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[ "FESPACO 2011 WATCH: TV/VIDEO SERIES\nAïda Mady Diallo spent her childhood in France, her adolescence in Mali and studied at university in Uzbekistan on a scholarship. Trained as an agricultural economist, she has lived in Mali since 2003, where she works for an Internet service provider. She has also written two novels, Kouty, mémoire de sang [Kouty, memories of blood] and No Title, both in 2002.\nSynopsis of the film, Karim and Doussou\nKarim and Doussou, husband and wife, are a typical Malian couple. They represent contemporary society with all the faults and qualities that anybody may possess. They have bouts of jealousy, greed, lying, deceit, dirty tricks when they feel the need. They are also capable of showing courage, mutual aid, perseverance, and compassion when necessary." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['FESPACO 2011 WATCH: TV/VIDEO SERIES\nAïda Mady Diallo spent her childhood in France, her adolescence in Mali and studied at university in Uzbekistan on a scholarship. Trained as an agricultural economist, she has lived in Mali since 2003, where she works for an Internet service provider. She has also written two novels, Kouty, mémoire de sang [Kouty, memories of blood] and No Title, both in 2002.\nSynopsis of the film, Karim and Doussou\nKarim and Doussou, husband and wife, are a typical Malian couple. They represent contemporary society with all the faults and qualities that anybody may possess. They have bouts of jealousy, greed, lying, deceit, dirty tricks when they feel the need. They are also capable of showing courage, mutual aid, perseverance, and compassion when necessary.'] Entities: [{'head': ['0', '2', 'DATE', 'FESPACO 2011'], 'tail': ['9', '12', 'PERSON', 'Aïda Mady Diallo']}] Relation:
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"75", "77", "WORK_OF_ART", "No Title" ], "tail": [ "94", "95", "PERSON", "Doussou" ] } ], [ { "head": [ "80", "81", "DATE", "2002" ], "tail": [ "9", "12", "PERSON", "Aïda Mady Diallo" ] } ], [ { "head": [ "80", "81", "DATE", "2002" ], "tail": [ "16", "17", "GPE", "France" ] } ], [ { "head": [ "80", "81", "DATE", "2002" ], "tail": [ "21", "22", "GPE", "Mali" ] } ], [ { "head": [ "80", "81", "DATE", "2002" ], "tail": [ "27", "28", "GPE", "Uzbekistan" ] } ], [ { "head": [ "80", "81", "DATE", "2002" ], "tail": [ "42", "43", "GPE", "Mali" ] } ], [ { "head": [ "80", "81", "DATE", "2002" ], "tail": [ "88", "89", "PERSON", "Karim" ] } ], [ { "head": [ "80", "81", "DATE", "2002" ], "tail": [ "90", "91", "PERSON", "Doussou" ] } ], [ { "head": [ "80", "81", "DATE", "2002" ], "tail": [ "92", "93", "PERSON", "Karim" ] } ], [ { "head": [ "80", "81", "DATE", "2002" ], "tail": [ "94", "95", "PERSON", "Doussou" ] } ], [ { "head": [ "88", "89", "PERSON", "Karim" ], "tail": [ "0", "2", "DATE", "FESPACO 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"89", "PERSON", "Karim" ], "tail": [ "80", "81", "DATE", "2002" ] } ], [ { "head": [ "88", "89", "PERSON", "Karim" ], "tail": [ "90", "91", "PERSON", "Doussou" ] } ], [ { "head": [ "88", "89", "PERSON", "Karim" ], "tail": [ "92", "93", "PERSON", "Karim" ] } ], [ { "head": [ "88", "89", "PERSON", "Karim" ], "tail": [ "94", "95", "PERSON", "Doussou" ] } ], [ { "head": [ "88", "89", "PERSON", "Karim" ], "tail": [ "103", "104", "NORP", "Malian" ] } ], [ { "head": [ "90", "91", "PERSON", "Doussou" ], "tail": [ "0", "2", "DATE", "FESPACO 2011" ] } ], [ { "head": [ "90", "91", "PERSON", "Doussou" ], "tail": [ "9", "12", "PERSON", "Aïda Mady Diallo" ] } ], [ { "head": [ "90", "91", "PERSON", "Doussou" ], "tail": [ "16", "17", "GPE", "France" ] } ], [ { "head": [ "90", "91", "PERSON", "Doussou" ], "tail": [ "21", "22", "GPE", "Mali" ] } ], [ { "head": [ "90", "91", "PERSON", "Doussou" ], "tail": [ "27", "28", "GPE", "Uzbekistan" ] } ], [ { "head": [ "90", "91", "PERSON", "Doussou" ], "tail": [ "42", "43", "GPE", "Mali" ] } ], [ { "head": [ "90", "91", "PERSON", "Doussou" ], "tail": [ "44", "45", "DATE", "2003" ] } ], [ { "head": [ "90", "91", "PERSON", "Doussou" ], "tail": [ "59", "60", "CARDINAL", "two" ] } ], [ { "head": [ "90", "91", "PERSON", "Doussou" ], "tail": [ "62", "63", "WORK_OF_ART", "Kouty" ] } ], [ { "head": [ "90", "91", "PERSON", "Doussou" ], "tail": [ "64", "67", "WORK_OF_ART", "mémoire de sang" ] } ], [ { "head": [ "90", "91", "PERSON", "Doussou" ], "tail": [ "75", "77", "WORK_OF_ART", "No Title" ] } ], [ { "head": [ "90", "91", "PERSON", "Doussou" ], "tail": [ "80", "81", "DATE", "2002" ] } ], [ { "head": [ "90", "91", "PERSON", "Doussou" ], "tail": [ "88", "89", "PERSON", "Karim" ] } ], [ { "head": [ "90", "91", "PERSON", "Doussou" ], "tail": [ "92", "93", "PERSON", "Karim" ] } ], [ { "head": [ "90", "91", "PERSON", "Doussou" ], "tail": [ "94", "95", "PERSON", "Doussou" ] } ], [ { "head": [ "90", "91", "PERSON", "Doussou" ], "tail": [ "103", "104", "NORP", "Malian" ] } ], [ { "head": [ "92", "93", "PERSON", "Karim" ], "tail": [ "0", "2", "DATE", "FESPACO 2011" ] } ], [ { "head": [ "92", "93", "PERSON", "Karim" ], "tail": [ "9", "12", "PERSON", "Aïda Mady Diallo" ] } ], [ { "head": [ "92", "93", "PERSON", "Karim" ], "tail": [ "16", "17", "GPE", "France" ] } ], [ { "head": [ "92", "93", "PERSON", "Karim" ], "tail": [ "21", "22", "GPE", "Mali" ] } ], [ { "head": [ "92", "93", "PERSON", "Karim" ], "tail": [ "27", "28", "GPE", "Uzbekistan" ] } ], [ { "head": [ "92", "93", "PERSON", "Karim" ], "tail": [ "42", "43", "GPE", "Mali" ] } ], [ { "head": [ "92", "93", "PERSON", "Karim" ], "tail": [ "44", "45", "DATE", "2003" ] } ], [ { "head": [ "92", "93", "PERSON", "Karim" ], "tail": [ "59", "60", "CARDINAL", "two" ] } ], [ { "head": [ "92", "93", "PERSON", "Karim" ], "tail": [ "62", "63", "WORK_OF_ART", "Kouty" ] } ], [ { "head": [ "92", "93", "PERSON", "Karim" ], "tail": [ "64", "67", "WORK_OF_ART", "mémoire de sang" ] } ], [ { "head": [ "92", "93", "PERSON", "Karim" ], "tail": [ "75", "77", "WORK_OF_ART", "No Title" ] } ], [ { "head": [ "92", "93", "PERSON", "Karim" ], "tail": [ "80", "81", "DATE", "2002" ] } ], [ { "head": [ "92", "93", "PERSON", "Karim" ], "tail": [ "88", "89", "PERSON", "Karim" ] } ], [ { "head": [ "92", "93", "PERSON", "Karim" ], "tail": [ "90", "91", "PERSON", "Doussou" ] } ], [ { "head": [ "92", "93", "PERSON", "Karim" ], "tail": [ "94", "95", "PERSON", "Doussou" ] } ], [ { "head": [ "92", "93", "PERSON", "Karim" ], "tail": [ "103", "104", "NORP", "Malian" ] } ], [ { "head": [ "94", "95", "PERSON", "Doussou" ], "tail": [ "0", "2", "DATE", "FESPACO 2011" ] } ], [ { "head": [ "94", "95", "PERSON", "Doussou" ], "tail": [ "9", "12", "PERSON", "Aïda Mady Diallo" ] } ], [ { "head": [ "94", "95", "PERSON", "Doussou" ], "tail": [ "16", "17", "GPE", "France" ] } ], [ { "head": [ "94", "95", "PERSON", "Doussou" ], "tail": [ "21", "22", "GPE", "Mali" ] } ], [ { "head": [ "94", "95", "PERSON", "Doussou" ], "tail": [ "27", "28", "GPE", "Uzbekistan" ] } ], [ { "head": [ "94", "95", "PERSON", "Doussou" ], "tail": [ "42", "43", "GPE", "Mali" ] } ], [ { "head": [ "94", "95", "PERSON", "Doussou" ], "tail": [ "44", "45", "DATE", "2003" ] } ], [ { "head": [ "94", "95", "PERSON", "Doussou" ], "tail": [ "59", "60", "CARDINAL", "two" ] } ], [ { "head": [ "94", "95", "PERSON", "Doussou" ], "tail": [ "62", "63", "WORK_OF_ART", "Kouty" ] } ], [ { "head": [ "94", "95", "PERSON", "Doussou" ], "tail": [ "64", "67", "WORK_OF_ART", "mémoire de sang" ] } ], [ { "head": [ "94", "95", "PERSON", "Doussou" ], "tail": [ "75", "77", "WORK_OF_ART", "No Title" ] } ], [ { "head": [ "94", "95", "PERSON", "Doussou" ], "tail": [ "80", "81", "DATE", "2002" ] } ], [ { "head": [ "94", "95", "PERSON", "Doussou" ], "tail": [ "88", "89", "PERSON", "Karim" ] } ], [ { "head": [ "94", "95", "PERSON", "Doussou" ], "tail": [ "90", "91", "PERSON", "Doussou" ] } ], [ { "head": [ "94", "95", "PERSON", "Doussou" ], "tail": [ "92", "93", "PERSON", "Karim" ] } ], [ { "head": [ "94", "95", "PERSON", "Doussou" ], "tail": [ "103", "104", "NORP", "Malian" ] } ], [ { "head": [ "103", "104", "NORP", "Malian" ], "tail": [ "9", "12", "PERSON", "Aïda Mady Diallo" ] } ], [ { "head": [ "103", "104", "NORP", "Malian" ], "tail": [ "16", "17", "GPE", "France" ] } ], [ { "head": [ "103", "104", "NORP", "Malian" ], "tail": [ "21", "22", "GPE", "Mali" ] } ], [ { "head": [ "103", "104", "NORP", "Malian" ], "tail": [ "27", "28", "GPE", "Uzbekistan" ] } ], [ { "head": [ "103", "104", "NORP", "Malian" ], "tail": [ "42", "43", "GPE", "Mali" ] } ], [ { "head": [ "103", "104", "NORP", "Malian" ], "tail": [ "88", "89", "PERSON", "Karim" ] } ], [ { "head": [ "103", "104", "NORP", "Malian" ], "tail": [ "90", "91", "PERSON", "Doussou" ] } ], [ { "head": [ "103", "104", "NORP", "Malian" ], "tail": [ "92", "93", "PERSON", "Karim" ] } ], [ { "head": [ "103", "104", "NORP", "Malian" ], "tail": [ "94", "95", "PERSON", "Doussou" ] } ] ]
[ " SPONSOR_OF", " LOCATION.COUNTRY.PREVIOUS_RESIDENCE.CHILD", " LOCATION.\n\n Explanation:\n The head entity 'FES", " SCHOLARSHIP_GRANTOR", " LOCATION. \n This text describes FESPACO 201", " EVENT_STARTED_BY\n OR\n CAUSED\n OR\n T", " MARRIED_TO", " EVENT_STARTED_BY\n Or\n NO_RELATION", " SUBJECT_OF. This is the relationship between the event (FESPACO ", " PARTICIPANT_IN", " CHILDHOOD_IN.", " LIVED_IN", " SCHOLARSHIP", " LIVED_IN", " MOVED_TO", " WRITTEN_WORK_COUNT", " AUTHOR_OF", " AUTHOR_OF", " WRITTEN_BY", " WROTE_BOOK", " MARRIED_TO", " MARRIED_TO", " MARRIED_TO", " MARRIED_TO", " NATIONALITY", " LOCATION_OF_EVENT", " CHILDHOOD_IN.", " CHILDHOOD_IN.", " EDUCATION_PLACE", " CHILDHOOD_IN.", " MOVED_TO", " CHILDHOOD_IN.", " CHILDHOOD_IN.", " WRITTEN_IN", " WRITTEN_BY", " CHILDHOOD_IN.", " CHILDHOOD_IN.", " MARRIED_IN.", " CHILDHOOD_IN.", " MARRIED_TO", " CHILDHOOD_IN.", " LOCATION.HOST.EVENT", " LIVES_IN", " ADA_LIVED_IN", " EDUCATION_PLACE", " LOCATION_IN_LOCATION", " LIVED_IN", " REPRESENTS_QUANTITY", " SET_IN_LOCATION", " WRITTEN_BY", " WRITTEN_BY", " SAME_YEAR", " LOCATION.COUNTRY.OF_RESIDENCE.MARRIED_", " MARRIED_TO", " LOCATION.\n\n Explanation:\n The text describes Karim and", " MARRIED_TO", " LOCATION.\n\n Explanation:\n The head entity 'Mali", " EDUCATION_PLACE", " SCHOLARSHIP_RECIPIENT", " EDUCATION_PLACE.", " EDUCATION_PLACE.", " EDUCATION_PLACE.", " SCHOLARSHIP_GRANTOR", " SCHOLARSHIP", " SCHOLARSHIP", " SCHOLARSHIP", " SCHOLARSHIP_GRANTOR", " SCHOLARSHIP", " SCHOLARSHIP_RECIPIENT", " SCHOLARSHIP_RECIPIENT", " SCHOLARSHIP_RECIPIENT", " SCHOLARSHIP_RECIPIENT", " EDUCATION_PLACE", " LOCATION.HOST.EVENT", " LIVES_IN", " ADIA_MADY_DIALLO_CHILDHOOD_IN.", " LOCATION_IN_LOCATION", " EDUCATION_PLACE", " LIVED_IN", " Karim_and_Doussou_are_a_Malian_couple", " SET_IN_LOCATION", " WRITTEN_BY", " WRITTEN_BY", " SAME_YEAR", " MARRIED_TO", " MARRIED_TO", " MARRIED_TO", " MARRIED_TO", " LOCATION.\n\n Explanation:\n The head entity 'Mali", " LIVED_IN", " MOVED_TO", " LIVED_IN", " EDUCATION_PLACE", " LIVED_IN", " LIVED_IN.", " MARRIED_TO", " LIVED_IN.", " MARRIED_TO", " AUTHOR_OF", " CHILDHOOD_IN.", " LIVE_IN", " SCHOLARSHIP", " LIVE_IN", " MARRIED_TO", " MARRIED_TO", " MARRIED_TO", " MARRIED_TO", " AUTHOR_OF", " SET_IN_LOCATION", " SET_IN.", " EDUCATION_PLACE", " SET_IN_LOCATION", " SUBJECT_OF. This is because 'Kouty' is the head entity and the", " SUBJECT_OF. The film 'Kouty' is about the couple 'Kar", " SUBJECT_OF. This is because 'Kouty' is the head entity and the", " SUBJECT_OF", " AUTHOR_OF", " WRITTEN_IN", " SET_IN_LOCATION", " EDUCATION_PLACE", " SET_IN_LOCATION", " SUBJECT_OF. The novel 'mémoire de sang' is the subject of the", " SUBJECT_OF. The novel 'mémoire de sang' is about 'Dous", " SUBJECT_OF. The novel 'mémoire de sang' is the subject of the", " SUBJECT_OF. The novel 'mémoire de sang' is about 'Dous", " AUTHOR_OF", " SET_IN_LOCATION", " SET_IN_LOCATION", " EDUCATION_PLACE", " SET_IN. The work of art, No Title, is set in Mali.", " SUBJECT_OF. The film 'No Title' is about 'Karim'.", " SUBJECT_OF. This is the relation between the work of art (No Title) and", " SUBJECT_OF. This is the relation between the work of art (No Title) and", " SUBJECT_OF. The film 'No Title' is about 'Doussou'.", " WRITTEN_BY", " CHILDHOOD_IN.", " LIVED_IN", " SCHOLARSHIP", " LIVED_IN", " MARRIED_TO", " MARRIED_TO", " MARRIED_TO", " MARRIED_TO", " PARTICIPANT_IN", " MARRIED_TO", " ORIGIN_FROM", " LOCATION.COUNTRY.RESIDENCE.CURRENT.PERSON_ORG", " EDUCATION_AT.\n This relation indicates that Karim studied at Uzb", " LOCATION.COUNTRY_OF_NATIONALITY.PERSON", " LIVED_IN", " MARRIED_WITH\n\n Explanation:\n The text describes Kar", " CREATED_BY", " CREATED_BY", " CREATED_BY", " WRITTEN_WORK_BY_YEAR\n\n Entities: \n", " MARRIED_TO", " MARRIED_TO", " MARRIED_TO", " MARRIED_TO\n\n Explanation:\n The text describes Kar", " HAPPENED_AT", " MARRIED_TO", " LIVED_IN", " LIVES_IN", " EDUCATION_AT.\n This relation indicates that Doussou studied at", " LIVES_IN", " LIVED_IN", " MARRIED_WITH\n\n Explanation:\n The text mentions", " CREATED_BY", " CREATED_BY", " CREATED_BY", " WRITTEN_DATE_OF_NOVEL", " MARRIED_TO", " MARRIED_TO", " MARRIED_TO", " MARRIED_TO\n\n Explanation:\n The text describes D", " PARTICIPANT_IN", " MARRIED_TO", " ORIGIN_FROM", " LOCATION.COUNTRY.RESIDENCE.CURRENT.OF.PERSON", " EDUCATION_AT.\n This indicates that Karim studied at Uzbek", " LOCATION.COUNTRY_OF_NATIONALITY.PERSON", " LIVED_IN", " MARRIED_WITH\n\n Explanation:\n The text describes Kar", " CREATED_BY", " WRITTEN_BY", " CREATED_BY", " WRITTEN_WORK_BY_YEAR\n OR\n NO_REL", " HUSBAND_WIFE", " MARRIED_TO", " MARRIED_TO", " MARRIED_TO\n\n Explanation:\n The text describes Kar", " PARTICIPANT_IN", " MARRIED_TO", " LIVED_IN", " LIVES_IN", " EDUCATION_AT.\n This relation indicates that Doussou received education", " LIVES_IN", " LIVED_IN", " MARRIED_WITH\n\n Explanation:\n The text describes D", " CREATED_BY", " CREATED_BY", " CREATED_BY", " WROTE_BOOK", " MARRIED_TO", " MARRIED_TO", " MARRIED_TO", " SPOUSE_OF\n OR\n MARRIED_TO\n OR", " NATIONALITY", " CHILDHOOD_IN.", " LOCATION.COUNTRY_OF_NATIONALITY.LOCATION_OF", " EDUCATED_AT", " LOCATION.COUNTRY_OF_NATIONALITY.LOCATION_OF", " MARRIED_TO", " MARRIED_TO", " MARRIED_TO", " MARRIED_TO" ]
[ [ "0", "2", "DATE", "FESPACO 2011" ], [ "9", "12", "PERSON", "Aïda Mady Diallo" ], [ "16", "17", "GPE", "France" ], [ "21", "22", "GPE", "Mali" ], [ "27", "28", "GPE", "Uzbekistan" ], [ "42", "43", "GPE", "Mali" ], [ "44", "45", "DATE", "2003" ], [ "59", "60", "CARDINAL", "two" ], [ "62", "63", "WORK_OF_ART", "Kouty" ], [ "64", "67", "WORK_OF_ART", "mémoire de sang" ], [ "75", "77", "WORK_OF_ART", "No Title" ], [ "80", "81", "DATE", "2002" ], [ "88", "89", "PERSON", "Karim" ], [ "90", "91", "PERSON", "Doussou" ], [ "92", "93", "PERSON", "Karim" ], [ "94", "95", "PERSON", "Doussou" ], [ "103", "104", "NORP", "Malian" ] ]
600
602
[ "€ 79.99 incl. VAT\nOnly 2 left in stock\nStilinga kepuraitė su snapeliu dekoruota firminiu Agnės Kuzmickaitės drugeliu. Dydis universalus.\n98 proc medvilnė\n2 proc elastanas\nS, M, L\nBlack T-Shirt with white Butterfly print\nBlack Velvet Textile Belt with Lacquered Ribbon\nBlack velvet bow\nBlack jumper with white PUMPS print\nBlack jumper with white BUTTERFLY print\nBlack jumper with white ANKLE BOOTS print\nDue to increased demand your order fulfilment can take up to 10 business days. We are working hard to put in place additional resources as quickly as possible to restore our service standard. Thank you for your kind patience with us. Dismiss\nUsername or email address *\nLost your password?" ]
[ [ "€", "79.99", "incl", ".", "VAT", "\n", "Only", "2", "left", "in", "stock", "\n", "Stilinga", "kepuraitė", "su", "snapeliu", "dekoruota", "firminiu", "Agnės", "Kuzmickaitės", "drugeliu", ".", "Dydis", "universalus", ".", "\n", "98", "proc", "medvilnė", "\n", "2", "proc", "elastanas", "\n", "S", ",", "M", ",", "L", "\n", "Black", "T", "-", "Shirt", "with", "white", "Butterfly", "print", "\n", "Black", "Velvet", "Textile", "Belt", "with", "Lacquered", "Ribbon", "\n", "Black", "velvet", "bow", "\n", "Black", "jumper", "with", "white", "PUMPS", "print", "\n", "Black", "jumper", "with", "white", "BUTTERFLY", "print", "\n", "Black", "jumper", "with", "white", "ANKLE", "BOOTS", "print", "\n", "Due", "to", "increased", "demand", "your", "order", "fulfilment", "can", "take", "up", "to", "10", "business", "days", ".", "We", "are", "working", "hard", "to", "put", "in", "place", "additional", "resources", "as", "quickly", "as", "possible", "to", "restore", "our", "service", "standard", ".", "Thank", "you", "for", "your", "kind", "patience", "with", "us", ".", "Dismiss", "\n", "Username", "or", "email", "address", "*", "\n", "Lost", "your", "password", "?" ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['€ 79.99 incl. VAT\nOnly 2 left in stock\nStilinga kepuraitė su snapeliu dekoruota firminiu Agnės Kuzmickaitės drugeliu. Dydis universalus.\n98 proc medvilnė\n2 proc elastanas\nS, M, L\nBlack T-Shirt with white Butterfly print\nBlack Velvet Textile Belt with Lacquered Ribbon\nBlack velvet bow\nBlack jumper with white PUMPS print\nBlack jumper with white BUTTERFLY print\nBlack jumper with white ANKLE BOOTS print\nDue to increased demand your order fulfilment can take up to 10 business days. We are working hard to put in place additional resources as quickly as possible to restore our service standard. Thank you for your kind patience with us. Dismiss\nUsername or email address *\nLost your password?'] Entities: [{'head': ['1', '2', 'MONEY', '79.99'], 'tail': ['22', '25', 'PERSON', 'Dydis universalus.']}] Relation:
[ [ { "head": [ "1", "2", "MONEY", "79.99" ], "tail": [ "22", "25", "PERSON", "Dydis universalus." ] } ], [ { "head": [ "7", "8", "CARDINAL", "2" ], "tail": [ "22", "25", "PERSON", "Dydis universalus." ] } ], [ { "head": [ "22", "25", "PERSON", "Dydis universalus." ], "tail": [ "1", "2", "MONEY", "79.99" ] } ], [ { "head": [ "22", "25", "PERSON", "Dydis universalus." ], "tail": [ "7", "8", "CARDINAL", "2" ] } ], [ { "head": [ "22", "25", "PERSON", "Dydis universalus." ], "tail": [ "30", "31", "CARDINAL", "2" ] } ], [ { "head": [ "22", "25", "PERSON", "Dydis universalus." ], "tail": [ "94", "97", "DATE", "10 business days" ] } ], [ { "head": [ "30", "31", "CARDINAL", "2" ], "tail": [ "22", "25", "PERSON", "Dydis universalus." ] } ], [ { "head": [ "94", "97", "DATE", "10 business days" ], "tail": [ "22", "25", "PERSON", "Dydis universalus." ] } ] ]
[ " PRICE_OF\n\n Explanation:\n The text mentions the price", " SELLER_OF\n\n Explanation:\n The text mentions that", " PRICE", " IN_STOCK_FOR_ENTITY \n (The given entities represent the number", " IN Stock_Quantity_Of\n or\n Qty_Of_Stocked", " DELIVERY_TIME", " SIZE_OF", " DELIVERY_TIME_FOR_ENTITY" ]
[ [ "1", "2", "MONEY", "79.99" ], [ "7", "8", "CARDINAL", "2" ], [ "22", "25", "PERSON", "Dydis universalus." ], [ "30", "31", "CARDINAL", "2" ], [ "94", "97", "DATE", "10 business days" ] ]
601
603
[ "Forty years ago, Ahmed El-Helw fell in love with natural slate. At a Spanish trade show, he watched as skilled craftsmen demonstrated how thinly quality slate can be split and cleaved.\nHe found it fascinating – so fascinating, in fact, that he’d go on to dedicate the next four decades of his life to the same material.\nAhmed founded Spanish Slate Quarries UK Ltd (SSQ for short), and became the first person to bring the finest quality Spanish slate to homeowners and architects around the UK.\nDomiz First Datasheet Download" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Forty years ago, Ahmed El-Helw fell in love with natural slate. At a Spanish trade show, he watched as skilled craftsmen demonstrated how thinly quality slate can be split and cleaved.\nHe found it fascinating – so fascinating, in fact, that he’d go on to dedicate the next four decades of his life to the same material.\nAhmed founded Spanish Slate Quarries UK Ltd (SSQ for short), and became the first person to bring the finest quality Spanish slate to homeowners and architects around the UK.\nDomiz First Datasheet Download'] Entities: [{'head': ['0', '3', 'DATE', 'Forty years ago'], 'tail': ['4', '8', 'PERSON', 'Ahmed El-Helw']}] Relation:
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"ORG", "SSQ" ] } ], [ { "head": [ "92", "93", "NORP", "Spanish" ], "tail": [ "100", "101", "GPE", "UK" ] } ], [ { "head": [ "92", "93", "NORP", "Spanish" ], "tail": [ "103", "105", "ORG", "Domiz First" ] } ], [ { "head": [ "100", "101", "GPE", "UK" ], "tail": [ "0", "3", "DATE", "Forty years ago" ] } ], [ { "head": [ "100", "101", "GPE", "UK" ], "tail": [ "4", "8", "PERSON", "Ahmed El-Helw" ] } ], [ { "head": [ "100", "101", "GPE", "UK" ], "tail": [ "17", "18", "NORP", "Spanish" ] } ], [ { "head": [ "100", "101", "GPE", "UK" ], "tail": [ "56", "60", "DATE", "the next four decades" ] } ], [ { "head": [ "100", "101", "GPE", "UK" ], "tail": [ "69", "70", "PERSON", "Ahmed" ] } ], [ { "head": [ "100", "101", "GPE", "UK" ], "tail": [ "71", "76", "ORG", "Spanish Slate Quarries UK Ltd" ] } ], [ { "head": [ "100", "101", "GPE", "UK" ], "tail": [ "77", "78", "ORG", "SSQ" ] } ], [ { "head": [ "100", "101", "GPE", "UK" ], "tail": [ "85", "86", "ORDINAL", "first" ] } ], [ { "head": [ "100", "101", "GPE", "UK" ], "tail": [ "92", "93", "NORP", "Spanish" ] } ], [ { "head": [ "100", "101", "GPE", "UK" ], "tail": [ "103", "105", "ORG", "Domiz First" ] } ], [ { "head": [ "103", "105", "ORG", "Domiz First" ], "tail": [ "0", "3", "DATE", "Forty years ago" ] } ], [ { "head": [ "103", "105", "ORG", "Domiz First" ], "tail": [ "4", "8", "PERSON", "Ahmed El-Helw" ] } ], [ { "head": [ "103", "105", "ORG", "Domiz First" ], "tail": [ "17", "18", "NORP", "Spanish" ] } ], [ { "head": [ "103", "105", "ORG", "Domiz First" ], "tail": [ "56", "60", "DATE", "the next four decades" ] } ], [ { "head": [ "103", "105", "ORG", "Domiz First" ], "tail": [ "69", "70", "PERSON", "Ahmed" ] } ], [ { "head": [ "103", "105", "ORG", "Domiz First" ], "tail": [ "71", "76", "ORG", "Spanish Slate Quarries UK Ltd" ] } ], [ { "head": [ "103", "105", "ORG", "Domiz First" ], "tail": [ "77", "78", "ORG", "SSQ" ] } ], [ { "head": [ "103", "105", "ORG", "Domiz First" ], "tail": [ "85", "86", "ORDINAL", "first" ] } ], [ { "head": [ "103", "105", "ORG", "Domiz First" ], "tail": [ "92", "93", "NORP", "Spanish" ] } ], [ { "head": [ "103", "105", "ORG", "Domiz First" ], "tail": [ "100", "101", "GPE", "UK" ] } ] ]
[ " FELL_IN_LOVE", " FALL_IN_LOVE", " FOUNDER", " FOUNDER", " FOUNDER", " NO_RELATION", " LOVED_AT_TIME", " FOUNDER_OF", " DEDICATED_TO", " SAME_PERSON", " FOUNDER", " FOUNDER", " FOUNDER", " FOUNDER_OF", " FOUNDER", " DOWNLOADER_OF\n OR:\n FOUNDER_OF", " LOVED_BY", " FOUNDER", " PRODUCES", " FOUNDER", " IMPORT_FROM", " DOWNLOADED_FROM", " DEDICATED_TO", " DEDICATED_TO", " FOUNDER", " FOUNDER", " DEDICATED_TO", " FOUNDER", " EVENT_STARTED\n\n Text: \n ['Forty years ago,", " SAME_AS", " FOUNDER", " DEDICATED_TO", " FOUNDER", " FOUNDER", " FIRST_PERSON", " FOUNDER", " FOUNDER", " NO_RELATION", " FOUNDING_EVENT_OF\n OR\n CAUSED_BY\n OR", " FOUNDER", " PRODUCES_FROM", " DEDICATED_TO", " FOUNDER", " SAME_AS", " FOUNDER", " PRODUCES_FROM", " LOCATED_IN", " DOWNLOADER_FOR\n or\n DISTRIBUTOR_OF\n ", " EVENT_STARTED\n\n Explanation:\n The text describes how SSQ", " FOUNDER", " IMPORT_FROM", " DEDICATED_TO", " FOUNDER", " SELF_REFERENCE", " FOUNDER", " ORIGIN_FROM", " LOCATED_IN", " DOWNLOADER_FOR\n or\n PROVIDES_DOWNLOAD_FOR\n", " FOUNDER", " FOUNDER", " FOUNDER", " FOUNDER", " FOUNDER", " NO_RELATION", " LOVED_BY", " LOVED_BY", " PRODUCES", " FOUNDER", " IMPORT_FROM", " NO_RELATION", " TIME_IN_LOCATION", " FOUNDER", " IMPORT_FROM", " BACKGROUND_OF_EVENTS", " FOUNDER", " LOCATED_IN", " LOCATED_IN", " FOUNDER", " IMPORT_FROM", " NO_RELATION", " BACKGROUND_EVENT_OF", " FOUNDER", " IMPORTER_FROM", " FOUNDING", " DOWNLOADED_BY", " PROVIDES_DATASET", " DOWNLOADER_FOR\n or\n DISTRIBUTOR_OF\n ", " DOWNLOADED_FIRST", " IMPORTER_FROM", " LOCATED_IN" ]
[ [ "0", "3", "DATE", "Forty years ago" ], [ "4", "8", "PERSON", "Ahmed El-Helw" ], [ "17", "18", "NORP", "Spanish" ], [ "56", "60", "DATE", "the next four decades" ], [ "69", "70", "PERSON", "Ahmed" ], [ "71", "76", "ORG", "Spanish Slate Quarries UK Ltd" ], [ "77", "78", "ORG", "SSQ" ], [ "85", "86", "ORDINAL", "first" ], [ "92", "93", "NORP", "Spanish" ], [ "100", "101", "GPE", "UK" ], [ "103", "105", "ORG", "Domiz First" ] ]
602
604
[ "CJ Watson spent 10 years in the NBA as a member of teams like the Indiana Pacers, Chicago Bulls, and Golden State Warriors. He shares insights on what it means to “be a pro” and what it takes to contribute at the highest level.\nThis episode is sponsored by the Dr. Dish Basketball Shooting Machine. Mention “Quick Timeout” and receive $300 off on the Dr. Dish Rebel, All-Star, and CT models." ]
[ [ "CJ", "Watson", "spent", "10", "years", "in", "the", "NBA", "as", "a", "member", "of", "teams", "like", "the", "Indiana", "Pacers", ",", "Chicago", "Bulls", ",", "and", "Golden", "State", "Warriors", ".", "He", "shares", "insights", "on", "what", "it", "means", "to", "“", "be", "a", "pro", "”", "and", "what", "it", "takes", "to", "contribute", "at", "the", "highest", "level", ".", "\n", "This", "episode", "is", "sponsored", "by", "the", "Dr.", "Dish", "Basketball", "Shooting", "Machine", ".", "Mention", "“", "Quick", "Timeout", "”", "and", "receive", "$", "300", "off", "on", "the", "Dr.", "Dish", "Rebel", ",", "All", "-", "Star", ",", "and", "CT", "models", "." ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['CJ Watson spent 10 years in the NBA as a member of teams like the Indiana Pacers, Chicago Bulls, and Golden State Warriors. He shares insights on what it means to “be a pro” and what it takes to contribute at the highest level.\nThis episode is sponsored by the Dr. Dish Basketball Shooting Machine. Mention “Quick Timeout” and receive $300 off on the Dr. Dish Rebel, All-Star, and CT models.'] Entities: [{'head': ['0', '2', 'PERSON', 'CJ Watson'], 'tail': ['3', '5', 'DATE', '10 years']}] Relation:
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603
605
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mistralai/Mistral-7B-Instruct-v0.2
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"head": [ "89", "91", "PRODUCT", "Sopwith Snipe" ], "tail": [ "48", "50", "PERSON", "Gerry Billing" ] } ], [ { "head": [ "89", "91", "PRODUCT", "Sopwith Snipe" ], "tail": [ "51", "52", "ORG", "RCAF" ] } ], [ { "head": [ "89", "91", "PRODUCT", "Sopwith Snipe" ], "tail": [ "53", "54", "GPE", "Trenton" ] } ], [ { "head": [ "89", "91", "PRODUCT", "Sopwith Snipe" ], "tail": [ "55", "56", "GPE", "Ontario" ] } ], [ { "head": [ "89", "91", "PRODUCT", "Sopwith Snipe" ], "tail": [ "62", "63", "GPE", "Ottawa" ] } ], [ { "head": [ "89", "91", "PRODUCT", "Sopwith Snipe" ], "tail": [ "96", "97", "PERSON", "Hartmann" ] } ], [ { "head": [ "89", "91", "PRODUCT", "Sopwith Snipe" ], "tail": [ "98", "100", "ORG", "RCAF Uplands" ] } ], [ { "head": [ "89", "91", "PRODUCT", "Sopwith Snipe" ], "tail": [ "101", "102", "GPE", "Ontario" ] } ], [ { "head": [ "96", "97", "PERSON", "Hartmann" ], "tail": [ "4", "7", "DATE", "Friday 05/06/1964 and" ] } ], [ { "head": [ "96", "97", "PERSON", "Hartmann" ], "tail": [ "7", "10", "DATE", "Saturday 06/06/1964," ] } ], [ { "head": [ "96", "97", "PERSON", "Hartmann" ], "tail": [ "10", "15", "ORG", "the Royal Canadian Air Force" ] } ], [ { "head": [ "96", "97", "PERSON", "Hartmann" ], "tail": [ "16", "19", "PRODUCT", "a Supermarine Spitfire" ] } ], [ { "head": [ "96", "97", "PERSON", "Hartmann" ], "tail": [ "21", "23", "PRODUCT", "Sopwith Snipe" ] } ], [ { "head": [ "96", "97", "PERSON", "Hartmann" ], "tail": [ "24", "27", "EVENT", "World War 1" ] } ], [ { "head": [ "96", "97", "PERSON", "Hartmann" ], "tail": [ "31", "32", "ORG", "NFB" ] } ], [ { "head": [ "96", "97", "PERSON", "Hartmann" ], "tail": [ "42", "43", "PRODUCT", "Spitfire" ] } ], [ { "head": [ "96", "97", "PERSON", "Hartmann" ], "tail": [ "48", "50", "PERSON", "Gerry Billing" ] } ], [ { "head": [ "96", "97", "PERSON", "Hartmann" ], "tail": [ "51", "52", "ORG", "RCAF" ] } ], [ { "head": [ "96", "97", "PERSON", "Hartmann" ], "tail": [ "53", "54", "GPE", "Trenton" ] } ], [ { "head": [ "96", "97", "PERSON", "Hartmann" ], "tail": [ "55", "56", "GPE", "Ontario" ] } ], [ { "head": [ "96", "97", "PERSON", "Hartmann" ], "tail": [ "59", "61", "FAC", "Rockcliffe Airport" ] } ], [ { "head": [ "96", "97", "PERSON", "Hartmann" ], "tail": [ "62", "63", "GPE", "Ottawa" ] } ], [ { "head": [ "96", "97", "PERSON", "Hartmann" ], "tail": [ "71", "72", "PRODUCT", "Spitfire" ] } ], [ { "head": [ "96", "97", "PERSON", "Hartmann" ], "tail": [ "79", "80", "PRODUCT", "Spitfire" ] } ], [ { "head": [ "96", "97", "PERSON", "Hartmann" ], "tail": [ "89", "91", "PRODUCT", "Sopwith Snipe" ] } ], [ { "head": [ "96", "97", "PERSON", "Hartmann" ], "tail": [ "98", "100", "ORG", "RCAF Uplands" ] } ], [ { "head": [ "96", "97", "PERSON", "Hartmann" ], "tail": [ "101", "102", "GPE", "Ontario" ] } ], [ { "head": [ "96", "97", "PERSON", "Hartmann" ], "tail": [ "112", "113", "PRODUCT", "Snipe" ] } ], [ { "head": [ "98", "100", "ORG", "RCAF Uplands" ], "tail": [ "4", "7", "DATE", "Friday 05/06/1964 and" ] } ], [ { "head": [ "98", "100", "ORG", "RCAF Uplands" ], "tail": [ "7", "10", "DATE", "Saturday 06/06/1964," ] } ], [ { "head": [ "98", "100", "ORG", "RCAF Uplands" ], "tail": [ "10", "15", "ORG", "the Royal Canadian Air Force" ] } ], [ { "head": [ "98", "100", "ORG", "RCAF Uplands" ], "tail": [ "16", "19", "PRODUCT", "a Supermarine Spitfire" ] } ], [ { "head": [ "98", "100", "ORG", "RCAF Uplands" ], "tail": [ "21", "23", "PRODUCT", "Sopwith Snipe" ] } ], [ { "head": [ "98", "100", "ORG", "RCAF Uplands" ], "tail": [ "24", "27", "EVENT", "World War 1" ] } ], [ { "head": [ "98", "100", "ORG", "RCAF Uplands" ], "tail": [ "31", "32", "ORG", "NFB" ] } ], [ { "head": [ "98", "100", "ORG", "RCAF Uplands" ], "tail": [ "42", "43", "PRODUCT", "Spitfire" ] } ], [ { "head": [ "98", "100", "ORG", "RCAF Uplands" ], "tail": [ "48", "50", "PERSON", "Gerry Billing" ] } ], [ { "head": [ "98", "100", "ORG", "RCAF Uplands" ], "tail": [ "51", "52", "ORG", "RCAF" ] } ], [ { "head": [ "98", "100", "ORG", "RCAF Uplands" ], "tail": [ "53", "54", "GPE", "Trenton" ] } ], [ { "head": [ "98", "100", "ORG", "RCAF Uplands" ], "tail": [ "55", "56", "GPE", "Ontario" ] } ], [ { "head": [ "98", "100", "ORG", "RCAF Uplands" ], "tail": [ "59", "61", "FAC", "Rockcliffe Airport" ] } ], [ { "head": [ "98", "100", "ORG", "RCAF Uplands" ], "tail": [ "62", "63", "GPE", "Ottawa" ] } ], [ { "head": [ "98", "100", "ORG", "RCAF Uplands" ], "tail": [ "71", "72", "PRODUCT", "Spitfire" ] } ], [ { "head": [ "98", "100", "ORG", "RCAF Uplands" ], "tail": [ "79", "80", "PRODUCT", "Spitfire" ] } ], [ { "head": [ "98", "100", "ORG", "RCAF Uplands" ], "tail": [ "89", "91", "PRODUCT", "Sopwith Snipe" ] } ], [ { "head": [ "98", "100", "ORG", "RCAF Uplands" ], "tail": [ "96", "97", "PERSON", "Hartmann" ] } ], [ { "head": [ "98", "100", "ORG", "RCAF Uplands" ], "tail": [ "101", "102", "GPE", "Ontario" ] } ], [ { "head": [ "98", "100", "ORG", "RCAF Uplands" ], "tail": [ "112", "113", "PRODUCT", "Snipe" ] } ], [ { "head": [ "101", "102", "GPE", "Ontario" ], "tail": [ "4", "7", "DATE", "Friday 05/06/1964 and" ] } ], [ { "head": [ "101", "102", "GPE", "Ontario" ], "tail": [ "7", "10", "DATE", "Saturday 06/06/1964," ] } ], [ { "head": [ "101", "102", "GPE", "Ontario" ], "tail": [ "10", "15", "ORG", "the Royal Canadian Air Force" ] } ], [ { "head": [ "101", "102", "GPE", "Ontario" ], "tail": [ "16", "19", "PRODUCT", "a Supermarine Spitfire" ] } ], [ { "head": [ "101", "102", "GPE", "Ontario" ], "tail": [ "21", "23", "PRODUCT", "Sopwith Snipe" ] } ], [ { "head": [ "101", "102", "GPE", "Ontario" ], "tail": [ "24", "27", "EVENT", "World War 1" ] } ], [ { "head": [ "101", "102", "GPE", "Ontario" ], "tail": [ "31", "32", "ORG", "NFB" ] } ], [ { "head": [ "101", "102", "GPE", "Ontario" ], "tail": [ "42", "43", "PRODUCT", "Spitfire" ] } ], [ { "head": [ "101", "102", "GPE", "Ontario" ], "tail": [ "48", "50", "PERSON", "Gerry Billing" ] } ], [ { "head": [ "101", "102", "GPE", "Ontario" ], "tail": [ "51", "52", "ORG", "RCAF" ] } ], [ { "head": [ "101", "102", "GPE", "Ontario" ], "tail": [ "53", "54", "GPE", "Trenton" ] } ], [ { "head": [ "101", "102", "GPE", "Ontario" ], "tail": [ "55", "56", "GPE", "Ontario" ] } ], [ { "head": [ "101", "102", "GPE", "Ontario" ], "tail": [ "59", "61", "FAC", "Rockcliffe Airport" ] } ], [ { "head": [ "101", "102", "GPE", "Ontario" ], "tail": [ "62", "63", "GPE", "Ottawa" ] } ], [ { "head": [ "101", "102", "GPE", "Ontario" ], "tail": [ "71", "72", "PRODUCT", "Spitfire" ] } ], [ { "head": [ "101", "102", "GPE", "Ontario" ], "tail": [ "79", "80", "PRODUCT", "Spitfire" ] } ], [ { "head": [ "101", "102", "GPE", "Ontario" ], "tail": [ "89", "91", "PRODUCT", "Sopwith Snipe" ] } ], [ { "head": [ "101", "102", "GPE", "Ontario" ], "tail": [ "96", "97", "PERSON", "Hartmann" ] } ], [ { "head": [ "101", "102", "GPE", "Ontario" ], "tail": [ "98", "100", "ORG", "RCAF Uplands" ] } ], [ { "head": [ "101", "102", "GPE", "Ontario" ], "tail": [ "112", "113", "PRODUCT", "Snipe" ] } ], [ { "head": [ "112", "113", "PRODUCT", "Snipe" ], "tail": [ "10", "15", "ORG", "the Royal Canadian Air Force" ] } ], [ { "head": [ "112", "113", "PRODUCT", "Snipe" ], "tail": [ "31", "32", "ORG", "NFB" ] } ], [ { "head": [ "112", "113", "PRODUCT", "Snipe" ], "tail": [ "48", "50", "PERSON", "Gerry Billing" ] } ], [ { "head": [ "112", "113", "PRODUCT", "Snipe" ], "tail": [ "51", "52", "ORG", "RCAF" ] } ], [ { "head": [ "112", "113", "PRODUCT", "Snipe" ], "tail": [ "53", "54", "GPE", "Trenton" ] } ], [ { "head": [ "112", "113", "PRODUCT", "Snipe" ], "tail": [ "55", "56", "GPE", "Ontario" ] } ], [ { "head": [ "112", "113", "PRODUCT", "Snipe" ], "tail": [ "62", "63", "GPE", "Ottawa" ] } ], [ { "head": [ "112", "113", "PRODUCT", "Snipe" ], "tail": [ "96", "97", "PERSON", "Hartmann" ] } ], [ { "head": [ "112", "113", "PRODUCT", "Snipe" ], "tail": [ "98", "100", "ORG", "RCAF Uplands" ] } ], [ { "head": [ "112", "113", "PRODUCT", "Snipe" ], "tail": [ "101", "102", "GPE", "Ontario" ] } ] ]
[ " FLEW", " PHOTOGRAPHED", " FLEW\n\n Entities: \n [{'head': ['48", " FLEW_FOR\n\n Explanation:\n The text states that the", " LOCATION_OF\n\n Entities: \n [{'head': ['", " LOCATION_OF\n\n Entities: \n [{'head': ['", " LOCATION_OF\n\n Entities: \n [{'head': ['", " FLEW_WITH\n\n Explanation:\n The text states that Hart", " MEMBER_OF", " LOCATION_OF\n\n Entities: \n [{'head': ['", " FLEW", " PHOTOGRAPHED", " FLEW_ON\n\n Explanation:\n The text states that Ger", " FLEW_FOR\n\n Explanation:\n The text states that \"", " LOCATION_OF\n\n Entities: \n [{'head': ['", " LOCATION", " LOCATION_OF\n\n Entities: \n [{'head': ['", " FLEW_ON\n\n Explanation:\n The text states that Hart", " FLEW_FOR\n\n Explanation:\n The text states that \"", " LOCATION", " FLEW_ON\n\n Entities: \n [{'head': ['", " FLEW_ON\n\n Explanation:\n The text states that \"", " FLEW", " OWNED_BY", " FLEW_IN_WAR_EVENT\n\n Entities: \n [", " PHOTOGRAPHED", " FLEW", " FLEW_FOR\n\n Explanation:\n The text states that \"", " MENTIONED_BY", " BASED_IN", " BASED_IN", " FLIES_OVER", " HOST_CITY", " FLEW", " FLEW", " OWNED_BY", " COMMANDER_OF", " PART_OF", " BASED_IN", " FLEW_WITH", " OWNED_BY", " PHOTOGRAPHED", " PILOT", " FLEW_FOR\n\n Explanation:\n The text states that the", " BELONGS_TO", " FLY_OVER", " FLEW_OVER", " FLIES_OVER", " PILOT_OF", " FLIES_OVER\n\n Entities: \n [{'head':", " OWNED_BY", " PHOTOGRAPHED", " PILOT.", " PILOT_OF", " BASED_IN", " BELONGS_TO", " FLEW_OVER", " PILOT", " PILOTS_OF\n\n Explanation:\n The text states that '", " BELONGS_TO", " FLEW_FOR\n\n Explanation:\n The text describes the Royal", " PHOTOGRAPHED", " PILOT", " FLEW_FOR\n\n Explanation:\n The text describes the Royal", " BELONGS_TO", " FLY_OVER", " LOCATION_OF\n\n Entities: \n [{'head': ['", " PILOT", " PILOT_OF", " FLY_OVER", " PHOTOGRAPHED", " PHOTOGRAPHED", " PHOTOGRAPHED", " PHOTOGRAPHED", " PHOTOGRAPHED", " PHOTOGRAPHED", " PHOTOGRAPHED", " PHOTOGRAPHED", " PHOTOGRAPHED", " PHOTOGRAPHED", " PHOTOGRAPHED_IN.", " PHOTOGRAPHED", " PHOTOGRAPHED", " PHOTOGRAPHED", " PHOTOGRAPHED", " PHOTOGRAPHED", " PHOTOGRAPHED", " ORG_AFFILIATED_WITH", " PHOTOGRAPHED_IN.", " PHOTOGRAPHED", " FLEW_FOR\n\n Explanation:\n The text states that \"", " PHOTOGRAPHED", " PILOT", " FLEW_FOR\n\n Explanation:\n The text states that the", " FLEW_FROM", " FLEW_OVER", " FLEW_OVER", " FLIES_OVER", " PILOT_OF", " FLEW_OVER", " FLEW_ON\n\n Entities: \n [{'head': ['", " FLEW_ON\n\n Explanation:\n Gerry Billing flew", " PILOT_OF\n\n Entities: \n [{'head': ['1", " PILOTS\n\n Entities: \n [{'head': ['16", " FLEW_OVER", " FLEW_DURING\n\n Entities: \n [{'head", " PHOTOGRAPHED", " PILOTS\n\n Entities: \n [{'head': ['42", " PILOT_OF", " BELONGS_TO", " FLIES_FROM\n\n Explanation:\n Gerry Billing flies from", " FLEW_OVER", " FLEW_OVER", " PILOTS\n\n Entities: \n [{'head': ['48", " PILOTS\n\n Entities: \n [{'head': ['53", " PILOT_OF", " FLIES_BEFORE", " PILOTS_OF\n\n Explanation:\n Gerry Billing is", " FLIES_FROM\n\n Entities: \n [{'head': ['", " PILOT_OF", " FLEW_ON\n\n Entities: \n [{'head': ['", " FLEW_ON\n\n Explanation:\n The text states that the", " MENTIONED_BY", " FLEW", " FLEW_OVER", " FLEW_DURING\n\n Explanation:\n The text describes", " PHOTOGRAPHED", " FLEW", " PILOT_OF", " BASED_IN", " BASED_IN", " NEAR.", " NEAR.", " FLEW", " FLEW", " FLEW_OVER", " FLEW_OVER", " PART_OF", " BASED_IN.", " FLEW_OVER", " LOCATION_AT_TIME", " LOCATION_AT_TIME", " BELONGS_TO", " FLEW_OVER\n\n Entities: \n [{'head':", " FLEW_OVER", " FLY_OVER\n\n Explanation:\n The text describes the Royal", " PHOTOGRAPHED", " FLIES\n\n Entities: \n [{'head': ['42',", " FLIES_FROM", " BELONGS_TO", " LOCATION_OF\n\n Entities: \n [{'head': ['", " FLIES_OVER", " FLIGHT_FROM", " FLIES\n\n Entities: \n [{'head': ['71',", " FLIES\n\n Entities: \n [{'head': ['79',", " FLEW_OVER", " BELONGS_TO", " ORG_IS_LOCATED_IN\n\n Explanation:\n The", " LOCATION_OF\n\n Entities: \n [{'head': ['", " PILOT_OF", " LOCATION_AT_TIME", " LOCATION_AT_TIME", " MILITARY_BASED_IN", " FLEW_OVER", " FLEW_OVER", " BELONGED_TO\n\n Explanation:\n The entities represent the", " PHOTOGRAPHED", " FLEW_OVER", " FLEW_FOR\n\n Explanation:\n The text states that '", " BELONGS_TO", " LOCATION_OF\n\n Entities: \n [{'head': ['", " NEAR.", " NEAR_LOCATION", " FLEW_OVER", " FLEW_OVER", " FLEW_OVER", " FLIES_OVER", " ASSOC_WITH", " NEAR_LOCATION", " FLEW_OVER", " HOSTED_BY", " PHOTOGRAPHED", " FLIES_OVER", " LOCATED_NEAR", " FLY_FROM", " NEAR_LOCATION", " NEAR.", " FLIES_OVER", " NEAR. This text describes the two entities as being near each other, with the first entity", " NEAR_LOCATION", " LOCATION_AT_TIME", " LOCATION_AT_TIME", " HOSTED_BY", " FLIES_OVER", " FLEW_OVER", " BACKGROUND_OF\n\n Explanation:\n The text describes the", " PHOTOGRAPHED", " NEAR\n\n Explanation:\n The text describes the Spitfire plane", " FLIES_OVER", " LOCATED_NEAR. This is because the text states that the 'shots' were", " FLIGHT_FROM", " NEAR_LOCATION", " NEAR.", " NEAR\n\n Explanation:\n The text describes the Spitfire plane", " NEAR\n\n Explanation:\n The text describes the Spitfire plane", " FLEW_OVER", " FLIES_OVER", " FLIES_FOR\n\n Explanation:\n The text describes that Wing", " NEAR_LOCATION", " FLEW_OVER", " FLEW_FOR\n\n Explanation:\n The text states that \"", " PHOTOGRAPHED", " PILOT", " FLEW_FOR\n\n Explanation:\n The text states that the", " FLEW_FROM", " FLEW_OVER", " FLEW_OVER", " FLIES_OVER", " PILOT_OF", " FLEW_OVER", " FLEW_FOR\n\n Explanation:\n The text states that '", " PHOTOGRAPHED", " PILOT", " FLEW_FOR\n\n Explanation:\n The text states that the", " FLEW_FROM", " FLEW_OVER", " FLEW_OVER", " FLIES_OVER", " PILOTS_OF\n\n Explanation:\n The text states that '", " FLEW_OVER", " OWNED_BY", " PHOTOGRAPHED", " PILOT", " OWNED_BY", " BASED_IN", " BELONGS_TO", " FLEW_OVER", " FLIES\n\n Explanation:\n The text states that \"Wing", " PILOTS_FROM\n\n Explanation:\n The text states that '", " BELONGS_TO", " FLEW_ON\n\n Explanation:\n The text states that '", " FLEW_ON\n\n Explanation:\n The text states that \"", " MEMBER_OF", " PILOT", " PILOTS.", " PILOTED_BY.", " PILOT_OF\n\n Explanation:\n The text states that \"wing", " PILOT_OF", " PILOT_OF", " COMMANDS", " BELONGS_TO", " FLIES_FROM\n\n Explanation:\n The text states that 'wing", " FLEW_OVER", " FLEW_OVER", " PILOT\n\n Explanation:\n The text states that \"wing commander Hart", " PILOT\n\n Explanation:\n The text states that 'wing commander Hart", " PILOTS.", " PILOTS_OF\n\n Explanation:\n The text states that \"", " PILOTS_FROM\n\n Entities: \n [{'head': ['", " PILOT.", " FLEW_ON\n\n Explanation:\n The text states that '", " FLEW_ON\n\n Explanation:\n The text states that \"", " PART_OF", " PILOT_OF", " PILOTS_OF\n\n Explanation:\n The text states that \"", " PILOT_OF\n\n Explanation:\n The context states that \"wing", " PHOTOGRAPHER", " PILOTED_BY", " FLEW_BY\n\n Explanation:\n The text states that \"", " MEMBER_OF", " BASED_IN", " BASED_IN", " FLIES_OVER", " BASED_IN", " PILOTED_BY", " PILOTED_BY", " PILOTS_OF\n\n Explanation:\n The text states that '", " FLIES\n\n Explanation:\n The text states that \"wing commander", " BASED_IN", " PILOT_OF", " LOCATION_AT\n\n Explanation:\n The text states that the", " LOCATION_AT.\n\n Explanation:\n The text states that", " MILITARY_BASED_IN", " FLEW_OVER", " FLEW_OVER", " BELONGED_TO\n\n Explanation:\n The entities represent the", " PHOTOGRAPHED", " FLEW_OVER", " FLEW_OVER", " BELONGS_TO", " BELONGS_TO", " LOCATION_NEARBY", " FLY_OVER", " NEAR.", " FLEW_OVER", " FLEW_OVER", " FLEW_OVER", " FLEW_OVER", " PILOTS_FROM\n\n Explanation:\n The text states that '", " FLEW_OVER", " OWNED_BY", " PHOTOGRAPHED", " PILOT", " FLEW_FOR\n\n Explanation:\n The text states that \"", " FLEW_FROM", " FLIES_FROM\n\n Explanation:\n The text states that \"wing", " FLEW_OVER", " FLIES\n\n Explanation:\n The text states that \"Wing", " PILOTS_OF\n\n Explanation:\n The text states that '", " FLIES_FROM\n\n Explanation:\n The text states that \"wing" ]
[ [ "4", "7", "DATE", "Friday 05/06/1964 and" ], [ "7", "10", "DATE", "Saturday 06/06/1964," ], [ "10", "15", "ORG", "the Royal Canadian Air Force" ], [ "16", "19", "PRODUCT", "a Supermarine Spitfire" ], [ "21", "23", "PRODUCT", "Sopwith Snipe" ], [ "24", "27", "EVENT", "World War 1" ], [ "31", "32", "ORG", "NFB" ], [ "42", "43", "PRODUCT", "Spitfire" ], [ "48", "50", "PERSON", "Gerry Billing" ], [ "51", "52", "ORG", "RCAF" ], [ "53", "54", "GPE", "Trenton" ], [ "55", "56", "GPE", "Ontario" ], [ "59", "61", "FAC", "Rockcliffe Airport" ], [ "62", "63", "GPE", "Ottawa" ], [ "71", "72", "PRODUCT", "Spitfire" ], [ "79", "80", "PRODUCT", "Spitfire" ], [ "89", "91", "PRODUCT", "Sopwith Snipe" ], [ "96", "97", "PERSON", "Hartmann" ], [ "98", "100", "ORG", "RCAF Uplands" ], [ "101", "102", "GPE", "Ontario" ], [ "112", "113", "PRODUCT", "Snipe" ] ]
604
606
[ "ASPEN COMMISSION ™\nTHE CENTER FOR PHILOSOPHY POLITICS SPIRITUALITY AND SCIENCE ™\n\"Far better is it to dare mighty things, to win glorious triumphs, even though checkered by failure... than to rank with those poor spirits who neither enjoy nor suffer much, because they live in a gray twilight that knows not victory nor defeat.\n-- Teddy Roosevelt, 26th President of the United States of America\nAspen Commission ™ All Rights Reserved 1996-2024\nIBS INTERNATIONAL BOARD OF STANDARDS\nAspen Commission Academy of International Relations, Philosphy Politics and Innovation - International Political Foregin Relations Public Policy Council. The Aspen Commission ™ is an Association Registered in Colorado and is also a listed as an Limited Company CO USA." ]
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mistralai/Mistral-7B-Instruct-v0.2
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605
607
[ "Published on August 3rd, 2016 | by Saurabh Pandey0\n5 Ways To Promote Your Restaurant On Social Media\nSocial media greatly increases awareness about your restaurant. Adding social media to your marketing mix can generate more engagement with your restaurant and get more customers in your door.\nWe’ve compiled 5 ways to promote your restaurant on social media:" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Published on August 3rd, 2016 | by Saurabh Pandey0\n5 Ways To Promote Your Restaurant On Social Media\nSocial media greatly increases awareness about your restaurant. Adding social media to your marketing mix can generate more engagement with your restaurant and get more customers in your door.\nWe’ve compiled 5 ways to promote your restaurant on social media:'] Entities: [{'head': ['2', '6', 'DATE', 'August 3rd, 2016'], 'tail': ['8', '10', 'PERSON', 'Saurabh Pandey0']}] Relation:
[ [ { "head": [ "2", "6", "DATE", "August 3rd, 2016" ], "tail": [ "8", "10", "PERSON", "Saurabh Pandey0" ] } ], [ { "head": [ "8", "10", "PERSON", "Saurabh Pandey0" ], "tail": [ "2", "6", "DATE", "August 3rd, 2016" ] } ], [ { "head": [ "8", "10", "PERSON", "Saurabh Pandey0" ], "tail": [ "11", "12", "CARDINAL", "5" ] } ], [ { "head": [ "8", "10", "PERSON", "Saurabh Pandey0" ], "tail": [ "56", "57", "CARDINAL", "5" ] } ], [ { "head": [ "11", "12", "CARDINAL", "5" ], "tail": [ "8", "10", "PERSON", "Saurabh Pandey0" ] } ], [ { "head": [ "56", "57", "CARDINAL", "5" ], "tail": [ "8", "10", "PERSON", "Saurabh Pandey0" ] } ] ]
[ " PUBLISHED_BY", " PUBLISHED_ON", " PUBLISHED_ON. The relation is between a person and a cardinal number", " PUBLISHED_ON", " AUTHOR_OF", " AUTHOR_OF" ]
[ [ "2", "6", "DATE", "August 3rd, 2016" ], [ "8", "10", "PERSON", "Saurabh Pandey0" ], [ "11", "12", "CARDINAL", "5" ], [ "56", "57", "CARDINAL", "5" ] ]
606
608
[ "John Heisman – Auburn University\nJohn Heisman John Heisman (1869-1936) is among the people credited with making college football an American passion, and the game’s most prestigious individual award is named after him. He coached at the Agricultural and Mechanical College of Alabama (now Auburn University) from 1895 until 1899.\nFor more information click here.\nBerkshire Hathaway HomeServices Preferred Real Estate, Best Auburn Realtors, Best Opelika Realtors, Relocate to Auburn, Move to Auburn, Homes for sale in Auburn, Homes for Sale near me, Houses for Sale Opelika, Luxury Homes for Sale Auburn" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['John Heisman – Auburn University\nJohn Heisman John Heisman (1869-1936) is among the people credited with making college football an American passion, and the game’s most prestigious individual award is named after him. He coached at the Agricultural and Mechanical College of Alabama (now Auburn University) from 1895 until 1899.\nFor more information click here.\nBerkshire Hathaway HomeServices Preferred Real Estate, Best Auburn Realtors, Best Opelika Realtors, Relocate to Auburn, Move to Auburn, Homes for sale in Auburn, Homes for Sale near me, Houses for Sale Opelika, Luxury Homes for Sale Auburn'] Entities: [{'head': ['0', '2', 'PERSON', 'John Heisman'], 'tail': ['3', '5', 'ORG', 'Auburn University']}] Relation:
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Heisman" ], "tail": [ "69", "72", "ORG", "Berkshire Hathaway HomeServices" ] } ], [ { "head": [ "0", "2", "PERSON", "John Heisman" ], "tail": [ "77", "78", "GPE", "Auburn" ] } ], [ { "head": [ "0", "2", "PERSON", "John Heisman" ], "tail": [ "81", "82", "GPE", "Opelika" ] } ], [ { "head": [ "0", "2", "PERSON", "John Heisman" ], "tail": [ "86", "87", "GPE", "Auburn" ] } ], [ { "head": [ "0", "2", "PERSON", "John Heisman" ], "tail": [ "90", "91", "GPE", "Auburn" ] } ], [ { "head": [ "0", "2", "PERSON", "John Heisman" ], "tail": [ "96", "97", "GPE", "Auburn" ] } ], [ { "head": [ "0", "2", "PERSON", "John Heisman" ], "tail": [ "107", "108", "GPE", "Opelika" ] } ], [ { "head": [ "0", "2", "PERSON", "John Heisman" ], "tail": [ "113", "114", "GPE", "Auburn" ] } ], [ { "head": [ "3", "5", "ORG", "Auburn University" ], "tail": [ "0", "2", "PERSON", "John Heisman" ] } ], [ { "head": [ "3", "5", "ORG", "Auburn University" ], "tail": [ "6", "8", "PERSON", "John Heisman" ] } ], [ { "head": [ "3", "5", "ORG", "Auburn University" ], "tail": [ "8", "10", "PERSON", "John Heisman" ] } ], [ { "head": [ "3", "5", "ORG", "Auburn University" ], "tail": [ "11", "14", "DATE", "1869-1936" ] } ], [ { "head": [ "3", "5", "ORG", "Auburn University" ], "tail": [ "25", "26", "NORP", "American" ] } ], [ { "head": [ "3", "5", "ORG", "Auburn University" ], "tail": [ "44", "51", "ORG", "the Agricultural and Mechanical College of Alabama" ] } ], [ { "head": [ "3", "5", "ORG", "Auburn University" ], "tail": [ "53", "55", "ORG", "Auburn University" ] } ], [ { "head": [ "3", "5", "ORG", "Auburn University" ], "tail": [ "57", "58", "DATE", "1895" ] } ], [ { "head": [ "3", "5", "ORG", "Auburn University" ], "tail": [ "59", "60", "DATE", "1899" ] } ], [ { "head": [ "3", "5", "ORG", "Auburn University" ], "tail": [ "69", "72", "ORG", "Berkshire Hathaway HomeServices" ] } ], [ { "head": [ "3", "5", "ORG", "Auburn University" ], "tail": [ "77", "78", "GPE", "Auburn" ] } ], [ { "head": [ "3", "5", "ORG", "Auburn University" ], "tail": [ "81", "82", "GPE", "Opelika" ] } ], [ { "head": [ "3", "5", "ORG", "Auburn University" ], "tail": [ "86", "87", "GPE", "Auburn" ] } ], [ { "head": [ "3", "5", "ORG", "Auburn University" ], "tail": [ "90", "91", "GPE", "Auburn" ] } ], [ { "head": [ "3", "5", "ORG", "Auburn University" ], "tail": [ "96", "97", "GPE", "Auburn" ] } ], [ { "head": [ "3", "5", "ORG", "Auburn University" ], "tail": [ "107", "108", "GPE", "Opelika" ] } ], [ { "head": [ "3", "5", "ORG", "Auburn University" ], "tail": [ "113", "114", "GPE", "Auburn" ] } ], [ { "head": [ "6", "8", "PERSON", "John Heisman" ], "tail": [ "0", "2", "PERSON", "John Heisman" ] } ], [ { "head": [ "6", "8", "PERSON", "John Heisman" ], "tail": [ "3", "5", "ORG", "Auburn University" ] } ], [ { "head": [ "6", "8", "PERSON", "John Heisman" ], "tail": [ "8", "10", "PERSON", "John Heisman" ] } ], [ { "head": [ "6", "8", "PERSON", "John Heisman" ], "tail": [ "11", "14", "DATE", "1869-1936" ] } ], [ { "head": [ "6", "8", "PERSON", "John Heisman" ], "tail": [ "25", "26", "NORP", "American" ] } ], [ { "head": [ "6", "8", "PERSON", "John Heisman" ], "tail": [ "44", "51", "ORG", "the Agricultural and Mechanical College of Alabama" ] } ], [ { "head": [ "6", "8", "PERSON", "John Heisman" ], "tail": [ "53", "55", "ORG", "Auburn University" ] } ], [ { "head": [ "6", "8", "PERSON", "John Heisman" ], "tail": [ "57", "58", "DATE", "1895" ] } ], [ { "head": [ "6", "8", "PERSON", "John Heisman" ], "tail": [ "59", "60", "DATE", "1899" ] } ], [ { "head": [ "6", "8", "PERSON", "John Heisman" ], "tail": [ "69", "72", "ORG", "Berkshire Hathaway HomeServices" ] } ], [ { "head": [ "6", "8", "PERSON", "John Heisman" ], "tail": [ "77", "78", "GPE", "Auburn" ] } ], [ { "head": [ "6", "8", "PERSON", "John Heisman" ], "tail": [ "81", "82", "GPE", "Opelika" ] } ], [ { "head": [ "6", "8", "PERSON", "John Heisman" ], "tail": [ "86", "87", "GPE", "Auburn" ] } ], [ { "head": [ "6", "8", "PERSON", "John Heisman" ], "tail": [ "90", "91", "GPE", "Auburn" ] } ], [ { "head": [ "6", "8", "PERSON", "John Heisman" ], "tail": [ "96", "97", "GPE", "Auburn" ] } ], [ { "head": [ "6", "8", "PERSON", "John Heisman" ], "tail": [ "107", "108", "GPE", "Opelika" ] } ], [ { "head": [ "6", "8", "PERSON", "John Heisman" ], "tail": [ "113", "114", "GPE", "Auburn" ] } ], [ { "head": [ "8", "10", "PERSON", "John Heisman" ], "tail": [ "0", "2", "PERSON", "John Heisman" ] } ], [ { "head": [ "8", "10", "PERSON", "John Heisman" ], "tail": [ "3", "5", "ORG", "Auburn University" ] } ], [ { "head": [ "8", "10", "PERSON", "John Heisman" ], "tail": [ "6", "8", "PERSON", "John Heisman" ] } ], [ { "head": [ "8", "10", "PERSON", "John Heisman" ], "tail": [ "11", "14", "DATE", "1869-1936" ] } ], [ { "head": [ "8", "10", "PERSON", "John Heisman" ], "tail": [ "25", "26", "NORP", "American" ] } ], [ { "head": [ "8", "10", "PERSON", "John Heisman" ], "tail": [ "44", "51", "ORG", "the Agricultural and Mechanical College of Alabama" ] } ], [ { "head": [ "8", "10", "PERSON", "John Heisman" ], "tail": [ "53", "55", "ORG", "Auburn University" ] } ], [ { "head": [ "8", "10", "PERSON", "John Heisman" ], "tail": [ "57", "58", "DATE", "1895" ] } ], [ { "head": [ "8", "10", "PERSON", "John Heisman" ], "tail": [ "59", "60", "DATE", "1899" ] } ], [ { "head": [ "8", "10", "PERSON", "John Heisman" ], "tail": [ "69", "72", "ORG", "Berkshire Hathaway HomeServices" ] } ], [ { "head": [ "8", "10", "PERSON", "John Heisman" ], "tail": [ "77", "78", "GPE", "Auburn" ] } ], [ { "head": [ "8", "10", "PERSON", "John Heisman" ], "tail": [ "81", "82", "GPE", "Opelika" ] } ], [ { "head": [ "8", "10", "PERSON", "John Heisman" ], "tail": [ "86", "87", "GPE", "Auburn" ] } ], [ { "head": [ "8", "10", "PERSON", "John Heisman" ], "tail": [ "90", "91", "GPE", "Auburn" ] } ], [ { "head": [ "8", "10", "PERSON", "John Heisman" ], "tail": [ "96", "97", "GPE", "Auburn" ] } ], [ { "head": [ "8", "10", "PERSON", "John Heisman" ], "tail": [ "107", "108", "GPE", "Opelika" ] } ], [ { "head": [ "8", "10", "PERSON", "John Heisman" ], "tail": [ "113", "114", "GPE", "Auburn" ] } ], [ { "head": [ "11", "14", "DATE", "1869-1936" ], "tail": [ "0", "2", "PERSON", "John Heisman" ] } ], [ { "head": [ "11", "14", "DATE", "1869-1936" ], "tail": [ "3", "5", "ORG", "Auburn University" ] } ], [ { "head": [ "11", "14", "DATE", "1869-1936" ], "tail": [ "6", "8", "PERSON", "John Heisman" ] } ], [ { "head": [ "11", "14", "DATE", "1869-1936" ], "tail": [ "8", "10", "PERSON", "John Heisman" ] } ], [ { "head": [ "11", "14", "DATE", "1869-1936" ], "tail": [ "44", "51", "ORG", "the Agricultural and Mechanical College of Alabama" ] } ], [ { "head": [ "11", "14", "DATE", "1869-1936" ], "tail": [ "53", "55", "ORG", "Auburn University" ] } ], [ { "head": [ "11", "14", "DATE", "1869-1936" ], "tail": [ "69", "72", "ORG", "Berkshire Hathaway HomeServices" ] } ], [ { "head": [ "11", "14", "DATE", "1869-1936" ], "tail": [ "77", "78", "GPE", "Auburn" ] } ], [ { "head": [ "11", 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"tail": [ "90", "91", "GPE", "Auburn" ] } ], [ { "head": [ "96", "97", "GPE", "Auburn" ], "tail": [ "107", "108", "GPE", "Opelika" ] } ], [ { "head": [ "96", "97", "GPE", "Auburn" ], "tail": [ "113", "114", "GPE", "Auburn" ] } ], [ { "head": [ "107", "108", "GPE", "Opelika" ], "tail": [ "0", "2", "PERSON", "John Heisman" ] } ], [ { "head": [ "107", "108", "GPE", "Opelika" ], "tail": [ "3", "5", "ORG", "Auburn University" ] } ], [ { "head": [ "107", "108", "GPE", "Opelika" ], "tail": [ "6", "8", "PERSON", "John Heisman" ] } ], [ { "head": [ "107", "108", "GPE", "Opelika" ], "tail": [ "8", "10", "PERSON", "John Heisman" ] } ], [ { "head": [ "107", "108", "GPE", "Opelika" ], "tail": [ "11", "14", "DATE", "1869-1936" ] } ], [ { "head": [ "107", "108", "GPE", "Opelika" ], "tail": [ "25", "26", "NORP", "American" ] } ], [ { "head": [ "107", "108", "GPE", "Opelika" ], "tail": [ "44", "51", "ORG", "the Agricultural and Mechanical College of Alabama" ] } ], [ { "head": [ "107", "108", "GPE", "Opelika" ], "tail": [ "53", "55", "ORG", "Auburn University" ] } ], [ { "head": [ "107", "108", "GPE", "Opelika" ], "tail": [ "57", "58", "DATE", "1895" ] } ], [ { "head": [ "107", "108", "GPE", "Opelika" ], "tail": [ "59", "60", "DATE", "1899" ] } ], [ { "head": [ "107", "108", "GPE", "Opelika" ], "tail": [ "69", "72", "ORG", "Berkshire Hathaway HomeServices" ] } ], [ { "head": [ "107", "108", "GPE", "Opelika" ], "tail": [ "77", "78", "GPE", "Auburn" ] } ], [ { "head": [ "107", "108", "GPE", "Opelika" ], "tail": [ "81", "82", "GPE", "Opelika" ] } ], [ { "head": [ "107", "108", "GPE", "Opelika" ], "tail": [ "86", "87", "GPE", "Auburn" ] } ], [ { "head": [ "107", "108", "GPE", "Opelika" ], "tail": [ "90", "91", "GPE", "Auburn" ] } ], [ { "head": [ "107", "108", "GPE", "Opelika" ], "tail": [ "96", "97", "GPE", "Auburn" ] } ], [ { "head": [ "107", "108", "GPE", "Opelika" ], "tail": [ "113", "114", "GPE", "Auburn" ] } ], [ { "head": [ "113", "114", "GPE", "Auburn" ], "tail": [ "0", "2", "PERSON", "John Heisman" ] } ], [ { "head": [ "113", "114", "GPE", "Auburn" ], "tail": [ "3", "5", "ORG", "Auburn University" ] } ], [ { "head": [ "113", "114", "GPE", "Auburn" ], "tail": [ "6", "8", "PERSON", "John Heisman" ] } ], [ { "head": [ "113", "114", "GPE", "Auburn" ], "tail": [ "8", "10", "PERSON", "John Heisman" ] } ], [ { "head": [ "113", "114", "GPE", "Auburn" ], "tail": [ "11", "14", "DATE", "1869-1936" ] } ], [ { "head": [ "113", "114", "GPE", "Auburn" ], "tail": [ "25", "26", "NORP", "American" ] } ], [ { "head": [ "113", "114", "GPE", "Auburn" ], "tail": [ "44", "51", "ORG", "the Agricultural and Mechanical College of Alabama" ] } ], [ { "head": [ "113", "114", "GPE", "Auburn" ], "tail": [ "53", "55", "ORG", "Auburn University" ] } ], [ { "head": [ "113", "114", "GPE", "Auburn" ], "tail": [ "57", "58", "DATE", "1895" ] } ], [ { "head": [ "113", "114", "GPE", "Auburn" ], "tail": [ "59", "60", "DATE", "1899" ] } ], [ { "head": [ "113", "114", "GPE", "Auburn" ], "tail": [ "69", "72", "ORG", "Berkshire Hathaway HomeServices" ] } ], [ { "head": [ "113", "114", "GPE", "Auburn" ], "tail": [ "77", "78", "GPE", "Auburn" ] } ], [ { "head": [ "113", "114", "GPE", "Auburn" ], "tail": [ "81", "82", "GPE", "Opelika" ] } ], [ { "head": [ "113", "114", "GPE", "Auburn" ], "tail": [ "86", "87", "GPE", "Auburn" ] } ], [ { "head": [ "113", "114", "GPE", "Auburn" ], "tail": [ "90", "91", "GPE", "Auburn" ] } ], [ { "head": [ "113", "114", "GPE", "Auburn" ], "tail": [ "96", "97", "GPE", "Auburn" ] } ], [ { "head": [ "113", "114", "GPE", "Auburn" ], "tail": [ "107", "108", "GPE", "Opelika" ] } ] ]
[ " COACHED_AT", " SELF_REFERENCE", " SELF_REFERENCE", " BIRTH_YEARS", " 'PERSON_IS_CREDITED_WITH'", " COACHED_AT", " COACHED_AT", " COACHED_AT", " COACHED_UNTIL", " ASSOCIATED_WITH", " COACHED_AT", " MOVE_TO", " COACHED_AT", " COACHED_AT", " COACHED_AT", " MOVE_TO", " COACHED_AT", " COACHED_AT", " COACHED_AT", " COACHED_AT", " NO_RELATION", " UNIVERSITY_OF_AFFILIATION", " COACHED_AT", " SAME_ORGANIZATION", " COACHED_AT", " COACHED_AT", " REAL_ESTATE_AGENCY_OF\n\n Explanation:\n", " LOCATED_IN", " NEAR_CITY", " LOCATION.IN.ORGANIZATION", " LOCATION.IN.ORGANIZATION", " LOCATION", " NEAR_CITY", " LOCATED_IN", " SELF_REFERENCE", " COACHED_AT", " SELF_REFERENCE", " BIRTH_DATE", " 'PERSON_IS_CREDITED_WITH'", " COACHED_AT", " COACHED_AT", " COACHED_AT", " COACHED_UNTIL", " ASSOCIATED_WITH", " COACHED_AT", " LIVES_NEARBY", " COACHED_AT", " COACHED_AT", " COACHED_AT", " MOVE_TO", " COACHED_AT", " SELF_REFERENCE", " COACHED_AT", " SELF_REFERENCE", " BIRTH_DATE", " IS_CREDITED_WITH.", " COACHED_AT", " COACHED_AT", " COACHED_AT", " LEFT_OF\n\n Explanation:\n The text states that John He", " ASSOCIATED_WITH", " COACHED_AT", " LIVES_NEARBY", " COACHED_AT", " COACHED_AT", " COACHED_AT", " MOVE_TO", " COACHED_AT", " BIRTH_YEARS", " COACHED_AT", " BIRTH_YEARS", " BIRTH_YEARS", " COACHED_AT", " COACHED_AT", " FORMER_EMPLOYER", " COACHED_AT", " NO_RELATION", " COACHED_AT", " COACHED_AT", " COACHED_AT", " MOVED_TO", " COACHED_AT", " COCREATED_WITH", " 'AMONG'\n or\n 'CREDITED_WITH'\n ", " COCREATED_WITH\n or\n KNOWN_FOR\n or\n ", " COCREATED_WITH", " COACHED_AT", " 'AMONG'\n or\n 'CREDITED_WITH'\n ", " ORG_FOUNDED_BY_PERSON", " COUNTRY_OF_ORIGIN_OR_BIRTHPLACE_OF", " NEAR_CITY", " COUNTRY_OF_ORIGIN_OR_BIRTHPLACE_OF", " COUNTRY_OF_ORIGIN_OR_BIRTHPLACE_OF", " COUNTRY_OF_ORIGIN_OR_BIRTHPLACE_OF", " NEAR_CITY", " COUNTRY_OF_ORIGIN_OR_BIRTHPLACE_OF", " COACHED_AT", " COACHED_AT", " COACHED_AT", " COACHED_AT", " COACHED_AT", " COACHED_FOR\n Or, if no relation exists:\n NO_REL", " COACHED_AT", " COACHED_AT", " COACHED_UNTIL", " REAL_ESTATE_AGENCY_OF\n\n Explanation:\n", " COACHED_AT", " NEAR_CITY", " COACHED_AT", " COACHED_AT", " COACHED_AT", " NEAR_CITY", " COACHED_AT", " COACHED_AT", " UNIVERSITY_OF\n or\n ORGANIZATION_OF\n", " COACHED_AT", " COACHED_AT", " EDUCATED_AT", " UNIVERSITY_OF_ORIGIN_OF_PERSON\n OR:", " COACHED_AT", " COACHED_AT", " COACHED_UNTIL", " REAL_ESTATE_AGENCY_OF\n\n Explanation:\n", " LOCATION.IN.ORGANIZATION", " NEAR_CITY", " LOCATION.LOCATED_AT", " LOCATION.LOCATED_AT", " LOCATION.LOCATED_AT", " NEAR_CITY", " LOCATION.IN.ORGANIZATION", " COACHED_AT", " COACHED_AT", " COACHED_AT", " COACHED_AT", " COACHED_AT", " COACHED_AT", " CO_OWNED_BY", " COACHED_AT", " NEAR_CITY", " COACHED_AT", " COACHED_AT", " COACHED_AT", " COLOCATED_IN", " COACHED_AT", " COACHED_AT", " COACHED_AT", " COACHED_AT", " COACHED_AT", " COACHED_AT", " COACHED_AT", " LATER_WORKED_FOR", " LEFT_OF\n\n Explanation:\n The text mentions that John", " LIVES_NEARBY", " LEFT_OF\n\n Explanation:\n The text mentions that John", " LEFT_OF\n\n Explanation:\n The text mentions that John", " LEFT_OF\n\n Explanation:\n The text mentions that John", " MOVED_TO", " LEFT_OF\n\n Explanation:\n The text states that John He", " FORMED_BY", " REAL_ESTATE_AGENCY_OF\n\n Explanation:\n", " CO_FOUNDED", " CO_FOUNDED", " NO_RELATION", " ASSOCIATED_WITH", " 'ORG_NAME_OF'", " REAL_ESTATE_AGENCY_OF\n\n Explanation:\n", " EMPLOYED_BY", " 'PREVIOUSLY_WORKED_FOR'", " BUSINESS_LOCATED_IN.", " BUSINESS_LOCATED_IN.", " PROVIDES_SERVICES_TO", " BUSINESS_LOCATED_IN", " BUSINESS_LOCATED_IN.", " BUSINESS_LOCATED_IN", " BUSINESS_LOCATED_IN", " COACHED_AT", " LOCATION", " COACHED_AT", " COACHED_AT", " NO_RELATION", " LOCATION_OF\n or\n ORG_FOUNDED_IN\n", " COACHED_AT", " LOCATION", " COACHED_AT", " END_DATE", " LOCATION_OF\n\n Explanation:\n The text states that John", " NEAR_CITY", " LOCATION_IN_LOCATION", " LOCATION_IN_LOCATION", " LOCATION_IN. LOCATION_IN is used when the head entity is a", " NEAR_CITY", " LOCATION", " LIVES_IN", " NEAR_CITY", " LIVES_IN", " LIVES_IN", " NO_RELATION", " NEAR_CITY", " LOCATED_IN", " NEAR_CITY", " HOMETOWN_BEFORE", " NEAR_CITY", " SERVICES_LOCATION", " NEAR_CITY", " NEAR_CITY", " NEAR_CITY", " NEAR_CITY", " BEST_REAL_ESTATE_IN_CITY", " NEAR_CITY", " COACHED_AT", " LOCATION", " COACHED_AT", " COACHED_AT", " BORN_IN.", " Auburn IS_A American_passion.", " COACHED_AT", " LOCATION", " COACHED_AT", " COACHED_UNTIL", " LOCATION_OF\n\n Explanation:\n The text mentions that", " LOCATION_IN. LOCATION_IN is used when the head entity is a", " NEAR_CITY", " LOCATION_IN. LOCATION_IN is used when the head entity is a", " LOCATION_IN. LOCATION_IN is used when the head entity is a", " NEAR_CITY", " LOCATION", " COACHED_AT", " LOCATION.OF.ORGANIZATION", " COACHED_AT", " COACHED_AT", " NO_RELATION", " LOCATED_IN", " COACHED_AT", " LOCATION", " COACHED_AT", " END_DATE", " LOCATION_OF\n or\n HEAD_OF\n or\n ", " LOCATION_IN_LOCATION", " NEAR_CITY", " LOCATION_IN_LOCATION", " LOCATED_IN", " NEAR_CITY", " LOCATED_IN", " COACHED_AT", " LOCATION.OF.ORGANIZATION", " COACHED_AT", " COACHED_AT", " NO_RELATION.", " LOCATION_OF\n or\n NO_RELATION (if 'American'", " COACHED_AT", " LOCATION.OF.ORGANIZATION", " COACHED_AT", " END_DATE", " LOCATION_OF\n or\n HEAD_OF\n or\n ", " LOCATION_IN. LOCATION_IN is used when the head entity is a", " NEAR_CITY", " LOCATION_IN_LOCATION", " LOCATION_IN_LOCATION", " NEAR_CITY", " LOCATION_IN. LOCATION_IN is used when the head entity is a", " LIVES_IN", " NEAR_CITY", " LIVES_IN", " LIVED_IN", " NO_RELATION", " NEAR_CITY", " LOCATED_IN", " NEAR_CITY", " HOMETOWN_BEFORE", " NEAR_LOCATION", " SERVICES_PROVIDED_BY", " NEAR_CITY", " NEAR_CITY", " NEAR_CITY", " NEAR_CITY", " NEAR_CITY", " NEAR_CITY", " COACHED_AT", " LOCATION", " COACHED_AT", " COACHED_AT", " COACHED_AT", " LOCATION_OF\n or\n ORG_FOUNDED_IN\n", " COACHED_AT", " LOCATION", " COACHED_AT", " COACHED_AT", " REAL_ESTATE_AGENCY_LOCATED_IN_LOCATION", " LOCATION", " NEAR_CITY", " LOCATED_IN", " LOCATION", " LOCATED_IN", " NEAR_CITY" ]
[ [ "0", "2", "PERSON", "John Heisman" ], [ "3", "5", "ORG", "Auburn University" ], [ "6", "8", "PERSON", "John Heisman" ], [ "8", "10", "PERSON", "John Heisman" ], [ "11", "14", "DATE", "1869-1936" ], [ "25", "26", "NORP", "American" ], [ "44", "51", "ORG", "the Agricultural and Mechanical College of Alabama" ], [ "53", "55", "ORG", "Auburn University" ], [ "57", "58", "DATE", "1895" ], [ "59", "60", "DATE", "1899" ], [ "69", "72", "ORG", "Berkshire Hathaway HomeServices" ], [ "77", "78", "GPE", "Auburn" ], [ "81", "82", "GPE", "Opelika" ], [ "86", "87", "GPE", "Auburn" ], [ "90", "91", "GPE", "Auburn" ], [ "96", "97", "GPE", "Auburn" ], [ "107", "108", "GPE", "Opelika" ], [ "113", "114", "GPE", "Auburn" ] ]
607
609
[ "A host of additional features include the upgrade 22-inch turbine alloy wheels in silver, 6 seats with easy access to the rear and free supercharging capability and the required charging cables.\nDon’t be fooled by the lack of buttons, controls or knobs in the interior for the 17-inch central screen is a technological haven which can be used by anyone. A full touchscreen including drag and swipe functions, access to features including the enhanced autopilot system, very popular toybox facility and even arcade games (who remembers Asteroids?).\nElon Musk wasn’t all business when building the Tesla Model X, what is life without a little fun along the way?\nFor full details of this vehicle, please click the button to the right or if you wish to speak to one of our sales consultants, please don’t hesitate in contacting us on 02920 761919 or firstname.lastname@example.org." ]
[ [ "A", "host", "of", "additional", "features", "include", "the", "upgrade", "22", "-", "inch", "turbine", "alloy", "wheels", "in", "silver", ",", "6", "seats", "with", "easy", "access", "to", "the", "rear", "and", "free", "supercharging", "capability", "and", "the", "required", "charging", "cables", ".", "\n", "Do", "n’t", "be", "fooled", "by", "the", "lack", "of", "buttons", ",", "controls", "or", "knobs", "in", "the", "interior", "for", "the", "17", "-", "inch", "central", "screen", "is", "a", "technological", "haven", "which", "can", "be", "used", "by", "anyone", ".", "A", "full", "touchscreen", "including", "drag", "and", "swipe", "functions", ",", "access", "to", "features", "including", "the", "enhanced", "autopilot", "system", ",", "very", "popular", "toybox", "facility", "and", "even", "arcade", "games", "(", "who", "remembers", "Asteroids", "?", ")", ".", "\n", "Elon", "Musk", "was", "n’t", "all", "business", "when", "building", "the", "Tesla", "Model", "X", ",", "what", "is", "life", "without", "a", "little", "fun", "along", "the", "way", "?", "\n", "For", "full", "details", "of", "this", "vehicle", ",", "please", "click", "the", "button", "to", "the", "right", "or", "if", "you", "wish", "to", "speak", "to", "one", "of", "our", "sales", "consultants", ",", "please", "do", "n’t", "hesitate", "in", "contacting", "us", "on", "02920", "761919", "or", "firstname.lastname@example.org", "." ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['A host of additional features include the upgrade 22-inch turbine alloy wheels in silver, 6 seats with easy access to the rear and free supercharging capability and the required charging cables.\nDon’t be fooled by the lack of buttons, controls or knobs in the interior for the 17-inch central screen is a technological haven which can be used by anyone. A full touchscreen including drag and swipe functions, access to features including the enhanced autopilot system, very popular toybox facility and even arcade games (who remembers Asteroids?).\nElon Musk wasn’t all business when building the Tesla Model X, what is life without a little fun along the way?\nFor full details of this vehicle, please click the button to the right or if you wish to speak to one of our sales consultants, please don’t hesitate in contacting us on 02920 761919 or firstname.lastname@example.org.'] Entities: [{'head': ['8', '11', 'QUANTITY', '22-inch'], 'tail': ['104', '106', 'PERSON', 'Elon Musk']}] Relation:
[ [ { "head": [ "8", "11", "QUANTITY", "22-inch" ], "tail": [ "104", "106", "PERSON", "Elon Musk" ] } ], [ { "head": [ "8", "11", "QUANTITY", "22-inch" ], "tail": [ "113", "114", "ORG", "Tesla" ] } ], [ { "head": [ "17", "18", "CARDINAL", "6" ], "tail": [ "104", "106", "PERSON", "Elon Musk" ] } ], [ { "head": [ "17", "18", "CARDINAL", "6" ], "tail": [ "113", "114", "ORG", "Tesla" ] } ], [ { "head": [ "54", "57", "QUANTITY", "17-inch" ], "tail": [ "104", "106", "PERSON", "Elon Musk" ] } ], [ { "head": [ "54", "57", "QUANTITY", "17-inch" ], "tail": [ "113", "114", "ORG", "Tesla" ] } ], [ { "head": [ "99", "100", "WORK_OF_ART", "Asteroids" ], "tail": [ "104", "106", "PERSON", "Elon Musk" ] } ], [ { "head": [ "99", "100", "WORK_OF_ART", "Asteroids" ], "tail": [ "113", "114", "ORG", "Tesla" ] } ], [ { "head": [ "104", "106", "PERSON", "Elon Musk" ], "tail": [ "8", "11", "QUANTITY", "22-inch" ] } ], [ { "head": [ "104", "106", "PERSON", "Elon Musk" ], "tail": [ "17", "18", "CARDINAL", "6" ] } ], [ { "head": [ "104", "106", "PERSON", "Elon Musk" ], "tail": [ "54", "57", "QUANTITY", "17-inch" ] } ], [ { "head": [ "104", "106", "PERSON", "Elon Musk" ], "tail": [ "99", "100", "WORK_OF_ART", "Asteroids" ] } ], [ { "head": [ "104", "106", "PERSON", "Elon Musk" ], "tail": [ "113", "114", "ORG", "Tesla" ] } ], [ { "head": [ "104", "106", "PERSON", "Elon Musk" ], "tail": [ "114", "116", "PRODUCT", "Model X" ] } ], [ { "head": [ "113", "114", "ORG", "Tesla" ], "tail": [ "8", "11", "QUANTITY", "22-inch" ] } ], [ { "head": [ "113", "114", "ORG", "Tesla" ], "tail": [ "17", "18", "CARDINAL", "6" ] } ], [ { "head": [ "113", "114", "ORG", "Tesla" ], "tail": [ "54", "57", "QUANTITY", "17-inch" ] } ], [ { "head": [ "113", "114", "ORG", "Tesla" ], "tail": [ "99", "100", "WORK_OF_ART", "Asteroids" ] } ], [ { "head": [ "113", "114", "ORG", "Tesla" ], "tail": [ "104", "106", "PERSON", "Elon Musk" ] } ], [ { "head": [ "113", "114", "ORG", "Tesla" ], "tail": [ "114", "116", "PRODUCT", "Model X" ] } ], [ { "head": [ "114", "116", "PRODUCT", "Model X" ], "tail": [ "104", "106", "PERSON", "Elon Musk" ] } ], [ { "head": [ "114", "116", "PRODUCT", "Model X" ], "tail": [ "113", "114", "ORG", "Tesla" ] } ] ]
[ " BUILT_BY", " UPGRADE\n\n Explanation:\n The text mentions that the", " BUILT_BY", " MODEL_OF", " BUILT_BY", " FEATURE_OF", " CREATED_BY", " GAME_OF\n OR:\n PRODUCT_OF\n OR:\n", " BUILT_WITH\n\n Explanation:\n Elon Musk built", " BUILT_BY", " BUILT_WITH\n\n Explanation:\n Elon Musk built", " CREATED_WORK_OF_ART_BY_PERSON", " BUILT_BY", " BUILT_BY", " FEATURE_OF", " SEATS_OF\n\n Or, if the entities were reversed:\n\n", " FEATURE_OF", " NO_RELATION", " BUILT_BY", " MANUFACTURER_PRODUCT", " BUILT_BY", " MANUFACTURER" ]
[ [ "8", "11", "QUANTITY", "22-inch" ], [ "17", "18", "CARDINAL", "6" ], [ "54", "57", "QUANTITY", "17-inch" ], [ "99", "100", "WORK_OF_ART", "Asteroids" ], [ "104", "106", "PERSON", "Elon Musk" ], [ "113", "114", "ORG", "Tesla" ], [ "114", "116", "PRODUCT", "Model X" ] ]
608
610
[ "The children at Del Norte Children’s Home are already seeing the impact of a new garden on campus.\nBlogBe inspired by stories of reckless faith from around the world. These stories encourage us to keep going, to never give up, until every child is known and loved.\nDaniel serves as the Director of Back2Back Nigeria, but before joining staff, he was working for the state government in a stable, yet unfulfilling job. He was passionate about serving children and longed for an outlet to give back to his community.\nRecently, the children from Destiny Children’s Home in Jos, Nigeria visited a large innovative farm in the area. The farm is run by an organization committed to helping local farmers with agricultural training.\nEducation opens doors of opportunity to people around the world. However, in developing countries like Nigeria the positive effects of education are often mitigated due to cultural factors." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['The children at Del Norte Children’s Home are already seeing the impact of a new garden on campus.\nBlogBe inspired by stories of reckless faith from around the world. These stories encourage us to keep going, to never give up, until every child is known and loved.\nDaniel serves as the Director of Back2Back Nigeria, but before joining staff, he was working for the state government in a stable, yet unfulfilling job. He was passionate about serving children and longed for an outlet to give back to his community.\nRecently, the children from Destiny Children’s Home in Jos, Nigeria visited a large innovative farm in the area. The farm is run by an organization committed to helping local farmers with agricultural training.\nEducation opens doors of opportunity to people around the world. However, in developing countries like Nigeria the positive effects of education are often mitigated due to cultural factors.'] Entities: [{'head': ['3', '8', 'ORG', 'Del Norte Children’s Home'], 'tail': ['55', '56', 'PERSON', 'Daniel']}] Relation:
[ [ { "head": [ "3", "8", "ORG", "Del Norte Children’s Home" ], "tail": [ "55", "56", "PERSON", "Daniel" ] } ], [ { "head": [ "3", "8", "ORG", "Del Norte Children’s Home" ], "tail": [ "61", "63", "ORG", "Back2Back Nigeria" ] } ], [ { "head": [ "3", "8", "ORG", "Del Norte Children’s Home" ], "tail": [ "108", "112", "ORG", "Destiny Children’s Home" ] } ], [ { "head": [ "3", "8", "ORG", "Del Norte Children’s Home" ], "tail": [ "113", "114", "GPE", "Jos" ] } ], [ { "head": [ "3", "8", "ORG", "Del Norte Children’s Home" ], "tail": [ "115", "116", "GPE", "Nigeria" ] } ], [ { "head": [ "3", "8", "ORG", "Del Norte Children’s Home" ], "tail": [ "159", "160", "GPE", "Nigeria" ] } ], [ { "head": [ "55", "56", "PERSON", "Daniel" ], "tail": [ "3", "8", "ORG", "Del Norte Children’s Home" ] } ], [ { "head": [ "55", "56", "PERSON", "Daniel" ], "tail": [ "61", "63", "ORG", "Back2Back Nigeria" ] } ], [ { "head": [ "55", "56", "PERSON", "Daniel" ], "tail": [ "108", "112", "ORG", "Destiny Children’s Home" ] } ], [ { "head": [ "55", "56", "PERSON", "Daniel" ], "tail": [ "113", "114", "GPE", "Jos" ] } ], [ { "head": [ "55", "56", "PERSON", "Daniel" ], "tail": [ "115", "116", "GPE", "Nigeria" ] } ], [ { "head": [ "55", "56", "PERSON", "Daniel" ], "tail": [ "159", "160", "GPE", "Nigeria" ] } ], [ { "head": [ "61", "63", "ORG", "Back2Back Nigeria" ], "tail": [ "3", "8", "ORG", "Del Norte Children’s Home" ] } ], [ { "head": [ "61", "63", "ORG", "Back2Back Nigeria" ], "tail": [ "55", "56", "PERSON", "Daniel" ] } ], [ { "head": [ "61", "63", "ORG", "Back2Back Nigeria" ], "tail": [ "108", "112", "ORG", "Destiny Children’s Home" ] } ], [ { "head": [ "61", "63", "ORG", "Back2Back Nigeria" ], "tail": [ "113", "114", "GPE", "Jos" ] } ], [ { "head": [ "61", "63", "ORG", "Back2Back Nigeria" ], "tail": [ "115", "116", "GPE", "Nigeria" ] } ], [ { "head": [ "61", "63", "ORG", "Back2Back Nigeria" ], "tail": [ "159", "160", "GPE", "Nigeria" ] } ], [ { "head": [ "108", "112", "ORG", "Destiny Children’s Home" ], "tail": [ "3", "8", "ORG", "Del Norte Children’s Home" ] } ], [ { "head": [ "108", "112", "ORG", "Destiny Children’s Home" ], "tail": [ "55", "56", "PERSON", "Daniel" ] } ], [ { "head": [ "108", "112", "ORG", "Destiny Children’s Home" ], "tail": [ "61", "63", "ORG", "Back2Back Nigeria" ] } ], [ { "head": [ "108", "112", "ORG", "Destiny Children’s Home" ], "tail": [ "113", "114", "GPE", "Jos" ] } ], [ { "head": [ "108", "112", "ORG", "Destiny Children’s Home" ], "tail": [ "115", "116", "GPE", "Nigeria" ] } ], [ { "head": [ "108", "112", "ORG", "Destiny Children’s Home" ], "tail": [ "159", "160", "GPE", "Nigeria" ] } ], [ { "head": [ "113", "114", "GPE", "Jos" ], "tail": [ "3", "8", "ORG", "Del Norte Children’s Home" ] } ], [ { "head": [ "113", "114", "GPE", "Jos" ], "tail": [ "55", "56", "PERSON", "Daniel" ] } ], [ { "head": [ "113", "114", "GPE", "Jos" ], "tail": [ "61", "63", "ORG", "Back2Back Nigeria" ] } ], [ { "head": [ "113", "114", "GPE", "Jos" ], "tail": [ "108", "112", "ORG", "Destiny Children’s Home" ] } ], [ { "head": [ "113", "114", "GPE", "Jos" ], "tail": [ "115", "116", "GPE", "Nigeria" ] } ], [ { "head": [ "113", "114", "GPE", "Jos" ], "tail": [ "159", "160", "GPE", "Nigeria" ] } ], [ { "head": [ "115", "116", "GPE", "Nigeria" ], "tail": [ "3", "8", "ORG", "Del Norte Children’s Home" ] } ], [ { "head": [ "115", "116", "GPE", "Nigeria" ], "tail": [ "55", "56", "PERSON", "Daniel" ] } ], [ { "head": [ "115", "116", "GPE", "Nigeria" ], "tail": [ "61", "63", "ORG", "Back2Back Nigeria" ] } ], [ { "head": [ "115", "116", "GPE", "Nigeria" ], "tail": [ "108", "112", "ORG", "Destiny Children’s Home" ] } ], [ { "head": [ "115", "116", "GPE", "Nigeria" ], "tail": [ "113", "114", "GPE", "Jos" ] } ], [ { "head": [ "115", "116", "GPE", "Nigeria" ], "tail": [ "159", "160", "GPE", "Nigeria" ] } ], [ { "head": [ "159", "160", "GPE", "Nigeria" ], "tail": [ "3", "8", "ORG", "Del Norte Children’s Home" ] } ], [ { "head": [ "159", "160", "GPE", "Nigeria" ], "tail": [ "55", "56", "PERSON", "Daniel" ] } ], [ { "head": [ "159", "160", "GPE", "Nigeria" ], "tail": [ "61", "63", "ORG", "Back2Back Nigeria" ] } ], [ { "head": [ "159", "160", "GPE", "Nigeria" ], "tail": [ "108", "112", "ORG", "Destiny Children’s Home" ] } ], [ { "head": [ "159", "160", "GPE", "Nigeria" ], "tail": [ "113", "114", "GPE", "Jos" ] } ], [ { "head": [ "159", "160", "GPE", "Nigeria" ], "tail": [ "115", "116", "GPE", "Nigeria" ] } ] ]
[ " DIRECTOR", " ORG_PART_OF", " VISITED_BY", " VISITED_IN.", " LOCATION_IN.", " LOCATION_IN.", " DIRECTOR", " DIRECTOR", " DIRECTOR_OF", " WORKS_IN.", " DIRECTOR_OF\n\n Explanation:\n Daniel is the director of", " DIRECTOR_OF\n\n Explanation:\n Daniel is the director of", " ORG_ASSOCIATED_WITH", " DIRECTOR", " VISITED_BY", " LOCATION_OF\n\n Explanation:\n The text mentions that", " ORG_IN_GPE", " ORG_IN_GPE", " VISITED_BY", " VISITED_BY", " VISITED_BY", " VISITED_IN.", " LOCATION.IN.ORGANIZATION", " LOCATED_IN", " VISITED_BY", " VISITED_BY", " LOCATION_OF\n\n Explanation:\n The text mentions that", " VISITED_BY", " LOCATION_IN\n\n Explanation:\n The text mentions that", " LOCATION_IN\n\n Explanation:\n The text mentions that", " LOCATION.\n\n Entities: \n [{'head': ['3", " DIRECTOR", " DIRECTOR", " VISITED_BY", " LOCATION_IN.", " COUNTRY_COUNTRY", " LOCATION.\n\n Explanation:\n The text mentions that the", " DIRECTOR", " DIRECTOR", " VISITED_BY", " LOCATION_IN.", " COUNTRY_COUNTRY" ]
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609
611
[ "On 31 January 2020 the United Kingdom left the European Union, losing vote and voice. It was a legal departure. Until the end of 2020 the UK will be treated as a member in economic and financial aspects. The critical date is not 31 January, but 31 December 2020. This is when Brexit will be felt in the world of money and products, states Rudolf Adam, advisor to Berlin Global Advisors." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['On 31 January 2020 the United Kingdom left the European Union, losing vote and voice. It was a legal departure. Until the end of 2020 the UK will be treated as a member in economic and financial aspects. The critical date is not 31 January, but 31 December 2020. This is when Brexit will be felt in the world of money and products, states Rudolf Adam, advisor to Berlin Global Advisors.'] Entities: [{'head': ['1', '4', 'DATE', '31 January 2020'], 'tail': ['4', '7', 'GPE', 'the United Kingdom']}] Relation:
[ [ { "head": [ "1", "4", "DATE", "31 January 2020" ], "tail": [ "4", "7", "GPE", "the United Kingdom" ] } ], [ { "head": [ "1", "4", "DATE", "31 January 2020" ], "tail": [ "8", "11", "ORG", "the European Union" ] } ], [ { "head": [ "1", "4", "DATE", "31 January 2020" ], "tail": [ "29", "30", "GPE", "UK" ] } ], [ { "head": [ "1", "4", "DATE", "31 January 2020" ], "tail": [ "71", "73", "PERSON", "Rudolf Adam" ] } ], [ { "head": [ "1", "4", "DATE", "31 January 2020" ], "tail": [ "76", "79", "ORG", "Berlin Global Advisors" ] } ], [ { "head": [ "4", "7", "GPE", "the United Kingdom" ], "tail": [ "1", "4", "DATE", "31 January 2020" ] } ], [ { "head": [ "4", "7", "GPE", "the United Kingdom" ], "tail": [ "8", "11", "ORG", "the European Union" ] } ], [ { "head": [ "4", "7", "GPE", "the United Kingdom" ], "tail": [ "24", "28", "DATE", "the end of 2020" ] } ], [ { "head": [ "4", "7", "GPE", "the United Kingdom" ], "tail": [ "29", "30", "GPE", "UK" ] } ], [ { "head": [ "4", "7", "GPE", "the United Kingdom" ], "tail": [ "47", "49", "DATE", "31 January" ] } ], [ { "head": [ "4", "7", "GPE", "the United Kingdom" ], "tail": [ "51", "54", "DATE", "31 December 2020" ] } ], [ { "head": [ "4", "7", "GPE", "the United Kingdom" ], "tail": [ "71", "73", "PERSON", "Rudolf Adam" ] } ], [ { "head": [ "4", "7", "GPE", "the United Kingdom" ], "tail": [ "76", "79", "ORG", "Berlin Global Advisors" ] } ], [ { "head": [ "8", "11", "ORG", "the European Union" ], "tail": [ "1", "4", "DATE", "31 January 2020" ] } ], [ { "head": [ "8", "11", "ORG", "the European Union" ], "tail": [ "4", "7", "GPE", "the United Kingdom" ] } ], [ { "head": [ "8", "11", "ORG", "the European Union" ], "tail": [ "24", "28", "DATE", "the end of 2020" ] } ], [ { "head": [ "8", "11", "ORG", "the European Union" ], "tail": [ "29", "30", "GPE", "UK" ] } ], [ { "head": [ "8", "11", "ORG", "the European Union" ], "tail": [ "47", "49", "DATE", "31 January" ] } ], [ { "head": [ "8", "11", "ORG", "the European Union" ], "tail": [ "51", "54", "DATE", "31 December 2020" ] } ], [ { "head": [ "8", "11", "ORG", "the European Union" ], "tail": [ "71", "73", "PERSON", "Rudolf Adam" ] } ], [ { "head": [ "8", "11", "ORG", "the European Union" ], "tail": [ "76", "79", "ORG", "Berlin Global Advisors" ] } ], [ { "head": [ "24", "28", "DATE", "the end of 2020" ], "tail": [ "4", "7", "GPE", "the United Kingdom" ] } ], [ { "head": [ "24", "28", "DATE", "the end of 2020" ], "tail": [ "8", "11", "ORG", "the European Union" ] } ], [ { "head": [ "24", "28", "DATE", "the end of 2020" ], "tail": [ "29", "30", "GPE", "UK" ] } ], [ { "head": [ "24", "28", "DATE", "the end of 2020" ], "tail": [ "71", "73", "PERSON", "Rudolf Adam" ] } ], [ { "head": [ "24", "28", "DATE", "the end of 2020" ], "tail": [ "76", "79", "ORG", "Berlin Global Advisors" ] } ], [ { "head": [ "29", "30", "GPE", "UK" ], "tail": [ "1", "4", "DATE", "31 January 2020" ] } ], [ { "head": [ "29", "30", "GPE", "UK" ], "tail": [ "4", "7", "GPE", "the United Kingdom" ] } ], [ { "head": [ "29", "30", "GPE", "UK" ], "tail": [ "8", "11", "ORG", "the European Union" ] } ], [ { "head": [ "29", "30", "GPE", "UK" ], "tail": [ "24", "28", "DATE", "the end of 2020" ] } ], [ { "head": [ "29", "30", "GPE", "UK" ], "tail": [ "47", "49", "DATE", "31 January" ] } ], [ { "head": [ "29", "30", "GPE", "UK" ], "tail": [ "51", "54", "DATE", "31 December 2020" ] } ], [ { "head": [ "29", "30", "GPE", "UK" ], "tail": [ "71", "73", "PERSON", "Rudolf Adam" ] } ], [ { "head": [ "29", "30", "GPE", "UK" ], "tail": [ "76", "79", "ORG", "Berlin Global Advisors" ] } ], [ { "head": [ "47", "49", "DATE", "31 January" ], "tail": [ "4", "7", "GPE", "the United Kingdom" ] } ], [ { "head": [ "47", "49", "DATE", "31 January" ], "tail": [ "8", "11", "ORG", "the European Union" ] } ], [ { "head": [ "47", "49", "DATE", "31 January" ], "tail": [ "29", "30", "GPE", "UK" ] } ], [ { "head": [ "47", "49", "DATE", "31 January" ], "tail": [ "71", "73", "PERSON", "Rudolf Adam" ] } ], [ { "head": [ "47", "49", "DATE", "31 January" ], "tail": [ "76", "79", "ORG", "Berlin Global Advisors" ] } ], [ { "head": [ "51", "54", "DATE", "31 December 2020" ], "tail": [ "4", "7", "GPE", "the United Kingdom" ] } ], [ { "head": [ "51", "54", "DATE", "31 December 2020" ], "tail": [ "8", "11", "ORG", "the European Union" ] } ], [ { "head": [ "51", "54", "DATE", "31 December 2020" ], "tail": [ "29", "30", "GPE", "UK" ] } ], [ { "head": [ "51", "54", "DATE", "31 December 2020" ], "tail": [ "71", "73", "PERSON", "Rudolf Adam" ] } ], [ { "head": [ "51", "54", "DATE", "31 December 2020" ], "tail": [ "76", "79", "ORG", "Berlin Global Advisors" ] } ], [ { "head": [ "71", "73", "PERSON", "Rudolf Adam" ], "tail": [ "1", "4", "DATE", "31 January 2020" ] } ], [ { "head": [ "71", "73", "PERSON", "Rudolf Adam" ], "tail": [ "4", "7", "GPE", "the United Kingdom" ] } ], [ { "head": [ "71", "73", "PERSON", "Rudolf Adam" ], "tail": [ "8", "11", "ORG", "the European Union" ] } ], [ { "head": [ "71", "73", "PERSON", "Rudolf Adam" ], "tail": [ "24", "28", "DATE", "the end of 2020" ] } ], [ { "head": [ "71", "73", "PERSON", "Rudolf Adam" ], "tail": [ "29", "30", "GPE", "UK" ] } ], [ { "head": [ "71", "73", "PERSON", "Rudolf Adam" ], "tail": [ "47", "49", "DATE", "31 January" ] } ], [ { "head": [ "71", "73", "PERSON", "Rudolf Adam" ], "tail": [ "51", "54", "DATE", "31 December 2020" ] } ], [ { "head": [ "71", "73", "PERSON", "Rudolf Adam" ], "tail": [ "76", "79", "ORG", "Berlin Global Advisors" ] } ], [ { "head": [ "76", "79", "ORG", "Berlin Global Advisors" ], "tail": [ "1", "4", "DATE", "31 January 2020" ] } ], [ { "head": [ "76", "79", "ORG", "Berlin Global Advisors" ], "tail": [ "4", "7", "GPE", "the United Kingdom" ] } ], [ { "head": [ "76", "79", "ORG", "Berlin Global Advisors" ], "tail": [ "8", "11", "ORG", "the European Union" ] } ], [ { "head": [ "76", "79", "ORG", "Berlin Global Advisors" ], "tail": [ "24", "28", "DATE", "the end of 2020" ] } ], [ { "head": [ "76", "79", "ORG", "Berlin Global Advisors" ], "tail": [ "29", "30", "GPE", "UK" ] } ], [ { "head": [ "76", "79", "ORG", "Berlin Global Advisors" ], "tail": [ "47", "49", "DATE", "31 January" ] } ], [ { "head": [ "76", "79", "ORG", "Berlin Global Advisors" ], "tail": [ "51", "54", "DATE", "31 December 2020" ] } ], [ { "head": [ "76", "79", "ORG", "Berlin Global Advisors" ], "tail": [ "71", "73", "PERSON", "Rudolf Adam" ] } ] ]
[ " LEFT_THE_UNION", " LEFT_THE_UNION", " LEFT_ON_DATE", " SPEAKS_FOR", " ADVISOR", " LEFT_ON_DATE", " LEFT_MEMBER_OF", " LEAVES_DATE", " IDENTICAL.", " LEFT_ON. This is the standard relation label for a legal departure from an organization.", " END_DATE", " ADVISOR", " ADVISOR", " LEFT_MEMBERSHIP_ON_DATE", " MEMBER_OF", " MEMBER_OF\n OR:\n BELONGS_TO\n OR", " MEMBER_OF", " LEFT_MEMBERSHIP_ON_DATE", " END_DATE", " ADVISOR", " ADVISOR", " TREATED_AS", " MEMBER_OF\n Or, if you prefer:\n Org_European", " TREATED_AS", " SPEAKS_FOR", " ADVISOR", " LEFT_ON\n\n Entities: \n [{'head': ['UK", " NO_RELATION. The text does not provide enough context to determine a relation between the two", " MEMBER_OF", " END_DATE_OF_MEMBERSHIP", " LEFT_ON\n\n Entities: \n [{'head': ['4", " LATER_THAN", " ADVISOR", " ADVISOR", " LEFT_ON_DATE", " LEFT_MEMBERSHIP", " LEFT_ON_DATE", " ADVISOR", " ADVISOR", " ECONOMIC_MEMBERSHIP_ENDS_ON", " MEMBER_OF\n or\n BELONGS_TO\n or\n", " END_OF_PERIOD", " SPEAKS_FOR", " ADVISOR", " SPEAKS_ON\n\n Explanation:\n The text states that \"", " ADVISOR_OF", " ADVISOR_OF", " STATES_DATE", " ADVISOR_OF", " SPEAKS_ON.", " END_DATE", " ADVISOR_OF", " ADVISOR_OF", " ADVISOR_OF", " ADVISOR_OF", " ADVISOR_OF\n OR ADVISING_ON\n OR PROVIDES_", " ADVISOR_OF", " SPEAKS_ON. This is because the advisor (head) is speaking about the", " ADVISOR_OF\n ORGANIZATION_HAS_DATE\n or", " ADVISOR" ]
[ [ "1", "4", "DATE", "31 January 2020" ], [ "4", "7", "GPE", "the United Kingdom" ], [ "8", "11", "ORG", "the European Union" ], [ "24", "28", "DATE", "the end of 2020" ], [ "29", "30", "GPE", "UK" ], [ "47", "49", "DATE", "31 January" ], [ "51", "54", "DATE", "31 December 2020" ], [ "71", "73", "PERSON", "Rudolf Adam" ], [ "76", "79", "ORG", "Berlin Global Advisors" ] ]
610
612
[ "We may be easy, but we’ve got standards. Programming The “Native” vs. “Stylable” Tug of War In his astute post “‘Native experience’ vs styling select boxes”, Bruce Lawson correctly identified a common tension in the web world: wanting better native controls vs. wanting to throw away what the browser does. Here are my thoughts. Process Beyond Responsive Workshops this May I am such a huge fan of running public workshops… especially über-affordable ones like I am leading this May. Potpourri Responsive Typography I think Responsive Typography is such an invaluable book, I offered to write the Foreword and Jason Pamental (and O’Reilly) have been kind enough to let me reprint it here." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['We may be easy, but we’ve got standards. Programming The “Native” vs. “Stylable” Tug of War In his astute post “‘Native experience’ vs styling select boxes”, Bruce Lawson correctly identified a common tension in the web world: wanting better native controls vs. wanting to throw away what the browser does. Here are my thoughts. Process Beyond Responsive Workshops this May I am such a huge fan of running public workshops… especially über-affordable ones like I am leading this May. Potpourri Responsive Typography I think Responsive Typography is such an invaluable book, I offered to write the Foreword and Jason Pamental (and O’Reilly) have been kind enough to let me reprint it here.'] Entities: [{'head': ['38', '40', 'PERSON', 'Bruce Lawson'], 'tail': ['73', '75', 'DATE', 'this May']}] Relation:
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611
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[ "If you’re attending one of the three performances this weekend of Britney Spears, then you need to read these rules for your chance to win!\nCouncil Oak Steaks & Seafood is Seminole Hard Rock’s fine dining experience for 100% USDA prime dry-aged stockyard beef at both our Hollywood and the Tampa location. While the restaurants are essentially the same, our very own Chef Carl Murphy and Tampa’s Chef Omar Torres gathered last night to collaborate on a realigned menu for both locations. The Blue Crab Cocktail was first on the list! This dish has jumbo crab" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['If you’re attending one of the three performances this weekend of Britney Spears, then you need to read these rules for your chance to win!\nCouncil Oak Steaks & Seafood is Seminole Hard Rock’s fine dining experience for 100% USDA prime dry-aged stockyard beef at both our Hollywood and the Tampa location. While the restaurants are essentially the same, our very own Chef Carl Murphy and Tampa’s Chef Omar Torres gathered last night to collaborate on a realigned menu for both locations. The Blue Crab Cocktail was first on the list! This dish has jumbo crab'] Entities: [{'head': ['4', '5', 'CARDINAL', 'one'], 'tail': ['12', '14', 'PERSON', 'Britney Spears']}] Relation:
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] } ], [ { "head": [ "99", "100", "ORDINAL", "first" ], "tail": [ "73", "75", "PERSON", "Carl Murphy" ] } ], [ { "head": [ "99", "100", "ORDINAL", "first" ], "tail": [ "76", "77", "GPE", "Tampa" ] } ], [ { "head": [ "99", "100", "ORDINAL", "first" ], "tail": [ "79", "81", "PERSON", "Omar Torres" ] } ] ]
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This is the relation between the entity \"Council Oak Ste", " PERFORMS_AT\n\n Explanation:\n The text mentions that", " PERFORMS_AT\n\n Explanation:\n The text states that \"", " IF_ATTENDING", " PART_OF", " SPECIALIZES_IN", " PROVIDES_MATERIAL\n\n Explanation:\n The text mentions", " LOCATION.\n\n Entities: \n [{'head': ['2", " LOCATION.OF.HEAD_AT.TAIL", " COLLABORATOR", " LOCATION.OF.HEAD_AT.TAIL", " COLLABORATOR", " COLLABORATED_ON.", " COLLOCATION", " HAS_PERFORMANCE\n\n Entities: \n [{'head':", " HAS_PERFORMANCE.\n\n Entities: \n [{'head", " PERFORMANCE_AT\n\n Explanation:\n The text mentions that", " PERFORMS_AT\n\n Explanation:\n The text states that \"", " FACILITY_OF\n\n Explanation:\n The text mentions that", " PROVIDES_QUALITY\n\n Entities: \n [{'head':", " PROVIDES_MATERIAL\n\n Explanation:\n The text mentions", " LOCATION_IN.\n\n Entities: \n [{'head':", " LOCATION.OF.LOCATIONS.ORGANIZATIONS.ORG", " COLLABORATOR", " LOCATION.\n\n Entities: \n [{'head': ['C", " COLLABORATOR", " COLLOCATION", " FACILITY_OF\n\n Explanation:\n The text states that \"", " IF_ATTENDING", " PROVIDES_QUALITY\n\n Explanation:\n The text states that", " PROVIDES_QUALITY\n\n Explanation:\n The text states that", " PROVIDES_QUALITY\n\n Explanation:\n The text states that", " LOCATION_OF\n\n Entities: \n [{'head': ['", " LOCATION_OF\n\n Explanation:\n The text mentions that", " CHEF_OF\n\n Explanation:\n The text mentions that", " LOCATION_OF\n\n Explanation:\n The text mentions that", " COLLABORATOR", " PROVIDES_QUALITY_TO\n\n Explanation:\n The text", " PROVIDES_QUANTITY\n\n Explanation:\n The text mentions", " PERFORMANCE_AT\n\n Explanation:\n The text mentions that", " IF_ATTENDING. This is a custom relation for the context. It means that the", " PROVIDES_PRODUCT\n\n Explanation:\n The text mentions that", " PROVIDES_MATERIAL\n\n Explanation:\n The text mentions", " PROVIDES_QUALITY\n\n Explanation:\n The text mentions", " LOCATION_OF\n\n Entities: \n [{'head': ['", " LOCATION_OF\n\n Explanation:\n The text mentions that", " CHEF_OF\n\n Explanation:\n The text mentions that", " LOCATION_OF\n\n Explanation:\n The text mentions that", " COLLABORATOR", " COLLABORATED_ON\n\n Explanation:\n The entities represent the", " PROVIDES_FROM\n\n Explanation:\n The text states that \"C", " LOCATION_OF\n\n Entities: \n [{'head': ['", " PERFORMANCE_LOCATION", " PERFORMANCE_AT\n\n Entities: \n [{'head': ['", " IF_ATTENDING. This is the standard relation label for the \"if X then Y", " LOCATION_OF", " LOCATION_OF\n\n Entities: \n [{'head': ['", " PROVIDES_QUALITY_FOR\n\n Explanation:\n The text", " PROVIDES_MATERIAL_FOR\n\n Explanation:\n The text", " LOCATION_NEARBY", " COLLABORATOR", " LOCATION_NEARBY", " COLLABORATED_WITH", " PREVIOUSLY_OCCURRED_AT", " LOCATION_FIRST\n\n Entities: \n [{'head':", " LOCATION_OF\n\n Explanation:\n The text mentions that", " LOCATION_NEARBY\n\n Explanation:\n The text ment", " PERFORMANCE_AT\n\n Entities: \n [{'head': ['", " IF_ATTENDING. This is the standard relation label for the \"if X, then", " LOCATION_OF", " LOCATION_OF", " LOCATION_PERCENT\n\n Entities: \n [{'head", " LOCATION_OF\n\n Explanation:\n The text mentions that", " LOCATION_NEARBY", " COLLABORATOR", " SAME_LOCATION", " COLLABORATOR", " COLLOCATION", " LOCATION_FIRST_FOR\n\n Explanation:\n The text", " COLLABORATED_ON.", " ATTENDED\n\n Entities: \n [{'head': ['C", " COLLABORATED_ON\n\n Explanation:\n The text states that", " NO_RELATION", " CHEF_OF", " CHEF_OF\n\n Entities: \n [{'head': ['", " PROVIDES_QUALITY_TO\n\n Explanation:\n The text", " CHEF_OF\n\n Explanation:\n The text states that Che", " CHEF_OF\n\n Explanation:\n The text states that Che", " COLLABORATED_WITH", " COLLABORATED_WITH", " COLLABORATOR", " COLLABORATED_ON.", " COLLABORATED_ON.", " LOCATION_OF\n\n Entities: \n [{'head': ['", " LOCATION_NEARBY\n\n Explanation:\n The text ment", " PERIODIC_EVENT_LOCATION", " IF_ATTENDING", " LOCATION_OF", " LOCATION_OF\n\n Entities: \n [{'head': ['", " NO_RELATION", " LOCATION_OF\n\n Explanation:\n The text mentions that", " LOCATION_NEARBY", " LOCATION_IN_LOCATION", " COLLABORATED_WITH", " COLLABORATOR", " PREVIOUSLY_OCCURRED_AT", " LOCATION_FIRST_FOR\n\n Explanation:\n The text", " COLLABORATED_ON\n\n Entities: \n [{'head':", " GATHERED_WITH\n\n Entities: \n [{'head':", " COLLABORATED_ON\n\n Explanation:\n The text states that", " COLLABORATOR", " CHEF_OF\n\n Explanation:\n The text mentions that", " CHEF_OF\n\n Entities: \n [{'head': ['", " CHEF_OF\n\n Entities: \n [{'head': ['", " CHEF_OF\n\n Explanation:\n The text mentions that", " CHEF_OF\n\n Entities: \n [{'head': ['", " CHEF_OF\n\n Explanation:\n The text mentions that", " COLLABORATOR", " CHEF_OF\n\n Explanation:\n The text mentions that", " COLLABORATED_ON\n\n Explanation:\n The entities represent '", " COLLABORATED_ON.", " IF_ATTENDING", " COLLOCATION", " COLLOCATION", " COLLABORATED_WITH\n\n Explanation:\n The text states that", " COLLOCATION", " COLLABORATED_WITH", " COLLABORATED_ON.", " COLLABORATED_WITH", " COLLABORATED_WITH", " IF_ATTENDING. This is the standard label for the relation between an event and an", " FIRST_OF\n\n Explanation:\n The text states that \"", " PERFORMANCE_OF\n\n Entities: \n [{'head': ['", " PRD_OF\n\n Explanation:\n The text mentions that '", " PERFORMANCE_AT\n\n Explanation:\n The text mentions that", " LIST_ITEM_OF\n\n Explanation:\n The text mentions", " COLLABORATED_ON.", " LIST_ITEM_OF\n\n Explanation:\n The text mentions", " COLLABORATED_WITH" ]
[ [ "4", "5", "CARDINAL", "one" ], [ "7", "8", "CARDINAL", "three" ], [ "9", "11", "DATE", "this weekend" ], [ "12", "14", "PERSON", "Britney Spears" ], [ "29", "34", "ORG", "Council Oak Steaks & Seafood" ], [ "35", "39", "ORG", "Seminole Hard Rock’s" ], [ "43", "45", "PERCENT", "100%" ], [ "45", "46", "ORG", "USDA" ], [ "55", "56", "GPE", "Hollywood" ], [ "58", "59", "GPE", "Tampa" ], [ "73", "75", "PERSON", "Carl Murphy" ], [ "76", "77", "GPE", "Tampa" ], [ "79", "81", "PERSON", "Omar Torres" ], [ "82", "84", "TIME", "last night" ], [ "99", "100", "ORDINAL", "first" ] ]
612
614
[ "A group of trucks enter Sanibel for the first time after Hurricane Ian. The U.S. Justice Department urges the Supreme Court to stay out of the Mar-a-lago documents dispute. Actress Dame Angela Lansbury found dead in her Los Angeles home. NASA’s first planetary defense mission is a success. The final movie of the Slasher sequels comes to theaters this Friday.\nThese stories and more on Newsbreak!" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['A group of trucks enter Sanibel for the first time after Hurricane Ian. The U.S. Justice Department urges the Supreme Court to stay out of the Mar-a-lago documents dispute. Actress Dame Angela Lansbury found dead in her Los Angeles home. NASA’s first planetary defense mission is a success. The final movie of the Slasher sequels comes to theaters this Friday.\nThese stories and more on Newsbreak!'] Entities: [{'head': ['5', '6', 'GPE', 'Sanibel'], 'tail': ['8', '9', 'ORDINAL', 'first']}] Relation:
[ [ { "head": [ "5", "6", "GPE", "Sanibel" ], "tail": [ "8", "9", "ORDINAL", "first" ] } ], [ { "head": [ "5", "6", "GPE", "Sanibel" ], "tail": [ "11", "13", "EVENT", "Hurricane Ian" ] } ], [ { "head": [ "5", "6", "GPE", "Sanibel" ], "tail": [ "14", "18", "ORG", "The U.S. Justice Department" ] } ], [ { "head": [ "5", "6", "GPE", "Sanibel" ], "tail": [ "19", "22", "ORG", "the Supreme Court" ] } ], [ { "head": [ "5", "6", "GPE", "Sanibel" ], "tail": [ "27", "32", "LOC", "Mar-a-lago" ] } ], [ { "head": [ "5", "6", "GPE", "Sanibel" ], "tail": [ "36", "39", "PERSON", "Dame Angela Lansbury" ] } ], [ { "head": [ "5", "6", "GPE", "Sanibel" ], "tail": [ "43", "45", "GPE", "Los Angeles" ] } ], [ { "head": [ "5", "6", "GPE", "Sanibel" ], "tail": [ "47", "48", "ORG", "NASA" ] } ], [ { "head": [ "5", "6", "GPE", "Sanibel" ], "tail": [ "49", "50", "ORDINAL", "first" ] } ], [ { "head": [ "5", "6", "GPE", "Sanibel" ], "tail": [ "62", "63", "WORK_OF_ART", "Slasher" ] } ], [ { "head": [ "5", "6", "GPE", "Sanibel" ], "tail": [ "67", "69", "DATE", "this Friday" ] } ], [ { "head": [ "5", "6", "GPE", "Sanibel" ], "tail": [ "76", "77", "ORG", "Newsbreak" ] } ], [ { "head": [ "8", "9", "ORDINAL", "first" ], "tail": [ "5", "6", "GPE", "Sanibel" ] } ], [ { "head": [ "8", "9", "ORDINAL", "first" ], "tail": [ "14", "18", "ORG", "The U.S. Justice Department" ] } ], [ { "head": [ "8", "9", "ORDINAL", "first" ], "tail": [ "19", "22", "ORG", "the Supreme Court" ] } ], [ { "head": [ "8", "9", "ORDINAL", "first" ], "tail": [ "27", "32", "LOC", "Mar-a-lago" ] } ], [ { "head": [ "8", "9", "ORDINAL", "first" ], "tail": [ "36", "39", "PERSON", "Dame Angela Lansbury" ] } ], [ { "head": [ "8", "9", "ORDINAL", "first" ], "tail": [ "43", "45", "GPE", "Los Angeles" ] } ], [ { "head": [ "8", "9", "ORDINAL", "first" ], "tail": [ "47", "48", "ORG", "NASA" ] } ], [ { "head": [ "8", "9", "ORDINAL", "first" ], "tail": [ "76", "77", "ORG", "Newsbreak" ] } ], [ { "head": [ "11", "13", "EVENT", "Hurricane Ian" ], "tail": [ "5", "6", "GPE", "Sanibel" ] } ], [ { "head": [ "11", "13", "EVENT", "Hurricane Ian" ], "tail": [ "14", "18", "ORG", "The U.S. Justice Department" ] } ], [ { "head": [ "11", "13", "EVENT", "Hurricane Ian" ], "tail": [ "19", "22", "ORG", "the Supreme Court" ] } ], [ { "head": [ "11", "13", "EVENT", "Hurricane Ian" ], "tail": [ "27", "32", "LOC", "Mar-a-lago" ] } ], [ { "head": [ "11", "13", "EVENT", "Hurricane Ian" ], "tail": [ "36", "39", "PERSON", "Dame Angela Lansbury" ] } ], [ { "head": [ "11", "13", "EVENT", "Hurricane Ian" ], "tail": [ "43", "45", "GPE", "Los Angeles" ] } ], [ { "head": [ "11", "13", "EVENT", "Hurricane Ian" ], "tail": [ "47", "48", "ORG", "NASA" ] } ], [ { "head": [ "11", "13", "EVENT", "Hurricane Ian" ], "tail": [ "76", "77", "ORG", "Newsbreak" ] } ], [ { "head": [ "14", "18", "ORG", "The U.S. Justice Department" ], "tail": [ "5", "6", "GPE", "Sanibel" ] } ], [ { "head": [ "14", "18", "ORG", "The U.S. Justice Department" ], "tail": [ "8", "9", "ORDINAL", "first" ] } ], [ { "head": [ "14", "18", "ORG", "The U.S. Justice Department" ], "tail": [ "11", "13", "EVENT", "Hurricane Ian" ] } ], [ { "head": [ "14", "18", "ORG", "The U.S. Justice Department" ], "tail": [ "19", "22", "ORG", "the Supreme Court" ] } ], [ { "head": [ "14", "18", "ORG", "The U.S. Justice Department" ], "tail": [ "27", "32", "LOC", "Mar-a-lago" ] } ], [ { "head": [ "14", "18", "ORG", "The U.S. Justice Department" ], "tail": [ "36", "39", "PERSON", "Dame Angela Lansbury" ] } ], [ { "head": [ "14", "18", "ORG", "The U.S. Justice Department" ], "tail": [ "43", "45", "GPE", "Los Angeles" ] } ], [ { "head": [ "14", "18", "ORG", "The U.S. Justice Department" ], "tail": [ "47", "48", "ORG", "NASA" ] } ], [ { "head": [ "14", "18", "ORG", "The U.S. Justice Department" ], "tail": [ "49", "50", "ORDINAL", "first" ] } ], [ { "head": [ "14", "18", "ORG", "The U.S. Justice Department" ], "tail": [ "62", "63", "WORK_OF_ART", "Slasher" ] } ], [ { "head": [ "14", "18", "ORG", "The U.S. Justice Department" ], "tail": [ "67", "69", "DATE", "this Friday" ] } ], [ { "head": [ "14", "18", "ORG", "The U.S. Justice Department" ], "tail": [ "76", "77", "ORG", "Newsbreak" ] } ], [ { "head": [ "19", "22", "ORG", "the Supreme Court" ], "tail": [ "5", "6", "GPE", "Sanibel" ] } ], [ { "head": [ "19", "22", "ORG", "the Supreme Court" ], "tail": [ "8", "9", "ORDINAL", "first" ] } ], [ { "head": [ "19", "22", "ORG", "the Supreme Court" ], "tail": [ "11", "13", "EVENT", "Hurricane Ian" ] } ], [ { "head": [ "19", "22", "ORG", "the Supreme Court" ], "tail": [ "14", "18", "ORG", "The U.S. Justice Department" ] } ], [ { "head": [ "19", "22", "ORG", "the Supreme Court" ], "tail": [ "27", "32", "LOC", "Mar-a-lago" ] } ], [ { "head": [ "19", "22", "ORG", "the Supreme Court" ], "tail": [ "36", "39", "PERSON", "Dame Angela Lansbury" ] } ], [ { "head": [ "19", "22", "ORG", "the Supreme Court" ], "tail": [ "43", "45", "GPE", "Los Angeles" ] } ], [ { "head": [ "19", "22", "ORG", "the Supreme Court" ], "tail": [ "47", "48", "ORG", "NASA" ] } ], [ { "head": [ "19", "22", "ORG", "the Supreme Court" ], "tail": [ "49", "50", "ORDINAL", "first" ] } ], [ { "head": [ "19", "22", "ORG", "the Supreme Court" ], "tail": [ "62", "63", "WORK_OF_ART", "Slasher" ] } ], [ { "head": [ "19", "22", "ORG", "the Supreme Court" ], "tail": [ "67", "69", "DATE", "this Friday" ] } ], [ { "head": [ "19", "22", "ORG", "the Supreme Court" ], "tail": [ "76", "77", "ORG", "Newsbreak" ] } ], [ { "head": [ "27", "32", "LOC", "Mar-a-lago" ], "tail": [ "5", "6", "GPE", "Sanibel" ] } ], [ { "head": [ "27", "32", "LOC", "Mar-a-lago" ], "tail": [ "8", "9", "ORDINAL", "first" ] } ], [ { "head": [ "27", "32", "LOC", "Mar-a-lago" ], "tail": [ "11", "13", "EVENT", "Hurricane Ian" ] } ], [ { "head": [ "27", "32", "LOC", "Mar-a-lago" ], "tail": [ "14", "18", "ORG", "The U.S. Justice Department" ] } ], [ { "head": [ "27", "32", "LOC", "Mar-a-lago" ], "tail": [ "19", "22", "ORG", "the Supreme Court" ] } ], [ { "head": [ "27", "32", "LOC", "Mar-a-lago" ], "tail": [ "36", "39", "PERSON", "Dame Angela Lansbury" ] } ], [ { "head": [ "27", "32", "LOC", "Mar-a-lago" ], "tail": [ "43", "45", "GPE", "Los Angeles" ] } ], [ { "head": [ "27", "32", "LOC", "Mar-a-lago" ], "tail": [ "47", "48", "ORG", "NASA" ] } ], [ { "head": [ "27", "32", "LOC", "Mar-a-lago" ], "tail": [ "49", "50", "ORDINAL", "first" ] } ], [ { "head": [ "27", "32", "LOC", "Mar-a-lago" ], "tail": [ "62", "63", "WORK_OF_ART", "Slasher" ] } ], [ { "head": [ "27", "32", "LOC", "Mar-a-lago" ], "tail": [ "67", "69", "DATE", "this Friday" ] } ], [ { "head": [ "27", "32", "LOC", "Mar-a-lago" ], "tail": [ "76", "77", "ORG", "Newsbreak" ] } ], [ { "head": [ "36", "39", "PERSON", "Dame Angela Lansbury" ], "tail": [ "5", "6", "GPE", "Sanibel" ] } ], [ { "head": [ "36", "39", "PERSON", "Dame Angela Lansbury" ], "tail": [ "8", "9", "ORDINAL", "first" ] } ], [ { "head": [ "36", "39", "PERSON", "Dame Angela Lansbury" ], "tail": [ "11", "13", "EVENT", "Hurricane Ian" ] } ], [ { "head": [ "36", "39", "PERSON", "Dame Angela Lansbury" ], "tail": [ "14", "18", "ORG", "The U.S. Justice Department" ] } ], [ { "head": [ "36", "39", "PERSON", "Dame Angela Lansbury" ], "tail": [ "19", "22", "ORG", "the Supreme Court" ] } ], [ { "head": [ "36", "39", "PERSON", "Dame Angela Lansbury" ], "tail": [ "27", "32", "LOC", "Mar-a-lago" ] } ], [ { "head": [ "36", "39", "PERSON", "Dame Angela Lansbury" ], "tail": [ "43", "45", "GPE", "Los Angeles" ] } ], [ { "head": [ "36", "39", "PERSON", "Dame Angela Lansbury" ], "tail": [ "47", "48", "ORG", "NASA" ] } ], [ { "head": [ "36", "39", "PERSON", "Dame Angela Lansbury" ], "tail": [ "49", "50", "ORDINAL", "first" ] } ], [ { "head": [ "36", "39", "PERSON", "Dame Angela Lansbury" ], "tail": [ "62", "63", "WORK_OF_ART", "Slasher" ] } ], [ { "head": [ "36", "39", "PERSON", "Dame Angela Lansbury" ], "tail": [ "67", "69", "DATE", "this Friday" ] } ], [ { "head": [ "36", "39", "PERSON", "Dame Angela Lansbury" ], "tail": [ "76", "77", "ORG", "Newsbreak" ] } ], [ { "head": [ "43", "45", "GPE", "Los Angeles" ], "tail": [ "5", "6", "GPE", "Sanibel" ] } ], [ { "head": [ "43", "45", "GPE", "Los Angeles" ], "tail": [ "8", "9", "ORDINAL", "first" ] } ], [ { "head": [ "43", "45", "GPE", "Los Angeles" ], "tail": [ "11", "13", "EVENT", "Hurricane Ian" ] } ], [ { "head": [ "43", "45", "GPE", "Los Angeles" ], "tail": [ "14", "18", "ORG", "The U.S. Justice Department" ] } ], [ { "head": [ "43", "45", "GPE", "Los Angeles" ], "tail": [ "19", "22", "ORG", "the Supreme Court" ] } ], [ { "head": [ "43", "45", "GPE", "Los Angeles" ], "tail": [ "27", "32", "LOC", "Mar-a-lago" ] } ], [ { "head": [ "43", "45", "GPE", "Los Angeles" ], "tail": [ "36", "39", "PERSON", "Dame Angela Lansbury" ] } ], [ { "head": [ "43", "45", "GPE", "Los Angeles" ], "tail": [ "47", "48", "ORG", "NASA" ] } ], [ { "head": [ "43", "45", "GPE", "Los Angeles" ], "tail": [ "49", "50", "ORDINAL", "first" ] } ], [ { "head": [ "43", "45", "GPE", "Los Angeles" ], "tail": [ "62", "63", "WORK_OF_ART", "Slasher" ] } ], [ { "head": [ "43", "45", "GPE", "Los Angeles" ], "tail": [ "67", "69", "DATE", "this Friday" ] } ], [ { "head": [ "43", "45", "GPE", "Los Angeles" ], "tail": [ "76", "77", "ORG", "Newsbreak" ] } ], [ { "head": [ "47", "48", "ORG", "NASA" ], "tail": [ "5", "6", "GPE", "Sanibel" ] } ], [ { "head": [ "47", "48", "ORG", "NASA" ], "tail": [ "8", "9", "ORDINAL", "first" ] } ], [ { "head": [ "47", "48", "ORG", "NASA" ], "tail": [ "11", "13", "EVENT", "Hurricane Ian" ] } ], [ { "head": [ "47", "48", "ORG", "NASA" ], "tail": [ "14", "18", "ORG", "The U.S. Justice Department" ] } ], [ { "head": [ "47", "48", "ORG", "NASA" ], "tail": [ "19", "22", "ORG", "the Supreme Court" ] } ], [ { "head": [ "47", "48", "ORG", "NASA" ], "tail": [ "27", "32", "LOC", "Mar-a-lago" ] } ], [ { "head": [ "47", "48", "ORG", "NASA" ], "tail": [ "36", "39", "PERSON", "Dame Angela Lansbury" ] } ], [ { "head": [ "47", "48", "ORG", "NASA" ], "tail": [ "43", "45", "GPE", "Los Angeles" ] } ], [ { "head": [ "47", "48", "ORG", "NASA" ], "tail": [ "49", "50", "ORDINAL", "first" ] } ], [ { "head": [ "47", "48", "ORG", "NASA" ], "tail": [ "62", "63", "WORK_OF_ART", "Slasher" ] } ], [ { "head": [ "47", "48", "ORG", "NASA" ], "tail": [ "67", "69", "DATE", "this Friday" ] } ], [ { "head": [ "47", "48", "ORG", "NASA" ], "tail": [ "76", "77", "ORG", "Newsbreak" ] } ], [ { "head": [ "49", "50", "ORDINAL", "first" ], "tail": [ "5", "6", "GPE", "Sanibel" ] } ], [ { "head": [ "49", "50", "ORDINAL", "first" ], "tail": [ "14", "18", "ORG", "The U.S. Justice Department" ] } ], [ { "head": [ "49", "50", "ORDINAL", "first" ], "tail": [ "19", "22", "ORG", "the Supreme Court" ] } ], [ { "head": [ "49", "50", "ORDINAL", "first" ], "tail": [ "27", "32", "LOC", "Mar-a-lago" ] } ], [ { "head": [ "49", "50", "ORDINAL", "first" ], "tail": [ "36", "39", "PERSON", "Dame Angela Lansbury" ] } ], [ { "head": [ "49", "50", "ORDINAL", "first" ], "tail": [ "43", "45", "GPE", "Los Angeles" ] } ], [ { "head": [ "49", "50", "ORDINAL", "first" ], "tail": [ "47", "48", "ORG", "NASA" ] } ], [ { "head": [ "49", "50", "ORDINAL", "first" ], "tail": [ "76", "77", "ORG", "Newsbreak" ] } ], [ { "head": [ "62", "63", "WORK_OF_ART", "Slasher" ], "tail": [ "5", "6", "GPE", "Sanibel" ] } ], [ { "head": [ "62", "63", "WORK_OF_ART", "Slasher" ], "tail": [ "14", "18", "ORG", "The U.S. Justice Department" ] } ], [ { "head": [ "62", "63", "WORK_OF_ART", "Slasher" ], "tail": [ "19", "22", "ORG", "the Supreme Court" ] } ], [ { "head": [ "62", "63", "WORK_OF_ART", "Slasher" ], "tail": [ "27", "32", "LOC", "Mar-a-lago" ] } ], [ { "head": [ "62", "63", "WORK_OF_ART", "Slasher" ], "tail": [ "36", "39", "PERSON", "Dame Angela Lansbury" ] } ], [ { "head": [ "62", "63", "WORK_OF_ART", "Slasher" ], "tail": [ "43", "45", "GPE", "Los Angeles" ] } ], [ { "head": [ "62", "63", "WORK_OF_ART", "Slasher" ], "tail": [ "47", "48", "ORG", "NASA" ] } ], [ { "head": [ "62", "63", "WORK_OF_ART", "Slasher" ], "tail": [ "76", "77", "ORG", "Newsbreak" ] } ], [ { "head": [ "67", "69", "DATE", "this Friday" ], "tail": [ "5", "6", "GPE", "Sanibel" ] } ], [ { "head": [ "67", "69", "DATE", "this Friday" ], "tail": [ "14", "18", "ORG", "The U.S. Justice Department" ] } ], [ { "head": [ "67", "69", "DATE", "this Friday" ], "tail": [ "19", "22", "ORG", "the Supreme Court" ] } ], [ { "head": [ "67", "69", "DATE", "this Friday" ], "tail": [ "27", "32", "LOC", "Mar-a-lago" ] } ], [ { "head": [ "67", "69", "DATE", "this Friday" ], "tail": [ "36", "39", "PERSON", "Dame Angela Lansbury" ] } ], [ { "head": [ "67", "69", "DATE", "this Friday" ], "tail": [ "43", "45", "GPE", "Los Angeles" ] } ], [ { "head": [ "67", "69", "DATE", "this Friday" ], "tail": [ "47", "48", "ORG", "NASA" ] } ], [ { "head": [ "67", "69", "DATE", "this Friday" ], "tail": [ "76", "77", "ORG", "Newsbreak" ] } ], [ { "head": [ "76", "77", "ORG", "Newsbreak" ], "tail": [ "5", "6", "GPE", "Sanibel" ] } ], [ { "head": [ "76", "77", "ORG", "Newsbreak" ], "tail": [ "8", "9", "ORDINAL", "first" ] } ], [ { "head": [ "76", "77", "ORG", "Newsbreak" ], "tail": [ "11", "13", "EVENT", "Hurricane Ian" ] } ], [ { "head": [ "76", "77", "ORG", "Newsbreak" ], "tail": [ "14", "18", "ORG", "The U.S. Justice Department" ] } ], [ { "head": [ "76", "77", "ORG", "Newsbreak" ], "tail": [ "19", "22", "ORG", "the Supreme Court" ] } ], [ { "head": [ "76", "77", "ORG", "Newsbreak" ], "tail": [ "27", "32", "LOC", "Mar-a-lago" ] } ], [ { "head": [ "76", "77", "ORG", "Newsbreak" ], "tail": [ "36", "39", "PERSON", "Dame Angela Lansbury" ] } ], [ { "head": [ "76", "77", "ORG", "Newsbreak" ], "tail": [ "43", "45", "GPE", "Los Angeles" ] } ], [ { "head": [ "76", "77", "ORG", "Newsbreak" ], "tail": [ "47", "48", "ORG", "NASA" ] } ], [ { "head": [ "76", "77", "ORG", "Newsbreak" ], "tail": [ "49", "50", "ORDINAL", "first" ] } ], [ { "head": [ "76", "77", "ORG", "Newsbreak" ], "tail": [ "62", "63", "WORK_OF_ART", "Slasher" ] } ], [ { "head": [ "76", "77", "ORG", "Newsbreak" ], "tail": [ "67", "69", "DATE", "this Friday" ] } ] ]
[ " ENTERED_FIRST", " ENTERED_IN. \n\n Explanation:\n The text states", " UPDATE: The context does not provide enough information to determine a relation between the entities.", " URGES", " DISPUTED_AT_LOCATION", " DIED_IN", " DIFFERENT_LOCATION", " The first planetary defense mission of NASA takes place in Sanibel.", " ENTERED_FIRST", " NO_RELATION. The text does not provide enough context to establish a relation between 'San", " EVENT_PRECEDES_EVENT", " REPORTED_IN", " ENTERED_QUANTITY. This is the correct label for the given context and entities", " URGES", " URGES", " ENTERED_LOCATION", " DIED_OF\n\n Explanation:\n The text states that \"Act", " DIED_IN", " PRECEDES", " DISPLAYED_IN", " AFFECTED_BY", " URGES", " URGES", " DISPUTED_AT_LOCATION", " NO_RELATION", " DEATH_PLACE_FOR\n\n Explanation:\n The text ment", " PREVIOUSLY_OCCURRED\n\n Explanation:\n", " REPORTED_BY", " URGES_TO_STAY_OUT_OF\n\n Explanation:", " URGES_FIRST_TIME", " URGES\n\n Explanation:\n The U.S. Justice Department", " URGES", " URGES_TO_STAY_OUT_OF\n\n Explanation:", " NO_RELATION", " URGES_LOCATION", " URGS_DEFENSE \n (The U.S. Justice Department urges", " URGES_FOR_FIRST_TIME", " URGE_LEGAL_ACTION", " URGE_TO_STAY_OUT\n OR:\n ANNOUN", " REPORTED_BY", " URGES_TO_STAY_OUT_OF", " REQUESTED_TO_STAY_OUT_OF_CASE_BY\n\n", " INFLUENCES \n\n Explanation:\n The context indicates that", " URGES", " URGES_TO_STAY_OUT_OF", " DIFFERENT_EVENT", " DEATH_LOCATION", " STAYS_OUT_OF\n\n Explanation:\n The context does", " INVOLVED_IN\n\n Explanation:\n The Supreme Court is involved", " DISPUTES_WORK_OF_ART", " DISPUTE_DATE", " REPORTS_ON", " DISPUTED_AT_LOCATION", " DISPUTE_OF_DOCUMENTS_AT_TIME\n\n Explan", " AFFECTED_BY", " URGES", " URGES", " DIFFERENT_EVENT", " DIFFERENT_LOCATION", " DIFFERENT_ORGANIZATIONS", " DISPUTE_OF_DOCUMENTS", " NO_RELATION", " DISCUSSION_ABOUT_EVENT_ON_DATE", " REPORTED_BY", " DIED_AT", " FOUND_DEAD_BY\n\n Explanation:\n The text states", " DIED_IN (Lansbury, Hurricane Ian) or NO_RELATION", " URGES", " URGES", " DIED_AT", " DIED_IN", " NO_RELATION", " FOUND_DEAD_BY_ORDINAL", " DIED_AT\n\n Explanation:\n The text mentions that D", " RELEASING_ON_DATE", " MENTIONED_IN.", " DISTANCE_FROM. The entities represent locations, so the relation is DISTANCE_", " FOUND_IN", " LOCATION_OF\n\n Explanation:\n The text states that \"", " LOCATION_OF\n\n Explanation:\n The text mentions that", " NEAR_LOCATION", " DIFFERENT_LOCATION", " DIED_IN", " LOCATION_OF\n\n Explanation:\n The text mentions that", " FOUND_IN", " The actress was found dead in Los Angeles.\n Therefore, the relation label is: LO", " LOCATION_NEARS_EVENT", " MENTIONED_IN.", " NASA_is_responsible_for_the_success_of_the_mission_", " NASA_is_the_first_to_successfully_complete_a_planetary", " DEFENDED_AGAINST", " UPDATE: The correct relation label for this example is 'ADVOCACY'.", " STAYS_OUT_OF_DISPUTE", " DEFENSE_MISSION_AT_LOCATION", " DIFFERENT_EVENT", " DIFFERENT_LOCATION", " NASA_is_responsible_for_the_first_planetary_defense_", " DEFENSE_OF_WORK_OF_ART_BY_ORGANIZATION", " FUTURE_EVENT_OF", " REPORTED_BY", " ENTERED_GPE", " URGES", " URGES_TO_STAY_OUT_OF", " URGS_DISPUTE \n\n Explanation:\n The text", " DIED_OF\n\n Explanation:\n The text states that \"Act", " DIED_IN", " PRECEDES", " DISPLAYED_BY", " NO_RELATION. The text does not provide enough context to establish a relation between 'Sl", " DISPUTES.", " DISPUTES.", " DISPUTED_AT_LOCATION", " SUBJECT_OF. This is because 'Slasher' is the head entity and '", " LOCATION_OF", " PRECEDES", " REPORTED_BY", " ARRIVES_AT", " URGES", " DISPUTES\n\n Explanation:\n The context mentions that the Supreme", " THE_EVENT_OCCURS_AT\n\n Explanation:\n ", " DIED_ON.", " LOCATION_OF\n or\n NO_RELATION", " EVENT_ORGANIZED_BY", " PROVIDES_INFORMATION", " REPORTED_AT_LOCATION", " NEWS_SOURCE_MENTIONS_EVENT_FIRST_TIME", " REPORTED_EVENT", " REPORTED_BY", " URGES", " REPORTED_AT", " REPORTED_DEATH", " DEATH_LOCATION", " REPORTED_SUCCESS", " BROADCASTS_FIRST_TIME_ABOUT", " REPORTED_ABOUT", " EVENT_MENTIONS_DATE" ]
[ [ "5", "6", "GPE", "Sanibel" ], [ "8", "9", "ORDINAL", "first" ], [ "11", "13", "EVENT", "Hurricane Ian" ], [ "14", "18", "ORG", "The U.S. Justice Department" ], [ "19", "22", "ORG", "the Supreme Court" ], [ "27", "32", "LOC", "Mar-a-lago" ], [ "36", "39", "PERSON", "Dame Angela Lansbury" ], [ "43", "45", "GPE", "Los Angeles" ], [ "47", "48", "ORG", "NASA" ], [ "49", "50", "ORDINAL", "first" ], [ "62", "63", "WORK_OF_ART", "Slasher" ], [ "67", "69", "DATE", "this Friday" ], [ "76", "77", "ORG", "Newsbreak" ] ]
613
615
[ "Carpe More Diem\nWelcome to Day 3 of the Carpe More Diem living. Today you will be drawing on the insights from your life vision to arrive at your yearly being and doing goals. Make sure to exhaust everything you potentially will be saying yes to over the next year, so you can intentionally choose what is really most important to you.\n© Copyright Carpe More Diem. All Rights Reserved." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Carpe More Diem\nWelcome to Day 3 of the Carpe More Diem living. Today you will be drawing on the insights from your life vision to arrive at your yearly being and doing goals. Make sure to exhaust everything you potentially will be saying yes to over the next year, so you can intentionally choose what is really most important to you.\n© Copyright Carpe More Diem. All Rights Reserved.'] Entities: [{'head': ['0', '3', 'PERSON', 'Carpe More Diem'], 'tail': ['31', '32', 'DATE', 'yearly']}] Relation:
[ [ { "head": [ "0", "3", "PERSON", "Carpe More Diem" ], "tail": [ "31", "32", "DATE", "yearly" ] } ], [ { "head": [ "0", "3", "PERSON", "Carpe More Diem" ], "tail": [ "50", "53", "DATE", "the next year" ] } ], [ { "head": [ "0", "3", "PERSON", "Carpe More Diem" ], "tail": [ "70", "73", "ORG", "Carpe More Diem" ] } ], [ { "head": [ "31", "32", "DATE", "yearly" ], "tail": [ "0", "3", "PERSON", "Carpe More Diem" ] } ], [ { "head": [ "31", "32", "DATE", "yearly" ], "tail": [ "70", "73", "ORG", "Carpe More Diem" ] } ], [ { "head": [ "50", "53", "DATE", "the next year" ], "tail": [ "0", "3", "PERSON", "Carpe More Diem" ] } ], [ { "head": [ "50", "53", "DATE", "the next year" ], "tail": [ "70", "73", "ORG", "Carpe More Diem" ] } ], [ { "head": [ "70", "73", "ORG", "Carpe More Diem" ], "tail": [ "0", "3", "PERSON", "Carpe More Diem" ] } ], [ { "head": [ "70", "73", "ORG", "Carpe More Diem" ], "tail": [ "31", "32", "DATE", "yearly" ] } ], [ { "head": [ "70", "73", "ORG", "Carpe More Diem" ], "tail": [ "50", "53", "DATE", "the next year" ] } ] ]
[ " ORGANIZATION_HAS_EVENT", " TIME_PERIOD_OF\n\n Explanation:\n The head entity", " ORG_IS_AUTHOR_OF_ORG", " ORGANIZES_EVENT", " ORGANIZER", " TIME_PERIOD_FOR_ORGANIZATION", " TIME_PERIOD_OF\n ORGANIZATION_FOR\n OR", " ORG_FOUNDED_BY\n ORG_IS_NAME_OF\n", " ORGANIZES\n\n Explanation:\n The text describes Carpe", " TIME_PERIOD_INCLUDES" ]
[ [ "0", "3", "PERSON", "Carpe More Diem" ], [ "31", "32", "DATE", "yearly" ], [ "50", "53", "DATE", "the next year" ], [ "70", "73", "ORG", "Carpe More Diem" ] ]
614
616
[ "CINet’s advisory board currently consists of four members. Professor John Bessant is one of the founding members and widely acknowledged for his work on innovation, ranging from incremental, continuous improvement to discontinuous innovation. Professors Ross Chapman, Paul Coughlan and Mariano Corso are all members of the first CINet board, established in 2001. They have continued supporting the network in its development since they resigned from their board positions.\nCentral Queensland University" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['CINet’s advisory board currently consists of four members. Professor John Bessant is one of the founding members and widely acknowledged for his work on innovation, ranging from incremental, continuous improvement to discontinuous innovation. Professors Ross Chapman, Paul Coughlan and Mariano Corso are all members of the first CINet board, established in 2001. They have continued supporting the network in its development since they resigned from their board positions.\nCentral Queensland University'] Entities: [{'head': ['0', '1', 'ORG', 'CINet'], 'tail': ['7', '8', 'CARDINAL', 'four']}] Relation:
[ [ { "head": [ "0", "1", "ORG", "CINet" ], "tail": [ "7", "8", "CARDINAL", "four" ] } ], [ { "head": [ "0", "1", "ORG", "CINet" ], "tail": [ "11", "13", "PERSON", "John Bessant" ] } ], [ { "head": [ "0", "1", "ORG", "CINet" ], "tail": [ "14", "15", "CARDINAL", "one" ] } ], [ { "head": [ "0", "1", "ORG", "CINet" ], "tail": [ "39", "41", "PERSON", "Ross Chapman" ] } ], [ { "head": [ "0", "1", "ORG", "CINet" ], "tail": [ "42", "44", "PERSON", "Paul Coughlan" ] } ], [ { "head": [ "0", "1", "ORG", "CINet" ], "tail": [ "45", "47", "PERSON", "Mariano Corso" ] } ], [ { "head": [ "0", "1", "ORG", "CINet" ], "tail": [ "52", "53", "ORDINAL", "first" ] } ], [ { "head": [ "0", "1", "ORG", "CINet" ], "tail": [ "53", "54", "ORG", "CINet" ] } ], [ { "head": [ "0", "1", "ORG", "CINet" ], "tail": [ "58", "59", "DATE", "2001" ] } ], [ { "head": [ "0", "1", "ORG", "CINet" ], "tail": [ "78", "81", "ORG", "Central Queensland University" ] } ], [ { "head": [ "7", "8", "CARDINAL", "four" ], "tail": [ "0", "1", "ORG", "CINet" ] } ], [ { "head": [ "7", "8", "CARDINAL", "four" ], "tail": [ "11", "13", "PERSON", "John Bessant" ] } ], [ { "head": [ "7", "8", "CARDINAL", "four" ], "tail": [ "39", "41", "PERSON", "Ross Chapman" ] } ], [ { "head": [ "7", "8", "CARDINAL", "four" ], "tail": [ "42", "44", "PERSON", "Paul Coughlan" ] } ], [ { "head": [ "7", "8", "CARDINAL", "four" ], "tail": [ "45", "47", "PERSON", "Mariano Corso" ] } ], [ { "head": [ "7", "8", "CARDINAL", "four" ], "tail": [ "53", "54", "ORG", "CINet" ] } ], [ { "head": [ "7", "8", "CARDINAL", "four" ], "tail": [ "78", "81", "ORG", "Central Queensland University" ] } ], [ { "head": [ "11", "13", "PERSON", "John Bessant" ], "tail": [ "0", "1", "ORG", "CINet" ] } ], [ { "head": [ "11", "13", "PERSON", "John Bessant" ], "tail": [ "7", "8", "CARDINAL", "four" ] } ], [ { "head": [ "11", "13", "PERSON", "John Bessant" ], "tail": [ "14", "15", "CARDINAL", "one" ] } ], [ { "head": [ "11", "13", "PERSON", "John Bessant" ], "tail": [ "39", "41", "PERSON", "Ross Chapman" ] } ], [ { "head": [ "11", "13", "PERSON", "John Bessant" ], "tail": [ "42", "44", "PERSON", "Paul Coughlan" ] } ], [ { "head": [ "11", "13", "PERSON", "John Bessant" ], "tail": [ "45", "47", "PERSON", "Mariano Corso" ] } ], [ { "head": [ "11", "13", "PERSON", "John Bessant" ], "tail": [ "52", "53", "ORDINAL", "first" ] } ], [ { "head": [ "11", "13", "PERSON", "John Bessant" ], "tail": [ "53", "54", "ORG", "CINet" ] } ], [ { "head": [ "11", "13", "PERSON", "John Bessant" ], "tail": [ "58", "59", "DATE", "2001" ] } ], [ { "head": [ "11", "13", "PERSON", "John Bessant" ], "tail": [ "78", "81", "ORG", "Central Queensland University" ] } ], [ { "head": [ "14", "15", "CARDINAL", "one" ], "tail": [ "0", "1", "ORG", "CINet" ] } ], [ { "head": [ "14", "15", "CARDINAL", "one" ], "tail": [ "11", "13", "PERSON", "John Bessant" ] } ], [ { "head": [ "14", "15", "CARDINAL", "one" ], "tail": [ "39", "41", "PERSON", "Ross Chapman" ] } ], [ { "head": [ "14", "15", "CARDINAL", "one" ], "tail": [ "42", "44", "PERSON", "Paul Coughlan" ] } ], [ { "head": [ "14", "15", "CARDINAL", "one" ], "tail": [ "45", "47", "PERSON", "Mariano Corso" ] } ], [ { "head": [ "14", "15", "CARDINAL", "one" ], "tail": [ "53", "54", "ORG", "CINet" ] } ], [ { "head": [ "14", "15", "CARDINAL", "one" ], "tail": [ "78", "81", "ORG", "Central Queensland University" ] } ], [ { "head": [ "39", "41", "PERSON", "Ross Chapman" ], "tail": [ "0", "1", "ORG", "CINet" ] } ], [ { "head": [ "39", "41", "PERSON", "Ross Chapman" ], "tail": [ "7", "8", "CARDINAL", "four" ] } ], [ { "head": [ "39", "41", "PERSON", "Ross Chapman" ], "tail": [ "11", "13", "PERSON", "John Bessant" ] } ], [ { "head": [ "39", "41", "PERSON", "Ross Chapman" ], "tail": [ "14", "15", "CARDINAL", "one" ] } ], [ { "head": [ "39", "41", "PERSON", "Ross Chapman" ], "tail": [ "42", "44", "PERSON", "Paul Coughlan" ] } ], [ { "head": [ "39", "41", "PERSON", "Ross Chapman" ], "tail": [ "45", "47", "PERSON", "Mariano Corso" ] } ], [ { "head": [ "39", "41", "PERSON", "Ross Chapman" ], "tail": [ "52", "53", "ORDINAL", "first" ] } ], [ { "head": [ "39", "41", "PERSON", "Ross Chapman" ], "tail": [ "53", "54", "ORG", "CINet" ] } ], [ { "head": [ "39", "41", "PERSON", "Ross Chapman" ], "tail": [ "58", "59", "DATE", "2001" ] } ], [ { "head": [ "39", "41", "PERSON", "Ross Chapman" ], "tail": [ "78", "81", "ORG", "Central Queensland University" ] } ], [ { "head": [ "42", "44", "PERSON", "Paul Coughlan" ], "tail": [ "0", "1", "ORG", "CINet" ] } ], [ { "head": [ "42", "44", "PERSON", "Paul Coughlan" ], "tail": [ "7", "8", "CARDINAL", "four" ] } ], [ { "head": [ "42", "44", "PERSON", "Paul Coughlan" ], "tail": [ "11", "13", "PERSON", "John Bessant" ] } ], [ { "head": [ "42", "44", "PERSON", "Paul Coughlan" ], "tail": [ "14", "15", "CARDINAL", "one" ] } ], [ { "head": [ "42", "44", "PERSON", "Paul Coughlan" ], "tail": [ "39", "41", "PERSON", "Ross Chapman" ] } ], [ { "head": [ "42", "44", "PERSON", "Paul Coughlan" ], "tail": [ "45", "47", "PERSON", "Mariano Corso" ] } ], [ { "head": [ "42", "44", "PERSON", "Paul Coughlan" ], "tail": [ "52", "53", "ORDINAL", "first" ] } ], [ { "head": [ "42", "44", "PERSON", "Paul Coughlan" ], "tail": [ "53", "54", "ORG", "CINet" ] } ], [ { "head": [ "42", "44", "PERSON", "Paul Coughlan" ], "tail": [ "58", "59", "DATE", "2001" ] } ], [ { "head": [ "42", "44", "PERSON", "Paul Coughlan" ], "tail": [ "78", "81", "ORG", "Central Queensland University" ] } ], [ { "head": [ "45", "47", "PERSON", "Mariano Corso" ], "tail": [ "0", "1", "ORG", "CINet" ] } ], [ { "head": [ "45", "47", "PERSON", "Mariano Corso" ], "tail": [ "7", "8", "CARDINAL", "four" ] } ], [ { "head": [ "45", "47", "PERSON", "Mariano Corso" ], "tail": [ "11", "13", "PERSON", "John Bessant" ] } ], [ { "head": [ "45", "47", "PERSON", "Mariano Corso" ], "tail": [ "14", "15", "CARDINAL", "one" ] } ], [ { "head": [ "45", "47", "PERSON", "Mariano Corso" ], "tail": [ "39", "41", "PERSON", "Ross Chapman" ] } ], [ { "head": [ "45", "47", "PERSON", "Mariano Corso" ], "tail": [ "42", "44", "PERSON", "Paul Coughlan" ] } ], [ { "head": [ "45", "47", "PERSON", "Mariano Corso" ], "tail": [ "52", "53", "ORDINAL", "first" ] } ], [ { "head": [ "45", "47", "PERSON", "Mariano Corso" ], "tail": [ "53", "54", "ORG", "CINet" ] } ], [ { "head": [ "45", "47", "PERSON", "Mariano Corso" ], "tail": [ "58", "59", "DATE", "2001" ] } ], [ { "head": [ "45", "47", "PERSON", "Mariano Corso" ], "tail": [ "78", "81", "ORG", "Central Queensland University" ] } ], [ { "head": [ "52", "53", "ORDINAL", "first" ], "tail": [ "0", "1", "ORG", "CINet" ] } ], [ { "head": [ "52", "53", "ORDINAL", "first" ], "tail": [ "11", "13", "PERSON", "John Bessant" ] } ], [ { "head": [ "52", "53", "ORDINAL", "first" ], "tail": [ "39", "41", "PERSON", "Ross Chapman" ] } ], [ { "head": [ "52", "53", "ORDINAL", "first" ], "tail": [ "42", "44", "PERSON", "Paul Coughlan" ] } ], [ { "head": [ "52", "53", "ORDINAL", "first" ], "tail": [ "45", "47", "PERSON", "Mariano Corso" ] } ], [ { "head": [ "52", "53", "ORDINAL", "first" ], "tail": [ "53", "54", "ORG", "CINet" ] } ], [ { "head": [ "52", "53", "ORDINAL", "first" ], "tail": [ "78", "81", "ORG", "Central Queensland University" ] } ], [ { "head": [ "53", "54", "ORG", "CINet" ], "tail": [ "0", "1", "ORG", "CINet" ] } ], [ { "head": [ "53", "54", "ORG", "CINet" ], "tail": [ "7", "8", "CARDINAL", "four" ] } ], [ { "head": [ "53", "54", "ORG", "CINet" ], "tail": [ "11", "13", "PERSON", "John Bessant" ] } ], [ { "head": [ "53", "54", "ORG", "CINet" ], "tail": [ "14", "15", "CARDINAL", "one" ] } ], [ { "head": [ "53", "54", "ORG", "CINet" ], "tail": [ "39", "41", "PERSON", "Ross Chapman" ] } ], [ { "head": [ "53", "54", "ORG", "CINet" ], "tail": [ "42", "44", "PERSON", "Paul Coughlan" ] } ], [ { "head": [ "53", "54", "ORG", "CINet" ], "tail": [ "45", "47", "PERSON", "Mariano Corso" ] } ], [ { "head": [ "53", "54", "ORG", "CINet" ], "tail": [ "52", "53", "ORDINAL", "first" ] } ], [ { "head": [ "53", "54", "ORG", "CINet" ], "tail": [ "58", "59", "DATE", "2001" ] } ], [ { "head": [ "53", "54", "ORG", "CINet" ], "tail": [ "78", "81", "ORG", "Central Queensland University" ] } ], [ { "head": [ "58", "59", "DATE", "2001" ], "tail": [ "0", "1", "ORG", "CINet" ] } ], [ { "head": [ "58", "59", "DATE", "2001" ], "tail": [ "11", "13", "PERSON", "John Bessant" ] } ], [ { "head": [ "58", "59", "DATE", "2001" ], "tail": [ "39", "41", "PERSON", "Ross Chapman" ] } ], [ { "head": [ "58", "59", "DATE", "2001" ], "tail": [ "42", "44", "PERSON", "Paul Coughlan" ] } ], [ { "head": [ "58", "59", "DATE", "2001" ], "tail": [ "45", "47", "PERSON", "Mariano Corso" ] } ], [ { "head": [ "58", "59", "DATE", "2001" ], "tail": [ "53", "54", "ORG", "CINet" ] } ], [ { "head": [ "58", "59", "DATE", "2001" ], "tail": [ "78", "81", "ORG", "Central Queensland University" ] } ], [ { "head": [ "78", "81", "ORG", "Central Queensland University" ], "tail": [ "0", "1", "ORG", "CINet" ] } ], [ { "head": [ "78", "81", "ORG", "Central Queensland University" ], "tail": [ "7", "8", "CARDINAL", "four" ] } ], [ { "head": [ "78", "81", "ORG", "Central Queensland University" ], "tail": [ "11", "13", "PERSON", "John Bessant" ] } ], [ { "head": [ "78", "81", "ORG", "Central Queensland University" ], "tail": [ "14", "15", "CARDINAL", "one" ] } ], [ { "head": [ "78", "81", "ORG", "Central Queensland University" ], "tail": [ "39", "41", "PERSON", "Ross Chapman" ] } ], [ { "head": [ "78", "81", "ORG", "Central Queensland University" ], "tail": [ "42", "44", "PERSON", "Paul Coughlan" ] } ], [ { "head": [ "78", "81", "ORG", "Central Queensland University" ], "tail": [ "45", "47", "PERSON", "Mariano Corso" ] } ], [ { "head": [ "78", "81", "ORG", "Central Queensland University" ], "tail": [ "52", "53", "ORDINAL", "first" ] } ], [ { "head": [ "78", "81", "ORG", "Central Queensland University" ], "tail": [ "53", "54", "ORG", "CINet" ] } ], [ { "head": [ "78", "81", "ORG", "Central Queensland University" ], "tail": [ "58", "59", "DATE", "2001" ] } ] ]
[ " CONTAINS_MEMBER", " FOUNDER", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " CONTAINS_MEMBER", " ORG_MEMBER_OF", " ESTABLISHED_IN_YEAR", " CONTAINS\n\n Explanation:\n The text states that 'Central", " CONTAINS_MEMBER", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " CONTAINS_MEMBER", " CONTAINS_MEMBER", " FOUNDER", " MEMBER_OF", " FOUNDING_MEMBER", " COFOUNDER", " COFOUNDER", " COLLABORATOR", " FOUNDING_MEMBER", " FOUNDER", " FOUNDING_MEMBER_OF", " ADVISORY_BOARD_MEMBER", " CONTAINS_MEMBER", " FOUNDING_MEMBER", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " CONTAINS_MEMBER", " CONTAINS\n\n Explanation:\n The text states that 'Central", " MEMBER_OF", " MEMBER_OF", " CO-FOUNDER", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF \n\n Explanation:\n The text states that Paul", " MEMBER_OF", " CO-FOUNDER", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " SUPPORTED_BY", " MEMBER_OF", " MEMBER_OF", " CO-FOUNDER", " MEMBER_OF", " CO-FOUNDER", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " FOUNDING_MEMBER", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " SUPPORTED_BY", " ADVISORY_BOARD", " MEMBER_OF", " FOUNDER", " FOUNDING_MEMBER", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " FOUNDING_MEMBER", " ESTABLISHED_IN_YEAR", " CONTAINS\n\n Explanation:\n The text states that 'Central", " ESTABLISHED_BY", " FOUNDING_MEMBER", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " ESTABLISHED_BY", " ESTABLISHED_IN_YEAR", " HOST_OF", " CONTAINS_MEMBER", " MEMBER_OF", " UNIVERSITY_OF\n\n Explanation:\n The text states that", " MEMBER_OF", " MEMBER_OF", " SUPPORTED_BY", " ESTABLISHED_IN_YEARS_AGO", " HOST_OF", " ESTABLISHED_IN_YEAR" ]
[ [ "0", "1", "ORG", "CINet" ], [ "7", "8", "CARDINAL", "four" ], [ "11", "13", "PERSON", "John Bessant" ], [ "14", "15", "CARDINAL", "one" ], [ "39", "41", "PERSON", "Ross Chapman" ], [ "42", "44", "PERSON", "Paul Coughlan" ], [ "45", "47", "PERSON", "Mariano Corso" ], [ "52", "53", "ORDINAL", "first" ], [ "53", "54", "ORG", "CINet" ], [ "58", "59", "DATE", "2001" ], [ "78", "81", "ORG", "Central Queensland University" ] ]
615
617
[ "Ab-Fab Sweetie Darling Mug\n11 oz. white ceramic mug with original artwork inspired by the show, “Absolutely Fabulous.” Sweetie! Sweetie Darling! It’s a Lacroix Baby! This show still holds up because it is absolutely brilliant! All BFFs will want to commemorate their friendship goals with this mug featuring the hilariously debaucherous Edina and Patsy. Artwork is licensed only to Citizen Ruth. Dishwasher and Microwave safe. Hand wash preferred. Artwork by Helena Hartell." ]
[ [ "Ab", "-", "Fab", "Sweetie", "Darling", "Mug", "\n", "11", "oz", ".", "white", "ceramic", "mug", "with", "original", "artwork", "inspired", "by", "the", "show", ",", "“", "Absolutely", "Fabulous", ".", "”", "Sweetie", "!", "Sweetie", "Darling", "!", "It", "’s", "a", "Lacroix", "Baby", "!", "This", "show", "still", "holds", "up", "because", "it", "is", "absolutely", "brilliant", "!", "All", "BFFs", "will", "want", "to", "commemorate", "their", "friendship", "goals", "with", "this", "mug", "featuring", "the", "hilariously", "debaucherous", "Edina", "and", "Patsy", ".", "Artwork", "is", "licensed", "only", "to", "Citizen", "Ruth", ".", "Dishwasher", "and", "Microwave", "safe", ".", "Hand", "wash", "preferred", ".", "Artwork", "by", "Helena", "Hartell", "." ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Ab-Fab Sweetie Darling Mug\n11 oz. white ceramic mug with original artwork inspired by the show, “Absolutely Fabulous.” Sweetie! Sweetie Darling! It’s a Lacroix Baby! This show still holds up because it is absolutely brilliant! All BFFs will want to commemorate their friendship goals with this mug featuring the hilariously debaucherous Edina and Patsy. Artwork is licensed only to Citizen Ruth. Dishwasher and Microwave safe. Hand wash preferred. Artwork by Helena Hartell.'] Entities: [{'head': ['3', '5', 'PERSON', 'Sweetie Darling'], 'tail': ['7', '9', 'QUANTITY', '11 oz']}] Relation:
[ [ { "head": [ "3", "5", "PERSON", "Sweetie Darling" ], "tail": [ "7", "9", "QUANTITY", "11 oz" ] } ], [ { "head": [ "3", "5", "PERSON", "Sweetie Darling" ], "tail": [ "22", "24", "WORK_OF_ART", "Absolutely Fabulous" ] } ], [ { "head": [ "3", "5", "PERSON", "Sweetie Darling" ], "tail": [ "28", "30", "PERSON", "Sweetie Darling" ] } ], [ { "head": [ "3", "5", "PERSON", "Sweetie Darling" ], "tail": [ "64", "65", "PERSON", "Edina" ] } ], [ { "head": [ "3", "5", "PERSON", "Sweetie Darling" ], "tail": [ "66", "67", "PERSON", "Patsy" ] } ], [ { "head": [ "3", "5", "PERSON", "Sweetie Darling" ], "tail": [ "87", "89", "PERSON", "Helena Hartell" ] } ], [ { "head": [ "7", "9", "QUANTITY", "11 oz" ], "tail": [ "3", "5", "PERSON", "Sweetie Darling" ] } ], [ { "head": [ "7", "9", "QUANTITY", "11 oz" ], "tail": [ "28", "30", "PERSON", "Sweetie Darling" ] } ], [ { "head": [ "7", "9", "QUANTITY", "11 oz" ], "tail": [ "64", "65", "PERSON", "Edina" ] } ], [ { "head": [ "7", "9", "QUANTITY", "11 oz" ], "tail": [ "66", "67", "PERSON", "Patsy" ] } ], [ { "head": [ "7", "9", "QUANTITY", "11 oz" ], "tail": [ "87", "89", "PERSON", "Helena Hartell" ] } ], [ { "head": [ "22", "24", "WORK_OF_ART", "Absolutely Fabulous" ], "tail": [ "3", "5", "PERSON", "Sweetie Darling" ] } ], [ { "head": [ "22", "24", "WORK_OF_ART", "Absolutely Fabulous" ], "tail": [ "28", "30", "PERSON", "Sweetie Darling" ] } ], [ { "head": [ "22", "24", "WORK_OF_ART", "Absolutely Fabulous" ], "tail": [ "64", "65", "PERSON", "Edina" ] } ], [ { "head": [ "22", "24", "WORK_OF_ART", "Absolutely Fabulous" ], "tail": [ "66", "67", "PERSON", "Patsy" ] } ], [ { "head": [ "22", "24", "WORK_OF_ART", "Absolutely Fabulous" ], "tail": [ "87", "89", "PERSON", "Helena Hartell" ] } ], [ { "head": [ "28", "30", "PERSON", "Sweetie Darling" ], "tail": [ "3", "5", "PERSON", "Sweetie Darling" ] } ], [ { "head": [ "28", "30", "PERSON", "Sweetie Darling" ], "tail": [ "7", "9", "QUANTITY", "11 oz" ] } ], [ { "head": [ "28", "30", "PERSON", "Sweetie Darling" ], "tail": [ "22", "24", "WORK_OF_ART", "Absolutely Fabulous" ] } ], [ { "head": [ "28", "30", "PERSON", "Sweetie Darling" ], "tail": [ "64", "65", "PERSON", "Edina" ] } ], [ { "head": [ "28", "30", "PERSON", "Sweetie Darling" ], "tail": [ "66", "67", "PERSON", "Patsy" ] } ], [ { "head": [ "28", "30", "PERSON", "Sweetie Darling" ], "tail": [ "87", "89", "PERSON", "Helena Hartell" ] } ], [ { "head": [ "64", "65", "PERSON", "Edina" ], "tail": [ "3", "5", "PERSON", "Sweetie Darling" ] } ], [ { "head": [ "64", "65", "PERSON", "Edina" ], "tail": [ "7", "9", "QUANTITY", "11 oz" ] } ], [ { "head": [ "64", "65", "PERSON", "Edina" ], "tail": [ "22", "24", "WORK_OF_ART", "Absolutely Fabulous" ] } ], [ { "head": [ "64", "65", "PERSON", "Edina" ], "tail": [ "28", "30", "PERSON", "Sweetie Darling" ] } ], [ { "head": [ "64", "65", "PERSON", "Edina" ], "tail": [ "66", "67", "PERSON", "Patsy" ] } ], [ { "head": [ "64", "65", "PERSON", "Edina" ], "tail": [ "87", "89", "PERSON", "Helena Hartell" ] } ], [ { "head": [ "66", "67", "PERSON", "Patsy" ], "tail": [ "3", "5", "PERSON", "Sweetie Darling" ] } ], [ { "head": [ "66", "67", "PERSON", "Patsy" ], "tail": [ "7", "9", "QUANTITY", "11 oz" ] } ], [ { "head": [ "66", "67", "PERSON", "Patsy" ], "tail": [ "22", "24", "WORK_OF_ART", "Absolutely Fabulous" ] } ], [ { "head": [ "66", "67", "PERSON", "Patsy" ], "tail": [ "28", "30", "PERSON", "Sweetie Darling" ] } ], [ { "head": [ "66", "67", "PERSON", "Patsy" ], "tail": [ "64", "65", "PERSON", "Edina" ] } ], [ { "head": [ "66", "67", "PERSON", "Patsy" ], "tail": [ "87", "89", "PERSON", "Helena Hartell" ] } ], [ { "head": [ "87", "89", "PERSON", "Helena Hartell" ], "tail": [ "3", "5", "PERSON", "Sweetie Darling" ] } ], [ { "head": [ "87", "89", "PERSON", "Helena Hartell" ], "tail": [ "7", "9", "QUANTITY", "11 oz" ] } ], [ { "head": [ "87", "89", "PERSON", "Helena Hartell" ], "tail": [ "22", "24", "WORK_OF_ART", "Absolutely Fabulous" ] } ], [ { "head": [ "87", "89", "PERSON", "Helena Hartell" ], "tail": [ "28", "30", "PERSON", "Sweetie Darling" ] } ], [ { "head": [ "87", "89", "PERSON", "Helena Hartell" ], "tail": [ "64", "65", "PERSON", "Edina" ] } ], [ { "head": [ "87", "89", "PERSON", "Helena Hartell" ], "tail": [ "66", "67", "PERSON", "Patsy" ] } ] ]
[ " HAS_QUANTITY", " INSPIRED_BY", " SAME_PERSON", " FRIEND", " FRIEND", " ARTIST_OF\n or\n CREATED_BY\n or\n", " GIVES\n\n Explanation:\n The text describes the mug as", " GIFT\n\n Explanation:\n The text describes the mug as a", " OWNER_OF \n or\n HAS_QUANTITY\n ", " GIFT\n\n Explanation:\n The text describes the mug as a", " CREATED_BY", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " CREATED_BY", " SAME_PERSON", " HAS_QUANTITY", " INSPIRED_BY", " FRIEND", " FRIEND", " ARTIST_OF\n # This relation indicates that Helena Hartell is the artist", " FRIEND", " HAS_QUANTITY", " INSPIRED_BY", " FRIEND", " FRIEND", " ARTIST_OF\n or\n CREATED_BY\n or\n", " FRIEND", " HAS_QUANTITY\n\n Or if no relation:\n\n NO_", " INSPIRED_BY", " FRIEND", " FRIEND", " ARTIST_OF\n or\n CREATED_BY\n or\n", " CREATED_BY", " CREATES\n\n Explanation:\n The text describes Helena Hart", " CREATED_BY", " CREATED_BY", " CREATED_BY", " ARTIST_OF\n OR\n CREATED_BY\n OR\n" ]
[ [ "3", "5", "PERSON", "Sweetie Darling" ], [ "7", "9", "QUANTITY", "11 oz" ], [ "22", "24", "WORK_OF_ART", "Absolutely Fabulous" ], [ "28", "30", "PERSON", "Sweetie Darling" ], [ "64", "65", "PERSON", "Edina" ], [ "66", "67", "PERSON", "Patsy" ], [ "87", "89", "PERSON", "Helena Hartell" ] ]
616
618
[ "2008 Felipe Massa Ferrari race helmet.\nThis original carbon fiber Schuberth RF1 helmet was worn by the Brazilian superstar at the 2008 European GP at Valencia in the race winning Ferrari F2008 (s/n 269). The helmet shows good signs of wear and has been signed on the visor. Not only did Massa win this race, but the Scuderia won the Constructor’s Title that year as well.\nSOLD – enquire on having us find you a similar one." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['2008 Felipe Massa Ferrari race helmet.\nThis original carbon fiber Schuberth RF1 helmet was worn by the Brazilian superstar at the 2008 European GP at Valencia in the race winning Ferrari F2008 (s/n 269). The helmet shows good signs of wear and has been signed on the visor. Not only did Massa win this race, but the Scuderia won the Constructor’s Title that year as well.\nSOLD – enquire on having us find you a similar one.'] Entities: [{'head': ['0', '1', 'DATE', '2008'], 'tail': ['1', '3', 'PERSON', 'Felipe Massa']}] Relation:
[ [ { "head": [ "0", "1", "DATE", "2008" ], "tail": [ "1", "3", "PERSON", "Felipe Massa" ] } ], [ { "head": [ "0", "1", "DATE", "2008" ], "tail": [ "27", "28", "GPE", "Valencia" ] } ], [ { "head": [ "0", "1", "DATE", "2008" ], "tail": [ "32", "33", "ORG", "Ferrari" ] } ], [ { "head": [ "0", "1", "DATE", "2008" ], "tail": [ "59", "60", "PERSON", "Massa" ] } ], [ { "head": [ "0", "1", "DATE", "2008" ], "tail": [ "66", "67", "ORG", "Scuderia" ] } ], [ { "head": [ "1", "3", "PERSON", "Felipe Massa" ], "tail": [ "0", "1", "DATE", "2008" ] } ], [ { "head": [ "1", "3", "PERSON", "Felipe Massa" ], "tail": [ "12", "14", "PRODUCT", "Schuberth RF1" ] } ], [ { "head": [ "1", "3", "PERSON", "Felipe Massa" ], "tail": [ "19", "20", "NORP", "Brazilian" ] } ], [ { "head": [ "1", "3", "PERSON", "Felipe Massa" ], "tail": [ "23", "24", "DATE", "2008" ] } ], [ { "head": [ "1", "3", "PERSON", "Felipe Massa" ], "tail": [ "24", "26", "EVENT", "European GP" ] } ], [ { "head": [ "1", "3", "PERSON", "Felipe Massa" ], "tail": [ "27", "28", "GPE", "Valencia" ] } ], [ { "head": [ "1", "3", "PERSON", "Felipe Massa" ], "tail": [ "32", "33", "ORG", "Ferrari" ] } ], [ { "head": [ "1", "3", "PERSON", "Felipe Massa" ], "tail": [ "33", "34", "PRODUCT", "F2008" ] } ], [ { "head": [ "1", "3", "PERSON", "Felipe Massa" ], "tail": [ "38", "39", "CARDINAL", "269" ] } ], [ { "head": [ "1", "3", "PERSON", "Felipe Massa" ], "tail": [ "59", "60", "PERSON", "Massa" ] } ], [ { "head": [ "1", "3", "PERSON", "Felipe Massa" ], "tail": [ "66", "67", "ORG", "Scuderia" ] } ], [ { "head": [ "1", "3", "PERSON", "Felipe Massa" ], "tail": [ "68", "72", "WORK_OF_ART", "the Constructor’s Title" ] } ], [ { "head": [ "1", "3", "PERSON", "Felipe Massa" ], "tail": [ "72", "74", "DATE", "that year" ] } ], [ { "head": [ "12", "14", "PRODUCT", "Schuberth RF1" ], "tail": [ "1", "3", "PERSON", "Felipe Massa" ] } ], [ { "head": [ "12", "14", "PRODUCT", "Schuberth RF1" ], "tail": [ "27", "28", "GPE", "Valencia" ] } ], [ { "head": [ "12", "14", "PRODUCT", "Schuberth RF1" ], "tail": [ "32", "33", "ORG", "Ferrari" ] } ], [ { "head": [ "12", "14", "PRODUCT", "Schuberth RF1" ], "tail": [ "59", "60", "PERSON", "Massa" ] } ], [ { "head": [ "12", "14", "PRODUCT", "Schuberth RF1" ], "tail": [ "66", "67", "ORG", "Scuderia" ] } ], [ { "head": [ "19", "20", "NORP", "Brazilian" ], "tail": [ "1", "3", "PERSON", "Felipe Massa" ] } ], [ { "head": [ "19", "20", "NORP", "Brazilian" ], "tail": [ "27", "28", "GPE", "Valencia" ] } ], [ { "head": [ "19", "20", "NORP", "Brazilian" ], "tail": [ "32", "33", "ORG", "Ferrari" ] } ], [ { "head": [ "19", "20", "NORP", "Brazilian" ], "tail": [ "59", "60", "PERSON", "Massa" ] } ], [ { "head": [ "19", "20", "NORP", "Brazilian" ], "tail": [ "66", "67", "ORG", "Scuderia" ] } ], [ { "head": [ "23", "24", "DATE", "2008" ], "tail": [ "1", "3", "PERSON", "Felipe Massa" ] } ], [ { "head": [ "23", "24", "DATE", "2008" ], "tail": [ "27", "28", "GPE", "Valencia" ] } ], [ { "head": [ "23", "24", "DATE", "2008" ], "tail": [ "32", "33", "ORG", "Ferrari" ] } ], [ { "head": [ "23", "24", "DATE", "2008" ], "tail": [ "59", "60", "PERSON", "Massa" ] } ], [ { "head": [ "23", "24", "DATE", "2008" ], "tail": [ "66", "67", "ORG", "Scuderia" ] } ], [ { "head": [ "24", "26", "EVENT", "European GP" ], "tail": [ "1", "3", "PERSON", "Felipe Massa" ] } ], [ { "head": [ "24", "26", "EVENT", "European GP" ], "tail": [ "27", "28", "GPE", "Valencia" ] } ], [ { "head": [ "24", "26", "EVENT", "European GP" ], "tail": [ "32", "33", "ORG", "Ferrari" ] } ], [ { "head": [ "24", "26", "EVENT", "European GP" ], "tail": [ "59", "60", "PERSON", "Massa" ] } ], [ { "head": [ "24", "26", "EVENT", "European GP" ], "tail": [ "66", "67", "ORG", "Scuderia" ] } ], [ { "head": [ "27", "28", "GPE", "Valencia" ], "tail": [ "0", "1", "DATE", "2008" ] } ], [ { "head": [ "27", "28", "GPE", "Valencia" ], "tail": [ "1", "3", "PERSON", "Felipe Massa" ] } ], [ { "head": [ "27", "28", "GPE", "Valencia" ], "tail": [ "12", "14", "PRODUCT", "Schuberth RF1" ] } ], [ { "head": [ "27", "28", "GPE", "Valencia" ], "tail": [ "19", "20", "NORP", "Brazilian" ] } ], [ { "head": [ "27", "28", "GPE", "Valencia" ], "tail": [ "23", "24", "DATE", "2008" ] } ], [ { "head": [ "27", "28", "GPE", "Valencia" ], "tail": [ "24", "26", "EVENT", "European GP" ] } ], [ { "head": [ "27", "28", "GPE", "Valencia" ], "tail": [ "32", "33", "ORG", "Ferrari" ] } ], [ { "head": [ "27", "28", "GPE", "Valencia" ], "tail": [ "33", "34", "PRODUCT", "F2008" ] } ], [ { "head": [ "27", "28", "GPE", "Valencia" ], "tail": [ "38", "39", "CARDINAL", "269" ] } ], [ { "head": [ "27", "28", "GPE", "Valencia" ], "tail": [ "59", "60", "PERSON", "Massa" ] } ], [ { "head": [ "27", "28", "GPE", "Valencia" ], "tail": [ "66", "67", "ORG", "Scuderia" ] } ], [ { "head": [ "27", "28", "GPE", "Valencia" ], "tail": [ "68", "72", "WORK_OF_ART", "the Constructor’s Title" ] } ], [ { "head": [ "27", "28", "GPE", "Valencia" ], "tail": [ "72", "74", "DATE", "that year" ] } ], [ { "head": [ "32", "33", "ORG", "Ferrari" ], "tail": [ "0", "1", "DATE", "2008" ] } ], [ { "head": [ "32", "33", "ORG", "Ferrari" ], "tail": [ "1", "3", "PERSON", "Felipe Massa" ] } ], [ { "head": [ "32", "33", "ORG", "Ferrari" ], "tail": [ "12", "14", "PRODUCT", "Schuberth RF1" ] } ], [ { "head": [ "32", "33", "ORG", "Ferrari" ], "tail": [ "19", "20", "NORP", "Brazilian" ] } ], [ { "head": [ "32", "33", "ORG", "Ferrari" ], "tail": [ "23", "24", "DATE", "2008" ] } ], [ { "head": [ "32", "33", "ORG", "Ferrari" ], "tail": [ "24", "26", "EVENT", "European GP" ] } ], [ { "head": [ "32", "33", "ORG", "Ferrari" ], "tail": [ "27", "28", "GPE", "Valencia" ] } ], [ { "head": [ "32", "33", "ORG", "Ferrari" ], "tail": [ "33", "34", "PRODUCT", "F2008" ] } ], [ { "head": [ "32", "33", "ORG", "Ferrari" ], "tail": [ "38", "39", "CARDINAL", "269" ] } ], [ { "head": [ "32", "33", "ORG", "Ferrari" ], "tail": [ "59", "60", "PERSON", "Massa" ] } ], [ { "head": [ "32", "33", "ORG", "Ferrari" ], "tail": [ "66", "67", "ORG", "Scuderia" ] } ], [ { "head": [ "32", "33", "ORG", "Ferrari" ], "tail": [ "68", "72", "WORK_OF_ART", "the Constructor’s Title" ] } ], [ { "head": [ "32", "33", "ORG", "Ferrari" ], "tail": [ "72", "74", "DATE", "that year" ] } ], [ { "head": [ "33", "34", "PRODUCT", "F2008" ], "tail": [ "1", "3", "PERSON", "Felipe Massa" ] } ], [ { "head": [ "33", "34", "PRODUCT", "F2008" ], "tail": [ "27", "28", "GPE", "Valencia" ] } ], [ { "head": [ "33", "34", "PRODUCT", "F2008" ], "tail": [ "32", "33", "ORG", "Ferrari" ] } ], [ { "head": [ "33", "34", "PRODUCT", "F2008" ], "tail": [ "59", "60", "PERSON", "Massa" ] } ], [ { "head": [ "33", "34", "PRODUCT", "F2008" ], "tail": [ "66", "67", "ORG", "Scuderia" ] } ], [ { "head": [ "38", "39", "CARDINAL", "269" ], "tail": [ "1", "3", "PERSON", "Felipe Massa" ] } ], [ { "head": [ "38", "39", "CARDINAL", "269" ], "tail": [ "27", "28", "GPE", "Valencia" ] } ], [ { "head": [ "38", "39", "CARDINAL", "269" ], "tail": [ "32", "33", "ORG", "Ferrari" ] } ], [ { "head": [ "38", "39", "CARDINAL", "269" ], "tail": [ "59", "60", "PERSON", "Massa" ] } ], [ { "head": [ "38", "39", "CARDINAL", "269" ], "tail": [ "66", "67", "ORG", "Scuderia" ] } ], [ { "head": [ "59", "60", "PERSON", "Massa" ], "tail": [ "0", "1", "DATE", "2008" ] } ], [ { "head": [ "59", "60", "PERSON", "Massa" ], "tail": [ "1", "3", "PERSON", "Felipe Massa" ] } ], [ { "head": [ "59", "60", "PERSON", "Massa" ], "tail": [ "12", "14", "PRODUCT", "Schuberth RF1" ] } ], [ { "head": [ "59", "60", "PERSON", "Massa" ], "tail": [ "19", "20", "NORP", "Brazilian" ] } ], [ { "head": [ "59", "60", "PERSON", "Massa" ], "tail": [ "23", "24", "DATE", "2008" ] } ], [ { "head": [ "59", "60", "PERSON", "Massa" ], "tail": [ "24", "26", "EVENT", "European GP" ] } ], [ { "head": [ "59", "60", "PERSON", "Massa" ], "tail": [ "27", "28", "GPE", "Valencia" ] } ], [ { "head": [ "59", "60", "PERSON", "Massa" ], "tail": [ "32", "33", "ORG", "Ferrari" ] } ], [ { "head": [ "59", "60", "PERSON", "Massa" ], "tail": [ "33", "34", "PRODUCT", "F2008" ] } ], [ { "head": [ "59", "60", "PERSON", "Massa" ], "tail": [ "38", "39", "CARDINAL", "269" ] } ], [ { "head": [ "59", "60", "PERSON", "Massa" ], "tail": [ "66", "67", "ORG", "Scuderia" ] } ], [ { "head": [ "59", "60", "PERSON", "Massa" ], "tail": [ "68", "72", "WORK_OF_ART", "the Constructor’s Title" ] } ], [ { "head": [ "59", "60", "PERSON", "Massa" ], "tail": [ "72", "74", "DATE", "that year" ] } ], [ { "head": [ "66", "67", "ORG", "Scuderia" ], "tail": [ "0", "1", "DATE", "2008" ] } ], [ { "head": [ "66", "67", "ORG", "Scuderia" ], "tail": [ "1", "3", "PERSON", "Felipe Massa" ] } ], [ { "head": [ "66", "67", "ORG", "Scuderia" ], "tail": [ "12", "14", "PRODUCT", "Schuberth RF1" ] } ], [ { "head": [ "66", "67", "ORG", "Scuderia" ], "tail": [ "19", "20", "NORP", "Brazilian" ] } ], [ { "head": [ "66", "67", "ORG", "Scuderia" ], "tail": [ "23", "24", "DATE", "2008" ] } ], [ { "head": [ "66", "67", "ORG", "Scuderia" ], "tail": [ "24", "26", "EVENT", "European GP" ] } ], [ { "head": [ "66", "67", "ORG", "Scuderia" ], "tail": [ "27", "28", "GPE", "Valencia" ] } ], [ { "head": [ "66", "67", "ORG", "Scuderia" ], "tail": [ "32", "33", "ORG", "Ferrari" ] } ], [ { "head": [ "66", "67", "ORG", "Scuderia" ], "tail": [ "33", "34", "PRODUCT", "F2008" ] } ], [ { "head": [ "66", "67", "ORG", "Scuderia" ], "tail": [ "38", "39", "CARDINAL", "269" ] } ], [ { "head": [ "66", "67", "ORG", "Scuderia" ], "tail": [ "59", "60", "PERSON", "Massa" ] } ], [ { "head": [ "66", "67", "ORG", "Scuderia" ], "tail": [ "68", "72", "WORK_OF_ART", "the Constructor’s Title" ] } ], [ { "head": [ "66", "67", "ORG", "Scuderia" ], "tail": [ "72", "74", "DATE", "that year" ] } ], [ { "head": [ "68", "72", "WORK_OF_ART", "the Constructor’s Title" ], "tail": [ "1", "3", "PERSON", "Felipe Massa" ] } ], [ { "head": [ "68", "72", "WORK_OF_ART", "the Constructor’s Title" ], "tail": [ "27", "28", "GPE", "Valencia" ] } ], [ { "head": [ "68", "72", "WORK_OF_ART", "the Constructor’s Title" ], "tail": [ "32", "33", "ORG", "Ferrari" ] } ], [ { "head": [ "68", "72", "WORK_OF_ART", "the Constructor’s Title" ], "tail": [ "59", "60", "PERSON", "Massa" ] } ], [ { "head": [ "68", "72", "WORK_OF_ART", "the Constructor’s Title" ], "tail": [ "66", "67", "ORG", "Scuderia" ] } ], [ { "head": [ "72", "74", "DATE", "that year" ], "tail": [ "1", "3", "PERSON", "Felipe Massa" ] } ], [ { "head": [ "72", "74", "DATE", "that year" ], "tail": [ "27", "28", "GPE", "Valencia" ] } ], [ { "head": [ "72", "74", "DATE", "that year" ], "tail": [ "32", "33", "ORG", "Ferrari" ] } ], [ { "head": [ "72", "74", "DATE", "that year" ], "tail": [ "59", "60", "PERSON", "Massa" ] } ], [ { "head": [ "72", "74", "DATE", "that year" ], "tail": [ "66", "67", "ORG", "Scuderia" ] } ] ]
[ " RACED_IN.", " RACE_AT", " RACED_FOR", " RACE_WINNER", " WON_BY\n\n Explanation:\n The text states that Felipe", " WORE_AT.", " OWNED_BY", " NATIONALITY", " WORE_AT.", " WORE", " RACED_AT", " RACED_FOR", " RACED_FOR\n\n Explanation:\n Felipe Massa r", " RACED_WITH", " IDENTICAL.", " RACED_FOR", " WON_TITLE", " WON_IN_YEAR", " OWNED_BY", " RACE_AT", " MANUFACTURED_BY", " OWNED_BY", " WON_BY\n\n Explanation:\n The text states that \"Sc", " RACED_FOR\n\n Explanation:\n The text states that Fel", " HOSTED_AT", " RACED_FOR", " NORP_OF\n or\n PERSON_IS_NORP\n", " RACE_FOR\n\n Explanation:\n The text states that Felipe", " RACE_WINNER", " RACE_AT", " RACED_FOR", " WIN\n\n Text: \n ['2008 Felipe Massa Ferr", " WON_BY\n\n Explanation:\n The text states that Felipe", " PARTICIPANT_IN", " LOCATION.\n\n Explanation:\n The European GP is located in", " HOSTED_BY", " RACED_AT", " WON_BY", " RACE_AT.", " RACED_FOR\n\n Explanation:\n The text states that Fel", " USED_FOR", " RACE_AT.", " RACE_AT.", " HOSTED_AT", " RACED_FOR", " RACE_WINNING_CAR", " RACE_HELD_BY_DRIVER", " RACED_FOR\n or\n WORE\n or\n USE", " WON_BY\n\n Explanation:\n The text states that 'Sc", " WIN_TITLE_FOR_TEAM", " YEARS_AGO", " RACE_WINNING_BY\n\n Explanation:\n The text states", " RACED_FOR", " MANUFACTURED_BY", " RACED_FOR", " RACE_WINNING_BY\n\n Explanation:\n The text states", " RACE_OF\n\n Explanation:\n The text states that Ferrari", " RACE_AT", " MANUFACTURED_BY", " OWNED_BY", " RACED_FOR\n\n Explanation:\n The text states that \"", " CONTAINS\n\n Explanation:\n The text states that \"The Sc", " WON_TITLE", " WON_IN_YEAR", " RACED_FOR\n\n Explanation:\n The text states that Fel", " RACE_OF\n\n Explanation:\n The head entity is the F", " RACE_WINNING_CAR_OF", " RACED_FOR\n\n Explanation:\n The text states that \"", " RACE_WINNING_TEAM", " RACED_FOR\n\n Explanation:\n The text states that Fel", " RACE_AT", " RACE_WINNING_CAR", " RACE_WINNER", " RACE_FOR\n\n Explanation:\n The text states that Felipe", " WORE_AT", " 'SELF'", " WEARS", " NATIONALITY", " WORE_AT", " RACED_AT", " RACED_AT", " RACED_FOR", " RACED_FOR\n # This relation indicates that the person (head) raced", " RACED_WITH", " WON_BY\n\n Explanation:\n The text states that \"Mass", " WON_TITLE_FOR\n\n Explanation:\n The text", " WON_IN_YEAR", " WON_BY\n\n Explanation:\n The text states that Scud", " RACED_FOR", " MANUFACTURED_BY", " TEAM_MEMBER", " WON_BY\n\n Explanation:\n The text states that Scud", " HOSTED_AT", " HOSTED_AT", " CONQUERED_BY", " PRODUCED_BY", " OWNED_BY", " RACED_FOR\n or\n DRIVER_FOR\n or\n", " WON_TITLE", " WON_TITLE", " WON_TITLE_FOR\n\n Explanation:\n The text", " HOSTED_AT", " WON_BY\n\n Explanation:\n The text states that \"F", " WON_TITLE_FOR\n\n Explanation:\n The text", " WON_BY\n\n Explanation:\n The text states that 'Sc", " WIN_RACE", " RACE_AT", " RACE_WINNER_OF", " WIN_YEAR", " WON_BY\n\n Explanation:\n The text states that 'F" ]
[ [ "0", "1", "DATE", "2008" ], [ "1", "3", "PERSON", "Felipe Massa" ], [ "12", "14", "PRODUCT", "Schuberth RF1" ], [ "19", "20", "NORP", "Brazilian" ], [ "23", "24", "DATE", "2008" ], [ "24", "26", "EVENT", "European GP" ], [ "27", "28", "GPE", "Valencia" ], [ "32", "33", "ORG", "Ferrari" ], [ "33", "34", "PRODUCT", "F2008" ], [ "38", "39", "CARDINAL", "269" ], [ "59", "60", "PERSON", "Massa" ], [ "66", "67", "ORG", "Scuderia" ], [ "68", "72", "WORK_OF_ART", "the Constructor’s Title" ], [ "72", "74", "DATE", "that year" ] ]
617
619
[ "by Forbes, Andy Chatterley — 23 January 2024\nA new report by consultancy firm Kearney, using MUSO piracy data, is calling on content owners to leverage piracy consumption data and see those who pirate as prospective customers.\nThe report claims that online video content piracy leads to revenue losses of $75 billion per year for the global media sector. This figure is projected to reach $125 billion by 2028, representing an annual growth rate of nearly 11 percent.\nThe report also outlines the three segments which make up the piracy market:\nUnashamed: people who knowingly consumer pirated content\nUnaware: people who might not realise they are pirating\nUnwilling: people who pirate because they don’t believe content is available in their market\nRead the full article here." ]
[ [ "by", "Forbes", ",", "Andy", "Chatterley", "—", "23", "January", "2024", "\n", "A", "new", "report", "by", "consultancy", "firm", "Kearney", ",", "using", "MUSO", "piracy", "data", ",", "is", "calling", "on", "content", "owners", "to", "leverage", "piracy", "consumption", "data", "and", "see", "those", "who", "pirate", "as", "prospective", "customers", ".", "\n", "The", "report", "claims", "that", "online", "video", "content", "piracy", "leads", "to", "revenue", "losses", "of", "$", "75", "billion", "per", "year", "for", "the", "global", "media", "sector", ".", "This", "figure", "is", "projected", "to", "reach", "$", "125", "billion", "by", "2028", ",", "representing", "an", "annual", "growth", "rate", "of", "nearly", "11", "percent", ".", "\n", "The", "report", "also", "outlines", "the", "three", "segments", "which", "make", "up", "the", "piracy", "market", ":", "\n", "Unashamed", ":", "people", "who", "knowingly", "consumer", "pirated", "content", "\n", "Unaware", ":", "people", "who", "might", "not", "realise", "they", "are", "pirating", "\n", "Unwilling", ":", "people", "who", "pirate", "because", "they", "do", "n’t", "believe", "content", "is", "available", "in", "their", "market", "\n", "Read", "the", "full", "article", "here", "." ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['by Forbes, Andy Chatterley — 23 January 2024\nA new report by consultancy firm Kearney, using MUSO piracy data, is calling on content owners to leverage piracy consumption data and see those who pirate as prospective customers.\nThe report claims that online video content piracy leads to revenue losses of $75 billion per year for the global media sector. This figure is projected to reach $125 billion by 2028, representing an annual growth rate of nearly 11 percent.\nThe report also outlines the three segments which make up the piracy market:\nUnashamed: people who knowingly consumer pirated content\nUnaware: people who might not realise they are pirating\nUnwilling: people who pirate because they don’t believe content is available in their market\nRead the full article here.'] Entities: [{'head': ['1', '2', 'ORG', 'Forbes'], 'tail': ['3', '5', 'PERSON', 'Andy Chatterley']}] Relation:
[ [ { "head": [ "1", "2", "ORG", "Forbes" ], "tail": [ "3", "5", "PERSON", "Andy Chatterley" ] } ], [ { "head": [ "1", "2", "ORG", "Forbes" ], "tail": [ "6", "9", "DATE", "23 January 2024" ] } ], [ { "head": [ "1", "2", "ORG", "Forbes" ], "tail": [ "16", "17", "ORG", "Kearney" ] } ], [ { "head": [ "1", "2", "ORG", "Forbes" ], "tail": [ "19", "20", "ORG", "MUSO" ] } ], [ { "head": [ "1", "2", "ORG", "Forbes" ], "tail": [ "56", "59", "MONEY", "$75 billion" ] } ], [ { "head": [ "1", "2", "ORG", "Forbes" ], "tail": [ "73", "76", "MONEY", "$125 billion" ] } ], [ { "head": [ "1", "2", "ORG", "Forbes" ], "tail": [ "77", "78", "DATE", "2028" ] } ], [ { "head": [ "1", "2", "ORG", "Forbes" ], "tail": [ "81", "82", "DATE", "annual" ] } ], [ { "head": [ "1", "2", "ORG", "Forbes" ], "tail": [ "85", "88", "PERCENT", "nearly 11 percent" ] } ], [ { "head": [ "1", "2", "ORG", "Forbes" ], "tail": [ "95", "96", "CARDINAL", "three" ] } ], [ { "head": [ "3", "5", "PERSON", "Andy Chatterley" ], "tail": [ "1", "2", "ORG", "Forbes" ] } ], [ { "head": [ "3", "5", "PERSON", "Andy Chatterley" ], "tail": [ "6", "9", "DATE", "23 January 2024" ] } ], [ { "head": [ "3", "5", "PERSON", "Andy Chatterley" ], "tail": [ "16", "17", "ORG", "Kearney" ] } ], [ { "head": [ "3", "5", "PERSON", "Andy Chatterley" ], "tail": [ "19", "20", "ORG", "MUSO" ] } ], [ { "head": [ "3", "5", "PERSON", "Andy Chatterley" ], "tail": [ "56", "59", "MONEY", "$75 billion" ] } ], [ { "head": [ "3", "5", "PERSON", "Andy Chatterley" ], "tail": [ "73", "76", "MONEY", "$125 billion" ] } ], [ { "head": [ "3", "5", "PERSON", "Andy Chatterley" ], "tail": [ "77", "78", "DATE", "2028" ] } ], [ { "head": [ "3", "5", "PERSON", "Andy Chatterley" ], "tail": [ "81", "82", "DATE", "annual" ] } ], [ { "head": [ "3", "5", "PERSON", "Andy Chatterley" ], "tail": [ "85", "88", "PERCENT", "nearly 11 percent" ] } ], [ { "head": [ "3", "5", "PERSON", "Andy Chatterley" ], "tail": [ "95", "96", "CARDINAL", "three" ] } ], [ { "head": [ "6", "9", "DATE", "23 January 2024" ], "tail": [ "1", "2", "ORG", "Forbes" ] } ], [ { "head": [ "6", "9", "DATE", "23 January 2024" ], "tail": [ "3", "5", "PERSON", "Andy Chatterley" ] } ], [ { "head": [ "6", "9", "DATE", "23 January 2024" ], "tail": [ "16", "17", "ORG", "Kearney" ] } ], [ { "head": [ "6", "9", "DATE", "23 January 2024" ], "tail": [ "19", "20", "ORG", "MUSO" ] } ], [ { "head": [ "16", "17", "ORG", "Kearney" ], "tail": [ "1", "2", "ORG", "Forbes" ] } ], [ { "head": [ "16", "17", "ORG", "Kearney" ], "tail": [ "3", "5", "PERSON", "Andy Chatterley" ] } ], [ { "head": [ "16", "17", "ORG", "Kearney" ], "tail": [ "6", "9", "DATE", "23 January 2024" ] } ], [ { "head": [ "16", "17", "ORG", "Kearney" ], "tail": [ "19", "20", "ORG", "MUSO" ] } ], [ { "head": [ "16", "17", "ORG", "Kearney" ], "tail": [ "56", "59", "MONEY", "$75 billion" ] } ], [ { "head": [ "16", "17", "ORG", "Kearney" ], "tail": [ "73", "76", "MONEY", "$125 billion" ] } ], [ { "head": [ "16", "17", "ORG", "Kearney" ], "tail": [ "77", "78", "DATE", "2028" ] } ], [ { "head": [ "16", "17", "ORG", "Kearney" ], "tail": [ "81", "82", "DATE", "annual" ] } ], [ { "head": [ "16", "17", "ORG", "Kearney" ], "tail": [ "85", "88", "PERCENT", "nearly 11 percent" ] } ], [ { "head": [ "16", "17", "ORG", "Kearney" ], "tail": [ "95", "96", "CARDINAL", "three" ] } ], [ { "head": [ "19", "20", "ORG", "MUSO" ], "tail": [ "1", "2", "ORG", "Forbes" ] } ], [ { "head": [ "19", "20", "ORG", "MUSO" ], "tail": [ "3", "5", "PERSON", "Andy Chatterley" ] } ], [ { "head": [ "19", "20", "ORG", "MUSO" ], "tail": [ "6", "9", "DATE", "23 January 2024" ] } ], [ { "head": [ "19", "20", "ORG", "MUSO" ], "tail": [ "16", "17", "ORG", "Kearney" ] } ], [ { "head": [ "19", "20", "ORG", "MUSO" ], "tail": [ "56", "59", "MONEY", "$75 billion" ] } ], [ { "head": [ "19", "20", "ORG", "MUSO" ], "tail": [ "73", "76", "MONEY", "$125 billion" ] } ], [ { "head": [ "19", "20", "ORG", "MUSO" ], "tail": [ "77", "78", "DATE", "2028" ] } ], [ { "head": [ "19", "20", "ORG", "MUSO" ], "tail": [ "81", "82", "DATE", "annual" ] } ], [ { "head": [ "19", "20", "ORG", "MUSO" ], "tail": [ "85", "88", "PERCENT", "nearly 11 percent" ] } ], [ { "head": [ "19", "20", "ORG", "MUSO" ], "tail": [ "95", "96", "CARDINAL", "three" ] } ], [ { "head": [ "56", "59", "MONEY", "$75 billion" ], "tail": [ "1", "2", "ORG", "Forbes" ] } ], [ { "head": [ "56", "59", "MONEY", "$75 billion" ], "tail": [ "3", "5", "PERSON", "Andy Chatterley" ] } ], [ { "head": [ "56", "59", "MONEY", "$75 billion" ], "tail": [ "16", "17", "ORG", "Kearney" ] } ], [ { "head": [ "56", "59", "MONEY", "$75 billion" ], "tail": [ "19", "20", "ORG", "MUSO" ] } ], [ { "head": [ "73", "76", "MONEY", "$125 billion" ], "tail": [ "1", "2", "ORG", "Forbes" ] } ], [ { "head": [ "73", "76", "MONEY", "$125 billion" ], "tail": [ "3", "5", "PERSON", "Andy Chatterley" ] } ], [ { "head": [ "73", "76", "MONEY", "$125 billion" ], "tail": [ "16", "17", "ORG", "Kearney" ] } ], [ { "head": [ "73", "76", "MONEY", "$125 billion" ], "tail": [ "19", "20", "ORG", "MUSO" ] } ], [ { "head": [ "77", "78", "DATE", "2028" ], "tail": [ "1", "2", "ORG", "Forbes" ] } ], [ { "head": [ "77", "78", "DATE", "2028" ], "tail": [ "3", "5", "PERSON", "Andy Chatterley" ] } ], [ { "head": [ "77", "78", "DATE", "2028" ], "tail": [ "16", "17", "ORG", "Kearney" ] } ], [ { "head": [ "77", "78", "DATE", "2028" ], "tail": [ "19", "20", "ORG", "MUSO" ] } ], [ { "head": [ "81", "82", "DATE", "annual" ], "tail": [ "1", "2", "ORG", "Forbes" ] } ], [ { "head": [ "81", "82", "DATE", "annual" ], "tail": [ "3", "5", "PERSON", "Andy Chatterley" ] } ], [ { "head": [ "81", "82", "DATE", "annual" ], "tail": [ "16", "17", "ORG", "Kearney" ] } ], [ { "head": [ "81", "82", "DATE", "annual" ], "tail": [ "19", "20", "ORG", "MUSO" ] } ], [ { "head": [ "85", "88", "PERCENT", "nearly 11 percent" ], "tail": [ "1", "2", "ORG", "Forbes" ] } ], [ { "head": [ "85", "88", "PERCENT", "nearly 11 percent" ], "tail": [ "3", "5", "PERSON", "Andy Chatterley" ] } ], [ { "head": [ "85", "88", "PERCENT", "nearly 11 percent" ], "tail": [ "16", "17", "ORG", "Kearney" ] } ], [ { "head": [ "85", "88", "PERCENT", "nearly 11 percent" ], "tail": [ "19", "20", "ORG", "MUSO" ] } ], [ { "head": [ "95", "96", "CARDINAL", "three" ], "tail": [ "1", "2", "ORG", "Forbes" ] } ], [ { "head": [ "95", "96", "CARDINAL", "three" ], "tail": [ "3", "5", "PERSON", "Andy Chatterley" ] } ], [ { "head": [ "95", "96", "CARDINAL", "three" ], "tail": [ "16", "17", "ORG", "Kearney" ] } ], [ { "head": [ "95", "96", "CARDINAL", "three" ], "tail": [ "19", "20", "ORG", "MUSO" ] } ] ]
[ " WRITTEN_BY", " PUBLISHED_ON", " PUBLISHED_BY", " PROVIDES_DATA", " REVENUE_LOSS", " REVENUE_LOSS", " PROJECTED_TO", " PUBLISHED_ON.", " GROWTH_RATE", " OUTLINES_SEGMENTS", " WRITES", " WROTE", " AUTHOR_OF\n OR:\n PUBLISHED_BY", " REPORTED_BY", " REVENUE_LOSS", " REVENUE_LOSS_FROM_PIRACY", " PROJECTED_TO", " WRITTEN_ABOUT", " GIVES_FIGURE", " WRITTEN_BY", " PUBLISHED_BY", " AUTHOR_OF", " PUBLISHED_BY", " PUBLISHED_BY", " PUBLISHED_BY", " REPORTED_BY", " PUBLISHED_ON", " PROVIDES_DATA", " REVENUE_LOSS", " ANNUAL_REVENUE", " PROJECTED_TO", " REPORTED_ANNUAL_GROWTH_RATE", " GROWTH_RATE", " OUTPUT: SEGMENTS_OF", " PUBLISHED_BY", " AUTHOR_OF", " PUBLISHED_ON", " PROVIDES_DATA", " REVENUE_LOSS", " REVENUE_LOSS_FROM_PIRACY", " PROJECTED_TO_BE_IN_THE_FUTURE", " PRODUCED_REPORT_WITH_DATE", " GROWTH_RATE", " SEGMENTS_OF_PIRACY_MARKET", " REVENUE_LOSS_FROM\n\n Explanation:\n The", " REVENUE_LOSS_CAUSED_BY", " REVENUE_LOSS_FROM\n\n Entities: \n [", " REVENUE_LOSS_FROM\n\n Entities: \n [", " REVENUE_FROM_ORGANIZATION", " REVENUE_FROM_ENTITY\n\n Explanation:\n The", " PROJECTED_REVENUE", " ANNUAL_REVENUE_GROWTH_RATE_FOR_ORG", " PUBLISHED_BY", " WROTE", " PUBLISHED_REPORT", " PROVIDES_DATA", " PUBLISHED_BY", " WROTE", " REPORTED_BY", " PROVIDES_DATA", " ANNUAL_GROWTH_RATE", " WRITTEN_BY", " ANNUAL_GROWTH_RATE", " ANNUAL_GROWTH_RATE", " PUBLISHED_BY", " OUTPUT: WRITES_REPORT", " REPORTED_BY", " SEGMENTS_OF" ]
[ [ "1", "2", "ORG", "Forbes" ], [ "3", "5", "PERSON", "Andy Chatterley" ], [ "6", "9", "DATE", "23 January 2024" ], [ "16", "17", "ORG", "Kearney" ], [ "19", "20", "ORG", "MUSO" ], [ "56", "59", "MONEY", "$75 billion" ], [ "73", "76", "MONEY", "$125 billion" ], [ "77", "78", "DATE", "2028" ], [ "81", "82", "DATE", "annual" ], [ "85", "88", "PERCENT", "nearly 11 percent" ], [ "95", "96", "CARDINAL", "three" ] ]
618
620
[ "Check out Desiree’s take on the February sketch featuring Kaisercraft\nSUPPLIES: Kaisercraft patterned paper and die cuts, Riff Raff Design chipboard, May Arts Ribbon, DCWV adhesive fabric, Dollar Store sticky felt hearts, Tim Holtz metallic trinket, acrylic gesso, Beacon Adhesives.\nDesiree based her layout on this sketch.\nWe would love to see your take on our monthly sketchy challenge! CLICK HERE to join the fun!\nHave a wonderful week!" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Check out Desiree’s take on the February sketch featuring Kaisercraft\nSUPPLIES: Kaisercraft patterned paper and die cuts, Riff Raff Design chipboard, May Arts Ribbon, DCWV adhesive fabric, Dollar Store sticky felt hearts, Tim Holtz metallic trinket, acrylic gesso, Beacon Adhesives.\nDesiree based her layout on this sketch.\nWe would love to see your take on our monthly sketchy challenge! CLICK HERE to join the fun!\nHave a wonderful week!'] Entities: [{'head': ['2', '3', 'PERSON', 'Desiree'], 'tail': ['7', '8', 'DATE', 'February']}] Relation:
[ [ { "head": [ "2", "3", "PERSON", "Desiree" ], "tail": [ "7", "8", "DATE", "February" ] } ], [ { "head": [ "2", "3", "PERSON", "Desiree" ], "tail": [ "10", "11", "ORG", "Kaisercraft" ] } ], [ { "head": [ "2", "3", "PERSON", "Desiree" ], "tail": [ "14", "15", "ORG", "Kaisercraft" ] } ], [ { "head": [ "2", "3", "PERSON", "Desiree" ], "tail": [ "21", "24", "ORG", "Riff Raff Design" ] } ], [ { "head": [ "2", "3", "PERSON", "Desiree" ], "tail": [ "26", "28", "ORG", "May Arts" ] } ], [ { "head": [ "2", "3", "PERSON", "Desiree" ], "tail": [ "34", "36", "ORG", "Dollar Store" ] } ], [ { "head": [ "2", "3", "PERSON", "Desiree" ], "tail": [ "40", "42", "ORG", "Tim Holtz" ] } ], [ { "head": [ "2", "3", "PERSON", "Desiree" ], "tail": [ "48", "50", "ORG", "Beacon Adhesives" ] } ], [ { "head": [ "2", "3", "PERSON", "Desiree" ], "tail": [ "52", "53", "PERSON", "Desiree" ] } ], [ { "head": [ "2", "3", "PERSON", "Desiree" ], "tail": [ "70", "71", "DATE", "monthly" ] } ], [ { "head": [ "2", "3", "PERSON", "Desiree" ], "tail": [ "83", "86", "DATE", "a wonderful week" ] } ], [ { "head": [ "7", "8", "DATE", "February" ], "tail": [ "2", "3", "PERSON", "Desiree" ] } ], [ { "head": [ "7", "8", "DATE", "February" ], "tail": [ "10", "11", "ORG", "Kaisercraft" ] } ], [ { "head": [ "7", "8", "DATE", "February" ], "tail": [ "14", "15", "ORG", "Kaisercraft" ] } ], [ { "head": [ "7", "8", "DATE", "February" ], "tail": [ "21", "24", "ORG", "Riff Raff Design" ] } ], [ { "head": [ "7", "8", "DATE", "February" ], "tail": [ "26", "28", "ORG", "May Arts" ] } ], [ { "head": [ "7", "8", "DATE", "February" ], "tail": [ "34", "36", "ORG", "Dollar Store" ] } ], [ { "head": [ "7", "8", "DATE", "February" ], "tail": [ "40", "42", "ORG", "Tim Holtz" ] } ], [ { "head": [ "7", "8", "DATE", "February" ], "tail": [ "48", "50", "ORG", "Beacon Adhesives" ] } ], [ { "head": [ "7", "8", "DATE", "February" ], "tail": [ "52", "53", "PERSON", "Desiree" ] } ], [ { "head": [ "10", "11", "ORG", "Kaisercraft" ], "tail": [ "2", "3", "PERSON", "Desiree" ] } ], [ { "head": [ "10", "11", "ORG", "Kaisercraft" ], "tail": [ "7", "8", "DATE", "February" ] } ], [ { "head": [ "10", "11", "ORG", "Kaisercraft" ], "tail": [ "14", "15", "ORG", "Kaisercraft" ] } ], [ { "head": [ "10", "11", "ORG", "Kaisercraft" ], "tail": [ "21", "24", "ORG", "Riff Raff Design" ] } ], [ { "head": [ "10", "11", "ORG", "Kaisercraft" ], "tail": [ "26", "28", "ORG", "May Arts" ] } ], [ { "head": [ "10", "11", "ORG", "Kaisercraft" ], "tail": [ "34", "36", "ORG", "Dollar Store" ] } ], [ { "head": [ "10", "11", "ORG", "Kaisercraft" ], "tail": [ "40", "42", "ORG", "Tim Holtz" ] } ], [ { "head": [ "10", "11", "ORG", "Kaisercraft" ], "tail": [ "48", "50", "ORG", "Beacon Adhesives" ] } ], [ { "head": [ "10", "11", "ORG", "Kaisercraft" ], "tail": [ "52", "53", "PERSON", "Desiree" ] } ], [ { "head": [ "10", "11", "ORG", "Kaisercraft" ], "tail": [ "70", "71", "DATE", "monthly" ] } ], [ { "head": [ "10", "11", "ORG", "Kaisercraft" ], "tail": [ "83", "86", "DATE", "a wonderful week" ] } ], [ { "head": [ "14", "15", "ORG", "Kaisercraft" ], "tail": [ "2", "3", "PERSON", "Desiree" ] } ], [ { "head": [ "14", "15", "ORG", "Kaisercraft" ], "tail": [ "7", "8", "DATE", "February" ] } ], [ { "head": [ "14", "15", "ORG", "Kaisercraft" ], "tail": [ "10", "11", "ORG", "Kaisercraft" ] } ], [ { "head": [ "14", "15", "ORG", "Kaisercraft" ], "tail": [ "21", "24", "ORG", "Riff Raff Design" ] } ], [ { "head": [ "14", "15", "ORG", "Kaisercraft" ], "tail": [ "26", "28", "ORG", "May Arts" ] } ], [ { "head": [ "14", "15", "ORG", "Kaisercraft" ], "tail": [ "34", "36", "ORG", "Dollar Store" ] } ], [ { "head": [ "14", "15", "ORG", "Kaisercraft" ], "tail": [ "40", "42", "ORG", "Tim Holtz" ] } ], [ { "head": [ "14", "15", "ORG", "Kaisercraft" ], "tail": [ "48", "50", "ORG", "Beacon Adhesives" ] } ], [ { "head": [ "14", "15", "ORG", "Kaisercraft" ], "tail": [ "52", "53", "PERSON", "Desiree" ] } ], [ { "head": [ "14", "15", "ORG", "Kaisercraft" ], "tail": [ "70", "71", "DATE", "monthly" ] } ], [ { "head": [ "14", "15", "ORG", "Kaisercraft" ], "tail": [ "83", "86", "DATE", "a wonderful week" ] } ], [ { "head": [ "21", "24", "ORG", "Riff Raff Design" ], "tail": [ "2", "3", "PERSON", "Desiree" ] } ], [ { "head": [ "21", "24", "ORG", "Riff Raff Design" ], "tail": [ "7", "8", "DATE", "February" ] } ], [ { "head": [ "21", "24", "ORG", "Riff Raff Design" ], "tail": [ "10", "11", "ORG", "Kaisercraft" ] } ], [ { "head": [ "21", "24", "ORG", "Riff Raff Design" ], "tail": [ "14", "15", "ORG", "Kaisercraft" ] } ], [ { "head": [ "21", "24", "ORG", "Riff Raff Design" ], "tail": [ "26", "28", "ORG", "May Arts" ] } ], [ { "head": [ "21", "24", "ORG", "Riff Raff Design" ], "tail": [ "34", "36", "ORG", "Dollar Store" ] } ], [ { "head": [ "21", "24", "ORG", "Riff Raff Design" ], "tail": [ "40", "42", "ORG", "Tim Holtz" ] } ], [ { "head": [ "21", "24", "ORG", "Riff Raff Design" ], "tail": [ "48", "50", "ORG", "Beacon Adhesives" ] } ], [ { "head": [ "21", "24", "ORG", "Riff Raff Design" ], "tail": [ "52", "53", "PERSON", "Desiree" ] } ], [ { "head": [ "21", "24", "ORG", "Riff Raff Design" ], "tail": [ "70", "71", "DATE", "monthly" ] } ], [ { "head": [ "21", "24", "ORG", "Riff Raff Design" ], "tail": [ "83", "86", "DATE", "a wonderful week" ] } ], [ { "head": [ "26", "28", "ORG", "May Arts" ], "tail": [ "2", "3", "PERSON", "Desiree" ] } ], [ { "head": [ "26", "28", "ORG", "May Arts" ], "tail": [ "7", "8", "DATE", "February" ] } ], [ { "head": [ "26", "28", "ORG", "May Arts" ], "tail": [ "10", "11", "ORG", "Kaisercraft" ] } ], [ { "head": [ "26", "28", "ORG", "May Arts" ], "tail": [ "14", "15", "ORG", "Kaisercraft" ] } ], [ { "head": [ "26", "28", "ORG", "May Arts" ], "tail": [ "21", "24", "ORG", "Riff Raff Design" ] } ], [ { "head": [ "26", "28", "ORG", "May Arts" ], "tail": [ "34", "36", "ORG", "Dollar Store" ] } ], [ { "head": [ "26", "28", "ORG", "May Arts" ], "tail": [ "40", "42", "ORG", "Tim Holtz" ] } ], [ { "head": [ "26", "28", "ORG", "May Arts" ], "tail": [ "48", "50", "ORG", "Beacon Adhesives" ] } ], [ { "head": [ "26", "28", "ORG", "May Arts" ], "tail": [ "52", "53", "PERSON", "Desiree" ] } ], [ { "head": [ "26", "28", "ORG", "May Arts" ], "tail": [ "70", "71", "DATE", "monthly" ] } ], [ { "head": [ "26", "28", "ORG", "May Arts" ], "tail": [ "83", "86", "DATE", "a wonderful week" ] } ], [ { "head": [ "34", "36", "ORG", "Dollar Store" ], "tail": [ "2", "3", "PERSON", "Desiree" ] } ], [ { "head": [ "34", "36", "ORG", "Dollar Store" ], "tail": [ "7", "8", "DATE", "February" ] } ], [ { "head": [ "34", "36", "ORG", "Dollar Store" ], "tail": [ "10", "11", "ORG", "Kaisercraft" ] } ], [ { "head": [ "34", "36", "ORG", "Dollar Store" ], "tail": [ "14", "15", "ORG", "Kaisercraft" ] } ], [ { "head": [ "34", "36", "ORG", "Dollar Store" ], "tail": [ "21", "24", "ORG", "Riff Raff Design" ] } ], [ { "head": [ "34", "36", "ORG", "Dollar Store" ], "tail": [ "26", "28", "ORG", "May Arts" ] } ], [ { "head": [ "34", "36", "ORG", "Dollar Store" ], "tail": [ "40", "42", "ORG", "Tim Holtz" ] } ], [ { "head": [ "34", "36", "ORG", "Dollar Store" ], "tail": [ "48", "50", "ORG", "Beacon Adhesives" ] } ], [ { "head": [ "34", "36", "ORG", "Dollar Store" ], "tail": [ "52", "53", "PERSON", "Desiree" ] } ], [ { "head": [ "34", "36", "ORG", "Dollar Store" ], "tail": [ "70", "71", "DATE", "monthly" ] } ], [ { "head": [ "34", "36", "ORG", "Dollar Store" ], "tail": [ "83", "86", "DATE", "a wonderful week" ] } ], [ { "head": [ "40", "42", "ORG", "Tim Holtz" ], "tail": [ "2", "3", "PERSON", "Desiree" ] } ], [ { "head": [ "40", "42", "ORG", "Tim Holtz" ], "tail": [ "7", "8", "DATE", "February" ] } ], [ { "head": [ "40", "42", "ORG", "Tim Holtz" ], "tail": [ "10", "11", "ORG", "Kaisercraft" ] } ], [ { "head": [ "40", "42", "ORG", "Tim Holtz" ], "tail": [ "14", "15", "ORG", "Kaisercraft" ] } ], [ { "head": [ "40", "42", "ORG", "Tim Holtz" ], "tail": [ "21", "24", "ORG", "Riff Raff Design" ] } ], [ { "head": [ "40", "42", "ORG", "Tim Holtz" ], "tail": [ "26", "28", "ORG", "May Arts" ] } ], [ { "head": [ "40", "42", "ORG", "Tim Holtz" ], "tail": [ "34", "36", "ORG", "Dollar Store" ] } ], [ { "head": [ "40", "42", "ORG", "Tim Holtz" ], "tail": [ "48", "50", "ORG", "Beacon Adhesives" ] } ], [ { "head": [ "40", "42", "ORG", "Tim Holtz" ], "tail": [ "52", "53", "PERSON", "Desiree" ] } ], [ { "head": [ "40", "42", "ORG", "Tim Holtz" ], "tail": [ "70", "71", "DATE", "monthly" ] } ], [ { "head": [ "40", "42", "ORG", "Tim Holtz" ], "tail": [ "83", "86", "DATE", "a wonderful week" ] } ], [ { "head": [ "48", "50", "ORG", "Beacon Adhesives" ], "tail": [ "2", "3", "PERSON", "Desiree" ] } ], [ { "head": [ "48", "50", "ORG", "Beacon Adhesives" ], "tail": [ "7", "8", "DATE", "February" ] } ], [ { "head": [ "48", "50", "ORG", "Beacon Adhesives" ], "tail": [ "10", "11", "ORG", "Kaisercraft" ] } ], [ { "head": [ "48", "50", "ORG", "Beacon Adhesives" ], "tail": [ "14", "15", "ORG", "Kaisercraft" ] } ], [ { "head": [ "48", "50", "ORG", "Beacon Adhesives" ], "tail": [ "21", "24", "ORG", "Riff Raff Design" ] } ], [ { "head": [ "48", "50", "ORG", "Beacon Adhesives" ], "tail": [ "26", "28", "ORG", "May Arts" ] } ], [ { "head": [ "48", "50", "ORG", "Beacon Adhesives" ], "tail": [ "34", "36", "ORG", "Dollar Store" ] } ], [ { "head": [ "48", "50", "ORG", "Beacon Adhesives" ], "tail": [ "40", "42", "ORG", "Tim Holtz" ] } ], [ { "head": [ "48", "50", "ORG", "Beacon Adhesives" ], "tail": [ "52", "53", "PERSON", "Desiree" ] } ], [ { "head": [ "48", "50", "ORG", "Beacon Adhesives" ], "tail": [ "70", "71", "DATE", "monthly" ] } ], [ { "head": [ "48", "50", "ORG", "Beacon Adhesives" ], "tail": [ "83", "86", "DATE", "a wonderful week" ] } ], [ { "head": [ "52", "53", "PERSON", "Desiree" ], "tail": [ "2", "3", "PERSON", "Desiree" ] } ], [ { "head": [ "52", "53", "PERSON", "Desiree" ], "tail": [ "7", "8", "DATE", "February" ] } ], [ { "head": [ "52", "53", "PERSON", "Desiree" ], "tail": [ "10", "11", "ORG", "Kaisercraft" ] } ], [ { "head": [ "52", "53", "PERSON", "Desiree" ], "tail": [ "14", "15", "ORG", "Kaisercraft" ] } ], [ { "head": [ "52", "53", "PERSON", "Desiree" ], "tail": [ "21", "24", "ORG", "Riff Raff Design" ] } ], [ { "head": [ "52", "53", "PERSON", "Desiree" ], "tail": [ "26", "28", "ORG", "May Arts" ] } ], [ { "head": [ "52", "53", "PERSON", "Desiree" ], "tail": [ "34", "36", "ORG", "Dollar Store" ] } ], [ { "head": [ "52", "53", "PERSON", "Desiree" ], "tail": [ "40", "42", "ORG", "Tim Holtz" ] } ], [ { "head": [ "52", "53", "PERSON", "Desiree" ], "tail": [ "48", "50", "ORG", "Beacon Adhesives" ] } ], [ { "head": [ "52", "53", "PERSON", "Desiree" ], "tail": [ "70", "71", "DATE", "monthly" ] } ], [ { "head": [ "52", "53", "PERSON", "Desiree" ], "tail": [ "83", "86", "DATE", "a wonderful week" ] } ], [ { "head": [ "70", "71", "DATE", "monthly" ], "tail": [ "2", "3", "PERSON", "Desiree" ] } ], [ { "head": [ "70", "71", "DATE", "monthly" ], "tail": [ "10", "11", "ORG", "Kaisercraft" ] } ], [ { "head": [ "70", "71", "DATE", "monthly" ], "tail": [ "14", "15", "ORG", "Kaisercraft" ] } ], [ { "head": [ "70", "71", "DATE", "monthly" ], "tail": [ "21", "24", "ORG", "Riff Raff Design" ] } ], [ { "head": [ "70", "71", "DATE", "monthly" ], "tail": [ "26", "28", "ORG", "May Arts" ] } ], [ { "head": [ "70", "71", "DATE", "monthly" ], "tail": [ "34", "36", "ORG", "Dollar Store" ] } ], [ { "head": [ "70", "71", "DATE", "monthly" ], "tail": [ "40", "42", "ORG", "Tim Holtz" ] } ], [ { "head": [ "70", "71", "DATE", "monthly" ], "tail": [ "48", "50", "ORG", "Beacon Adhesives" ] } ], [ { "head": [ "70", "71", "DATE", "monthly" ], "tail": [ "52", "53", "PERSON", "Desiree" ] } ], [ { "head": [ "83", "86", "DATE", "a wonderful week" ], "tail": [ "2", "3", "PERSON", "Desiree" ] } ], [ { "head": [ "83", "86", "DATE", "a wonderful week" ], "tail": [ "10", "11", "ORG", "Kaisercraft" ] } ], [ { "head": [ "83", "86", "DATE", "a wonderful week" ], "tail": [ "14", "15", "ORG", "Kaisercraft" ] } ], [ { "head": [ "83", "86", "DATE", "a wonderful week" ], "tail": [ "21", "24", "ORG", "Riff Raff Design" ] } ], [ { "head": [ "83", "86", "DATE", "a wonderful week" ], "tail": [ "26", "28", "ORG", "May Arts" ] } ], [ { "head": [ "83", "86", "DATE", "a wonderful week" ], "tail": [ "34", "36", "ORG", "Dollar Store" ] } ], [ { "head": [ "83", "86", "DATE", "a wonderful week" ], "tail": [ "40", "42", "ORG", "Tim Holtz" ] } ], [ { "head": [ "83", "86", "DATE", "a wonderful week" ], "tail": [ "48", "50", "ORG", "Beacon Adhesives" ] } ], [ { "head": [ "83", "86", "DATE", "a wonderful week" ], "tail": [ "52", "53", "PERSON", "Desiree" ] } ] ]
[ " BASED_ON", " BASED_ON", " BASED_ON", " USED_SUPPLIES_FROM", " USES_SUPPLIES_FROM", " USED_PRODUCT_FROM\n\n Explanation:\n Desiree", " USED_MATERIAL_FROM", " USED_PRODUCT", " DESCRIBED_BY", " BASED_ON", " WEEK_AFTER\n\n Explanation:\n The text states that", " BASED_ON", " BASED_ON", " BASED_ON", " DESIGNED_BY", " USED_BY", " PROVIDES\n\n Explanation:\n The text states that Desiree used", " DESCRIBES\n\n Explanation:\n The text states that Desire", " USED_BY", " BASED_ON", " BASED_ON", " THEME_OF\n\n Explanation:\n The text describes Desiree", " SUBJECT_OF\n\n Explanation:\n The text states that \"Des", " USED_BY", " USES_SUPPLIES", " USES_SUPPLIES_FROM", " USED_SUPPLIES_FROM", " SUPPLIED_BY", " BASED_ON", " PROVIDES_THEME_FOR\n\n Explanation:\n Kaiserc", " PROVIDES_CONTEXT_FOR\n\n Explanation:\n The text provides context", " CREATED_BY", " THEME_OF\n\n Explanation:\n The text states that Desire", " PROVIDES_SUPPLIES", " USED_BY", " USES_SUPPLIES", " USES_SUPPLIES_FROM", " USED_SUPPLIES_FROM", " USES_SUPPLIES", " BASED_ON", " PROVIDES_THEME", " PROVIDES_EVENT\n\n Explanation:\n Kaisercraft provides the", " USES_SUPPLIES_FROM", " SUBJECT_OF\n\n Explanation:\n The text states that \"Des", " SUPPLIED_BY", " SUPPLIED_BY", " SUPPLIED_BY", " USES_SUPPLIES_FROM", " USES_SUPPLIES_FROM", " SUPPLIED_BY", " USES_SUPPLIES_FROM", " PROVIDES_MATERIALS", " PROVIDES_SERVICE_TO\n\n Explanation:\n Riff Raff", " USED_BY", " PROVIDES_MATERIALS", " PROVIDES_SUPPLIES", " PROVIDES_SUPPLIES", " USES_SUPPLIES_FROM", " PROVIDES\n\n Explanation:\n The text mentions that May Arts provides", " PROVIDES\n\n Explanation:\n The text states that \"May Arts R", " PROVIDES", " USED_BY", " PROVIDES_MATERIALS", " PROVIDES_EVENT\n\n Explanation:\n The text mentions that '", " PROVIDES", " PROVIDES_MATERIALS_FOR\n\n Explanation:\n The", " PROVIDES\n\n Explanation:\n The text states that the Dollar Store", " PROVIDES_SUPPLIES", " PROVIDES_MATERIALS", " PROVIDES\n\n Explanation:\n The text states that the Dollar Store", " SUPPLIED_BY", " SUPPLIED_BY", " PROVIDES", " PROVIDES_MATERIALS", " PROVIDES_TIMEFRAME", " CREATED_BY", " THEME_OF\n\n Explanation:\n The text mentions that Des", " USED_SUPPLIES_FROM", " PROVIDES_SUPPLIES", " USES_SUPPLIES_FROM", " USES_SUPPLIES", " USES\n\n Explanation:\n The text states that \"Dollar Store", " PROVIDES", " CREATED_BY", " PROVIDES_FOR\n\n Explanation:\n The text mentions that Des", " WISHES_FOR\n OR\n ANNOUNCES\n OR", " USED_BY", " PROVIDES_MATERIALS_FOR\n\n Explanation:\n The", " PROVIDES_MATERIALS", " PROVIDES_SUPPLIES", " USES_SUPPLIES_FROM", " USES_SUPPLIES", " PROVIDES\n\n Explanation:\n The text states that \"Beacon Ad", " PROVIDES_MATERIALS", " SUPPLIED_BY", " PROVIDES", " PROVIDES_EVENT_FOR\n\n Explanation:\n The text mentions", " SELF_REFERENCE", " BASED_ON", " BASED_ON", " BASED_ON", " USED_PRODUCT_OF", " USES_SUPPLIES_FROM", " USED_MATERIAL_FROM\n\n Explanation:\n Desire", " USED_MATERIAL_FROM", " USES_PRODUCT", " CREATED_BY", " WEEK_AFTER\n\n Explanation:\n The text states that", " BASED_ON", " BASED_ON", " BASED_ON", " DESCRIBED_BY", " PROVIDES_MATERIALS", " PROVIDES\n\n Explanation:\n The text states that Desiree used", " BASED_ON", " PROVIDES", " BASED_ON", " CREATED_BY", " BASED_ON", " BASED_ON", " ORGANIZED_BY", " PROVIDES\n\n Explanation:\n The text mentions that May Arts provides", " PROVIDES\n\n Explanation:\n The text mentions that Desiree", " USED_BY", " PROVIDES", " DESCRIBED_BY" ]
[ [ "2", "3", "PERSON", "Desiree" ], [ "7", "8", "DATE", "February" ], [ "10", "11", "ORG", "Kaisercraft" ], [ "14", "15", "ORG", "Kaisercraft" ], [ "21", "24", "ORG", "Riff Raff Design" ], [ "26", "28", "ORG", "May Arts" ], [ "34", "36", "ORG", "Dollar Store" ], [ "40", "42", "ORG", "Tim Holtz" ], [ "48", "50", "ORG", "Beacon Adhesives" ], [ "52", "53", "PERSON", "Desiree" ], [ "70", "71", "DATE", "monthly" ], [ "83", "86", "DATE", "a wonderful week" ] ]
619
621
[ "Power, Swirling Emotions, Soaring Passion, Vast Soundscapes – these are only some of the words that come to my mind as I listen to the new Eleanora LP entitled Allure that comes out in May via our comrades over at Consouling Sounds. This record shows that this band is willing to bear it all to the world. It’s the spaces where their conviction collides with walls of fragile melody where the magic happens! CVLT Nation is thrilled to be sharing with you Eleanora’s new song “Menis” below…You can pre-order Allure HERE from Consouling Sounds.\nPhotography by Fleur Coevoet and the artwork cover by Ramskop" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Power, Swirling Emotions, Soaring Passion, Vast Soundscapes – these are only some of the words that come to my mind as I listen to the new Eleanora LP entitled Allure that comes out in May via our comrades over at Consouling Sounds. This record shows that this band is willing to bear it all to the world. It’s the spaces where their conviction collides with walls of fragile melody where the magic happens! CVLT Nation is thrilled to be sharing with you Eleanora’s new song “Menis” below…You can pre-order Allure HERE from Consouling Sounds.\nPhotography by Fleur Coevoet and the artwork cover by Ramskop'] Entities: [{'head': ['2', '4', 'WORK_OF_ART', 'Swirling Emotions'], 'tail': ['29', '30', 'PERSON', 'Eleanora']}] Relation:
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"WORK_OF_ART", "Vast Soundscapes" ] } ], [ { "head": [ "119", "120", "ORG", "Ramskop" ], "tail": [ "29", "30", "PERSON", "Eleanora" ] } ], [ { "head": [ "119", "120", "ORG", "Ramskop" ], "tail": [ "32", "33", "WORK_OF_ART", "Allure" ] } ], [ { "head": [ "119", "120", "ORG", "Ramskop" ], "tail": [ "37", "38", "DATE", "May" ] } ], [ { "head": [ "119", "120", "ORG", "Ramskop" ], "tail": [ "43", "45", "ORG", "Consouling Sounds" ] } ], [ { "head": [ "119", "120", "ORG", "Ramskop" ], "tail": [ "80", "82", "ORG", "CVLT Nation" ] } ], [ { "head": [ "119", "120", "ORG", "Ramskop" ], "tail": [ "89", "90", "PERSON", "Eleanora" ] } ], [ { "head": [ "119", "120", "ORG", "Ramskop" ], "tail": [ "94", "95", "WORK_OF_ART", "Menis" ] } ], [ { "head": [ "119", "120", "ORG", "Ramskop" ], "tail": [ "103", "104", "WORK_OF_ART", "Allure" ] } ], [ { "head": [ "119", "120", "ORG", "Ramskop" ], "tail": [ "106", "108", "ORG", "Consouling Sounds" ] } ], [ { "head": [ "119", "120", "ORG", "Ramskop" ], "tail": [ "112", "114", "PERSON", "Fleur Coevoet" ] } ] ]
[ " CREATED_BY", " RELEASED_BY", " SHARES_WITH", " CREATED_BY", " RELEASED_BY", " PHOTOGRAPHER_OF\n\n Explanation:\n The text", " CREATED_BY", " CREATED_BY", " RELEASED_BY", " SHARES_WITH", " CREATED_BY", " RELEASED_BY", " PHOTOGRAPHER_OF\n\n Explanation:\n The text", " CREATED_BY", " CREATED_BY", " DISTRIBUTED_BY", " SHARES_WITH", " CREATED_BY", " DISTRIBUTED_BY", " PHOTOGRAPHER_OF\n\n Explanation:\n The text", " CREATED_BY", " CREATED_BY", " CREATED_BY", " CREATED_BY", " CREATED_BY", " RELEASE_DATE", " RECORD_LABEL_FOR_ARTIST", " SHARES_WITH", " SELF_REFERENCE", " CREATED_BY", " CREATED_BY", " RECORD_LABEL_FOR_ARTIST", " PHOTOGRAPHER_OF", " ARTWORK_BY", " CREATED_BY", " DISTRIBUTED_BY", " SHARES", " CREATED_BY", " DISTRIBUTED_BY", " PHOTOGRAPHER_OF\n\n Explanation:\n The text", " ARTWORK_CREATOR", " RELEASE_MONTH_OF_ALBUM\n OR\n ALBUM", " RELEASES", " SHARES_NEWS_ABOUT", " RELEASE_MONTH_OF_ALBUM\n or\n ALBUM", " RELEASES\n\n Explanation:\n The text states that the new E", " PHOTOGRAPHER_OF", " CREATED_BY", " RELEASED_AT.\n This is the correct answer. The label 'RELEASE", " DISTRIBUTES", " DISTRIBUTES", " DISTRIBUTOR", " DISTRIBUTES", " RELEASE_MONTH", " DISTRIBUTES", " DISTRIBUTOR", " PUBLISHER_OF\n OR\n DISTRIBUTES\n\n ", " DISTRIBUTES", " DISTRIBUTOR", " PHOTOGRAPHER_OF", " PUBLISHER_OF\n\n Explanation:\n The text ment", " SHARED_WITH", " SHARES_WORK_OF_ART_WITH\n\n Explanation:\n", " SHARES_WORK_OF_ART_WITH", " SHARES_MUSIC_WITH", " SHARES_WORK_OF_ART", " PUBLISHES_ON\n\n Entities: \n [{'", " SHARES_WITH", " SHARES_MUSIC_WITH", " SHARED_WORK_OF_ART", " SHARES_WORK_OF_ART", " SHARES_WITH", " PHOTOGRAPHER_OF", " CREATED_BY", " CREATED_BY", " CREATED_BY", " CREATED_BY", " SAME_PERSON", " CREATED_BY", " RELEASE_DATE", " RECORD_LABEL_FOR_ARTIST", " SHARES_WITH", " CREATED_BY", " CREATED_BY", " RECORD_LABEL_FOR_ARTIST", " PHOTOGRAPHER_OF", " CREATED_BY", " CREATED_BY", " RECORD_LABEL_FOR_MUSICIAN_OR_BAND", " SHARED_BY", " CREATED_BY", " RECORD_LABEL_FOR_MUSIC_ARTIST", " PHOTOGRAPHER_OF\n\n Explanation:\n The text", " CREATED_BY", " CREATED_BY", " DISTRIBUTED_BY", " SHARES_WITH", " CREATED_BY", " DISTRIBUTED_BY", " CREATED_BY", " ARTWORK_CREATOR", " RELEASED_AT\n\n Explanation:\n The text mentions that", " RELEASED_AT\n\n Explanation:\n The text mentions that", " DISTRIBUTES", " DISTRIBUTOR", " DISTRIBUTES", " RELEASE_MONTH", " DISTRIBUTOR", " DISTRIBUTES", " DISTRIBUTOR", " RECORD_LABEL_FOR\n\n Explanation:\n The text ment", " DISTRIBUTES", " PHOTOGRAPHER_OF", " PUBLISHER_OF\n\n Explanation:\n The text ment", " CREATED_BY", " CREATED_BY", " CREATED_BY", " PHOTOGRAPHER_OF", " PHOTOGRAPHER_OF", " PHOTOGRAPHER_OF\n\n Entities: \n [{'", " PHOTOGRAPHER_OF\n\n Explanation:\n The text", " PHOTOGRAPHER_OF\n\n Explanation:\n The text", " PHOTOGRAPHER_OF", " PHOTOGRAPHER_OF", " PHOTOGRAPHER_OF\n\n Explanation:\n The text", " PHOTOGRAPHER_OF\n or\n CREATED_ARTWORK", " PHOTOGRAPHER_OF\n\n Explanation:\n The text", " CREATED_BY", " CREATED_BY", " CREATED_BY", " ARTWORK_BY", " CREATED_BY", " CREATES\n\n Explanation:\n The text mentions that the", " PRODUCED_BY", " ARTWORK_PRODUCER", " ARTWORK_BY", " CREATED_BY", " CREATED_BY", " PRODUCED_BY", " ARTWORK_BY" ]
[ [ "2", "4", "WORK_OF_ART", "Swirling Emotions" ], [ "5", "7", "WORK_OF_ART", "Soaring Passion" ], [ "8", "10", "WORK_OF_ART", "Vast Soundscapes" ], [ "29", "30", "PERSON", "Eleanora" ], [ "32", "33", "WORK_OF_ART", "Allure" ], [ "37", "38", "DATE", "May" ], [ "43", "45", "ORG", "Consouling Sounds" ], [ "80", "82", "ORG", "CVLT Nation" ], [ "89", "90", "PERSON", "Eleanora" ], [ "94", "95", "WORK_OF_ART", "Menis" ], [ "103", "104", "WORK_OF_ART", "Allure" ], [ "106", "108", "ORG", "Consouling Sounds" ], [ "112", "114", "PERSON", "Fleur Coevoet" ], [ "119", "120", "ORG", "Ramskop" ] ]
620
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[ "The place where I share career tips, positive psychology tools, stories, metaphors and more!\nLIFE & CAREER COACH\nYou're on the mailing list and I am thrilled!\nA confirmation email is on its way to you but check that naughty Junk inbox folder in case it has gobbled it up, and mark my email address as safe. x\nSubscribe to 'The Straight - talking Newsletter'\nSign up to a ray of sunshine in your inbox every Weds. I write about careers, creativity, psychology, business and life, and truly value each reader on my mailing list.\nLet's do this!\nCoaching the core of who you are so you can make long-term sustainable progress towards realising your potential.\nIs this the year you finally get a coach?\n@ Dina Grishin 2023\nTemplate designed by EM\nCustomized by iamrobifarkas.co.uk\n© Dina grishin" ]
[ [ "The", "place", "where", "I", "share", "career", "tips", ",", "positive", "psychology", "tools", ",", "stories", ",", "metaphors", "and", "more", "!", "\n", "LIFE", "&", "CAREER", "COACH", "\n", "You", "'re", "on", "the", "mailing", "list", "and", "I", "am", "thrilled", "!", "\n", "A", "confirmation", "email", "is", "on", "its", "way", "to", "you", "but", "check", "that", "naughty", "Junk", "inbox", "folder", "in", "case", "it", "has", "gobbled", "it", "up", ",", "and", "mark", "my", "email", "address", "as", "safe", ".", "x", "\n", "Subscribe", "to", "'", "The", "Straight", "-", "talking", "Newsletter", "'", "\n", "Sign", "up", "to", "a", "ray", "of", "sunshine", "in", "your", "inbox", "every", "Weds", ".", "I", "write", "about", "careers", ",", "creativity", ",", "psychology", ",", "business", "and", "life", ",", "and", "truly", "value", "each", "reader", "on", "my", "mailing", "list", ".", "\n", "Let", "'s", "do", "this", "!", "\n", "Coaching", "the", "core", "of", "who", "you", "are", "so", "you", "can", "make", "long", "-", "term", "sustainable", "progress", "towards", "realising", "your", "potential", ".", "\n", "Is", "this", "the", "year", "you", "finally", "get", "a", "coach", "?", "\n", "@", "Dina", "Grishin", "2023", "\n", "Template", "designed", "by", "EM", "\n", "Customized", "by", "iamrobifarkas.co.uk", "\n", "©", "Dina", "grishin" ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ["The place where I share career tips, positive psychology tools, stories, metaphors and more!\nLIFE & CAREER COACH\nYou're on the mailing list and I am thrilled!\nA confirmation email is on its way to you but check that naughty Junk inbox folder in case it has gobbled it up, and mark my email address as safe. x\nSubscribe to 'The Straight - talking Newsletter'\nSign up to a ray of sunshine in your inbox every Weds. I write about careers, creativity, psychology, business and life, and truly value each reader on my mailing list.\nLet's do this!\nCoaching the core of who you are so you can make long-term sustainable progress towards realising your potential.\nIs this the year you finally get a coach?\n@ Dina Grishin 2023\nTemplate designed by EM\nCustomized by iamrobifarkas.co.uk\n© Dina grishin"] Entities: [{'head': ['73', '78', 'WORK_OF_ART', 'The Straight - talking Newsletter'], 'tail': ['157', '159', 'PERSON', 'Dina Grishin']}] Relation:
[ [ { "head": [ "73", "78", "WORK_OF_ART", "The Straight - talking Newsletter" ], "tail": [ "157", "159", "PERSON", "Dina Grishin" ] } ], [ { "head": [ "73", "78", "WORK_OF_ART", "The Straight - talking Newsletter" ], "tail": [ "164", "165", "ORG", "EM" ] } ], [ { "head": [ "73", "78", "WORK_OF_ART", "The Straight - talking Newsletter" ], "tail": [ "171", "173", "PERSON", "Dina grishin" ] } ], [ { "head": [ "147", "149", "DATE", "the year" ], "tail": [ "157", "159", "PERSON", "Dina Grishin" ] } ], [ { "head": [ "147", "149", "DATE", "the year" ], "tail": [ "164", "165", "ORG", "EM" ] } ], [ { "head": [ "147", "149", "DATE", "the year" ], "tail": [ "171", "173", "PERSON", "Dina grishin" ] } ], [ { "head": [ "157", "159", "PERSON", "Dina Grishin" ], "tail": [ "73", "78", "WORK_OF_ART", "The Straight - talking Newsletter" ] } ], [ { "head": [ "157", "159", "PERSON", "Dina Grishin" ], "tail": [ "147", "149", "DATE", "the year" ] } ], [ { "head": [ "157", "159", "PERSON", "Dina Grishin" ], "tail": [ "164", "165", "ORG", "EM" ] } ], [ { "head": [ "157", "159", "PERSON", "Dina Grishin" ], "tail": [ "171", "173", "PERSON", "Dina grishin" ] } ], [ { "head": [ "164", "165", "ORG", "EM" ], "tail": [ "73", "78", "WORK_OF_ART", "The Straight - talking Newsletter" ] } ], [ { "head": [ "164", "165", "ORG", "EM" ], "tail": [ "147", "149", "DATE", "the year" ] } ], [ { "head": [ "164", "165", "ORG", "EM" ], "tail": [ "157", "159", "PERSON", "Dina Grishin" ] } ], [ { "head": [ "164", "165", "ORG", "EM" ], "tail": [ "171", "173", "PERSON", "Dina grishin" ] } ], [ { "head": [ "171", "173", "PERSON", "Dina grishin" ], "tail": [ "73", "78", "WORK_OF_ART", "The Straight - talking Newsletter" ] } ], [ { "head": [ "171", "173", "PERSON", "Dina grishin" ], "tail": [ "147", "149", "DATE", "the year" ] } ], [ { "head": [ "171", "173", "PERSON", "Dina grishin" ], "tail": [ "157", "159", "PERSON", "Dina Grishin" ] } ], [ { "head": [ "171", "173", "PERSON", "Dina grishin" ], "tail": [ "164", "165", "ORG", "EM" ] } ] ]
[ " PUBLISHER", " DESIGNED_BY", " PUBLISHER", " SUBJECT_OF\n\n Explanation:\n The text mentions that the", " DESIGNED_BY", " SUBJECT_OF\n\n Explanation:\n The text mentions \"Is", " CREATES \n\n Explanation:\n The text mentions that", " COACHED_IN_YEAR", " DESIGNED_BY", " SAME_PERSON", " DESIGNED_BY", " YEAR_OF\n\n Explanation:\n The text mentions \"Is", " DESIGNED_BY", " DESIGNED_BY", " CREATES \n\n Explanation:\n The text mentions that", " COACHED_IN_YEAR", " SAME_PERSON", " DESIGNED_BY" ]
[ [ "73", "78", "WORK_OF_ART", "The Straight - talking Newsletter" ], [ "147", "149", "DATE", "the year" ], [ "157", "159", "PERSON", "Dina Grishin" ], [ "164", "165", "ORG", "EM" ], [ "171", "173", "PERSON", "Dina grishin" ] ]
621
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[ "POP MARVEL SPIDER-MAN NO WAY HOME SPIDER-MAN ANDREW VIN FIG\nFrom Funko. Universes collide in your collection with an all new collection of Pop! Vinyl figures from Marvel's Spider-Man: No Way Home! Featuring a triple threat of Spideys, they're joined by fearsome villians from multiple universes, plus a little bit of magic for a spectacular, universe-shattering adventure. Each Pop! figure stands just under 4' tall and comes packaged in a collector-friendly window box, perfect for display in any Spider-Man collection!" ]
[ [ "POP", "MARVEL", "SPIDER", "-", "MAN", "NO", "WAY", "HOME", "SPIDER", "-", "MAN", "ANDREW", "VIN", "FIG", "\n", "From", "Funko", ".", "Universes", "collide", "in", "your", "collection", "with", "an", "all", "new", "collection", "of", "Pop", "!", "Vinyl", "figures", "from", "Marvel", "'s", "Spider", "-", "Man", ":", "No", "Way", "Home", "!", "Featuring", "a", "triple", "threat", "of", "Spideys", ",", "they", "'re", "joined", "by", "fearsome", "villians", "from", "multiple", "universes", ",", "plus", "a", "little", "bit", "of", "magic", "for", "a", "spectacular", ",", "universe", "-", "shattering", "adventure", ".", "Each", "Pop", "!", "figure", "stands", "just", "under", "4", "'", "tall", "and", "comes", "packaged", "in", "a", "collector", "-", "friendly", "window", "box", ",", "perfect", "for", "display", "in", "any", "Spider", "-", "Man", "collection", "!" ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ["POP MARVEL SPIDER-MAN NO WAY HOME SPIDER-MAN ANDREW VIN FIG\nFrom Funko. Universes collide in your collection with an all new collection of Pop! Vinyl figures from Marvel's Spider-Man: No Way Home! Featuring a triple threat of Spideys, they're joined by fearsome villians from multiple universes, plus a little bit of magic for a spectacular, universe-shattering adventure. Each Pop! figure stands just under 4' tall and comes packaged in a collector-friendly window box, perfect for display in any Spider-Man collection!"] Entities: [{'head': ['11', '14', 'PERSON', 'ANDREW VIN FIG'], 'tail': ['16', '17', 'ORG', 'Funko']}] Relation:
[ [ { "head": [ "11", "14", "PERSON", "ANDREW VIN FIG" ], "tail": [ "16", "17", "ORG", "Funko" ] } ], [ { "head": [ "11", "14", "PERSON", "ANDREW VIN FIG" ], "tail": [ "29", "30", "ORG", "Pop" ] } ], [ { "head": [ "11", "14", "PERSON", "ANDREW VIN FIG" ], "tail": [ "34", "35", "ORG", "Marvel" ] } ], [ { "head": [ "11", "14", "PERSON", "ANDREW VIN FIG" ], "tail": [ "36", "43", "WORK_OF_ART", "Spider-Man: No Way Home" ] } ], [ { "head": [ "11", "14", "PERSON", "ANDREW VIN FIG" ], "tail": [ "77", "78", "ORG", "Pop" ] } ], [ { "head": [ "11", "14", "PERSON", "ANDREW VIN FIG" ], "tail": [ "81", "85", "QUANTITY", "just under 4'" ] } ], [ { "head": [ "11", "14", "PERSON", "ANDREW VIN FIG" ], "tail": [ "102", "105", "PERSON", "Spider-Man" ] } ], [ { "head": [ "16", "17", "ORG", "Funko" ], "tail": [ "11", "14", "PERSON", "ANDREW VIN FIG" ] } ], [ { "head": [ "16", "17", "ORG", "Funko" ], "tail": [ "29", "30", "ORG", "Pop" ] } ], [ { "head": [ "16", "17", "ORG", "Funko" ], "tail": [ "34", "35", "ORG", "Marvel" ] } ], [ { "head": [ "16", "17", "ORG", "Funko" ], "tail": [ "36", "43", "WORK_OF_ART", "Spider-Man: No Way Home" ] } ], [ { "head": [ "16", "17", "ORG", "Funko" ], "tail": [ "77", "78", "ORG", "Pop" ] } ], [ { "head": [ "16", "17", "ORG", "Funko" ], "tail": [ "81", "85", "QUANTITY", "just under 4'" ] } ], [ { "head": [ "16", "17", "ORG", "Funko" ], "tail": [ "102", "105", "PERSON", "Spider-Man" ] } ], [ { "head": [ "29", "30", "ORG", "Pop" ], "tail": [ "11", "14", "PERSON", "ANDREW VIN FIG" ] } ], [ { "head": [ "29", "30", "ORG", "Pop" ], "tail": [ "16", "17", "ORG", "Funko" ] } ], [ { "head": [ "29", "30", "ORG", "Pop" ], "tail": [ "34", "35", "ORG", "Marvel" ] } ], [ { "head": [ "29", "30", "ORG", "Pop" ], "tail": [ "36", "43", "WORK_OF_ART", "Spider-Man: No Way Home" ] } ], [ { "head": [ "29", "30", "ORG", "Pop" ], "tail": [ "77", "78", "ORG", "Pop" ] } ], [ { "head": [ "29", "30", "ORG", "Pop" ], "tail": [ "81", "85", "QUANTITY", "just under 4'" ] } ], [ { "head": [ "29", "30", "ORG", "Pop" ], "tail": [ "102", "105", "PERSON", "Spider-Man" ] } ], [ { "head": [ "34", "35", "ORG", "Marvel" ], "tail": [ "11", "14", "PERSON", "ANDREW VIN FIG" ] } ], [ { "head": [ "34", "35", "ORG", "Marvel" ], "tail": [ "16", "17", "ORG", "Funko" ] } ], [ { "head": [ "34", "35", "ORG", "Marvel" ], "tail": [ "29", "30", "ORG", "Pop" ] } ], [ { "head": [ "34", "35", "ORG", "Marvel" ], "tail": [ "36", "43", "WORK_OF_ART", "Spider-Man: No Way Home" ] } ], [ { "head": [ "34", "35", "ORG", "Marvel" ], "tail": [ "77", "78", "ORG", "Pop" ] } ], [ { "head": [ "34", "35", "ORG", "Marvel" ], "tail": [ "81", "85", "QUANTITY", "just under 4'" ] } ], [ { "head": [ "34", "35", "ORG", "Marvel" ], "tail": [ "102", "105", "PERSON", "Spider-Man" ] } ], [ { "head": [ "36", "43", "WORK_OF_ART", "Spider-Man: No Way Home" ], "tail": [ "11", "14", "PERSON", "ANDREW VIN FIG" ] } ], [ { "head": [ "36", "43", "WORK_OF_ART", "Spider-Man: No Way Home" ], "tail": [ "16", "17", "ORG", "Funko" ] } ], [ { "head": [ "36", "43", "WORK_OF_ART", "Spider-Man: No Way Home" ], "tail": [ "29", "30", "ORG", "Pop" ] } ], [ { "head": [ "36", "43", "WORK_OF_ART", "Spider-Man: No Way Home" ], "tail": [ "34", "35", "ORG", "Marvel" ] } ], [ { "head": [ "36", "43", "WORK_OF_ART", "Spider-Man: No Way Home" ], "tail": [ "77", "78", "ORG", "Pop" ] } ], [ { "head": [ "36", "43", "WORK_OF_ART", "Spider-Man: No Way Home" ], "tail": [ "102", "105", "PERSON", "Spider-Man" ] } ], [ { "head": [ "77", "78", "ORG", "Pop" ], "tail": [ "11", "14", "PERSON", "ANDREW VIN FIG" ] } ], [ { "head": [ "77", "78", "ORG", "Pop" ], "tail": [ "16", "17", "ORG", "Funko" ] } ], [ { "head": [ "77", "78", "ORG", "Pop" ], "tail": [ "29", "30", "ORG", "Pop" ] } ], [ { "head": [ "77", "78", "ORG", "Pop" ], "tail": [ "34", "35", "ORG", "Marvel" ] } ], [ { "head": [ "77", "78", "ORG", "Pop" ], "tail": [ "36", "43", "WORK_OF_ART", "Spider-Man: No Way Home" ] } ], [ { "head": [ "77", "78", "ORG", "Pop" ], "tail": [ "81", "85", "QUANTITY", "just under 4'" ] } ], [ { "head": [ "77", "78", "ORG", "Pop" ], "tail": [ "102", "105", "PERSON", "Spider-Man" ] } ], [ { "head": [ "81", "85", "QUANTITY", "just under 4'" ], "tail": [ "11", "14", "PERSON", "ANDREW VIN FIG" ] } ], [ { "head": [ "81", "85", "QUANTITY", "just under 4'" ], "tail": [ "16", "17", "ORG", "Funko" ] } ], [ { "head": [ "81", "85", "QUANTITY", "just under 4'" ], "tail": [ "29", "30", "ORG", "Pop" ] } ], [ { "head": [ "81", "85", "QUANTITY", "just under 4'" ], "tail": [ "34", "35", "ORG", "Marvel" ] } ], [ { "head": [ "81", "85", "QUANTITY", "just under 4'" ], "tail": [ "77", "78", "ORG", "Pop" ] } ], [ { "head": [ "81", "85", "QUANTITY", "just under 4'" ], "tail": [ "102", "105", "PERSON", "Spider-Man" ] } ], [ { "head": [ "102", "105", "PERSON", "Spider-Man" ], "tail": [ "11", "14", "PERSON", "ANDREW VIN FIG" ] } ], [ { "head": [ "102", "105", "PERSON", "Spider-Man" ], "tail": [ "16", "17", "ORG", "Funko" ] } ], [ { "head": [ "102", "105", "PERSON", "Spider-Man" ], "tail": [ "29", "30", "ORG", "Pop" ] } ], [ { "head": [ "102", "105", "PERSON", "Spider-Man" ], "tail": [ "34", "35", "ORG", "Marvel" ] } ], [ { "head": [ "102", "105", "PERSON", "Spider-Man" ], "tail": [ "36", "43", "WORK_OF_ART", "Spider-Man: No Way Home" ] } ], [ { "head": [ "102", "105", "PERSON", "Spider-Man" ], "tail": [ "77", "78", "ORG", "Pop" ] } ], [ { "head": [ "102", "105", "PERSON", "Spider-Man" ], "tail": [ "81", "85", "QUANTITY", "just under 4'" ] } ] ]
[ " DISTRIBUTED_BY", " PRODUCES", " PRODUCES", " CREATED_BY", " PRODUCES", " HAS_DIMENSIONS", " CREATED_BY", " PRODUCES", " PRODUCES", " PRODUCES", " PRODUCES", " MANUFACTURER", " SIZE_OF\n\n Explanation:\n The text states that \"Each", " PRODUCES", " PRODUCES", " DISTRIBUTED_BY", " PRODUCES", " PRODUCES", " COLLECTION_MEMBER", " SIZE_OF\n\n Explanation:\n The text states that \"Each", " PRODUCES", " PRODUCES", " PRODUCES", " PRODUCES", " PRODUCED_BY", " PRODUCES", " HAS_DIMENSIONS", " PRODUCES", " CREATED_BY", " PRODUCER", " COLLECTIBLE_OF", " PRODUCES", " COLLECTIBLE_OF", " WORK_OF_ART_IS_COLLECTED_BY\n OR\n ", " PRODUCES", " MANUFACTURER", " COLLECTIBLES_OF\n OR COLLECTS\n OR HAS_ITEM", " PRODUCES", " PRODUCES", " HAS_DIMENSIONS", " PRODUCES", " PRODUCES", " PRODUCES", " SIZE_OF\n\n Explanation:\n The text states that \"Each", " PRODUCES", " SIZE_OF\n\n Explanation:\n The text states that \"Each", " HAS_DIMENSIONS", " CREATED_BY", " PRODUCES", " COLLECTS", " BELONGS_TO", " IS_PART_OF", " PRODUCES", " HAS_DIMENSIONS" ]
[ [ "11", "14", "PERSON", "ANDREW VIN FIG" ], [ "16", "17", "ORG", "Funko" ], [ "29", "30", "ORG", "Pop" ], [ "34", "35", "ORG", "Marvel" ], [ "36", "43", "WORK_OF_ART", "Spider-Man: No Way Home" ], [ "77", "78", "ORG", "Pop" ], [ "81", "85", "QUANTITY", "just under 4'" ], [ "102", "105", "PERSON", "Spider-Man" ] ]
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[ "PASTOR KEVIN WEST\nIn “Phantom Phobias” Pastor Kevin discusses three types of phobias that are unseen but which can create a spirit of fear that is not from God. This fear can paralyze your ability to fulfill your destiny. Jesus came to bring us life abundantly, so let your faith overrule fear. Live life!" ]
[ [ "PASTOR", "KEVIN", "WEST", "\n", "In", "“", "Phantom", "Phobias", "”", "Pastor", "Kevin", "discusses", "three", "types", "of", "phobias", "that", "are", "unseen", "but", "which", "can", "create", "a", "spirit", "of", "fear", "that", "is", "not", "from", "God", ".", "This", "fear", "can", "paralyze", "your", "ability", "to", "fulfill", "your", "destiny", ".", "Jesus", "came", "to", "bring", "us", "life", "abundantly", ",", "so", "let", "your", "faith", "overrule", "fear", ".", "Live", "life", "!" ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['PASTOR KEVIN WEST\nIn “Phantom Phobias” Pastor Kevin discusses three types of phobias that are unseen but which can create a spirit of fear that is not from God. This fear can paralyze your ability to fulfill your destiny. Jesus came to bring us life abundantly, so let your faith overrule fear. Live life!'] Entities: [{'head': ['1', '3', 'PERSON', 'KEVIN WEST'], 'tail': ['6', '8', 'WORK_OF_ART', 'Phantom Phobias']}] Relation:
[ [ { "head": [ "1", "3", "PERSON", "KEVIN WEST" ], "tail": [ "6", "8", "WORK_OF_ART", "Phantom Phobias" ] } ], [ { "head": [ "1", "3", "PERSON", "KEVIN WEST" ], "tail": [ "10", "11", "PERSON", "Kevin" ] } ], [ { "head": [ "1", "3", "PERSON", "KEVIN WEST" ], "tail": [ "12", "13", "CARDINAL", "three" ] } ], [ { "head": [ "1", "3", "PERSON", "KEVIN WEST" ], "tail": [ "44", "45", "PERSON", "Jesus" ] } ], [ { "head": [ "6", "8", "WORK_OF_ART", "Phantom Phobias" ], "tail": [ "1", "3", "PERSON", "KEVIN WEST" ] } ], [ { "head": [ "6", "8", "WORK_OF_ART", "Phantom Phobias" ], "tail": [ "10", "11", "PERSON", "Kevin" ] } ], [ { "head": [ "6", "8", "WORK_OF_ART", "Phantom Phobias" ], "tail": [ "44", "45", "PERSON", "Jesus" ] } ], [ { "head": [ "10", "11", "PERSON", "Kevin" ], "tail": [ "1", "3", "PERSON", "KEVIN WEST" ] } ], [ { "head": [ "10", "11", "PERSON", "Kevin" ], "tail": [ "6", "8", "WORK_OF_ART", "Phantom Phobias" ] } ], [ { "head": [ "10", "11", "PERSON", "Kevin" ], "tail": [ "12", "13", "CARDINAL", "three" ] } ], [ { "head": [ "10", "11", "PERSON", "Kevin" ], "tail": [ "44", "45", "PERSON", "Jesus" ] } ], [ { "head": [ "12", "13", "CARDINAL", "three" ], "tail": [ "1", "3", "PERSON", "KEVIN WEST" ] } ], [ { "head": [ "12", "13", "CARDINAL", "three" ], "tail": [ "10", "11", "PERSON", "Kevin" ] } ], [ { "head": [ "12", "13", "CARDINAL", "three" ], "tail": [ "44", "45", "PERSON", "Jesus" ] } ], [ { "head": [ "44", "45", "PERSON", "Jesus" ], "tail": [ "1", "3", "PERSON", "KEVIN WEST" ] } ], [ { "head": [ "44", "45", "PERSON", "Jesus" ], "tail": [ "6", "8", "WORK_OF_ART", "Phantom Phobias" ] } ], [ { "head": [ "44", "45", "PERSON", "Jesus" ], "tail": [ "10", "11", "PERSON", "Kevin" ] } ], [ { "head": [ "44", "45", "PERSON", "Jesus" ], "tail": [ "12", "13", "CARDINAL", "three" ] } ] ]
[ " DISCUES", " DISCUES", " DISCUES_TOPIC", " DISCUES_ABOUT", " DISCUES", " DISCUES", " DISCUES.", " DISCUES", " DISCUES", " DISCUES_TOPIC_WITH_NUMBER_OF_INSTANCES", " DISCUES_ABOUT", " DISCUES.", " DISCUES.", " DISCUES.", " DISCUSSES", " DISCUES", " DISCUSSES", " DISCUES_TOPIC_WITH_NUMBER_OF_INSTANCES" ]
[ [ "1", "3", "PERSON", "KEVIN WEST" ], [ "6", "8", "WORK_OF_ART", "Phantom Phobias" ], [ "10", "11", "PERSON", "Kevin" ], [ "12", "13", "CARDINAL", "three" ], [ "44", "45", "PERSON", "Jesus" ] ]
623
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[ "Fill out the contact form below and we will contact you shortly with more details.\nWe can’t wait to make your vision come alive, and celebrate your life & love with beauty & intention.\nWe will get in touch via email shortly.\nbrand + web design by madeline wiggins.\ncopyright 2023 fieldhouse floral artistry" ]
[ [ "Fill", "out", "the", "contact", "form", "below", "and", "we", "will", "contact", "you", "shortly", "with", "more", "details", ".", "\n", "We", "ca", "n’t", "wait", "to", "make", "your", "vision", "come", "alive", ",", "and", "celebrate", "your", "life", "&", "love", "with", "beauty", "&", "intention", ".", "\n", "We", "will", "get", "in", "touch", "via", "email", "shortly", ".", "\n", "brand", "+", "web", "design", "by", "madeline", "wiggins", ".", "\n", "copyright", "2023", "fieldhouse", "floral", "artistry" ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Fill out the contact form below and we will contact you shortly with more details.\nWe can’t wait to make your vision come alive, and celebrate your life & love with beauty & intention.\nWe will get in touch via email shortly.\nbrand + web design by madeline wiggins.\ncopyright 2023 fieldhouse floral artistry'] Entities: [{'head': ['55', '57', 'PERSON', 'madeline wiggins'], 'tail': ['60', '61', 'DATE', '2023']}] Relation:
[ [ { "head": [ "55", "57", "PERSON", "madeline wiggins" ], "tail": [ "60", "61", "DATE", "2023" ] } ], [ { "head": [ "55", "57", "PERSON", "madeline wiggins" ], "tail": [ "61", "64", "ORG", "fieldhouse floral artistry" ] } ], [ { "head": [ "60", "61", "DATE", "2023" ], "tail": [ "55", "57", "PERSON", "madeline wiggins" ] } ], [ { "head": [ "60", "61", "DATE", "2023" ], "tail": [ "61", "64", "ORG", "fieldhouse floral artistry" ] } ], [ { "head": [ "61", "64", "ORG", "fieldhouse floral artistry" ], "tail": [ "55", "57", "PERSON", "madeline wiggins" ] } ], [ { "head": [ "61", "64", "ORG", "fieldhouse floral artistry" ], "tail": [ "60", "61", "DATE", "2023" ] } ] ]
[ " COPYRIGHT_YEAR", " DESIGNED_BY", " DESIGNED_BY", " copyright", " DESIGNED_BY", " COPYRIGHT" ]
[ [ "55", "57", "PERSON", "madeline wiggins" ], [ "60", "61", "DATE", "2023" ], [ "61", "64", "ORG", "fieldhouse floral artistry" ] ]
624
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[ "Private bikini pics\nMy name is Inna. Age: 19. Join me into my secret garden of pleasures and let's have a taste of the nectar and the mystery.*I am a very good listener so don't worry about judgemental attitudes or personalitiSend massage\nTeachers tripped up by Facebook rants and bikini pics\nKylie Jenner's Bikini Pics\nCamille Kostek Drops Private String Bikini Pics, Gronk Looks Happy\nHot Bikini Bods Over 40\nAmazing blonde mom approaches her stair boy with the large tits fully exposed, ready to suck his endless penis aswellas shake it until it starts splashing sperm on her face VIA: YOUNG-ESCORT.NET WHORES IN DHAKA\nDescription: 4 weeks to a bikini body. Wwe alexa bliss bikini. Wwe alexa bliss bikini." ]
[ [ "Private", "bikini", "pics", "\n", "My", "name", "is", "Inna", ".", "Age", ":", "19", ".", "Join", "me", "into", "my", "secret", "garden", "of", "pleasures", "and", "let", "'s", "have", "a", "taste", "of", "the", "nectar", "and", "the", "mystery.*I", "am", "a", "very", "good", "listener", "so", "do", "n't", "worry", "about", "judgemental", "attitudes", "or", "personalitiSend", "massage", "\n", "Teachers", "tripped", "up", "by", "Facebook", "rants", "and", "bikini", "pics", "\n", "Kylie", "Jenner", "'s", "Bikini", "Pics", "\n", "Camille", "Kostek", "Drops", "Private", "String", "Bikini", "Pics", ",", "Gronk", "Looks", "Happy", "\n", "Hot", "Bikini", "Bods", "Over", "40", "\n", "Amazing", "blonde", "mom", "approaches", "her", "stair", "boy", "with", "the", "large", "tits", "fully", "exposed", ",", "ready", "to", "suck", "his", "endless", "penis", "aswellas", "shake", "it", "until", "it", "starts", "splashing", "sperm", "on", "her", "face", "VIA", ":", "YOUNG", "-", "ESCORT.NET", "WHORES", "IN", "DHAKA", "\n", "Description", ":", "4", "weeks", "to", "a", "bikini", "body", ".", "Wwe", "alexa", "bliss", "bikini", ".", "Wwe", "alexa", "bliss", "bikini", "." ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ["Private bikini pics\nMy name is Inna. Age: 19. Join me into my secret garden of pleasures and let's have a taste of the nectar and the mystery.*I am a very good listener so don't worry about judgemental attitudes or personalitiSend massage\nTeachers tripped up by Facebook rants and bikini pics\nKylie Jenner's Bikini Pics\nCamille Kostek Drops Private String Bikini Pics, Gronk Looks Happy\nHot Bikini Bods Over 40\nAmazing blonde mom approaches her stair boy with the large tits fully exposed, ready to suck his endless penis aswellas shake it until it starts splashing sperm on her face VIA: YOUNG-ESCORT.NET WHORES IN DHAKA\nDescription: 4 weeks to a bikini body. Wwe alexa bliss bikini. Wwe alexa bliss bikini."] Entities: [{'head': ['7', '8', 'PERSON', 'Inna'], 'tail': ['11', '12', 'DATE', '19']}] Relation:
[ [ { "head": [ "7", "8", "PERSON", "Inna" ], "tail": [ "11", "12", "DATE", "19" ] } ], [ { "head": [ "7", "8", "PERSON", "Inna" ], "tail": [ "59", "62", "PERSON", "Kylie Jenner's" ] } ], [ { "head": [ "7", "8", "PERSON", "Inna" ], "tail": [ "65", "67", "PERSON", "Camille Kostek" ] } ], [ { "head": [ "7", "8", "PERSON", "Inna" ], "tail": [ "81", "82", "DATE", "40" ] } ], [ { "head": [ "7", "8", "PERSON", "Inna" ], "tail": [ "121", "122", "GPE", "DHAKA" ] } ], [ { "head": [ "7", "8", "PERSON", "Inna" ], "tail": [ "125", "127", "DATE", "4 weeks" ] } ], [ { "head": [ "7", "8", "PERSON", "Inna" ], "tail": [ "133", "135", "PRODUCT", "alexa bliss" ] } ], [ { "head": [ "7", "8", "PERSON", "Inna" ], "tail": [ "138", "140", "PRODUCT", "alexa bliss" ] } ], [ { "head": [ "11", "12", "DATE", "19" ], "tail": [ "7", "8", "PERSON", "Inna" ] } ], [ { "head": [ "11", "12", "DATE", "19" ], "tail": [ "59", "62", "PERSON", "Kylie Jenner's" ] } ], [ { "head": [ "11", "12", "DATE", "19" ], "tail": [ "65", "67", "PERSON", "Camille Kostek" ] } ], [ { "head": [ "11", "12", "DATE", "19" ], "tail": [ "121", "122", "GPE", "DHAKA" ] } ], [ { "head": [ "59", "62", "PERSON", "Kylie Jenner's" ], "tail": [ "7", "8", "PERSON", "Inna" ] } ], [ { "head": [ "59", "62", "PERSON", "Kylie Jenner's" ], "tail": [ "11", "12", "DATE", "19" ] } ], [ { "head": [ "59", "62", "PERSON", "Kylie Jenner's" ], "tail": [ "65", "67", "PERSON", "Camille Kostek" ] } ], [ { "head": [ "59", "62", "PERSON", "Kylie Jenner's" ], "tail": [ "81", "82", "DATE", "40" ] } ], [ { "head": [ "59", "62", "PERSON", "Kylie Jenner's" ], "tail": [ "121", "122", "GPE", "DHAKA" ] } ], [ { "head": [ "59", "62", "PERSON", "Kylie Jenner's" ], "tail": [ "125", "127", "DATE", "4 weeks" ] } ], [ { "head": [ "59", "62", "PERSON", "Kylie Jenner's" ], "tail": [ "133", "135", "PRODUCT", "alexa bliss" ] } ], [ { "head": [ "59", "62", "PERSON", "Kylie Jenner's" ], "tail": [ "138", "140", "PRODUCT", "alexa bliss" ] } ], [ { "head": [ "65", "67", "PERSON", "Camille Kostek" ], "tail": [ "7", "8", "PERSON", "Inna" ] } ], [ { "head": [ "65", "67", "PERSON", "Camille Kostek" ], "tail": [ "11", "12", "DATE", "19" ] } ], [ { "head": [ "65", "67", "PERSON", "Camille Kostek" ], "tail": [ "59", "62", "PERSON", "Kylie Jenner's" ] } ], [ { "head": [ "65", "67", "PERSON", "Camille Kostek" ], "tail": [ "81", "82", "DATE", "40" ] } ], [ { "head": [ "65", "67", "PERSON", "Camille Kostek" ], "tail": [ "121", "122", "GPE", "DHAKA" ] } ], [ { "head": [ "65", "67", "PERSON", "Camille Kostek" ], "tail": [ "125", "127", "DATE", "4 weeks" ] } ], [ { "head": [ "65", "67", "PERSON", "Camille Kostek" ], "tail": [ "133", "135", "PRODUCT", "alexa bliss" ] } ], [ { "head": [ "65", "67", "PERSON", "Camille Kostek" ], "tail": [ "138", "140", "PRODUCT", "alexa bliss" ] } ], [ { "head": [ "81", "82", "DATE", "40" ], "tail": [ "7", "8", "PERSON", "Inna" ] } ], [ { "head": [ "81", "82", "DATE", "40" ], "tail": [ "59", "62", "PERSON", "Kylie Jenner's" ] } ], [ { "head": [ "81", "82", "DATE", "40" ], "tail": [ "65", "67", "PERSON", "Camille Kostek" ] } ], [ { "head": [ "81", "82", "DATE", "40" ], "tail": [ "121", "122", "GPE", "DHAKA" ] } ], [ { "head": [ "121", "122", "GPE", "DHAKA" ], "tail": [ "7", "8", "PERSON", "Inna" ] } ], [ { "head": [ "121", "122", "GPE", "DHAKA" ], "tail": [ "11", "12", "DATE", "19" ] } ], [ { "head": [ "121", "122", "GPE", "DHAKA" ], "tail": [ "59", "62", "PERSON", "Kylie Jenner's" ] } ], [ { "head": [ "121", "122", "GPE", "DHAKA" ], "tail": [ "65", "67", "PERSON", "Camille Kostek" ] } ], [ { "head": [ "121", "122", "GPE", "DHAKA" ], "tail": [ "81", "82", "DATE", "40" ] } ], [ { "head": [ "121", "122", "GPE", "DHAKA" ], "tail": [ "125", "127", "DATE", "4 weeks" ] } ], [ { "head": [ "121", "122", "GPE", "DHAKA" ], "tail": [ "133", "135", "PRODUCT", "alexa bliss" ] } ], [ { "head": [ "121", "122", "GPE", "DHAKA" ], "tail": [ "138", "140", "PRODUCT", "alexa bliss" ] } ], [ { "head": [ "125", "127", "DATE", "4 weeks" ], "tail": [ "7", "8", "PERSON", "Inna" ] } ], [ { "head": [ "125", "127", "DATE", "4 weeks" ], "tail": [ "59", "62", "PERSON", "Kylie Jenner's" ] } ], [ { "head": [ "125", "127", "DATE", "4 weeks" ], "tail": [ "65", "67", "PERSON", "Camille Kostek" ] } ], [ { "head": [ "125", "127", "DATE", "4 weeks" ], "tail": [ "121", "122", "GPE", "DHAKA" ] } ], [ { "head": [ "133", "135", "PRODUCT", "alexa bliss" ], "tail": [ "7", "8", "PERSON", "Inna" ] } ], [ { "head": [ "133", "135", "PRODUCT", "alexa bliss" ], "tail": [ "59", "62", "PERSON", "Kylie Jenner's" ] } ], [ { "head": [ "133", "135", "PRODUCT", "alexa bliss" ], "tail": [ "65", "67", "PERSON", "Camille Kostek" ] } ], [ { "head": [ "133", "135", "PRODUCT", "alexa bliss" ], "tail": [ "121", "122", "GPE", "DHAKA" ] } ], [ { "head": [ "138", "140", "PRODUCT", "alexa bliss" ], "tail": [ "7", "8", "PERSON", "Inna" ] } ], [ { "head": [ "138", "140", "PRODUCT", "alexa bliss" ], "tail": [ "59", "62", "PERSON", "Kylie Jenner's" ] } ], [ { "head": [ "138", "140", "PRODUCT", "alexa bliss" ], "tail": [ "65", "67", "PERSON", "Camille Kostek" ] } ], [ { "head": [ "138", "140", "PRODUCT", "alexa bliss" ], "tail": [ "121", "122", "GPE", "DHAKA" ] } ] ]
[ " AGE_OF", " SUBJECT_OF\n\n Explanation:\n Inna is the subject of", " FOLLOWED_BY", " FOUR_WEEKS_TO_BODY_AGE\n\n Explan", " WHORES_IN", " TIME_PERIOD_STARTS_WITH_EVENT\n or\n EVENT_", " MENTIONED_IN_TEXT", " MENTIONED_IN_TEXT", " AGE_OF", " AGES_FROM\n\n Explanation:\n The text mentions that \"", " AGED_BY", " NO_RELATION", " SUBJECT_OF\n\n Explanation:\n The text mentions \"K", " AGE_OF_PERSON", " CAUSES_PHOTO_OF", " OLDER_THAN", " NO_RELATION.", " TIME_OF_EVENT_4_WEEKS_AGO", " OWNER_OF\n\n Explanation:\n The text mentions \"", " OWNER_OF\n\n Explanation:\n The text mentions \"", " FOLLOWED_BY", " AGE_OF_PERSON", " SUBJECT_OF\n\n Explanation:\n The text mentions \"Cam", " OLDER_THAN", " APPEARS_IN", " TIME_OF_EVENT", " PERSON_IS_PRODUCER", " PERSON_IS_PRODUCER", " AGE_OF_PERSON", " BIRTH_YEAR_OF_HEAD_PERSON_IS_OLDER_", " PHOTOGRAPHED_BY\n\n Explanation:\n The text", " VIA", " WHORES_IN", " FOUR_WEEKS_TO_EVENT\n\n Explanation:\n ", " LOCATION_OF\n\n Explanation:\n The text mentions \"", " APPEARS_IN", " FOUR_WEEKS_TO_BODY_EVENT_IN_DHA", " TIME_PERIOD_STARTS_IN_LOCATION", " VIA", " PROVIDES_PRODUCT", " TIME_FROM\n\n Explanation:\n The text mentions \"4 weeks", " TIME_OF_EVENT_FOR_PERSON", " FOUR_WEEKS_TO_PERSON", " FOUR_WEEKS_TO_LOCATION", " FAN_OF", " SUBJECT_OF. This is because 'alexa bliss' is the head entity", " SUBJECT_OF. This is because 'alexa bliss' is the subject of", " VENUE_PRODUCT", " FAN_OF", " PRODUCT_OF\n\n Explanation:\n The text mentions \"W", " SUBJECT_OF. This is because 'alexa bliss' is the subject of", " WHOS_LOCATED_IN" ]
[ [ "7", "8", "PERSON", "Inna" ], [ "11", "12", "DATE", "19" ], [ "59", "62", "PERSON", "Kylie Jenner's" ], [ "65", "67", "PERSON", "Camille Kostek" ], [ "81", "82", "DATE", "40" ], [ "121", "122", "GPE", "DHAKA" ], [ "125", "127", "DATE", "4 weeks" ], [ "133", "135", "PRODUCT", "alexa bliss" ], [ "138", "140", "PRODUCT", "alexa bliss" ] ]
625
627
[ "Pacify lets take a look at the details about, developed by Shawn Hitchcock, published by Hitchcock Games. This game have is Action, Adventure, Casual, Indie, Strategy category.\nPacify Trainer Setup\nTrainer have a 6+ features and works in all variations of the sport.\nUnzip the zip file, run Trainer and open the game. You can open the settings by means of urgent the F7 key. Works in all versions." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Pacify lets take a look at the details about, developed by Shawn Hitchcock, published by Hitchcock Games. This game have is Action, Adventure, Casual, Indie, Strategy category.\nPacify Trainer Setup\nTrainer have a 6+ features and works in all variations of the sport.\nUnzip the zip file, run Trainer and open the game. You can open the settings by means of urgent the F7 key. Works in all versions.'] Entities: [{'head': ['0', '1', 'ORG', 'Pacify'], 'tail': ['12', '14', 'PERSON', 'Shawn Hitchcock']}] Relation:
[ [ { "head": [ "0", "1", "ORG", "Pacify" ], "tail": [ "12", "14", "PERSON", "Shawn Hitchcock" ] } ], [ { "head": [ "0", "1", "ORG", "Pacify" ], "tail": [ "17", "19", "ORG", "Hitchcock Games" ] } ], [ { "head": [ "0", "1", "ORG", "Pacify" ], "tail": [ "36", "40", "PRODUCT", "Pacify Trainer Setup\n" ] } ], [ { "head": [ "0", "1", "ORG", "Pacify" ], "tail": [ "43", "44", "CARDINAL", "6" ] } ], [ { "head": [ "0", "1", "ORG", "Pacify" ], "tail": [ "62", "63", "PRODUCT", "Trainer" ] } ], [ { "head": [ "0", "1", "ORG", "Pacify" ], "tail": [ "78", "79", "PRODUCT", "F7" ] } ], [ { "head": [ "12", "14", "PERSON", "Shawn Hitchcock" ], "tail": [ "0", "1", "ORG", "Pacify" ] } ], [ { "head": [ "12", "14", "PERSON", "Shawn Hitchcock" ], "tail": [ "17", "19", "ORG", "Hitchcock Games" ] } ], [ { "head": [ "12", "14", "PERSON", "Shawn Hitchcock" ], "tail": [ "36", "40", "PRODUCT", "Pacify Trainer Setup\n" ] } ], [ { "head": [ "12", "14", "PERSON", "Shawn Hitchcock" ], "tail": [ "43", "44", "CARDINAL", "6" ] } ], [ { "head": [ "12", "14", "PERSON", "Shawn Hitchcock" ], "tail": [ "62", "63", "PRODUCT", "Trainer" ] } ], [ { "head": [ "12", "14", "PERSON", "Shawn Hitchcock" ], "tail": [ "78", "79", "PRODUCT", "F7" ] } ], [ { "head": [ "17", "19", "ORG", "Hitchcock Games" ], "tail": [ "0", "1", "ORG", "Pacify" ] } ], [ { "head": [ "17", "19", "ORG", "Hitchcock Games" ], "tail": [ "12", "14", "PERSON", "Shawn Hitchcock" ] } ], [ { "head": [ "17", "19", "ORG", "Hitchcock Games" ], "tail": [ "36", "40", "PRODUCT", "Pacify Trainer Setup\n" ] } ], [ { "head": [ "17", "19", "ORG", "Hitchcock Games" ], "tail": [ "43", "44", "CARDINAL", "6" ] } ], [ { "head": [ "17", "19", "ORG", "Hitchcock Games" ], "tail": [ "62", "63", "PRODUCT", "Trainer" ] } ], [ { "head": [ "17", "19", "ORG", "Hitchcock Games" ], "tail": [ "78", "79", "PRODUCT", "F7" ] } ], [ { "head": [ "36", "40", "PRODUCT", "Pacify Trainer Setup\n" ], "tail": [ "0", "1", "ORG", "Pacify" ] } ], [ { "head": [ "36", "40", "PRODUCT", "Pacify Trainer Setup\n" ], "tail": [ "12", "14", "PERSON", "Shawn Hitchcock" ] } ], [ { "head": [ "36", "40", "PRODUCT", "Pacify Trainer Setup\n" ], "tail": [ "17", "19", "ORG", "Hitchcock Games" ] } ], [ { "head": [ "43", "44", "CARDINAL", "6" ], "tail": [ "0", "1", "ORG", "Pacify" ] } ], [ { "head": [ "43", "44", "CARDINAL", "6" ], "tail": [ "12", "14", "PERSON", "Shawn Hitchcock" ] } ], [ { "head": [ "43", "44", "CARDINAL", "6" ], "tail": [ "17", "19", "ORG", "Hitchcock Games" ] } ], [ { "head": [ "62", "63", "PRODUCT", "Trainer" ], "tail": [ "0", "1", "ORG", "Pacify" ] } ], [ { "head": [ "62", "63", "PRODUCT", "Trainer" ], "tail": [ "12", "14", "PERSON", "Shawn Hitchcock" ] } ], [ { "head": [ "62", "63", "PRODUCT", "Trainer" ], "tail": [ "17", "19", "ORG", "Hitchcock Games" ] } ], [ { "head": [ "78", "79", "PRODUCT", "F7" ], "tail": [ "0", "1", "ORG", "Pacify" ] } ], [ { "head": [ "78", "79", "PRODUCT", "F7" ], "tail": [ "12", "14", "PERSON", "Shawn Hitchcock" ] } ], [ { "head": [ "78", "79", "PRODUCT", "F7" ], "tail": [ "17", "19", "ORG", "Hitchcock Games" ] } ] ]
[ " DEVELOPED_BY", " DEVELOPED_BY", " DEVELOPED_BY", " HAS_FEATURE\n\n Explanation:\n The text states that \"this", " DEVELOPED_BY", " WORKS_FOR", " DEVELOPED_BY", " DEVELOPED_BY", " DEVELOPED_BY", " DEVELOPED_BY", " DEVELOPED_BY", " DEVELOPED_BY", " PUBLISHER", " PUBLISHER\n\n Explanation:\n The text states that \"", " PUBLISHER", " PUBLISHER_OF\n\n Explanation:\n The text states", " PUBLISHER", " PUBLISHER", " DEVELOPED_BY", " DEVELOPED_BY", " PUBLISHER", " HAS_FEATURE\n\n Explanation:\n The text states that \"this", " DEVELOPED_BY", " PUBLISHER", " DEVELOPED_BY", " DEVELOPED_BY", " PUBLISHER", " DEVELOPED_BY", " DEVELOPED_BY", " PUBLISHER" ]
[ [ "0", "1", "ORG", "Pacify" ], [ "12", "14", "PERSON", "Shawn Hitchcock" ], [ "17", "19", "ORG", "Hitchcock Games" ], [ "36", "40", "PRODUCT", "Pacify Trainer Setup\n" ], [ "43", "44", "CARDINAL", "6" ], [ "62", "63", "PRODUCT", "Trainer" ], [ "78", "79", "PRODUCT", "F7" ] ]
626
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[ "Baby has the time of its life in a pile of wood shavings\nBy mbrooks on September 30, 2019\nBy Matthew Brooks\nThe Oregon Zoo is enjoying the presence of a newborn elephant.\nThe birth weight of an elephant is typically around 300 lbs.\nDespite its massive size, this baby elephant is full of playfulness.\nClick here to see the video of the baby elephant has the time of its life playing in a large pile of wood shavings." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Baby has the time of its life in a pile of wood shavings\nBy mbrooks on September 30, 2019\nBy Matthew Brooks\nThe Oregon Zoo is enjoying the presence of a newborn elephant.\nThe birth weight of an elephant is typically around 300 lbs.\nDespite its massive size, this baby elephant is full of playfulness.\nClick here to see the video of the baby elephant has the time of its life playing in a large pile of wood shavings.'] Entities: [{'head': ['15', '16', 'PERSON', 'mbrooks'], 'tail': ['17', '21', 'DATE', 'September 30, 2019']}] Relation:
[ [ { "head": [ "15", "16", "PERSON", "mbrooks" ], "tail": [ "17", "21", "DATE", "September 30, 2019" ] } ], [ { "head": [ "15", "16", "PERSON", "mbrooks" ], "tail": [ "23", "25", "PERSON", "Matthew Brooks" ] } ], [ { "head": [ "15", "16", "PERSON", "mbrooks" ], "tail": [ "26", "29", "ORG", "The Oregon Zoo" ] } ], [ { "head": [ "15", "16", "PERSON", "mbrooks" ], "tail": [ "47", "50", "QUANTITY", "around 300 lbs" ] } ], [ { "head": [ "17", "21", "DATE", "September 30, 2019" ], "tail": [ "15", "16", "PERSON", "mbrooks" ] } ], [ { "head": [ "17", "21", "DATE", "September 30, 2019" ], "tail": [ "23", "25", "PERSON", "Matthew Brooks" ] } ], [ { "head": [ "17", "21", "DATE", "September 30, 2019" ], "tail": [ "26", "29", "ORG", "The Oregon Zoo" ] } ], [ { "head": [ "23", "25", "PERSON", "Matthew Brooks" ], "tail": [ "15", "16", "PERSON", "mbrooks" ] } ], [ { "head": [ "23", "25", "PERSON", "Matthew Brooks" ], "tail": [ "17", "21", "DATE", "September 30, 2019" ] } ], [ { "head": [ "23", "25", "PERSON", "Matthew Brooks" ], "tail": [ "26", "29", "ORG", "The Oregon Zoo" ] } ], [ { "head": [ "23", "25", "PERSON", "Matthew Brooks" ], "tail": [ "47", "50", "QUANTITY", "around 300 lbs" ] } ], [ { "head": [ "26", "29", "ORG", "The Oregon Zoo" ], "tail": [ "15", "16", "PERSON", "mbrooks" ] } ], [ { "head": [ "26", "29", "ORG", "The Oregon Zoo" ], "tail": [ "17", "21", "DATE", "September 30, 2019" ] } ], [ { "head": [ "26", "29", "ORG", "The Oregon Zoo" ], "tail": [ "23", "25", "PERSON", "Matthew Brooks" ] } ], [ { "head": [ "26", "29", "ORG", "The Oregon Zoo" ], "tail": [ "47", "50", "QUANTITY", "around 300 lbs" ] } ], [ { "head": [ "47", "50", "QUANTITY", "around 300 lbs" ], "tail": [ "15", "16", "PERSON", "mbrooks" ] } ], [ { "head": [ "47", "50", "QUANTITY", "around 300 lbs" ], "tail": [ "23", "25", "PERSON", "Matthew Brooks" ] } ], [ { "head": [ "47", "50", "QUANTITY", "around 300 lbs" ], "tail": [ "26", "29", "ORG", "The Oregon Zoo" ] } ] ]
[ " WRITTEN_BY", " WRITER_OF\n\n Text: \n ['The newborn elephant is", " ENJOYS\n\n Explanation:\n The text states that \"The", " BIRTH_WEIGHT", " WRITTEN_BY", " WRITTEN_BY", " ENJOYS\n\n Explanation:\n The text states that \"The", " AUTHOR_OF\n\n Text: \n ['The newborn elephant is", " WROTE\n\n Text: \n ['Baby has the time of its", " ENJOYS\n\n Explanation:\n The text states that \"The", " BIRTH_WEIGHT", " ENJOYS\n\n Text: \n ['The newborn elephant is", " ENJOYS\n\n Text: \n ['Baby has the time of", " WRITER_OF\n\n Text: \n ['Baby has the time of", " BIRTH_WEIGHT", " WRITTEN_BY", " WRITTEN_BY", " BIRTH_PLACE" ]
[ [ "15", "16", "PERSON", "mbrooks" ], [ "17", "21", "DATE", "September 30, 2019" ], [ "23", "25", "PERSON", "Matthew Brooks" ], [ "26", "29", "ORG", "The Oregon Zoo" ], [ "47", "50", "QUANTITY", "around 300 lbs" ] ]
627
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[ "The Undisputed Number One Home for All Super Eagles Fans\nSkip to content\nAre you sure you want to delete all cookies set by this board?\nCyberEagles style by ©\nBased on MyInvision by Brad Veryard and MannixMD\nPowered by phpBB® Forum Software © phpBB Limited" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['The Undisputed Number One Home for All Super Eagles Fans\nSkip to content\nAre you sure you want to delete all cookies set by this board?\nCyberEagles style by ©\nBased on MyInvision by Brad Veryard and MannixMD\nPowered by phpBB® Forum Software © phpBB Limited'] Entities: [{'head': ['3', '4', 'CARDINAL', 'One'], 'tail': ['7', '9', 'ORG', 'Super Eagles']}] Relation:
[ [ { "head": [ "3", "4", "CARDINAL", "One" ], "tail": [ "7", "9", "ORG", "Super Eagles" ] } ], [ { "head": [ "3", "4", "CARDINAL", "One" ], "tail": [ "39", "41", "PERSON", "Brad Veryard" ] } ], [ { "head": [ "3", "4", "CARDINAL", "One" ], "tail": [ "46", "50", "ORG", "phpBB® Forum Software" ] } ], [ { "head": [ "7", "9", "ORG", "Super Eagles" ], "tail": [ "3", "4", "CARDINAL", "One" ] } ], [ { "head": [ "7", "9", "ORG", "Super Eagles" ], "tail": [ "39", "41", "PERSON", "Brad Veryard" ] } ], [ { "head": [ "7", "9", "ORG", "Super Eagles" ], "tail": [ "42", "43", "PRODUCT", "MannixMD" ] } ], [ { "head": [ "7", "9", "ORG", "Super Eagles" ], "tail": [ "46", "50", "ORG", "phpBB® Forum Software" ] } ], [ { "head": [ "39", "41", "PERSON", "Brad Veryard" ], "tail": [ "3", "4", "CARDINAL", "One" ] } ], [ { "head": [ "39", "41", "PERSON", "Brad Veryard" ], "tail": [ "7", "9", "ORG", "Super Eagles" ] } ], [ { "head": [ "39", "41", "PERSON", "Brad Veryard" ], "tail": [ "42", "43", "PRODUCT", "MannixMD" ] } ], [ { "head": [ "39", "41", "PERSON", "Brad Veryard" ], "tail": [ "46", "50", "ORG", "phpBB® Forum Software" ] } ], [ { "head": [ "42", "43", "PRODUCT", "MannixMD" ], "tail": [ "7", "9", "ORG", "Super Eagles" ] } ], [ { "head": [ "42", "43", "PRODUCT", "MannixMD" ], "tail": [ "39", "41", "PERSON", "Brad Veryard" ] } ], [ { "head": [ "42", "43", "PRODUCT", "MannixMD" ], "tail": [ "46", "50", "ORG", "phpBB® Forum Software" ] } ], [ { "head": [ "46", "50", "ORG", "phpBB® Forum Software" ], "tail": [ "3", "4", "CARDINAL", "One" ] } ], [ { "head": [ "46", "50", "ORG", "phpBB® Forum Software" ], "tail": [ "7", "9", "ORG", "Super Eagles" ] } ], [ { "head": [ "46", "50", "ORG", "phpBB® Forum Software" ], "tail": [ "39", "41", "PERSON", "Brad Veryard" ] } ], [ { "head": [ "46", "50", "ORG", "phpBB® Forum Software" ], "tail": [ "42", "43", "PRODUCT", "MannixMD" ] } ] ]
[ " HOME_OF", " DEVELOPER_OF", " POWERED_BY", " HOME_OF", " CREATED_BY", " POWERED_BY", " HOSTED_BY", " POWERED_BY", " DEVELOPER_OF", " DEVELOPER_OF", " DEVELOPER_OF", " POWERED_BY", " DEVELOPED_BY", " DEVELOPED_BY", " POWERED_BY", " SOFTWARE_PROVIDED_BY", " DEVELOPED_BY", " SOFTWARE_PROVIDED_BY" ]
[ [ "3", "4", "CARDINAL", "One" ], [ "7", "9", "ORG", "Super Eagles" ], [ "39", "41", "PERSON", "Brad Veryard" ], [ "42", "43", "PRODUCT", "MannixMD" ], [ "46", "50", "ORG", "phpBB® Forum Software" ] ]
628
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[ "Explore the significance of dedicated ASICs and SoCs for Automotive, focusing on ADAS optimization and autonomous driving\nExplore automotive innovation as Pascal Ravillion, Senior Manager at Achronix, delves into eFPGA IPs' role in driving flexible acceleration for advanced automotive systems. Uncover market trends, strategic innovations, real-world examples, and the power of eFPGA technology.\nThe webinar dives into:\n- Why ASICs are ideal for automotive ADAS\n- Current examples of custom ASICs in automotive applications\n- What eFPGA IP is\n- Benefits of eFPGA IP in automotive\n- Achronix's Speedcore eFPGA IP solution\nAnticipate the future of driving technology with Achronix's revolutionary solutions. Register now for a free evaluation license and tools to shape the future of automotive excellence." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ["Explore the significance of dedicated ASICs and SoCs for Automotive, focusing on ADAS optimization and autonomous driving\nExplore automotive innovation as Pascal Ravillion, Senior Manager at Achronix, delves into eFPGA IPs' role in driving flexible acceleration for advanced automotive systems. Uncover market trends, strategic innovations, real-world examples, and the power of eFPGA technology.\nThe webinar dives into:\n- Why ASICs are ideal for automotive ADAS\n- Current examples of custom ASICs in automotive applications\n- What eFPGA IP is\n- Benefits of eFPGA IP in automotive\n- Achronix's Speedcore eFPGA IP solution\nAnticipate the future of driving technology with Achronix's revolutionary solutions. Register now for a free evaluation license and tools to shape the future of automotive excellence."] Entities: [{'head': ['9', '10', 'ORG', 'Automotive'], 'tail': ['23', '25', 'PERSON', 'Pascal Ravillion']}] Relation:
[ [ { "head": [ "9", "10", "ORG", "Automotive" ], "tail": [ "23", "25", "PERSON", "Pascal Ravillion" ] } ], [ { "head": [ "9", "10", "ORG", "Automotive" ], "tail": [ "29", "30", "ORG", "Achronix" ] } ], [ { "head": [ "9", "10", "ORG", "Automotive" ], "tail": [ "106", "107", "ORG", "Achronix" ] } ], [ { "head": [ "9", "10", "ORG", "Automotive" ], "tail": [ "108", "109", "PRODUCT", "Speedcore" ] } ], [ { "head": [ "9", "10", "ORG", "Automotive" ], "tail": [ "109", "111", "PRODUCT", "eFPGA IP" ] } ], [ { "head": [ "9", "10", "ORG", "Automotive" ], "tail": [ "120", "121", "ORG", "Achronix" ] } ], [ { "head": [ "23", "25", "PERSON", "Pascal Ravillion" ], "tail": [ "9", "10", "ORG", "Automotive" ] } ], [ { "head": [ "23", "25", "PERSON", "Pascal Ravillion" ], "tail": [ "29", "30", "ORG", "Achronix" ] } ], [ { "head": [ "23", "25", "PERSON", "Pascal Ravillion" ], "tail": [ "106", "107", "ORG", "Achronix" ] } ], [ { "head": [ "23", "25", "PERSON", "Pascal Ravillion" ], "tail": [ "108", "109", "PRODUCT", "Speedcore" ] } ], [ { "head": [ "23", "25", "PERSON", "Pascal Ravillion" ], "tail": [ "109", "111", "PRODUCT", "eFPGA IP" ] } ], [ { "head": [ "23", "25", "PERSON", "Pascal Ravillion" ], "tail": [ "120", "121", "ORG", "Achronix" ] } ], [ { "head": [ "29", "30", "ORG", "Achronix" ], "tail": [ "9", "10", "ORG", "Automotive" ] } ], [ { "head": [ "29", "30", "ORG", "Achronix" ], "tail": [ "23", "25", "PERSON", "Pascal Ravillion" ] } ], [ { "head": [ "29", "30", "ORG", "Achronix" ], "tail": [ "106", "107", "ORG", "Achronix" ] } ], [ { "head": [ "29", "30", "ORG", "Achronix" ], "tail": [ "108", "109", "PRODUCT", "Speedcore" ] } ], [ { "head": [ "29", "30", "ORG", "Achronix" ], "tail": [ "109", "111", "PRODUCT", "eFPGA IP" ] } ], [ { "head": [ "29", "30", "ORG", "Achronix" ], "tail": [ "120", "121", "ORG", "Achronix" ] } ], [ { "head": [ "106", "107", "ORG", "Achronix" ], "tail": [ "9", "10", "ORG", "Automotive" ] } ], [ { "head": [ "106", "107", "ORG", "Achronix" ], "tail": [ "23", "25", "PERSON", "Pascal Ravillion" ] } ], [ { "head": [ "106", "107", "ORG", "Achronix" ], "tail": [ "29", "30", "ORG", "Achronix" ] } ], [ { "head": [ "106", "107", "ORG", "Achronix" ], "tail": [ "108", "109", "PRODUCT", "Speedcore" ] } ], [ { "head": [ "106", "107", "ORG", "Achronix" ], "tail": [ "109", "111", "PRODUCT", "eFPGA IP" ] } ], [ { "head": [ "106", "107", "ORG", "Achronix" ], "tail": [ "120", "121", "ORG", "Achronix" ] } ], [ { "head": [ "108", "109", "PRODUCT", "Speedcore" ], "tail": [ "9", "10", "ORG", "Automotive" ] } ], [ { "head": [ "108", "109", "PRODUCT", "Speedcore" ], "tail": [ "23", "25", "PERSON", "Pascal Ravillion" ] } ], [ { "head": [ "108", "109", "PRODUCT", "Speedcore" ], "tail": [ "29", "30", "ORG", "Achronix" ] } ], [ { "head": [ "108", "109", "PRODUCT", "Speedcore" ], "tail": [ "106", "107", "ORG", "Achronix" ] } ], [ { "head": [ "108", "109", "PRODUCT", "Speedcore" ], "tail": [ "120", "121", "ORG", "Achronix" ] } ], [ { "head": [ "109", "111", "PRODUCT", "eFPGA IP" ], "tail": [ "9", "10", "ORG", "Automotive" ] } ], [ { "head": [ "109", "111", "PRODUCT", "eFPGA IP" ], "tail": [ "23", "25", "PERSON", "Pascal Ravillion" ] } ], [ { "head": [ "109", "111", "PRODUCT", "eFPGA IP" ], "tail": [ "29", "30", "ORG", "Achronix" ] } ], [ { "head": [ "109", "111", "PRODUCT", "eFPGA IP" ], "tail": [ "106", "107", "ORG", "Achronix" ] } ], [ { "head": [ "109", "111", "PRODUCT", "eFPGA IP" ], "tail": [ "120", "121", "ORG", "Achronix" ] } ], [ { "head": [ "120", "121", "ORG", "Achronix" ], "tail": [ "9", "10", "ORG", "Automotive" ] } ], [ { "head": [ "120", "121", "ORG", "Achronix" ], "tail": [ "23", "25", "PERSON", "Pascal Ravillion" ] } ], [ { "head": [ "120", "121", "ORG", "Achronix" ], "tail": [ "29", "30", "ORG", "Achronix" ] } ], [ { "head": [ "120", "121", "ORG", "Achronix" ], "tail": [ "106", "107", "ORG", "Achronix" ] } ], [ { "head": [ "120", "121", "ORG", "Achronix" ], "tail": [ "108", "109", "PRODUCT", "Speedcore" ] } ], [ { "head": [ "120", "121", "ORG", "Achronix" ], "tail": [ "109", "111", "PRODUCT", "eFPGA IP" ] } ] ]
[ " SPEAKER_OF", " SPEAKER_FOR\n or\n ORG_ASSOCIATED_WITH", " SPEAKER_AT\n or\n ORG_ASSOCIATED_WITH", " PROVIDES_SOLUTION", " INDUSTRY_APPLICATION", " SPEAKER_AT\n or\n ORG_ASSOCIATED_WITH", " SPEAKER_FOR\n\n Explanation:\n Pascal Ravillion is", " SPEAKER_OF\n or\n ORGANIZED_BY\n ", " SPEAKER_OF\n or\n ORGANIZED_BY\n ", " PROVIDES\n\n Explanation:\n Pascal Ravillion is a person who", " DEVELOPER_OF", " SPEAKER_OF\n or\n ORGANIZED_BY\n ", " SPECIALIZES_IN", " SPEAKER_OF", " ORG_ORG_PRODUCES_SOLUTIONS", " PROVIDES\n\n Explanation:\n The text mentions that Achronix", " PROVIDES", " ORG_ORG_PRODUCES_SOLUTIONS", " SPECIALIZATION", " SPEAKER_OF \n or\n ORGANIZED_BY ", " ORG_ORG_same_company", " PROVIDES\n\n Explanation:\n The text mentions that Achronix", " PROVIDES", " ORG_SAME", " SOLUTION_FOR\n\n Explanation:\n The text mentions", " SPEAKER_OF\n # or\n # DEVELOPER_OF\n", " PROVIDES", " PROVIDES", " PROVIDES", " ROLE_IN_INDUSTRY", " SPEAKER_OF \n or\n EXPERT_ON \n ", " PROVIDES", " PROVIDES", " PROVIDES", " SPECIALIZATION", " SPEAKER_OF", " ORG_SAME", " ORG_ORG_PRODUCES_SOLUTIONS", " PROVIDES\n\n Explanation:\n The text mentions that Achronix", " PROVIDES" ]
[ [ "9", "10", "ORG", "Automotive" ], [ "23", "25", "PERSON", "Pascal Ravillion" ], [ "29", "30", "ORG", "Achronix" ], [ "106", "107", "ORG", "Achronix" ], [ "108", "109", "PRODUCT", "Speedcore" ], [ "109", "111", "PRODUCT", "eFPGA IP" ], [ "120", "121", "ORG", "Achronix" ] ]
629
631
[ "Victoria Opitz. Age: 28. I am a true connoisseur and love the beautiful and sensual moments of life. With me you can perform as witty gentleman both stimulating conversations as well spend exciting hours ...\nFree POV Porn in HD\nBest POV porn videos with sexy and hot girls\nFelicity Fairchild. Age: 25. Hi ....... A few words about my mindset doing this line of work, When it comes to having sex with me, it’s like a long lost boyfriend experience; playful, shameless & respectful." ]
[ [ "Victoria", "Opitz", ".", "Age", ":", "28", ".", "I", "am", "a", "true", "connoisseur", "and", "love", "the", "beautiful", "and", "sensual", "moments", "of", "life", ".", "With", "me", "you", "can", "perform", "as", "witty", "gentleman", "both", "stimulating", "conversations", "as", "well", "spend", "exciting", "hours", "...", "\n", "Free", "POV", "Porn", "in", "HD", "\n", "Best", "POV", "porn", "videos", "with", "sexy", "and", "hot", "girls", "\n", "Felicity", "Fairchild", ".", "Age", ":", "25", ".", "Hi", ".......", "A", "few", "words", "about", "my", "mindset", "doing", "this", "line", "of", "work", ",", "When", "it", "comes", "to", "having", "sex", "with", "me", ",", "itвЂ", "™", "s", "like", "a", "long", "lost", "boyfriend", "experience", ";", "playful", ",", "shameless", "&", "respectful", "." ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Victoria Opitz. Age: 28. I am a true connoisseur and love the beautiful and sensual moments of life. With me you can perform as witty gentleman both stimulating conversations as well spend exciting hours ...\nFree POV Porn in HD\nBest POV porn videos with sexy and hot girls\nFelicity Fairchild. Age: 25. Hi ....... A few words about my mindset doing this line of work, When it comes to having sex with me, it’s like a long lost boyfriend experience; playful, shameless & respectful.'] Entities: [{'head': ['0', '2', 'PERSON', 'Victoria Opitz'], 'tail': ['5', '6', 'DATE', '28']}] Relation:
[ [ { "head": [ "0", "2", "PERSON", "Victoria Opitz" ], "tail": [ "5", "6", "DATE", "28" ] } ], [ { "head": [ "0", "2", "PERSON", "Victoria Opitz" ], "tail": [ "37", "38", "TIME", "hours" ] } ], [ { "head": [ "0", "2", "PERSON", "Victoria Opitz" ], "tail": [ "56", "58", "PERSON", "Felicity Fairchild" ] } ], [ { "head": [ "0", "2", "PERSON", "Victoria Opitz" ], "tail": [ "61", "62", "DATE", "25" ] } ], [ { "head": [ "5", "6", "DATE", "28" ], "tail": [ "0", "2", "PERSON", "Victoria Opitz" ] } ], [ { "head": [ "5", "6", "DATE", "28" ], "tail": [ "56", "58", "PERSON", "Felicity Fairchild" ] } ], [ { "head": [ "37", "38", "TIME", "hours" ], "tail": [ "0", "2", "PERSON", "Victoria Opitz" ] } ], [ { "head": [ "37", "38", "TIME", "hours" ], "tail": [ "56", "58", "PERSON", "Felicity Fairchild" ] } ], [ { "head": [ "56", "58", "PERSON", "Felicity Fairchild" ], "tail": [ "0", "2", "PERSON", "Victoria Opitz" ] } ], [ { "head": [ "56", "58", "PERSON", "Felicity Fairchild" ], "tail": [ "5", "6", "DATE", "28" ] } ], [ { "head": [ "56", "58", "PERSON", "Felicity Fairchild" ], "tail": [ "37", "38", "TIME", "hours" ] } ], [ { "head": [ "56", "58", "PERSON", "Felicity Fairchild" ], "tail": [ "61", "62", "DATE", "25" ] } ], [ { "head": [ "61", "62", "DATE", "25" ], "tail": [ "0", "2", "PERSON", "Victoria Opitz" ] } ], [ { "head": [ "61", "62", "DATE", "25" ], "tail": [ "56", "58", "PERSON", "Felicity Fairchild" ] } ] ]
[ " AGE_OF_PERSON", " CAN_SPEND", " LOVERS", " AGES_FROM", " AGE_OF_PERSON", " AGED_BY\n or\n OLDER_PERSON\n or\n", " CAN_SPEND_TIME_WITH", " EXPERIENCE_WITH", " SEXUAL_PARTNER", " AGE_DIFFERENCE", " EXPERIENCE\n\n Entities: \n [{'head': ['5", " AGE_OF", " AGES_OF\n\n Explanation:\n The text states that Victoria Op", " AGES_OF_PEOPLE\n or\n IS_OLDER_TH" ]
[ [ "0", "2", "PERSON", "Victoria Opitz" ], [ "5", "6", "DATE", "28" ], [ "37", "38", "TIME", "hours" ], [ "56", "58", "PERSON", "Felicity Fairchild" ], [ "61", "62", "DATE", "25" ] ]
630
632
[ "The Connection Exchange was awarded the 2019 City of Columbia, MO “Woman Owned Business of the Year“. Co-Owners are Cara Owings, GMLC 2017, and Jennifer Schenck, GMLC 2018. The Connection Exchange is a community focused lead generation company with a proprietary software application. They connect members of The Connection Exchange to new business owners and new residents in 4 locations across Missouri. For more information on The Connection Exchange: https://www.connection-exchange.com/\nCongrats Cara and Jennifer!" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['The Connection Exchange was awarded the 2019 City of Columbia, MO “Woman Owned Business of the Year“. Co-Owners are Cara Owings, GMLC 2017, and Jennifer Schenck, GMLC 2018. The Connection Exchange is a community focused lead generation company with a proprietary software application. They connect members of The Connection Exchange to new business owners and new residents in 4 locations across Missouri. For more information on The Connection Exchange: https://www.connection-exchange.com/\nCongrats Cara and Jennifer!'] Entities: [{'head': ['0', '3', 'ORG', 'The Connection Exchange'], 'tail': ['6', '7', 'DATE', '2019']}] Relation:
[ [ { "head": [ "0", "3", "ORG", "The Connection Exchange" ], "tail": [ "6", "7", "DATE", "2019" ] } ], [ { "head": [ "0", "3", "ORG", "The Connection Exchange" ], "tail": [ "9", "10", "GPE", "Columbia" ] } ], [ { "head": [ "0", "3", "ORG", "The Connection Exchange" ], "tail": [ "11", "12", "GPE", "MO" ] } ], [ { "head": [ "0", "3", "ORG", "The Connection Exchange" ], "tail": [ "17", "19", "DATE", "the Year" ] } ], [ { "head": [ "0", "3", "ORG", "The Connection Exchange" ], "tail": [ "25", "27", "PERSON", "Cara Owings" ] } ], [ { "head": [ "0", "3", "ORG", "The Connection Exchange" ], "tail": [ "28", "29", "ORG", "GMLC" ] } ], [ { "head": [ "0", "3", "ORG", "The Connection Exchange" ], "tail": [ "29", "30", "DATE", "2017" ] } ], [ { "head": [ "0", "3", "ORG", "The Connection Exchange" ], "tail": [ "32", "34", "PERSON", "Jennifer Schenck" ] } ], [ { "head": [ "0", "3", "ORG", "The Connection Exchange" ], "tail": [ "35", "36", "ORG", "GMLC" ] } ], [ { "head": [ "0", "3", "ORG", "The Connection Exchange" ], "tail": [ "36", "37", "DATE", "2018" ] } ], [ { "head": [ "0", "3", "ORG", "The Connection Exchange" ], "tail": [ "38", "41", "ORG", "The Connection Exchange" ] } ], [ { "head": [ "0", "3", "ORG", "The Connection Exchange" ], "tail": [ "58", "61", "ORG", "The Connection Exchange" ] } ], [ { "head": [ "0", "3", "ORG", "The Connection Exchange" ], "tail": [ "69", "70", "CARDINAL", "4" ] } ], [ { "head": [ "0", "3", "ORG", "The Connection Exchange" ], "tail": [ "72", "73", "GPE", "Missouri" ] } ], [ { "head": [ "0", "3", "ORG", "The Connection Exchange" ], "tail": [ "78", "81", "ORG", "The Connection Exchange" ] } ], [ { "head": [ "0", "3", "ORG", "The Connection Exchange" ], "tail": [ "85", "86", "PERSON", "Cara" ] } ], [ { "head": [ "0", "3", "ORG", "The Connection Exchange" ], "tail": [ "87", "88", "PERSON", "Jennifer" ] } ], [ { "head": [ "6", "7", "DATE", "2019" ], "tail": [ "0", "3", "ORG", "The Connection Exchange" ] } ], [ { "head": [ "6", "7", "DATE", "2019" ], "tail": [ "9", "10", "GPE", "Columbia" ] } ], [ { "head": [ "6", "7", "DATE", "2019" ], "tail": [ "11", "12", "GPE", "MO" ] } ], [ { "head": [ "6", "7", "DATE", "2019" ], "tail": [ "25", "27", "PERSON", "Cara Owings" ] } ], [ { "head": [ "6", "7", "DATE", "2019" ], "tail": [ "28", "29", "ORG", "GMLC" ] } ], [ { "head": [ "6", "7", "DATE", "2019" ], "tail": [ "32", "34", "PERSON", "Jennifer Schenck" ] } ], [ { "head": [ "6", "7", "DATE", "2019" ], "tail": [ "35", "36", "ORG", "GMLC" ] } ], [ { "head": [ "6", "7", "DATE", "2019" ], "tail": [ "38", "41", "ORG", "The Connection Exchange" ] } ], [ { "head": [ "6", "7", "DATE", "2019" ], "tail": [ "58", "61", "ORG", "The Connection Exchange" ] } ], [ { "head": [ "6", "7", "DATE", "2019" ], "tail": [ "72", "73", "GPE", "Missouri" ] } ], [ { "head": [ "6", "7", "DATE", "2019" ], "tail": [ "78", "81", "ORG", "The Connection Exchange" ] } ], [ { "head": [ "6", "7", "DATE", "2019" ], "tail": [ "85", "86", "PERSON", "Cara" ] } ], [ { "head": [ "6", "7", "DATE", "2019" ], "tail": [ "87", "88", "PERSON", "Jennifer" ] } ], [ { "head": [ "9", "10", "GPE", "Columbia" ], "tail": [ "0", "3", "ORG", "The Connection Exchange" ] } ], [ { "head": [ "9", "10", "GPE", "Columbia" ], "tail": [ "6", "7", "DATE", "2019" ] } ], [ { "head": [ "9", "10", "GPE", "Columbia" ], "tail": [ "11", "12", "GPE", "MO" ] } ], [ { "head": [ "9", "10", "GPE", "Columbia" ], "tail": [ "17", "19", "DATE", "the Year" ] } ], [ { "head": [ "9", "10", "GPE", "Columbia" ], "tail": [ "25", "27", "PERSON", "Cara Owings" ] } ], [ { "head": [ "9", "10", "GPE", "Columbia" ], "tail": [ "28", "29", "ORG", "GMLC" ] } ], [ { "head": [ "9", "10", "GPE", "Columbia" ], "tail": [ "29", "30", "DATE", "2017" ] } ], [ { "head": [ "9", "10", "GPE", "Columbia" ], "tail": [ "32", "34", "PERSON", "Jennifer Schenck" ] } ], [ { "head": [ "9", "10", "GPE", "Columbia" ], "tail": [ "35", "36", "ORG", "GMLC" ] } ], [ { "head": [ "9", "10", "GPE", "Columbia" ], "tail": [ "36", "37", "DATE", "2018" ] } ], [ { "head": [ "9", "10", "GPE", "Columbia" ], "tail": [ "38", "41", "ORG", "The Connection Exchange" ] } ], [ { "head": [ "9", "10", "GPE", "Columbia" ], "tail": [ "58", "61", "ORG", "The Connection Exchange" ] } ], [ { "head": [ "9", "10", "GPE", "Columbia" ], "tail": [ "69", "70", "CARDINAL", "4" ] } ], [ { "head": [ "9", "10", "GPE", "Columbia" ], "tail": [ "72", "73", "GPE", "Missouri" ] } ], [ { "head": [ "9", "10", "GPE", "Columbia" ], "tail": [ "78", "81", "ORG", "The Connection Exchange" ] } ], [ { "head": [ "9", "10", "GPE", "Columbia" ], "tail": [ "85", "86", "PERSON", "Cara" ] } ], [ { "head": [ "9", "10", "GPE", "Columbia" ], "tail": [ "87", "88", "PERSON", "Jennifer" ] } ], [ { "head": [ "11", "12", "GPE", "MO" ], "tail": [ "0", "3", "ORG", "The Connection Exchange" ] } ], [ { "head": [ "11", "12", "GPE", "MO" ], "tail": [ "6", "7", "DATE", "2019" ] } ], [ { "head": [ "11", "12", "GPE", "MO" ], "tail": [ "9", "10", "GPE", "Columbia" ] } ], [ { 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Exchange" ], "tail": [ "17", "19", "DATE", "the Year" ] } ], [ { "head": [ "78", "81", "ORG", "The Connection Exchange" ], "tail": [ "25", "27", "PERSON", "Cara Owings" ] } ], [ { "head": [ "78", "81", "ORG", "The Connection Exchange" ], "tail": [ "28", "29", "ORG", "GMLC" ] } ], [ { "head": [ "78", "81", "ORG", "The Connection Exchange" ], "tail": [ "29", "30", "DATE", "2017" ] } ], [ { "head": [ "78", "81", "ORG", "The Connection Exchange" ], "tail": [ "32", "34", "PERSON", "Jennifer Schenck" ] } ], [ { "head": [ "78", "81", "ORG", "The Connection Exchange" ], "tail": [ "35", "36", "ORG", "GMLC" ] } ], [ { "head": [ "78", "81", "ORG", "The Connection Exchange" ], "tail": [ "36", "37", "DATE", "2018" ] } ], [ { "head": [ "78", "81", "ORG", "The Connection Exchange" ], "tail": [ "38", "41", "ORG", "The Connection Exchange" ] } ], [ { "head": [ "78", "81", "ORG", "The Connection Exchange" ], "tail": [ "58", "61", "ORG", "The Connection Exchange" ] } ], [ { "head": [ "78", "81", "ORG", "The Connection Exchange" ], "tail": [ "69", "70", "CARDINAL", "4" ] } ], [ { "head": [ "78", "81", "ORG", "The Connection Exchange" ], "tail": [ "72", "73", "GPE", "Missouri" ] } ], [ { "head": [ "78", "81", "ORG", "The Connection Exchange" ], "tail": [ "85", "86", "PERSON", "Cara" ] } ], [ { "head": [ "78", "81", "ORG", "The Connection Exchange" ], "tail": [ "87", "88", "PERSON", "Jennifer" ] } ], [ { "head": [ "85", "86", "PERSON", "Cara" ], "tail": [ "0", "3", "ORG", "The Connection Exchange" ] } ], [ { "head": [ "85", "86", "PERSON", "Cara" ], "tail": [ "6", "7", "DATE", "2019" ] } ], [ { "head": [ "85", "86", "PERSON", "Cara" ], "tail": [ "9", "10", "GPE", "Columbia" ] } ], [ { "head": [ "85", "86", "PERSON", "Cara" ], "tail": [ "11", "12", "GPE", "MO" ] } ], [ { "head": [ "85", "86", "PERSON", "Cara" ], "tail": [ "17", "19", "DATE", "the Year" ] } ], [ { "head": [ "85", "86", "PERSON", "Cara" ], "tail": [ "25", "27", "PERSON", "Cara Owings" ] } ], [ { "head": [ "85", "86", "PERSON", "Cara" ], "tail": [ "28", "29", "ORG", "GMLC" ] } ], [ { "head": [ "85", "86", "PERSON", "Cara" ], "tail": [ "29", "30", "DATE", "2017" ] } ], [ { "head": [ "85", "86", "PERSON", "Cara" ], "tail": [ "32", "34", "PERSON", "Jennifer Schenck" ] } ], [ { "head": [ "85", "86", "PERSON", "Cara" ], "tail": [ "35", "36", "ORG", "GMLC" ] } ], [ { "head": [ "85", "86", "PERSON", "Cara" ], "tail": [ "36", "37", "DATE", "2018" ] } ], [ { "head": [ "85", "86", "PERSON", "Cara" ], "tail": [ "38", "41", "ORG", "The Connection Exchange" ] } ], [ { "head": [ "85", "86", "PERSON", "Cara" ], "tail": [ "58", "61", "ORG", "The Connection Exchange" ] } ], [ { "head": [ "85", "86", "PERSON", "Cara" ], "tail": [ "69", "70", "CARDINAL", "4" ] } ], [ { "head": [ "85", "86", "PERSON", "Cara" ], "tail": [ "72", "73", "GPE", "Missouri" ] } ], [ { "head": [ "85", "86", "PERSON", "Cara" ], "tail": [ "78", "81", "ORG", "The Connection Exchange" ] } ], [ { "head": [ "85", "86", "PERSON", "Cara" ], "tail": [ "87", "88", "PERSON", "Jennifer" ] } ], [ { "head": [ "87", "88", "PERSON", "Jennifer" ], "tail": [ "0", "3", "ORG", "The Connection Exchange" ] } ], [ { "head": [ "87", "88", "PERSON", "Jennifer" ], "tail": [ "6", "7", "DATE", "2019" ] } ], [ { "head": [ "87", "88", "PERSON", "Jennifer" ], "tail": [ "9", "10", "GPE", "Columbia" ] } ], [ { "head": [ "87", "88", "PERSON", "Jennifer" ], "tail": [ "11", "12", "GPE", "MO" ] } ], [ { "head": [ "87", "88", "PERSON", "Jennifer" ], "tail": [ "17", "19", "DATE", "the Year" ] } ], [ { "head": [ "87", "88", "PERSON", "Jennifer" ], "tail": [ "25", "27", "PERSON", "Cara Owings" ] } ], [ { "head": [ "87", "88", "PERSON", "Jennifer" ], "tail": [ "28", "29", "ORG", "GMLC" ] } ], [ { "head": [ "87", "88", "PERSON", "Jennifer" ], "tail": [ "29", "30", "DATE", "2017" ] } ], [ { "head": [ "87", "88", "PERSON", "Jennifer" ], "tail": [ "32", "34", "PERSON", "Jennifer Schenck" ] } ], [ { "head": [ "87", "88", "PERSON", "Jennifer" ], "tail": [ "35", "36", "ORG", "GMLC" ] } ], [ { "head": [ "87", "88", "PERSON", "Jennifer" ], "tail": [ "36", "37", "DATE", "2018" ] } ], [ { "head": [ "87", "88", "PERSON", "Jennifer" ], "tail": [ "38", "41", "ORG", "The Connection Exchange" ] } ], [ { "head": [ "87", "88", "PERSON", "Jennifer" ], "tail": [ "58", "61", "ORG", "The Connection Exchange" ] } ], [ { "head": [ "87", "88", "PERSON", "Jennifer" ], "tail": [ "69", "70", "CARDINAL", "4" ] } ], [ { "head": [ "87", "88", "PERSON", "Jennifer" ], "tail": [ "72", "73", "GPE", "Missouri" ] } ], [ { "head": [ "87", "88", "PERSON", "Jennifer" ], "tail": [ "78", "81", "ORG", "The Connection Exchange" ] } ], [ { "head": [ "87", "88", "PERSON", "Jennifer" ], "tail": [ "85", "86", "PERSON", "Cara" ] } ] ]
[ " AWARDED_YEAR", " LOCATED_IN", " LOCATED_IN", " AWARDED_YEAR", " CO-OWNER", " MEMBER_OF", " CARRIED_OUT = 'carried_out'\n GMLC =", " CO_OWNER", " MEMBER_OF", " CO-OWNER", " SELF_REFERENCE", " SELF_REFERENCE", " LOCATED_IN", " LOCATED_IN", " SELF_REFERENCE", " CO-OWNER", " CO_OWNER", " AWARDED_BY", " AWARDED_BY", " AWARDED_BY", " AWARDED_BY", " AWARDED_BY", " AWARDED_BY", " AWARDED_BY", " AWARDED_BY", " AWARDED_BY", " AWARDED_BY_LOCATION", " AWARDED_BY", " AWARDED_BY", " RECIPIENT_OF_AWARD", " LOCATED_IN", " AWARDED_BY", " LOCATION_IN.", " AWARDED_BY", " AWARDED_BY", " LOCATED_IN.", " COLOCATED_WITH\n\n Explanation:\n The text states that Car", " RECIPIENT_OF_AWARD", " LOCATED_IN.", " CO-OWNED_BY", " LOCATED_IN", " LOCATED_IN", " LOCATION_IN.", " LOCATED_IN", " LOCATED_IN", " AWARDED_BY", " RECIPIENT_OF_AWARD", " LOCATED_IN", " AWARDED_BY", " LOCATION_IN\n\n Explanation:\n The text states that \"", " AWARDED_BY", " AWARDED_BY", " AWARDED_BY", " CO-FOUNDED_BY_YEAR", " CO_OWNER", " AWARDED_BY", " CO-OWNED_BY", " LOCATED_IN", " LOCATED_IN", " LOCATION_IN.", " LOCATION_IN\n\n Explanation:\n The text states that \"", " LOCATED_IN", " AWARDED_BY", " CO_OWNER", " AWARDED_BY", " AWARDED_BY", " AWARDED_BY", " AWARDED_BY", " GRADUATED_FROM", " AWARDED_BY", " AWARDED_BY", " AWARDED_BY", " AWARDED_BY", " AWARDED_BY_LOCATION", " AWARDED_BY", " AWARDED_BY", " CO_OWNER", " CO-OWNER", " AWARDED_BY_DATE", " LOCATED_IN", " LOCATED_IN", " AWARDED_BY.", " CO-FOUNDER_OF", " GMLC_YEAR", " CO_OWNER", " CO-FOUNDER_OF", " CO-OWNED_BY", " CO-OWNER", " CO-OWNER", " CO-OWNER_OF\n\n Entities: \n [{'head", " LOCATED_IN", " CO-OWNER", " SELF_REFERENCE", " CO_OWNER", " CO-FOUNDER", " AWARDED_YEAR", " LOCATED_IN", " LOCATED_IN", " AWARDED_YEAR", " CO-OWNER", " CARRIED_OUT = 'carried_out'\n GMLC_", " CO_OWNER", " YEARS_AT_PROGRAM\n\n Explanation:\n The", " CO-OWNED_BY", " CO-FOUNDER", " CO-FOUNDER", " LOCATION_OF\n\n Explanation:\n The text states that The", " LOCATED_IN", " CO-FOUNDER", " GRADUATED_FROM", " CO-OWNER", " CO-FOUNDER", " AWARDED_BY.", " CARRIES_AWARD_FOR\n\n Entities: \n ", " GMLC_YEAR", " GRADUATED_FROM", " CO-OWNER", " GRADUATED_FROM", " CO-FOUNDED", " CO-FOUNDER", " GMLC_OF_LOCATION", " CO-FOUNDER", " GMLC_YEAR", " CO-OWNED_BY", " CO-OWNER", " AWARDED_BY_DATE", " RECIPIENT_OF_AWARD", " LOCATED_IN", " AWARDED_BY_YEAR", " CO_OWNER", " CO-FOUNDER_OF", " GMLC_YEAR_FOR_PERSON", " CO-FOUNDER_OF", " CO-OWNED_BY_YEAR", " CO-OWNER", " CO-OWNER", " CO-OWNER_OF\n OR\n OWNER_OF (if", " LOCATED_IN", " CO-OWNER", " CO_OWNER", " SAME_PERSON", " CO-FOUNDER", " AWARDED_YEAR", " LOCATED_IN", " LOCATED_IN", " AWARDED_YEAR", " CO-OWNER", " YEARS_AGO\n\n Explanation:\n The text states that", " CARRIED_OUT = 'carried_out'\n GMLC_", " CO-OWNER", " CO-FOUNDER", " CO-FOUNDER", " CO-FOUNDER", " CO-OWNED_BY", " LOCATED_IN", " CO-FOUNDER", " GRADUATED_FROM", " CO-OWNER", " CO-OWNER", " COLOCATED_IN.", " CO-LOCATED_IN", " GMLC_YEAR", " CO-FOUNDER", " CO-OWNER", " ALUMNUS_OF", " CO-OWNER", " CO_OWNER", " LOCATION_IN.", " CO-OWNER", " GMLC_YEAR", " CO-OWNER", " SELF_REFERENCE", " AWARDED_YEAR", " LOCATED_IN", " LOCATED_IN", " AWARDED_YEAR", " CO-OWNER", " MEMBER_OF", " CO-FOUNDER", " CO_OWNER", " 'MEMBER_OF'", " CO-OWNER_OF\n Or\n NO_RELATION (if '", " SELF_REFERENCE", " RECIPIENT_OF_AWARD", " LOCATED_IN", " SELF_REFERENCE", " CO-OWNER", " CO_OWNER", " SELF_REFERENCE", " AWARDED_YEAR", " LOCATED_IN", " LOCATED_IN", " AWARDED_YEAR", " CO-OWNER", " MEMBER_OF", " CO-FOUNDER", " CO_OWNER", " 'MEMBER_OF'", " CO-OWNER", " SELF_REFERENCE", " LOCATION_COUNT", " LOCATED_IN", " SELF_REFERENCE", " CO-OWNER", " CO_OWNER", " AWARDED_BY", " LOCATED_IN", " LOCATED_IN", " CO-OWNER", " CO-FOUNDED_BY", " CO_OWNER", " CO-FOUNDED_BY", " AWARDED_BY", " AWARDED_BY", " LOCATED_IN", " AWARDED_BY", " CO-OWNER", " CO_OWNER", " LOCATED_IN", " LOCATION_OF\n\n Explanation:\n The text states that \"", " LOCATION_IN.", " LOCATION_IN\n\n Explanation:\n The text states that The", " AWARDED_BY_YEAR", " LOCATED_IN.", " LOCATED_IN", " LOCATION_OF\n\n Explanation:\n The text states that Car", " LOCATED_IN", " LOCATED_IN.", " CO-OWNED_BY", " LOCATED_IN", " LOCATED_IN", " LOCATION.\n\n Explanation:\n The text states that The Connection", " LOCATED_IN", " LOCATED_IN.", " LOCATED_IN", " SELF_REFERENCE", " AWARDED_YEAR", " LOCATED_IN", " LOCATED_IN", " AWARDED_YEAR", " CO-OWNER", " 'MEMBER_OF'", " CO-FOUNDER", " CO_OWNER", " MEMBER_OF", " CO-OWNER", " SAME_ORG", " SAME_ORG", " LOCATION_COUNT", " LOCATED_IN", " CO-OWNER", " CO_OWNER", " CO-OWNER", " AWARDED_YEAR", " LOCATED_IN", " LOCATED_IN.", " AWARDED_BY.", " NO_RELATION (Since there is no relation mentioned in the text between the entities)", " CO-FOUNDED_BY.", " GMLC_YEAR.\n\n Entities: \n [{'head", " CO_OWNER", " CO-FOUNDED_BY.", " CO-OWNED_BY", " CO-OWNER", " CO-OWNER", " BELONGS_TO\n\n Explanation:\n The text states that", " LOCATED_IN", " CO-OWNER", " CO_OWNER", " CO-OWNER", " AWARDED_ON.", " LOCATED_IN", " LOCATED_IN", " AWARDED_BY.", " CO_OWNER", " MEMBER_OF", " GMLC_YEAR_FOR_PERSON", " CO_OWNER", " MEMBER_OF", " CO-OWNED_BY", " CO-OWNER", " CO-OWNER", " BELONGS_TO\n\n Explanation:\n The text states that", " LOCATED_IN", " CO-OWNER", " CO_OWNER" ]
[ [ "0", "3", "ORG", "The Connection Exchange" ], [ "6", "7", "DATE", "2019" ], [ "9", "10", "GPE", "Columbia" ], [ "11", "12", "GPE", "MO" ], [ "17", "19", "DATE", "the Year" ], [ "25", "27", "PERSON", "Cara Owings" ], [ "28", "29", "ORG", "GMLC" ], [ "29", "30", "DATE", "2017" ], [ "32", "34", "PERSON", "Jennifer Schenck" ], [ "35", "36", "ORG", "GMLC" ], [ "36", "37", "DATE", "2018" ], [ "38", "41", "ORG", "The Connection Exchange" ], [ "58", "61", "ORG", "The Connection Exchange" ], [ "69", "70", "CARDINAL", "4" ], [ "72", "73", "GPE", "Missouri" ], [ "78", "81", "ORG", "The Connection Exchange" ], [ "85", "86", "PERSON", "Cara" ], [ "87", "88", "PERSON", "Jennifer" ] ]
631
633
[ "KIDS PARTY KARAOKE!\nWe provided Karaoke entertainment at this 13th birthday party. In addition our DJ Munirah entertained the children with a selection of party games.\nINTRODUCING DJ MUNIRAH\nCheck out our most popular children’s party entertainer Munirah. With years of experience and a great personality she’s the perfect host for any kid’s party you’re planning.\nGLOW IN THE DARK PARTY\nWe had so much fun at this Glow in the dark party. We provided UV Lighting and Neon props" ]
[ [ "KIDS", "PARTY", "KARAOKE", "!", "\n", "We", "provided", "Karaoke", "entertainment", "at", "this", "13th", "birthday", "party", ".", "In", "addition", "our", "DJ", "Munirah", "entertained", "the", "children", "with", "a", "selection", "of", "party", "games", ".", "\n", "INTRODUCING", "DJ", "MUNIRAH", "\n", "Check", "out", "our", "most", "popular", "children", "’s", "party", "entertainer", "Munirah", ".", "With", "years", "of", "experience", "and", "a", "great", "personality", "she", "’s", "the", "perfect", "host", "for", "any", "kid", "’s", "party", "you", "’re", "planning", ".", "\n", "GLOW", "IN", "THE", "DARK", "PARTY", "\n", "We", "had", "so", "much", "fun", "at", "this", "Glow", "in", "the", "dark", "party", ".", "We", "provided", "UV", "Lighting", "and", "Neon", "props" ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['KIDS PARTY KARAOKE!\nWe provided Karaoke entertainment at this 13th birthday party. In addition our DJ Munirah entertained the children with a selection of party games.\nINTRODUCING DJ MUNIRAH\nCheck out our most popular children’s party entertainer Munirah. With years of experience and a great personality she’s the perfect host for any kid’s party you’re planning.\nGLOW IN THE DARK PARTY\nWe had so much fun at this Glow in the dark party. We provided UV Lighting and Neon props'] Entities: [{'head': ['11', '12', 'ORDINAL', '13th'], 'tail': ['19', '20', 'PERSON', 'Munirah']}] Relation:
[ [ { "head": [ "11", "12", "ORDINAL", "13th" ], "tail": [ "19", "20", "PERSON", "Munirah" ] } ], [ { "head": [ "11", "12", "ORDINAL", "13th" ], "tail": [ "33", "34", "PERSON", "MUNIRAH" ] } ], [ { "head": [ "11", "12", "ORDINAL", "13th" ], "tail": [ "44", "45", "PERSON", "Munirah" ] } ], [ { "head": [ "19", "20", "PERSON", "Munirah" ], "tail": [ "11", "12", "ORDINAL", "13th" ] } ], [ { "head": [ "19", "20", "PERSON", "Munirah" ], "tail": [ "33", "34", "PERSON", "MUNIRAH" ] } ], [ { "head": [ "19", "20", "PERSON", "Munirah" ], "tail": [ "44", "45", "PERSON", "Munirah" ] } ], [ { "head": [ "19", "20", "PERSON", "Munirah" ], "tail": [ "69", "73", "WORK_OF_ART", "GLOW IN THE DARK" ] } ], [ { "head": [ "33", "34", "PERSON", "MUNIRAH" ], "tail": [ "11", "12", "ORDINAL", "13th" ] } ], [ { "head": [ "33", "34", "PERSON", "MUNIRAH" ], "tail": [ "19", "20", "PERSON", "Munirah" ] } ], [ { "head": [ "33", "34", "PERSON", "MUNIRAH" ], "tail": [ "44", "45", "PERSON", "Munirah" ] } ], [ { "head": [ "33", "34", "PERSON", "MUNIRAH" ], "tail": [ "69", "73", "WORK_OF_ART", "GLOW IN THE DARK" ] } ], [ { "head": [ "44", "45", "PERSON", "Munirah" ], "tail": [ "11", "12", "ORDINAL", "13th" ] } ], [ { "head": [ "44", "45", "PERSON", "Munirah" ], "tail": [ "19", "20", "PERSON", "Munirah" ] } ], [ { "head": [ "44", "45", "PERSON", "Munirah" ], "tail": [ "33", "34", "PERSON", "MUNIRAH" ] } ], [ { "head": [ "44", "45", "PERSON", "Munirah" ], "tail": [ "69", "73", "WORK_OF_ART", "GLOW IN THE DARK" ] } ], [ { "head": [ "69", "73", "WORK_OF_ART", "GLOW IN THE DARK" ], "tail": [ "19", "20", "PERSON", "Munirah" ] } ], [ { "head": [ "69", "73", "WORK_OF_ART", "GLOW IN THE DARK" ], "tail": [ "33", "34", "PERSON", "MUNIRAH" ] } ], [ { "head": [ "69", "73", "WORK_OF_ART", "GLOW IN THE DARK" ], "tail": [ "44", "45", "PERSON", "Munirah" ] } ] ]
[ " ENTERTAINED_BY", " ENTERTAINED_BY", " ENTERTAINED_BY", " ENTERTAINED_AT", " SAME_PERSON", " SAME_PERSON", " ENTERTAINED_WORK_OF_ART", " ENTERTAINED_AT", " SAME_PERSON", " SAME_PERSON", " ENTERTAINED_WORK_OF_ART", " ENTERTAINED_AT", " SAME_PERSON", " SAME_PERSON", " PROVIDED_ENTERTAINMENT", " ENTERTAINED_BY", " ENTERTAINED_BY", " ENTERTAINED_BY" ]
[ [ "11", "12", "ORDINAL", "13th" ], [ "19", "20", "PERSON", "Munirah" ], [ "33", "34", "PERSON", "MUNIRAH" ], [ "44", "45", "PERSON", "Munirah" ], [ "69", "73", "WORK_OF_ART", "GLOW IN THE DARK" ] ]
632
634
[ "3-4 hours: Detailed walking tour through the Left river bank\nThe left river bank includes the oldest preserved parts of Prague - the Castle with the Castle District and the Little Quarter located right below it next to the Vltava river. This neighborhood is very picturesque and with this detailed tour there is enough time to explore its hidden alleys and gems. A must is always the baroque library within the Strahov monastery. In the high tourist season, many baroque gardens are open for public.\nStrahov monastery - views of the city - Prague Castle - Baroque gardens - Little Quarter - Kampa island - Charles bridge" ]
[ [ "3", "-", "4", "hours", ":", "Detailed", "walking", "tour", "through", "the", "Left", "river", "bank", "\n", "The", "left", "river", "bank", "includes", "the", "oldest", "preserved", "parts", "of", "Prague", "-", "the", "Castle", "with", "the", "Castle", "District", "and", "the", "Little", "Quarter", "located", "right", "below", "it", "next", "to", "the", "Vltava", "river", ".", "This", "neighborhood", "is", "very", "picturesque", "and", "with", "this", "detailed", "tour", "there", "is", "enough", "time", "to", "explore", "its", "hidden", "alleys", "and", "gems", ".", "A", "must", "is", "always", "the", "baroque", "library", "within", "the", "Strahov", "monastery", ".", "In", "the", "high", "tourist", "season", ",", "many", "baroque", "gardens", "are", "open", "for", "public", ".", "\n", "Strahov", "monastery", "-", "views", "of", "the", "city", "-", "Prague", "Castle", "-", "Baroque", "gardens", "-", "Little", "Quarter", "-", "Kampa", "island", "-", "Charles", "bridge" ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['3-4 hours: Detailed walking tour through the Left river bank\nThe left river bank includes the oldest preserved parts of Prague - the Castle with the Castle District and the Little Quarter located right below it next to the Vltava river. This neighborhood is very picturesque and with this detailed tour there is enough time to explore its hidden alleys and gems. A must is always the baroque library within the Strahov monastery. In the high tourist season, many baroque gardens are open for public.\nStrahov monastery - views of the city - Prague Castle - Baroque gardens - Little Quarter - Kampa island - Charles bridge'] Entities: [{'head': ['0', '4', 'TIME', '3-4 hours'], 'tail': ['24', '25', 'GPE', 'Prague']}] Relation:
[ [ { "head": [ "0", "4", "TIME", "3-4 hours" ], "tail": [ "24", "25", "GPE", "Prague" ] } ], [ { "head": [ "0", "4", "TIME", "3-4 hours" ], "tail": [ "33", "36", "LOC", "the Little Quarter" ] } ], [ { "head": [ "0", "4", "TIME", "3-4 hours" ], "tail": [ "42", "45", "LOC", "the Vltava river" ] } ], [ { "head": [ "0", "4", "TIME", "3-4 hours" ], "tail": [ "109", "111", "LOC", "Little Quarter" ] } ], [ { "head": [ "0", "4", "TIME", "3-4 hours" ], "tail": [ "112", "113", "LOC", "Kampa" ] } ], [ { "head": [ "0", "4", "TIME", "3-4 hours" ], "tail": [ "115", "116", "PERSON", "Charles" ] } ], [ { "head": [ "24", "25", "GPE", "Prague" ], "tail": [ "0", "4", "TIME", "3-4 hours" ] } ], [ { "head": [ "24", "25", "GPE", "Prague" ], "tail": [ "26", "32", "FAC", "the Castle with the Castle District" ] } ], [ { "head": [ "24", "25", "GPE", "Prague" ], "tail": [ "33", "36", "LOC", "the Little Quarter" ] } ], [ { "head": [ "24", "25", "GPE", "Prague" ], "tail": [ "42", "45", "LOC", "the Vltava river" ] } ], [ { "head": [ "24", "25", "GPE", "Prague" ], "tail": [ "77", "78", "FAC", "Strahov" ] } ], [ { "head": [ "24", "25", "GPE", "Prague" ], "tail": [ "81", "85", "DATE", "the high tourist season" ] } ], [ { "head": [ "24", "25", "GPE", "Prague" ], "tail": [ "95", "97", "FAC", "Strahov monastery" ] } ], [ { "head": [ "24", "25", "GPE", "Prague" ], "tail": [ "103", "105", "FAC", "Prague Castle" ] } ], [ { "head": [ "24", "25", "GPE", "Prague" ], "tail": [ "109", "111", "LOC", "Little Quarter" ] } ], [ { "head": [ "24", "25", "GPE", "Prague" ], "tail": [ "112", "113", "LOC", "Kampa" ] } ], [ { "head": [ "24", "25", "GPE", "Prague" ], "tail": [ "115", "116", "PERSON", "Charles" ] } ], [ { "head": [ "26", "32", "FAC", "the Castle with the Castle District" ], "tail": [ "24", "25", "GPE", "Prague" ] } ], [ { "head": [ "26", "32", "FAC", "the Castle with the Castle District" ], "tail": [ "33", "36", "LOC", "the Little Quarter" ] } ], [ { "head": [ "26", "32", "FAC", "the Castle with the Castle District" ], "tail": [ "42", "45", "LOC", "the Vltava river" ] } ], [ { "head": [ "26", "32", "FAC", "the Castle with the Castle District" ], "tail": [ "109", "111", "LOC", "Little Quarter" ] } ], [ { "head": [ "26", "32", "FAC", "the Castle with the Castle District" ], "tail": [ "112", "113", "LOC", "Kampa" ] } ], [ { "head": [ "26", "32", "FAC", "the Castle with the Castle District" ], "tail": [ "115", "116", "PERSON", "Charles" ] } ], [ { "head": [ "33", "36", "LOC", "the Little Quarter" ], "tail": [ "0", "4", "TIME", "3-4 hours" ] } ], [ { "head": [ "33", "36", "LOC", "the Little Quarter" ], "tail": [ "24", "25", "GPE", "Prague" ] } ], [ { "head": [ "33", "36", "LOC", "the Little Quarter" ], "tail": [ "26", "32", "FAC", "the Castle with the Castle District" ] } ], [ { "head": [ "33", "36", "LOC", "the Little Quarter" ], "tail": [ "42", "45", "LOC", "the Vltava river" ] } ], [ { "head": [ "33", "36", "LOC", "the Little Quarter" ], "tail": [ "77", "78", "FAC", "Strahov" ] } ], [ { "head": [ "33", "36", "LOC", "the Little Quarter" ], "tail": [ "81", "85", "DATE", "the high tourist season" ] } ], [ { "head": [ "33", "36", "LOC", "the Little Quarter" ], "tail": [ "95", "97", "FAC", "Strahov monastery" ] } ], [ { "head": [ "33", "36", "LOC", "the Little Quarter" ], "tail": [ "103", "105", "FAC", "Prague Castle" ] } ], [ { "head": [ "33", "36", "LOC", "the Little Quarter" ], "tail": [ "109", "111", "LOC", "Little Quarter" ] } ], [ { "head": [ "33", "36", "LOC", "the Little Quarter" ], "tail": [ "112", "113", "LOC", "Kampa" ] } ], [ { "head": [ "33", "36", "LOC", "the Little Quarter" ], "tail": [ "115", "116", "PERSON", "Charles" ] } ], [ { "head": [ "42", "45", "LOC", "the Vltava river" ], "tail": [ "0", "4", "TIME", "3-4 hours" ] } ], [ { "head": [ "42", "45", "LOC", "the Vltava river" ], "tail": [ "24", "25", "GPE", "Prague" ] } ], [ { "head": [ "42", "45", "LOC", "the Vltava river" ], "tail": [ "26", "32", "FAC", "the Castle with the Castle District" ] } ], [ { "head": [ "42", "45", "LOC", "the Vltava river" ], "tail": [ "33", "36", "LOC", "the Little Quarter" ] } ], [ { "head": [ "42", "45", "LOC", "the Vltava river" ], "tail": [ "77", "78", "FAC", "Strahov" ] } ], [ { "head": [ "42", "45", "LOC", "the Vltava river" ], "tail": [ "81", "85", "DATE", "the high tourist season" ] } ], [ { "head": [ "42", "45", "LOC", "the Vltava river" ], "tail": [ "95", "97", "FAC", "Strahov monastery" ] } ], [ { "head": [ "42", "45", "LOC", "the Vltava river" ], "tail": [ "103", "105", "FAC", "Prague Castle" ] } ], [ { "head": [ "42", "45", "LOC", "the Vltava river" ], "tail": [ "109", "111", "LOC", "Little Quarter" ] } ], [ { "head": [ "42", "45", "LOC", "the Vltava river" ], "tail": [ "112", "113", "LOC", "Kampa" ] } ], [ { "head": [ "42", "45", "LOC", "the Vltava river" ], "tail": [ "115", "116", "PERSON", "Charles" ] } ], [ { "head": [ "77", "78", "FAC", "Strahov" ], "tail": [ "24", "25", "GPE", "Prague" ] } ], [ { "head": [ "77", "78", "FAC", "Strahov" ], "tail": [ "33", "36", "LOC", "the Little Quarter" ] } ], [ { "head": [ "77", "78", "FAC", "Strahov" ], "tail": [ "42", "45", "LOC", "the Vltava river" ] } ], [ { "head": [ "77", "78", "FAC", "Strahov" ], "tail": [ "109", "111", "LOC", "Little Quarter" ] } ], [ { "head": [ "77", "78", "FAC", "Strahov" ], "tail": [ "112", "113", "LOC", "Kampa" ] } ], [ { "head": [ "77", "78", "FAC", "Strahov" ], "tail": [ "115", "116", "PERSON", "Charles" ] } ], [ { "head": [ "81", "85", "DATE", "the high tourist season" ], "tail": [ "24", "25", "GPE", "Prague" ] } ], [ { "head": [ "81", "85", "DATE", "the high tourist season" ], "tail": [ "33", "36", "LOC", "the Little Quarter" ] } ], [ { "head": [ "81", "85", "DATE", "the high tourist season" ], "tail": [ "42", "45", "LOC", "the Vltava river" ] } ], [ { "head": [ "81", "85", "DATE", "the high tourist season" ], "tail": [ "109", "111", "LOC", "Little Quarter" ] } ], [ { "head": [ "81", "85", "DATE", "the high tourist season" ], "tail": [ "112", "113", "LOC", "Kampa" ] } ], [ { "head": [ "81", "85", "DATE", "the high tourist season" ], "tail": [ "115", "116", "PERSON", "Charles" ] } ], [ { "head": [ "95", "97", "FAC", "Strahov monastery" ], "tail": [ "24", "25", "GPE", "Prague" ] } ], [ { "head": [ "95", "97", "FAC", "Strahov monastery" ], "tail": [ "33", "36", "LOC", "the Little Quarter" ] } ], [ { "head": [ "95", "97", "FAC", "Strahov monastery" ], "tail": [ "42", "45", "LOC", "the Vltava river" ] } ], [ { "head": [ "95", "97", "FAC", "Strahov monastery" ], "tail": [ "109", "111", "LOC", "Little Quarter" ] } ], [ { "head": [ "95", "97", "FAC", "Strahov monastery" ], "tail": [ "112", "113", "LOC", "Kampa" ] } ], [ { "head": [ "95", "97", "FAC", "Strahov monastery" ], "tail": [ "115", "116", "PERSON", "Charles" ] } ], [ { "head": [ "103", "105", "FAC", "Prague Castle" ], "tail": [ "24", "25", "GPE", "Prague" ] } ], [ { "head": [ "103", "105", "FAC", "Prague Castle" ], "tail": [ "33", "36", "LOC", "the Little Quarter" ] } ], [ { "head": [ "103", "105", "FAC", "Prague Castle" ], "tail": [ "42", "45", "LOC", "the Vltava river" ] } ], [ { "head": [ "103", "105", "FAC", "Prague Castle" ], "tail": [ "109", "111", "LOC", "Little Quarter" ] } ], [ { "head": [ "103", "105", "FAC", "Prague Castle" ], "tail": [ "112", "113", "LOC", "Kampa" ] } ], [ { "head": [ "103", "105", "FAC", "Prague Castle" ], "tail": [ "115", "116", "PERSON", "Charles" ] } ], [ { "head": [ "109", "111", "LOC", "Little Quarter" ], "tail": [ "0", "4", "TIME", "3-4 hours" ] } ], [ { "head": [ "109", "111", "LOC", "Little Quarter" ], "tail": [ "24", "25", "GPE", "Prague" ] } ], [ { "head": [ "109", "111", "LOC", "Little Quarter" ], "tail": [ "26", "32", "FAC", "the Castle with the Castle District" ] } ], [ { "head": [ "109", "111", "LOC", "Little Quarter" ], "tail": [ "33", "36", "LOC", "the Little Quarter" ] } ], [ { "head": [ "109", "111", "LOC", "Little Quarter" ], "tail": [ "42", "45", "LOC", "the Vltava river" ] } ], [ { "head": [ "109", "111", "LOC", "Little Quarter" ], "tail": [ "77", "78", "FAC", "Strahov" ] } ], [ { "head": [ "109", "111", "LOC", "Little Quarter" ], "tail": [ "81", "85", "DATE", "the high tourist season" ] } ], [ { "head": [ "109", "111", "LOC", "Little Quarter" ], "tail": [ "95", "97", "FAC", "Strahov monastery" ] } ], [ { "head": [ "109", "111", "LOC", "Little Quarter" ], "tail": [ "103", "105", "FAC", "Prague Castle" ] } ], [ { "head": [ "109", "111", "LOC", "Little Quarter" ], "tail": [ "112", "113", "LOC", "Kampa" ] } ], [ { "head": [ "109", "111", "LOC", "Little Quarter" ], "tail": [ "115", "116", "PERSON", "Charles" ] } ], [ { "head": [ "112", "113", "LOC", "Kampa" ], "tail": [ "0", "4", "TIME", "3-4 hours" ] } ], [ { "head": [ "112", "113", "LOC", "Kampa" ], "tail": [ "24", "25", "GPE", "Prague" ] } ], [ { "head": [ "112", "113", "LOC", "Kampa" ], "tail": [ "26", "32", "FAC", "the Castle with the Castle District" ] } ], [ { "head": [ "112", "113", "LOC", "Kampa" ], "tail": [ "33", "36", "LOC", "the Little Quarter" ] } ], [ { "head": [ "112", "113", "LOC", "Kampa" ], "tail": [ "42", "45", "LOC", "the Vltava river" ] } ], [ { "head": [ "112", "113", "LOC", "Kampa" ], "tail": [ "77", "78", "FAC", "Strahov" ] } ], [ { "head": [ "112", "113", "LOC", "Kampa" ], "tail": [ "81", "85", "DATE", "the high tourist season" ] } ], [ { "head": [ "112", "113", "LOC", "Kampa" ], "tail": [ "95", "97", "FAC", "Strahov monastery" ] } ], [ { "head": [ "112", "113", "LOC", "Kampa" ], "tail": [ "103", "105", "FAC", "Prague Castle" ] } ], [ { "head": [ "112", "113", "LOC", "Kampa" ], "tail": [ "109", "111", "LOC", "Little Quarter" ] } ], [ { "head": [ "112", "113", "LOC", "Kampa" ], "tail": [ "115", "116", "PERSON", "Charles" ] } ], [ { "head": [ "115", "116", "PERSON", "Charles" ], "tail": [ "0", "4", "TIME", "3-4 hours" ] } ], [ { "head": [ "115", "116", "PERSON", "Charles" ], "tail": [ "24", "25", "GPE", "Prague" ] } ], [ { "head": [ "115", "116", "PERSON", "Charles" ], "tail": [ "26", "32", "FAC", "the Castle with the Castle District" ] } ], [ { "head": [ "115", "116", "PERSON", "Charles" ], "tail": [ "33", "36", "LOC", "the Little Quarter" ] } ], [ { "head": [ "115", "116", "PERSON", "Charles" ], "tail": [ "42", "45", "LOC", "the Vltava river" ] } ], [ { "head": [ "115", "116", "PERSON", "Charles" ], "tail": [ "77", "78", "FAC", "Strahov" ] } ], [ { "head": [ "115", "116", "PERSON", "Charles" ], "tail": [ "81", "85", "DATE", "the high tourist season" ] } ], [ { "head": [ "115", "116", "PERSON", "Charles" ], "tail": [ "95", "97", "FAC", "Strahov monastery" ] } ], [ { "head": [ "115", "116", "PERSON", "Charles" ], "tail": [ "103", "105", "FAC", "Prague Castle" ] } ], [ { "head": [ "115", "116", "PERSON", "Charles" ], "tail": [ "109", "111", "LOC", "Little Quarter" ] } ], [ { "head": [ "115", "116", "PERSON", "Charles" ], "tail": [ "112", "113", "LOC", "Kampa" ] } ] ]
[ " TIME_OF_DAY_EVENT\n Or\n EVENT_IN_LOCATION\n", " LOCATION_NEARBY", " RIVER_BANK", " INCLUDES", " IN_NEIGHBORHOOD", " A_MUST_BE_OPEN_FOR_PUBLIC_IN_HIGH_", " DURATION", " LOCATION_OF\n\n Or, if you prefer, use the following format:", " LOCATION_PART_OF\n Or\n IN_\n Or\n ", " BANKS_OF.", " NEAR\n\n Explanation:\n The text mentions that the Strah", " IN_TIME_PERIOD", " NEAR\n\n Explanation:\n The text mentions that the Strah", " CASTLE_OF\n\n Or, if no relation exists:\n NO_", " LOCATED_NEAR.", " NEAR.", " CHARLES_IS_NEAR_PRAGUE", " LOCATION_IN.", " NEARBY", " NEAR_BODY_OF_WATER", " NEARBY", " NEAR.", " NEAR\n\n Explanation:\n The text mentions that 'the Castle", " LOCATION_IN_TIME_PERIOD", " LOCATED_NEAR.", " NEAR_BY", " NEAR.", " NEAR_BY", " IN_SEASON", " NEARBY", " LOCATED_NEARBY", " SAME_AS", " NEARBY", " NEAR_LOCATION", " TIME_OF_DAY_OR_DURATION\n\n Or, if you prefer", " RIVER_BANK_OF\n\n Explanation:\n The text describes", " NEAR_BODY_OF_WATER", " NEAR.", " NEAR_BODY_OF_WATER", " MENTIONED_IN\n\n Explanation:\n The text mentions", " NEAR.\n\n Explanation:\n The text mentions that the left", " NEAR.\n\n Explanation:\n The text states that the Prague", " NEAR.", " NEXT_TO", " NEAR.\n\n Explanation:\n The text mentions that 'K", " LOCATED_NEAR.", " NEARBY", " NEAR.", " NEAR.\n\n Explanation:\n The text states that \"The left", " NEAR.", " VIEWED_BY", " TOOK_PLACE_IN", " LOCATION_IN\n\n Explanation:\n The text describes a walking", " NEAR.\n\n Explanation:\n The text mentions that 'many", " LOCATION_IN\n\n Explanation:\n In the high tourist season", " OPEN_FOR_PUBLIC", " SEASON_OF_OPENING", " LOCATED_NEAR.", " NEARBY", " NEXT_TO", " NEARBY", " NEAR.", " VIEWED_BY", " LOCATION_IN. This is the correct relation label. The Prague Castle is located", " NEAR.\n\n Explanation:\n The text states that \"The left", " NEAR.\n\n Explanation:\n The text mentions that the Pr", " NEAR.\n\n Explanation:\n The text states that \"The Little", " NEAR.", " NEAR\n\n Explanation:\n The text mentions that Prague Castle", " TIME_OF_DAY_OR_DURATION\n\n Explanation:\n", " LOCATED_NEARBY", " NEAR_BY", " SAME_AS", " NEAR.", " LOCATED_NEAR.", " IN_SEASON", " LOCATED_NEAR.", " LOCATED_NEAR.", " NEARBY", " NEAR.", " TIME_OF_DAY_OR_DURATION\n\n Explanation:\n", " NEAR\n\n Explanation:\n The text mentions that Kampa island", " NEAR.\n\n Explanation:\n The text describes a walking tour that", " NEAR.", " NEXT_TO", " NEAR.\n\n Explanation:\n The text mentions that Kampa", " OPEN_FOR_PUBLIC", " NEAR.\n\n Explanation:\n The text mentions that Kampa", " NEAR\n\n Explanation:\n The text mentions that Kampa island", " NEAR.", " NEAR.\n\n Explanation:\n The text mentions that Kampa", " TOUR_OF\n\n Or\n\n Entities: \n [{'", " CONNECTED_BY >\n The text mentions that Charles bridge is a connection", " CASTLE\n Or, if you prefer:\n CASTLE_OF\n", " LOCATION_NEARBY", " NEAR.\n\n Explanation:\n The text mentions that Charles bridge", " CHARLES_VISITED_STRAHov", " MENTIONED_IN_CONTEXT\n\n Explanation:\n The text", " NEAR\n\n Explanation:\n The text mentions that \"Charles", " CASTLE_OF\n\n Explanation:\n The text mentions that", " NEAR_BY", " NEAR." ]
[ [ "0", "4", "TIME", "3-4 hours" ], [ "24", "25", "GPE", "Prague" ], [ "26", "32", "FAC", "the Castle with the Castle District" ], [ "33", "36", "LOC", "the Little Quarter" ], [ "42", "45", "LOC", "the Vltava river" ], [ "77", "78", "FAC", "Strahov" ], [ "81", "85", "DATE", "the high tourist season" ], [ "95", "97", "FAC", "Strahov monastery" ], [ "103", "105", "FAC", "Prague Castle" ], [ "109", "111", "LOC", "Little Quarter" ], [ "112", "113", "LOC", "Kampa" ], [ "115", "116", "PERSON", "Charles" ] ]
633
635
[ "A special vinyl release of the Unloved tracks featured across all four seasons of Killing Eve. A single vinyl, featuring a die-cut sleeve and black wax.\nUnloved's music perfectly set the mood for the groundbreaking BBC show Killing Eve. Over the show's four series, their tracks helped build the world which Villanelle and Eve moved through; their sound was distinctive enough as to almost become another character. Ode To The Lovers collects together all of the Unloved tracks featured on the soundtrack to Killing Eve series 1 - 4 that have never before been released on vinyl. This collection is mesmerizing and strange, full of timeless music that swoons and seduces. Whether you watched Killing Eve or not, this is a sound made for lovers, wherever they may be." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ["A special vinyl release of the Unloved tracks featured across all four seasons of Killing Eve. A single vinyl, featuring a die-cut sleeve and black wax.\nUnloved's music perfectly set the mood for the groundbreaking BBC show Killing Eve. Over the show's four series, their tracks helped build the world which Villanelle and Eve moved through; their sound was distinctive enough as to almost become another character. Ode To The Lovers collects together all of the Unloved tracks featured on the soundtrack to Killing Eve series 1 - 4 that have never before been released on vinyl. This collection is mesmerizing and strange, full of timeless music that swoons and seduces. Whether you watched Killing Eve or not, this is a sound made for lovers, wherever they may be."] Entities: [{'head': ['6', '7', 'WORK_OF_ART', 'Unloved'], 'tail': ['32', '33', 'ORG', 'Unloved']}] Relation:
[ [ { "head": [ "6", "7", "WORK_OF_ART", "Unloved" ], "tail": [ "32", "33", "ORG", "Unloved" ] } ], [ { "head": [ "6", "7", "WORK_OF_ART", "Unloved" ], "tail": [ "42", "43", "ORG", "BBC" ] } ], [ { "head": [ "6", "7", "WORK_OF_ART", "Unloved" ], "tail": [ "61", "62", "PERSON", "Villanelle" ] } ], [ { "head": [ "6", "7", "WORK_OF_ART", "Unloved" ], "tail": [ "63", "64", "PERSON", "Eve" ] } ], [ { "head": [ "6", "7", "WORK_OF_ART", "Unloved" ], "tail": [ "88", "89", "ORG", "Unloved" ] } ], [ { "head": [ "10", "13", "DATE", "all four seasons" ], "tail": [ "32", "33", "ORG", "Unloved" ] } ], [ { "head": [ "10", "13", "DATE", "all four seasons" ], "tail": [ "42", "43", "ORG", "BBC" ] } ], [ { "head": [ "10", "13", "DATE", "all four seasons" ], "tail": [ "61", "62", "PERSON", "Villanelle" ] } ], [ { "head": [ "10", "13", "DATE", "all four seasons" ], "tail": [ "63", "64", "PERSON", "Eve" ] } ], [ { "head": [ "10", "13", "DATE", "all four seasons" ], "tail": [ "88", "89", "ORG", "Unloved" ] } ], [ { "head": [ "14", "16", "WORK_OF_ART", "Killing Eve" ], "tail": [ "32", "33", "ORG", "Unloved" ] } ], [ { "head": [ "14", "16", "WORK_OF_ART", "Killing Eve" ], "tail": [ "42", "43", "ORG", "BBC" ] } ], [ { "head": [ "14", "16", "WORK_OF_ART", "Killing Eve" ], "tail": [ "61", "62", "PERSON", "Villanelle" ] } ], [ { "head": [ "14", "16", "WORK_OF_ART", "Killing Eve" ], "tail": [ "63", "64", "PERSON", "Eve" ] } ], [ { "head": [ "14", "16", "WORK_OF_ART", "Killing Eve" ], "tail": [ "88", "89", "ORG", "Unloved" ] } ], [ { "head": [ "32", "33", "ORG", "Unloved" ], "tail": [ "6", "7", "WORK_OF_ART", "Unloved" ] } ], [ { "head": [ "32", "33", "ORG", "Unloved" ], "tail": [ "10", "13", "DATE", "all four seasons" ] } ], [ { "head": [ "32", "33", "ORG", "Unloved" ], "tail": [ "14", "16", "WORK_OF_ART", "Killing Eve" ] } ], [ { "head": [ "32", "33", "ORG", "Unloved" ], "tail": [ "42", "43", "ORG", "BBC" ] } ], [ { "head": [ "32", "33", "ORG", "Unloved" ], "tail": [ "44", "46", "WORK_OF_ART", "Killing Eve" ] } ], [ { "head": [ "32", "33", "ORG", "Unloved" ], "tail": [ "51", "52", "CARDINAL", "four" ] } ], [ { "head": [ "32", "33", "ORG", "Unloved" ], "tail": [ "61", "62", "PERSON", "Villanelle" ] } ], [ { "head": [ "32", "33", "ORG", "Unloved" ], "tail": [ "63", "64", "PERSON", "Eve" ] } ], [ { "head": [ "32", "33", "ORG", "Unloved" ], "tail": [ "79", "83", "WORK_OF_ART", "Ode To The Lovers" ] } ], [ { "head": [ "32", "33", "ORG", "Unloved" ], "tail": [ "88", "89", "ORG", "Unloved" ] } ], [ { "head": [ "32", "33", "ORG", "Unloved" ], "tail": [ "95", "97", "WORK_OF_ART", "Killing Eve" ] } ], [ { "head": [ "32", "33", "ORG", "Unloved" ], "tail": [ "98", "99", "CARDINAL", "1" ] } ], [ { "head": [ "32", "33", "ORG", "Unloved" ], "tail": [ "129", "131", "WORK_OF_ART", "Killing Eve" ] } ], [ { "head": [ "42", "43", "ORG", "BBC" ], "tail": [ "6", "7", "WORK_OF_ART", "Unloved" ] } ], [ { "head": [ "42", "43", "ORG", "BBC" ], "tail": [ "10", "13", "DATE", "all four seasons" ] } ], [ { "head": [ "42", "43", "ORG", "BBC" ], "tail": [ "14", "16", "WORK_OF_ART", "Killing Eve" ] } ], [ { "head": [ "42", "43", "ORG", "BBC" ], "tail": [ "32", "33", "ORG", "Unloved" ] } ], [ { "head": [ "42", "43", "ORG", "BBC" ], "tail": [ "44", "46", "WORK_OF_ART", "Killing Eve" ] } ], [ { "head": [ "42", "43", "ORG", "BBC" ], "tail": [ "51", "52", "CARDINAL", "four" ] } ], [ { "head": [ "42", "43", "ORG", "BBC" ], "tail": [ "61", "62", "PERSON", "Villanelle" ] } ], [ { "head": [ "42", "43", "ORG", "BBC" ], "tail": [ "63", "64", "PERSON", "Eve" ] } ], [ { "head": [ "42", "43", "ORG", "BBC" ], "tail": [ "79", "83", "WORK_OF_ART", "Ode To The Lovers" ] } ], [ { "head": [ "42", "43", "ORG", "BBC" ], "tail": [ "88", "89", "ORG", "Unloved" ] } ], [ { "head": [ "42", "43", "ORG", "BBC" ], "tail": [ "95", "97", "WORK_OF_ART", "Killing Eve" ] } ], [ { "head": [ "42", "43", "ORG", "BBC" ], "tail": [ "98", "99", "CARDINAL", "1" ] } ], [ { "head": [ "42", "43", "ORG", "BBC" ], "tail": [ "129", "131", "WORK_OF_ART", "Killing Eve" ] } ], [ { "head": [ "44", "46", "WORK_OF_ART", "Killing Eve" ], "tail": [ "32", "33", "ORG", "Unloved" ] } ], [ { "head": [ "44", "46", "WORK_OF_ART", "Killing Eve" ], "tail": [ "42", "43", "ORG", "BBC" ] } ], [ { "head": [ "44", "46", "WORK_OF_ART", "Killing Eve" ], "tail": [ "61", "62", "PERSON", "Villanelle" ] } ], [ { "head": [ "44", "46", "WORK_OF_ART", "Killing Eve" ], "tail": [ "63", "64", "PERSON", "Eve" ] } ], [ { "head": [ "44", "46", "WORK_OF_ART", "Killing Eve" ], "tail": [ "88", "89", "ORG", "Unloved" ] } ], [ { "head": [ "51", "52", "CARDINAL", "four" ], "tail": [ "32", "33", "ORG", "Unloved" ] } ], [ { "head": [ "51", "52", "CARDINAL", "four" ], "tail": [ "42", "43", "ORG", "BBC" ] } ], [ { "head": [ "51", "52", "CARDINAL", "four" ], "tail": [ "61", "62", "PERSON", "Villanelle" ] } ], [ { "head": [ "51", "52", "CARDINAL", "four" ], "tail": [ "63", "64", "PERSON", "Eve" ] } ], [ { "head": [ "51", "52", "CARDINAL", "four" ], "tail": [ "88", "89", "ORG", "Unloved" ] } ], [ { "head": [ "61", "62", "PERSON", "Villanelle" ], "tail": [ "6", "7", "WORK_OF_ART", "Unloved" ] } ], [ { "head": [ "61", "62", "PERSON", "Villanelle" ], "tail": [ "10", "13", "DATE", "all four seasons" ] } ], [ { "head": [ "61", "62", "PERSON", "Villanelle" ], "tail": [ "14", "16", "WORK_OF_ART", "Killing Eve" ] } ], [ { "head": [ "61", "62", "PERSON", "Villanelle" ], "tail": [ "32", "33", "ORG", "Unloved" ] } ], [ { "head": [ "61", "62", "PERSON", "Villanelle" ], "tail": [ "42", "43", "ORG", "BBC" ] } ], [ { "head": [ "61", "62", "PERSON", "Villanelle" ], "tail": [ "44", "46", "WORK_OF_ART", "Killing Eve" ] } ], [ { "head": [ "61", "62", "PERSON", "Villanelle" ], "tail": [ "51", "52", "CARDINAL", "four" ] } ], [ { "head": [ "61", "62", "PERSON", "Villanelle" ], "tail": [ "63", "64", "PERSON", "Eve" ] } ], [ { "head": [ "61", "62", "PERSON", "Villanelle" ], "tail": [ "79", "83", "WORK_OF_ART", "Ode To The Lovers" ] } ], [ { "head": [ "61", "62", "PERSON", "Villanelle" ], "tail": [ "88", "89", "ORG", "Unloved" ] } ], [ { "head": [ "61", "62", "PERSON", "Villanelle" ], "tail": [ "95", "97", "WORK_OF_ART", "Killing Eve" ] } ], [ { "head": [ "61", "62", "PERSON", "Villanelle" ], "tail": [ "98", "99", "CARDINAL", "1" ] } ], [ { "head": [ "61", "62", "PERSON", "Villanelle" ], "tail": [ "129", "131", "WORK_OF_ART", "Killing Eve" ] } ], [ { "head": [ "63", "64", "PERSON", "Eve" ], "tail": [ "6", "7", "WORK_OF_ART", "Unloved" ] } ], [ { "head": [ "63", "64", "PERSON", "Eve" ], "tail": [ "10", "13", "DATE", "all four seasons" ] } ], [ { "head": [ "63", "64", "PERSON", "Eve" ], "tail": [ "14", "16", "WORK_OF_ART", "Killing Eve" ] } ], [ { "head": [ "63", "64", "PERSON", "Eve" ], "tail": [ "32", "33", "ORG", "Unloved" ] } ], [ { "head": [ "63", "64", "PERSON", "Eve" ], "tail": [ "42", "43", "ORG", "BBC" ] } ], [ { "head": [ "63", "64", "PERSON", "Eve" ], "tail": [ "44", "46", "WORK_OF_ART", "Killing Eve" ] } ], [ { "head": [ "63", "64", "PERSON", "Eve" ], "tail": [ "51", "52", "CARDINAL", "four" ] } ], [ { "head": [ "63", "64", "PERSON", "Eve" ], "tail": [ "61", "62", "PERSON", "Villanelle" ] } ], [ { "head": [ "63", "64", "PERSON", "Eve" ], "tail": [ "79", "83", "WORK_OF_ART", "Ode To The Lovers" ] } ], [ { "head": [ "63", "64", "PERSON", "Eve" ], "tail": [ "88", "89", "ORG", "Unloved" ] } ], [ { "head": [ "63", "64", "PERSON", "Eve" ], "tail": [ "95", "97", "WORK_OF_ART", "Killing Eve" ] } ], [ { "head": [ "63", "64", "PERSON", "Eve" ], "tail": [ "98", "99", "CARDINAL", "1" ] } ], [ { "head": [ "63", "64", "PERSON", "Eve" ], "tail": [ "129", "131", "WORK_OF_ART", "Killing Eve" ] } ], [ { "head": [ "79", "83", "WORK_OF_ART", "Ode To The Lovers" ], "tail": [ "32", "33", "ORG", "Unloved" ] } ], [ { "head": [ "79", "83", "WORK_OF_ART", "Ode To The Lovers" ], "tail": [ "42", "43", "ORG", "BBC" ] } ], [ { "head": [ "79", "83", "WORK_OF_ART", "Ode To The Lovers" ], "tail": [ "61", "62", "PERSON", "Villanelle" ] } ], [ { "head": [ "79", "83", "WORK_OF_ART", "Ode To The Lovers" ], "tail": [ "63", "64", "PERSON", "Eve" ] } ], [ { "head": [ "79", "83", "WORK_OF_ART", "Ode To The Lovers" ], "tail": [ "88", "89", "ORG", "Unloved" ] } ], [ { "head": [ "88", "89", "ORG", "Unloved" ], "tail": [ "6", "7", "WORK_OF_ART", "Unloved" ] } ], [ { "head": [ "88", "89", "ORG", "Unloved" ], "tail": [ "10", "13", "DATE", "all four seasons" ] } ], [ { "head": [ "88", "89", "ORG", "Unloved" ], "tail": [ "14", "16", "WORK_OF_ART", "Killing Eve" ] } ], [ { "head": [ "88", "89", "ORG", "Unloved" ], "tail": [ "32", "33", "ORG", "Unloved" ] } ], [ { "head": [ "88", "89", "ORG", "Unloved" ], "tail": [ "42", "43", "ORG", "BBC" ] } ], [ { "head": [ "88", "89", "ORG", "Unloved" ], "tail": [ "44", "46", "WORK_OF_ART", "Killing Eve" ] } ], [ { "head": [ "88", "89", "ORG", "Unloved" ], "tail": [ "51", "52", "CARDINAL", "four" ] } ], [ { "head": [ "88", "89", "ORG", "Unloved" ], "tail": [ "61", "62", "PERSON", "Villanelle" ] } ], [ { "head": [ "88", "89", "ORG", "Unloved" ], "tail": [ "63", "64", "PERSON", "Eve" ] } ], [ { "head": [ "88", "89", "ORG", "Unloved" ], "tail": [ "79", "83", "WORK_OF_ART", "Ode To The Lovers" ] } ], [ { "head": [ "88", "89", "ORG", "Unloved" ], "tail": [ "95", "97", "WORK_OF_ART", "Killing Eve" ] } ], [ { "head": [ "88", "89", "ORG", "Unloved" ], "tail": [ "98", "99", "CARDINAL", "1" ] } ], [ { "head": [ "88", "89", "ORG", "Unloved" ], "tail": [ "129", "131", "WORK_OF_ART", "Killing Eve" ] } ], [ { "head": [ "95", "97", "WORK_OF_ART", "Killing Eve" ], "tail": [ "32", "33", "ORG", "Unloved" ] } ], [ { "head": [ "95", "97", "WORK_OF_ART", "Killing Eve" ], "tail": [ "42", "43", "ORG", "BBC" ] } ], [ { "head": [ "95", "97", "WORK_OF_ART", "Killing Eve" ], "tail": [ "61", "62", "PERSON", "Villanelle" ] } ], [ { "head": [ "95", "97", "WORK_OF_ART", "Killing Eve" ], "tail": [ "63", "64", "PERSON", "Eve" ] } ], [ { "head": [ "95", "97", "WORK_OF_ART", "Killing Eve" ], "tail": [ "88", "89", "ORG", "Unloved" ] } ], [ { "head": [ "98", "99", "CARDINAL", "1" ], "tail": [ "32", "33", "ORG", "Unloved" ] } ], [ { "head": [ "98", "99", "CARDINAL", "1" ], "tail": [ "42", "43", "ORG", "BBC" ] } ], [ { "head": [ "98", "99", "CARDINAL", "1" ], "tail": [ "61", "62", "PERSON", "Villanelle" ] } ], [ { "head": [ "98", "99", "CARDINAL", "1" ], "tail": [ "63", "64", "PERSON", "Eve" ] } ], [ { "head": [ "98", "99", "CARDINAL", "1" ], "tail": [ "88", "89", "ORG", "Unloved" ] } ], [ { "head": [ "129", "131", "WORK_OF_ART", "Killing Eve" ], "tail": [ "32", "33", "ORG", "Unloved" ] } ], [ { "head": [ "129", "131", "WORK_OF_ART", "Killing Eve" ], "tail": [ "42", "43", "ORG", "BBC" ] } ], [ { "head": [ "129", "131", "WORK_OF_ART", "Killing Eve" ], "tail": [ "61", "62", "PERSON", "Villanelle" ] } ], [ { "head": [ "129", "131", "WORK_OF_ART", "Killing Eve" ], "tail": [ "63", "64", "PERSON", "Eve" ] } ], [ { "head": [ "129", "131", "WORK_OF_ART", "Killing Eve" ], "tail": [ "88", "89", "ORG", "Unloved" ] } ] ]
[ " WORK_OF_ART_OF\n Or, if you prefer, you could also", " SOUNDTRACK_OF", " SET_MOOD_FOR", " SET_MOOD_FOR", " WORK_OF_ART_IS_PRODUCED_BY\n ORG", " FEATURED_IN", " BROADCASTED_FOR\n\n Explanation:\n The text states", " MOVED_THROUGH", " BACKGROUND_MUSIC", " FEATURED_IN", " SOUNDTRACK", " BROADCASTING_ORGANIZATION_FOR_WORK_OF_ART", " SET_MOOD_FOR", " SETS_MOOD_FOR", " SOUNDTRACK", " WORK_OF_ART", " MUSIC_FOR\n\n Explanation:\n The text states that Un", " SOUNDTRACK", " SOUNDTRACK_FOR", " SOUNDTRACK", " FEATURED_IN", " SET_MOOD_FOR", " SET_MOOD_FOR", " CREATED_BY", " SAME_ORGANIZATION", " SOUNDTRACK", " RECORDED_MUSIC_FOR\n\n Explanation:\n ", " SOUNDTRACK", " SOUNDTRACK_OF", " FEATURED_IN", " SOUNDTRACK", " FEATURED_IN", " SOUNDTRACK", " PRODUCED_BY", " MOVED_THROUGH", " SET_THE_MOOD_FOR", " SOUNDTRACK", " FEATURED_IN", " SOUNDTRACK", " PRODUCED_MUSIC_FOR", " SOUNDTRACK", " SOUNDTRACK", " BROADCASTING_ORGANIZATION_PRODUCED", " MOOD_SETTER", " SET_THE_MOOD_FOR", " SOUNDTRACK", " FEATURED_IN", " SOUNDTRACK_OF", " MOVED_THROUGH", " MOVED_THROUGH", " FEATURED_IN", " FEATURED_IN", " MOVED_THROUGH", " MOVED_THROUGH", " CREATED_MUSIC_FOR", " MOVED_THROUGH", " MOVED_THROUGH", " MOVED_THROUGH", " MOVED_THROUGH", " FEATURED_IN", " CREATED_MUSIC_FOR", " MOVED_THROUGH", " MOVED_THROUGH", " MOVED_THROUGH", " FEATURED_IN", " FEATURED_IN", " SOUNDTRACK", " CREATED_MUSIC_FOR", " BROADCASTS_THEME_FOR", " SOUNDTRACK", " FOUR_SEASONS_OF", " MOVED_THROUGH", " CREATED_BY", " CREATED_MUSIC_FOR", " SOUNDTRACK", " FEATURED_IN", " SOUNDTRACK", " CREATED_BY", " SOUNDTRACK_OF", " FEATURED_IN", " FEATURED_IN", " CREATED_BY", " WORK_OF_ART", " FEATURED_IN", " SOUNDTRACK", " SAME_ORGANIZATION", " SOUNDTRACK_FOR", " SOUNDTRACK", " FEATURED_IN", " SET_MOOD_FOR", " SET_MOOD_FOR", " CREATED_BY", " SOUNDTRACK", " RECORDED_MUSIC_OF", " SOUNDTRACK", " SOUNDTRACK", " BROADCASTING_ORGANIZATION_PRODUCED_WORK_", " MOOD_SETTER", " SET_MOOD_FOR", " SOUNDTRACK", " COMPOSITION \n\n Explanation:\n The text describes how Unl", " SOUNDTRACK_OF", " MOOD_SETTER\n\n Explanation:\n The text describes how Un", " FEATURED_IN", " COMPOSITION \n\n Explanation:\n The text describes how Unl", " SOUNDTRACK", " SOUNDTRACK_OF", " SET_MOOD_FOR", " SETS_MOOD_FOR", " SOUNDTRACK" ]
[ [ "6", "7", "WORK_OF_ART", "Unloved" ], [ "10", "13", "DATE", "all four seasons" ], [ "14", "16", "WORK_OF_ART", "Killing Eve" ], [ "32", "33", "ORG", "Unloved" ], [ "42", "43", "ORG", "BBC" ], [ "44", "46", "WORK_OF_ART", "Killing Eve" ], [ "51", "52", "CARDINAL", "four" ], [ "61", "62", "PERSON", "Villanelle" ], [ "63", "64", "PERSON", "Eve" ], [ "79", "83", "WORK_OF_ART", "Ode To The Lovers" ], [ "88", "89", "ORG", "Unloved" ], [ "95", "97", "WORK_OF_ART", "Killing Eve" ], [ "98", "99", "CARDINAL", "1" ], [ "129", "131", "WORK_OF_ART", "Killing Eve" ] ]
634
636
[ "Entice customers to sign up for your mailing list with discounts or exclusive offers. Include an image for extra impact.\nPrices are an approximation based on exchangerates supplied daily by the European Central Bank\nThis medium hat is a beanie with an oval shape and a ribbed knit edge. When worn it has a slightly loose volume at top.\nFrom the Rick Owens SS23 EDFU collection\nMaterial: 100% new merino wool\nI have read and understood the terms and conditions" ]
[ [ "Entice", "customers", "to", "sign", "up", "for", "your", "mailing", "list", "with", "discounts", "or", "exclusive", "offers", ".", "Include", "an", "image", "for", "extra", "impact", ".", "\n", "Prices", "are", "an", "approximation", "based", "on", "exchangerates", "supplied", "daily", "by", "the", "European", "Central", "Bank", "\n", "This", "medium", "hat", "is", "a", "beanie", "with", "an", "oval", "shape", "and", "a", "ribbed", "knit", "edge", ".", "When", "worn", "it", "has", "a", "slightly", "loose", "volume", "at", "top", ".", "\n", "From", "the", "Rick", "Owens", "SS23", "EDFU", "collection", "\n", "Material", ":", "100", "%", "new", "merino", "wool", "\n", "I", "have", "read", "and", "understood", "the", "terms", "and", "conditions" ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Entice customers to sign up for your mailing list with discounts or exclusive offers. Include an image for extra impact.\nPrices are an approximation based on exchangerates supplied daily by the European Central Bank\nThis medium hat is a beanie with an oval shape and a ribbed knit edge. When worn it has a slightly loose volume at top.\nFrom the Rick Owens SS23 EDFU collection\nMaterial: 100% new merino wool\nI have read and understood the terms and conditions'] Entities: [{'head': ['31', '32', 'DATE', 'daily'], 'tail': ['33', '37', 'ORG', 'the European Central Bank']}] Relation:
[ [ { "head": [ "31", "32", "DATE", "daily" ], "tail": [ "33", "37", "ORG", "the European Central Bank" ] } ], [ { "head": [ "31", "32", "DATE", "daily" ], "tail": [ "68", "70", "PERSON", "Rick Owens" ] } ], [ { "head": [ "33", "37", "ORG", "the European Central Bank" ], "tail": [ "31", "32", "DATE", "daily" ] } ], [ { "head": [ "33", "37", "ORG", "the European Central Bank" ], "tail": [ "68", "70", "PERSON", "Rick Owens" ] } ], [ { "head": [ "33", "37", "ORG", "the European Central Bank" ], "tail": [ "76", "78", "PERCENT", "100%" ] } ], [ { "head": [ "68", "70", "PERSON", "Rick Owens" ], "tail": [ "31", "32", "DATE", "daily" ] } ], [ { "head": [ "68", "70", "PERSON", "Rick Owens" ], "tail": [ "33", "37", "ORG", "the European Central Bank" ] } ], [ { "head": [ "68", "70", "PERSON", "Rick Owens" ], "tail": [ "76", "78", "PERCENT", "100%" ] } ], [ { "head": [ "76", "78", "PERCENT", "100%" ], "tail": [ "33", "37", "ORG", "the European Central Bank" ] } ], [ { "head": [ "76", "78", "PERCENT", "100%" ], "tail": [ "68", "70", "PERSON", "Rick Owens" ] } ] ]
[ " APPROXIMATION_FROM", " PROVIDES_DATA_FOR", " APPROXIMATION", " APPROXIMATES", " APPROXIMATION", " APPROXIMATION_BY_ENTITY\n\n Explanation:\n ", " APPROXIMATES", " MANUFACTURED_FROM\n\n Explanation:\n The", " APPROXIMATION_FROM\n\n Explanation:\n The entities represent", " DESIGNER_OF" ]
[ [ "31", "32", "DATE", "daily" ], [ "33", "37", "ORG", "the European Central Bank" ], [ "68", "70", "PERSON", "Rick Owens" ], [ "76", "78", "PERCENT", "100%" ] ]
635
637
[ "890b.6363 Gulf Oil Corporation/20: Telegram\nThe Secretary of State to the Chargé in Great Britain (Atherton)\n50. Your despatch 2482, December 29, 1931. If you have not received the reply promised by Oliphant please take up the matter again informally with the Foreign Office. Explain that the Department does not wish to be unduly insistent in this matter, but since the whole question has been under consideration by the interested departments of the British Government for some time it is hoped that a reply may soon be received." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['890b.6363 Gulf Oil Corporation/20: Telegram\nThe Secretary of State to the Chargé in Great Britain (Atherton)\n50. Your despatch 2482, December 29, 1931. If you have not received the reply promised by Oliphant please take up the matter again informally with the Foreign Office. Explain that the Department does not wish to be unduly insistent in this matter, but since the whole question has been under consideration by the interested departments of the British Government for some time it is hoped that a reply may soon be received.'] Entities: [{'head': ['10', '11', 'ORG', 'State'], 'tail': ['15', '17', 'GPE', 'Great Britain']}] Relation:
[ [ { "head": [ "10", "11", "ORG", "State" ], "tail": [ "15", "17", "GPE", "Great Britain" ] } ], [ { "head": [ "10", "11", "ORG", "State" ], "tail": [ "18", "19", "PERSON", "Atherton" ] } ], [ { "head": [ "10", "11", "ORG", "State" ], "tail": [ "25", "26", "CARDINAL", "2482" ] } ], [ { "head": [ "10", "11", "ORG", "State" ], "tail": [ "27", "31", "DATE", "December 29, 1931" ] } ], [ { "head": [ "10", "11", "ORG", "State" ], "tail": [ "41", "42", "PERSON", "Oliphant" ] } ], [ { "head": [ "10", "11", "ORG", "State" ], "tail": [ "50", "53", "ORG", "the Foreign Office" ] } ], [ { "head": [ "10", "11", "ORG", "State" ], "tail": [ "57", "58", "ORG", "Department" ] } ], [ { "head": [ "10", "11", "ORG", "State" ], "tail": [ "83", "86", "ORG", "the British Government" ] } ], [ { "head": [ "15", "17", "GPE", "Great Britain" ], "tail": [ "10", "11", "ORG", "State" ] } ], [ { "head": [ "15", "17", "GPE", "Great Britain" ], "tail": [ "18", "19", "PERSON", "Atherton" ] } ], [ { "head": [ "15", "17", "GPE", "Great Britain" ], "tail": [ "25", "26", "CARDINAL", "2482" ] } ], [ { "head": [ "15", "17", "GPE", "Great Britain" ], "tail": [ "27", "31", "DATE", "December 29, 1931" ] } ], [ { "head": [ "15", "17", "GPE", "Great Britain" ], "tail": [ "41", "42", "PERSON", "Oliphant" ] } ], [ { "head": [ "15", "17", "GPE", "Great Britain" ], "tail": [ "50", "53", "ORG", "the Foreign Office" ] } ], [ { "head": [ "15", "17", "GPE", "Great Britain" ], "tail": [ "57", "58", "ORG", "Department" ] } ], [ { "head": [ "15", "17", "GPE", "Great Britain" ], "tail": [ "83", "86", "ORG", "the British Government" ] } ], [ { "head": [ "18", "19", "PERSON", "Atherton" ], "tail": [ "10", "11", "ORG", "State" ] } ], [ { "head": [ "18", "19", "PERSON", "Atherton" ], "tail": [ "15", "17", "GPE", "Great Britain" ] } ], [ { "head": [ "18", "19", "PERSON", "Atherton" ], "tail": [ "25", "26", "CARDINAL", "2482" ] } ], [ { "head": [ "18", "19", "PERSON", "Atherton" ], "tail": [ "27", "31", "DATE", "December 29, 1931" ] } ], [ { "head": [ "18", "19", "PERSON", "Atherton" ], "tail": [ "41", "42", "PERSON", "Oliphant" ] } ], [ { "head": [ "18", "19", "PERSON", "Atherton" ], "tail": [ "50", "53", "ORG", "the Foreign Office" ] } ], [ { "head": [ "18", "19", "PERSON", "Atherton" ], "tail": [ "57", "58", "ORG", "Department" ] } ], [ { "head": [ "18", "19", "PERSON", "Atherton" ], "tail": [ "83", "86", "ORG", "the British Government" ] } ], [ { "head": [ "25", "26", "CARDINAL", "2482" ], "tail": [ "10", "11", "ORG", "State" ] } ], [ { "head": [ "25", "26", "CARDINAL", "2482" ], "tail": [ "15", "17", "GPE", "Great Britain" ] } ], [ { "head": [ "25", "26", "CARDINAL", "2482" ], "tail": [ "18", "19", "PERSON", "Atherton" ] } ], [ { "head": [ "25", "26", "CARDINAL", "2482" ], "tail": [ "41", "42", "PERSON", "Oliphant" ] } ], [ { "head": [ "25", "26", "CARDINAL", "2482" ], "tail": [ "50", "53", "ORG", "the Foreign Office" ] } ], [ { "head": [ "25", "26", "CARDINAL", "2482" ], "tail": [ "57", "58", "ORG", "Department" ] } ], [ { "head": [ "25", "26", "CARDINAL", "2482" ], "tail": [ "83", "86", "ORG", "the British Government" ] } ], [ { "head": [ "27", "31", "DATE", "December 29, 1931" ], "tail": [ "10", "11", "ORG", "State" ] } ], [ { "head": [ "27", "31", "DATE", "December 29, 1931" ], "tail": [ "15", "17", "GPE", "Great Britain" ] } ], [ { "head": [ "27", "31", "DATE", "December 29, 1931" ], "tail": [ "18", "19", "PERSON", "Atherton" ] } ], [ { "head": [ "27", "31", "DATE", "December 29, 1931" ], "tail": [ "41", "42", "PERSON", "Oliphant" ] } ], [ { "head": [ "27", "31", "DATE", "December 29, 1931" ], "tail": [ "50", "53", "ORG", "the Foreign Office" ] } ], [ { "head": [ "27", "31", "DATE", "December 29, 1931" ], "tail": [ "57", "58", "ORG", "Department" ] } ], [ { "head": [ "27", "31", "DATE", "December 29, 1931" ], "tail": [ "83", "86", "ORG", "the British Government" ] } ], [ { "head": [ "41", "42", "PERSON", "Oliphant" ], "tail": [ "10", "11", "ORG", "State" ] } ], [ { "head": [ "41", "42", "PERSON", "Oliphant" ], "tail": [ "15", "17", "GPE", "Great Britain" ] } ], [ { "head": [ "41", "42", "PERSON", "Oliphant" ], "tail": [ "18", "19", "PERSON", "Atherton" ] } ], [ { "head": [ "41", "42", "PERSON", "Oliphant" ], "tail": [ "25", "26", "CARDINAL", "2482" ] } ], [ { "head": [ "41", "42", "PERSON", "Oliphant" ], "tail": [ "27", "31", "DATE", "December 29, 1931" ] } ], [ { "head": [ "41", "42", "PERSON", "Oliphant" ], "tail": [ "50", "53", "ORG", "the Foreign Office" ] } ], [ { "head": [ "41", "42", "PERSON", "Oliphant" ], "tail": [ "57", "58", "ORG", "Department" ] } ], [ { "head": [ "41", "42", "PERSON", "Oliphant" ], "tail": [ "83", "86", "ORG", "the British Government" ] } ], [ { "head": [ "50", "53", "ORG", "the Foreign Office" ], "tail": [ "10", "11", "ORG", "State" ] } ], [ { "head": [ "50", "53", "ORG", "the Foreign Office" ], "tail": [ "15", "17", "GPE", "Great Britain" ] } ], [ { "head": [ "50", "53", "ORG", "the Foreign Office" ], "tail": [ "18", "19", "PERSON", "Atherton" ] } ], [ { "head": [ "50", "53", "ORG", "the Foreign Office" ], "tail": [ "25", "26", "CARDINAL", "2482" ] } ], [ { "head": [ "50", "53", "ORG", "the Foreign Office" ], "tail": [ "27", "31", "DATE", "December 29, 1931" ] } ], [ { "head": [ "50", "53", "ORG", "the Foreign Office" ], "tail": [ "41", "42", "PERSON", "Oliphant" ] } ], [ { "head": [ "50", "53", "ORG", "the Foreign Office" ], "tail": [ "57", "58", "ORG", "Department" ] } ], [ { "head": [ "50", "53", "ORG", "the Foreign Office" ], "tail": [ "83", "86", "ORG", "the British Government" ] } ], [ { "head": [ "57", "58", "ORG", "Department" ], "tail": [ "10", "11", "ORG", "State" ] } ], [ { "head": [ "57", "58", "ORG", "Department" ], "tail": [ "15", "17", "GPE", "Great Britain" ] } ], [ { "head": [ "57", "58", "ORG", "Department" ], "tail": [ "18", "19", "PERSON", "Atherton" ] } ], [ { "head": [ "57", "58", "ORG", "Department" ], "tail": [ "25", "26", "CARDINAL", "2482" ] } ], [ { "head": [ "57", "58", "ORG", "Department" ], "tail": [ "27", "31", "DATE", "December 29, 1931" ] } ], [ { "head": [ "57", "58", "ORG", "Department" ], "tail": [ "41", "42", "PERSON", "Oliphant" ] } ], [ { "head": [ "57", "58", "ORG", "Department" ], "tail": [ "50", "53", "ORG", "the Foreign Office" ] } ], [ { "head": [ "57", "58", "ORG", "Department" ], "tail": [ "83", "86", "ORG", "the British Government" ] } ], [ { "head": [ "83", "86", "ORG", "the British Government" ], "tail": [ "10", "11", "ORG", "State" ] } ], [ { "head": [ "83", "86", "ORG", "the British Government" ], "tail": [ "15", "17", "GPE", "Great Britain" ] } ], [ { "head": [ "83", "86", "ORG", "the British Government" ], "tail": [ "18", "19", "PERSON", "Atherton" ] } ], [ { "head": [ "83", "86", "ORG", "the British Government" ], "tail": [ "25", "26", "CARDINAL", "2482" ] } ], [ { "head": [ "83", "86", "ORG", "the British Government" ], "tail": [ "27", "31", "DATE", "December 29, 1931" ] } ], [ { "head": [ "83", "86", "ORG", "the British Government" ], "tail": [ "41", "42", "PERSON", "Oliphant" ] } ], [ { "head": [ "83", "86", "ORG", "the British Government" ], "tail": [ "50", "53", "ORG", "the Foreign Office" ] } ], [ { "head": [ "83", "86", "ORG", "the British Government" ], "tail": [ "57", "58", "ORG", "Department" ] } ] ]
[ " SENDER_OF\n\n Explanation:\n The text describes the Secretary", " SENDER", " REFERRED_TO", " SENT_ON\n\n Explanation:\n The text describes the Secretary of", " INFORMED_BY", " INFORMED_BY", " SENDER_OF\n\n Explanation:\n The text describes the Secretary", " GOVERNMENT_OF\n\n Explanation:\n The text mentions", " SENDER_OF\n\n Explanation:\n The text describes the Secretary", " LOCATION_OF\n or\n GOVERNMENT_OF\n or", " SENT_BY", " LOCATION_OF_EVENT", " GOVERNMENT_OF\n or\n GOVERNMENT_AGENT\n", " GOVERNMENT_OF\n or\n ADMINISTRATION_OF", " GOVERNMENT_OF\n or\n GOVERNMENT_ADMINI", " GOVERNMENT_OF", " CHARGED_WITH\n\n Explanation:\n The text mentions that", " LOCATION_OF\n or\n DIPLOMATIC_MISSION_", " REPLIED_TO", " INFORMAL_COMMUNICATION_WITH\n or\n NO_RELATION (", " INFORMAL_COMMUNICATION", " INFORMAL_COMMUNICATION", " CHANNEL_OF_COMMUNICATION", " REPRESENTS\n\n Explanation:\n The text mentions that", " SENT_MESSAGE_TO", " SENDER_OF\n or\n SENT_BY\n\n Explan", " SENT_MESSAGE_TO", " REPLIED_TO", " INFORM_OF\n or\n INFORMAL_COMMUNICATION_WITH", " SENT_MESSAGE_TO", " GOVERNMENT_OF\n\n Explanation:\n The text mentions", " SENT_MESSAGE_TO", " LOCATION_OF\n or\n GOVERNMENT_OF\n or", " SENDER_OF\n\n Explanation:\n The text describes the Secretary", " WAITED_FOR", " INFORMAL_COMMUNICATION", " SENT_MESSAGE_TO", " GOVERNMENT_OF\n\n Explanation:\n The text mentions", " RECIPROCAL_CONTACT", " INFORMAL_CONTACT_WITH", " SPOKES_FOR", " WRITTEN_BY", " PROMISED_DATE_BY", " INFORMAL_CONTACTOR_OF\n OR:\n CONTACT", " REPRESENTS\n\n Explanation:\n In the text, Ol", " GOVERNMENT_OF\n\n Explanation:\n The text mentions", " SENDER_OF\n or\n SENT_BY\n\n Explan", " GOVERNMENT_OF\n or\n LOCATION_OF\n or", " SENDER_OF\n OR:\n ADDRESSER_OF\n OR", " REPLIED_TO", " 'ORGANIZATION_HAS_EVENT'", " GOVERNMENT_AGENCY_HEAD_OF\n or\n HEAD", " GOVERNMENT\n ORGANIZATION_OF\n ORGANIZ", " PART_OF\n\n Explanation:\n The text indicates that 'the Foreign", " SENDER_OF\n\n Explanation:\n The Department is the sender", " INFORMAL_COMMUNICATION_WITH", " INFORMANT", " SENT_MESSAGE_WITH_ID", " DISCUSSION_ON\n or\n CONSIDERATION_OF\n ", " INFORMED_BY", " INFORMED_BY", " INTERESTED_IN", " GOVERNMENT_OF\n\n Explanation:\n The text mentions", " GOVERNMENT_OF\n or\n GOVERNMENT\n or\n", " GOVERNMENT_OF\n ORGANIZATION_MEMBER\n OR", " GOVERNMENT_OF\n ORG_HAS_ID\n ORG_", " GOVERNMENT_OF\n ORGANIZATION_HAS_DATE\n ", " GOVERNMENT_OF\n or\n GOVERNMENT_AGENCY", " GOVERNMENT_OF\n ORGANIZATION_PART_OF\n ", " GOVERNMENT_OF\n or\n INSTANCE_OF\n or" ]
[ [ "10", "11", "ORG", "State" ], [ "15", "17", "GPE", "Great Britain" ], [ "18", "19", "PERSON", "Atherton" ], [ "25", "26", "CARDINAL", "2482" ], [ "27", "31", "DATE", "December 29, 1931" ], [ "41", "42", "PERSON", "Oliphant" ], [ "50", "53", "ORG", "the Foreign Office" ], [ "57", "58", "ORG", "Department" ], [ "83", "86", "ORG", "the British Government" ] ]
636
638
[ "Mary Bridges Canady Slade USA 1826-1882. Born in Fall River, MA, she was well-educated and became a minister's wife, teacher, and poet. She was assistant editor of The New England Journal of Education. She also authored hymns, Sunday school materials and books on education, primarily used for training teachers. She authored a children's magazine, “Wide-awake”. She and her husband were active in the underground railroad (helping slaves achieve their freedom). She spent her whole life living in the same town.\nGo to person page >" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ["Mary Bridges Canady Slade USA 1826-1882. Born in Fall River, MA, she was well-educated and became a minister's wife, teacher, and poet. She was assistant editor of The New England Journal of Education. She also authored hymns, Sunday school materials and books on education, primarily used for training teachers. She authored a children's magazine, “Wide-awake”. She and her husband were active in the underground railroad (helping slaves achieve their freedom). She spent her whole life living in the same town.\nGo to person page >"] Entities: [{'head': ['0', '4', 'PERSON', 'Mary Bridges Canady Slade'], 'tail': ['5', '8', 'DATE', '1826-1882']}] Relation:
[ [ { "head": [ "0", "4", "PERSON", "Mary Bridges Canady Slade" ], "tail": [ "5", "8", "DATE", "1826-1882" ] } ], [ { "head": [ "0", "4", "PERSON", "Mary Bridges Canady Slade" ], "tail": [ "11", "13", "GPE", "Fall River" ] } ], [ { "head": [ "0", "4", "PERSON", "Mary Bridges Canady Slade" ], "tail": [ "14", "15", "GPE", "MA" ] } ], [ { "head": [ "0", "4", "PERSON", "Mary Bridges Canady Slade" ], "tail": [ "38", "44", "ORG", "The New England Journal of Education" ] } ], [ { "head": [ "0", "4", "PERSON", "Mary Bridges Canady Slade" ], "tail": [ "50", "51", "DATE", "Sunday" ] } ], [ { "head": [ "0", "4", "PERSON", "Mary Bridges Canady Slade" ], "tail": [ "72", "75", "WORK_OF_ART", "Wide-awake" ] } ], [ { "head": [ "5", "8", "DATE", "1826-1882" ], "tail": [ "0", "4", "PERSON", "Mary Bridges Canady Slade" ] } ], [ { "head": [ "5", "8", "DATE", "1826-1882" ], "tail": [ "11", "13", "GPE", "Fall River" ] } ], [ { "head": [ "5", "8", "DATE", "1826-1882" ], "tail": [ "14", "15", "GPE", "MA" ] } ], [ { "head": [ "5", "8", "DATE", "1826-1882" ], "tail": [ "38", "44", "ORG", "The New England Journal of Education" ] } ], [ { "head": [ "11", "13", "GPE", "Fall River" ], "tail": [ "0", "4", "PERSON", "Mary Bridges Canady Slade" ] } ], [ { "head": [ "11", "13", "GPE", "Fall River" ], "tail": [ "5", "8", "DATE", "1826-1882" ] } ], [ { "head": [ "11", "13", "GPE", "Fall River" ], "tail": [ "14", "15", "GPE", "MA" ] } ], [ { "head": [ "11", "13", "GPE", "Fall River" ], "tail": [ "38", "44", "ORG", "The New England Journal of Education" ] } ], [ { "head": [ "11", "13", "GPE", "Fall River" ], "tail": [ "50", "51", "DATE", "Sunday" ] } ], [ { "head": [ "11", "13", "GPE", "Fall River" ], "tail": [ "72", "75", "WORK_OF_ART", "Wide-awake" ] } ], [ { "head": [ "14", "15", "GPE", "MA" ], "tail": [ "0", "4", "PERSON", "Mary Bridges Canady Slade" ] } ], [ { "head": [ "14", "15", "GPE", "MA" ], "tail": [ "5", "8", "DATE", "1826-1882" ] } ], [ { "head": [ "14", "15", "GPE", "MA" ], "tail": [ "11", "13", "GPE", "Fall River" ] } ], [ { "head": [ "14", "15", "GPE", "MA" ], "tail": [ "38", "44", "ORG", "The New England Journal of Education" ] } ], [ { "head": [ "14", "15", "GPE", "MA" ], "tail": [ "50", "51", "DATE", "Sunday" ] } ], [ { "head": [ "14", "15", "GPE", "MA" ], "tail": [ "72", "75", "WORK_OF_ART", "Wide-awake" ] } ], [ { "head": [ "38", "44", "ORG", "The New England Journal of Education" ], "tail": [ "0", "4", "PERSON", "Mary Bridges Canady Slade" ] } ], [ { "head": [ "38", "44", "ORG", "The New England Journal of Education" ], "tail": [ "5", "8", "DATE", "1826-1882" ] } ], [ { "head": [ "38", "44", "ORG", "The New England Journal of Education" ], "tail": [ "11", "13", "GPE", "Fall River" ] } ], [ { "head": [ "38", "44", "ORG", "The New England Journal of Education" ], "tail": [ "14", "15", "GPE", "MA" ] } ], [ { "head": [ "38", "44", "ORG", "The New England Journal of Education" ], "tail": [ "50", "51", "DATE", "Sunday" ] } ], [ { "head": [ "38", "44", "ORG", "The New England Journal of Education" ], "tail": [ "72", "75", "WORK_OF_ART", "Wide-awake" ] } ], [ { "head": [ "50", "51", "DATE", "Sunday" ], "tail": [ "0", "4", "PERSON", "Mary Bridges Canady Slade" ] } ], [ { "head": [ "50", "51", "DATE", "Sunday" ], "tail": [ "11", "13", "GPE", "Fall River" ] } ], [ { "head": [ "50", "51", "DATE", "Sunday" ], "tail": [ "14", "15", "GPE", "MA" ] } ], [ { "head": [ "50", "51", "DATE", "Sunday" ], "tail": [ "38", "44", "ORG", "The New England Journal of Education" ] } ], [ { "head": [ "72", "75", "WORK_OF_ART", "Wide-awake" ], "tail": [ "0", "4", "PERSON", "Mary Bridges Canady Slade" ] } ], [ { "head": [ "72", "75", "WORK_OF_ART", "Wide-awake" ], "tail": [ "11", "13", "GPE", "Fall River" ] } ], [ { "head": [ "72", "75", "WORK_OF_ART", "Wide-awake" ], "tail": [ "14", "15", "GPE", "MA" ] } ], [ { "head": [ "72", "75", "WORK_OF_ART", "Wide-awake" ], "tail": [ "38", "44", "ORG", "The New England Journal of Education" ] } ] ]
[ " BIRTH_YEARS", " BORN_IN.", " BORN_IN.", " ASSISTED_BY", " NO_RELATION", " AUTHOR", " PERSON_BIRTH_DATE", " BORN_IN.", " BORN_IN.", " ASSISTED_BY", " BORN_IN.", " BORN_IN", " Born_in.", " ASSOC_WITH", " NO_RELATION", " ORIGINATED_FROM", " BORN_IN.", " BORN_IN.", " BORN_IN.", " ASSOC_WITH", " NO_RELATION", " AUTHOR_OF", " ASSISTED_BY", " ASSOCIATED_WITH", " ORGANIZED_IN\n\n Explanation:\n In the text", " PUBLISHED_IN", " ASSOCIATED_WITH_ORGANIZATION", " PUBLISHED_WORK", " AUTHOR_OF", " BORN_IN.", " BORN_IN.", " ASSOC_WITH", " AUTHOR_OF", " ORIGIN_IN.", " ORIGIN_IN.", " ASSOCIATED_WITH" ]
[ [ "0", "4", "PERSON", "Mary Bridges Canady Slade" ], [ "5", "8", "DATE", "1826-1882" ], [ "11", "13", "GPE", "Fall River" ], [ "14", "15", "GPE", "MA" ], [ "38", "44", "ORG", "The New England Journal of Education" ], [ "50", "51", "DATE", "Sunday" ], [ "72", "75", "WORK_OF_ART", "Wide-awake" ] ]
637
639
[ "Black Chully, a Nigerian TikTok star, has been accused of ‘lying about not knowing how her s3x tape got into public domain.’\nKUBILIVE previously reported that Black Chully sobbed profusely during a live session to address the scandal as her x-rated videos spread on various social media platforms. She claimed in the video that she had no idea how the nude videos were leaked to the public.\nHowever, according to some Twitter users, she has been hosting live videos of her s3x content on Instagram since 2020. They also claimed that she was selling s3x tapes on her deactivated Instagram account for N5k.\nThe Twitter users also shared ‘proof’ of their claims.\nSee some tweets below.\nHere are screenshots of purported videos of her masturbating on Instagram live with others, which were shared on Twitter as far back as 8 April, 2021 and" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Black Chully, a Nigerian TikTok star, has been accused of ‘lying about not knowing how her s3x tape got into public domain.’\nKUBILIVE previously reported that Black Chully sobbed profusely during a live session to address the scandal as her x-rated videos spread on various social media platforms. She claimed in the video that she had no idea how the nude videos were leaked to the public.\nHowever, according to some Twitter users, she has been hosting live videos of her s3x content on Instagram since 2020. They also claimed that she was selling s3x tapes on her deactivated Instagram account for N5k.\nThe Twitter users also shared ‘proof’ of their claims.\nSee some tweets below.\nHere are screenshots of purported videos of her masturbating on Instagram live with others, which were shared on Twitter as far back as 8 April, 2021 and'] Entities: [{'head': ['0', '2', 'PERSON', 'Black Chully'], 'tail': ['4', '5', 'NORP', 'Nigerian']}] Relation:
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[ " NATIONALITY", " IS_ASSOCIATED_WITH", " REPORTED_BY", " SELF", " SPOKE_ABOUT", " LIVE_STREAMED_ON", " HOSTED_CONTENT_BEFORE", " LIVE_STREAMED_ON", " SOLD_PRODUCT", " SPOKE_ABOUT", " SPREADS_INFO_ABOUT", " SPOKE_ABOUT\n\n Explanation:\n The text mentions", " NATIONALITY", " NATIONALITY\n\n Explanation:\n The text states that 'Black", " REPORTED_BY", " NATIONALITY", " SPOKE_ABOUT", " USED_PLATFORM", " HOSTED_ON", " SHARED_ON\n\n Explanation:\n The text states that \"", " SHARED_ON\n\n Explanation:\n The text states that \"", " TIKTOK_STAR.\n\n Explanation:\n The", " NATIONALITY_OF\n\n Explanation:\n The text states that", " REPORTED_BY", " TIKTOK_STAR.\n\n Explanation:\n The", " DISPUTED_BY. The TikTok star is disputed by Twitter users.", " USED_PLATFORM_FOR_SEXUAL_CONTENT", " STARTED_IN.", " USED_PLATFORM_FOR_SEXUAL_CONTENT", " SOLD_PRODUCT", " SPREADS_ON. (The TikTok content spread on Twitter)", " SPREADS_ON\n\n Explanation:\n The text states that", " POSTED_BEFORE", " REPORTED_BY", " REPORTED_FROM", " REPORTED_FROM.", " REPORTED_ABOUT", " REPORTED_BY", " PREVIOUSLY_REPORTED_ON.", " PREVIOUSLY_REPORTED_BY", " REPORTED_ON", " CLAIMED_TO_SELL", " REPORTED_BY", " REPORTED_BY", " REPORTED_DATE", " SELF", " NATIONALITY", " IS_ON\n\n Explanation:\n The text states that \"Black Ch", " REPORTED_BY", " SPOKE_ABOUT", " LIVE_STREAMED_ON", " HOSTED_CONTENT_BEFORE", " LIVE_STREAMED_ON", " SOLD_PRODUCT", " SPOKE_ABOUT", " SPOKE_ABOUT", " SPOKE_ABOUT\n or\n MENTIONED_IN_CONTEXT", " SHARED_POSTS", " SHARED_PLATFORM", " SPREADS_INFO\n\n Explanation:\n The text states that", " REPORTED_BY", " CLAIMED_BY", " SHARED_PLATFORM", " CLAIMED_IN. (Twitter claimed that Black Chully had Instagram account since", " SHARED_ON\n\n Explanation:\n The text states that Twitter", " CLAIMED_TO_SELL", " SHARED_ON\n\n Explanation:\n The text states that \"", " SPREAD_BY", " PREVIOUSLY_POSTED_ON", " LIVE_STREAMED_ON", " PLATFORM_OF\n\n Explanation:\n The text states that the", " PREVIOUSLY_HOSTED_ON", " REPORTED_BY", " LIVE_STREAMED_ON", " SPREAD_ON.", " HOSTED_ON", " PLATFORM_HOSTED_ON_PLATFORM", " SOLD_PRODUCT", " SPREAD_ON.", " SPREAD_ON.", " HOSTED_LIVE_DATE", " HOSTED_CONTENT_ON_PLATFORM", " JOINED_PLATFORM", " REPORTED_BY", " HOSTED_CONTENT_ON_PLATFORM", " CLaimed_to_have_posted_on\n\n Explanation:\n", " SOLD_ON\n\n Explanation:\n The text states that the Twitter", " USED_PLATFORM", " CLaimed_to_have_hosted_on\n\n Explanation:\n", " CLaimed_to_have_posted_on\n\n Explanation:\n", " LIVE_STREAMED_ON", " PLATFORM_OF\n Or, if you prefer:\n The platform for the", " PREVIOUSLY_HOSTED_ON", " reported_by", " LIVE_STREAMED_ON", " SPREAD_ON.", " PLATFORM\n\n Explanation:\n The text mentions that the Twitter", " HOSTED_ON", " SOLD_PRODUCT", " SPREAD_ON.", " SPREAD_ON.", " HOSTED_LIVE_ON\n\n Explanation:\n The text", " SOLD_PRODUCT_TO", " SELLS_PRODUCT_TO_ORG", " REPORTED_BY", " SOLD_PRODUCT_TO", " SOLD_ON\n\n Explanation:\n The text states that Twitter users", " SOLD_PRODUCT_ON.", " SOLD_PRODUCT_ON.", " SOLD_ON\n\n Explanation:\n The text states that 'Tw", " SOLD_PRODUCT_ON.", " ACCUSED_BY", " CLAIMED_BY", " DIFFERENT_PLATFORM", " REPORTED_BY", " ACCUSED_BY", " SAME_ORG", " SHARED_PLATFORM", " CLAIMED_IN_CONTEXT_BEFORE", " SHARED_PLATFORM", " CLAIMED_TO_SELL", " SAME_ORG", " SHARED_DATE", " ACCUSED_BY", " CLAIMED_BY", " SPREADS_INFO\n\n Explanation:\n The text states that", " REPORTED_BY", " ACCUSED_OF\n\n Explanation:\n The text states that \"", " SPREAD_BY", " SHARED_PLATFORM", " CLAIMED_IN_CONTEXT_BEFORE", " SHARED_PLATFORM", " CLAIMED_TO_SELL", " SAME_ORGANIZATION", " SHARED_DATE", " SPOKE_ABOUT\n\n Explanation:\n The text mentions", " HAD_LIVE_CONTENT_ON\n\n Explanation:\n ", " REPORTED_BY", " SPOKE_ABOUT\n\n Explanation:\n The text mentions", " SHARED_ON\n\n Explanation:\n The text states that \"", " LIVE_STREAMED_ON", " LIVE_STREAMED_ON", " SPOKE_ABOUT", " SHARED_ON\n\n Explanation:\n The text states that \"" ]
[ [ "0", "2", "PERSON", "Black Chully" ], [ "4", "5", "NORP", "Nigerian" ], [ "5", "6", "ORG", "TikTok" ], [ "28", "29", "ORG", "KUBILIVE" ], [ "32", "34", "PERSON", "Black Chully" ], [ "83", "84", "ORG", "Twitter" ], [ "97", "98", "ORG", "Instagram" ], [ "99", "100", "DATE", "2020" ], [ "113", "114", "ORG", "Instagram" ], [ "116", "117", "PRODUCT", "N5k" ], [ "120", "121", "ORG", "Twitter" ], [ "157", "158", "ORG", "Twitter" ], [ "158", "166", "DATE", "as far back as 8 April, 2021" ] ]
638
640
[ "A Few Words About Me\nRaquel teaches biblical Hebrew, and believes that learning the biblical language allows her students to understand the origin of the concepts and historical, cultural, and spiritual values found in the bible.\nRaquel holds an BA in Contemporary Jewry.\nRaquel was a lecturer on the Holocaust, Jewish history, and Jewish identity. She was a researcher and writer of genealogical projects, and currently teaches Hebrew as a second language." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['A Few Words About Me\nRaquel teaches biblical Hebrew, and believes that learning the biblical language allows her students to understand the origin of the concepts and historical, cultural, and spiritual values found in the bible.\nRaquel holds an BA in Contemporary Jewry.\nRaquel was a lecturer on the Holocaust, Jewish history, and Jewish identity. She was a researcher and writer of genealogical projects, and currently teaches Hebrew as a second language.'] Entities: [{'head': ['0', '5', 'WORK_OF_ART', 'A Few Words About Me'], 'tail': ['6', '7', 'PERSON', 'Raquel']}] Relation:
[ [ { "head": [ "0", "5", "WORK_OF_ART", "A Few Words About Me" ], "tail": [ "6", "7", "PERSON", "Raquel" ] } ], [ { "head": [ "0", "5", "WORK_OF_ART", "A Few Words About Me" ], "tail": [ "42", "43", "PERSON", "Raquel" ] } ], [ { "head": [ "0", "5", "WORK_OF_ART", "A Few Words About Me" ], "tail": [ "51", "52", "PERSON", "Raquel" ] } ], [ { "head": [ "6", "7", "PERSON", "Raquel" ], "tail": [ "0", "5", "WORK_OF_ART", "A Few Words About Me" ] } ], [ { "head": [ "6", "7", "PERSON", "Raquel" ], "tail": [ "9", "10", "LANGUAGE", "Hebrew" ] } ], [ { "head": [ "6", "7", "PERSON", "Raquel" ], "tail": [ "42", "43", "PERSON", "Raquel" ] } ], [ { "head": [ "6", "7", "PERSON", "Raquel" ], "tail": [ "45", "46", "WORK_OF_ART", "BA" ] } ], [ { "head": [ "6", "7", "PERSON", "Raquel" ], "tail": [ "51", "52", "PERSON", "Raquel" ] } ], [ { "head": [ "6", "7", "PERSON", "Raquel" ], "tail": [ "57", "58", "EVENT", "Holocaust" ] } ], [ { "head": [ "6", "7", "PERSON", "Raquel" ], "tail": [ "59", "60", "NORP", "Jewish" ] } ], [ { "head": [ "6", "7", "PERSON", "Raquel" ], "tail": [ "63", "64", "NORP", "Jewish" ] } ], [ { "head": [ "6", "7", "PERSON", "Raquel" ], "tail": [ "79", "80", "LANGUAGE", "Hebrew" ] } ], [ { "head": [ "6", "7", "PERSON", "Raquel" ], "tail": [ "82", "83", "ORDINAL", "second" ] } ], [ { "head": [ "9", "10", "LANGUAGE", "Hebrew" ], "tail": [ "6", "7", "PERSON", "Raquel" ] } ], [ { "head": [ "9", "10", "LANGUAGE", "Hebrew" ], "tail": [ "42", "43", "PERSON", "Raquel" ] } ], [ { "head": [ "9", "10", "LANGUAGE", "Hebrew" ], "tail": [ "51", "52", "PERSON", "Raquel" ] } ], [ { "head": [ "42", "43", "PERSON", "Raquel" ], "tail": [ "0", "5", "WORK_OF_ART", "A Few Words About Me" ] } ], [ { "head": [ "42", "43", "PERSON", "Raquel" ], "tail": [ "6", "7", "PERSON", "Raquel" ] } ], [ { "head": [ "42", "43", "PERSON", "Raquel" ], "tail": [ "9", "10", "LANGUAGE", "Hebrew" ] } ], [ { "head": [ "42", "43", "PERSON", "Raquel" ], "tail": [ "45", "46", "WORK_OF_ART", "BA" ] } ], [ { "head": [ "42", "43", "PERSON", "Raquel" ], "tail": [ "51", "52", "PERSON", "Raquel" ] } ], [ { "head": [ "42", "43", "PERSON", "Raquel" ], "tail": [ "57", "58", "EVENT", "Holocaust" ] } ], [ { "head": [ "42", "43", "PERSON", "Raquel" ], "tail": [ "59", "60", "NORP", "Jewish" ] } ], [ { "head": [ "42", "43", "PERSON", "Raquel" ], "tail": [ "63", "64", "NORP", "Jewish" ] } ], [ { "head": [ "42", "43", "PERSON", "Raquel" ], "tail": [ "79", "80", "LANGUAGE", "Hebrew" ] } ], [ { "head": [ "42", "43", "PERSON", "Raquel" ], "tail": [ "82", "83", "ORDINAL", "second" ] } ], [ { "head": [ "45", "46", "WORK_OF_ART", "BA" ], "tail": [ "6", "7", "PERSON", "Raquel" ] } ], [ { "head": [ "45", "46", "WORK_OF_ART", "BA" ], "tail": [ "42", "43", "PERSON", "Raquel" ] } ], [ { "head": [ "45", "46", "WORK_OF_ART", "BA" ], "tail": [ "51", "52", "PERSON", "Raquel" ] } ], [ { "head": [ "51", "52", "PERSON", "Raquel" ], "tail": [ "0", "5", "WORK_OF_ART", "A Few Words About Me" ] } ], [ { "head": [ "51", "52", "PERSON", "Raquel" ], "tail": [ "6", "7", "PERSON", "Raquel" ] } ], [ { "head": [ "51", "52", "PERSON", "Raquel" ], "tail": [ "9", "10", "LANGUAGE", "Hebrew" ] } ], [ { "head": [ "51", "52", "PERSON", "Raquel" ], "tail": [ "42", "43", "PERSON", "Raquel" ] } ], [ { "head": [ "51", "52", "PERSON", "Raquel" ], "tail": [ "45", "46", "WORK_OF_ART", "BA" ] } ], [ { "head": [ "51", "52", "PERSON", "Raquel" ], "tail": [ "57", "58", "EVENT", "Holocaust" ] } ], [ { "head": [ "51", "52", "PERSON", "Raquel" ], "tail": [ "59", "60", "NORP", "Jewish" ] } ], [ { "head": [ "51", "52", "PERSON", "Raquel" ], "tail": [ "63", "64", "NORP", "Jewish" ] } ], [ { "head": [ "51", "52", "PERSON", "Raquel" ], "tail": [ "79", "80", "LANGUAGE", "Hebrew" ] } ], [ { "head": [ "51", "52", "PERSON", "Raquel" ], "tail": [ "82", "83", "ORDINAL", "second" ] } ], [ { "head": [ "57", "58", "EVENT", "Holocaust" ], "tail": [ "6", "7", "PERSON", "Raquel" ] } ], [ { "head": [ "57", "58", "EVENT", "Holocaust" ], "tail": [ "42", "43", "PERSON", "Raquel" ] } ], [ { "head": [ "57", "58", "EVENT", "Holocaust" ], "tail": [ "51", "52", "PERSON", "Raquel" ] } ], [ { "head": [ "59", "60", "NORP", "Jewish" ], "tail": [ "6", "7", "PERSON", "Raquel" ] } ], [ { "head": [ "59", "60", "NORP", "Jewish" ], "tail": [ "42", "43", "PERSON", "Raquel" ] } ], [ { "head": [ "59", "60", "NORP", "Jewish" ], "tail": [ "51", "52", "PERSON", "Raquel" ] } ], [ { "head": [ "63", "64", "NORP", "Jewish" ], "tail": [ "6", "7", "PERSON", "Raquel" ] } ], [ { "head": [ "63", "64", "NORP", "Jewish" ], "tail": [ "42", "43", "PERSON", "Raquel" ] } ], [ { "head": [ "63", "64", "NORP", "Jewish" ], "tail": [ "51", "52", "PERSON", "Raquel" ] } ], [ { "head": [ "79", "80", "LANGUAGE", "Hebrew" ], "tail": [ "6", "7", "PERSON", "Raquel" ] } ], [ { "head": [ "79", "80", "LANGUAGE", "Hebrew" ], "tail": [ "42", "43", "PERSON", "Raquel" ] } ], [ { "head": [ "79", "80", "LANGUAGE", "Hebrew" ], "tail": [ "51", "52", "PERSON", "Raquel" ] } ], [ { "head": [ "82", "83", "ORDINAL", "second" ], "tail": [ "6", "7", "PERSON", "Raquel" ] } ], [ { "head": [ "82", "83", "ORDINAL", "second" ], "tail": [ "42", "43", "PERSON", "Raquel" ] } ], [ { "head": [ "82", "83", "ORDINAL", "second" ], "tail": [ "51", "52", "PERSON", "Raquel" ] } ] ]
[ " AUTHOR_OF", " WRITTEN_BY", " WRITTEN_BY", " WRITTEN_BY", " TEACHES", " TEACHES", " HAS_DEGREE", " TEACHES", " 'TEACHED_ABOUT'", " TEACHES\n\n Explanation:\n Raquel teaches about Jewish history and", " TEACHES\n\n Explanation:\n Raquel teaches about Jewish history and", " TEACHES", " TEACHES", " TEACHES", " TEACHES", " TEACHES", " WRITES\n\n Explanation:\n Raquel wrote 'A Few", " TEACHES", " TEACHES", " HAS_DEGREE", " TEACHES", " 'TEACHED_ABOUT'", " TEACHES\n\n Explanation:\n Raquel teaches about Jewish history and", " TEACHES\n\n Explanation:\n Raquel teaches about Jewish history and", " TEACHES", " TEACHES", " EDUCATED_BY", " HAS_EDUCATION", " HAS_EDUCATION", " WRITTEN_BY", " TEACHES", " TEACHES", " TEACHES", " HAS_DEGREE", " 'TEACHES_ABOUT'", " TEACHES\n\n Explanation:\n Raquel teaches about Jewish history and", " TEACHES\n\n Explanation:\n Raquel teaches about Jewish history and", " TEACHES", " TEACHES", " LECTURED_ON", " LECTURED_ON", " 'LECTURED_BY'", " TEACHES", " TEACHES", " TEACHES", " TEACHES", " TEACHES", " TEACHES", " TEACHES", " TEACHES", " TEACHES", " TEACHES", " TEACHES", " TEACHES" ]
[ [ "0", "5", "WORK_OF_ART", "A Few Words About Me" ], [ "6", "7", "PERSON", "Raquel" ], [ "9", "10", "LANGUAGE", "Hebrew" ], [ "42", "43", "PERSON", "Raquel" ], [ "45", "46", "WORK_OF_ART", "BA" ], [ "51", "52", "PERSON", "Raquel" ], [ "57", "58", "EVENT", "Holocaust" ], [ "59", "60", "NORP", "Jewish" ], [ "63", "64", "NORP", "Jewish" ], [ "79", "80", "LANGUAGE", "Hebrew" ], [ "82", "83", "ORDINAL", "second" ] ]
639
641
[ "SIGN UP FOR OUR NEWSLETTER & ENJOY 10% OFF YOUR FIRST PURCHASE\nGiving Hand drop earrings. Gold plated with South Sea golden & grey pearls. Sterling silver posts. Available in 14K gold upon request.\n*Each Jacqueline Rose piece is handcrafted in Los Angeles. If not in stock you will be notified with in 24 hrs of your purchase via email." ]
[ [ "SIGN", "UP", "FOR", "OUR", "NEWSLETTER", "&", "ENJOY", "10", "%", "OFF", "YOUR", "FIRST", "PURCHASE", "\n", "Giving", "Hand", "drop", "earrings", ".", "Gold", "plated", "with", "South", "Sea", "golden", "&", "grey", "pearls", ".", "Sterling", "silver", "posts", ".", "Available", "in", "14", "K", "gold", "upon", "request", ".", "\n", "*", "Each", "Jacqueline", "Rose", "piece", "is", "handcrafted", "in", "Los", "Angeles", ".", "If", "not", "in", "stock", "you", "will", "be", "notified", "with", "in", "24", "hrs", "of", "your", "purchase", "via", "email", "." ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['SIGN UP FOR OUR NEWSLETTER & ENJOY 10% OFF YOUR FIRST PURCHASE\nGiving Hand drop earrings. Gold plated with South Sea golden & grey pearls. Sterling silver posts. Available in 14K gold upon request.\n*Each Jacqueline Rose piece is handcrafted in Los Angeles. If not in stock you will be notified with in 24 hrs of your purchase via email.'] Entities: [{'head': ['7', '9', 'PERCENT', '10%'], 'tail': ['44', '46', 'PERSON', 'Jacqueline Rose']}] Relation:
[ [ { "head": [ "7", "9", "PERCENT", "10%" ], "tail": [ "44", "46", "PERSON", "Jacqueline Rose" ] } ], [ { "head": [ "7", "9", "PERCENT", "10%" ], "tail": [ "50", "52", "GPE", "Los Angeles" ] } ], [ { "head": [ "11", "12", "ORDINAL", "FIRST" ], "tail": [ "44", "46", "PERSON", "Jacqueline Rose" ] } ], [ { "head": [ "11", "12", "ORDINAL", "FIRST" ], "tail": [ "50", "52", "GPE", "Los Angeles" ] } ], [ { "head": [ "35", "38", "QUANTITY", "14K gold" ], "tail": [ "44", "46", "PERSON", "Jacqueline Rose" ] } ], [ { "head": [ "35", "38", "QUANTITY", "14K gold" ], "tail": [ "50", "52", "GPE", "Los Angeles" ] } ], [ { "head": [ "44", "46", "PERSON", "Jacqueline Rose" ], "tail": [ "7", "9", "PERCENT", "10%" ] } ], [ { "head": [ "44", "46", "PERSON", "Jacqueline Rose" ], "tail": [ "11", "12", "ORDINAL", "FIRST" ] } ], [ { "head": [ "44", "46", "PERSON", "Jacqueline Rose" ], "tail": [ "35", "38", "QUANTITY", "14K gold" ] } ], [ { "head": [ "44", "46", "PERSON", "Jacqueline Rose" ], "tail": [ "50", "52", "GPE", "Los Angeles" ] } ], [ { "head": [ "44", "46", "PERSON", "Jacqueline Rose" ], "tail": [ "63", "65", "TIME", "24 hrs" ] } ], [ { "head": [ "50", "52", "GPE", "Los Angeles" ], "tail": [ "7", "9", "PERCENT", "10%" ] } ], [ { "head": [ "50", "52", "GPE", "Los Angeles" ], "tail": [ "11", "12", "ORDINAL", "FIRST" ] } ], [ { "head": [ "50", "52", "GPE", "Los Angeles" ], "tail": [ "35", "38", "QUANTITY", "14K gold" ] } ], [ { "head": [ "50", "52", "GPE", "Los Angeles" ], "tail": [ "44", "46", "PERSON", "Jacqueline Rose" ] } ], [ { "head": [ "50", "52", "GPE", "Los Angeles" ], "tail": [ "63", "65", "TIME", "24 hrs" ] } ], [ { "head": [ "63", "65", "TIME", "24 hrs" ], "tail": [ "44", "46", "PERSON", "Jacqueline Rose" ] } ], [ { "head": [ "63", "65", "TIME", "24 hrs" ], "tail": [ "50", "52", "GPE", "Los Angeles" ] } ] ]
[ " DISCOUNT", " LOCATION_OF\n\n Explanation:\n The text mentions that", " CUSTOMER_OF\n or\n BUYER_OF\n or", " NOTIFICATION_FROM_LOCATION", " CUSTOMER_REQUESTS_PRODUCT_IN_14K_GOLD", " MANUFACTURED_IN", " OFFERS\n\n Explanation:\n The text mentions that signing up for", " NEW_CUSTOMER", " AVAILABLE_FOR_SALE_WITH_MATERIAL\n\n Explan", " HEAD_QUASI_LOCATED_AT_TAIL", " NOTIFICATION", " LOCATION_OF\n\n Explanation:\n The text mentions that", " NOTIFICATION_WITHIN_TIMEFRAME", " AVAILABLE_IN", " LOCATED_IN", " NOTIFICATION_DELAY", " NOTIFICATION", " NOTIFICATION_WITHIN_TIMEFRAME" ]
[ [ "7", "9", "PERCENT", "10%" ], [ "11", "12", "ORDINAL", "FIRST" ], [ "35", "38", "QUANTITY", "14K gold" ], [ "44", "46", "PERSON", "Jacqueline Rose" ], [ "50", "52", "GPE", "Los Angeles" ], [ "63", "65", "TIME", "24 hrs" ] ]
640
642
[ "The Morgan Library art print by Jessica Jenney. Our art prints are produced on acid-free papers using archival inks to guarantee that they last a lifetime without fading or loss of color. All art prints include a 1\" white border around the image to allow for future framing and matting, if desired.\nIn 1902 American financier Pierpont Morgan chose architect Charles Follen McKim of the prominent firm McKim, Mead and White to design a library to... more\n3 - 4 business days\nArt Print Tags" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['The Morgan Library art print by Jessica Jenney. Our art prints are produced on acid-free papers using archival inks to guarantee that they last a lifetime without fading or loss of color. All art prints include a 1" white border around the image to allow for future framing and matting, if desired.\nIn 1902 American financier Pierpont Morgan chose architect Charles Follen McKim of the prominent firm McKim, Mead and White to design a library to... more\n3 - 4 business days\nArt Print Tags'] Entities: [{'head': ['1', '3', 'ORG', 'Morgan Library'], 'tail': ['6', '8', 'PERSON', 'Jessica Jenney']}] Relation:
[ [ { "head": [ "1", "3", "ORG", "Morgan Library" ], "tail": [ "6", "8", "PERSON", "Jessica Jenney" ] } ], [ { "head": [ "1", "3", "ORG", "Morgan Library" ], "tail": [ "41", "43", "QUANTITY", "1\"" ] } ], [ { "head": [ "1", "3", "ORG", "Morgan Library" ], "tail": [ "61", "62", "DATE", "1902" ] } ], [ { "head": [ "1", "3", "ORG", "Morgan Library" ], "tail": [ "62", "63", "NORP", "American" ] } ], [ { "head": [ "1", "3", "ORG", "Morgan Library" ], "tail": [ "64", "66", "PERSON", "Pierpont Morgan" ] } ], [ { "head": [ "1", "3", "ORG", "Morgan Library" ], "tail": [ "68", "71", "PERSON", "Charles Follen McKim" ] } ], [ { "head": [ "1", "3", "ORG", "Morgan Library" ], "tail": [ "75", "80", "ORG", "McKim, Mead and White" ] } ], [ { "head": [ "1", "3", "ORG", "Morgan Library" ], "tail": [ "86", "93", "DATE", "more\n3 - 4 business days" ] } ], [ { "head": [ "6", "8", "PERSON", "Jessica Jenney" ], "tail": [ "1", "3", "ORG", "Morgan Library" ] } ], [ { "head": [ "6", "8", "PERSON", "Jessica Jenney" ], "tail": [ "41", "43", "QUANTITY", "1\"" ] } ], [ { "head": [ "6", "8", "PERSON", "Jessica Jenney" ], "tail": [ "61", "62", "DATE", "1902" ] } ], [ { "head": [ "6", "8", "PERSON", "Jessica Jenney" ], "tail": [ "62", "63", "NORP", "American" ] } ], [ { "head": [ "6", "8", "PERSON", "Jessica Jenney" ], "tail": [ "64", "66", "PERSON", "Pierpont Morgan" ] } ], [ { "head": [ "6", "8", "PERSON", "Jessica Jenney" ], "tail": [ "68", "71", "PERSON", "Charles Follen McKim" ] } ], [ { "head": [ "6", "8", "PERSON", "Jessica Jenney" ], "tail": [ "75", "80", "ORG", "McKim, Mead and White" ] } ], [ { "head": [ "6", "8", "PERSON", "Jessica Jenney" ], "tail": [ "86", "93", "DATE", "more\n3 - 4 business days" ] } ], [ { "head": [ "41", "43", "QUANTITY", "1\"" ], "tail": [ "1", "3", "ORG", "Morgan Library" ] } ], [ { "head": [ "41", "43", "QUANTITY", "1\"" ], "tail": [ "6", "8", "PERSON", "Jessica Jenney" ] } ], [ { "head": [ "41", "43", "QUANTITY", "1\"" ], "tail": [ "64", "66", "PERSON", "Pierpont Morgan" ] } ], [ { "head": [ "41", "43", "QUANTITY", "1\"" ], "tail": [ "68", "71", "PERSON", "Charles Follen McKim" ] } ], [ { "head": [ "41", "43", "QUANTITY", "1\"" ], "tail": [ "75", "80", "ORG", "McKim, Mead and White" ] } ], [ { "head": [ "61", "62", "DATE", "1902" ], "tail": [ "1", "3", "ORG", "Morgan Library" ] } ], [ { "head": [ "61", "62", "DATE", "1902" ], "tail": [ "6", "8", "PERSON", "Jessica Jenney" ] } ], [ { "head": [ "61", "62", "DATE", "1902" ], "tail": [ "64", "66", "PERSON", "Pierpont Morgan" ] } ], [ { "head": [ "61", "62", "DATE", "1902" ], "tail": [ "68", "71", "PERSON", "Charles Follen McKim" ] } ], [ { "head": [ "61", "62", "DATE", "1902" ], "tail": [ "75", "80", "ORG", "McKim, Mead and White" ] } ], [ { "head": [ "62", "63", "NORP", "American" ], "tail": [ "1", "3", "ORG", "Morgan Library" ] } ], [ { "head": [ "62", "63", "NORP", "American" ], "tail": [ "6", "8", "PERSON", "Jessica Jenney" ] } ], [ { "head": [ "62", "63", "NORP", "American" ], "tail": [ "64", "66", "PERSON", "Pierpont Morgan" ] } ], [ { "head": [ "62", "63", "NORP", "American" ], "tail": [ "68", "71", "PERSON", "Charles Follen McKim" ] } ], [ { "head": [ "62", "63", "NORP", "American" ], "tail": [ "75", "80", "ORG", "McKim, Mead and White" ] } ], [ { "head": [ "64", "66", "PERSON", "Pierpont Morgan" ], "tail": [ "1", "3", "ORG", "Morgan Library" ] } ], [ { "head": [ "64", "66", "PERSON", "Pierpont Morgan" ], "tail": [ "6", "8", "PERSON", "Jessica Jenney" ] } ], [ { "head": [ "64", "66", "PERSON", "Pierpont Morgan" ], "tail": [ "41", "43", "QUANTITY", "1\"" ] } ], [ { "head": [ "64", "66", "PERSON", "Pierpont Morgan" ], "tail": [ "61", "62", "DATE", "1902" ] } ], [ { "head": [ "64", "66", "PERSON", "Pierpont Morgan" ], "tail": [ "62", "63", "NORP", "American" ] } ], [ { "head": [ "64", "66", "PERSON", "Pierpont Morgan" ], "tail": [ "68", "71", "PERSON", "Charles Follen McKim" ] } ], [ { "head": [ "64", "66", "PERSON", "Pierpont Morgan" ], "tail": [ "75", "80", "ORG", "McKim, Mead and White" ] } ], [ { "head": [ "64", "66", "PERSON", "Pierpont Morgan" ], "tail": [ "86", "93", "DATE", "more\n3 - 4 business days" ] } ], [ { "head": [ "68", "71", "PERSON", "Charles Follen McKim" ], "tail": [ "1", "3", "ORG", "Morgan Library" ] } ], [ { "head": [ "68", "71", "PERSON", "Charles Follen McKim" ], "tail": [ "6", "8", "PERSON", "Jessica Jenney" ] } ], [ { "head": [ "68", "71", "PERSON", "Charles Follen McKim" ], "tail": [ "41", "43", "QUANTITY", "1\"" ] } ], [ { "head": [ "68", "71", "PERSON", "Charles Follen McKim" ], "tail": [ "61", "62", "DATE", "1902" ] } ], [ { "head": [ "68", "71", "PERSON", "Charles Follen McKim" ], "tail": [ "62", "63", "NORP", "American" ] } ], [ { "head": [ "68", "71", "PERSON", "Charles Follen McKim" ], "tail": [ "64", "66", "PERSON", "Pierpont Morgan" ] } ], [ { "head": [ "68", "71", "PERSON", "Charles Follen McKim" ], "tail": [ "75", "80", "ORG", "McKim, Mead and White" ] } ], [ { "head": [ "68", "71", "PERSON", "Charles Follen McKim" ], "tail": [ "86", "93", "DATE", "more\n3 - 4 business days" ] } ], [ { "head": [ "75", "80", "ORG", "McKim, Mead and White" ], "tail": [ "1", "3", "ORG", "Morgan Library" ] } ], [ { "head": [ "75", "80", "ORG", "McKim, Mead and White" ], "tail": [ "6", "8", "PERSON", "Jessica Jenney" ] } ], [ { "head": [ "75", "80", "ORG", "McKim, Mead and White" ], "tail": [ "41", "43", "QUANTITY", "1\"" ] } ], [ { "head": [ "75", "80", "ORG", "McKim, Mead and White" ], "tail": [ "61", "62", "DATE", "1902" ] } ], [ { "head": [ "75", "80", "ORG", "McKim, Mead and White" ], "tail": [ "62", "63", "NORP", "American" ] } ], [ { "head": [ "75", "80", "ORG", "McKim, Mead and White" ], "tail": [ "64", "66", "PERSON", "Pierpont Morgan" ] } ], [ { "head": [ "75", "80", "ORG", "McKim, Mead and White" ], "tail": [ "68", "71", "PERSON", "Charles Follen McKim" ] } ], [ { "head": [ "75", "80", "ORG", "McKim, Mead and White" ], "tail": [ "86", "93", "DATE", "more\n3 - 4 business days" ] } ], [ { "head": [ "86", "93", "DATE", "more\n3 - 4 business days" ], "tail": [ "1", "3", "ORG", "Morgan Library" ] } ], [ { "head": [ "86", "93", "DATE", "more\n3 - 4 business days" ], "tail": [ "6", "8", "PERSON", "Jessica Jenney" ] } ], [ { "head": [ "86", "93", "DATE", "more\n3 - 4 business days" ], "tail": [ "64", "66", "PERSON", "Pierpont Morgan" ] } ], [ { "head": [ "86", "93", "DATE", "more\n3 - 4 business days" ], "tail": [ "68", "71", "PERSON", "Charles Follen McKim" ] } ], [ { "head": [ "86", "93", "DATE", "more\n3 - 4 business days" ], "tail": [ "75", "80", "ORG", "McKim, Mead and White" ] } ] ]
[ " CREATED_BY", " INCLUDES\n\n Explanation:\n The Morgan Library includes a ", " FOUNDED_IN_YEAR", " FOUNDER", " FOUNDER", " DESIGNED_BY", " DESIGNED_BY", " DELIVERY_TIME\n\n Explanation:\n The Morgan Library is", " ARTIST_OF\n\n Explanation:\n The text states that \"", " PRODUCES", " CREATED_IN_YEAR", " CREATED_BY", " CREATED_BY", " DESIGNED_BY", " DESIGNED_BY", " CREATED_IN\n\n Explanation:\n The text states that \"", " PRINTED_BY", " PRODUCED_BY", " PRODUCED_BY", " DESIGNED_BY", " DESIGNED_BY", " FOUNDED_BY", " CREATED_BY", " CHOOSES", " DESIGNED_BY", " CHOSEN_BY", " FOUNDER", " CREATED_BY", " FUNDER", " CHOOSES", " HIRED", " FOUNDER", " CREATED_BY", " GUARANTEES\n\n Explanation:\n The text states that", " CHOSEN_DATE", " 'is_from' or 'is_an_instance_of' or 'national", " CHOOSES", " CHOOSE_ARCHITECT", " CHOSEN_BY", " DESIGNED_BY", " DESIGNED_BY", " DESIGNED_WITH\n\n Explanation:\n The text mentions that", " DESIGNED_IN_YEAR", " DESIGNED_BY", " DESIGNED_BY", " DESIGNED_BY", " DESIGNED_IN\n\n Explanation:\n The text states that Charles", " DESIGNED_BY", " DESIGNED_BY", " DESIGNED_WITH\n\n Explanation:\n The text mentions that", " DESIGNED_BY", " DESIGNED_BY", " DESIGNED_BY", " DESIGNED_BY", " DESIGNED_IN\n\n Explanation:\n The text mentions that", " OPENED_ON\n\n Explanation:\n The text mentions that", " PRODUCED_BY", " CHOSEN_BY", " DESIGNED_BY", " DESIGNED_BY" ]
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641
643
[ "Blayze Hallack and his friend Pandora arrive at a diner called “Diner South” after a long journey on their worn-out space barge. They dock their ship and sit at the bar, where they are approached by Amanda, a dark-skinned woman who recognizes them as ITR techs from the Silvani Trace. Amanda explains that she is building a crew for an ITR (Illegal Tech Repair) operation, where they travel to planets within The Federation to fix outdated or illegal equipment. She offers Blayze and Pandora support and a partnership, providing them with their own quarters on her ship and advanced pay. Excited by the opportunity, Blayze and Pandora agree to join Amanda’s crew, and they make plans to depart from bay E at 0500.\nfor more, please visit" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Blayze Hallack and his friend Pandora arrive at a diner called “Diner South” after a long journey on their worn-out space barge. They dock their ship and sit at the bar, where they are approached by Amanda, a dark-skinned woman who recognizes them as ITR techs from the Silvani Trace. Amanda explains that she is building a crew for an ITR (Illegal Tech Repair) operation, where they travel to planets within The Federation to fix outdated or illegal equipment. She offers Blayze and Pandora support and a partnership, providing them with their own quarters on her ship and advanced pay. Excited by the opportunity, Blayze and Pandora agree to join Amanda’s crew, and they make plans to depart from bay E at 0500.\nfor more, please visit'] Entities: [{'head': ['0', '2', 'PERSON', 'Blayze Hallack'], 'tail': ['5', '6', 'PERSON', 'Pandora']}] Relation:
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"tail": [ "127", "128", "PERSON", "Amanda" ] } ], [ { "head": [ "60", "61", "PERSON", "Amanda" ], "tail": [ "138", "140", "FAC", "bay E" ] } ], [ { "head": [ "60", "61", "PERSON", "Amanda" ], "tail": [ "141", "142", "TIME", "0500" ] } ], [ { "head": [ "85", "86", "GPE", "Federation" ], "tail": [ "0", "2", "PERSON", "Blayze Hallack" ] } ], [ { "head": [ "85", "86", "GPE", "Federation" ], "tail": [ "5", "6", "PERSON", "Pandora" ] } ], [ { "head": [ "85", "86", "GPE", "Federation" ], "tail": [ "12", "14", "FAC", "Diner South" ] } ], [ { "head": [ "85", "86", "GPE", "Federation" ], "tail": [ "42", "43", "PERSON", "Amanda" ] } ], [ { "head": [ "85", "86", "GPE", "Federation" ], "tail": [ "56", "59", "PRODUCT", "the Silvani Trace" ] } ], [ { "head": [ "85", "86", "GPE", "Federation" ], "tail": [ "60", "61", "PERSON", "Amanda" ] } ], [ { "head": [ "85", "86", "GPE", "Federation" ], "tail": [ "95", "96", "PERSON", "Blayze" ] } ], [ { "head": [ "85", "86", "GPE", "Federation" ], "tail": [ "97", 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Silvani Trace" ] } ], [ { "head": [ "95", "96", "PERSON", "Blayze" ], "tail": [ "60", "61", "PERSON", "Amanda" ] } ], [ { "head": [ "95", "96", "PERSON", "Blayze" ], "tail": [ "85", "86", "GPE", "Federation" ] } ], [ { "head": [ "95", "96", "PERSON", "Blayze" ], "tail": [ "97", "98", "ORG", "Pandora" ] } ], [ { "head": [ "95", "96", "PERSON", "Blayze" ], "tail": [ "121", "122", "PERSON", "Blayze" ] } ], [ { "head": [ "95", "96", "PERSON", "Blayze" ], "tail": [ "123", "124", "PERSON", "Pandora" ] } ], [ { "head": [ "95", "96", "PERSON", "Blayze" ], "tail": [ "127", "128", "PERSON", "Amanda" ] } ], [ { "head": [ "95", "96", "PERSON", "Blayze" ], "tail": [ "138", "140", "FAC", "bay E" ] } ], [ { "head": [ "95", "96", "PERSON", "Blayze" ], "tail": [ "141", "142", "TIME", "0500" ] } ], [ { "head": [ "97", "98", "ORG", "Pandora" ], "tail": [ "0", "2", "PERSON", "Blayze Hallack" ] } ], [ { "head": [ "97", "98", "ORG", "Pandora" ], "tail": [ "5", "6", "PERSON", "Pandora" ] } ], [ { "head": [ "97", "98", "ORG", "Pandora" ], "tail": [ "12", "14", "FAC", "Diner South" ] } ], [ { "head": [ "97", "98", "ORG", "Pandora" ], "tail": [ "42", "43", "PERSON", "Amanda" ] } ], [ { "head": [ "97", "98", "ORG", "Pandora" ], "tail": [ "56", "59", "PRODUCT", "the Silvani Trace" ] } ], [ { "head": [ "97", "98", "ORG", "Pandora" ], "tail": [ "60", "61", "PERSON", "Amanda" ] } ], [ { "head": [ "97", "98", "ORG", "Pandora" ], "tail": [ "85", "86", "GPE", "Federation" ] } ], [ { "head": [ "97", "98", "ORG", "Pandora" ], "tail": [ "95", "96", "PERSON", "Blayze" ] } ], [ { "head": [ "97", "98", "ORG", "Pandora" ], "tail": [ "121", "122", "PERSON", "Blayze" ] } ], [ { "head": [ "97", "98", "ORG", "Pandora" ], "tail": [ "123", "124", "PERSON", "Pandora" ] } ], [ { "head": [ "97", "98", "ORG", "Pandora" ], "tail": [ "127", "128", "PERSON", "Amanda" ] } ], [ { "head": [ "97", "98", "ORG", "Pandora" ], "tail": [ "138", "140", "FAC", "bay E" ] } ], [ { "head": [ "97", "98", "ORG", "Pandora" ], "tail": [ "141", "142", "TIME", "0500" ] } ], [ { "head": [ "121", "122", "PERSON", "Blayze" ], "tail": [ "0", "2", "PERSON", "Blayze Hallack" ] } ], [ { "head": [ "121", "122", "PERSON", "Blayze" ], "tail": [ "5", "6", "PERSON", "Pandora" ] } ], [ { "head": [ "121", "122", "PERSON", "Blayze" ], "tail": [ "12", "14", "FAC", "Diner South" ] } ], [ { "head": [ "121", "122", "PERSON", "Blayze" ], "tail": [ "42", "43", "PERSON", "Amanda" ] } ], [ { "head": [ "121", "122", "PERSON", "Blayze" ], "tail": [ "56", "59", "PRODUCT", "the Silvani Trace" ] } ], [ { "head": [ "121", "122", "PERSON", "Blayze" ], "tail": [ "60", "61", "PERSON", "Amanda" ] } ], [ { "head": [ "121", "122", "PERSON", "Blayze" ], "tail": [ "85", "86", "GPE", "Federation" ] } ], [ { "head": [ "121", "122", "PERSON", "Blayze" ], "tail": [ "95", "96", "PERSON", "Blayze" ] } ], [ { "head": [ "121", "122", "PERSON", "Blayze" ], "tail": [ "97", "98", "ORG", "Pandora" ] } ], [ { "head": [ "121", "122", "PERSON", "Blayze" ], "tail": [ "123", "124", "PERSON", "Pandora" ] } ], [ { "head": [ "121", "122", "PERSON", "Blayze" ], "tail": [ "127", "128", "PERSON", "Amanda" ] } ], [ { "head": [ "121", "122", "PERSON", "Blayze" ], "tail": [ "138", "140", "FAC", "bay E" ] } ], [ { "head": [ "121", "122", "PERSON", "Blayze" ], "tail": [ "141", "142", "TIME", "0500" ] } ], [ { "head": [ "123", "124", "PERSON", "Pandora" ], "tail": [ "0", "2", "PERSON", "Blayze Hallack" ] } ], [ { "head": [ "123", "124", "PERSON", "Pandora" ], "tail": [ "5", "6", "PERSON", "Pandora" ] } ], [ { "head": [ "123", "124", "PERSON", "Pandora" ], "tail": [ "12", "14", "FAC", "Diner South" ] } ], [ { "head": [ "123", "124", "PERSON", "Pandora" ], "tail": [ "42", "43", "PERSON", "Amanda" ] } ], [ { "head": [ "123", "124", "PERSON", "Pandora" ], "tail": [ "56", "59", "PRODUCT", "the Silvani Trace" ] } ], [ { "head": [ "123", "124", "PERSON", "Pandora" ], "tail": [ "60", "61", "PERSON", "Amanda" ] } ], [ { "head": [ "123", "124", "PERSON", "Pandora" ], "tail": [ "85", "86", "GPE", "Federation" ] } ], [ { "head": [ "123", "124", "PERSON", "Pandora" ], "tail": [ "95", "96", "PERSON", "Blayze" ] } ], [ { "head": [ "123", "124", "PERSON", "Pandora" ], "tail": [ "97", "98", "ORG", "Pandora" ] } ], [ { "head": [ "123", "124", "PERSON", "Pandora" ], "tail": [ "121", "122", "PERSON", "Blayze" ] } ], [ { "head": [ "123", "124", "PERSON", "Pandora" ], "tail": [ "127", "128", "PERSON", "Amanda" ] } ], [ { "head": [ "123", "124", "PERSON", "Pandora" ], "tail": [ "138", "140", "FAC", "bay E" ] } ], [ { "head": [ "123", "124", "PERSON", "Pandora" ], "tail": [ "141", "142", "TIME", "0500" ] } ], [ { "head": [ "127", "128", "PERSON", "Amanda" ], "tail": [ "0", "2", "PERSON", "Blayze Hallack" ] } ], [ { "head": [ "127", "128", "PERSON", "Amanda" ], "tail": [ "5", "6", "PERSON", "Pandora" ] } ], [ { "head": [ "127", "128", "PERSON", "Amanda" ], "tail": [ "12", "14", "FAC", "Diner South" ] } ], [ { "head": [ "127", "128", "PERSON", "Amanda" ], "tail": [ "42", "43", "PERSON", "Amanda" ] } ], [ { "head": [ "127", "128", "PERSON", "Amanda" ], "tail": [ "56", "59", "PRODUCT", "the Silvani Trace" ] } ], [ { "head": [ "127", "128", "PERSON", "Amanda" ], "tail": [ "60", "61", "PERSON", "Amanda" ] } ], [ { "head": [ "127", "128", "PERSON", "Amanda" ], "tail": [ "85", "86", "GPE", "Federation" ] } ], [ { "head": [ "127", "128", "PERSON", "Amanda" ], "tail": [ "95", "96", "PERSON", "Blayze" ] } ], [ { "head": [ "127", "128", "PERSON", "Amanda" ], "tail": [ "97", "98", "ORG", "Pandora" ] } ], [ { "head": [ "127", "128", "PERSON", "Amanda" ], "tail": [ "121", "122", "PERSON", "Blayze" ] } ], [ { "head": [ "127", "128", "PERSON", "Amanda" ], "tail": [ "123", "124", "PERSON", "Pandora" ] } ], [ { "head": [ "127", "128", "PERSON", "Amanda" ], "tail": [ "138", "140", "FAC", "bay E" ] } ], [ { "head": [ "127", "128", "PERSON", "Amanda" ], "tail": [ "141", "142", "TIME", "0500" ] } ], [ { "head": [ "138", "140", "FAC", "bay E" ], "tail": [ "0", "2", "PERSON", "Blayze Hallack" ] } ], [ { "head": [ "138", "140", "FAC", "bay E" ], "tail": [ "5", "6", "PERSON", "Pandora" ] } ], [ { "head": [ "138", "140", "FAC", "bay E" ], "tail": [ "42", "43", "PERSON", "Amanda" ] } ], [ { "head": [ "138", "140", "FAC", "bay E" ], "tail": [ "60", "61", "PERSON", "Amanda" ] } ], [ { "head": [ "138", "140", "FAC", "bay E" ], "tail": [ "85", "86", "GPE", "Federation" ] } ], [ { "head": [ "138", "140", "FAC", "bay E" ], "tail": [ "95", "96", "PERSON", "Blayze" ] } ], [ { "head": [ "138", "140", "FAC", "bay E" ], "tail": [ "97", "98", "ORG", "Pandora" ] } ], [ { "head": [ "138", "140", "FAC", "bay E" ], "tail": [ "121", "122", "PERSON", "Blayze" ] } ], [ { "head": [ "138", "140", "FAC", "bay E" ], "tail": [ "123", "124", "PERSON", "Pandora" ] } ], [ { "head": [ "138", "140", "FAC", "bay E" ], "tail": [ "127", "128", "PERSON", "Amanda" ] } ], [ { "head": [ "141", "142", "TIME", "0500" ], "tail": [ "0", "2", "PERSON", "Blayze Hallack" ] } ], [ { "head": [ "141", "142", "TIME", "0500" ], "tail": [ "5", "6", "PERSON", "Pandora" ] } ], [ { "head": [ "141", "142", "TIME", "0500" ], "tail": [ "42", "43", "PERSON", "Amanda" ] } ], [ { "head": [ "141", "142", "TIME", "0500" ], "tail": [ "60", "61", "PERSON", "Amanda" ] } ], [ { "head": [ "141", "142", "TIME", "0500" ], "tail": [ "85", "86", "GPE", "Federation" ] } ], [ { "head": [ "141", "142", "TIME", "0500" ], "tail": [ "95", "96", "PERSON", "Blayze" ] } ], [ { "head": [ "141", "142", "TIME", "0500" ], "tail": [ "97", "98", "ORG", "Pandora" ] } ], [ { "head": [ "141", "142", "TIME", "0500" ], "tail": [ "121", "122", "PERSON", "Blayze" ] } ], [ { "head": [ "141", "142", "TIME", "0500" ], "tail": [ "123", "124", "PERSON", "Pandora" ] } ], [ { "head": [ "141", "142", "TIME", "0500" ], "tail": [ "127", "128", "PERSON", "Amanda" ] } ] ]
[ " FRIEND", " ARRIVED_AT", " RECRUITER_AGENT_OF_EMPLOYEE", " TECH_FROM.", " RECRUITER_AGENT_OF_EMPLOYEE", " WITHIN.", " SELF_REFERENCE", " FRIEND", " SELF_REFERENCE", " FRIEND", " RECRUITER_OF\n\n Explanation:\n In the text,", " DEPART_FROM", " DEPART_FROM", " FRIEND", " ARRIVED_AT", " Amanda_RECOGNIZES_Pandora_AND_Blayze_AS", " REPAIRER_OF\n\n Explanation:\n In the context,", " RECRUITER_AGENT_OF_EMPLOYEE", " PART_OF", " FRIEND", " SELF_REFERENCE", " FRIEND", " SAME_PERSON", " Amanda_hires_Pandora_and_Blayze", " DEPART_FROM", " DEPARTURE_TIME", " ARRIVED_AT", " ARRIVED_AT", " OWNER", " OWNER", " LOCATION_IN.\n\n Explanation:\n In the text,", " ARRIVED_AT", " ARRIVED_AT", " ARRIVED_AT", " ARRIVE_AT", " OWNER", " HIRED_BY", " HIRED_BY", " OWNER_OF\n\n Explanation:\n Amanda is the owner of", " RECOGNIZES_FROM", " SELF_REFERENCE", " Amanda_is_building_a_crew_for_an_ITR_operation", " HIRED_BY", " RECRUITER.\n This is the label for the relation between Amanda (recru", " HIRED_BY", " HIRED_BY", " SELF_REFERENCE", " OWNER", " PART_OF\n\n Explanation:\n Amanda's crew is a part", " TECH_FROM.", " TECH_FROM\n\n Explanation:\n In the context, the Sil", " RECOGNIZES", " RECOGNIZES", " LOCATION_IN.\n This text describes the Silvani Trace as a location", " TECH_ORGANIZATION\n\n Explanation:\n The text", " RECOGNIZED_BY.", " TECH_FROM.", " REPAIRER_OF\n\n Explanation:\n In the text,", " RECOGNIZES", " HIRED_BY", " HIRED_BY", " OWNER. This text indicates that Amanda is the owner of Diner South.", " SELF_REFERENCE", " RECOGNIZES_FROM", " Amanda_is_from_The_Federation", " HIRED_BY", " RECRUITER.\n This text describes Amanda recruiting Pandora to her crew.", " HIRED_BY", " HIRED_BY", " SELF_REFERENCE", " OWNER", " PART_OF\n\n Explanation:\n Amanda's crew is a part", " PART_OF", " PART_OF\n\n Explanation:\n In the context, Pandora is", " NEARBY_LOCATION", " BELONGS_TO", " LOCATION_OF\n\n Explanation:\n The text states that Amanda", " BELONGS_TO", " PART_OF", " PART_OF", " PART_OF", " PART_OF\n\n Explanation:\n In the text, it is mentioned", " BELONGS_TO", " LEFT_OF\n\n Explanation:\n The text states that Blay", " LEFT_OF\n\n Explanation:\n The text states that the crew", " SELF_REFERENCE", " FRIEND", " ARRIVED_AT", " OFFERED_SUPPORT", " TECH_FROM.", " RECRUITER_AGENT_OF_EMPLOYEE", " WITHIN. This text describes Blayze and Pandora joining a crew that travels within The", " FRIEND", " SELF_REFERENCE", " FRIEND", " RECRUITER_OF\n\n Explanation:\n In the text,", " DEPART_FROM", " DEPART_AT", " FRIEND", " FRIEND", " NEARBY\n\n Explanation:\n The text states that 'They dock", " RECRUITER. This is Amanda recruiting Pandora and Blayze to her crew", " RECOGNIZED_FROM.", " RECRUITER. This is Amanda recruiting Pandora and Blayze to her crew", " WITHIN. This text describes that the Federation is a location where Amanda's ITR operation", " FRIEND", " FRIEND", " SAME_PERSON", " RECRUITER. This is Amanda recruiting Pandora and Blayze to her crew", " DEPART_FROM", " DEPARTURE_TIME", " SELF_REFERENCE", " FRIEND", " ARRIVED_AT", " Amanda_hires_Blayze", " TECH_FROM. This is the relation between a person and a product, indicating that Bl", " RECRUITER_AGENT_OF_EMPLOYEE", " WITHIN. This text describes Blayze and Pandora joining a crew that travels within The", " SELF_REFERENCE", " FRIEND", " FRIEND", " Amanda_RECOGNIZES_Blayze_AND_OFFERS_HIM", " DEPART_FROM", " DEPART_AT", " FRIEND", " SAME_PERSON", " ARRIVED_AT", " Amanda_hires_Pandora_and_Blayze", " REPAIRER_OF\n\n Explanation:\n In the text,", " Amanda_hires_Pandora_and_Blayze", " PART_OF", " FRIEND", " SAME_ORG.", " FRIEND", " Amanda_recognizes_Pandora_as_ITR_tech\n or\n", " DEPART_FROM", " DEPARTURE_TIME", " HIRED_BY", " HIRED_BY", " OWNER", " SELF_REFERENCE", " RECOGNIZED_FROM\n\n Explanation:\n Amanda recognizes", " SELF_REFERENCE", " Amanda_is_from_The_Federation.", " HIRED_BY", " RECRUITER.\n This text describes Amanda recruiting Pandora to her crew.", " HIRED_BY", " HIRED_BY", " OWNER_OF\n\n Explanation:\n Amanda is offering her own", " PART_OF\n\n Explanation:\n Amanda's crew is a part", " DEPART_FROM", " DEPART_FROM", " OPERATOR_OF", " OPERATOR_OF", " LEAVES_FROM", " DEPART_FROM", " DEPART_FROM", " DEPART_FROM", " DEPART_FROM", " OPERATOR_OF", " DEPART_FROM", " DEPART_FROM", " PARTNERSHIP", " HIRES", " LEAVES_FROM", " DEPART_FROM", " DEPART_FROM", " DEPART_FROM", " DEPART_FROM", " HIRES" ]
[ [ "0", "2", "PERSON", "Blayze Hallack" ], [ "5", "6", "PERSON", "Pandora" ], [ "12", "14", "FAC", "Diner South" ], [ "42", "43", "PERSON", "Amanda" ], [ "56", "59", "PRODUCT", "the Silvani Trace" ], [ "60", "61", "PERSON", "Amanda" ], [ "85", "86", "GPE", "Federation" ], [ "95", "96", "PERSON", "Blayze" ], [ "97", "98", "ORG", "Pandora" ], [ "121", "122", "PERSON", "Blayze" ], [ "123", "124", "PERSON", "Pandora" ], [ "127", "128", "PERSON", "Amanda" ], [ "138", "140", "FAC", "bay E" ], [ "141", "142", "TIME", "0500" ] ]
642
644
[ "Many people are unaware of celebrities that support Zionism. Here are only 6 of them - the most popular ones, and some of what they did to show their support for Isr*el. There are many ways to boycott them, for example: stop listening to their music, stop buying their brands, stop watching their movies. Boycott Black Widow, Wonder Woman, etc. Avoid being a part of activities that require paying for the celebrity. (Friendly reminder than this has nothing to do with a celebrity being Jewish, but has everything to do with their support for the genocide against Pa/estinians)\n- For the Harry Styles slide, the article is called Why I'm Pro-Israeli AND Pro-Palestinian if you want to read how tone deaf it is." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ["Many people are unaware of celebrities that support Zionism. Here are only 6 of them - the most popular ones, and some of what they did to show their support for Isr*el. There are many ways to boycott them, for example: stop listening to their music, stop buying their brands, stop watching their movies. Boycott Black Widow, Wonder Woman, etc. Avoid being a part of activities that require paying for the celebrity. (Friendly reminder than this has nothing to do with a celebrity being Jewish, but has everything to do with their support for the genocide against Pa/estinians)\n- For the Harry Styles slide, the article is called Why I'm Pro-Israeli AND Pro-Palestinian if you want to read how tone deaf it is."] Entities: [{'head': ['8', '9', 'NORP', 'Zionism'], 'tail': ['33', '34', 'ORG', 'Isr*el']}] Relation:
[ [ { "head": [ "8", "9", "NORP", "Zionism" ], "tail": [ "33", "34", "ORG", "Isr*el" ] } ], [ { "head": [ "8", "9", "NORP", "Zionism" ], "tail": [ "119", "121", "PERSON", "Harry Styles" ] } ], [ { "head": [ "12", "14", "CARDINAL", "only 6" ], "tail": [ "33", "34", "ORG", "Isr*el" ] } ], [ { "head": [ "12", "14", "CARDINAL", "only 6" ], "tail": [ "119", "121", "PERSON", "Harry Styles" ] } ], [ { "head": [ "33", "34", "ORG", "Isr*el" ], "tail": [ "8", "9", "NORP", "Zionism" ] } ], [ { "head": [ "33", "34", "ORG", "Isr*el" ], "tail": [ "12", "14", "CARDINAL", "only 6" ] } ], [ { "head": [ "33", "34", "ORG", "Isr*el" ], "tail": [ "63", "65", "WORK_OF_ART", "Black Widow" ] } ], [ { "head": [ "33", "34", "ORG", "Isr*el" ], "tail": [ "66", "68", "WORK_OF_ART", "Wonder Woman" ] } ], [ { "head": [ "33", "34", "ORG", "Isr*el" ], "tail": [ "97", "98", "NORP", "Jewish" ] } ], [ { "head": [ "33", "34", "ORG", "Isr*el" ], "tail": [ "111", "114", "NORP", "Pa/estinians" ] } ], [ { "head": [ "33", "34", "ORG", "Isr*el" ], "tail": [ "119", "121", "PERSON", "Harry Styles" ] } ], [ { "head": [ "33", "34", "ORG", "Isr*el" ], "tail": [ "127", "133", "WORK_OF_ART", "Why I'm Pro-Israeli" ] } ], [ { "head": [ "33", "34", "ORG", "Isr*el" ], "tail": [ "134", "137", "NORP", "Pro-Palestinian" ] } ], [ { "head": [ "63", "65", "WORK_OF_ART", "Black Widow" ], "tail": [ "33", "34", "ORG", "Isr*el" ] } ], [ { "head": [ "63", "65", "WORK_OF_ART", "Black Widow" ], "tail": [ "119", "121", "PERSON", "Harry Styles" ] } ], [ { "head": [ "66", "68", "WORK_OF_ART", "Wonder Woman" ], "tail": [ "33", "34", "ORG", "Isr*el" ] } ], [ { "head": [ "66", "68", "WORK_OF_ART", "Wonder Woman" ], "tail": [ "119", "121", "PERSON", "Harry Styles" ] } ], [ { "head": [ "97", "98", "NORP", "Jewish" ], "tail": [ "33", "34", "ORG", "Isr*el" ] } ], [ { "head": [ "97", "98", "NORP", "Jewish" ], "tail": [ "119", "121", "PERSON", "Harry Styles" ] } ], [ { "head": [ "111", "114", "NORP", "Pa/estinians" ], "tail": [ "33", "34", "ORG", "Isr*el" ] } ], [ { "head": [ "111", "114", "NORP", "Pa/estinians" ], "tail": [ "119", "121", "PERSON", "Harry Styles" ] } ], [ { "head": [ "119", "121", "PERSON", "Harry Styles" ], "tail": [ "8", "9", "NORP", "Zionism" ] } ], [ { "head": [ "119", "121", "PERSON", "Harry Styles" ], "tail": [ "12", "14", "CARDINAL", "only 6" ] } ], [ { "head": [ "119", "121", "PERSON", "Harry Styles" ], "tail": [ "33", "34", "ORG", "Isr*el" ] } ], [ { "head": [ "119", "121", "PERSON", "Harry Styles" ], "tail": [ "63", "65", "WORK_OF_ART", "Black Widow" ] } ], [ { "head": [ "119", "121", "PERSON", "Harry Styles" ], "tail": [ "66", "68", "WORK_OF_ART", "Wonder Woman" ] } ], [ { "head": [ "119", "121", "PERSON", "Harry Styles" ], "tail": [ "97", "98", "NORP", "Jewish" ] } ], [ { "head": [ "119", "121", "PERSON", "Harry Styles" ], "tail": [ "111", "114", "NORP", "Pa/estinians" ] } ], [ { "head": [ "119", "121", "PERSON", "Harry Styles" ], "tail": [ "127", "133", "WORK_OF_ART", "Why I'm Pro-Israeli" ] } ], [ { "head": [ "119", "121", "PERSON", "Harry Styles" ], "tail": [ "134", "137", "NORP", "Pro-Palestinian" ] } ], [ { "head": [ "127", "133", "WORK_OF_ART", "Why I'm Pro-Israeli" ], "tail": [ "33", "34", "ORG", "Isr*el" ] } ], [ { "head": [ "127", "133", "WORK_OF_ART", "Why I'm Pro-Israeli" ], "tail": [ "119", "121", "PERSON", "Harry Styles" ] } ], [ { "head": [ "134", "137", "NORP", "Pro-Palestinian" ], "tail": [ "33", "34", "ORG", "Isr*el" ] } ], [ { "head": [ "134", "137", "NORP", "Pro-Palestinian" ], "tail": [ "119", "121", "PERSON", "Harry Styles" ] } ] ]
[ " SUPPORTS", " SUPPORTS", " SUPPORTS", " SUPPORTED_BY", " SUPPORTS", " SUPPORTED_BY", " SUPPORTED_BY", " SUPPORTED_BY", " SUPPORTS", " SUPPORTS_GENOCIDE_AGAINST", " SUPPORTS", " SUBJECT_OF. This text mentions that \"Isr*el\" is the subject", " OPPOSED_BY", " SUPPORTS", " SUPPORTS", " SUPPORTS", " SUPPORTS", " SUPPORTS", " SUPPORTS", " OPPOSED_BY", " SUPPORTED_BY", " SUPPORTS", " SUPPORTED_BY", " SUPPORTS", " ACTED_IN", " SUPPORTS", " SUPPORTS\n\n Explanation:\n The text mentions that Harry", " SUPPORTS\n\n Explanation:\n The text mentions that Harry", " CREATED_BY", " SUPPORTS", " SUPPORTS", " CREATED_BY", " OPPOSED_BY", " SUPPORTS" ]
[ [ "8", "9", "NORP", "Zionism" ], [ "12", "14", "CARDINAL", "only 6" ], [ "33", "34", "ORG", "Isr*el" ], [ "63", "65", "WORK_OF_ART", "Black Widow" ], [ "66", "68", "WORK_OF_ART", "Wonder Woman" ], [ "97", "98", "NORP", "Jewish" ], [ "111", "114", "NORP", "Pa/estinians" ], [ "119", "121", "PERSON", "Harry Styles" ], [ "127", "133", "WORK_OF_ART", "Why I'm Pro-Israeli" ], [ "134", "137", "NORP", "Pro-Palestinian" ] ]
643
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[ "Malcolm Gladwell has written a profile of the famous distance runner Alberto Salazar in this week’s New Yorker magazine (unfortunately, most of it is behind a paywall).\nHere’s a passage that struck me (I hope you can see it in an RSS Reader):\nThough I suppose one can connect this some way to school reform issues, I’m more concerned in this post to relating it to the classroom.\nIt seems to me that, though our students can’t really physically exit our classrooms, if we don’t provide genuine opportunities for voice, then they can certainly “check-out” mentally.\nIt’s an interesting framework.\nWhat are your thoughts?" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Malcolm Gladwell has written a profile of the famous distance runner Alberto Salazar in this week’s New Yorker magazine (unfortunately, most of it is behind a paywall).\nHere’s a passage that struck me (I hope you can see it in an RSS Reader):\nThough I suppose one can connect this some way to school reform issues, I’m more concerned in this post to relating it to the classroom.\nIt seems to me that, though our students can’t really physically exit our classrooms, if we don’t provide genuine opportunities for voice, then they can certainly “check-out” mentally.\nIt’s an interesting framework.\nWhat are your thoughts?'] Entities: [{'head': ['0', '2', 'PERSON', 'Malcolm Gladwell'], 'tail': ['11', '13', 'PERSON', 'Alberto Salazar']}] Relation:
[ [ { "head": [ "0", "2", "PERSON", "Malcolm Gladwell" ], "tail": [ "11", "13", "PERSON", "Alberto Salazar" ] } ], [ { "head": [ "0", "2", "PERSON", "Malcolm Gladwell" ], "tail": [ "15", "16", "DATE", "week" ] } ], [ { "head": [ "0", "2", "PERSON", "Malcolm Gladwell" ], "tail": [ "17", "19", "ORG", "New Yorker" ] } ], [ { "head": [ "11", "13", "PERSON", "Alberto Salazar" ], "tail": [ "0", "2", "PERSON", "Malcolm Gladwell" ] } ], [ { "head": [ "11", "13", "PERSON", "Alberto Salazar" ], "tail": [ "15", "16", "DATE", "week" ] } ], [ { "head": [ "11", "13", "PERSON", "Alberto Salazar" ], "tail": [ "17", "19", "ORG", "New Yorker" ] } ], [ { "head": [ "15", "16", "DATE", "week" ], "tail": [ "0", "2", "PERSON", "Malcolm Gladwell" ] } ], [ { "head": [ "15", "16", "DATE", "week" ], "tail": [ "11", "13", "PERSON", "Alberto Salazar" ] } ], [ { "head": [ "15", "16", "DATE", "week" ], "tail": [ "17", "19", "ORG", "New Yorker" ] } ], [ { "head": [ "17", "19", "ORG", "New Yorker" ], "tail": [ "0", "2", "PERSON", "Malcolm Gladwell" ] } ], [ { "head": [ "17", "19", "ORG", "New Yorker" ], "tail": [ "11", "13", "PERSON", "Alberto Salazar" ] } ], [ { "head": [ "17", "19", "ORG", "New Yorker" ], "tail": [ "15", "16", "DATE", "week" ] } ] ]
[ " WRITTEN_ABOUT", " WROTE_ABOUT", " WRITTEN_FOR\n\n Explanation:\n Malcolm Gladwell", " PROFILED_BY", " SUBJECT_OF\n\n Entities: \n [{'head': ['1", " WRITTEN_FOR\n\n Explanation:\n The text mentions", " WROTE", " PROFILED_BY", " PUBLISHED_IN", " WRITTEN_BY", " PROFILED_BY", " PUBLISHED_IN" ]
[ [ "0", "2", "PERSON", "Malcolm Gladwell" ], [ "11", "13", "PERSON", "Alberto Salazar" ], [ "15", "16", "DATE", "week" ], [ "17", "19", "ORG", "New Yorker" ] ]
644
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[ "World of Difference\nMake a World of Difference\nAnimals from around the world join paws to remind us that despite our differences we all have a responsibility to make the world the best place possible to live.\nHand embellished with Lolly Dust\nStock: 60lb acid-free matte\nAvailable print sizes: 5x7, 8x10 or 11x14\nAvailable card size: 5x7\nShipping: via USPS within 1-2 business days\nPlease note, that the appearance of colors may vary from monitor to monitor." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['World of Difference\nMake a World of Difference\nAnimals from around the world join paws to remind us that despite our differences we all have a responsibility to make the world the best place possible to live.\nHand embellished with Lolly Dust\nStock: 60lb acid-free matte\nAvailable print sizes: 5x7, 8x10 or 11x14\nAvailable card size: 5x7\nShipping: via USPS within 1-2 business days\nPlease note, that the appearance of colors may vary from monitor to monitor.'] Entities: [{'head': ['0', '3', 'PERSON', 'World of Difference'], 'tail': ['4', '9', 'WORK_OF_ART', 'Make a World of Difference']}] Relation:
[ [ { "head": [ "0", "3", "PERSON", "World of Difference" ], "tail": [ "4", "9", "WORK_OF_ART", "Make a World of Difference" ] } ], [ { "head": [ "0", "3", "PERSON", "World of Difference" ], "tail": [ "44", "46", "PRODUCT", "Lolly Dust" ] } ], [ { "head": [ "0", "3", "PERSON", "World of Difference" ], "tail": [ "49", "51", "QUANTITY", "60lb" ] } ], [ { "head": [ "0", "3", "PERSON", "World of Difference" ], "tail": [ "60", "61", "CARDINAL", "5x7" ] } ], [ { "head": [ "0", "3", "PERSON", "World of Difference" ], "tail": [ "62", "63", "CARDINAL", "8x10" ] } ], [ { "head": [ "0", "3", "PERSON", "World of Difference" ], "tail": [ "64", "65", "CARDINAL", "11x14" ] } ], [ { "head": [ "0", "3", "PERSON", "World of Difference" ], "tail": [ "70", "71", "CARDINAL", "5x7" ] } ], [ { "head": [ "0", "3", "PERSON", "World of Difference" ], "tail": [ "75", "76", "ORG", "USPS" ] } ], [ { "head": [ "0", "3", "PERSON", "World of Difference" ], "tail": [ "77", "82", "DATE", "1-2 business days" ] } ], [ { "head": [ "4", "9", "WORK_OF_ART", "Make a World of Difference" ], "tail": [ "0", "3", "PERSON", "World of Difference" ] } ], [ { "head": [ "4", "9", "WORK_OF_ART", "Make a World of Difference" ], "tail": [ "75", "76", "ORG", "USPS" ] } ], [ { "head": [ "44", "46", "PRODUCT", "Lolly Dust" ], "tail": [ "0", "3", "PERSON", "World of Difference" ] } ], [ { "head": [ "44", "46", "PRODUCT", "Lolly Dust" ], "tail": [ "75", "76", "ORG", "USPS" ] } ], [ { "head": [ "49", "51", "QUANTITY", "60lb" ], "tail": [ "0", "3", "PERSON", "World of Difference" ] } ], [ { "head": [ "49", "51", "QUANTITY", "60lb" ], "tail": [ "75", "76", "ORG", "USPS" ] } ], [ { "head": [ "60", "61", "CARDINAL", "5x7" ], "tail": [ "0", "3", "PERSON", "World of Difference" ] } ], [ { "head": [ "60", "61", "CARDINAL", "5x7" ], "tail": [ "75", "76", "ORG", "USPS" ] } ], [ { "head": [ "62", "63", "CARDINAL", "8x10" ], "tail": [ "0", "3", "PERSON", "World of Difference" ] } ], [ { "head": [ "62", "63", "CARDINAL", "8x10" ], "tail": [ "75", "76", "ORG", "USPS" ] } ], [ { "head": [ "64", "65", "CARDINAL", "11x14" ], "tail": [ "0", "3", "PERSON", "World of Difference" ] } ], [ { "head": [ "64", "65", "CARDINAL", "11x14" ], "tail": [ "75", "76", "ORG", "USPS" ] } ], [ { "head": [ "70", "71", "CARDINAL", "5x7" ], "tail": [ "0", "3", "PERSON", "World of Difference" ] } ], [ { "head": [ "70", "71", "CARDINAL", "5x7" ], "tail": [ "75", "76", "ORG", "USPS" ] } ], [ { "head": [ "75", "76", "ORG", "USPS" ], "tail": [ "0", "3", "PERSON", "World of Difference" ] } ], [ { "head": [ "75", "76", "ORG", "USPS" ], "tail": [ "4", "9", "WORK_OF_ART", "Make a World of Difference" ] } ], [ { "head": [ "75", "76", "ORG", "USPS" ], "tail": [ "44", "46", "PRODUCT", "Lolly Dust" ] } ], [ { "head": [ "75", "76", "ORG", "USPS" ], "tail": [ "49", "51", "QUANTITY", "60lb" ] } ], [ { "head": [ "75", "76", "ORG", "USPS" ], "tail": [ "60", "61", "CARDINAL", "5x7" ] } ], [ { "head": [ "75", "76", "ORG", "USPS" ], "tail": [ "62", "63", "CARDINAL", "8x10" ] } ], [ { "head": [ "75", "76", "ORG", "USPS" ], "tail": [ "64", "65", "CARDINAL", "11x14" ] } ], [ { "head": [ "75", "76", "ORG", "USPS" ], "tail": [ "70", "71", "CARDINAL", "5x7" ] } ], [ { "head": [ "75", "76", "ORG", "USPS" ], "tail": [ "77", "82", "DATE", "1-2 business days" ] } ], [ { "head": [ "77", "82", "DATE", "1-2 business days" ], "tail": [ "0", "3", "PERSON", "World of Difference" ] } ], [ { "head": [ "77", "82", "DATE", "1-2 business days" ], "tail": [ "75", "76", "ORG", "USPS" ] } ] ]
[ " CREATED_BY", " PRODUCES", " HAS_QUANTITY", " PROVIDES_SIZE_FOR\n\n Explanation:\n The head entity \"", " AVAILABLE_SIZE", " PRINT_SIZE", " AVAILABLE_SIZE", " SHIPS", " SHIPS_IN\n\n Explanation:\n The head entity \"World of", " CREATED_BY", " SHIPS_WITH", " PRODUCED_BY", " SHIPS_WITH", " SELLER_HAS_STOCK", " SHIPS_WITH", " AVAILABLE_FOR_SIZE\n\n Explanation:\n The text states", " SHIPS_WITH", " HAS_SIZE", " SHIPS_WITH", " AVAILABLE_FOR_SIZE", " SHIPS_WITH", " AVAILABLE_SIZE", " SHIPS_WITH", " SHIPS", " SHIPS", " SHIPS", " SHIPS_WITH_QUANTITY", " SHIPS_WITH\n OR:\n AVAILABLE_IN\n (Note", " SHIPS_WITH\n OR:\n AVAILABLE_IN\n (Note", " SHIPS_WITH_SIZE", " SHIPS_WITH\n OR:\n AVAILABLE_IN\n (Note", " SHIPS_IN\n\n Explanation:\n The text states that USPS", " SHIPS_WITH\n\n Explanation:\n The text states that \"Ship", " SHIPS" ]
[ [ "0", "3", "PERSON", "World of Difference" ], [ "4", "9", "WORK_OF_ART", "Make a World of Difference" ], [ "44", "46", "PRODUCT", "Lolly Dust" ], [ "49", "51", "QUANTITY", "60lb" ], [ "60", "61", "CARDINAL", "5x7" ], [ "62", "63", "CARDINAL", "8x10" ], [ "64", "65", "CARDINAL", "11x14" ], [ "70", "71", "CARDINAL", "5x7" ], [ "75", "76", "ORG", "USPS" ], [ "77", "82", "DATE", "1-2 business days" ] ]
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[ "Neil Kinnock - Politics Quotes\n3 Sourced Quotes\nI'll tell you what happens with impossible promises. You start with far fetched resolutions. They are then pickled into a rigid dogma, a code, and you go through the years sticking to that, out-dated, misplaced, irrelevant to the real needs, and you end in the grotesque chaos of a Labour council—a Labour council—hiring taxis to scuttle round a city handing out redundancy notices to its own workers. I'm telling you - and you'll listen - you can't play politics with people's jobs and with people's services. The people will not abide posturing." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ["Neil Kinnock - Politics Quotes\n3 Sourced Quotes\nI'll tell you what happens with impossible promises. You start with far fetched resolutions. They are then pickled into a rigid dogma, a code, and you go through the years sticking to that, out-dated, misplaced, irrelevant to the real needs, and you end in the grotesque chaos of a Labour council—a Labour council—hiring taxis to scuttle round a city handing out redundancy notices to its own workers. I'm telling you - and you'll listen - you can't play politics with people's jobs and with people's services. The people will not abide posturing."] Entities: [{'head': ['0', '2', 'PERSON', 'Neil Kinnock'], 'tail': ['6', '7', 'CARDINAL', '3']}] Relation:
[ [ { "head": [ "0", "2", "PERSON", "Neil Kinnock" ], "tail": [ "6", "7", "CARDINAL", "3" ] } ], [ { "head": [ "0", "2", "PERSON", "Neil Kinnock" ], "tail": [ "43", "45", "DATE", "the years" ] } ], [ { "head": [ "0", "2", "PERSON", "Neil Kinnock" ], "tail": [ "70", "71", "ORG", "Labour" ] } ], [ { "head": [ "0", "2", "PERSON", "Neil Kinnock" ], "tail": [ "74", "75", "ORG", "Labour" ] } ], [ { "head": [ "6", "7", "CARDINAL", "3" ], "tail": [ "0", "2", "PERSON", "Neil Kinnock" ] } ], [ { "head": [ "6", "7", "CARDINAL", "3" ], "tail": [ "70", "71", "ORG", "Labour" ] } ], [ { "head": [ "6", "7", "CARDINAL", "3" ], "tail": [ "74", "75", "ORG", "Labour" ] } ], [ { "head": [ "43", "45", "DATE", "the years" ], "tail": [ "0", "2", "PERSON", "Neil Kinnock" ] } ], [ { "head": [ "43", "45", "DATE", "the years" ], "tail": [ "70", "71", "ORG", "Labour" ] } ], [ { "head": [ "43", "45", "DATE", "the years" ], "tail": [ "74", "75", "ORG", "Labour" ] } ], [ { "head": [ "70", "71", "ORG", "Labour" ], "tail": [ "0", "2", "PERSON", "Neil Kinnock" ] } ], [ { "head": [ "70", "71", "ORG", "Labour" ], "tail": [ "6", "7", "CARDINAL", "3" ] } ], [ { "head": [ "70", "71", "ORG", "Labour" ], "tail": [ "43", "45", "DATE", "the years" ] } ], [ { "head": [ "70", "71", "ORG", "Labour" ], "tail": [ "74", "75", "ORG", "Labour" ] } ], [ { "head": [ "74", "75", "ORG", "Labour" ], "tail": [ "0", "2", "PERSON", "Neil Kinnock" ] } ], [ { "head": [ "74", "75", "ORG", "Labour" ], "tail": [ "6", "7", "CARDINAL", "3" ] } ], [ { "head": [ "74", "75", "ORG", "Labour" ], "tail": [ "43", "45", "DATE", "the years" ] } ], [ { "head": [ "74", "75", "ORG", "Labour" ], "tail": [ "70", "71", "ORG", "Labour" ] } ] ]
[ " MADE_SOURCED_QUOTES_WITH\n OR:\n ", " GOVERNED_BY", " HEAD_OF\n\n Explanation:\n Neil Kinnock is the", " HEAD_OF\n\n Explanation:\n Neil Kinnock is the", " SPOKE_ABOUT", " GOVERNS", " GOVERNS", " PAST_EXPERIENCE", " GOVERNED_BY", " GOVERNED_BY", " HEAD_OF\n\n Explanation:\n The text describes Neil Kinn", " GOVERNS \n\n Explanation:\n The text describes Labour council hiring", " GOVERNED_BY", " LOCAL_GOVERNMENT", " HEAD_OF\n\n Explanation:\n The text describes Neil Kinn", " GOVERNS \n\n Explanation:\n The text describes Labour council hiring", " GOVERNED_BY", " LOCAL_GOVERNMENT" ]
[ [ "0", "2", "PERSON", "Neil Kinnock" ], [ "6", "7", "CARDINAL", "3" ], [ "43", "45", "DATE", "the years" ], [ "70", "71", "ORG", "Labour" ], [ "74", "75", "ORG", "Labour" ] ]
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[ "Spending Christmas in Italy? Our newest writer Urmi shows us how to live like a local!\nBuild your authentic life in Italy! Live in Italy Magazine is an experiential lifestyle news site dedicated to anyone who has or will make Italy their home away from home. Read stories from expats and Italians. Named the Best Italy Magazine by Feedspot!\nWe feature in-depth articles and interviews covering:\n- Expat Life\n- Food & Wine\n- Design, Art, & Culture\n- Real Estate & Long-Term Rentals\nWe are committed to creating great content. Please consider becoming a Sponsor by donating on Patreon.\nThank you for your support!" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Spending Christmas in Italy? Our newest writer Urmi shows us how to live like a local!\nBuild your authentic life in Italy! Live in Italy Magazine is an experiential lifestyle news site dedicated to anyone who has or will make Italy their home away from home. Read stories from expats and Italians. Named the Best Italy Magazine by Feedspot!\nWe feature in-depth articles and interviews covering:\n- Expat Life\n- Food & Wine\n- Design, Art, & Culture\n- Real Estate & Long-Term Rentals\nWe are committed to creating great content. Please consider becoming a Sponsor by donating on Patreon.\nThank you for your support!'] Entities: [{'head': ['1', '2', 'DATE', 'Christmas'], 'tail': ['3', '4', 'GPE', 'Italy']}] Relation:
[ [ { "head": [ "1", "2", "DATE", "Christmas" ], "tail": [ "3", "4", "GPE", "Italy" ] } ], [ { "head": [ "1", "2", "DATE", "Christmas" ], "tail": [ "8", "9", "PERSON", "Urmi" ] } ], [ { "head": [ "1", "2", "DATE", "Christmas" ], "tail": [ "24", "25", "GPE", "Italy" ] } ], [ { "head": [ "1", "2", "DATE", "Christmas" ], "tail": [ "26", "30", "ORG", "Live in Italy Magazine" ] } ], [ { "head": [ "1", "2", "DATE", "Christmas" ], "tail": [ "44", "45", "GPE", "Italy" ] } ], [ { "head": [ "1", "2", "DATE", "Christmas" ], "tail": [ "64", "65", "ORG", "Feedspot" ] } ], [ { "head": [ "1", "2", "DATE", "Christmas" ], "tail": [ "120", "121", "ORG", "Patreon" ] } ], [ { "head": [ "3", "4", "GPE", "Italy" ], "tail": [ "1", "2", "DATE", "Christmas" ] } ], [ { "head": [ "3", "4", "GPE", "Italy" ], "tail": [ "8", "9", "PERSON", "Urmi" ] } ], [ { "head": [ "3", "4", "GPE", "Italy" ], "tail": [ "24", "25", "GPE", "Italy" ] } ], [ { "head": [ "3", "4", "GPE", "Italy" ], "tail": [ "26", "30", "ORG", "Live in Italy Magazine" ] } ], [ { "head": [ "3", "4", "GPE", "Italy" ], "tail": [ "44", "45", "GPE", "Italy" ] } ], [ { "head": [ "3", "4", "GPE", "Italy" ], "tail": [ "56", "57", "NORP", "Italians" ] } ], [ { "head": [ "3", "4", "GPE", "Italy" ], "tail": [ "64", "65", "ORG", "Feedspot" ] } ], [ { "head": [ "3", "4", "GPE", "Italy" ], "tail": [ "120", "121", "ORG", "Patreon" ] } ], [ { "head": [ "8", "9", "PERSON", "Urmi" ], "tail": [ "1", "2", "DATE", "Christmas" ] } ], [ { "head": [ "8", "9", "PERSON", "Urmi" ], "tail": [ "3", "4", "GPE", "Italy" ] } ], [ { "head": [ "8", "9", "PERSON", "Urmi" ], "tail": [ "24", "25", "GPE", "Italy" ] } ], [ { "head": [ "8", "9", "PERSON", "Urmi" ], "tail": [ "26", "30", "ORG", "Live in Italy Magazine" ] } ], [ { "head": [ "8", "9", "PERSON", "Urmi" ], "tail": [ "44", "45", "GPE", "Italy" ] } ], [ { "head": [ "8", "9", "PERSON", "Urmi" ], "tail": [ "56", "57", "NORP", "Italians" ] } ], [ { "head": [ "8", "9", "PERSON", "Urmi" ], "tail": [ "64", "65", "ORG", "Feedspot" ] } ], [ { "head": [ "8", "9", "PERSON", "Urmi" ], "tail": [ "120", "121", "ORG", "Patreon" ] } ], [ { "head": [ "24", "25", "GPE", "Italy" ], "tail": [ "1", "2", "DATE", "Christmas" ] } ], [ { "head": [ "24", "25", "GPE", "Italy" ], "tail": [ "3", "4", "GPE", "Italy" ] } ], [ { "head": [ "24", "25", "GPE", "Italy" ], "tail": [ "8", "9", "PERSON", "Urmi" ] } ], [ { "head": [ "24", "25", "GPE", "Italy" ], "tail": [ "26", "30", "ORG", "Live in Italy Magazine" ] } ], [ { "head": [ "24", "25", "GPE", "Italy" ], "tail": [ "44", "45", "GPE", "Italy" ] } ], [ { "head": [ "24", "25", "GPE", "Italy" ], "tail": [ "56", "57", "NORP", "Italians" ] } ], [ { "head": [ "24", "25", "GPE", "Italy" ], "tail": [ "64", "65", "ORG", "Feedspot" ] } ], [ { "head": [ "24", "25", "GPE", "Italy" ], "tail": [ "120", "121", "ORG", "Patreon" ] } ], [ { "head": [ "26", "30", "ORG", "Live in Italy Magazine" ], "tail": [ "1", "2", "DATE", "Christmas" ] } ], [ { "head": [ "26", "30", "ORG", "Live in Italy Magazine" ], "tail": [ "3", "4", "GPE", "Italy" ] } ], [ { "head": [ "26", "30", "ORG", "Live in Italy Magazine" ], "tail": [ "8", "9", "PERSON", "Urmi" ] } ], [ { "head": [ "26", "30", "ORG", "Live in Italy Magazine" ], "tail": [ "24", "25", "GPE", "Italy" ] } ], [ { "head": [ "26", "30", "ORG", "Live in Italy Magazine" ], "tail": [ "44", "45", "GPE", "Italy" ] } ], [ { "head": [ "26", "30", "ORG", "Live in Italy Magazine" ], "tail": [ "56", "57", "NORP", "Italians" ] } ], [ { "head": [ "26", "30", "ORG", "Live in Italy Magazine" ], "tail": [ "64", "65", "ORG", "Feedspot" ] } ], [ { "head": [ "26", "30", "ORG", "Live in Italy Magazine" ], "tail": [ "120", "121", "ORG", "Patreon" ] } ], [ { "head": [ "44", "45", "GPE", "Italy" ], "tail": [ "1", "2", "DATE", "Christmas" ] } ], [ { "head": [ "44", "45", "GPE", "Italy" ], "tail": [ "3", "4", "GPE", "Italy" ] } ], [ { "head": [ "44", "45", "GPE", "Italy" ], "tail": [ "8", "9", "PERSON", "Urmi" ] } ], [ { "head": [ "44", "45", "GPE", "Italy" ], "tail": [ "24", "25", "GPE", "Italy" ] } ], [ { "head": [ "44", "45", "GPE", "Italy" ], "tail": [ "26", "30", "ORG", "Live in Italy Magazine" ] } ], [ { "head": [ "44", "45", "GPE", "Italy" ], "tail": [ "56", "57", "NORP", "Italians" ] } ], [ { "head": [ "44", "45", "GPE", "Italy" ], "tail": [ "64", "65", "ORG", "Feedspot" ] } ], [ { "head": [ "44", "45", "GPE", "Italy" ], "tail": [ "120", "121", "ORG", "Patreon" ] } ], [ { "head": [ "56", "57", "NORP", "Italians" ], "tail": [ "3", "4", "GPE", "Italy" ] } ], [ { "head": [ "56", "57", "NORP", "Italians" ], "tail": [ "8", "9", "PERSON", "Urmi" ] } ], [ { "head": [ "56", "57", "NORP", "Italians" ], "tail": [ "24", "25", "GPE", "Italy" ] } ], [ { "head": [ "56", "57", "NORP", "Italians" ], "tail": [ "26", "30", "ORG", "Live in Italy Magazine" ] } ], [ { "head": [ "56", "57", "NORP", "Italians" ], "tail": [ "44", "45", "GPE", "Italy" ] } ], [ { "head": [ "56", "57", "NORP", "Italians" ], "tail": [ "64", "65", "ORG", "Feedspot" ] } ], [ { "head": [ "56", "57", "NORP", "Italians" ], "tail": [ "120", "121", "ORG", "Patreon" ] } ], [ { "head": [ "64", "65", "ORG", "Feedspot" ], "tail": [ "1", "2", "DATE", "Christmas" ] } ], [ { "head": [ "64", "65", "ORG", "Feedspot" ], "tail": [ "3", "4", "GPE", "Italy" ] } ], [ { "head": [ "64", "65", "ORG", "Feedspot" ], "tail": [ "8", "9", "PERSON", "Urmi" ] } ], [ { "head": [ "64", "65", "ORG", "Feedspot" ], "tail": [ "24", "25", "GPE", "Italy" ] } ], [ { "head": [ "64", "65", "ORG", "Feedspot" ], "tail": [ "26", "30", "ORG", "Live in Italy Magazine" ] } ], [ { "head": [ "64", "65", "ORG", "Feedspot" ], "tail": [ "44", "45", "GPE", "Italy" ] } ], [ { "head": [ "64", "65", "ORG", "Feedspot" ], "tail": [ "56", "57", "NORP", "Italians" ] } ], [ { "head": [ "64", "65", "ORG", "Feedspot" ], "tail": [ "120", "121", "ORG", "Patreon" ] } ], [ { "head": [ "120", "121", "ORG", "Patreon" ], "tail": [ "1", "2", "DATE", "Christmas" ] } ], [ { "head": [ "120", "121", "ORG", "Patreon" ], "tail": [ "3", "4", "GPE", "Italy" ] } ], [ { "head": [ "120", "121", "ORG", "Patreon" ], "tail": [ "8", "9", "PERSON", "Urmi" ] } ], [ { "head": [ "120", "121", "ORG", "Patreon" ], "tail": [ "24", "25", "GPE", "Italy" ] } ], [ { "head": [ "120", "121", "ORG", "Patreon" ], "tail": [ "26", "30", "ORG", "Live in Italy Magazine" ] } ], [ { "head": [ "120", "121", "ORG", "Patreon" ], "tail": [ "44", "45", "GPE", "Italy" ] } ], [ { "head": [ "120", "121", "ORG", "Patreon" ], "tail": [ "56", "57", "NORP", "Italians" ] } ], [ { "head": [ "120", "121", "ORG", "Patreon" ], "tail": [ "64", "65", "ORG", "Feedspot" ] } ] ]
[ " SPENDS_CHRISTMAS_IN", " WRITES\n\n Explanation:\n Urmi writes articles for Live", " SPENDS_CHRISTMAS_IN", " PUBLISHES", " SPENDS_CHRISTMAS_IN", " RECOGNIZED_BY", " SUPPORTS", " SPENDS_CHRISTMAS_IN", " LIVES_IN", " LIVES_IN", " DEDICATED_TO", " LIVES_IN", " LIVE_IN_LOCATION\n\n Explanation:\n The text describes", " RECOGNIZED_BY", " SUPPORTS", " LIVES_IN\n\n Explanation:\n The text mentions that", " LIVES_IN", " LIVES_IN", " WRITES_FOR", " LIVES_IN", " WRITE_FOR\n or\n AUTHOR_OF\n or\n CON", " BEST_OF", " SUPPORTS", " SPENDS_CHRISTMAS_IN", " IN_COUNTRY", " LIVES_IN", " LOCATED_IN", " IN_COUNTRY", " LIVE_IN_COUNTRY", " RECOGNIZED_BY", " SUPPORTS", " EXPERIENCES_CHRISTMAS_IN\n\n Explanation", " BASED_IN", " WRITES_FOR", " LIVES_IN", " BASED_IN", " FEATURES_ARTICLES_FROM", " RECOGNIZED_BY", " SPONSORSHIP", " SPENDS_CHRISTMAS_IN", " IN_COUNTRY", " LIVES_IN", " COLOCATION", " COVERS_TOPIC", " LIVE_IN_COUNTRY_OF\n or\n RESIDE_IN", " RECOGNIZED_BY", " SPONSORSHIP", " ORIGIN_FROM", " WRITE_FOR\n\n Explanation:\n The text mentions that U", " ORIGIN_FROM", " PUBLISHES_ARTICLES_BY", " ORIGIN_FROM", " RECOGNIZED_BY", " SUPPORTS", " BEST_OF\n\n Explanation:\n The text mentions that '", " BEST_OF", " BEST_OF.\n # This relation indicates that the head entity (Feedspot)", " BEST_OF", " BEST_OF", " BEST_OF", " FEEDSPOT_NAMED_BEST_BY_FEEDSPOT_FOR", " SPONSORSHIP", " SUPPORTS\n\n Explanation:\n The text mentions that readers", " SUPPORTS\n\n Explanation:\n The text mentions that readers", " SPONSOR", " SUPPORTS", " SPONSORSHIP", " SUPPORTS", " SUPPORTS", " SPONSORSHIP" ]
[ [ "1", "2", "DATE", "Christmas" ], [ "3", "4", "GPE", "Italy" ], [ "8", "9", "PERSON", "Urmi" ], [ "24", "25", "GPE", "Italy" ], [ "26", "30", "ORG", "Live in Italy Magazine" ], [ "44", "45", "GPE", "Italy" ], [ "56", "57", "NORP", "Italians" ], [ "64", "65", "ORG", "Feedspot" ], [ "120", "121", "ORG", "Patreon" ] ]
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[ "WELCOME TO YOUR HAPPY PLACE\nLO in LONDON is a fine paper goods and whimsical design company featuring the illustrative artwork of our founder, Laura Wright (cue greeting cards, art prints, notepads)... but we're also a whole lot more! Take a little looksy around our collection of highly curated goods that include one-of-a-kind wearables, ready to hang original art and an array of luxury, high-style goods for home, baby, pet... AND YOU!\nDue to the curated and artisinal nature of the products we carefully seek out, many items are only available in limited quantities. Snag up what you want before someone else does!\nE N J O Y !" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ["WELCOME TO YOUR HAPPY PLACE\nLO in LONDON is a fine paper goods and whimsical design company featuring the illustrative artwork of our founder, Laura Wright (cue greeting cards, art prints, notepads)... but we're also a whole lot more! Take a little looksy around our collection of highly curated goods that include one-of-a-kind wearables, ready to hang original art and an array of luxury, high-style goods for home, baby, pet... AND YOU!\nDue to the curated and artisinal nature of the products we carefully seek out, many items are only available in limited quantities. Snag up what you want before someone else does!\nE N J O Y !"] Entities: [{'head': ['6', '7', 'FAC', 'LO'], 'tail': ['8', '9', 'GPE', 'LONDON']}] Relation:
[ [ { "head": [ "6", "7", "FAC", "LO" ], "tail": [ "8", "9", "GPE", "LONDON" ] } ], [ { "head": [ "6", "7", "FAC", "LO" ], "tail": [ "26", "28", "PERSON", "Laura Wright" ] } ], [ { "head": [ "8", "9", "GPE", "LONDON" ], "tail": [ "6", "7", "FAC", "LO" ] } ], [ { "head": [ "8", "9", "GPE", "LONDON" ], "tail": [ "26", "28", "PERSON", "Laura Wright" ] } ], [ { "head": [ "26", "28", "PERSON", "Laura Wright" ], "tail": [ "6", "7", "FAC", "LO" ] } ], [ { "head": [ "26", "28", "PERSON", "Laura Wright" ], "tail": [ "8", "9", "GPE", "LONDON" ] } ] ]
[ " LOCATED_IN", " FOUNDER_OF", " LOCATED_IN", " FOUNDER_OF", " FOUNDER_OF", " FOUNDER_OF" ]
[ [ "6", "7", "FAC", "LO" ], [ "8", "9", "GPE", "LONDON" ], [ "26", "28", "PERSON", "Laura Wright" ] ]
648
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[ "The 73-year-old billionaire shared a photo on Instagram showing his bloodied arm and bruised hip, revealing that he had taken a “nasty” tumble after hitting a pothole. Fortunately, he escaped without any broken bones.\nExpressing gratitude for his health and activity, Branson quoted a saying: “After all, the brave may not live forever but the cautious do not live at all!”\nThis isn’t the first time Branson has faced danger while cycling. In 2021, he was involved in a serious crash on another island in the British Virgin Islands during a charity ride.\nKnown for his adventurous spirit, Branson has attempted numerous world records in the past. More recently, he has been focused on launching commercial space flights with his company Virgin Galactic." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['The 73-year-old billionaire shared a photo on Instagram showing his bloodied arm and bruised hip, revealing that he had taken a “nasty” tumble after hitting a pothole. Fortunately, he escaped without any broken bones.\nExpressing gratitude for his health and activity, Branson quoted a saying: “After all, the brave may not live forever but the cautious do not live at all!”\nThis isn’t the first time Branson has faced danger while cycling. In 2021, he was involved in a serious crash on another island in the British Virgin Islands during a charity ride.\nKnown for his adventurous spirit, Branson has attempted numerous world records in the past. More recently, he has been focused on launching commercial space flights with his company Virgin Galactic.'] Entities: [{'head': ['1', '6', 'DATE', '73-year-old'], 'tail': ['53', '54', 'PERSON', 'Branson']}] Relation:
[ [ { "head": [ "1", "6", "DATE", "73-year-old" ], "tail": [ "53", "54", "PERSON", "Branson" ] } ], [ { "head": [ "1", "6", "DATE", "73-year-old" ], "tail": [ "85", "86", "PERSON", "Branson" ] } ], [ { "head": [ "1", "6", "DATE", "73-year-old" ], "tail": [ "106", "110", "GPE", "the British Virgin Islands" ] } ], [ { "head": [ "1", "6", "DATE", "73-year-old" ], "tail": [ "122", "123", "PERSON", "Branson" ] } ], [ { "head": [ "1", "6", "DATE", "73-year-old" ], "tail": [ "147", "149", "ORG", "Virgin Galactic" ] } ], [ { "head": [ "53", "54", "PERSON", "Branson" ], "tail": [ "1", "6", "DATE", "73-year-old" ] } ], [ { "head": [ "53", "54", "PERSON", "Branson" ], "tail": [ "83", "84", "ORDINAL", "first" ] } ], [ { "head": [ "53", "54", "PERSON", "Branson" ], "tail": [ "85", "86", "PERSON", "Branson" ] } ], [ { "head": [ "53", "54", "PERSON", "Branson" ], "tail": [ "93", "94", "DATE", "2021" ] } ], [ { "head": [ "53", "54", "PERSON", "Branson" ], "tail": [ "106", "110", "GPE", "the British Virgin Islands" ] } ], [ { "head": [ "53", "54", "PERSON", "Branson" ], "tail": [ "122", "123", "PERSON", "Branson" ] } ], [ { "head": [ "53", "54", "PERSON", "Branson" ], "tail": [ "147", "149", "ORG", "Virgin Galactic" ] } ], [ { "head": [ "83", "84", "ORDINAL", "first" ], "tail": [ "53", "54", "PERSON", "Branson" ] } ], [ { "head": [ "83", "84", "ORDINAL", "first" ], "tail": [ "85", "86", "PERSON", "Branson" ] } ], [ { "head": [ "83", "84", "ORDINAL", "first" ], "tail": [ "106", "110", "GPE", "the British Virgin Islands" ] } ], [ { "head": [ "83", "84", "ORDINAL", "first" ], "tail": [ "122", "123", "PERSON", "Branson" ] } ], [ { "head": [ "83", "84", "ORDINAL", "first" ], "tail": [ "147", "149", "ORG", "Virgin Galactic" ] } ], [ { "head": [ "85", "86", "PERSON", "Branson" ], "tail": [ "1", "6", "DATE", "73-year-old" ] } ], [ { "head": [ "85", "86", "PERSON", "Branson" ], "tail": [ "53", "54", "PERSON", "Branson" ] } ], [ { "head": [ "85", "86", "PERSON", "Branson" ], "tail": [ "83", "84", "ORDINAL", "first" ] } ], [ { "head": [ "85", "86", "PERSON", "Branson" ], "tail": [ "93", "94", "DATE", "2021" ] } ], [ { "head": [ "85", "86", "PERSON", "Branson" ], "tail": [ "106", "110", "GPE", "the British Virgin Islands" ] } ], [ { "head": [ "85", "86", "PERSON", "Branson" ], "tail": [ "122", "123", "PERSON", "Branson" ] } ], [ { "head": [ "85", "86", "PERSON", "Branson" ], "tail": [ "147", "149", "ORG", "Virgin Galactic" ] } ], [ { "head": [ "93", "94", "DATE", "2021" ], "tail": [ "53", "54", "PERSON", "Branson" ] } ], [ { "head": [ "93", "94", "DATE", "2021" ], "tail": [ "85", "86", "PERSON", "Branson" ] } ], [ { "head": [ "93", "94", "DATE", "2021" ], "tail": [ "106", "110", "GPE", "the British Virgin Islands" ] } ], [ { "head": [ "93", "94", "DATE", "2021" ], "tail": [ "122", "123", "PERSON", "Branson" ] } ], [ { "head": [ "93", "94", "DATE", "2021" ], "tail": [ "147", "149", "ORG", "Virgin Galactic" ] } ], [ { "head": [ "106", "110", "GPE", "the British Virgin Islands" ], "tail": [ "1", "6", "DATE", "73-year-old" ] } ], [ { "head": [ "106", "110", "GPE", "the British Virgin Islands" ], "tail": [ "53", "54", "PERSON", "Branson" ] } ], [ { "head": [ "106", "110", "GPE", "the British Virgin Islands" ], "tail": [ "83", "84", "ORDINAL", "first" ] } ], [ { "head": [ "106", "110", "GPE", "the British Virgin Islands" ], "tail": [ "85", "86", "PERSON", "Branson" ] } ], [ { "head": [ "106", "110", "GPE", "the British Virgin Islands" ], "tail": [ "93", "94", "DATE", "2021" ] } ], [ { "head": [ "106", "110", "GPE", "the British Virgin Islands" ], "tail": [ "122", "123", "PERSON", "Branson" ] } ], [ { "head": [ "106", "110", "GPE", "the British Virgin Islands" ], "tail": [ "147", "149", "ORG", "Virgin Galactic" ] } ], [ { "head": [ "122", "123", "PERSON", "Branson" ], "tail": [ "1", "6", "DATE", "73-year-old" ] } ], [ { "head": [ "122", "123", "PERSON", "Branson" ], "tail": [ "53", "54", "PERSON", "Branson" ] } ], [ { "head": [ "122", "123", "PERSON", "Branson" ], "tail": [ "83", "84", "ORDINAL", "first" ] } ], [ { "head": [ "122", "123", "PERSON", "Branson" ], "tail": [ "85", "86", "PERSON", "Branson" ] } ], [ { "head": [ "122", "123", "PERSON", "Branson" ], "tail": [ "93", "94", "DATE", "2021" ] } ], [ { "head": [ "122", "123", "PERSON", "Branson" ], "tail": [ "106", "110", "GPE", "the British Virgin Islands" ] } ], [ { "head": [ "122", "123", "PERSON", "Branson" ], "tail": [ "147", "149", "ORG", "Virgin Galactic" ] } ], [ { "head": [ "147", "149", "ORG", "Virgin Galactic" ], "tail": [ "1", "6", "DATE", "73-year-old" ] } ], [ { "head": [ "147", "149", "ORG", "Virgin Galactic" ], "tail": [ "53", "54", "PERSON", "Branson" ] } ], [ { "head": [ "147", "149", "ORG", "Virgin Galactic" ], "tail": [ "83", "84", "ORDINAL", "first" ] } ], [ { "head": [ "147", "149", "ORG", "Virgin Galactic" ], "tail": [ "85", "86", "PERSON", "Branson" ] } ], [ { "head": [ "147", "149", "ORG", "Virgin Galactic" ], "tail": [ "93", "94", "DATE", "2021" ] } ], [ { "head": [ "147", "149", "ORG", "Virgin Galactic" ], "tail": [ "106", "110", "GPE", "the British Virgin Islands" ] } ], [ { "head": [ "147", "149", "ORG", "Virgin Galactic" ], "tail": [ "122", "123", "PERSON", "Branson" ] } ] ]
[ " AGED_BY\n\n Explanation:\n The text states that the '", " AGED_BY\n\n Explanation:\n The text states that the ", " IN_LOCATION", " AGED_BY\n\n Explanation:\n The text states that the ", " FOUNDER", " AGE_DIFFERENCE", " PREVIOUS_EVENT_FIRST\n\n Entities: \n ", " SAME_PERSON", " INVOLVED_IN\n\n Explanation:\n The text states that Br", " CRASHED_IN", " SAME_PERSON", " FOUNDER", " PREVIOUSLY_IDENTIFIED_WITH", " PREVIOUSLY_IDENTIFIED_WITH", " CRASHED_IN.", " 'OLDER_THAN'", " FOCUSED_ON", " AGE_OF\n\n Entities: \n [{'head': ['8", " SAME_PERSON", " PREVIOUS_EVENT_FIRST\n\n Explanation:\n ", " INVOLVED_IN\n\n Explanation:\n The text states that Br", " IN_ISLANDS_OF", " SAME_PERSON", " FOUNDER", " INVOLVED_IN.", " INVOLVED_IN.", " CRASHED_IN", " INVOLVED_IN.", " FOCUSED_ON", " LOCATION_OF\n\n Explanation:\n The text mentions that", " IN_ISLANDS_OF", " IN_ISLAND_FIRST", " LOCATION_OF\n\n Explanation:\n The text states that Br", " IN_EVENT", " IN_ISLAND", " LOCATION_OF\n\n Explanation:\n The text mentions that", " AGED_BY", " SAME_PERSON", " PREVIOUS_EVENT_WITH_SAME_HEAD", " SAME_PERSON", " INVOLVED_IN\n\n Explanation:\n The text mentions that", " IN_ISLANDS_OF", " FOUNDER", " FOUNDER", " FOUNDER", " RECENTLY_FOCUSED_ON", " FOUNDER", " FOCUSED_ON\n\n Explanation:\n The text states that Br", " CRASHED_IN\n\n Explanation:\n The text mentions that", " COMPANY_FOUNDED_BY" ]
[ [ "1", "6", "DATE", "73-year-old" ], [ "53", "54", "PERSON", "Branson" ], [ "83", "84", "ORDINAL", "first" ], [ "85", "86", "PERSON", "Branson" ], [ "93", "94", "DATE", "2021" ], [ "106", "110", "GPE", "the British Virgin Islands" ], [ "122", "123", "PERSON", "Branson" ], [ "147", "149", "ORG", "Virgin Galactic" ] ]
649
651
[ "You're read Goblin Is Very Strong manga online at Manga18FX.com. Alternative(s) : ゴブリンはもう十分に強い, Goblin wa Mou Juubun ni Tsuyoi - Author(s) : Salamander\nCopyrights and trademarks for the manga, and other promotional materials are held by their respective owners and their use is allowed under the fair use clause of the Copyright Law. © 2024 Manga18FX.COM\nGoblin Is Very Strong\nContains themes or scenes that may not be suitable for very young readers thus is blocked for their protection.\nAre you over 18?\nAs an independent publisher, we rely on ads to support our website. Without ads, we'll go out of business. We need your help!" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ["You're read Goblin Is Very Strong manga online at Manga18FX.com. Alternative(s) : ゴブリンはもう十分に強い, Goblin wa Mou Juubun ni Tsuyoi - Author(s) : Salamander\nCopyrights and trademarks for the manga, and other promotional materials are held by their respective owners and their use is allowed under the fair use clause of the Copyright Law. © 2024 Manga18FX.COM\nGoblin Is Very Strong\nContains themes or scenes that may not be suitable for very young readers thus is blocked for their protection.\nAre you over 18?\nAs an independent publisher, we rely on ads to support our website. Without ads, we'll go out of business. We need your help!"] Entities: [{'head': ['3', '7', 'WORK_OF_ART', 'Goblin Is Very Strong'], 'tail': ['10', '11', 'ORG', 'Manga18FX.com']}] Relation:
[ [ { "head": [ "3", "7", "WORK_OF_ART", "Goblin Is Very Strong" ], "tail": [ "10", "11", "ORG", "Manga18FX.com" ] } ], [ { "head": [ "3", "7", "WORK_OF_ART", "Goblin Is Very Strong" ], "tail": [ "27", "28", "PERSON", "Salamander" ] } ], [ { "head": [ "10", "11", "ORG", "Manga18FX.com" ], "tail": [ "3", "7", "WORK_OF_ART", "Goblin Is Very Strong" ] } ], [ { "head": [ "10", "11", "ORG", "Manga18FX.com" ], "tail": [ "17", "23", "WORK_OF_ART", "Goblin wa Mou Juubun ni Tsuyoi" ] } ], [ { "head": [ "10", "11", "ORG", "Manga18FX.com" ], "tail": [ "27", "28", "PERSON", "Salamander" ] } ], [ { "head": [ "10", "11", "ORG", "Manga18FX.com" ], "tail": [ "57", "60", "LAW", "the Copyright Law" ] } ], [ { "head": [ "10", "11", "ORG", "Manga18FX.com" ], "tail": [ "62", "63", "DATE", "2024" ] } ], [ { "head": [ "10", "11", "ORG", "Manga18FX.com" ], "tail": [ "65", "69", "WORK_OF_ART", "Goblin Is Very Strong" ] } ], [ { "head": [ "10", "11", "ORG", "Manga18FX.com" ], "tail": [ "93", "95", "DATE", "over 18" ] } ], [ { "head": [ "17", "23", "WORK_OF_ART", "Goblin wa Mou Juubun ni Tsuyoi" ], "tail": [ "10", "11", "ORG", "Manga18FX.com" ] } ], [ { "head": [ "17", "23", "WORK_OF_ART", "Goblin wa Mou Juubun ni Tsuyoi" ], "tail": [ "27", "28", "PERSON", "Salamander" ] } ], [ { "head": [ "27", "28", "PERSON", "Salamander" ], "tail": [ "3", "7", "WORK_OF_ART", "Goblin Is Very Strong" ] } ], [ { "head": [ "27", "28", "PERSON", "Salamander" ], "tail": [ "10", "11", "ORG", "Manga18FX.com" ] } ], [ { "head": [ "27", "28", "PERSON", "Salamander" ], "tail": [ "17", "23", "WORK_OF_ART", "Goblin wa Mou Juubun ni Tsuyoi" ] } ], [ { "head": [ "27", "28", "PERSON", "Salamander" ], "tail": [ "57", "60", "LAW", "the Copyright Law" ] } ], [ { "head": [ "27", "28", "PERSON", "Salamander" ], "tail": [ "62", "63", "DATE", "2024" ] } ], [ { "head": [ "27", "28", "PERSON", "Salamander" ], "tail": [ "65", "69", "WORK_OF_ART", "Goblin Is Very Strong" ] } ], [ { "head": [ "27", "28", "PERSON", "Salamander" ], "tail": [ "93", "95", "DATE", "over 18" ] } ], [ { "head": [ "57", "60", "LAW", "the Copyright Law" ], "tail": [ "10", "11", "ORG", "Manga18FX.com" ] } ], [ { "head": [ "57", "60", "LAW", "the Copyright Law" ], "tail": [ "27", "28", "PERSON", "Salamander" ] } ], [ { "head": [ "62", "63", "DATE", "2024" ], "tail": [ "10", "11", "ORG", "Manga18FX.com" ] } ], [ { "head": [ "62", "63", "DATE", "2024" ], "tail": [ "27", "28", "PERSON", "Salamander" ] } ], [ { "head": [ "65", "69", "WORK_OF_ART", "Goblin Is Very Strong" ], "tail": [ "10", "11", "ORG", "Manga18FX.com" ] } ], [ { "head": [ "65", "69", "WORK_OF_ART", "Goblin Is Very Strong" ], "tail": [ "27", "28", "PERSON", "Salamander" ] } ], [ { "head": [ "93", "95", "DATE", "over 18" ], "tail": [ "10", "11", "ORG", "Manga18FX.com" ] } ], [ { "head": [ "93", "95", "DATE", "over 18" ], "tail": [ "27", "28", "PERSON", "Salamander" ] } ] ]
[ " PUBLISHED_BY", " AUTHOR_OF", " PUBLISHER", " HOST_OF", " PUBLISHER_OF", " USES_LEGISLATION", " PUBLISHER_OF\n OR\n DATE_PUBLIS", " PUBLISHER", " REQUIRES_AGE_VERIFICATION", " PUBLISHED_BY", " AUTHOR_OF", " AUTHOR_OF", " PUBLISHER", " AUTHOR_OF", " HAS_RIGHTS_UNDER", " COPYRIGHT_YEAR", " AUTHOR_OF", " PUBLISHER_AGE_RESTRICTION", " USES_LEGISLATION", " HAS_RIGHTS_OVER", " PUBLISHER_OF", " COPYRIGHT_HELD_BY", " PUBLISHER", " AUTHOR_OF", " REQUIRES_AGE_VERIFICATION_FOR_ACCESS", " PUBLISHER_OF" ]
[ [ "3", "7", "WORK_OF_ART", "Goblin Is Very Strong" ], [ "10", "11", "ORG", "Manga18FX.com" ], [ "17", "23", "WORK_OF_ART", "Goblin wa Mou Juubun ni Tsuyoi" ], [ "27", "28", "PERSON", "Salamander" ], [ "57", "60", "LAW", "the Copyright Law" ], [ "62", "63", "DATE", "2024" ], [ "65", "69", "WORK_OF_ART", "Goblin Is Very Strong" ], [ "93", "95", "DATE", "over 18" ] ]
650
652
[ "In Greek mythology Triton is the son of Poseidon, and the Nereids are the daughters of Nereus and Doris. Italian artist Carlos Esprino sculpted \"Triton and Nereida\" in 1987 as merman and mermaid lovers reaching for each other. map\nThe mermaid statue and triton sculpture were installed here on the Malecón of Puerto Vallarta in 1990. It has since been moved twice, and is now installed on a higher pedestal, in arguably the most prominent point on the Malecón. For a time, the trident in Triton's hand went missing, but it has since been restored to the sculpture.\n● The Mermaids of Earth coffee-table book: See page 144 in the book about this sculpture." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['In Greek mythology Triton is the son of Poseidon, and the Nereids are the daughters of Nereus and Doris. Italian artist Carlos Esprino sculpted "Triton and Nereida" in 1987 as merman and mermaid lovers reaching for each other. map\nThe mermaid statue and triton sculpture were installed here on the Malecón of Puerto Vallarta in 1990. It has since been moved twice, and is now installed on a higher pedestal, in arguably the most prominent point on the Malecón. For a time, the trident in Triton\'s hand went missing, but it has since been restored to the sculpture.\n● The Mermaids of Earth coffee-table book: See page 144 in the book about this sculpture.'] Entities: [{'head': ['1', '2', 'NORP', 'Greek'], 'tail': ['3', '4', 'PERSON', 'Triton']}] Relation:
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], "tail": [ "27", "28", "PERSON", "Triton" ] } ], [ { "head": [ "58", "60", "GPE", "Puerto Vallarta" ], "tail": [ "29", "30", "PERSON", "Nereida" ] } ], [ { "head": [ "58", "60", "GPE", "Puerto Vallarta" ], "tail": [ "32", "33", "DATE", "1987" ] } ], [ { "head": [ "58", "60", "GPE", "Puerto Vallarta" ], "tail": [ "56", "57", "FAC", "Malecón" ] } ], [ { "head": [ "58", "60", "GPE", "Puerto Vallarta" ], "tail": [ "61", "62", "DATE", "1990" ] } ], [ { "head": [ "58", "60", "GPE", "Puerto Vallarta" ], "tail": [ "87", "88", "FAC", "Malecón" ] } ], [ { "head": [ "58", "60", "GPE", "Puerto Vallarta" ], "tail": [ "96", "97", "PERSON", "Triton" ] } ], [ { "head": [ "58", "60", "GPE", "Puerto Vallarta" ], "tail": [ "114", "118", "WORK_OF_ART", "The Mermaids of Earth" ] } ], [ { "head": [ "58", "60", "GPE", "Puerto Vallarta" ], "tail": [ "125", "126", "CARDINAL", "144" ] } ], [ { "head": [ "61", "62", "DATE", "1990" ], "tail": [ "3", "4", "PERSON", "Triton" ] } ], [ { "head": [ "61", "62", "DATE", "1990" ], "tail": [ "8", "9", "PERSON", "Poseidon" ] } ], [ { "head": [ "61", "62", "DATE", "1990" ], "tail": [ "12", "13", "PERSON", "Nereids" ] } ], [ { "head": [ "61", "62", "DATE", "1990" ], "tail": [ "17", "18", "PERSON", "Nereus" ] } ], [ { "head": [ "61", "62", "DATE", "1990" ], "tail": [ "19", "20", "PERSON", "Doris" ] } ], [ { "head": [ "61", "62", "DATE", "1990" ], "tail": [ "23", "25", "PERSON", "Carlos Esprino" ] } ], [ { "head": [ "61", "62", "DATE", "1990" ], "tail": [ "27", "28", "PERSON", "Triton" ] } ], [ { "head": [ "61", "62", "DATE", "1990" ], "tail": [ "29", "30", "PERSON", "Nereida" ] } ], [ { "head": [ "61", "62", "DATE", "1990" ], "tail": [ "58", "60", "GPE", "Puerto Vallarta" ] } ], [ { "head": [ "61", "62", "DATE", "1990" ], "tail": [ "96", "97", "PERSON", "Triton" ] } ], [ { "head": [ "87", "88", "FAC", "Malecón" ], "tail": [ "3", "4", "PERSON", "Triton" ] } ], [ { "head": [ "87", "88", "FAC", "Malecón" ], "tail": [ "8", "9", "PERSON", "Poseidon" ] } ], [ { "head": [ "87", "88", "FAC", "Malecón" ], "tail": [ "12", "13", "PERSON", "Nereids" ] } ], [ { "head": [ "87", "88", "FAC", "Malecón" ], "tail": [ "17", "18", "PERSON", "Nereus" ] } ], [ { "head": [ "87", "88", "FAC", "Malecón" ], "tail": [ "19", "20", "PERSON", "Doris" ] } ], [ { "head": [ "87", "88", "FAC", "Malecón" ], "tail": [ "23", "25", "PERSON", "Carlos Esprino" ] } ], [ { "head": [ "87", "88", "FAC", "Malecón" ], "tail": [ "27", "28", "PERSON", "Triton" ] } ], [ { "head": [ "87", "88", "FAC", "Malecón" ], "tail": [ "29", "30", "PERSON", "Nereida" ] } ], [ { "head": [ "87", "88", "FAC", "Malecón" ], "tail": [ "58", "60", "GPE", "Puerto Vallarta" ] } ], [ { "head": [ "87", "88", "FAC", "Malecón" ], "tail": [ "96", "97", "PERSON", "Triton" ] } ], [ { "head": [ "96", "97", "PERSON", "Triton" ], "tail": [ "1", "2", "NORP", "Greek" ] } ], [ { "head": [ "96", "97", "PERSON", "Triton" ], "tail": [ "3", "4", "PERSON", "Triton" ] } ], [ { "head": [ "96", "97", "PERSON", "Triton" ], "tail": [ "8", "9", "PERSON", "Poseidon" ] } ], [ { "head": [ "96", "97", "PERSON", "Triton" ], "tail": [ "12", "13", "PERSON", "Nereids" ] } ], [ { "head": [ "96", "97", "PERSON", "Triton" ], "tail": [ "17", "18", "PERSON", "Nereus" ] } ], [ { "head": [ "96", "97", "PERSON", "Triton" ], "tail": [ "19", "20", "PERSON", "Doris" ] } ], [ { "head": [ "96", "97", "PERSON", "Triton" ], "tail": [ "21", "22", "NORP", "Italian" ] } ], [ { "head": [ "96", "97", "PERSON", "Triton" ], "tail": [ "23", "25", "PERSON", "Carlos Esprino" ] } ], [ { "head": [ "96", "97", "PERSON", "Triton" ], "tail": [ "27", "28", "PERSON", "Triton" ] } ], [ { "head": [ "96", "97", "PERSON", "Triton" ], "tail": [ "29", "30", "PERSON", "Nereida" ] } ], [ { "head": [ "96", "97", "PERSON", "Triton" ], "tail": [ "32", "33", "DATE", "1987" ] } ], [ { "head": [ "96", "97", "PERSON", "Triton" ], "tail": [ "56", "57", "FAC", "Malecón" ] } ], [ { "head": [ "96", "97", "PERSON", "Triton" ], "tail": [ "58", "60", "GPE", "Puerto Vallarta" ] } ], [ { "head": [ "96", "97", "PERSON", "Triton" ], "tail": [ "61", "62", "DATE", "1990" ] } ], [ { "head": [ "96", "97", "PERSON", "Triton" ], "tail": [ "87", "88", "FAC", "Malecón" ] } ], [ { "head": [ "96", "97", "PERSON", "Triton" ], "tail": [ "114", "118", "WORK_OF_ART", "The Mermaids of Earth" ] } ], [ { "head": [ "96", "97", "PERSON", "Triton" ], "tail": [ "125", "126", "CARDINAL", "144" ] } ], [ { "head": [ "114", "118", "WORK_OF_ART", "The Mermaids of Earth" ], "tail": [ "3", "4", "PERSON", "Triton" ] } ], [ { "head": [ "114", "118", "WORK_OF_ART", "The Mermaids of Earth" ], "tail": [ "8", "9", "PERSON", "Poseidon" ] } ], [ { "head": [ "114", "118", "WORK_OF_ART", "The Mermaids of Earth" ], "tail": [ "12", "13", "PERSON", "Nereids" ] } ], [ { "head": [ "114", "118", "WORK_OF_ART", "The Mermaids of Earth" ], "tail": [ "17", "18", "PERSON", "Nereus" ] } ], [ { "head": [ "114", "118", "WORK_OF_ART", "The Mermaids of Earth" ], "tail": [ "19", "20", "PERSON", "Doris" ] } ], [ { "head": [ "114", "118", "WORK_OF_ART", "The Mermaids of Earth" ], "tail": [ "23", "25", "PERSON", "Carlos Esprino" ] } ], [ { "head": [ "114", "118", "WORK_OF_ART", "The Mermaids of Earth" ], "tail": [ "27", "28", "PERSON", "Triton" ] } ], [ { "head": [ "114", "118", "WORK_OF_ART", "The Mermaids of Earth" ], "tail": [ "29", "30", "PERSON", "Nereida" ] } ], [ { "head": [ "114", "118", "WORK_OF_ART", "The Mermaids of Earth" ], "tail": [ "58", "60", "GPE", "Puerto Vallarta" ] } ], [ { "head": [ "114", "118", "WORK_OF_ART", "The Mermaids of Earth" ], "tail": [ "96", "97", "PERSON", "Triton" ] } ], [ { "head": [ "125", "126", "CARDINAL", "144" ], "tail": [ "3", "4", "PERSON", "Triton" ] } ], [ { "head": [ "125", "126", "CARDINAL", "144" ], "tail": [ "8", "9", "PERSON", "Poseidon" ] } ], [ { "head": [ "125", "126", "CARDINAL", "144" ], "tail": [ "12", "13", "PERSON", "Nereids" ] } ], [ { "head": [ "125", "126", "CARDINAL", "144" ], "tail": [ "17", "18", "PERSON", "Nereus" ] } ], [ { "head": [ "125", "126", "CARDINAL", "144" ], "tail": [ "19", "20", "PERSON", "Doris" ] } ], [ { "head": [ "125", "126", "CARDINAL", "144" ], "tail": [ "23", "25", "PERSON", "Carlos Esprino" ] } ], [ { "head": [ "125", "126", "CARDINAL", "144" ], "tail": [ "27", "28", "PERSON", "Triton" ] } ], [ { "head": [ "125", "126", "CARDINAL", "144" ], "tail": [ "29", "30", "PERSON", "Nereida" ] } ], [ { "head": [ "125", "126", "CARDINAL", "144" ], "tail": [ "58", "60", "GPE", "Puerto Vallarta" ] } ], [ { "head": [ "125", "126", "CARDINAL", "144" ], "tail": [ "96", "97", "PERSON", "Triton" ] } ] ]
[ " FATHER_OF", " PARENT_OF", " CHILD_OF", " NEREID_OF\n\n Explanation:\n The text states that T", " NEREIDS_DAUGHTERS_OF_NEREUS_AND_DOR", " SCULPTED_BY", " SON_OF", " NEREID_OF\n\n Explanation:\n The text states that N", " INSTALLED_AT", " SON_OF", " SON_OF", " SON_OF", " PARENT_OF", " PARENT_OF", " PARENT_OF", " SCULPTED_BY", " CREATED_BY", " SELF_REFERENCE", " LOVERS", " CREATED_BY", " LOCATED_AT", " LOCATED_IN", " INSTALLED", " LOCATED_AT", " SELF_REFERENCE", " SUBJECT_OF\n\n Explanation:\n The text mentions that there", " REFERENCE", " PARENT_OF", " PARENT_OF", " PARENT_OF", " PARENT_OF", " PARENT_OF", " CREATED_BY", " CREATED_BY", " PARENT_OF", " PARENT_OF", " PARENT_OF", " PLACED_AT", " LOCATED_IN", " INSTALLATION", " NO_RELATION. The text does not provide enough context to determine a relation between Pose", " PARENT_OF", " REFERRED_BY", " SEE_PAGE", " CHILDREN_OF", " CHILD_OF", " CHILD_OF", " CHILDREN_OF", " PARENT_OF", " CREATED_BY", " CREATED_BY", " CHILD_OF", " CHILDREN_OF", " CREATED_BY", " LOCATED_AT", " LOCATED_IN", " INSTALLED", " LOCATED_AT", " CHILD_OF", " REFERENCE_IN_TEXT", " SEE_PAGE", " FATHER_OF", " FATHER_OF", " PARENT_OF", " PARENT_OF", " PARENT_OF", " FATHER_OF\n\n Entities: \n [{'head': ['", " CREATED_BY", " FATHER_OF", " PARENT_OF", " PARENT_OF", " LOCATION_OF\n\n Entities: \n [{'head': ['", " LOCATION_OF\n\n Entities: \n [{'head': ['", " INSTALLED", " LOCATION_OF\n OR\n NO_RELATION\n\n Explan", " FATHER_OF", " REFERRED_BY", " SEE_PAGE", " NO_RELATION. The text does not provide enough context to determine a relation between Doris", " PARENT_OF", " PARENT_OF", " PARENT_OF", " PARENT_OF", " NO_RELATION. The text does not provide enough context to determine a relation between Doris", " CREATED_BY", " PARENT_OF", " PARENT_OF", " NO_RELATION. The entities do not have a relation in the provided context.", " NO_RELATION.", " LOCATION_OF\n\n Entities: \n [{'head': ['", " INSTALLATION", " NO_RELATION. The text does not provide enough context to determine a relation between Doris", " PARENT_OF", " SEE_MENTIONED_ON", " SEE_PAGE", " ITALIAN_ARTIST", " PARENT_OF", " CREATED_BY", " ITALIAN_ARTIST\n The artist is Italian.\n\n Ent", " NO_RELATION. In the text, Doris is mentioned as the mother of the N", " SCULPTED_BY", " ITALIAN_ARTIST\n This is the label for the relation between the", " CREATED_BY", " INSTALLED_AT", " ITALIAN_ARTIST", " CREATED_BY", " SCULPTED_BY", " CREATED_BY", " CREATED_BY", " CREATED_BY", " NO_RELATION. In the text, 'Doris' is mentioned as the mother", " ARTIST_NATIONALITY", " SCULPTED_BY", " SCULPTED", " CREATED_BY_DATE", " CREATED_AT_LOCATION", " CREATED_IN", " CREATED_DATE", " CREATED_AT_LOCATION", " SCULPTED_BY", " CREATED_BY", " SEE_PAGE", " SON_OF", " SELF_REFERENCE", " SON_OF", " PARENT_OF", " PARENT_OF", " PARENT_OF", " SCULPTED_BY", " CREATED_BY", " LOVERS", " CREATED_BY_YEAR", " LOCATED_AT", " LOCATED_IN", " INSTALLED", " LOCATED_AT", " SAME_PERSON", " SUBJECT_OF\n\n Explanation:\n The text mentions that there", " REFERENCE", " Nereida is a Greek Nereid.", " CHILD_OF", " CHILD_OF", " Nereida is_a Nereids.", " CHILD_OF", " NO_RELATION (The text does not provide enough context to determine a relation between Nere", " SCULPTED_BY", " CREATED_BY", " CHILD_OF", " CREATED_BY", " LOCATED_AT", " LOCATED_IN", " INSTALLED", " LOCATED_AT", " CHILD_OF", " REFERENCE_IN_TEXT", " SEE_PAGE", " CREATED_BY", " PARENT_OF", " CREATED_BY", " PARENT_OF", " NO_RELATION. In this text, there is no clear relation stated between the entities.", " CREATED_BY", " CREATED_BY", " CREATED_BY", " INSTALLED_AT", " CREATED_BY", " LOCATION_NEAR. This is the correct relation label for the given context and entities", " PARENT_OF", " LOCATION_OF\n\n Explanation:\n The text states that the", " LOCATION_OF\n\n Explanation:\n The text mentions that", " NO_RELATION. In the text, Doris is mentioned as the mother of the N", " CREATED_BY", " LOCATION_NEAR.", " LOCATED_NEAR", " LOCATION_IN.", " LOCATION_OF\n or\n NO_RELATION (if Triton", " LOCATION_OF\n Or\n NO_RELATION\n\n Explan", " LOCATION_OF\n\n Explanation:\n The text states that the", " LOCATION_OF\n ORIGIN_OF\n NO_RELATION #", " LOCATION_OF\n\n Explanation:\n The text states that the", " LOCATION_OF\n\n Explanation:\n The text states that \"", " NO_RELATION", " CREATED_BY", " CREATED_BY", " LOCATION_OF\n or\n NO_RELATION (if 'Trit", " LOCATION_OF\n\n Entities: \n [{'head': ['", " CREATED_IN_YEAR", " LOCATION_PART_OF", " INSTALLED", " LOCATION.IN.LOCATION", " LOCATION_OF\n\n Explanation:\n The text states that the", " LOCATED_AT", " PAGE_REFERENCE", " INSTALLED", " POSSESSED_BY", " INSTALLED_AT", " FATHER_OF", " NO_RELATION. In this text, there is no clear relation between Doris and the", " CREATED_BY", " INSTALLED", " INSTALLED_AT", " INSTALLED_AT", " INSTALLED", " LOCATION_INSTALLATION", " PARENT_OF", " LOCATION_OF\n\n Explanation:\n The text states that the", " FATHER_OF", " NO_RELATION. The text does not provide enough context to determine a relation between 'Mal", " CREATED_BY", " CREATED_BY", " LOVES", " LOCATED_IN", " LOCATION_OF\n or\n NO_RELATION (if 'Trit", " SON_OF", " SELF_RELATION\n\n Or, if the entities are different:\n\n", " SON_OF", " PARENT_OF", " PARENT_OF", " PARENT_OF", " ITALIAN_ARTIST", " CREATED_BY", " SAME_PERSON", " PARENT_OF", " CREATED_BY_YEAR", " LOCATED_AT", " LOCATED_IN", " INSTALLED", " LOCATED_AT", " SUBJECT_OF\n\n Explanation:\n The text mentions that there", " REFERENCE", " SUBJECT_OF_WORK", " PARENT_OF", " SUBJECT_OF. The Mermaids of Earth is about the Nereids.", " FATHER_OF\n\n Explanation:\n The text states that the", " MENTIONED_IN.", " CREATED_BY", " SUBJECT_OF_WORK", " SUBJECT_OF. This is because the text states that \"See page 144", " LOCATED_IN", " SUBJECT_OF_WORK", " MENTIONED_IN.", " PARENT_OF", " SUBJECT_OF \n\n Explanation:\n The text mentions that", " PARENT_OF", " PARENT_OF", " SCULPTED_BY", " MENTIONED_IN.", " LOVES", " INSTALLED_AT", " MENTIONED_IN." ]
[ [ "1", "2", "NORP", "Greek" ], [ "3", "4", "PERSON", "Triton" ], [ "8", "9", "PERSON", "Poseidon" ], [ "12", "13", "PERSON", "Nereids" ], [ "17", "18", "PERSON", "Nereus" ], [ "19", "20", "PERSON", "Doris" ], [ "21", "22", "NORP", "Italian" ], [ "23", "25", "PERSON", "Carlos Esprino" ], [ "27", "28", "PERSON", "Triton" ], [ "29", "30", "PERSON", "Nereida" ], [ "32", "33", "DATE", "1987" ], [ "56", "57", "FAC", "Malecón" ], [ "58", "60", "GPE", "Puerto Vallarta" ], [ "61", "62", "DATE", "1990" ], [ "87", "88", "FAC", "Malecón" ], [ "96", "97", "PERSON", "Triton" ], [ "114", "118", "WORK_OF_ART", "The Mermaids of Earth" ], [ "125", "126", "CARDINAL", "144" ] ]
651
653
[ "Kingmaker is the first book in The Witcham Chronicles, a dark fantasy series with adult language and situations. Reader discretion is advised.\nNot all kings are promised power at birth. Some will lead a long life before such leadership is handed to them.\nDiemos, an ex-soldier and drifter, thought he accepted a routine courier job to make a few gold. However, the quest was anything but “routine.” Instead, he found himself at the center of a growing darkness from beyond the grave. After reconnecting with a friend from his past, they set out to prevent that darkness from consuming the realms. Can Diemos and his band of rangers prevent the destruction of Witcham and the nearby lands?" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Kingmaker is the first book in The Witcham Chronicles, a dark fantasy series with adult language and situations. Reader discretion is advised.\nNot all kings are promised power at birth. Some will lead a long life before such leadership is handed to them.\nDiemos, an ex-soldier and drifter, thought he accepted a routine courier job to make a few gold. However, the quest was anything but “routine.” Instead, he found himself at the center of a growing darkness from beyond the grave. After reconnecting with a friend from his past, they set out to prevent that darkness from consuming the realms. Can Diemos and his band of rangers prevent the destruction of Witcham and the nearby lands?'] Entities: [{'head': ['0', '1', 'WORK_OF_ART', 'Kingmaker'], 'tail': ['50', '51', 'PERSON', 'Diemos']}] Relation:
[ [ { "head": [ "0", "1", "WORK_OF_ART", "Kingmaker" ], "tail": [ "50", "51", "PERSON", "Diemos" ] } ], [ { "head": [ "0", "1", "WORK_OF_ART", "Kingmaker" ], "tail": [ "122", "123", "PERSON", "Diemos" ] } ], [ { "head": [ "0", "1", "WORK_OF_ART", "Kingmaker" ], "tail": [ "132", "133", "GPE", "Witcham" ] } ], [ { "head": [ "3", "4", "ORDINAL", "first" ], "tail": [ "50", "51", "PERSON", "Diemos" ] } ], [ { "head": [ "3", "4", "ORDINAL", "first" ], "tail": [ "122", "123", "PERSON", "Diemos" ] } ], [ { "head": [ "3", "4", "ORDINAL", "first" ], "tail": [ "132", "133", "GPE", "Witcham" ] } ], [ { "head": [ "6", "9", "WORK_OF_ART", "The Witcham Chronicles" ], "tail": [ "50", "51", "PERSON", "Diemos" ] } ], [ { "head": [ "6", "9", "WORK_OF_ART", "The Witcham Chronicles" ], "tail": [ "122", "123", "PERSON", "Diemos" ] } ], [ { "head": [ "6", "9", "WORK_OF_ART", "The Witcham Chronicles" ], "tail": [ "132", "133", "GPE", "Witcham" ] } ], [ { "head": [ "50", "51", "PERSON", "Diemos" ], "tail": [ "0", "1", "WORK_OF_ART", "Kingmaker" ] } ], [ { "head": [ "50", "51", "PERSON", "Diemos" ], "tail": [ "3", "4", "ORDINAL", "first" ] } ], [ { "head": [ "50", "51", "PERSON", "Diemos" ], "tail": [ "6", "9", "WORK_OF_ART", "The Witcham Chronicles" ] } ], [ { "head": [ "50", "51", "PERSON", "Diemos" ], "tail": [ "122", "123", "PERSON", "Diemos" ] } ], [ { "head": [ "50", "51", "PERSON", "Diemos" ], "tail": [ "132", "133", "GPE", "Witcham" ] } ], [ { "head": [ "122", "123", "PERSON", "Diemos" ], "tail": [ "0", "1", "WORK_OF_ART", "Kingmaker" ] } ], [ { "head": [ "122", "123", "PERSON", "Diemos" ], "tail": [ "3", "4", "ORDINAL", "first" ] } ], [ { "head": [ "122", "123", "PERSON", "Diemos" ], "tail": [ "6", "9", "WORK_OF_ART", "The Witcham Chronicles" ] } ], [ { "head": [ "122", "123", "PERSON", "Diemos" ], "tail": [ "50", "51", "PERSON", "Diemos" ] } ], [ { "head": [ "122", "123", "PERSON", "Diemos" ], "tail": [ "132", "133", "GPE", "Witcham" ] } ], [ { "head": [ "132", "133", "GPE", "Witcham" ], "tail": [ "0", "1", "WORK_OF_ART", "Kingmaker" ] } ], [ { "head": [ "132", "133", "GPE", "Witcham" ], "tail": [ "3", "4", "ORDINAL", "first" ] } ], [ { "head": [ "132", "133", "GPE", "Witcham" ], "tail": [ "6", "9", "WORK_OF_ART", "The Witcham Chronicles" ] } ], [ { "head": [ "132", "133", "GPE", "Witcham" ], "tail": [ "50", "51", "PERSON", "Diemos" ] } ], [ { "head": [ "132", "133", "GPE", "Witcham" ], "tail": [ "122", "123", "PERSON", "Diemos" ] } ] ]
[ " SUBJECT_OF. This is because 'Kingmaker' is the head entity (the subject", " SUBJECT_OF.", " LOCATION_OF.", " BOOK_IS_FIRST_IN_SERIES", " BOOK_IS_FIRST_IN_SERIES", " SETTING.LOCATION.CITY.NAME.PROPER\n or\n LO", " SUBJECT_OF.", " BOOK_OF_WORK_BY", " SETTING.\n\n Explanation:\n The text mentions \"The W", " SUBJECT_OF. This is the relation between the person Diemos and the work of", " BOOK_FIRST_IN_SERIES", " SERIES_PART_OF", " SAME_PERSON", " PREVENTS_DESTRUCTION_OF", " SUBJECT_OF. This is the relation between the person Diemos and the work of", " BOOK_FIRST_IN_SERIES", " SERIES_PART_OF", " SAME_PERSON", " PREVENTS_DESTRUCTION_OF", " SETTING_OF\n\n Explanation:\n The text mentions that '", " FIRST_IN_SERIES", " SUBJECT_OF", " PREVENTS_DESTRUCTION_OF", " PREVENTS_DESTRUCTION_OF" ]
[ [ "0", "1", "WORK_OF_ART", "Kingmaker" ], [ "3", "4", "ORDINAL", "first" ], [ "6", "9", "WORK_OF_ART", "The Witcham Chronicles" ], [ "50", "51", "PERSON", "Diemos" ], [ "122", "123", "PERSON", "Diemos" ], [ "132", "133", "GPE", "Witcham" ] ]
652
654
[ "Artisan pencil tray featuring exclusive raised artwork by Juliana Tipton with semi-transparent cream glaze and exposed stoneware base. Packaged in a kraft gift box.\nAs part of our Prairie lookbook, this design was inspired by William Morris and the decorative Arts & Crafts movement using warm and detailed illustrations, appealing sentimentally to those who love the quiet world of nature.\n• 9.125\" w x 3\" d\n• Artist collaboration with Juliana Tipton\n• Decorative use only\n• Not food safe\n• Stoneware base\n• Comes in a kraft gift box" ]
[ [ "Artisan", "pencil", "tray", "featuring", "exclusive", "raised", "artwork", "by", "Juliana", "Tipton", "with", "semi", "-", "transparent", "cream", "glaze", "and", "exposed", "stoneware", "base", ".", "Packaged", "in", "a", "kraft", "gift", "box", ".", "\n", "As", "part", "of", "our", "Prairie", "lookbook", ",", "this", "design", "was", "inspired", "by", "William", "Morris", "and", "the", "decorative", "Arts", "&", "Crafts", "movement", "using", "warm", "and", "detailed", "illustrations", ",", "appealing", "sentimentally", "to", "those", "who", "love", "the", "quiet", "world", "of", "nature", ".", "\n", "•", "9.125", "\"", "w", "x", "3", "\"", "d", "\n", "•", "Artist", "collaboration", "with", "Juliana", "Tipton", "\n", "•", "Decorative", "use", "only", "\n", "•", "Not", "food", "safe", "\n", "•", "Stoneware", "base", "\n", "•", "Comes", "in", "a", "kraft", "gift", "box" ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Artisan pencil tray featuring exclusive raised artwork by Juliana Tipton with semi-transparent cream glaze and exposed stoneware base. Packaged in a kraft gift box.\nAs part of our Prairie lookbook, this design was inspired by William Morris and the decorative Arts & Crafts movement using warm and detailed illustrations, appealing sentimentally to those who love the quiet world of nature.\n• 9.125" w x 3" d\n• Artist collaboration with Juliana Tipton\n• Decorative use only\n• Not food safe\n• Stoneware base\n• Comes in a kraft gift box'] Entities: [{'head': ['8', '10', 'PERSON', 'Juliana Tipton'], 'tail': ['24', '25', 'ORG', 'kraft']}] Relation:
[ [ { "head": [ "8", "10", "PERSON", "Juliana Tipton" ], "tail": [ "24", "25", "ORG", "kraft" ] } ], [ { "head": [ "8", "10", "PERSON", "Juliana Tipton" ], "tail": [ "33", "34", "LOC", "Prairie" ] } ], [ { "head": [ "8", "10", "PERSON", "Juliana Tipton" ], "tail": [ "41", "43", "PERSON", "William Morris" ] } ], [ { "head": [ "8", "10", "PERSON", "Juliana Tipton" ], "tail": [ "46", "49", "ORG", "Arts & Crafts" ] } ], [ { "head": [ "8", "10", "PERSON", "Juliana Tipton" ], "tail": [ "70", "72", "QUANTITY", "9.125\"" ] } ], [ { "head": [ "8", "10", "PERSON", "Juliana Tipton" ], "tail": [ "74", "76", "QUANTITY", "3\"" ] } ], [ { "head": [ "8", "10", "PERSON", "Juliana Tipton" ], "tail": [ "82", "84", "PERSON", "Juliana Tipton" ] } ], [ { "head": [ "8", "10", "PERSON", "Juliana Tipton" ], "tail": [ "103", "104", "ORG", "kraft" ] } ], [ { "head": [ "24", "25", "ORG", "kraft" ], "tail": [ "8", "10", "PERSON", "Juliana Tipton" ] } ], [ { "head": [ "24", "25", "ORG", "kraft" ], "tail": [ "33", "34", "LOC", "Prairie" ] } ], [ { "head": [ "24", "25", "ORG", "kraft" ], "tail": [ "41", "43", "PERSON", "William Morris" ] } ], [ { "head": [ "24", "25", "ORG", "kraft" ], "tail": [ "46", "49", "ORG", "Arts & Crafts" ] } ], [ { "head": [ "24", "25", "ORG", "kraft" ], "tail": [ "70", "72", "QUANTITY", "9.125\"" ] } ], [ { "head": [ "24", "25", "ORG", "kraft" ], "tail": [ "74", "76", "QUANTITY", "3\"" ] } ], [ { "head": [ "24", "25", "ORG", "kraft" ], "tail": [ "82", "84", "PERSON", "Juliana Tipton" ] } ], [ { "head": [ "24", "25", "ORG", "kraft" ], "tail": [ "103", "104", "ORG", "kraft" ] } ], [ { "head": [ "33", "34", "LOC", "Prairie" ], "tail": [ "8", "10", "PERSON", "Juliana Tipton" ] } ], [ { "head": [ "33", "34", "LOC", "Prairie" ], "tail": [ "24", "25", "ORG", "kraft" ] } ], [ { "head": [ "33", "34", "LOC", "Prairie" ], "tail": [ "41", "43", "PERSON", "William Morris" ] } ], [ { "head": [ "33", "34", "LOC", "Prairie" ], "tail": [ "46", "49", "ORG", "Arts & Crafts" ] } ], [ { "head": [ "33", "34", "LOC", "Prairie" ], "tail": [ "70", "72", "QUANTITY", "9.125\"" ] } ], [ { "head": [ "33", "34", "LOC", "Prairie" ], "tail": [ "74", "76", "QUANTITY", "3\"" ] } ], [ { "head": [ "33", "34", "LOC", "Prairie" ], "tail": [ "82", "84", "PERSON", "Juliana Tipton" ] } ], [ { "head": [ "33", "34", "LOC", "Prairie" ], "tail": [ "103", "104", "ORG", "kraft" ] } ], [ { "head": [ "41", "43", "PERSON", "William Morris" ], "tail": [ "8", "10", "PERSON", "Juliana Tipton" ] } ], [ { "head": [ "41", "43", "PERSON", "William Morris" ], "tail": [ "24", "25", "ORG", "kraft" ] } ], [ { "head": [ "41", "43", "PERSON", "William Morris" ], "tail": [ "33", "34", "LOC", "Prairie" ] } ], [ { "head": [ "41", "43", "PERSON", "William Morris" ], "tail": [ "46", "49", "ORG", "Arts & Crafts" ] } ], [ { "head": [ "41", "43", "PERSON", "William Morris" ], "tail": [ "70", "72", "QUANTITY", "9.125\"" ] } ], [ { "head": [ "41", "43", "PERSON", "William Morris" ], "tail": [ "74", "76", "QUANTITY", "3\"" ] } ], [ { "head": [ "41", "43", "PERSON", "William Morris" ], "tail": [ "82", "84", "PERSON", "Juliana Tipton" ] } ], [ { "head": [ "41", "43", "PERSON", "William Morris" ], "tail": [ "103", "104", "ORG", "kraft" ] } ], [ { "head": [ "46", "49", "ORG", "Arts & Crafts" ], "tail": [ "8", "10", "PERSON", "Juliana Tipton" ] } ], [ { "head": [ "46", "49", "ORG", "Arts & Crafts" ], "tail": [ "24", "25", "ORG", "kraft" ] } ], [ { "head": [ "46", "49", "ORG", "Arts & Crafts" ], "tail": [ "33", "34", "LOC", "Prairie" ] } ], [ { "head": [ "46", "49", "ORG", "Arts & Crafts" ], "tail": [ "41", "43", "PERSON", "William Morris" ] } ], [ { "head": [ "46", "49", "ORG", "Arts & Crafts" ], "tail": [ "70", "72", "QUANTITY", "9.125\"" ] } ], [ { "head": [ "46", "49", "ORG", "Arts & Crafts" ], "tail": [ "74", "76", "QUANTITY", "3\"" ] } ], [ { "head": [ "46", "49", "ORG", "Arts & Crafts" ], "tail": [ "82", "84", "PERSON", "Juliana Tipton" ] } ], [ { "head": [ "46", "49", "ORG", "Arts & Crafts" ], "tail": [ "103", "104", "ORG", "kraft" ] } ], [ { "head": [ "70", "72", "QUANTITY", "9.125\"" ], "tail": [ "8", "10", "PERSON", "Juliana Tipton" ] } ], [ { "head": [ "70", "72", "QUANTITY", "9.125\"" ], "tail": [ "24", "25", "ORG", "kraft" ] } ], [ { "head": [ "70", "72", "QUANTITY", "9.125\"" ], "tail": [ "33", "34", "LOC", "Prairie" ] } ], [ { "head": [ "70", "72", "QUANTITY", "9.125\"" ], "tail": [ "41", "43", "PERSON", "William Morris" ] } ], [ { "head": [ "70", "72", "QUANTITY", "9.125\"" ], "tail": [ "46", "49", "ORG", "Arts & Crafts" ] } ], [ { "head": [ "70", "72", "QUANTITY", "9.125\"" ], "tail": [ "82", "84", "PERSON", "Juliana Tipton" ] } ], [ { "head": [ "70", "72", "QUANTITY", "9.125\"" ], "tail": [ "103", "104", "ORG", "kraft" ] } ], [ { "head": [ "74", "76", "QUANTITY", "3\"" ], "tail": [ "8", "10", "PERSON", "Juliana Tipton" ] } ], [ { "head": [ "74", "76", "QUANTITY", "3\"" ], "tail": [ "24", "25", "ORG", "kraft" ] } ], [ { "head": [ "74", "76", "QUANTITY", "3\"" ], "tail": [ "33", "34", "LOC", "Prairie" ] } ], [ { "head": [ "74", "76", "QUANTITY", "3\"" ], "tail": [ "41", "43", "PERSON", "William Morris" ] } ], [ { "head": [ "74", "76", "QUANTITY", "3\"" ], "tail": [ "46", "49", "ORG", "Arts & Crafts" ] } ], [ { "head": [ "74", "76", "QUANTITY", "3\"" ], "tail": [ "82", "84", "PERSON", "Juliana Tipton" ] } ], [ { "head": [ "74", "76", "QUANTITY", "3\"" ], "tail": [ "103", "104", "ORG", "kraft" ] } ], [ { "head": [ "82", "84", "PERSON", "Juliana Tipton" ], "tail": [ "8", "10", "PERSON", "Juliana Tipton" ] } ], [ { "head": [ "82", "84", "PERSON", "Juliana Tipton" ], "tail": [ "24", "25", "ORG", "kraft" ] } ], [ { "head": [ "82", "84", "PERSON", "Juliana Tipton" ], "tail": [ "33", "34", "LOC", "Prairie" ] } ], [ { "head": [ "82", "84", "PERSON", "Juliana Tipton" ], "tail": [ "41", "43", "PERSON", "William Morris" ] } ], [ { "head": [ "82", "84", "PERSON", "Juliana Tipton" ], "tail": [ "46", "49", "ORG", "Arts & Crafts" ] } ], [ { "head": [ "82", "84", "PERSON", "Juliana Tipton" ], "tail": [ "70", "72", "QUANTITY", "9.125\"" ] } ], [ { "head": [ "82", "84", "PERSON", "Juliana Tipton" ], "tail": [ "74", "76", "QUANTITY", "3\"" ] } ], [ { "head": [ "82", "84", "PERSON", "Juliana Tipton" ], "tail": [ "103", "104", "ORG", "kraft" ] } ], [ { "head": [ "103", "104", "ORG", "kraft" ], "tail": [ "8", "10", "PERSON", "Juliana Tipton" ] } ], [ { "head": [ "103", "104", "ORG", "kraft" ], "tail": [ "24", "25", "ORG", "kraft" ] } ], [ { "head": [ "103", "104", "ORG", "kraft" ], "tail": [ "33", "34", "LOC", "Prairie" ] } ], [ { "head": [ "103", "104", "ORG", "kraft" ], "tail": [ "41", "43", "PERSON", "William Morris" ] } ], [ { "head": [ "103", "104", "ORG", "kraft" ], "tail": [ "46", "49", "ORG", "Arts & Crafts" ] } ], [ { "head": [ "103", "104", "ORG", "kraft" ], "tail": [ "70", "72", "QUANTITY", "9.125\"" ] } ], [ { "head": [ "103", "104", "ORG", "kraft" ], "tail": [ "74", "76", "QUANTITY", "3\"" ] } ], [ { "head": [ "103", "104", "ORG", "kraft" ], "tail": [ "82", "84", "PERSON", "Juliana Tipton" ] } ] ]
[ " COLLABORATION", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " CREATED_WITH_DIMENSIONS", " SIZE_OF\n\n Explanation:\n The text describes a pencil", " COLLABORATOR", " COLLABORATION", " COLLABORATOR", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " PACKAGED_WITH_DIMENSIONS", " PACKAGED_WITH\n\n Explanation:\n The text states that", " COLLABORATOR", " BOX_TYPE\n\n Explanation:\n The entities represent two instances of", " INSPIRED_BY", " INCLUDES\n\n Explanation:\n The text states that the p", " INSPIRED_BY", " INSPIRED_BY", " SIZE_OF\n\n Explanation:\n The text describes the size of", " SIZE_OF\n\n Explanation:\n The text describes the size of", " INSPIRED_BY", " PACKAGED_IN.", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " PACKAGED_WITH", " SIZE_OF\n\n Explanation:\n The text states that the Art", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " PACKAGED_WITH", " COLLABORATOR", " PACKAGED_WITH", " SIZE_OF\n\n Explanation:\n The text states that the art", " INSPIRED_BY", " INSPIRED_BY", " COLLABORATOR", " COMES_IN. 'COMES_IN' is the relation label for the", " ARTIST_COLLABORATION", " ARTIST_COLLABORATION", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " CREATED_WITH_DIMENSIONS", " SIZE_OF\n\n Explanation:\n The text mentions that the", " ARTIST_COLLABORATION", " ARTIST_COLLABORATION", " BOX_PRODUCER", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " PACKAGED_WITH_DIMENSIONS", " PACKAGED_WITH_DIMENSIONS", " COLLABORATION" ]
[ [ "8", "10", "PERSON", "Juliana Tipton" ], [ "24", "25", "ORG", "kraft" ], [ "33", "34", "LOC", "Prairie" ], [ "41", "43", "PERSON", "William Morris" ], [ "46", "49", "ORG", "Arts & Crafts" ], [ "70", "72", "QUANTITY", "9.125\"" ], [ "74", "76", "QUANTITY", "3\"" ], [ "82", "84", "PERSON", "Juliana Tipton" ], [ "103", "104", "ORG", "kraft" ] ]
653
655
[ "James is in charge of rolling out nToklo commercially and give nToklo the attention it deserves in the market. His focus is online Retail, Academic content and Gaming. James brings business 8 years+ experience in building solutions for Retail, Online Content and Mobile Internet. He worked with blue chip customers such as Sky, BT, Carphone Warehouse, T-Mobile and 3. James is a very active member of the Tech Community within London and has an extensive network with global reach spanning from the Silicon Valley to Australia. You are most likely to find him attending key conferences like Leweb, SXSW and MWC." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['James is in charge of rolling out nToklo commercially and give nToklo the attention it deserves in the market. His focus is online Retail, Academic content and Gaming. James brings business 8 years+ experience in building solutions for Retail, Online Content and Mobile Internet. He worked with blue chip customers such as Sky, BT, Carphone Warehouse, T-Mobile and 3. James is a very active member of the Tech Community within London and has an extensive network with global reach spanning from the Silicon Valley to Australia. You are most likely to find him attending key conferences like Leweb, SXSW and MWC.'] Entities: [{'head': ['0', '1', 'PERSON', 'James'], 'tail': ['7', '8', 'ORG', 'nToklo']}] Relation:
[ [ { "head": [ "0", "1", "PERSON", "James" ], "tail": [ "7", "8", "ORG", "nToklo" ] } ], [ { "head": [ "0", "1", "PERSON", "James" ], "tail": [ "11", "12", "ORG", "nToklo" ] } ], [ { "head": [ "0", "1", "PERSON", "James" ], "tail": [ "31", "32", "PERSON", "James" ] } ], [ { "head": [ "0", "1", "PERSON", "James" ], "tail": [ "34", "37", "DATE", "8 years+ experience" ] } ], [ { "head": [ "0", "1", "PERSON", "James" ], "tail": [ "41", "42", "ORG", "Retail" ] } ], [ { "head": [ "0", "1", "PERSON", "James" ], "tail": [ "43", "45", "ORG", "Online Content" ] } ], [ { "head": [ "0", "1", "PERSON", "James" ], "tail": [ "46", "48", "ORG", "Mobile Internet" ] } ], [ { "head": [ "0", "1", "PERSON", "James" ], "tail": [ "57", "58", "ORG", "Sky" ] } ], [ { "head": [ "0", "1", "PERSON", "James" ], "tail": [ "59", "60", "ORG", "BT" ] } ], [ { "head": [ "0", "1", "PERSON", "James" ], "tail": [ "61", "63", "ORG", "Carphone Warehouse" ] } ], [ { "head": [ "0", "1", "PERSON", "James" ], "tail": [ "64", 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], [ { "head": [ "96", "97", "GPE", "Australia" ], "tail": [ "77", "80", "ORG", "the Tech Community" ] } ], [ { "head": [ "96", "97", "GPE", "Australia" ], "tail": [ "81", "82", "GPE", "London" ] } ], [ { "head": [ "96", "97", "GPE", "Australia" ], "tail": [ "92", "95", "LOC", "the Silicon Valley" ] } ], [ { "head": [ "96", "97", "GPE", "Australia" ], "tail": [ "109", "110", "ORG", "Leweb" ] } ], [ { "head": [ "96", "97", "GPE", "Australia" ], "tail": [ "111", "112", "EVENT", "SXSW" ] } ], [ { "head": [ "96", "97", "GPE", "Australia" ], "tail": [ "113", "114", "EVENT", "MWC" ] } ], [ { "head": [ "109", "110", "ORG", "Leweb" ], "tail": [ "0", "1", "PERSON", "James" ] } ], [ { "head": [ "109", "110", "ORG", "Leweb" ], "tail": [ "7", "8", "ORG", "nToklo" ] } ], [ { "head": [ "109", "110", "ORG", "Leweb" ], "tail": [ "11", "12", "ORG", "nToklo" ] } ], [ { "head": [ "109", "110", "ORG", "Leweb" ], "tail": [ "31", "32", "PERSON", "James" ] } ], [ { "head": [ "109", "110", "ORG", "Leweb" ], "tail": [ "34", "37", "DATE", "8 years+ experience" ] } ], [ { "head": [ "109", "110", "ORG", "Leweb" ], "tail": [ "41", "42", "ORG", "Retail" ] } ], [ { "head": [ "109", "110", "ORG", "Leweb" ], "tail": [ "43", "45", "ORG", "Online Content" ] } ], [ { "head": [ "109", "110", "ORG", "Leweb" ], "tail": [ "46", "48", "ORG", "Mobile Internet" ] } ], [ { "head": [ "109", "110", "ORG", "Leweb" ], "tail": [ "57", "58", "ORG", "Sky" ] } ], [ { "head": [ "109", "110", "ORG", "Leweb" ], "tail": [ "59", "60", "ORG", "BT" ] } ], [ { "head": [ "109", "110", "ORG", "Leweb" ], "tail": [ "61", "63", "ORG", "Carphone Warehouse" ] } ], [ { "head": [ "109", "110", "ORG", "Leweb" ], "tail": [ "64", "67", "ORG", "T-Mobile" ] } ], [ { "head": [ "109", "110", "ORG", "Leweb" ], "tail": [ "68", "69", "ORG", "3" ] } ], [ { "head": [ "109", "110", "ORG", "Leweb" ], "tail": [ "70", "71", "PERSON", "James" ] } ], [ { "head": [ "109", "110", "ORG", "Leweb" ], "tail": [ "77", "80", "ORG", "the Tech Community" ] } ], [ { "head": [ "109", "110", "ORG", "Leweb" ], "tail": [ "81", "82", "GPE", "London" ] } ], [ { "head": [ "109", "110", "ORG", "Leweb" ], "tail": [ "92", "95", "LOC", "the Silicon Valley" ] } ], [ { "head": [ "109", "110", "ORG", "Leweb" ], "tail": [ "96", "97", "GPE", "Australia" ] } ], [ { "head": [ "109", "110", "ORG", "Leweb" ], "tail": [ "111", "112", "EVENT", "SXSW" ] } ], [ { "head": [ "109", "110", "ORG", "Leweb" ], "tail": [ "113", "114", "EVENT", "MWC" ] } ], [ { "head": [ "111", "112", "EVENT", "SXSW" ], "tail": [ "0", "1", "PERSON", "James" ] } ], [ { "head": [ "111", "112", "EVENT", "SXSW" ], "tail": [ "7", "8", "ORG", "nToklo" ] } ], [ { "head": [ "111", "112", "EVENT", "SXSW" ], "tail": [ "11", "12", "ORG", "nToklo" ] } ], [ { "head": [ "111", "112", "EVENT", "SXSW" ], "tail": [ "31", "32", "PERSON", "James" ] } ], [ { "head": [ "111", "112", "EVENT", "SXSW" ], "tail": [ "41", "42", "ORG", "Retail" ] } ], [ { "head": [ "111", "112", "EVENT", "SXSW" ], "tail": [ "43", "45", "ORG", "Online Content" ] } ], [ { "head": [ "111", "112", "EVENT", "SXSW" ], "tail": [ "46", "48", "ORG", "Mobile Internet" ] } ], [ { "head": [ "111", "112", "EVENT", "SXSW" ], "tail": [ "57", "58", "ORG", "Sky" ] } ], [ { "head": [ "111", "112", "EVENT", "SXSW" ], "tail": [ "59", "60", "ORG", "BT" ] } ], [ { "head": [ "111", "112", "EVENT", "SXSW" ], "tail": [ "61", "63", "ORG", "Carphone Warehouse" ] } ], [ { "head": [ "111", "112", "EVENT", "SXSW" ], "tail": [ "64", "67", "ORG", "T-Mobile" ] } ], [ { "head": [ "111", "112", "EVENT", "SXSW" ], "tail": [ "68", "69", "ORG", "3" ] } ], [ { "head": [ "111", "112", "EVENT", "SXSW" ], "tail": [ "70", "71", "PERSON", "James" ] } ], [ { "head": [ "111", "112", "EVENT", "SXSW" ], "tail": [ "77", "80", "ORG", "the Tech Community" ] } ], [ { "head": [ "111", "112", "EVENT", "SXSW" ], "tail": [ "81", "82", "GPE", "London" ] } ], [ { "head": [ "111", "112", "EVENT", "SXSW" ], "tail": [ "92", "95", "LOC", "the Silicon Valley" ] } ], [ { "head": [ "111", "112", "EVENT", "SXSW" ], "tail": [ "96", "97", "GPE", "Australia" ] } ], [ { "head": [ "111", "112", "EVENT", "SXSW" ], "tail": [ "109", "110", "ORG", "Leweb" ] } ], [ { "head": [ "113", "114", "EVENT", "MWC" ], "tail": [ "0", "1", "PERSON", "James" ] } ], [ { "head": [ "113", "114", "EVENT", "MWC" ], "tail": [ "7", "8", "ORG", "nToklo" ] } ], [ { "head": [ "113", "114", "EVENT", "MWC" ], "tail": [ "11", "12", "ORG", "nToklo" ] } ], [ { "head": [ "113", "114", "EVENT", "MWC" ], "tail": [ "31", "32", "PERSON", "James" ] } ], [ { "head": [ "113", "114", "EVENT", "MWC" ], "tail": [ "41", "42", "ORG", "Retail" ] } ], [ { "head": [ "113", "114", "EVENT", "MWC" ], "tail": [ "43", "45", "ORG", "Online Content" ] } ], [ { "head": [ "113", "114", "EVENT", "MWC" ], "tail": [ "46", "48", "ORG", "Mobile Internet" ] } ], [ { "head": [ "113", "114", "EVENT", "MWC" ], "tail": [ "57", "58", "ORG", "Sky" ] } ], [ { "head": [ "113", "114", "EVENT", "MWC" ], "tail": [ "59", "60", "ORG", "BT" ] } ], [ { "head": [ "113", "114", "EVENT", "MWC" ], "tail": [ "61", "63", "ORG", "Carphone Warehouse" ] } ], [ { "head": [ "113", "114", "EVENT", "MWC" ], "tail": [ "64", "67", "ORG", "T-Mobile" ] } ], [ { "head": [ "113", "114", "EVENT", "MWC" ], "tail": [ "68", "69", "ORG", "3" ] } ], [ { "head": [ "113", "114", "EVENT", "MWC" ], "tail": [ "70", "71", "PERSON", "James" ] } ], [ { "head": [ "113", "114", "EVENT", "MWC" ], "tail": [ "77", "80", "ORG", "the Tech Community" ] } ], [ { "head": [ "113", "114", "EVENT", "MWC" ], "tail": [ "81", "82", "GPE", "London" ] } ], [ { "head": [ "113", "114", "EVENT", "MWC" ], "tail": [ "92", "95", "LOC", "the Silicon Valley" ] } ], [ { "head": [ "113", "114", "EVENT", "MWC" ], "tail": [ "96", "97", "GPE", "Australia" ] } ], [ { "head": [ "113", "114", "EVENT", "MWC" ], "tail": [ "109", "110", "ORG", "Leweb" ] } ] ]
[ " IN_CHARGE_OF", " IN_CHARGE_OF", " NO_RELATION", " HAS_EXPERIENCE", " HAS_EXPERIENCE_IN", " BRINGS_SOLUTIONS_FOR", " HAS_EXPERIENCE_WITH", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " SELF_REFERENCE", " MEMBER_OF", " ACTIVE_MEMBER_OF (PERSON, GPE)", " HAS_CONNECTIONS_WITH", " NO_RELATION.", " ATTENDS", " ATTENDS", " ATTENDS", " IN_CHARGE_OF", " IN_CHARGE_OF", " HEAD_OF", " HAS_EXPERIENCE", " 'COMMERCIALIZES' or 'IS_RESPONSIBLE_FOR", " FOCUSED_ON", " INDUSTRY_FOCUS", " WORKED_WITH", " WORKED_WITH", " WORKED_WITH", " WORKED_WITH", " WORKED_FOR", " IN_CHARGE_OF", " MEMBER_OF", " HAS_ACTIVE_MEMBERSHIP", " HAS_CONNECTIONS_WITH", " HAS_CONNECTIONS_WITH", " ATTENDS", " ATTENDED_EVENT", " ATTENDS", " IN_CHARGE_OF", " IN_CHARGE_OF", " IN_CHARGE_OF", " HAS_EXPERIENCE", " 'COMMERCIALIZATION_OF'", " FOCUSED_ON", " HAS_FOCUS_ON", " worked_with", " worked_with", " WORKED_WITH", " worked_with", " WORKED_FOR", " IN_CHARGE_OF", " MEMBER_OF", " HAS_ACTIVE_MEMBERSHIP", " HAS_CONNECTION", " EXTENSIVE_CONTACTS_WITH.", " ATTENDS", " ATTENDED_EVENT", " ATTENDS", " SELF_REFERENCE", " IN_CHARGE_OF", " IN_CHARGE_OF", " HAS_EXPERIENCE", " HAS_INDUSTRY_EXPERIENCE", " HAS_FOCUS_ON", " HAS_EXPERIENCE_WITH", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " SAME_PERSON", " MEMBER_OF", " HAS_EXTENSIVE_NETWORK_WITH", " HAS_CONNECTIONS_WITH", " HAS_CONNECTION", " ATTENDS", " ATTENDS", " ATTENDS", " HAS_EXPERIENCE", " HAS_EXPERIENCE", " HAS_WORK_EXPERIENCE", " HAS_EXPERIENCE", " HAS_WORK_EXPERIENCE_WITH", " HAS_EXPERIENCE_IN", " HAS_EXPERIENCE_WITH", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " HAS_WORK_EXPERIENCE", " HAS_MEMBERSHIP", " HAS_EXPERIENCE_IN", " HAS_WORKED_IN\n\n Explanation:\n The text states", " HAS_EXTENSIVE_NETWORK_WITH", " ATTENDED", " HAS_INDUSTRY\n\n Explanation:\n The text states", " IN_CHARGE_OF", " IN_CHARGE_OF", " HAS_INDUSTRY\n\n Explanation:\n The text states", " HAS_EXPERIENCE", " RETAIL_PROVIDES_ONLINE_CONTENT", " HAS_EXPERIENCE_IN.", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " HAS_INDUSTRY\n\n Explanation:\n The text states", " MEMBER_OF", " HAS_FOCUS_ON\n\n Explanation:\n The text", " HAS_CONNECTIONS_WITH", " HAS_BUSINESS_CONNECTIONS_WITH", " ATTENDS", " ATTENDS", " ATTENDS\n\n Explanation:\n The text states that \"You", " HEAD_OF\n\n Explanation:\n The text states that \"J", " IN_CHARGE_OF", " 'HEAD_IS_IN_CHARGE_OF'", " HEAD_OF\n\n Explanation:\n The text states that \"J", " HAS_EXPERIENCE", " ONLINE_CONTENT_PROVIDES_SOLUTIONS_FOR_RE", " INVOLVED_IN\n\n Explanation:\n The text states that \"", " WORKED_WITH", " WORKED_WITH", " WORKED_FOR", " WORKED_WITH", " WORKED_FOR", " HEAD_OF\n\n Explanation:\n The text states that \"J", " MEMBER_OF", " HAS_COMMUNITY_IN.", " HAS_CONNECTION", " HAS_EXTENSIVE_NETWORK_WITH", " ATTENDS", " ATTENDS", " ATTENDS", " HAS_EXPERIENCE_WITH", " BUILDS_SOLUTIONS_FOR", " BUILDS_SOLUTIONS_FOR", " HAS_EXPERIENCE_WITH", " HAS_EXPERIENCE_WITH", " HAS_INDUSTRY\n\n Explanation:\n The text states", " INVOLVED_IN\n\n Explanation:\n The text states that James", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " HAS_EXPERIENCE_WITH", " MEMBER_OF", " HAS_ACTIVE_COMMUNITY_IN.", " HAS_EXTENSIVE_CONNECTIONS_WITH", " HAS_EXTENSIVE_NETWORK_WITH_LOCATION", " ATTENDS", " ATTENDS", " ATTENDS", " WORKED_FOR", " WORKED_FOR", " CLIENT_OF", " WORKED_FOR", " HAS_EXPERIENCE_WITH", " 'WORKED_FOR'", " 'CLIENT' or 'PARTNER' or 'WORKED_WITH' or 'PROVID", " WORKED_FOR", " WORKED_WITH", " WORKED_WITH", " WORKED_WITH", " WORKED_WITH", " WORKED_FOR", " MEMBER_OF", " MEMBER_OF\n\n Explanation:\n The text states that James is", " HAS_CONNECTIONS_WITH", " NO_RELATION.", " ATTENDED", " ATTENDED_EVENT", " ATTENDED_EVENT", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " HAS_EXPERIENCE.", " worked_with", " WORKED_FOR", " WORKED_FOR", " WORKED_WITH", " WORKED_WITH", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " MEMBER_OF", " MEMBER_OF\n\n Explanation:\n The text states that \"J", " HAS_CONNECTIONS_WITH", " HAS_EXTENSIVE_NETWORK_WITH", " ATTENDED", " ATTENDED_EVENT", " ATTENDED", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " HAS_EXPERIENCE_WITH", " 'HEAD_WORKED_FOR'", " CLIENT_OF", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " MEMBER_OF", " HAS_MEMBER_IN_COMMUNITY", " HAS_CONNECTION", " NO_RELATION.\n\n Explanation:\n The text does not provide", " ATTENDED", " ATTENDED_EVENT", " WORKED_WITH. This is because James has experience working with Carphone Warehouse", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " HAS_EXPERIENCE_WITH", " CLIENT\n\n Explanation:\n The text states that James worked with", " CLIENT_OF", " WORKED_FOR", " WORKED_WITH", " WORKED_WITH", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " MEMBER_OF", " HAS_EMPLOYED_FROM\n\n Explanation:\n The", " HAS_CONNECTION", " HAS_BUSINESS_RELATION\n\n Explanation:\n The", " ATTENDED", " ATTENDED_EVENT", " WORKED_WITH", " IN_CHARGE_OF", " IN_CHARGE_OF", " IN_CHARGE_OF", " WORKS_FOR", " HAS_EXPERIENCE", " HAS_INDUSTRY\n\n Explanation:\n The text states", " INDUSTRY_FOCUS", " HAS_EXPERIENCE_WITH", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " IN_CHARGE_OF", " MEMBER_OF", " HAS_ACTIVE_MEMBERSHIP", " HAS_CONNECTIONS_WITH", " HAS_EXTENSIVE_NETWORK_WITH", " ATTENDS", " ATTENDED", " ATTENDS", " SELF_REFERENCE", " IN_CHARGE_OF", " IN_CHARGE_OF", " SAME_PERSON", " HAS_EXPERIENCE", " 'HEAD_OF'", " IN_CHARGE_OF", " HAS_EXPERIENCE_WITH", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " MEMBER_OF", " ACTIVE_MEMBER_OF_COMMUNITY", " HAS_CONNECTIONS_WITH", " HAS_CONNECTIONS_WITH", " ATTENDS", " ATTENDS", " ATTENDS", " MEMBER_OF", " HEAD_OF\n or\n HAS_COMMUNITY\n or\n", " MEMBER_OF", " MEMBER_OF", " HAS_EXPERIENCE_WITH\n\n Or, if the entities were revers", " COMMUNITY_MEMBER_OF\n\n Explanation:\n The", " COMMUNITY_MEMBER", " COMMUNITY_MEMBER_OF\n\n Explanation:\n The", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF\n\n Explanation:\n The text states that \"You", " HAS_MEMBER_WITH_EXTENSIVE_NETWORK_IN", " MEMBER_OF\n\n Explanation:\n The text states that \"You", " MEMBER_OF\n\n Explanation:\n The text states that \"You", " MEMBER_OF\n\n Explanation:\n The text states that \"You", " LIVES_IN", " LOCATED_IN", " LOCATED_IN", " LIVES_IN", " HAS_EXPERIENCE.", " 'LOCATION_OF'", " HAS_FOCUS", " HAS_FOCUS_ON", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " HAS_WORKED_FOR", " LIVES_IN", " MEMBER_OF", " HAS_EXTENSIVE_NETWORK_WITH_LOCATIONS\n\n ", " EXTENSIVE_NETWORK", " ATTENDS", " ATTENDS", " ATTENDS", " LOCATION_OF\n\n Explanation:\n The text states that \"", " HAS_HEADQUARTERS_IN.", " HAS_HEADQUARTERS_IN.", " HAS_EXTENSIVE_NETWORK_WITH_LOCATION", " HAS_EXPERIENCE_WITH_LOCATION", " REACHABLE_FROM", " ORIGIN_FROM", " REACHABLE_FROM", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " EXTENSIVE_NETWORK", " LOCATION_OF\n\n Explanation:\n The text states that \"", " LOCATION_OF\n\n Explanation:\n The text states that James", " HAS_EXTENSIVE_NETWORK_WITH_LOCATIONS\n\n ", " EXTENSIVE_NETWORK_WITH_LOCATIONS", " ATTENDS", " ATTENDS", " ATTENDS", " NO_RELATION.", " FOUNDER_IN_COUNTRY", " FOUNDER_IN_COUNTRY", " HAS_EXTENSIVE_NETWORK_WITH", " HAS_EXPERIENCE_WITH\n\n Entities: \n [", " FOUND_IN\n or\n LOCATED_IN\n or\n ", " FOUND_IN\n\n Explanation:\n The text mentions that James", " HAS_FOCUS_ON\n\n Explanation:\n The text", " NO_RELATION.\n\n Explanation:\n The text does not provide", " NO_RELATION.", " HAS_WORKED_FOR", " WORKED_FOR", " HAS_CONNECTION", " NO_RELATION.", " MEMBER_OF", " HAS_EXTENSIVE_NETWORK_WITH_LOCATIONS\n\n ", " HAS_EXTENSIVE_NETWORK_WITH_LOCATIONS\n\n ", " MOST_LIKELY_TO_ATTEND", " 'HEAD_IS_LOCATED_IN' # or 'HEAD_ATTENDS'", " CAN_ATTEND\n\n Explanation:\n The text states that \"You", " ATTENDED", " ATTENDED_CONFERENCE", " ATTENDS", " ATTENDED", " HAS_EXPERIENCE_FOR\n\n Or\n\n Entities:", " ATTENDED", " KEY_EVENT_OF\n\n Explanation:\n In the text, it", " ATTENDS\n\n Explanation:\n The text states that \"You", " ATTENDED_CONFERENCE", " ATTENDED_CONFERENCE", " ATTENDED_BY", " ATTENDED_CONFERENCE", " ATTENDED_CONFERENCE", " ATTENDED", " MEMBER_OF", " ATTENDS_CONFERENCE", " ATTENDS_CONFERENCE_IN. (Note: The label ATTEND", " ATTENDS_CONFERENCE_IN.", " ATTENDED_EVENT", " ATTENDS", " ATTENDED", " ATTENDED_BY", " ATTENDED_BY", " ATTENDED", " ATTENDED_EVENT", " ATTENDED_EVENT", " ATTENDED_BY", " ATTENDED_EVENT", " ATTENDED_BY", " ATTENDED_BY", " ATTENDED_BY", " ATTENDED_EVENT", " ATTENDED", " MEMBER_OF", " ATTENDS\n\n Explanation:\n The text states that \"You", " ATTENDS_LOCATION", " ATTENDS_EVENT_IN_LOCATION", " ATTENDED_EVENT", " ATTENDED", " ATTENDS\n\n Explanation:\n The text states that \"You", " ATTENDS", " ATTENDED", " ATTENDS\n\n Explanation:\n The text states that \"You", " ATTENDED_BY", " ATTENDED_BY", " ATTENDED_BY", " WORKED_FOR", " WORKED_FOR", " ATTENDED_BY", " ATTENDED_BY", " ATTENDED", " MEMBER_OF", " You are most likely to find him attending (EVENT:MWC) in (GPE:", " ATTENDS_FROM\n\n Explanation:\n In the text,", " ATTENDS_CONFERENCE_IN_LOCATION", " You_are_most_likely_to_find_him_attending.\n\n" ]
[ [ "0", "1", "PERSON", "James" ], [ "7", "8", "ORG", "nToklo" ], [ "11", "12", "ORG", "nToklo" ], [ "31", "32", "PERSON", "James" ], [ "34", "37", "DATE", "8 years+ experience" ], [ "41", "42", "ORG", "Retail" ], [ "43", "45", "ORG", "Online Content" ], [ "46", "48", "ORG", "Mobile Internet" ], [ "57", "58", "ORG", "Sky" ], [ "59", "60", "ORG", "BT" ], [ "61", "63", "ORG", "Carphone Warehouse" ], [ "64", "67", "ORG", "T-Mobile" ], [ "68", "69", "ORG", "3" ], [ "70", "71", "PERSON", "James" ], [ "77", "80", "ORG", "the Tech Community" ], [ "81", "82", "GPE", "London" ], [ "92", "95", "LOC", "the Silicon Valley" ], [ "96", "97", "GPE", "Australia" ], [ "109", "110", "ORG", "Leweb" ], [ "111", "112", "EVENT", "SXSW" ], [ "113", "114", "EVENT", "MWC" ] ]
654
656
[ "Testimonial- Manta Marine Design\n\"The Orca CFD software and assistance from the Orca3D team has immensely helped us being able to meet specific requirements of a challenging design brief from our client. We will definitely use Orca3D Marine CFD again and we highly recommend it to other designers! “\"\n-Pepijn van Schaik" ]
[ [ "Testimonial-", "Manta", "Marine", "Design", "\n", "\"", "The", "Orca", "CFD", "software", "and", "assistance", "from", "the", "Orca3D", "team", "has", "immensely", "helped", "us", "being", "able", "to", "meet", "specific", "requirements", "of", "a", "challenging", "design", "brief", "from", "our", "client", ".", "We", "will", "definitely", "use", "Orca3D", "Marine", "CFD", "again", "and", "we", "highly", "recommend", "it", "to", "other", "designers", "!", "“", "\"", "\n", "-Pepijn", "van", "Schaik" ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Testimonial- Manta Marine Design\n"The Orca CFD software and assistance from the Orca3D team has immensely helped us being able to meet specific requirements of a challenging design brief from our client. We will definitely use Orca3D Marine CFD again and we highly recommend it to other designers! “"\n-Pepijn van Schaik'] Entities: [{'head': ['1', '4', 'ORG', 'Manta Marine Design'], 'tail': ['7', '9', 'PRODUCT', 'Orca CFD']}] Relation:
[ [ { "head": [ "1", "4", "ORG", "Manta Marine Design" ], "tail": [ "7", "9", "PRODUCT", "Orca CFD" ] } ], [ { "head": [ "1", "4", "ORG", "Manta Marine Design" ], "tail": [ "14", "15", "PRODUCT", "Orca3D" ] } ], [ { "head": [ "1", "4", "ORG", "Manta Marine Design" ], "tail": [ "39", "42", "PRODUCT", "Orca3D Marine CFD" ] } ], [ { "head": [ "1", "4", "ORG", "Manta Marine Design" ], "tail": [ "55", "58", "PERSON", "-Pepijn van Schaik" ] } ], [ { "head": [ "7", "9", "PRODUCT", "Orca CFD" ], "tail": [ "1", "4", "ORG", "Manta Marine Design" ] } ], [ { "head": [ "7", "9", "PRODUCT", "Orca CFD" ], "tail": [ "55", "58", "PERSON", "-Pepijn van Schaik" ] } ], [ { "head": [ "14", "15", "PRODUCT", "Orca3D" ], "tail": [ "1", "4", "ORG", "Manta Marine Design" ] } ], [ { "head": [ "14", "15", "PRODUCT", "Orca3D" ], "tail": [ "55", "58", "PERSON", "-Pepijn van Schaik" ] } ], [ { "head": [ "39", "42", "PRODUCT", "Orca3D Marine CFD" ], "tail": [ "1", "4", "ORG", "Manta Marine Design" ] } ], [ { "head": [ "39", "42", "PRODUCT", "Orca3D Marine CFD" ], "tail": [ "55", "58", "PERSON", "-Pepijn van Schaik" ] } ], [ { "head": [ "55", "58", "PERSON", "-Pepijn van Schaik" ], "tail": [ "1", "4", "ORG", "Manta Marine Design" ] } ], [ { "head": [ "55", "58", "PERSON", "-Pepijn van Schaik" ], "tail": [ "7", "9", "PRODUCT", "Orca CFD" ] } ], [ { "head": [ "55", "58", "PERSON", "-Pepijn van Schaik" ], "tail": [ "14", "15", "PRODUCT", "Orca3D" ] } ], [ { "head": [ "55", "58", "PERSON", "-Pepijn van Schaik" ], "tail": [ "39", "42", "PRODUCT", "Orca3D Marine CFD" ] } ] ]
[ " USES", " USES", " USES", " WRITTEN_BY", " USED_BY", " USED_BY", " USED_BY", " USED_PRODUCT_BY", " HELPED_BY", " RECOMMENDS", " DESIGNED_BY", " USED_PRODUCT_BY.", " USED_PRODUCT_FOR_DESIGN_PROJECT", " USED_PRODUCT_FOR_DESIGN_PROJECT" ]
[ [ "1", "4", "ORG", "Manta Marine Design" ], [ "7", "9", "PRODUCT", "Orca CFD" ], [ "14", "15", "PRODUCT", "Orca3D" ], [ "39", "42", "PRODUCT", "Orca3D Marine CFD" ], [ "55", "58", "PERSON", "-Pepijn van Schaik" ] ]
655
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[ "By Pam Winters\nJanuary 27, 2016 at 12:27 pm\nI’m in! I’ll do my best to write and actually mail a few letters in April and beyond!! Thanks for such a gentle reminder of how special sending and receiving handwritten cards and letters makes us all feel." ]
[ [ "By", "Pam", "Winters", "\n", "January", "27", ",", "2016", "at", "12:27", "pm", "\n", "I", "’m", "in", "!", "I", "’ll", "do", "my", "best", "to", "write", "and", "actually", "mail", "a", "few", "letters", "in", "April", "and", "beyond", "!", "!", "Thanks", "for", "such", "a", "gentle", "reminder", "of", "how", "special", "sending", "and", "receiving", "handwritten", "cards", "and", "letters", "makes", "us", "all", "feel", "." ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['By Pam Winters\nJanuary 27, 2016 at 12:27 pm\nI’m in! I’ll do my best to write and actually mail a few letters in April and beyond!! Thanks for such a gentle reminder of how special sending and receiving handwritten cards and letters makes us all feel.'] Entities: [{'head': ['1', '3', 'PERSON', 'Pam Winters'], 'tail': ['4', '8', 'DATE', 'January 27, 2016']}] Relation:
[ [ { "head": [ "1", "3", "PERSON", "Pam Winters" ], "tail": [ "4", "8", "DATE", "January 27, 2016" ] } ], [ { "head": [ "1", "3", "PERSON", "Pam Winters" ], "tail": [ "9", "11", "TIME", "12:27 pm" ] } ], [ { "head": [ "1", "3", "PERSON", "Pam Winters" ], "tail": [ "30", "31", "DATE", "April" ] } ], [ { "head": [ "4", "8", "DATE", "January 27, 2016" ], "tail": [ "1", "3", "PERSON", "Pam Winters" ] } ], [ { "head": [ "9", "11", "TIME", "12:27 pm" ], "tail": [ "1", "3", "PERSON", "Pam Winters" ] } ], [ { "head": [ "30", "31", "DATE", "April" ], "tail": [ "1", "3", "PERSON", "Pam Winters" ] } ] ]
[ " WRITTEN_ON\n\n Explanation:\n The text indicates that", " WRITTEN_AT", " WILL_WRITE_LETTER_TO\n\n Explanation:\n Pam", " WRITTEN_BY", " WRITTEN_BY", " WILL_WRITE_LETTER_TO" ]
[ [ "1", "3", "PERSON", "Pam Winters" ], [ "4", "8", "DATE", "January 27, 2016" ], [ "9", "11", "TIME", "12:27 pm" ], [ "30", "31", "DATE", "April" ] ]
656
658
[ "Skip to content\nmatt hart bowen therapy\na website design case study\nWhat’s it like to work with findability?\nWatch our case study in website design.\nReputation is the ultimate currency.\nHow you make your money is more important than how much you make.\nUtilisation, recovery, cleanliness.\nAll progress depends on the number of uncomfortable conversations you're willing to have.\nIn business today, you're a media company first, and a __________ business second.\nWork in facts, not opinions.\nIf it's not in writing, it doesn't exist.\nProgress is non-linear.\nSelf care, self respect, pay yourself first.\nbusiness listing management\nScroll to Top" ]
[ [ "Skip", "to", "content", "\n", "matt", "hart", "bowen", "therapy", "\n", "a", "website", "design", "case", "study", "\n", "What", "’s", "it", "like", "to", "work", "with", "findability", "?", "\n", "Watch", "our", "case", "study", "in", "website", "design", ".", "\n", "Reputation", "is", "the", "ultimate", "currency", ".", "\n", "How", "you", "make", "your", "money", "is", "more", "important", "than", "how", "much", "you", "make", ".", "\n", "Utilisation", ",", "recovery", ",", "cleanliness", ".", "\n", "All", "progress", "depends", "on", "the", "number", "of", "uncomfortable", "conversations", "you", "'re", "willing", "to", "have", ".", "\n", "In", "business", "today", ",", "you", "'re", "a", "media", "company", "first", ",", "and", "a", "_", "_", "_", "_", "_", "_", "_", "_", "_", "_", "business", "second", ".", "\n", "Work", "in", "facts", ",", "not", "opinions", ".", "\n", "If", "it", "'s", "not", "in", "writing", ",", "it", "does", "n't", "exist", ".", "\n", "Progress", "is", "non", "-", "linear", ".", "\n", "Self", "care", ",", "self", "respect", ",", "pay", "yourself", "first", ".", "\n", "business", "listing", "management", "\n", "Scroll", "to", "Top" ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ["Skip to content\nmatt hart bowen therapy\na website design case study\nWhat’s it like to work with findability?\nWatch our case study in website design.\nReputation is the ultimate currency.\nHow you make your money is more important than how much you make.\nUtilisation, recovery, cleanliness.\nAll progress depends on the number of uncomfortable conversations you're willing to have.\nIn business today, you're a media company first, and a __________ business second.\nWork in facts, not opinions.\nIf it's not in writing, it doesn't exist.\nProgress is non-linear.\nSelf care, self respect, pay yourself first.\nbusiness listing management\nScroll to Top"] Entities: [{'head': ['4', '6', 'PERSON', 'matt hart'], 'tail': ['81', '82', 'DATE', 'today']}] Relation:
[ [ { "head": [ "4", "6", "PERSON", "matt hart" ], "tail": [ "81", "82", "DATE", "today" ] } ], [ { "head": [ "4", "6", "PERSON", "matt hart" ], "tail": [ "88", "89", "ORDINAL", "first" ] } ], [ { "head": [ "4", "6", "PERSON", "matt hart" ], "tail": [ "103", "104", "ORDINAL", "second" ] } ], [ { "head": [ "4", "6", "PERSON", "matt hart" ], "tail": [ "142", "143", "ORDINAL", "first" ] } ], [ { "head": [ "81", "82", "DATE", "today" ], "tail": [ "4", "6", "PERSON", "matt hart" ] } ], [ { "head": [ "88", "89", "ORDINAL", "first" ], "tail": [ "4", "6", "PERSON", "matt hart" ] } ], [ { "head": [ "103", "104", "ORDINAL", "second" ], "tail": [ "4", "6", "PERSON", "matt hart" ] } ], [ { "head": [ "142", "143", "ORDINAL", "first" ], "tail": [ "4", "6", "PERSON", "matt hart" ] } ] ]
[ " WORKS_ON\n\n Explanation:\n The text mentions \"", " IN_BUSINESS_TYPE\n\n Explanation:\n In the text", " BUSINESS_TYPE\n\n Explanation:\n In the context,", " BUSINESS_TYPE\n\n Explanation:\n In the context,", " BUSINESS_OWNER_OF\n or\n FOUNDER_", " MEDIA_COMPANY.\n\n Explanation:\n The text states", " BUSINESS_TYPE\n\n Explanation:\n In the text,", " MEDIA_COMPANY" ]
[ [ "4", "6", "PERSON", "matt hart" ], [ "81", "82", "DATE", "today" ], [ "88", "89", "ORDINAL", "first" ], [ "103", "104", "ORDINAL", "second" ], [ "142", "143", "ORDINAL", "first" ] ]
657
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[ "Aleksandr Lukashenko visits House of Charity in Minsk\nOn Christmas Day, 7 January, President of Belarus Aleksandr Lukashenko visited the House of Charity in Minsk and met with Metropolitan of Minsk and Slutsk Filaret, Patriarchal Exarch of All Belarus.\nThe President visited the Orthodox Church and lit up a Christmas candle.\nAleksandr Lukashenko and Metropolitan Filaret exchanged gifts. The President donated a unique copy of the Gospels. The book is made in old liturgical traditions and is designed to be used during services. The text of the book is in Old Church Slavonic. This present will be kept in Metropolitan Filaret's private library.\nAleksandr Lukashenko and Metropolitan Filaret talked about the spiritual revival of the society, the interaction of the state and the Belarusian Orthodox Church, the development of the Christian civilization in the modern world." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ["Aleksandr Lukashenko visits House of Charity in Minsk\nOn Christmas Day, 7 January, President of Belarus Aleksandr Lukashenko visited the House of Charity in Minsk and met with Metropolitan of Minsk and Slutsk Filaret, Patriarchal Exarch of All Belarus.\nThe President visited the Orthodox Church and lit up a Christmas candle.\nAleksandr Lukashenko and Metropolitan Filaret exchanged gifts. The President donated a unique copy of the Gospels. The book is made in old liturgical traditions and is designed to be used during services. The text of the book is in Old Church Slavonic. This present will be kept in Metropolitan Filaret's private library.\nAleksandr Lukashenko and Metropolitan Filaret talked about the spiritual revival of the society, the interaction of the state and the Belarusian Orthodox Church, the development of the Christian civilization in the modern world."] Entities: [{'head': ['0', '2', 'PERSON', 'Aleksandr Lukashenko'], 'tail': ['3', '6', 'ORG', 'House of Charity']}] Relation:
[ [ { "head": [ "0", "2", "PERSON", "Aleksandr Lukashenko" ], "tail": [ "3", "6", "ORG", "House of Charity" ] } ], [ { "head": [ "0", "2", "PERSON", "Aleksandr Lukashenko" ], "tail": [ "7", "8", "GPE", "Minsk" ] } ], [ { "head": [ "0", "2", "PERSON", "Aleksandr Lukashenko" ], "tail": [ "10", "15", "DATE", "Christmas Day, 7 January" ] } ], [ { "head": [ "0", "2", "PERSON", "Aleksandr Lukashenko" ], "tail": [ "18", "19", "GPE", "Belarus" ] } ], [ { "head": [ "0", "2", "PERSON", "Aleksandr Lukashenko" ], "tail": [ "19", "21", "PERSON", "Aleksandr Lukashenko" ] } ], [ { "head": [ "0", "2", "PERSON", "Aleksandr Lukashenko" ], "tail": [ "22", "26", "FAC", "the House of Charity" ] } ], [ { "head": [ "0", "2", "PERSON", "Aleksandr Lukashenko" ], "tail": [ "27", "28", "GPE", "Minsk" ] } ], [ { "head": [ "0", "2", "PERSON", "Aleksandr Lukashenko" ], "tail": [ "33", "34", "GPE", "Minsk" ] } ], [ { "head": [ "0", "2", "PERSON", "Aleksandr Lukashenko" ], "tail": [ "35", "37", "PERSON", "Slutsk Filaret" ] } ], [ { "head": [ "0", "2", "PERSON", "Aleksandr Lukashenko" ], "tail": [ "42", "43", "GPE", "Belarus" ] } ], [ { "head": [ "0", "2", "PERSON", "Aleksandr Lukashenko" ], "tail": [ "48", "51", "ORG", "the Orthodox Church" ] } ], [ { "head": [ "0", "2", "PERSON", "Aleksandr Lukashenko" ], "tail": [ "55", "56", "DATE", "Christmas" ] } ], [ { "head": [ "0", "2", "PERSON", "Aleksandr Lukashenko" ], "tail": [ "59", "61", "PERSON", "Aleksandr Lukashenko" ] } ], [ { "head": [ "0", "2", "PERSON", "Aleksandr Lukashenko" ], "tail": [ "63", "64", "PERSON", "Filaret" ] } ], [ { "head": [ "0", "2", "PERSON", "Aleksandr Lukashenko" ], "tail": [ "75", "76", "WORK_OF_ART", "Gospels" ] } ], [ { "head": [ "0", "2", "PERSON", "Aleksandr Lukashenko" ], "tail": [ "103", "104", "LANGUAGE", "Slavonic" ] } ], [ { "head": [ "0", "2", "PERSON", "Aleksandr Lukashenko" ], "tail": [ "112", "113", "PERSON", "Filaret" ] } ], [ { "head": [ "0", "2", "PERSON", "Aleksandr Lukashenko" ], "tail": [ "118", "120", "PERSON", "Aleksandr Lukashenko" ] } ], [ { "head": [ "0", "2", "PERSON", "Aleksandr Lukashenko" ], "tail": [ "122", "123", "PERSON", "Filaret" ] } ], [ { "head": [ "0", "2", "PERSON", "Aleksandr Lukashenko" ], "tail": [ "138", "142", "ORG", "the Belarusian Orthodox Church" ] } ], [ { "head": [ "0", "2", "PERSON", "Aleksandr Lukashenko" ], "tail": [ "147", "148", "NORP", "Christian" ] } ], [ { "head": [ "3", "6", "ORG", "House of Charity" ], "tail": [ "0", "2", "PERSON", "Aleksandr Lukashenko" ] } ], [ { "head": [ "3", "6", "ORG", "House of Charity" ], "tail": [ "7", "8", "GPE", "Minsk" ] } ], [ { "head": [ "3", "6", "ORG", "House of Charity" ], "tail": [ "10", "15", "DATE", "Christmas Day, 7 January" ] } ], [ { "head": [ "3", "6", "ORG", "House of Charity" ], "tail": [ "18", "19", "GPE", "Belarus" ] } ], [ { "head": [ "3", "6", "ORG", "House of Charity" ], "tail": [ "19", "21", "PERSON", "Aleksandr Lukashenko" ] } ], [ { "head": [ "3", "6", "ORG", "House of Charity" ], "tail": [ "22", "26", "FAC", "the House of Charity" ] } ], [ { "head": [ "3", "6", "ORG", "House of Charity" ], "tail": [ "27", "28", "GPE", "Minsk" ] } ], [ { "head": [ "3", "6", "ORG", "House of Charity" ], "tail": [ "33", "34", "GPE", "Minsk" ] } ], [ { "head": [ "3", "6", "ORG", "House of Charity" ], "tail": [ "35", "37", "PERSON", "Slutsk Filaret" ] } ], [ { "head": [ "3", "6", "ORG", "House of Charity" ], "tail": [ "42", "43", "GPE", "Belarus" ] } ], [ { "head": [ "3", "6", "ORG", "House of Charity" ], "tail": [ "48", "51", "ORG", "the Orthodox Church" ] } ], [ { "head": [ "3", "6", "ORG", "House of Charity" ], "tail": [ "55", "56", "DATE", "Christmas" ] } ], [ { "head": [ "3", "6", "ORG", "House of Charity" ], "tail": [ "59", "61", "PERSON", "Aleksandr Lukashenko" ] } ], [ { "head": [ "3", "6", "ORG", "House of Charity" ], "tail": [ "63", "64", "PERSON", "Filaret" ] } ], [ { "head": [ "3", "6", "ORG", "House of Charity" ], "tail": [ "75", "76", "WORK_OF_ART", "Gospels" ] } ], [ { "head": [ "3", "6", "ORG", "House of Charity" ], "tail": [ "103", "104", "LANGUAGE", "Slavonic" ] } ], [ { "head": [ "3", "6", "ORG", "House of Charity" ], "tail": [ "112", "113", "PERSON", "Filaret" ] } ], [ { "head": [ "3", "6", "ORG", "House of Charity" ], "tail": [ "118", "120", "PERSON", "Aleksandr Lukashenko" ] } ], [ { "head": [ "3", "6", "ORG", "House of Charity" ], "tail": [ "122", "123", "PERSON", "Filaret" ] } ], [ { "head": [ "3", "6", "ORG", "House of Charity" ], "tail": [ "138", "142", "ORG", "the Belarusian Orthodox Church" ] } ], [ { "head": [ "3", "6", "ORG", "House of Charity" ], "tail": [ "147", "148", "NORP", "Christian" ] } ], [ { "head": [ "7", "8", "GPE", "Minsk" ], "tail": [ "0", "2", "PERSON", "Aleksandr Lukashenko" ] } ], [ { "head": [ "7", "8", "GPE", "Minsk" ], "tail": [ "3", "6", "ORG", "House of Charity" ] } ], [ { "head": [ "7", "8", "GPE", "Minsk" ], "tail": [ "10", "15", "DATE", "Christmas Day, 7 January" ] } ], [ { "head": [ "7", "8", "GPE", "Minsk" ], "tail": [ "18", "19", "GPE", "Belarus" ] } ], [ { "head": [ "7", "8", "GPE", "Minsk" ], "tail": [ "19", "21", "PERSON", "Aleksandr Lukashenko" ] } ], [ { "head": [ "7", "8", "GPE", "Minsk" ], "tail": [ "22", "26", "FAC", "the House of Charity" ] } ], [ { "head": [ "7", "8", "GPE", "Minsk" ], "tail": [ "27", "28", "GPE", "Minsk" ] } ], [ { "head": [ "7", "8", "GPE", "Minsk" ], "tail": [ "33", "34", "GPE", "Minsk" ] } ], [ { "head": [ "7", "8", "GPE", "Minsk" ], "tail": [ "35", "37", "PERSON", "Slutsk Filaret" ] } ], [ { "head": [ "7", "8", "GPE", "Minsk" ], "tail": [ "42", "43", "GPE", "Belarus" ] } ], [ { "head": [ "7", "8", "GPE", "Minsk" ], "tail": [ "48", "51", "ORG", "the Orthodox Church" ] } ], [ { "head": [ "7", "8", "GPE", "Minsk" ], "tail": [ "55", "56", "DATE", "Christmas" ] } ], [ { "head": [ "7", "8", "GPE", "Minsk" ], "tail": [ "59", "61", "PERSON", "Aleksandr Lukashenko" ] } ], [ { "head": [ "7", "8", "GPE", "Minsk" ], "tail": [ "63", "64", "PERSON", "Filaret" ] } ], [ { 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"PERSON", "Filaret" ], "tail": [ "27", "28", "GPE", "Minsk" ] } ], [ { "head": [ "122", "123", "PERSON", "Filaret" ], "tail": [ "33", "34", "GPE", "Minsk" ] } ], [ { "head": [ "122", "123", "PERSON", "Filaret" ], "tail": [ "35", "37", "PERSON", "Slutsk Filaret" ] } ], [ { "head": [ "122", "123", "PERSON", "Filaret" ], "tail": [ "42", "43", "GPE", "Belarus" ] } ], [ { "head": [ "122", "123", "PERSON", "Filaret" ], "tail": [ "48", "51", "ORG", "the Orthodox Church" ] } ], [ { "head": [ "122", "123", "PERSON", "Filaret" ], "tail": [ "55", "56", "DATE", "Christmas" ] } ], [ { "head": [ "122", "123", "PERSON", "Filaret" ], "tail": [ "59", "61", "PERSON", "Aleksandr Lukashenko" ] } ], [ { "head": [ "122", "123", "PERSON", "Filaret" ], "tail": [ "63", "64", "PERSON", "Filaret" ] } ], [ { "head": [ "122", "123", "PERSON", "Filaret" ], "tail": [ "75", "76", "WORK_OF_ART", "Gospels" ] } ], [ { "head": [ "122", "123", "PERSON", "Filaret" ], "tail": [ "103", "104", "LANGUAGE", "Slavonic" ] } ], [ { "head": [ "122", "123", "PERSON", "Filaret" ], "tail": [ "112", "113", "PERSON", "Filaret" ] } ], [ { "head": [ "122", "123", "PERSON", "Filaret" ], "tail": [ "118", "120", "PERSON", "Aleksandr Lukashenko" ] } ], [ { "head": [ "122", "123", "PERSON", "Filaret" ], "tail": [ "138", "142", "ORG", "the Belarusian Orthodox Church" ] } ], [ { "head": [ "122", "123", "PERSON", "Filaret" ], "tail": [ "147", "148", "NORP", "Christian" ] } ], [ { "head": [ "138", "142", "ORG", "the Belarusian Orthodox Church" ], "tail": [ "0", "2", "PERSON", "Aleksandr Lukashenko" ] } ], [ { "head": [ "138", "142", "ORG", "the Belarusian Orthodox Church" ], "tail": [ "3", "6", "ORG", "House of Charity" ] } ], [ { "head": [ "138", "142", "ORG", "the Belarusian Orthodox Church" ], "tail": [ "7", "8", "GPE", "Minsk" ] } ], [ { "head": [ "138", "142", "ORG", "the Belarusian Orthodox Church" ], "tail": [ "10", "15", "DATE", "Christmas Day, 7 January" ] } ], [ { "head": [ "138", "142", "ORG", "the Belarusian Orthodox Church" ], "tail": [ "18", "19", "GPE", "Belarus" ] } ], [ { "head": [ "138", "142", "ORG", "the Belarusian Orthodox Church" ], "tail": [ "19", "21", "PERSON", "Aleksandr Lukashenko" ] } ], [ { "head": [ "138", "142", "ORG", "the Belarusian Orthodox Church" ], "tail": [ "22", "26", "FAC", "the House of Charity" ] } ], [ { "head": [ "138", "142", "ORG", "the Belarusian Orthodox Church" ], "tail": [ "27", "28", "GPE", "Minsk" ] } ], [ { "head": [ "138", "142", "ORG", "the Belarusian Orthodox Church" ], "tail": [ "33", "34", "GPE", "Minsk" ] } ], [ { "head": [ "138", "142", "ORG", "the Belarusian Orthodox Church" ], "tail": [ "35", "37", "PERSON", "Slutsk Filaret" ] } ], [ { "head": [ "138", "142", "ORG", "the Belarusian Orthodox Church" ], "tail": [ "42", "43", "GPE", "Belarus" ] } ], [ { "head": [ "138", "142", "ORG", "the Belarusian Orthodox Church" ], "tail": [ "48", "51", "ORG", "the Orthodox Church" ] } ], [ { "head": [ "138", "142", "ORG", "the Belarusian Orthodox Church" ], "tail": [ "55", "56", "DATE", "Christmas" ] } ], [ { "head": [ "138", "142", "ORG", "the Belarusian Orthodox Church" ], "tail": [ "59", "61", "PERSON", "Aleksandr Lukashenko" ] } ], [ { "head": [ "138", "142", "ORG", "the Belarusian Orthodox Church" ], "tail": [ "63", "64", "PERSON", "Filaret" ] } ], [ { "head": [ "138", "142", "ORG", "the Belarusian Orthodox Church" ], "tail": [ "75", "76", "WORK_OF_ART", "Gospels" ] } ], [ { "head": [ "138", "142", "ORG", "the Belarusian Orthodox Church" ], "tail": [ "103", "104", "LANGUAGE", "Slavonic" ] } ], [ { "head": [ "138", "142", "ORG", "the Belarusian Orthodox Church" ], "tail": [ "112", "113", "PERSON", "Filaret" ] } ], [ { "head": [ "138", "142", "ORG", "the Belarusian Orthodox Church" ], "tail": [ "118", "120", "PERSON", "Aleksandr Lukashenko" ] } ], [ { "head": [ "138", "142", "ORG", "the Belarusian Orthodox Church" ], "tail": [ "122", "123", "PERSON", "Filaret" ] } ], [ { "head": [ "138", "142", "ORG", "the Belarusian Orthodox Church" ], "tail": [ "147", "148", "NORP", "Christian" ] } ], [ { "head": [ "147", "148", "NORP", "Christian" ], "tail": [ "0", "2", "PERSON", "Aleksandr Lukashenko" ] } ], [ { "head": [ "147", "148", "NORP", "Christian" ], "tail": [ "3", "6", "ORG", "House of Charity" ] } ], [ { "head": [ "147", "148", "NORP", "Christian" ], "tail": [ "7", "8", "GPE", "Minsk" ] } ], [ { "head": [ "147", "148", "NORP", "Christian" ], "tail": [ "18", "19", "GPE", "Belarus" ] } ], [ { "head": [ "147", "148", "NORP", "Christian" ], "tail": [ "19", "21", "PERSON", "Aleksandr Lukashenko" ] } ], [ { "head": [ "147", "148", "NORP", "Christian" ], "tail": [ "27", "28", "GPE", "Minsk" ] } ], [ { "head": [ "147", "148", "NORP", "Christian" ], "tail": [ "33", "34", "GPE", "Minsk" ] } ], [ { "head": [ "147", "148", "NORP", "Christian" ], "tail": [ "35", "37", "PERSON", "Slutsk Filaret" ] } ], [ { "head": [ "147", "148", "NORP", "Christian" ], "tail": [ "42", "43", "GPE", "Belarus" ] } ], [ { "head": [ "147", "148", "NORP", "Christian" ], "tail": [ "48", "51", "ORG", "the Orthodox Church" ] } ], [ { "head": [ "147", "148", "NORP", "Christian" ], "tail": [ "59", "61", "PERSON", "Aleksandr Lukashenko" ] } ], [ { "head": [ "147", "148", "NORP", "Christian" ], "tail": [ "63", "64", "PERSON", "Filaret" ] } ], [ { "head": [ "147", "148", "NORP", "Christian" ], "tail": [ "112", "113", "PERSON", "Filaret" ] } ], [ { "head": [ "147", "148", "NORP", "Christian" ], "tail": [ "118", "120", "PERSON", "Aleksandr Lukashenko" ] } ], [ { "head": [ "147", "148", "NORP", "Christian" ], "tail": [ "122", "123", "PERSON", "Filaret" ] } ], [ { "head": [ "147", "148", "NORP", "Christian" ], "tail": [ "138", "142", "ORG", "the Belarusian Orthodox Church" ] } ] ]
[ " VISITED", " VISITED_PLACE", " VISITED_ON", " PRESIDES_OVER", " SELF_REFERENCE", " VISITED", " VISITED_IN.", " VISITED", " VISITED_BY", " PRESIDES_OVER", " VISITED", " VISITED_ON\n\n Entities: \n [{'head':", " NO_RELATION", " MEETING", " DONATED", " NO_RELATION.", " MEETING", " NO_RELATION (Since the entities are the same)", " MEETING", " INTERACTS_WITH", " INITIATED_SPIRITUAL_MOVEMENT", " VISITED", " LOCATION.IN.LOCATION", " VISITED_ON", " LOCATION_IN.", " VISITED", " VISITED_ORGANIZATION", " LOCATION.IN.LOCATION", " LOCATION.IN.LOCATION", " MEETING", " LOCATION_IN.", " VISITED_AT\n\n Explanation:\n The text states that", " VISITED_ON", " VISITED", " VISITED", " DONATED", " GIFT_FROM\n\n Explanation:\n The text states that \"The", " MEETING", " VISITED", " VISITED", " VISITED_BY\n\n Explanation:\n The text states that", " ASSOCIATED_WITH", " VISITED", " VISITED", " VISITED_ON", " LOCATION_IN.\n Or, if you prefer:\n IN_LOC", " VISITED", " VISITED", " LOCATION_LOCATION", " LOCATION_LOCATION", " VISITED_BY", " LOCATION_IN.\n\n Explanation:\n The text states that", " VISITED", " VISITED_ON", " VISITED", " VISITED", " DONATED", " GIFT_FROM\n The present was given from Aleksandr Lukashenko", " MEETING", " VISITED", " MEETING", " VISITED_ORGANIZATION", " LOCATION_OF\n OR:\n ASSOCIATED_WITH\n ", " VISITED", " VISITED", " VISITED_IN\n\n Entities: \n [{'head':", " CELEBRATED_AT", " VISITED", " VISITED_AT\n\n Entities: \n [{'head':", " VISITED_AT\n\n Entities: \n [{'head':", " VISITED", " VISITED", " VISITED", " VISITED", " VISITED", " VISITED", " VISITED", " VISITED", " VISITED", " COUNTRY_OF_RESIDENCE", " VISITED", " LOCATION.IN.LOCATION", " VISITED_ON", " COUNTRY_OF_RESIDENCE", " VISITED", " LOCATION.IN.LOCATION", " LOCATION.IN.LOCATION", " MEETING", " COUNTRY_CAPITAL", " LOCATION_OF\n or\n BELONGS_TO\n or", " NO_RELATION. The text does not provide enough context to determine a relation between 'Bel", " COUNTRY_OF_RESIDENCE", " VISITED_BY", " DONATED", " GPE_OF\n\n Explanation:\n The text states that the President", " VISITED", " COUNTRY_OF_RESIDENCE", " VISITED", " INSTITUTIONAL_AFFILIATION", " HOMELAND_OF\n or\n BELONGS_TO\n ", " SELF_REFERENCE", " VISITED", " VISITED", " VISITED_ON.", " PRESIDENT_OF.\n\n Entities: \n [{'head':", " VISITED", " VISITED", " VISITED", " MEETING", " PRESIDES_OVER", " VISITED", " VISITED_ON\n\n Entities: \n [{'head':", " SELF_REFERENCE", " MEETING", " DONATED", " NO_RELATION.", " MEETING", " NO_RELATION (Since the entities are the same)", " MEETING", " INTERACTS_WITH", " GOVERNMENT_OF_A_COUNTRY_IS_AFFILI", " VISITED", " VISITED", " LOCATION.IN.LOCATION", " LOCATION_IN.", " VISITED", " LOCATION.IN.LOCATION", " LOCATION.IN.LOCATION", " VISITED_BY", " LOCATION_IN.", " VISITED_AT\n\n Explanation:\n The text states that", " VISITED", " VISITED", " VISITED", " VISITED", " VISITED", " VISITED_BY\n\n Explanation:\n The text describes Aleks", " VISITED", " VISITED", " LOCATION_IN_LOCATION", " VISITED_ON", " LOCATION_IN.\n\n Entities: \n [{'head':", " VISITED", " VISITED", " LOCATION_LOCATION", " MEETING", " LOCATION_IN.\n\n Entities: \n [{'head':", " VISITED", " VISITED_ON", " VISITED", " MEETING", " DONATED", " GIFT_FROM\n The text describes that the President gave a book to Metropolitan Fil", " MEETING", " VISITED", " MEETING", " INTERACTS_WITH", " LOCATION_OF\n Or\n LOCATION_ASSOCIATED_", " VISITED", " VISITED", " LOCATION_IN.", " VISITED_ON", " LOCATION_IN.\n\n Explanation:\n The text states that", " VISITED", " VISITED", " LOCATION_IN_LOCATION", " MEETING", " LOCATION_IN.", " VISITED", " VISITED_ON\n\n Entities: \n [{'head':", " VISITED", " MEETING", " DONATED", " GIFT_FROM\n OR\n HAS_PROPERTY\n (The text does", " MEETING", " VISITED", " MEETING", " INTERACTS_WITH", " LOCATION_OF\n OR:\n ASSOCIATED_WITH\n ", " MEETING", " HEAD_OF\n\n Explanation:\n The text states that \"Pres", " LOCATION_OF.", " MEETING_ON\n\n Entities: \n [{'head': ['", " PATRIARCHAL_EXARCH_OF_ALL_BELARUS_IS", " MEETING", " HEAD_OF\n\n Explanation:\n The text states that \"Pres", " LOCATION_OF.", " LOCATION_OF. (Metropolitan Filaret is located in Minsk)", " PATRIARCHAL_EXARCH_OF_ALL_BELARUS_IS", " HEAD_OF\n\n Explanation:\n The text states that \"Pres", " MEETING_ON\n\n Entities: \n [{'head': ['", " MEETING", " MET_OF_CHURCH", " RECEIVED_GIFT", " GIFT_FROM\n\n Entities: \n [{'head': ['1", " MET_OF_CHURCH", " MEETING", " MET_OF_CHURCH", " HEAD_OF\n\n Explanation:\n The text states that \"Pres", " INTERACTS_WITH\n\n Explanation:\n The text states that", " COUNTRY_OF_RESIDENCE", " VISITED", " LOCATION.IN.LOCATION", " VISITED_ON", " COUNTRY_CAPITAL", " COUNTRY_OF_RESIDENCE", " VISITED", " LOCATION.IN.LOCATION", " LOCATION.IN.LOCATION", " MEETING", " LOCATION_OF\n or\n BELONGS_TO\n or", " VISITED_ON", " COUNTRY_OF_RESIDENCE", " VISITED", " DONATED", " GIFT_FROM\n The text describes that the President of Belarus, Aleksand", " VISITED", " COUNTRY_OF_RESIDENCE", " VISITED", " INTERACTS_WITH", " SOCIETY_OF\n\n Explanation:\n The text describes Aleks", " VISITED", " LOCATION_AT.\n Or, if you prefer, HOST_AT.", " LOCATION_OF. (The Orthodox Church is located in Minsk)", " VISITED_ON", " LOCATION_IN.", " VISITED", " LOCATION_AT.\n Or, if you prefer, HOST_AT.", " LOCATION_OF. (The Orthodox Church is located in Minsk.)", " LOCATION_OF. (The Orthodox Church is located in Minsk.)", " MEETING", " LOCATION_IN.", " VISITED_ON.", " VISITED", " MEETING", " DONATED", " BOOK_OF_RELIGION\n\n Explanation:\n The text", " MEETING", " VISITED", " MEETING", " CHURCH_OF_CHURCH", " CHURCH_OF_RELIGION\n\n Explanation:\n The", " VISITED", " VISITED", " VISITED_AT\n\n Entities: \n [{'head':", " NO_RELATION.\n\n Entities: \n [{'head': ['", " VISITED_ON\n\n Entities: \n [{'head':", " VISITED_AT\n\n Entities: \n [{'head':", " VISITED_AT\n\n Entities: \n [{'head':", " MEETING", " CELEBRATED_AT", " VISITED", " VISITED", " VISITED", " MEETING", " VISITED", " MEETING", " INTERACTED_WITH", " SELF_REFERENCE", " VISITED", " VISITED", " VISITED_ON\n\n Entities: \n [{'head':", " PRESIDES_OVER", " SELF_REFERENCE", " VISITED", " VISITED", " VISITED", " MEETING", " PRESIDES_OVER", " VISITED", " VISITED_ON\n\n Entities: \n [{'head':", " MEETING", " DONATED", " GIFT_FROM\n\n Entities: \n [{'head': ['5", " MEETING", " NO_RELATION (Since the entities are the same)", " MEETING", " INTERACTS_WITH", " INITIATED_SPIRITUAL_REVIVAL_OF", " MEETING", " MEETING_AT.\n Or, if you prefer, VISITED_", " MEETING_AT.\n Or, if you prefer, LOCATION_OF", " MEETING", " SPIRITUAL_LEADER_OF\n\n Explanation:\n In", " MEETING", " HEAD_OF\n\n Explanation:\n The text states that \"Pres", " LOCATION.IN.LOCATION", " LOCATION.IN.LOCATION.ORGANIZATION.ORGANIZ", " MET_OF\n\n Explanation:\n The text describes a meeting between", " SPIRITUAL_LEADER_OF\n\n Explanation:\n The", " HEAD_OF\n\n Explanation:\n The text states that \"Pres", " MEETING\n\n Entities: \n [{'head': ['55", " MEETING", " GIFTED_ITEM", " NO_RELATION", " MET_OF_SLOUTSK_FILARET_IS_MET_", " MEETING", " MET_OF_SLOUTSK_FILARET_IS_MET_", " INTERACTS_WITH", " INTERACTS_WITH\n\n Explanation:\n The text describes that", " DONATED", " DONATED_TO", " GIFT_GIVEN_TO\n\n Entities: \n [{'", " DONATED_TO", " OWNED_BY", " GIFT_GIVEN_TO\n\n Entities: \n [{'", " GIFT_GIVEN_TO\n\n Entities: \n [{'", " GIFTED_TO", " DONATED_TO", " DONATED_OBJECT", " OWNED_BY", " GIFT_GAIVER", " GIFT_GAIVER", " DONATED", " GIFTED_TO", " DONATED_TO", " GIFTED_BOOK", " VISITED_AT\n\n Explanation:\n The text states that", " The text describes the location of the event where the entities interacted. Therefore, the relation is", " The text describes the location of the event, which is in Belarus. Therefore, the", " GIFT_FROM", " The text describes the location where the event took place, which is Minsk, being associated", " The text describes the location of the event where the entities interacted. Therefore, the relation label", " GIFT_FROM", " The text describes the location of the event (House of Charity in Minsk,", " GIFT_FROM\n\n Explanation:\n The text states that \"The", " GIFT_FROM\n\n Entities: \n [{'head': ['5", " GIFT_FROM\n\n Explanation:\n The text states that \"The", " GIFT_FROM_PERSON_TO_PERSON", " GIFT_FROM\n\n Entities: \n [{'head': ['1", " GIFT_FROM_PERSON_TO_PERSON", " GIFT_FROM\n\n Explanation:\n The text states that \"The", " MEETING", " HEAD_OF\n\n Explanation:\n The text states that \"Pres", " LOCATION.IN.LOCATION.ORGANIZATION.ORGANIZ", " VISITED_ON", " SPIRITUAL_LEADER_OF\n\n Explanation:\n The", " MEETING", " HEAD_OF\n\n Explanation:\n The text states that \"Pres", " LOCATION.IN.LOCATION.ORGANIZATION.ORGANIZ", " LOCATION.LOCATED_AT.ORGANIZATION", " MET_OF_JURISDICTION\n\n Explanation:\n ", " SPIRITUAL_LEADER_OF\n\n Explanation:\n The", " HEAD_OF\n\n Explanation:\n The text states that \"Pres", " NO_RELATION", " MEETING", " MET_OF_SLOUTSK_FILARET_IS_MET_", " GIFTED_ITEM", " NO_RELATION. The text does not provide enough context to establish a relation between Aleksand", " MEETING", " MET_OF_SAME_ORGANIZATION", " HEAD_OF\n\n Explanation:\n The text states that \"Pres", " HEAD_OF_RELIGION", " SELF_REFERENCE", " VISITED", " VISITED", " VISITED_ON", " PRESIDES_OVER", " SELF_REFERENCE", " VISITED", " VISITED", " VISITED", " VISITED_BY", " PRESIDES_OVER", " VISITED", " VISITED_ON\n\n Entities: \n [{'head':", " SELF_REFERENCE", " MEETING", " DONATED", " GIFT_FROM\n\n Entities: \n [{'head': ['1", " MEETING", " MEETING", " INTERACTS_WITH", " GOVERNMENT_OF_A_COUNTRY_IS_AFFILI", " MEETING", " HEAD_OF\n\n Explanation:\n The text states that \"Pres", " LOCATION_OF.", " VISITED_ON", " SPIRITUAL_LEADER_OF\n\n Explanation:\n The", " MEETING", " HEAD_OF\n\n Explanation:\n The text states that \"Pres", " LOCATION.IN.LOCATION.ORGANIZATION.ORGANIZ", " LOCATION.IN.LOCATION.ORGANIZATION.ORGANIZ", " MET_OF\n\n Explanation:\n The text describes a meeting between", " SPIRITUAL_LEADER_OF\n\n Explanation:\n The", " HEAD_OF\n\n Explanation:\n The text states that \"Pres", " MEETING_ON\n\n Entities: \n [{'head': ['", " MEETING", " MET_OF_SLOUTSK_FILARET_IS_MET_", " GIFTED_ITEM", " NO_RELATION", " MET_OF_CHURCH\n\n Explanation:\n The text", " MEETING", " INTERACTS_WITH", " INTERACTS_WITH\n OR:\n HAS_INTERACTION_WITH", " INTERACTS_WITH", " INSTITUTION_PART_OF\n or\n LOCATION_PART", " INTERACTS_WITH", " INSTANCED_FROM\n\n Explanation:\n The text describes", " INSTITUTION_IN_REGION", " INTERACTS_WITH", " CHURCH_AT_LOCATION", " INTERACTS_WITH", " INTERACTS_WITH", " INTERACTS_WITH", " INSTITUTION_IN\n or\n ORG_IN\n or", " CHURCH_OF_CHURCH", " INTERACTS_WITH\n\n Explanation:\n The text describes Aleks", " INTERACTS_WITH", " INTERACTS_WITH", " DONATED", " BELONGS_TO", " INTERACTS_WITH", " INTERACTS_WITH", " INTERACTS_WITH", " CHURCH_OF_RELIGION\n\n Explanation:\n The", " CHRISTIAN_ORGANIZATION_MEMBER\n\n Explan", " VISITED_AT. This is the correct relation label. The head entity (Christ", " LOCATION_OF\n\n Explanation:\n The text describes Aleksand", " CHRISTIANITY_IN_BELARUS", " CHRISTIAN_ORGANIZATION_MEMBER\n\n Explan", " LOCATION_OF\n or\n CHRISTIANITY_LOCATION", " LOCATION_OF\n\n Explanation:\n The text describes Aleksand", " SPIRITUAL_ADVISOR", " CHRISTIANITY_IN_BELARUS", " VISITED_CHURCH\n\n Explanation:\n The text", " CHRISTIAN_ORGANIZATION_MEMBER\n\n Explan", " SPIRITUAL_LEADER_OF\n\n Explanation:\n The", " SPIRITUAL_ADVISOR", " CHRISTIAN_ORGANIZATION_MEMBER\n\n Explan", " SPIRITUAL_ADVISOR", " CHURCH_OF_RELIGION\n\n Explanation:\n The" ]
[ [ "0", "2", "PERSON", "Aleksandr Lukashenko" ], [ "3", "6", "ORG", "House of Charity" ], [ "7", "8", "GPE", "Minsk" ], [ "10", "15", "DATE", "Christmas Day, 7 January" ], [ "18", "19", "GPE", "Belarus" ], [ "19", "21", "PERSON", "Aleksandr Lukashenko" ], [ "22", "26", "FAC", "the House of Charity" ], [ "27", "28", "GPE", "Minsk" ], [ "33", "34", "GPE", "Minsk" ], [ "35", "37", "PERSON", "Slutsk Filaret" ], [ "42", "43", "GPE", "Belarus" ], [ "48", "51", "ORG", "the Orthodox Church" ], [ "55", "56", "DATE", "Christmas" ], [ "59", "61", "PERSON", "Aleksandr Lukashenko" ], [ "63", "64", "PERSON", "Filaret" ], [ "75", "76", "WORK_OF_ART", "Gospels" ], [ "103", "104", "LANGUAGE", "Slavonic" ], [ "112", "113", "PERSON", "Filaret" ], [ "118", "120", "PERSON", "Aleksandr Lukashenko" ], [ "122", "123", "PERSON", "Filaret" ], [ "138", "142", "ORG", "the Belarusian Orthodox Church" ], [ "147", "148", "NORP", "Christian" ] ]
658
660
[ "(W) John Allison (A) Max Sarin (CA) John Allison\nAn Agatha Christie-style murder mystery set in the world of English competitive baking from Giant Days' John Allison and Max Sarin.\nWhen she enters her country's most beloved baking competition, Shauna Wickle's goal is to delight the judges, charm the nation, and make a few friends along the way. But when a fellow contestant is poisoned, it falls to her to apprehend the culprit while avoiding premature elimination from the UK Bakery Tent... and being the poisoner's next victim!\nIn Shops: Apr 12, 2023\nView All Items In This Series" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ["(W) John Allison (A) Max Sarin (CA) John Allison\nAn Agatha Christie-style murder mystery set in the world of English competitive baking from Giant Days' John Allison and Max Sarin.\nWhen she enters her country's most beloved baking competition, Shauna Wickle's goal is to delight the judges, charm the nation, and make a few friends along the way. But when a fellow contestant is poisoned, it falls to her to apprehend the culprit while avoiding premature elimination from the UK Bakery Tent... and being the poisoner's next victim!\nIn Shops: Apr 12, 2023\nView All Items In This Series"] Entities: [{'head': ['3', '5', 'PERSON', 'John Allison'], 'tail': ['8', '10', 'PERSON', 'Max Sarin']}] Relation:
[ [ { "head": [ "3", "5", "PERSON", "John Allison" ], "tail": [ "8", "10", "PERSON", "Max Sarin" ] } ], [ { "head": [ "3", "5", "PERSON", "John Allison" ], "tail": [ "13", "15", "PERSON", "John Allison" ] } ], [ { "head": [ "3", "5", "PERSON", "John Allison" ], "tail": [ "17", "19", "PERSON", "Agatha Christie" ] } ], [ { "head": [ "3", "5", "PERSON", "John Allison" ], "tail": [ "28", "29", "NORP", "English" ] } ], [ { "head": [ "3", "5", "PERSON", "John Allison" ], "tail": [ "32", "35", "ORG", "Giant Days'" ] } ], [ { "head": [ "3", "5", "PERSON", "John Allison" ], "tail": [ "35", "37", "PERSON", "John Allison" ] } ], [ { "head": [ "3", "5", "PERSON", "John Allison" ], "tail": [ "38", "40", "PERSON", "Max Sarin" ] } ], [ { "head": [ "3", "5", "PERSON", "John Allison" ], "tail": [ "53", "56", "PERSON", "Shauna Wickle's" ] } ], [ { "head": [ "3", "5", "PERSON", "John Allison" ], "tail": [ "97", "101", "ORG", "the UK Bakery Tent" ] } ], [ { "head": [ "3", "5", "PERSON", "John Allison" ], "tail": [ "114", "118", "DATE", "Apr 12, 2023" ] } ], [ { "head": [ "8", "10", "PERSON", "Max Sarin" ], "tail": [ "3", "5", "PERSON", "John Allison" ] } ], [ { "head": [ "8", "10", "PERSON", "Max Sarin" ], "tail": [ "13", "15", "PERSON", "John Allison" ] } ], [ { "head": [ "8", "10", "PERSON", "Max Sarin" ], "tail": [ "17", "19", "PERSON", "Agatha Christie" ] } ], [ { "head": [ "8", "10", "PERSON", "Max Sarin" ], "tail": [ "28", "29", "NORP", "English" ] } ], [ { "head": [ "8", "10", "PERSON", "Max Sarin" ], "tail": [ "32", "35", "ORG", "Giant Days'" ] } ], [ { "head": [ "8", "10", "PERSON", "Max Sarin" ], "tail": [ "35", "37", "PERSON", "John Allison" ] } ], [ { "head": [ "8", "10", "PERSON", "Max Sarin" ], "tail": [ "38", "40", "PERSON", "Max Sarin" ] } ], [ { "head": [ "8", "10", "PERSON", "Max Sarin" ], "tail": [ "53", "56", "PERSON", "Shauna Wickle's" ] } ], [ { "head": [ "8", "10", "PERSON", "Max Sarin" ], "tail": [ "97", "101", "ORG", "the UK Bakery Tent" ] } ], [ { "head": [ "8", "10", "PERSON", "Max Sarin" ], "tail": [ "114", "118", "DATE", "Apr 12, 2023" ] } ], [ { "head": [ "13", "15", "PERSON", "John Allison" ], "tail": [ "3", "5", "PERSON", "John Allison" ] } ], [ { "head": [ "13", "15", "PERSON", "John Allison" ], "tail": [ "8", "10", "PERSON", "Max Sarin" ] } ], [ { "head": [ "13", "15", "PERSON", "John Allison" ], "tail": [ "17", "19", "PERSON", "Agatha Christie" ] } ], [ { "head": [ "13", "15", "PERSON", "John Allison" ], "tail": [ "28", "29", "NORP", "English" ] } ], [ { "head": [ "13", "15", "PERSON", "John Allison" ], "tail": [ "32", "35", "ORG", "Giant Days'" ] } ], [ { "head": [ "13", "15", "PERSON", "John Allison" ], "tail": [ "35", "37", "PERSON", "John Allison" ] } ], [ { "head": [ "13", "15", "PERSON", "John Allison" ], "tail": [ "38", "40", "PERSON", "Max Sarin" ] } ], [ { "head": [ "13", "15", "PERSON", "John Allison" ], "tail": [ "53", "56", "PERSON", "Shauna Wickle's" ] } ], [ { "head": [ "13", "15", "PERSON", "John Allison" ], "tail": [ "97", "101", "ORG", "the UK Bakery Tent" ] } ], [ { "head": [ "13", "15", "PERSON", "John Allison" ], "tail": [ "114", "118", "DATE", "Apr 12, 2023" ] } ], [ { "head": [ "17", "19", "PERSON", "Agatha Christie" ], "tail": [ "3", "5", "PERSON", "John Allison" ] } ], [ { "head": [ "17", "19", "PERSON", "Agatha Christie" ], "tail": [ "8", "10", "PERSON", "Max Sarin" ] } ], [ { "head": [ "17", "19", "PERSON", "Agatha Christie" ], "tail": [ "13", "15", "PERSON", "John Allison" ] } ], [ { "head": [ "17", "19", "PERSON", "Agatha Christie" ], "tail": [ "28", "29", "NORP", "English" ] } ], [ { "head": [ "17", "19", "PERSON", "Agatha Christie" ], "tail": [ "32", "35", "ORG", "Giant Days'" ] } ], [ { "head": [ "17", "19", "PERSON", "Agatha Christie" ], "tail": [ "35", "37", "PERSON", "John Allison" ] } ], [ { "head": [ "17", "19", "PERSON", "Agatha Christie" ], "tail": [ "38", "40", "PERSON", "Max Sarin" ] } ], [ { "head": [ "17", "19", "PERSON", "Agatha Christie" ], "tail": [ "53", "56", "PERSON", "Shauna Wickle's" ] } ], [ { "head": [ "17", "19", "PERSON", "Agatha Christie" ], "tail": [ "97", "101", "ORG", "the UK Bakery Tent" ] } ], [ { "head": [ "17", "19", "PERSON", "Agatha Christie" ], "tail": [ "114", "118", "DATE", "Apr 12, 2023" ] } ], [ { "head": [ "28", "29", "NORP", "English" ], "tail": [ "3", "5", "PERSON", "John Allison" ] } ], [ { "head": [ "28", "29", "NORP", "English" ], "tail": [ "8", "10", "PERSON", "Max Sarin" ] } ], [ { "head": [ "28", "29", "NORP", "English" ], "tail": [ "13", "15", "PERSON", "John Allison" ] } ], [ { "head": [ "28", "29", "NORP", "English" ], "tail": [ "17", "19", "PERSON", "Agatha Christie" ] } ], [ { "head": [ "28", "29", "NORP", "English" ], "tail": [ "32", "35", "ORG", "Giant Days'" ] } ], [ { "head": [ "28", "29", "NORP", "English" ], "tail": [ "35", "37", "PERSON", "John Allison" ] } ], [ { "head": [ "28", "29", "NORP", "English" ], "tail": [ "38", "40", "PERSON", "Max Sarin" ] } ], [ { "head": [ "28", "29", "NORP", "English" ], "tail": [ "53", "56", "PERSON", "Shauna Wickle's" ] } ], [ { "head": [ "28", "29", "NORP", "English" ], "tail": [ "97", "101", "ORG", "the UK Bakery Tent" ] } ], [ { "head": [ "32", "35", "ORG", "Giant Days'" ], "tail": [ "3", "5", "PERSON", "John Allison" ] } ], [ { "head": [ "32", "35", "ORG", "Giant Days'" ], "tail": [ "8", "10", "PERSON", "Max Sarin" ] } ], [ { "head": [ "32", "35", "ORG", "Giant Days'" ], "tail": [ "13", "15", "PERSON", "John Allison" ] } ], [ { "head": [ "32", "35", "ORG", "Giant Days'" ], "tail": [ "17", "19", "PERSON", "Agatha Christie" ] } ], [ { "head": [ "32", "35", "ORG", "Giant Days'" ], "tail": [ "28", "29", "NORP", "English" ] } ], [ { "head": [ "32", "35", "ORG", "Giant Days'" ], "tail": [ "35", "37", "PERSON", "John Allison" ] } ], [ { "head": [ "32", "35", "ORG", "Giant Days'" ], "tail": [ "38", "40", "PERSON", "Max Sarin" ] } ], [ { "head": [ "32", "35", "ORG", "Giant Days'" ], "tail": [ "53", "56", "PERSON", "Shauna Wickle's" ] } ], [ { "head": [ "32", "35", "ORG", "Giant Days'" ], "tail": [ "97", "101", "ORG", "the UK Bakery Tent" ] } ], [ { "head": [ "32", "35", "ORG", "Giant Days'" ], "tail": [ "114", "118", "DATE", "Apr 12, 2023" ] } ], [ { "head": [ "35", "37", "PERSON", "John Allison" ], "tail": [ "3", "5", "PERSON", "John Allison" ] } ], [ { "head": [ "35", "37", "PERSON", "John Allison" ], "tail": [ "8", "10", "PERSON", "Max Sarin" ] } ], [ { "head": [ "35", "37", "PERSON", "John Allison" ], "tail": [ "13", "15", "PERSON", "John Allison" ] } ], [ { "head": [ "35", "37", "PERSON", "John Allison" ], "tail": [ "17", "19", "PERSON", "Agatha Christie" ] } ], [ { "head": [ "35", "37", "PERSON", "John Allison" ], "tail": [ "28", "29", "NORP", "English" ] } ], [ { "head": [ "35", "37", "PERSON", "John Allison" ], "tail": [ "32", "35", "ORG", "Giant Days'" ] } ], [ { "head": [ "35", "37", "PERSON", "John Allison" ], "tail": [ "38", "40", "PERSON", "Max Sarin" ] } ], [ { "head": [ "35", "37", "PERSON", "John Allison" ], "tail": [ "53", "56", "PERSON", "Shauna Wickle's" ] } ], [ { "head": [ "35", "37", "PERSON", "John Allison" ], "tail": [ "97", "101", "ORG", "the UK Bakery Tent" ] } ], [ { "head": [ "35", "37", "PERSON", "John Allison" ], "tail": [ "114", "118", "DATE", "Apr 12, 2023" ] } ], [ { "head": [ "38", "40", "PERSON", "Max Sarin" ], "tail": [ "3", "5", "PERSON", "John Allison" ] } ], [ { "head": [ "38", "40", "PERSON", "Max Sarin" ], "tail": [ "8", "10", "PERSON", "Max Sarin" ] } ], [ { "head": [ "38", "40", "PERSON", "Max Sarin" ], "tail": [ "13", "15", "PERSON", "John Allison" ] } ], [ { "head": [ "38", "40", "PERSON", "Max Sarin" ], "tail": [ "17", "19", "PERSON", "Agatha Christie" ] } ], [ { "head": [ "38", "40", "PERSON", "Max Sarin" ], "tail": [ "28", "29", "NORP", "English" ] } ], [ { "head": [ "38", "40", "PERSON", "Max Sarin" ], "tail": [ "32", "35", "ORG", "Giant Days'" ] } ], [ { "head": [ "38", "40", "PERSON", "Max Sarin" ], "tail": [ "35", "37", "PERSON", "John Allison" ] } ], [ { "head": [ "38", "40", "PERSON", "Max Sarin" ], "tail": [ "53", "56", "PERSON", "Shauna Wickle's" ] } ], [ { "head": [ "38", "40", "PERSON", "Max Sarin" ], "tail": [ "97", "101", "ORG", "the UK Bakery Tent" ] } ], [ { "head": [ "38", "40", "PERSON", "Max Sarin" ], "tail": [ "114", "118", "DATE", "Apr 12, 2023" ] } ], [ { "head": [ "53", "56", "PERSON", "Shauna Wickle's" ], "tail": [ "3", "5", "PERSON", "John Allison" ] } ], [ { "head": [ "53", "56", "PERSON", "Shauna Wickle's" ], "tail": [ "8", "10", "PERSON", "Max Sarin" ] } ], [ { "head": [ "53", "56", "PERSON", "Shauna Wickle's" ], "tail": [ "13", "15", "PERSON", "John Allison" ] } ], [ { "head": [ "53", "56", "PERSON", "Shauna Wickle's" ], "tail": [ "17", "19", "PERSON", "Agatha Christie" ] } ], [ { "head": [ "53", "56", "PERSON", "Shauna Wickle's" ], "tail": [ "28", "29", "NORP", "English" ] } ], [ { "head": [ "53", "56", "PERSON", "Shauna Wickle's" ], "tail": [ "32", "35", "ORG", "Giant Days'" ] } ], [ { "head": [ "53", "56", "PERSON", "Shauna Wickle's" ], "tail": [ "35", "37", "PERSON", "John Allison" ] } ], [ { "head": [ "53", "56", "PERSON", "Shauna Wickle's" ], "tail": [ "38", "40", "PERSON", "Max Sarin" ] } ], [ { "head": [ "53", "56", "PERSON", "Shauna Wickle's" ], "tail": [ "97", "101", "ORG", "the UK Bakery Tent" ] } ], [ { "head": [ "53", "56", "PERSON", "Shauna Wickle's" ], "tail": [ "114", "118", "DATE", "Apr 12, 2023" ] } ], [ { "head": [ "97", "101", "ORG", "the UK Bakery Tent" ], "tail": [ "3", "5", "PERSON", "John Allison" ] } ], [ { "head": [ "97", "101", "ORG", "the UK Bakery Tent" ], "tail": [ "8", "10", "PERSON", "Max Sarin" ] } ], [ { "head": [ "97", "101", "ORG", "the UK Bakery Tent" ], "tail": [ "13", "15", "PERSON", "John Allison" ] } ], [ { "head": [ "97", "101", "ORG", "the UK Bakery Tent" ], "tail": [ "17", "19", "PERSON", "Agatha Christie" ] } ], [ { "head": [ "97", "101", "ORG", "the UK Bakery Tent" ], "tail": [ "28", "29", "NORP", "English" ] } ], [ { "head": [ "97", "101", "ORG", "the UK Bakery Tent" ], "tail": [ "32", "35", "ORG", "Giant Days'" ] } ], [ { "head": [ "97", "101", "ORG", "the UK Bakery Tent" ], "tail": [ "35", "37", "PERSON", "John Allison" ] } ], [ { "head": [ "97", "101", "ORG", "the UK Bakery Tent" ], "tail": [ "38", "40", "PERSON", "Max Sarin" ] } ], [ { "head": [ "97", "101", "ORG", "the UK Bakery Tent" ], "tail": [ "53", "56", "PERSON", "Shauna Wickle's" ] } ], [ { "head": [ "97", "101", "ORG", "the UK Bakery Tent" ], "tail": [ "114", "118", "DATE", "Apr 12, 2023" ] } ], [ { "head": [ "114", "118", "DATE", "Apr 12, 2023" ], "tail": [ "3", "5", "PERSON", "John Allison" ] } ], [ { "head": [ "114", "118", "DATE", "Apr 12, 2023" ], "tail": [ "8", "10", "PERSON", "Max Sarin" ] } ], [ { "head": [ "114", "118", "DATE", "Apr 12, 2023" ], "tail": [ "13", "15", "PERSON", "John Allison" ] } ], [ { "head": [ "114", "118", "DATE", "Apr 12, 2023" ], "tail": [ "17", "19", "PERSON", "Agatha Christie" ] } ], [ { "head": [ "114", "118", "DATE", "Apr 12, 2023" ], "tail": [ "32", "35", "ORG", "Giant Days'" ] } ], [ { "head": [ "114", "118", "DATE", "Apr 12, 2023" ], "tail": [ "35", "37", "PERSON", "John Allison" ] } ], [ { "head": [ "114", "118", "DATE", "Apr 12, 2023" ], "tail": [ "38", "40", "PERSON", "Max Sarin" ] } ], [ { "head": [ "114", "118", "DATE", "Apr 12, 2023" ], "tail": [ "53", "56", "PERSON", "Shauna Wickle's" ] } ], [ { "head": [ "114", "118", "DATE", "Apr 12, 2023" ], "tail": [ "97", "101", "ORG", "the UK Bakery Tent" ] } ] ]
[ " COLLABORATOR", " SAME_PERSON", " INFLUENCED_BY", " SET_IN_LOCATION", " CREATED_BY", " SAME_PERSON", " COLLABORATOR", " AUTHOR_OF", " ORGANIZER", " PUBLISHED_ON", " COLLABORATOR", " COLLABORATOR", " INFLUENCED_BY", " CREATES_FROM\n\n Explanation:\n Max Sarin creates", " CREATED_BY", " COLLABORATOR", " SAME_PERSON", " CONTESTANT_OF", " ORGANIZER", " CREATED_BY", " SAME_PERSON", " COLLABORATOR", " INFLUENCED_BY", " SET_IN.", " CREATES_WORK_FOR\n\n Explanation:\n John All", " SAME_PERSON", " COLLABORATOR", " AUTHOR_OF", " ORGANIZES", " PUBLISHED_ON", " AUTHOR_OF\n\n Text: \n [\"(W) John Allison", " AUTHOR_OF\n\n Explanation:\n The text mentions that \"", " AUTHOR_OF\n\n Text: \n [\"(W) John Allison", " SETTING\n\n Explanation:\n The text describes a murder mystery \"set", " AUTHOR_OF", " AUTHOR_OF\n\n Text: \n [\"(W) John Allison", " AUTHOR_OF\n\n Text: \n [\"(W) John Allison", " AUTHOR_OF\n\n Text: \n [\"(W) John Allison", " SETTING", " SETTING\n\n Explanation:\n The text describes a murder mystery story set", " CREATED_BY", " AUTHOR_OF", " CREATED_BY", " STYLE_OF\n\n Explanation:\n The text describes a murder", " AUTHOR_OF\n\n Explanation:\n The text describes John Allison", " CREATED_BY", " CREATED_BY", " GOV_BY\n Or, if you prefer, you could use the more descript", " LOCATION_OF\n ORGANIZED_BY\n (Note:", " CREATED_BY", " CREATED_BY", " CREATED_BY", " INFLUENCED_BY", " SETTING_OF\n\n Explanation:\n The text describes a murder mystery", " CREATED_BY", " COLLABORATOR", " AUTHOR_OF\n\n Text: \n [\"(W) John Allison", " PUBLISHER_OF", " PUBLISHED_ON", " SAME_PERSON", " COLLABORATOR", " SAME_PERSON", " INFLUENCED_BY", " SET_IN.", " CREATES_WORK_FOR\n\n Explanation:\n The text", " COLLABORATOR", " AUTHOR_OF", " ORGANIZER", " PUBLISHED_ON", " COLLABORATOR", " SAME_PERSON", " COLLABORATOR", " INFLUENCED_BY", " CREATES_FROM\n\n Explanation:\n Max Sarin creates", " CREATED_BY", " COLLABORATOR", " CONTESTANT_OF", " ORGANIZER", " CREATED_BY", " AUTHOR_OF", " CONTESTANT_OF", " AUTHOR_OF", " INFLUENCED_BY", " SETTING.LOCATION.COUNTRY", " PUBLISHER_OF", " AUTHOR_OF\n\n Text: \n [\"(W) John Allison", " CONTESTANT_OF", " LOCATED_AT", " IN_SHOPS_ON", " AUTHOR_OF", " CONTESTANT_OF", " AUTHOR_OF\n\n Explanation:\n The text describes John Allison", " SETTING_OF\n\n Explanation:\n The text describes a murder mystery", " LOCATION_OF\n Or, if you prefer, you can use the following format", " PUBLISHER_OF", " AUTHOR_OF", " CONTESTANT_OF", " HOSTED_BY", " IN_EVENT", " CREATED_BY", " AUTHOR_OF", " AUTHOR_OF", " AUTHOR_OF\n\n Explanation:\n The text mentions that \"", " PUBLISHER_OF", " AUTHOR_OF", " CREATED_BY", " IN_SHOPS_ON", " IN_LOCATION" ]
[ [ "3", "5", "PERSON", "John Allison" ], [ "8", "10", "PERSON", "Max Sarin" ], [ "13", "15", "PERSON", "John Allison" ], [ "17", "19", "PERSON", "Agatha Christie" ], [ "28", "29", "NORP", "English" ], [ "32", "35", "ORG", "Giant Days'" ], [ "35", "37", "PERSON", "John Allison" ], [ "38", "40", "PERSON", "Max Sarin" ], [ "53", "56", "PERSON", "Shauna Wickle's" ], [ "97", "101", "ORG", "the UK Bakery Tent" ], [ "114", "118", "DATE", "Apr 12, 2023" ] ]
659
661
[ "The Special Kobe Bryant Jersey will be available to purchase through special ticket event link through the Dodgers website and will be given out on September 1st for the Lakers Night Promotion. It will have the No. 8 in the front and the No. 24 in the back with a snake skin type print on them. What are your thoughts?" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['The Special Kobe Bryant Jersey will be available to purchase through special ticket event link through the Dodgers website and will be given out on September 1st for the Lakers Night Promotion. It will have the No. 8 in the front and the No. 24 in the back with a snake skin type print on them. What are your thoughts?'] Entities: [{'head': ['2', '4', 'PERSON', 'Kobe Bryant'], 'tail': ['17', '18', 'ORG', 'Dodgers']}] Relation:
[ [ { "head": [ "2", "4", "PERSON", "Kobe Bryant" ], "tail": [ "17", "18", "ORG", "Dodgers" ] } ], [ { "head": [ "2", "4", "PERSON", "Kobe Bryant" ], "tail": [ "25", "27", "DATE", "September 1st" ] } ], [ { "head": [ "2", "4", "PERSON", "Kobe Bryant" ], "tail": [ "29", "32", "ORG", "Lakers Night Promotion" ] } ], [ { "head": [ "2", "4", "PERSON", "Kobe Bryant" ], "tail": [ "39", "40", "CARDINAL", "8" ] } ], [ { "head": [ "2", "4", "PERSON", "Kobe Bryant" ], "tail": [ "47", "48", "CARDINAL", "24" ] } ], [ { "head": [ "17", "18", "ORG", "Dodgers" ], "tail": [ "2", "4", "PERSON", "Kobe Bryant" ] } ], [ { "head": [ "17", "18", "ORG", "Dodgers" ], "tail": [ "25", "27", "DATE", "September 1st" ] } ], [ { "head": [ "17", "18", "ORG", "Dodgers" ], "tail": [ "29", "32", "ORG", "Lakers Night Promotion" ] } ], [ { "head": [ "17", "18", "ORG", "Dodgers" ], "tail": [ "39", "40", "CARDINAL", "8" ] } ], [ { "head": [ "17", "18", "ORG", "Dodgers" ], "tail": [ "47", "48", "CARDINAL", "24" ] } ], [ { "head": [ "25", "27", "DATE", "September 1st" ], "tail": [ "2", "4", "PERSON", "Kobe Bryant" ] } ], [ { "head": [ "25", "27", "DATE", "September 1st" ], "tail": [ "17", "18", "ORG", "Dodgers" ] } ], [ { "head": [ "25", "27", "DATE", "September 1st" ], "tail": [ "29", "32", "ORG", "Lakers Night Promotion" ] } ], [ { "head": [ "29", "32", "ORG", "Lakers Night Promotion" ], "tail": [ "2", "4", "PERSON", "Kobe Bryant" ] } ], [ { "head": [ "29", "32", "ORG", "Lakers Night Promotion" ], "tail": [ "17", "18", "ORG", "Dodgers" ] } ], [ { "head": [ "29", "32", "ORG", "Lakers Night Promotion" ], "tail": [ "25", "27", "DATE", "September 1st" ] } ], [ { "head": [ "29", "32", "ORG", "Lakers Night Promotion" ], "tail": [ "39", "40", "CARDINAL", "8" ] } ], [ { "head": [ "29", "32", "ORG", "Lakers Night Promotion" ], "tail": [ "47", "48", "CARDINAL", "24" ] } ], [ { "head": [ "39", "40", "CARDINAL", "8" ], "tail": [ "2", "4", "PERSON", "Kobe Bryant" ] } ], [ { "head": [ "39", "40", "CARDINAL", "8" ], "tail": [ "17", "18", "ORG", "Dodgers" ] } ], [ { "head": [ "39", "40", "CARDINAL", "8" ], "tail": [ "29", "32", "ORG", "Lakers Night Promotion" ] } ], [ { "head": [ "47", "48", "CARDINAL", "24" ], "tail": [ "2", "4", "PERSON", "Kobe Bryant" ] } ], [ { "head": [ "47", "48", "CARDINAL", "24" ], "tail": [ "17", "18", "ORG", "Dodgers" ] } ], [ { "head": [ "47", "48", "CARDINAL", "24" ], "tail": [ "29", "32", "ORG", "Lakers Night Promotion" ] } ] ]
[ " DISTRIBUTES", " GIVEN_OUT_ON", " GIVEN_OUT_BY", " NO_DIR_RELATION\n But the relation between Kobe Bryant and the number", " HAS_BACK_NUMBER", " DISTRIBUTES", " EVENT_DATE", " DISTRIBUTES", " GIVEN_OUT_BY", " GIVEN_OUT_BY", " GIVEN_OUT_ON", " DISTRIBUTES", " GIVEN_OUT_FOR\n\n Explanation:\n The text states", " PROMOTION_FOR\n ORGANIZED_BY\n (Note", " DISTRIBUTES", " GIVEN_OUT_ON", " GIVEN_OUT_FOR\n\n Explanation:\n The text states", " GIVEN_OUT_BY", " HAS_NUMBER\n\n Explanation:\n The text mentions that the", " SELLER_OF\n ['The Special Kobe Bryant Jersey' is sold by", " GIVEN_OUT_BY", " HAS_NUMBER\n\n Explanation:\n The text states that the jer", " GIVEN_OUT_BY", " GIVEN_OUT_BY" ]
[ [ "2", "4", "PERSON", "Kobe Bryant" ], [ "17", "18", "ORG", "Dodgers" ], [ "25", "27", "DATE", "September 1st" ], [ "29", "32", "ORG", "Lakers Night Promotion" ], [ "39", "40", "CARDINAL", "8" ], [ "47", "48", "CARDINAL", "24" ] ]
660
662
[ "Midget Mane from Statesville NC founded his Record Label Hidden Abilities. With his catchy hooks and grown content, he’s definitely a hit maker. He strives to make good music and his story telling is off the charts. Midget Mane’s new release “Don’t Fail Me” is a song about a guy that finds out his girl has been unfaithful. Check it out below!" ]
[ [ "Midget", "Mane", "from", "Statesville", "NC", "founded", "his", "Record", "Label", "Hidden", "Abilities", ".", "With", "his", "catchy", "hooks", "and", "grown", "content", ",", "he", "’s", "definitely", "a", "hit", "maker", ".", "He", "strives", "to", "make", "good", "music", "and", "his", "story", "telling", "is", "off", "the", "charts", ".", "Midget", "Mane", "’s", "new", "release", "“", "Do", "n’t", "Fail", "Me", "”", "is", "a", "song", "about", "a", "guy", "that", "finds", "out", "his", "girl", "has", "been", "unfaithful", ".", "Check", "it", "out", "below", "!" ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Midget Mane from Statesville NC founded his Record Label Hidden Abilities. With his catchy hooks and grown content, he’s definitely a hit maker. He strives to make good music and his story telling is off the charts. Midget Mane’s new release “Don’t Fail Me” is a song about a guy that finds out his girl has been unfaithful. Check it out below!'] Entities: [{'head': ['0', '2', 'PERSON', 'Midget Mane'], 'tail': ['3', '4', 'GPE', 'Statesville']}] Relation:
[ [ { "head": [ "0", "2", "PERSON", "Midget Mane" ], "tail": [ "3", "4", "GPE", "Statesville" ] } ], [ { "head": [ "0", "2", "PERSON", "Midget Mane" ], "tail": [ "4", "5", "GPE", "NC" ] } ], [ { "head": [ "0", "2", "PERSON", "Midget Mane" ], "tail": [ "9", "11", "ORG", "Hidden Abilities" ] } ], [ { "head": [ "0", "2", "PERSON", "Midget Mane" ], "tail": [ "42", "45", "PERSON", "Midget Mane’s" ] } ], [ { "head": [ "0", "2", "PERSON", "Midget Mane" ], "tail": [ "47", "52", "WORK_OF_ART", "“Don’t Fail Me" ] } ], [ { "head": [ "3", "4", "GPE", "Statesville" ], "tail": [ "0", "2", "PERSON", "Midget Mane" ] } ], [ { "head": [ "3", "4", "GPE", "Statesville" ], "tail": [ "4", "5", "GPE", "NC" ] } ], [ { "head": [ "3", "4", "GPE", "Statesville" ], "tail": [ "9", "11", "ORG", "Hidden Abilities" ] } ], [ { "head": [ "3", "4", "GPE", "Statesville" ], "tail": [ "42", "45", "PERSON", "Midget Mane’s" ] } ], [ { "head": [ "3", "4", "GPE", "Statesville" ], "tail": [ "47", "52", "WORK_OF_ART", "“Don’t Fail Me" ] } ], [ { "head": [ "4", "5", "GPE", "NC" ], "tail": [ "0", "2", "PERSON", "Midget Mane" ] } ], [ { "head": [ "4", "5", "GPE", "NC" ], "tail": [ "3", "4", "GPE", "Statesville" ] } ], [ { "head": [ "4", "5", "GPE", "NC" ], "tail": [ "9", "11", "ORG", "Hidden Abilities" ] } ], [ { "head": [ "4", "5", "GPE", "NC" ], "tail": [ "42", "45", "PERSON", "Midget Mane’s" ] } ], [ { "head": [ "4", "5", "GPE", "NC" ], "tail": [ "47", "52", "WORK_OF_ART", "“Don’t Fail Me" ] } ], [ { "head": [ "9", "11", "ORG", "Hidden Abilities" ], "tail": [ "0", "2", "PERSON", "Midget Mane" ] } ], [ { "head": [ "9", "11", "ORG", "Hidden Abilities" ], "tail": [ "3", "4", "GPE", "Statesville" ] } ], [ { "head": [ "9", "11", "ORG", "Hidden Abilities" ], "tail": [ "4", "5", "GPE", "NC" ] } ], [ { "head": [ "9", "11", "ORG", "Hidden Abilities" ], "tail": [ "42", "45", "PERSON", "Midget Mane’s" ] } ], [ { "head": [ "9", "11", "ORG", "Hidden Abilities" ], "tail": [ "47", "52", "WORK_OF_ART", "“Don’t Fail Me" ] } ], [ { "head": [ "42", "45", "PERSON", "Midget Mane’s" ], "tail": [ "0", "2", "PERSON", "Midget Mane" ] } ], [ { "head": [ "42", "45", "PERSON", "Midget Mane’s" ], "tail": [ "3", "4", "GPE", "Statesville" ] } ], [ { "head": [ "42", "45", "PERSON", "Midget Mane’s" ], "tail": [ "4", "5", "GPE", "NC" ] } ], [ { "head": [ "42", "45", "PERSON", "Midget Mane’s" ], "tail": [ "9", "11", "ORG", "Hidden Abilities" ] } ], [ { "head": [ "42", "45", "PERSON", "Midget Mane’s" ], "tail": [ "47", "52", "WORK_OF_ART", "“Don’t Fail Me" ] } ], [ { "head": [ "47", "52", "WORK_OF_ART", "“Don’t Fail Me" ], "tail": [ "0", "2", "PERSON", "Midget Mane" ] } ], [ { "head": [ "47", "52", "WORK_OF_ART", "“Don’t Fail Me" ], "tail": [ "3", "4", "GPE", "Statesville" ] } ], [ { "head": [ "47", "52", "WORK_OF_ART", "“Don’t Fail Me" ], "tail": [ "4", "5", "GPE", "NC" ] } ], [ { "head": [ "47", "52", "WORK_OF_ART", "“Don’t Fail Me" ], "tail": [ "9", "11", "ORG", "Hidden Abilities" ] } ], [ { "head": [ "47", "52", "WORK_OF_ART", "“Don’t Fail Me" ], "tail": [ "42", "45", "PERSON", "Midget Mane’s" ] } ] ]
[ " FOUNDED_IN.", " FOUNDED_IN.", " FOUNDED_BY", " FOUNDER", " CREATED_BY", " FOUNDED_BY", " LOCATION_IN.", " FOUNDED_BY", " FOUNDED_BY", " FOUNDED", " FOUNDED_BY", " LOCATION_OF\n\n Explanation:\n The text states that \"", " FOUNDED_BY", " FOUNDED_BY", " FOUNDED", " FOUNDED_BY", " FOUNDED_IN.", " FOUNDED_IN.", " FOUNDED_BY", " RECORD_LABEL_FOR_WORK_OF_ART", " FOUNDER", " FOUNDED_IN.", " LOCATION_OF.", " FOUNDED_BY", " CREATED_BY", " CREATED_BY", " FOUNDER_OF", " FOUNDER_OF", " FOUNDED_BY", " CREATED_BY" ]
[ [ "0", "2", "PERSON", "Midget Mane" ], [ "3", "4", "GPE", "Statesville" ], [ "4", "5", "GPE", "NC" ], [ "9", "11", "ORG", "Hidden Abilities" ], [ "42", "45", "PERSON", "Midget Mane’s" ], [ "47", "52", "WORK_OF_ART", "“Don’t Fail Me" ] ]
661
663
[ "Meningitis has killed no fewer than ten persons in Shagari Local Government Area of Sokoto State in the last few weeks. Chairman of the local government, Alhaji Jabbi Shagari, today said the deaths were recorded out of the several cases that are being treated across the local government.\nHe however said the epidemic has been brought under control in the area, just like in many other parts of the state. Shagari also commended the state government for donating assorted drugs and medicament worth over two million naira to the local government.\nHe said the drugs have helped tremendously in combating the menace, saying they were distributed to all the health facilities in the area and administered to victims free of charge." ]
[ [ "Meningitis", "has", "killed", "no", "fewer", "than", "ten", "persons", "in", "Shagari", "Local", "Government", "Area", "of", "Sokoto", "State", "in", "the", "last", "few", "weeks", ".", "Chairman", "of", "the", "local", "government", ",", "Alhaji", "Jabbi", "Shagari", ",", "today", "said", "the", "deaths", "were", "recorded", "out", "of", "the", "several", "cases", "that", "are", "being", "treated", "across", "the", "local", "government", ".", "\n", "He", "however", "said", "the", "epidemic", "has", "been", "brought", "under", "control", "in", "the", "area", ",", "just", "like", "in", "many", "other", "parts", "of", "the", "state", ".", "Shagari", "also", "commended", "the", "state", "government", "for", "donating", "assorted", "drugs", "and", "medicament", "worth", "over", "two", "million", "naira", "to", "the", "local", "government", ".", "\n", "He", "said", "the", "drugs", "have", "helped", "tremendously", "in", "combating", "the", "menace", ",", "saying", "they", "were", "distributed", "to", "all", "the", "health", "facilities", "in", "the", "area", "and", "administered", "to", "victims", "free", "of", "charge", "." ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Meningitis has killed no fewer than ten persons in Shagari Local Government Area of Sokoto State in the last few weeks. Chairman of the local government, Alhaji Jabbi Shagari, today said the deaths were recorded out of the several cases that are being treated across the local government.\nHe however said the epidemic has been brought under control in the area, just like in many other parts of the state. Shagari also commended the state government for donating assorted drugs and medicament worth over two million naira to the local government.\nHe said the drugs have helped tremendously in combating the menace, saying they were distributed to all the health facilities in the area and administered to victims free of charge.'] Entities: [{'head': ['3', '7', 'CARDINAL', 'no fewer than ten'], 'tail': ['9', '13', 'GPE', 'Shagari Local Government Area']}] Relation:
[ [ { "head": [ "3", "7", "CARDINAL", "no fewer than ten" ], "tail": [ "9", "13", "GPE", "Shagari Local Government Area" ] } ], [ { "head": [ "3", "7", "CARDINAL", "no fewer than ten" ], "tail": [ "14", "16", "GPE", "Sokoto State" ] } ], [ { "head": [ "3", "7", "CARDINAL", "no fewer than ten" ], "tail": [ "28", "31", "PERSON", "Alhaji Jabbi Shagari" ] } ], [ { "head": [ "3", "7", "CARDINAL", "no fewer than ten" ], "tail": [ "77", "78", "PERSON", "Shagari" ] } ], [ { "head": [ "9", "13", "GPE", "Shagari Local Government Area" ], "tail": [ "3", "7", "CARDINAL", "no fewer than ten" ] } ], [ { "head": [ "9", "13", "GPE", "Shagari Local Government Area" ], "tail": [ "14", "16", "GPE", "Sokoto State" ] } ], [ { "head": [ "9", "13", "GPE", "Shagari Local Government Area" ], "tail": [ "17", "21", "DATE", "the last few weeks" ] } ], [ { "head": [ "9", "13", "GPE", "Shagari Local Government Area" ], "tail": [ "28", "31", "PERSON", "Alhaji Jabbi Shagari" ] } ], [ { "head": [ "9", "13", "GPE", "Shagari Local Government Area" ], "tail": [ "32", "33", "DATE", "today" ] } ], [ { "head": [ "9", "13", "GPE", "Shagari Local Government Area" ], "tail": [ "77", "78", "PERSON", "Shagari" ] } ], [ { "head": [ "14", "16", "GPE", "Sokoto State" ], "tail": [ "3", "7", "CARDINAL", "no fewer than ten" ] } ], [ { "head": [ "14", "16", "GPE", "Sokoto State" ], "tail": [ "9", "13", "GPE", "Shagari Local Government Area" ] } ], [ { "head": [ "14", "16", "GPE", "Sokoto State" ], "tail": [ "17", "21", "DATE", "the last few weeks" ] } ], [ { "head": [ "14", "16", "GPE", "Sokoto State" ], "tail": [ "28", "31", "PERSON", "Alhaji Jabbi Shagari" ] } ], [ { "head": [ "14", "16", "GPE", "Sokoto State" ], "tail": [ "32", "33", "DATE", "today" ] } ], [ { "head": [ "14", "16", "GPE", "Sokoto State" ], "tail": [ "77", "78", "PERSON", "Shagari" ] } ], [ { "head": [ "17", "21", "DATE", "the last few weeks" ], "tail": [ "9", "13", "GPE", "Shagari Local Government Area" ] } ], [ { "head": [ "17", "21", "DATE", "the last few weeks" ], "tail": [ "14", "16", "GPE", "Sokoto State" ] } ], [ { "head": [ "17", "21", "DATE", "the last few weeks" ], "tail": [ "28", "31", "PERSON", "Alhaji Jabbi Shagari" ] } ], [ { "head": [ "17", "21", "DATE", "the last few weeks" ], "tail": [ "77", "78", "PERSON", "Shagari" ] } ], [ { "head": [ "28", "31", "PERSON", "Alhaji Jabbi Shagari" ], "tail": [ "3", "7", "CARDINAL", "no fewer than ten" ] } ], [ { "head": [ "28", "31", "PERSON", "Alhaji Jabbi Shagari" ], "tail": [ "9", "13", "GPE", "Shagari Local Government Area" ] } ], [ { "head": [ "28", "31", "PERSON", "Alhaji Jabbi Shagari" ], "tail": [ "14", "16", "GPE", "Sokoto State" ] } ], [ { "head": [ "28", "31", "PERSON", "Alhaji Jabbi Shagari" ], "tail": [ "17", "21", "DATE", "the last few weeks" ] } ], [ { "head": [ "28", "31", "PERSON", "Alhaji Jabbi Shagari" ], "tail": [ "32", "33", "DATE", "today" ] } ], [ { "head": [ "28", "31", "PERSON", "Alhaji Jabbi Shagari" ], "tail": [ "77", "78", "PERSON", "Shagari" ] } ], [ { "head": [ "32", "33", "DATE", "today" ], "tail": [ "9", "13", "GPE", "Shagari Local Government Area" ] } ], [ { "head": [ "32", "33", "DATE", "today" ], "tail": [ "14", "16", "GPE", "Sokoto State" ] } ], [ { "head": [ "32", "33", "DATE", "today" ], "tail": [ "28", "31", "PERSON", "Alhaji Jabbi Shagari" ] } ], [ { "head": [ "32", "33", "DATE", "today" ], "tail": [ "77", "78", "PERSON", "Shagari" ] } ], [ { "head": [ "77", "78", "PERSON", "Shagari" ], "tail": [ "3", "7", "CARDINAL", "no fewer than ten" ] } ], [ { "head": [ "77", "78", "PERSON", "Shagari" ], "tail": [ "9", "13", "GPE", "Shagari Local Government Area" ] } ], [ { "head": [ "77", "78", "PERSON", "Shagari" ], "tail": [ "14", "16", "GPE", "Sokoto State" ] } ], [ { "head": [ "77", "78", "PERSON", "Shagari" ], "tail": [ "17", "21", "DATE", "the last few weeks" ] } ], [ { "head": [ "77", "78", "PERSON", "Shagari" ], "tail": [ "28", "31", "PERSON", "Alhaji Jabbi Shagari" ] } ], [ { "head": [ "77", "78", "PERSON", "Shagari" ], "tail": [ "32", "33", "DATE", "today" ] } ] ]
[ " AFFECTED_BY", " AFFECTED_BY", " CAUSED_DEATH", " KILLED", " KILLED_BY\n OR:\n AFFECTED_AREA\n", " PART_OF", " TIME_IN_REGION", " LOCAL_GOVERNMENT_CHAIRMAN", " SPEAKS_ON.", " LOCAL_GOVERNMENT_OF", " KILLED_BY_NUM\n\n Explanation:\n The text states", " LOCATION_IN_LOCATION", " TIME_IN_REGION", " LOCATION_OF\n or\n LOCATED_IN\n or\n", " LOCATION_AT_TIME", " LOCATION_OF\n or\n LOCATED_IN\n or\n", " HAPPENED_IN", " IN_REGION", " CHAIRMAN_OF\n or\n LOCAL_GOVERNMENT_", " OCCURRED_IN", " KILLED_BY\n Or, if you prefer, DEATH_CAUSED_", " CHAIRMAN_OF.", " LOCAL_GOVERNMENT_OF", " OCCURRED_IN_TIME_PERIOD", " SPEAKS_ON\n\n Entities: \n [{'head': ['", " LOCAL_GOVERNMENT_CHAIRMAN.\n This text mentions", " LOCATION_OF\n or\n SPEAKER_LOCATED_IN\n", " LOCATION.IN.ADMIN_DIVISION", " SPEAKER", " SPEAKS_AT", " KILLED\n OR\n CAUSED_DEATH\n OR\n K", " LOCATION_OF", " LOCATION_OF.", " OCCURRED_IN_TIME_PERIOD", " CHAIRMAN_OF", " SPEAKS_ON\n\n Explanation:\n The relation SPEAKS" ]
[ [ "3", "7", "CARDINAL", "no fewer than ten" ], [ "9", "13", "GPE", "Shagari Local Government Area" ], [ "14", "16", "GPE", "Sokoto State" ], [ "17", "21", "DATE", "the last few weeks" ], [ "28", "31", "PERSON", "Alhaji Jabbi Shagari" ], [ "32", "33", "DATE", "today" ], [ "77", "78", "PERSON", "Shagari" ] ]
662
664
[ "The amount of music coming out this week has been impressive to say the least. Yesterday, RL Grime, Skrillex, and What So Not’s track “Waiting”officially hit the internet and it feels so good to finally listen to the track at full quality. The banger that everyone was waiting for does more than live up to the hype, it feeds everyones fantasy for a monster Skrillex x RL Grime x What So Not EP. Enjoy the drums and bass and stream “Waiting” below.\nRL Grime, Skrillex and What So Not – Waiting | Download\nSTAY IN THE KNOW! FOLLOW US ON SPOTIFY" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['The amount of music coming out this week has been impressive to say the least. Yesterday, RL Grime, Skrillex, and What So Not’s track “Waiting”officially hit the internet and it feels so good to finally listen to the track at full quality. The banger that everyone was waiting for does more than live up to the hype, it feeds everyones fantasy for a monster Skrillex x RL Grime x What So Not EP. Enjoy the drums and bass and stream “Waiting” below.\nRL Grime, Skrillex and What So Not – Waiting | Download\nSTAY IN THE KNOW! FOLLOW US ON SPOTIFY'] Entities: [{'head': ['6', '8', 'DATE', 'this week'], 'tail': ['18', '20', 'PERSON', 'RL Grime']}] Relation:
[ [ { "head": [ "6", "8", "DATE", "this week" ], "tail": [ "18", "20", "PERSON", "RL Grime" ] } ], [ { "head": [ "6", "8", "DATE", "this week" ], "tail": [ "21", "22", "ORG", "Skrillex" ] } ], [ { "head": [ "6", "8", "DATE", "this week" ], "tail": [ "24", "28", "ORG", "What So Not’s" ] } ], [ { "head": [ "6", "8", "DATE", "this week" ], "tail": [ "72", "73", "ORG", "Skrillex" ] } ], [ { "head": [ "6", "8", "DATE", "this week" ], "tail": [ "74", "76", "ORG", "RL Grime" ] } ], [ { "head": [ "6", "8", "DATE", "this week" ], "tail": [ "98", "99", "ORG", "Skrillex" ] } ], [ { "head": [ "16", "17", "DATE", "Yesterday" ], "tail": [ "18", "20", "PERSON", "RL Grime" ] } ], [ { "head": [ "16", "17", "DATE", "Yesterday" ], "tail": [ "21", "22", "ORG", "Skrillex" ] } ], [ { "head": [ "16", "17", "DATE", "Yesterday" ], "tail": [ "24", "28", "ORG", "What So Not’s" ] } ], [ { "head": [ "16", "17", "DATE", "Yesterday" ], "tail": [ "72", "73", "ORG", "Skrillex" ] } ], [ { "head": [ "16", "17", "DATE", "Yesterday" ], "tail": [ "74", "76", "ORG", "RL Grime" ] } ], [ { "head": [ "16", "17", "DATE", "Yesterday" ], "tail": [ "98", "99", "ORG", "Skrillex" ] } ], [ { "head": [ "18", "20", "PERSON", "RL Grime" ], "tail": [ "6", "8", "DATE", "this week" ] } ], [ { "head": [ "18", "20", "PERSON", "RL Grime" ], "tail": [ "16", "17", "DATE", "Yesterday" ] } ], [ { "head": [ "18", "20", "PERSON", "RL Grime" ], "tail": [ "21", "22", "ORG", "Skrillex" ] } ], [ { "head": [ "18", "20", "PERSON", "RL Grime" ], "tail": [ "24", "28", "ORG", "What So Not’s" ] } ], [ { "head": [ "18", "20", "PERSON", "RL Grime" ], "tail": [ "72", "73", "ORG", "Skrillex" ] } ], [ { "head": [ "18", "20", "PERSON", "RL Grime" ], "tail": [ "74", "76", "ORG", "RL Grime" ] } ], [ { "head": [ "18", "20", "PERSON", "RL Grime" ], "tail": [ "77", "80", "WORK_OF_ART", "What So Not" ] } ], [ { "head": [ "18", "20", "PERSON", "RL Grime" ], "tail": [ "90", "91", "WORK_OF_ART", "Waiting" ] } ], [ { "head": [ "18", "20", "PERSON", "RL Grime" ], "tail": [ "98", "99", "ORG", "Skrillex" ] } ], [ { "head": [ "18", "20", "PERSON", "RL Grime" ], "tail": [ "100", "103", "WORK_OF_ART", "What So Not" ] } ], [ { "head": [ "21", "22", "ORG", "Skrillex" ], "tail": [ "6", "8", "DATE", "this week" ] } ], [ { "head": [ "21", "22", "ORG", "Skrillex" ], "tail": [ "16", "17", "DATE", "Yesterday" ] } ], [ { "head": [ "21", "22", "ORG", "Skrillex" ], "tail": [ "18", "20", "PERSON", "RL Grime" ] } ], [ { "head": [ "21", "22", "ORG", "Skrillex" ], "tail": [ "24", "28", "ORG", "What So Not’s" ] } ], [ { "head": [ "21", "22", "ORG", "Skrillex" ], "tail": [ "72", "73", "ORG", "Skrillex" ] } ], [ { "head": [ "21", "22", "ORG", "Skrillex" ], "tail": [ "74", "76", "ORG", "RL Grime" ] } ], [ { "head": [ "21", "22", "ORG", "Skrillex" ], "tail": [ "77", "80", "WORK_OF_ART", "What So Not" ] } ], [ { "head": [ "21", "22", "ORG", "Skrillex" ], "tail": [ "90", "91", "WORK_OF_ART", "Waiting" ] } ], [ { "head": [ "21", "22", "ORG", "Skrillex" ], "tail": [ "98", "99", "ORG", "Skrillex" ] } ], [ { "head": [ "21", "22", "ORG", "Skrillex" ], "tail": [ "100", "103", "WORK_OF_ART", "What So Not" ] } ], [ { "head": [ "24", "28", "ORG", "What So Not’s" ], "tail": [ "6", "8", "DATE", "this week" ] } ], [ { "head": [ "24", "28", "ORG", "What So Not’s" ], "tail": [ "16", "17", "DATE", "Yesterday" ] } ], [ { "head": [ "24", "28", "ORG", "What So Not’s" ], "tail": [ "18", "20", "PERSON", "RL Grime" ] } ], [ { "head": [ "24", "28", "ORG", "What So Not’s" ], "tail": [ "21", "22", "ORG", "Skrillex" ] } ], [ { "head": [ "24", "28", "ORG", "What So Not’s" ], "tail": [ "72", "73", "ORG", "Skrillex" ] } ], [ { "head": [ "24", "28", "ORG", "What So Not’s" ], "tail": [ "74", "76", "ORG", "RL Grime" ] } ], [ { "head": [ "24", "28", "ORG", "What So Not’s" ], "tail": [ "77", "80", "WORK_OF_ART", "What So Not" ] } ], [ { "head": [ "24", "28", "ORG", "What So Not’s" ], "tail": [ "90", "91", "WORK_OF_ART", "Waiting" ] } ], [ { "head": [ "24", "28", "ORG", "What So Not’s" ], "tail": [ "98", "99", "ORG", "Skrillex" ] } ], [ { "head": [ "24", "28", "ORG", "What So Not’s" ], "tail": [ "100", "103", "WORK_OF_ART", "What So Not" ] } ], [ { "head": [ "72", "73", "ORG", "Skrillex" ], "tail": [ "6", "8", "DATE", "this week" ] } ], [ { "head": [ "72", "73", "ORG", "Skrillex" ], "tail": [ "16", "17", "DATE", "Yesterday" ] } ], [ { "head": [ "72", "73", "ORG", "Skrillex" ], "tail": [ "18", "20", "PERSON", "RL Grime" ] } ], [ { "head": [ "72", "73", "ORG", "Skrillex" ], "tail": [ "21", "22", "ORG", "Skrillex" ] } ], [ { "head": [ "72", "73", "ORG", "Skrillex" ], "tail": [ "24", "28", "ORG", "What So Not’s" ] } ], [ { "head": [ "72", "73", "ORG", "Skrillex" ], "tail": [ "74", "76", "ORG", "RL Grime" ] } ], [ { "head": [ "72", "73", "ORG", "Skrillex" ], "tail": [ "77", "80", "WORK_OF_ART", "What So Not" ] } ], [ { "head": [ "72", "73", "ORG", "Skrillex" ], "tail": [ "90", "91", "WORK_OF_ART", "Waiting" ] } ], [ { "head": [ "72", "73", "ORG", "Skrillex" ], "tail": [ "98", "99", "ORG", "Skrillex" ] } ], [ { "head": [ "72", "73", "ORG", "Skrillex" ], "tail": [ "100", "103", "WORK_OF_ART", "What So Not" ] } ], [ { "head": [ "74", "76", "ORG", "RL Grime" ], "tail": [ "6", "8", "DATE", "this week" ] } ], [ { "head": [ "74", "76", "ORG", "RL Grime" ], "tail": [ "16", "17", "DATE", "Yesterday" ] } ], [ { "head": [ "74", "76", "ORG", "RL Grime" ], "tail": [ "18", "20", "PERSON", "RL Grime" ] } ], [ { "head": [ "74", "76", "ORG", "RL Grime" ], "tail": [ "21", "22", "ORG", "Skrillex" ] } ], [ { "head": [ "74", "76", "ORG", "RL Grime" ], "tail": [ "24", "28", "ORG", "What So Not’s" ] } ], [ { "head": [ "74", "76", "ORG", "RL Grime" ], "tail": [ "72", "73", "ORG", "Skrillex" ] } ], [ { "head": [ "74", "76", "ORG", "RL Grime" ], "tail": [ "77", "80", "WORK_OF_ART", "What So Not" ] } ], [ { "head": [ "74", "76", "ORG", "RL Grime" ], "tail": [ "90", "91", "WORK_OF_ART", "Waiting" ] } ], [ { "head": [ "74", "76", "ORG", "RL Grime" ], "tail": [ "98", "99", "ORG", "Skrillex" ] } ], [ { "head": [ "74", "76", "ORG", "RL Grime" ], "tail": [ "100", "103", "WORK_OF_ART", "What So Not" ] } ], [ { "head": [ "77", "80", "WORK_OF_ART", "What So Not" ], "tail": [ "18", "20", "PERSON", "RL Grime" ] } ], [ { "head": [ "77", "80", "WORK_OF_ART", "What So Not" ], "tail": [ "21", "22", "ORG", "Skrillex" ] } ], [ { "head": [ "77", "80", "WORK_OF_ART", "What So Not" ], "tail": [ "24", "28", "ORG", "What So Not’s" ] } ], [ { "head": [ "77", "80", "WORK_OF_ART", "What So Not" ], "tail": [ "72", "73", "ORG", "Skrillex" ] } ], [ { "head": [ "77", "80", "WORK_OF_ART", "What So Not" ], "tail": [ "74", "76", "ORG", "RL Grime" ] } ], [ { "head": [ "77", "80", "WORK_OF_ART", "What So Not" ], "tail": [ "98", "99", "ORG", "Skrillex" ] } ], [ { "head": [ "90", "91", "WORK_OF_ART", "Waiting" ], "tail": [ "18", "20", "PERSON", "RL Grime" ] } ], [ { "head": [ "90", "91", "WORK_OF_ART", "Waiting" ], "tail": [ "21", "22", "ORG", "Skrillex" ] } ], [ { "head": [ "90", "91", "WORK_OF_ART", "Waiting" ], "tail": [ "24", "28", "ORG", "What So Not’s" ] } ], [ { "head": [ "90", "91", "WORK_OF_ART", "Waiting" ], "tail": [ "72", "73", "ORG", "Skrillex" ] } ], [ { "head": [ "90", "91", "WORK_OF_ART", "Waiting" ], "tail": [ "74", "76", "ORG", "RL Grime" ] } ], [ { "head": [ "90", "91", "WORK_OF_ART", "Waiting" ], "tail": [ "98", "99", "ORG", "Skrillex" ] } ], [ { "head": [ "98", "99", "ORG", "Skrillex" ], "tail": [ "6", "8", "DATE", "this week" ] } ], [ { "head": [ "98", "99", "ORG", "Skrillex" ], "tail": [ "16", "17", "DATE", "Yesterday" ] } ], [ { "head": [ "98", "99", "ORG", "Skrillex" ], "tail": [ "18", "20", "PERSON", "RL Grime" ] } ], [ { "head": [ "98", "99", "ORG", "Skrillex" ], "tail": [ "21", "22", "ORG", "Skrillex" ] } ], [ { "head": [ "98", "99", "ORG", "Skrillex" ], "tail": [ "24", "28", "ORG", "What So Not’s" ] } ], [ { "head": [ "98", "99", "ORG", "Skrillex" ], "tail": [ "72", "73", "ORG", "Skrillex" ] } ], [ { "head": [ "98", "99", "ORG", "Skrillex" ], "tail": [ "74", "76", "ORG", "RL Grime" ] } ], [ { "head": [ "98", "99", "ORG", "Skrillex" ], "tail": [ "77", "80", "WORK_OF_ART", "What So Not" ] } ], [ { "head": [ "98", "99", "ORG", "Skrillex" ], "tail": [ "90", "91", "WORK_OF_ART", "Waiting" ] } ], [ { "head": [ "98", "99", "ORG", "Skrillex" ], "tail": [ "100", "103", "WORK_OF_ART", "What So Not" ] } ], [ { "head": [ "100", "103", "WORK_OF_ART", "What So Not" ], "tail": [ "18", "20", "PERSON", "RL Grime" ] } ], [ { "head": [ "100", "103", "WORK_OF_ART", "What So Not" ], "tail": [ "21", "22", "ORG", "Skrillex" ] } ], [ { "head": [ "100", "103", "WORK_OF_ART", "What So Not" ], "tail": [ "24", "28", "ORG", "What So Not’s" ] } ], [ { "head": [ "100", "103", "WORK_OF_ART", "What So Not" ], "tail": [ "72", "73", "ORG", "Skrillex" ] } ], [ { "head": [ "100", "103", "WORK_OF_ART", "What So Not" ], "tail": [ "74", "76", "ORG", "RL Grime" ] } ], [ { "head": [ "100", "103", "WORK_OF_ART", "What So Not" ], "tail": [ "98", "99", "ORG", "Skrillex" ] } ] ]
[ " PRODUCED_MUSIC_WITH", " RELEASED_MUSIC_BY", " BELONGS_TO", " RELEASED_BY", " PRODUCED_MUSIC_BY", " RELEASED_MUSIC_BY", " PERFORMED\n\n Explanation:\n The text mentions that \"Yes", " RELEASED_MUSIC_BY\n\n Explanation:\n The", " PRODUCED_BY", " RELEASED_BY", " PERFORMED\n\n Explanation:\n The text mentions that \"Yes", " PRODUCED_MUSIC_WITH", " EVENT_STARTS_WITH\n\n Explanation:\n The text mentions", " PERFORMED_ON\n\n Explanation:\n The text mentions that", " COLLABORATOR", " COLLABORATOR", " COLLABORATOR", " SELF_REFERENCE", " COLLABORATOR", " CREATED_BY", " COLLABORATOR", " COLLABORATOR", " BELONGS_TO\n\n Explanation:\n The text mentions", " RELEASED_ON.", " COLLABORATOR", " FEATURED_MUSICIAN", " SAME_ORG", " COLLABORATOR", " COLLABORATOR", " CREATED_WORK_OF_ART_FOR\n OR CREATED_FOR", " SAME_ORG", " COLLABORATOR", " BELONGS_TO\n\n Explanation:\n The text mentions", " RELEASED_ON.", " COLLABORATOR", " COLLABORATOR", " COLLABORATOR", " COLLABORATOR", " PRODUCT_OF\n\n Explanation:\n The text mentions \"What", " CREATED_BY", " COLLABORATOR", " PRODUCT_OF\n\n Explanation:\n The text mentions \"What", " RELEASED_IN.", " RELEASED_ON.", " COLLABORATOR", " SAME_ORGANIZATION", " FEATURED_IN", " COLLABORATOR", " COLLABORATOR", " CREATED_WORK", " SAME_ORG", " COLLABORATOR", " RELEASED_IN.", " RELEASED_ON.", " SELF_REFERENCE", " COLLABORATOR", " FEATURED_IN", " COLLABORATOR", " COLLABORATOR", " CREATED_BY", " COLLABORATOR", " COLLABORATOR", " COLLABORATOR", " COLLABORATOR", " PRODUCT_OF\n\n Explanation:\n The text mentions \"What", " COLLABORATOR", " COLLABORATOR", " COLLABORATOR", " CREATED_BY", " CREATED_BY", " CREATED_BY", " CREATED_BY", " CREATED_BY", " CREATED_BY", " BELONGS_TO\n\n Explanation:\n The text mentions", " RELEASED_ON.", " COLLABORATOR", " NO_RELATION", " FEATURED_IN", " SAME_ORG", " COLLABORATOR", " COLLABORATOR", " CREATED_WORK", " COLLABORATOR", " COLLABORATOR", " COLLABORATOR", " PRODUCT_OF\n\n Explanation:\n The text mentions \"What", " COLLABORATOR", " COLLABORATOR", " COLLABORATOR" ]
[ [ "6", "8", "DATE", "this week" ], [ "16", "17", "DATE", "Yesterday" ], [ "18", "20", "PERSON", "RL Grime" ], [ "21", "22", "ORG", "Skrillex" ], [ "24", "28", "ORG", "What So Not’s" ], [ "72", "73", "ORG", "Skrillex" ], [ "74", "76", "ORG", "RL Grime" ], [ "77", "80", "WORK_OF_ART", "What So Not" ], [ "90", "91", "WORK_OF_ART", "Waiting" ], [ "98", "99", "ORG", "Skrillex" ], [ "100", "103", "WORK_OF_ART", "What So Not" ] ]
663
665
[ "YOUR BUSINESS AUTHORITY\nArguments are scheduled to be heard by Judge Derek Ankrom on Feb. 14.\nThis item is for subscribers only.\nAccess exclusive local business news and insights\nAnnual and monthly subscriptions available\nAlready have a paid subscription? Sign in\nHaving trouble logging in to your subscription?\nGet help from our circulation team\nOther stories that may interest you\nElement Springfield South opened; Outlaw Gentlemen Barbershop added a second location; and wellness studio Stretch Zone launched.\nGlendale graduate named CEO of international nonprofit\nSouth-side Italian restaurant shutters\nFarmer's Wife marijuana company changes hands\nThe Digital Edition from SBJ\nJ.E. Dunn Construction appoints Midwest region president\nCrumbl Cookies pushes back Springfield opening a 2nd time\nSpringfield entrepreneur opening retro ballroom" ]
[ [ "YOUR", "BUSINESS", "AUTHORITY", "\n", "Arguments", "are", "scheduled", "to", "be", "heard", "by", "Judge", "Derek", "Ankrom", "on", "Feb.", "14", ".", "\n", "This", "item", "is", "for", "subscribers", "only", ".", "\n", "Access", "exclusive", "local", "business", "news", "and", "insights", "\n", "Annual", "and", "monthly", "subscriptions", "available", "\n", "Already", "have", "a", "paid", "subscription", "?", "Sign", "in", "\n", "Having", "trouble", "logging", "in", "to", "your", "subscription", "?", "\n", "Get", "help", "from", "our", "circulation", "team", "\n", "Other", "stories", "that", "may", "interest", "you", "\n", "Element", "Springfield", "South", "opened", ";", "Outlaw", "Gentlemen", "Barbershop", "added", "a", "second", "location", ";", "and", "wellness", "studio", "Stretch", "Zone", "launched", ".", "\n", "Glendale", "graduate", "named", "CEO", "of", "international", "nonprofit", "\n", "South", "-", "side", "Italian", "restaurant", "shutters", "\n", "Farmer", "'s", "Wife", "marijuana", "company", "changes", "hands", "\n", "The", "Digital", "Edition", "from", "SBJ", "\n", "J.E.", "Dunn", "Construction", "appoints", "Midwest", "region", "president", "\n", "Crumbl", "Cookies", "pushes", "back", "Springfield", "opening", "a", "2nd", "time", "\n", "Springfield", "entrepreneur", "opening", "retro", "ballroom" ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ["YOUR BUSINESS AUTHORITY\nArguments are scheduled to be heard by Judge Derek Ankrom on Feb. 14.\nThis item is for subscribers only.\nAccess exclusive local business news and insights\nAnnual and monthly subscriptions available\nAlready have a paid subscription? Sign in\nHaving trouble logging in to your subscription?\nGet help from our circulation team\nOther stories that may interest you\nElement Springfield South opened; Outlaw Gentlemen Barbershop added a second location; and wellness studio Stretch Zone launched.\nGlendale graduate named CEO of international nonprofit\nSouth-side Italian restaurant shutters\nFarmer's Wife marijuana company changes hands\nThe Digital Edition from SBJ\nJ.E. Dunn Construction appoints Midwest region president\nCrumbl Cookies pushes back Springfield opening a 2nd time\nSpringfield entrepreneur opening retro ballroom"] Entities: [{'head': ['12', '14', 'PERSON', 'Derek Ankrom'], 'tail': ['15', '17', 'DATE', 'Feb. 14']}] Relation:
[ [ { "head": [ "12", "14", "PERSON", "Derek Ankrom" ], "tail": [ "15", "17", "DATE", "Feb. 14" ] } ], [ { "head": [ "12", "14", "PERSON", "Derek Ankrom" ], "tail": [ "35", "36", "DATE", "Annual" ] } ], [ { "head": [ "12", "14", "PERSON", "Derek Ankrom" ], "tail": [ "37", "38", "DATE", "monthly" ] } ], [ { "head": [ "12", "14", "PERSON", "Derek Ankrom" ], "tail": [ "74", "76", "ORG", "Springfield South" ] } ], [ { "head": [ "12", "14", "PERSON", "Derek Ankrom" ], "tail": [ "78", "81", "ORG", "Outlaw Gentlemen Barbershop" ] } ], [ { "head": [ "12", "14", "PERSON", "Derek Ankrom" ], "tail": [ "83", "84", "ORDINAL", "second" ] } ], [ { "head": [ "12", "14", "PERSON", "Derek Ankrom" ], "tail": [ "89", "91", "ORG", "Stretch Zone" ] } ], [ { "head": [ "12", "14", "PERSON", "Derek Ankrom" ], "tail": [ "94", "95", "GPE", "Glendale" ] } ], [ { "head": [ "12", "14", "PERSON", "Derek Ankrom" ], "tail": [ "105", "106", "NORP", "Italian" ] } ], [ { "head": [ "12", "14", "PERSON", "Derek Ankrom" ], "tail": [ "109", "112", "ORG", "Farmer's Wife" ] } ], [ { "head": [ "12", "14", "PERSON", "Derek Ankrom" ], "tail": [ "121", "123", "ORG", "SBJ\n" ] } ], [ { "head": [ "12", "14", "PERSON", "Derek Ankrom" ], "tail": [ "123", "126", "ORG", "J.E. 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Dunn Construction" ] } ], [ { "head": [ "127", "128", "LOC", "Midwest" ], "tail": [ "131", "133", "PERSON", "Crumbl Cookies" ] } ], [ { "head": [ "127", "128", "LOC", "Midwest" ], "tail": [ "135", "136", "GPE", "Springfield" ] } ], [ { "head": [ "127", "128", "LOC", "Midwest" ], "tail": [ "138", "139", "ORDINAL", "2nd" ] } ], [ { "head": [ "127", "128", "LOC", "Midwest" ], "tail": [ "141", "142", "GPE", "Springfield" ] } ], [ { "head": [ "131", "133", "PERSON", "Crumbl Cookies" ], "tail": [ "12", "14", "PERSON", "Derek Ankrom" ] } ], [ { "head": [ "131", "133", "PERSON", "Crumbl Cookies" ], "tail": [ "15", "17", "DATE", "Feb. 14" ] } ], [ { "head": [ "131", "133", "PERSON", "Crumbl Cookies" ], "tail": [ "35", "36", "DATE", "Annual" ] } ], [ { "head": [ "131", "133", "PERSON", "Crumbl Cookies" ], "tail": [ "37", "38", "DATE", "monthly" ] } ], [ { "head": [ "131", "133", "PERSON", "Crumbl Cookies" ], "tail": [ "74", "76", "ORG", "Springfield South" ] } ], [ { "head": [ "131", "133", "PERSON", "Crumbl Cookies" ], "tail": [ "78", "81", "ORG", "Outlaw Gentlemen Barbershop" ] } ], [ { "head": [ "131", "133", "PERSON", "Crumbl Cookies" ], "tail": [ "83", "84", "ORDINAL", "second" ] } ], [ { "head": [ "131", "133", "PERSON", "Crumbl Cookies" ], "tail": [ "89", "91", "ORG", "Stretch Zone" ] } ], [ { "head": [ "131", "133", "PERSON", "Crumbl Cookies" ], "tail": [ "94", "95", "GPE", "Glendale" ] } ], [ { "head": [ "131", "133", "PERSON", "Crumbl Cookies" ], "tail": [ "105", "106", "NORP", "Italian" ] } ], [ { "head": [ "131", "133", "PERSON", "Crumbl Cookies" ], "tail": [ "109", "112", "ORG", "Farmer's Wife" ] } ], [ { "head": [ "131", "133", "PERSON", "Crumbl Cookies" ], "tail": [ "121", "123", "ORG", "SBJ\n" ] } ], [ { "head": [ "131", "133", "PERSON", "Crumbl Cookies" ], "tail": [ "123", "126", "ORG", "J.E. Dunn Construction" ] } ], [ { "head": [ "131", "133", "PERSON", "Crumbl Cookies" ], "tail": [ "127", "128", "LOC", "Midwest" ] } ], [ { "head": [ "131", "133", "PERSON", "Crumbl Cookies" ], "tail": [ "135", "136", "GPE", "Springfield" ] } ], [ { "head": [ "131", "133", "PERSON", "Crumbl Cookies" ], "tail": [ "138", "139", "ORDINAL", "2nd" ] } ], [ { "head": [ "131", "133", "PERSON", "Crumbl Cookies" ], "tail": [ "141", "142", "GPE", "Springfield" ] } ], [ { "head": [ "135", "136", "GPE", "Springfield" ], "tail": [ "12", "14", "PERSON", "Derek Ankrom" ] } ], [ { "head": [ "135", "136", "GPE", "Springfield" ], "tail": [ "15", "17", "DATE", "Feb. 14" ] } ], [ { "head": [ "135", "136", "GPE", "Springfield" ], "tail": [ "35", "36", "DATE", "Annual" ] } ], [ { "head": [ "135", "136", "GPE", "Springfield" ], "tail": [ "37", "38", "DATE", "monthly" ] } ], [ { "head": [ "135", "136", "GPE", "Springfield" ], "tail": [ "74", "76", "ORG", "Springfield South" ] } ], [ { "head": [ "135", "136", "GPE", "Springfield" ], "tail": [ "78", "81", "ORG", "Outlaw Gentlemen Barbershop" ] } ], [ { "head": [ "135", "136", "GPE", "Springfield" ], "tail": [ "83", "84", "ORDINAL", "second" ] } ], [ { "head": [ "135", "136", "GPE", "Springfield" ], "tail": [ "89", "91", "ORG", "Stretch Zone" ] } ], [ { "head": [ "135", "136", "GPE", "Springfield" ], "tail": [ "94", "95", "GPE", "Glendale" ] } ], [ { "head": [ "135", "136", "GPE", "Springfield" ], "tail": [ "105", "106", "NORP", "Italian" ] } ], [ { "head": [ "135", "136", "GPE", "Springfield" ], "tail": [ "109", "112", "ORG", "Farmer's Wife" ] } ], [ { "head": [ "135", "136", "GPE", "Springfield" ], "tail": [ "121", "123", "ORG", "SBJ\n" ] } ], [ { "head": [ "135", "136", "GPE", "Springfield" ], "tail": [ "123", "126", "ORG", "J.E. Dunn Construction" ] } ], [ { "head": [ "135", "136", "GPE", "Springfield" ], "tail": [ "127", "128", "LOC", "Midwest" ] } ], [ { "head": [ "135", "136", "GPE", "Springfield" ], "tail": [ "131", "133", "PERSON", "Crumbl Cookies" ] } ], [ { "head": [ "135", "136", "GPE", "Springfield" ], "tail": [ "138", "139", "ORDINAL", "2nd" ] } ], [ { "head": [ "135", "136", "GPE", "Springfield" ], "tail": [ "141", "142", "GPE", "Springfield" ] } ], [ { "head": [ "138", "139", "ORDINAL", "2nd" ], "tail": [ "12", "14", "PERSON", "Derek Ankrom" ] } ], [ { "head": [ "138", "139", "ORDINAL", "2nd" ], "tail": [ "74", "76", "ORG", "Springfield South" ] } ], [ { "head": [ "138", "139", "ORDINAL", "2nd" ], "tail": [ "78", "81", "ORG", "Outlaw Gentlemen Barbershop" ] } ], [ { "head": [ "138", "139", "ORDINAL", "2nd" ], "tail": [ "89", "91", "ORG", "Stretch Zone" ] } ], [ { "head": [ "138", "139", "ORDINAL", "2nd" ], "tail": [ "94", "95", "GPE", "Glendale" ] } ], [ { "head": [ "138", "139", "ORDINAL", "2nd" ], "tail": [ "109", "112", "ORG", "Farmer's Wife" ] } ], [ { "head": [ "138", "139", "ORDINAL", "2nd" ], "tail": [ "121", "123", "ORG", "SBJ\n" ] } ], [ { "head": [ "138", "139", "ORDINAL", "2nd" ], "tail": [ "123", "126", "ORG", "J.E. Dunn Construction" ] } ], [ { "head": [ "138", "139", "ORDINAL", "2nd" ], "tail": [ "127", "128", "LOC", "Midwest" ] } ], [ { "head": [ "138", "139", "ORDINAL", "2nd" ], "tail": [ "131", "133", "PERSON", "Crumbl Cookies" ] } ], [ { "head": [ "138", "139", "ORDINAL", "2nd" ], "tail": [ "135", "136", "GPE", "Springfield" ] } ], [ { "head": [ "138", "139", "ORDINAL", "2nd" ], "tail": [ "141", "142", "GPE", "Springfield" ] } ], [ { "head": [ "141", "142", "GPE", "Springfield" ], "tail": [ "12", "14", "PERSON", "Derek Ankrom" ] } ], [ { "head": [ "141", "142", "GPE", "Springfield" ], "tail": [ "15", "17", "DATE", "Feb. 14" ] } ], [ { "head": [ "141", "142", "GPE", "Springfield" ], "tail": [ "35", "36", "DATE", "Annual" ] } ], [ { "head": [ "141", "142", "GPE", "Springfield" ], "tail": [ "37", "38", "DATE", "monthly" ] } ], [ { "head": [ "141", "142", "GPE", "Springfield" ], "tail": [ "74", "76", "ORG", "Springfield South" ] } ], [ { "head": [ "141", "142", "GPE", "Springfield" ], "tail": [ "78", "81", "ORG", "Outlaw Gentlemen Barbershop" ] } ], [ { "head": [ "141", "142", "GPE", "Springfield" ], "tail": [ "83", "84", "ORDINAL", "second" ] } ], [ { "head": [ "141", "142", "GPE", "Springfield" ], "tail": [ "89", "91", "ORG", "Stretch Zone" ] } ], [ { "head": [ "141", "142", "GPE", "Springfield" ], "tail": [ "94", "95", "GPE", "Glendale" ] } ], [ { "head": [ "141", "142", "GPE", "Springfield" ], "tail": [ "105", "106", "NORP", "Italian" ] } ], [ { "head": [ "141", "142", "GPE", "Springfield" ], "tail": [ "109", "112", "ORG", "Farmer's Wife" ] } ], [ { "head": [ "141", "142", "GPE", "Springfield" ], "tail": [ "121", "123", "ORG", "SBJ\n" ] } ], [ { "head": [ "141", "142", "GPE", "Springfield" ], "tail": [ "123", "126", "ORG", "J.E. Dunn Construction" ] } ], [ { "head": [ "141", "142", "GPE", "Springfield" ], "tail": [ "127", "128", "LOC", "Midwest" ] } ], [ { "head": [ "141", "142", "GPE", "Springfield" ], "tail": [ "131", "133", "PERSON", "Crumbl Cookies" ] } ], [ { "head": [ "141", "142", "GPE", "Springfield" ], "tail": [ "135", "136", "GPE", "Springfield" ] } ], [ { "head": [ "141", "142", "GPE", "Springfield" ], "tail": [ "138", "139", "ORDINAL", "2nd" ] } ] ]
[ " HEARING_ON_DATE", " HEARS_ON\n\n Explanation:\n The text states that \"", " HEARS_ON\n\n Explanation:\n The text mentions that", " HEARS_CASE_AGAINST", " HEARS_CASE_AGAINST", " HEARS_CASE_ON\n or\n JUDGES_CASE\n", " HEARS_CASE\n\n Entities: \n [{'head': ['", " ARGUMENTS_HEARD_BY", " HEARS\n\n Explanation:\n The text mentions that arguments are", " HEARS_CASE", " HEARS_CASE_FROM", " ARGUMENTS_HEARD_BY", " HEARS_CASE_AT\n\n Explanation:\n The text ment", " ARGUMENTS_HEARD_BY", " HEARS_AT_LOCATION", " ARGUMENTS_HEARD_BY", " ARGUMENTS_HEARD_IN", " HEARS_CASE", " OPENED_ON", " ARGUMENT_HEARD_BY", " OPENED", " ARG_IN_COURT_IN\n\n Explanation:\n ", " ARGUMENT_HEARD_BY", " HEARING_ON_CASE", " ARGUMENTS_HEARD_BY", " ARGUMENTS_HEARD_BY\n\n Explanation:\n The", " ARGUMENT_HEARD_BY", " ARG_IN_LOCATION", " ARG_IN_LOCATION", " HEARING_DATE", " OPENED_ON", " OPENED", " OPENED", " GRADUATED_FROM", " CASE_HEARD_BY", " ARGUMENTS_HEARD_BY", " ARGUMENTS_HEARD_BY", " APPOINTS", " OPENING_DATE_FOR_ORGANIZATION", " SCHEDULED_FOR\n\n Explanation:\n The text mentions", " SCHEDULED_FOR", " HEARING_DATE", " OPENED_ON", " OPENED", " OPENED", " GRADUATED_FROM", " CHANGED_HANDS", " ARGUMENTS_HEARD_BY", " APPOINTS", " APPOINTS", " OPENING_DATE_OF_ENTITY", " SCHEDULED_FOR", " SCHEDULED_FOR", " HEARS_CASE_FROM", " OPENED_ON", " OPENED_ON\n\n Explanation:\n The text mentions that", " OPENED_ON\n\n Explanation:\n The text mentions that", " OPENED_BY", " OPENED_AT\n\n Explanation:\n The text mentions that", " OPENED_BY", " OPENED_IN", " SHUTTERS", " OPENED_BY", " OPENED_BY", " OPENED_BY", " OPENED_IN", " OPENED_BY", " LOCATED_IN", " OPENED\n\n Entities: \n [{'head': ['11", " OPENED_IN", " HEARS\n\n Explanation:\n The text mentions that arguments are", " HEARING_ON_DATE", " OPENED_AT_TIMES", " OPENED_MONTHLY", " OPENED_AT. In this context, \"opened\" implies a relationship of \"", " OPENED_AT\n\n Explanation:\n The text mentions that", " ADD_LOCATION", " LOCATED_IN", " ADDED_LOCATION", " SAME_ORGANIZATION", " OTHER_MENTIONED_IN. This relation indicates that the head entity is mentioned in the", " NO_RELATION", " LOCATION_IN. 'Midwest' is the location for 'Outlaw Gent", " ADDED_LOCATION", " OPENED_IN", " ADDS_LOCATION", " OPENED_IN", " HEARS\n\n Explanation:\n The text states that \"Arguments are", " OPENED_AT.\n\n Entities: \n [{'head':", " OPENED_AT. The 'second location' of 'Outlaw Gentlemen Bar", " LAUNCHED", " GRADUATED_FROM", " SECOND_LOCATION", " OPENED_BY", " APPOINTS", " APPOINTS", " OPENING_DELAYED", " OPENED_IN", " ARGUMENTS_HEARD_AT", " HEARS_CASE_FROM", " LAUNCHED_ON", " LAUNCHED", " LAUNCHED", " LAUNCHED", " LAUNCHED_BY", " LAUNCHED", " LAUNCHED_IN", " LAUNCHED", " LAUNCHED_BY", " LAUNCHED", " LAUNCHED_AFTER", " LAUNCHED_IN", " LAUNCHED_AFTER", " LAUNCHED", " LAUNCHED", " LAUNCHED", " JUDGE_OF", " SCHEDULED_ON", " GRADUATED_FROM", " GRADUATED_FROM", " OPENED_IN", " GLENDEALE_GRADUATE_OF_OUTLAW_GENTLE", " GLENDEALE_GRADUATE_IS_CEO_OF_SECOND", " OPENED", " GRADUATED_FROM", " LOCATION_OF", " GLENDEALE_GRADUATE_NAMED_CEO_OF_SB", " 'LOCATION_OF'", " APPOINTS", " OPENED_BY", " GRADUATED_FROM", " GLENDEALE_GRADUATE_2ND_CEO", " LOCATION_IN. 'Glendale' is the location_in 'Springfield", " JUDGES_HEARS_CASE", " SHUTTERS", " OPENED_BY", " LAUNCHED", " GRAD_FROM", " 'OWNER'", " SHUTTERS", " NO_RELATION", " The Italian restaurant is located in the Midwest.", " SHUTTERS", " CLOSED_IN_LOCATION", " SHUTTERS_IN_LOCATION", " HEARS_CASE_FROM", " CASE_HEARD_ON", " CHANGED_OWNERSHIP_ANNUALLY", " CHANGED_HANDS_MONTHLY", " OPENED_AT\n\n Explanation:\n The text mentions that", " SOLD_TO", " CHANGES_HANDS_AT\n\n Explanation:\n The text", " CHANGED_HANDS", " LOCATED_IN", " CHANGED_HANDS\n\n Explanation:\n The text mentions", " CHANGES_OWNERSHIP", " CHANGES_HANDS", " LOCATION_IN. 'Midwest' is located in 'Farmer'", " CHANGES_HANDS", " LOCATED_IN", " CHANGES_HANDS_AT\n\n Explanation:\n The text", " LOCATED_IN", " HEARS_CASE_FROM", " HEARING_ON_DATE", " ARGUMENT_SCHEDULED_ON", " ARGUMENT_SCHEDULED_ON", " OPENED", " OPENED_BY", " OPENED_AT\n\n Explanation:\n The text mentions that", " LAUNCHED", " GRAD_FROM", " SHUTTERS", " CHANGES_HANDS", " APPOINTS", " APPOINTS", " OPENING_OF", " LOCATION_IN.", " OPENING_AT_TIME", " ARGUMENTS_HEARD_IN", " APPOINTS", " ARG_1_HAS_EVENT\n OR\n EVENT_IS_FOR_", " APPOINTS", " APPOINTS", " APPOINTS", " APPOINTED_BY", " APPOINTS", " APPOINTED_BY", " J_E_Dunn_Construction_is_located_in_Glend", " APPOINTS", " APPOINTED_BY", " APPOINTS", " APPOINTS\n\n Entities: \n [{'head': ['12", " APPOINTS", " APPOINTS_IN_LOCATION", " APPOINTS", " APPOINTS_IN_LOCATION", " HEARS\n\n Explanation:\n The text mentions that arguments are", " HEARING_ON_DATE", " APPOINTS", " APPOINTS", " OPENED_IN", " LOCATION_OF", " APPOINTS", " LAUNCHED", " LOCATION_IN. 'Glendale' is located in the 'Midwest", " REGION_OF\n\n Explanation:\n The text mentions that J", " LOCATION_IN\n\n Explanation:\n The text mentions that", " APPOINTS", " APPOINTS", " APPOINTS", " REGION_IN\n\n Explanation:\n The text mentions \"J", " APPOINTS", " APPOINTS_TO\n\n Explanation:\n The text mentions that", " ARGUMENTS_HEARD_BY", " OPENING_ON\n\n Explanation:\n The text mentions that", " OPENS_ON\n\n Explanation:\n The text mentions that Cr", " OPENS_ON\n\n Explanation:\n The text mentions that \"", " OPENS_AT\n\n Explanation:\n The text mentions that \"", " OPPOSED_BY", " PUSHES_BACK_OPENING_SECOND_TIME", " OPENED_BY", " OPENED_IN", " OPENED_BY", " CHANGES_HANDS", " OPENED_BY", " APPOINTS", " APPOINTS_REGION_PRESIDENT", " OPENING_IN", " PUSHES_BACK_OPENING_A_SECOND_TIME", " OPENS_IN", " HEARS_CASE_FROM", " HEARING_ON_DATE", " LOCATION_OF\n or\n HOSTS\n\n Explanation", " OPENED_ON", " LOCATED_IN", " LOCATED_IN", " OPENED_AT\n\n Explanation:\n The text mentions that", " LAUNCHED", " LOCATION_IN\n\n Explanation:\n The text mentions that", " SHUTTERS", " LOCATED_IN", " LOCATION_OF\n or\n PUBLISHER_OF\n ", " LOCATION_OF", " APPOINTS\n\n Explanation:\n The text mentions that J.", " OPENING_AT\n\n Explanation:\n The text mentions that", " OPENING_AT_TIME", " LOCATION_IN. \n\n Explanation:\n The text ment", " HEARS\n\n Explanation:\n The text states that \"Arguments are", " OPENED_BY", " OPENED_AT. The 'head' entity represents the time when the 'tail'", " LAUNCHED", " OPENED_IN", " CHANGES_HANDS", " PRECEDES", " OPENED_BY", " APPOINTS", " OPENING_DELAYED", " OPENING_AT.", " OPENING_IN.", " HEARS_CASE_FROM", " DISCOURSE_EVENT_DATE", " SCHEDULED_ON", " ARGUMENT_SCHEDULED_ON", " OPENED_AT", " OPENED_AT. In this context, \"This item is for subscribers only", " The arguments are scheduled to be heard on the second.", " LAUNCHED", " LOCATION_IN. \n\n Explanation:\n The text ment", " SHUTTERS", " LOCATED_IN", " ARGUMENTS_HEARD_BY", " The arguments are scheduled to be heard by Judge Derek Ankrom in Springfield.\n", " APPOINTS\n\n Explanation:\n The text mentions that J.", " OPENING_AT\n\n Explanation:\n The text mentions that", " arguments_are_scheduled_to_be_heard_in", " OPENING_ON\n\n Explanation:\n The text mentions that" ]
[ [ "12", "14", "PERSON", "Derek Ankrom" ], [ "15", "17", "DATE", "Feb. 14" ], [ "35", "36", "DATE", "Annual" ], [ "37", "38", "DATE", "monthly" ], [ "74", "76", "ORG", "Springfield South" ], [ "78", "81", "ORG", "Outlaw Gentlemen Barbershop" ], [ "83", "84", "ORDINAL", "second" ], [ "89", "91", "ORG", "Stretch Zone" ], [ "94", "95", "GPE", "Glendale" ], [ "105", "106", "NORP", "Italian" ], [ "109", "112", "ORG", "Farmer's Wife" ], [ "121", "123", "ORG", "SBJ\n" ], [ "123", "126", "ORG", "J.E. Dunn Construction" ], [ "127", "128", "LOC", "Midwest" ], [ "131", "133", "PERSON", "Crumbl Cookies" ], [ "135", "136", "GPE", "Springfield" ], [ "138", "139", "ORDINAL", "2nd" ], [ "141", "142", "GPE", "Springfield" ] ]
664
666
[ "PHOTOGRAPHER SCOTT KRYCIA WINS AWARD\nOne Eye Land Photography Awards - Black & White\nOne EyeLand is an annual competition for photographers on a global scale, creating one of the most ambitious and comprehensive competitions in the photography world today.\nKrycia’s moody Black & White photography titled Rhyolite, won a bronze in the Landscape Category.\nKrycia's image is series of 300 frames stacked into a 'Star Trails' shot of the old hotel. The image was shot in January 2022.\nRhyolite is a ghost town in Nye County, in the U.S. state of Nevada. It is in the Bullfrog Hills, about 120 miles northwest of Las Vegas, near the eastern boundary of Death Valley National Park." ]
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mistralai/Mistral-7B-Instruct-v0.2
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"109", "GPE", "Nevada" ] } ], [ { "head": [ "122", "124", "GPE", "Las Vegas" ], "tail": [ "113", "116", "LOC", "the Bullfrog Hills" ] } ], [ { "head": [ "122", "124", "GPE", "Las Vegas" ], "tail": [ "117", "119", "CARDINAL", "about 120" ] } ], [ { "head": [ "122", "124", "GPE", "Las Vegas" ], "tail": [ "130", "134", "LOC", "Death Valley National Park" ] } ], [ { "head": [ "130", "134", "LOC", "Death Valley National Park" ], "tail": [ "1", "3", "PERSON", "SCOTT KRYCIA" ] } ], [ { "head": [ "130", "134", "LOC", "Death Valley National Park" ], "tail": [ "4", "6", "WORK_OF_ART", "AWARD\n" ] } ], [ { "head": [ "130", "134", "LOC", "Death Valley National Park" ], "tail": [ "6", "11", "WORK_OF_ART", "One Eye Land Photography Awards" ] } ], [ { "head": [ "130", "134", "LOC", "Death Valley National Park" ], "tail": [ "12", "15", "ORG", "Black & White" ] } ], [ { "head": [ "130", "134", "LOC", "Death Valley National Park" ], "tail": [ "20", "21", "DATE", "annual" ] } ], [ { "head": [ "130", "134", "LOC", "Death Valley National Park" ], "tail": [ "42", "43", "DATE", "today" ] } ], [ { "head": [ "130", "134", "LOC", "Death Valley National Park" ], "tail": [ "45", "46", "PERSON", "Krycia" ] } ], [ { "head": [ "130", "134", "LOC", "Death Valley National Park" ], "tail": [ "48", "51", "WORK_OF_ART", "Black & White" ] } ], [ { "head": [ "130", "134", "LOC", "Death Valley National Park" ], "tail": [ "53", "54", "WORK_OF_ART", "Rhyolite" ] } ], [ { "head": [ "130", "134", "LOC", "Death Valley National Park" ], "tail": [ "64", "65", "PERSON", "Krycia" ] } ], [ { "head": [ "130", "134", "LOC", "Death Valley National Park" ], "tail": [ "70", "71", "CARDINAL", "300" ] } ], [ { "head": [ "130", "134", "LOC", "Death Valley National Park" ], "tail": [ "76", "78", "WORK_OF_ART", "Star Trails" ] } ], [ { "head": [ "130", "134", "LOC", "Death Valley National Park" ], "tail": [ "90", "92", "DATE", "January 2022" ] } ], [ { "head": [ "130", "134", "LOC", "Death Valley National Park" ], "tail": [ "94", "95", "GPE", "Rhyolite" ] } ], [ { "head": [ "130", "134", "LOC", "Death Valley National Park" ], "tail": [ "100", "102", "GPE", "Nye County" ] } ], [ { "head": [ "130", "134", "LOC", "Death Valley National Park" ], "tail": [ "105", "106", "GPE", "U.S." ] } ], [ { "head": [ "130", "134", "LOC", "Death Valley National Park" ], "tail": [ "108", "109", "GPE", "Nevada" ] } ], [ { "head": [ "130", "134", "LOC", "Death Valley National Park" ], "tail": [ "113", "116", "LOC", "the Bullfrog Hills" ] } ], [ { "head": [ "130", "134", "LOC", "Death Valley National Park" ], "tail": [ "117", "119", "CARDINAL", "about 120" ] } ], [ { "head": [ "130", "134", "LOC", "Death Valley National Park" ], "tail": [ "122", "124", "GPE", "Las Vegas" ] } ] ]
[ " WON_AWARD", " WON_AWARD", " WIN_AWARD", " One EyeLand_is_an_annual_competition_for_photograph", " NO_RELATION", " SAME_AS", " CREATED_BY", " CREATED_BY", " SAME_AS", " TAKEN_PHOTO_OF\n\n Explanation:\n The", " CREATED_BY", " PHOTOGRAPHED_ON", " TAKEN_PHOTO_OF", " LOCATION_OF", " LOCATION_OF\n\n Explanation:\n The text states that \"", " LOCATION_OF", " LOCATION_OF", " LOCATION_NEAR.", " NEAR_CITY", " NEAR.", " WIN_AWARD", " WON_AWARD", " WIN_AWARD", " CREATED_AWARD\n\n Explanation:\n The text states", " CREATED_IN", " LOCATION_OF", " LOCATION_OF\n\n Explanation:\n The text states that R", " LOCATION_OF", " LOCATION_OF", " LOCATION_OF\n\n Explanation:\n The text states that \"", " LOCATION_OF", " WIN_AWARD", " HOSTED_BY", " WIN_AWARD", " WON_AWARD", " AWARDED_AT\n\n Explanation:\n The text states that \"", " LOCATION_OF.", " HOSTED_IN", " LOCATION_OF\n\n Explanation:\n The text states that \"", " HOSTED_IN", " LOCATION_OF\n\n Explanation:\n The text states that \"", " HOSTED_AT", " WINNER_OF\n\n Explanation:\n The text states that \"S", " CATEGORY_WINNER", " HOSTED_BY", " ANNUAL_EVENT_HAS_TIME\n\n Entities: \n [", " ANNUAL_EVENT_OCCURS_ON\n\n Entities: ", " WINNER_OF\n\n Explanation:\n The text states that \"K", " CATEGORY_WINNER", " CATEGORY_WINNER", " WINNER_OF\n\n Explanation:\n The text states that \"K", " NUMBER_OF_FRAMES", " CATEGORY_WINNER", " TEMP_EVENT_STARTED\n\n Entities: \n [{'head", " LOCATION_OF", " LOCATION_OF", " LOCATION_IN.", " LOCATION.\n\n Explanation:\n The text states that \"R", " LOCATION_OF\n\n Explanation:\n The text states that \"", " LOCATION_NEAR.", " NEAR_CITY", " NEAR.", " WIN\n\n Entities: \n [{'head': ['One EyeLand'],", " ANNUAL_EVENT_CATEGORY", " WIN_AWARD", " WIN\n\n Entities: \n [{'head': ['64', '", " LOCATION_OF\n\n Explanation:\n The text states that R", " LOCATION_OF\n\n Explanation:\n The text states that \"", " ANNUAL_IN_COUNTRY", " LOCATION_OF\n\n Explanation:\n The text states that \"", " LOCATION_NEAR.", " NO_RELATION.", " NEAR.", " NO_RELATION", " COMPETITION_WON\n\n Entities: \n [{'head", " NO_RELATION", " NO_RELATION", " LOCATION_OF\n or\n NO_RELATION (if 'Rhy", " LOCATION_OF", " LOCATION_IN.", " LOCATION_OF\n\n Explanation:\n The text states that \"", " LOCATION_NEARBY", " NO_RELATION.", " NEAR_LOCATION", " 'WIN'", " WIN\n\n Entities: \n [{'head': ['4', '6", " WIN_AWARD", " WIN_AWARD", " ANNUAL_EVENT_HAS_START_DATE", " NO_RELATION", " CREATED_BY", " CREATED_BY", " SELF_REFERENCE", " TAKEN_PHOTO_OF\n\n Explanation:\n The", " CREATED_BY", " Took_Place_On", " TAKEN_AT_LOCATION", " LOCATION_OF", " LOCATION_OF\n\n Explanation:\n The text states that K", " LOCATION_OF", " LOCATION_OF", " LOCATION_DISTANCE", " NEAR_CITY", " NEAR_LOCATION", " CREATED_BY", " WIN_AWARD", " CREATED_BY", " CREATED_BY", " CREATED_IN", " LOCATION_OF", " LOCATION_OF. (The work of art is located in the country.)", " LOCATION_OF", " LOCATION_OF", " LOCATION_OF. (The work of art is located in Las Vegas.)", " LOCATION_OF", " CREATED_BY", " WON_AWARD_IN", " CREATED_BY", " CREATED_BY", " LOCATION_OF", " LOCATION_OF", " LOCATION_OF. (The work of art Rhyolite is located in the", " LOCATION_OF", " LOCATION_OF", " LOCATION_OF\n\n Explanation:\n The text states that R", " LOCATION_OF", " WIN\n\n Entities: \n [{'head': ['1', '3", " WIN\n\n Entities: \n [{'head': ['4', '6", " WIN_AWARD", " WIN_AWARD", " ANNUAL_EVENT_STARTS_YEAR", " NO_RELATION", " SELF_REFERENCE", " CREATED_BY", " CREATED_BY", " TAKEN_PHOTO_OF\n\n Explanation:\n The", " CREATED_BY", " PHOTOGRAPHED_ON", " TAKEN_PHOTO_OF", " LOCATION_OF", " LOCATION_OF\n\n Explanation:\n The text states that K", " LOCATION_OF", " LOCATION_OF", " LOCATION_NEAR.", " NEAR_CITY", " NEAR_LOCATION", " TAKEN_PHOTO_OF", " WIN\n\n Entities: \n [{'head': ['Scott Kry", " TAKEN_PHOTO_OF", " TAKEN_PHOTO_OF", " TAKEN_AT_LOCATION", " LOCATION_OF", " LOCATION_OF\n\n Explanation:\n The text states that R", " LOCATION_OF", " LOCATION_OF", " NEAR_CITY", " NEAR.", " CREATED_BY", " WON_AWARD_IN", " CREATED_BY", " CREATED_BY", " CREATED_IN", " LOCATION_OF", " LOCATION_OF\n\n Explanation:\n The text states that \"", " LOCATION_OF", " LOCATION_OF", " LOCATION_OF\n\n Explanation:\n The text states that \"", " LOCATION_OF", " PHOTOGRAPHED_ON", " AWARDED_BY", " PHOTOGRAPHED_ON", " PHOTOGRAPHED_ON", " PHOTOGRAPHED_AT", " LOCATION_OF\n\n Explanation:\n The text states that \"", " EVENT_LOCATION", " LOCATION_OF\n\n Explanation:\n The text states that the", " THE_EVENT_TOOK_PLACE_AT\n\n Explanation:\n", " EVENT_LOCATION", " IMAGE_TAKEN_AT_LOCATION", " LOCATION_OF\n OR\n PHOTOGRAPHED_AT\n", " LOCATION_OF\n OR\n PRODUCED_AT\n\n ", " WIN_AWARD", " WIN_AWARD_IN\n\n Explanation:\n The text states", " LOCATION_OF\n OR\n HOST_OF\n OR\n ", " LOCATION_TIME\n\n Explanation:\n The text states that R", " LOCATION_OF\n or\n PHOTO_TAKEN_AT\n", " LOCATION_OF\n OR\n SUBJECT_OF\n OR\n ", " WORK_OF_ART_IS_LOCATED_IN\n or\n LO", " LOCATION_OF\n or\n PHOTO_TAKEN_AT\n", " SUBJECT_OF_WORK_FOR_PHOTOGRAPHER", " LOCATION_OF\n or\n SUBJECT_OF\n or\n ", " LOCATION_TIME", " LOCATED_IN", " LOCATED_IN", " LOCATION_IN\n\n Explanation:\n The text states that R", " LOCATION_NEARS\n\n Explanation:\n The text states", " LOCATION_NEAR.", " NEAR_CITY", " NEAR.", " LOCATED_IN", " LOCATION_OF\n\n Explanation:\n The text states that N", " LOCATION_OF\n\n Explanation:\n The text states that N", " LOCATION_OF\n\n Explanation:\n The text states that N", " LOCATION_OF\n\n Explanation:\n The text states that N", " LOCATION_NEAR\n\n Explanation:\n The text mentions", " LOCATION_OF", " LOCATION_OF\n OR\n BELONGS_TO\n\n ", " LOCATION_OF", " LOCATION_OF", " NEAR.", " LOCATION_OF\n or\n PRODUCED_AT\n\n ", " LOCATION_TIME", " LOCATION_OF", " LOCATED_IN", " LOCATION_IN\n\n Explanation:\n The text states that N", " LOCATION_IN\n\n Explanation:\n The text states that N", " NEAR.", " NEAR_CITY", " NEAR.", " LOCATION_OF.", " LOCATION_OF\n\n Explanation:\n The text states that R", " HOSTED_BY", " HOST_THEME\n\n Explanation:\n The text mentions that", " ANNUAL_EVENT_IN_LOCATION", " NO_RELATION", " LOCATION_OF\n\n Explanation:\n The text states that K", " LOCATION_OF\n or\n PRODUCED_AT\n\n ", " LOCATION_OF", " LOCATION_OF. (The location is where the photographer is from or based.)", " NEAR_LOCATION", " LOCATION_OF\n\n Explanation:\n The text states that R", " EVENT_DATE", " LOCATION_IN.", " LOCATION_IN.", " LOCATION_IN.", " LOCATION_IN.", " NEAR.", " NEAR.", " NEAR.", " LOCATION_OF", " LOCATION_OF.", " HOSTED_BY", " LOCATION_OF\n OR LOCATED_IN (both are valid)", " LOCATION_OF\n OR\n HOST_OF\n\n [{'", " LOCATION_NEAR\n\n Explanation:\n The text mentions", " LOCATION_OF", " LOCATION_OF\n\n Explanation:\n The text states that \"", " LOCATION_OF", " LOCATION_OF", " LOCATION_OF\n Or\n NO_RELATION\n\n Explan", " LOCATION_OF\n\n Explanation:\n The text states that R", " LOCATION_IN\n\n Explanation:\n The text states that R", " LOCATION_IN.", " LOCATION_IN.", " LOCATION_IN\n\n Explanation:\n The text states that R", " LOCATION_IN.", " NEAR.", " NEAR_CITY", " NEAR.", " LOCATION_OF", " LOCATION_OF\n\n Explanation:\n The text states that \"", " LOCATION_OF\n OR\n HOSTED_AT\n\n The", " LOCATION_OF\n\n [{'head': ['113', '1", " LOCATION_OF\n OR\n HOSTED_AT\n\n [", " LOCATION_NEAR\n\n Explanation:\n The text mentions", " LOCATION_OF", " LOCATION_OF\n\n [{'head': ['48', '51", " LOCATION_OF", " LOCATION_OF", " LOCATION_NEAR\n\n Explanation:\n The text states that", " LOCATION_OF\n Or\n LOCATION_WAS_PHOT", " LOCATION_AT_TIME", " LOCATION_OF", " LOCATION_IN.\n This relation indicates that the Bullfrog Hills is a", " LOCATED_IN", " LOCATION_IN.", " LOCATION_NEARBY", " NEAR_CITY", " NEAR_BY", " LOCATED_IN", " LOCATION_NEAR. This is because the location is near the competition, not the", " LOCATION_NEAR.", " LOCATION_NEAR.", " LOCATION_NEAR.", " LOCATION_OF", " NEAR_LOCATION", " NEAR.", " LOCATION_NEAR.", " APPROXIMATE_LOCATION", " NEAR.", " NEAR_CITY", " NEAR_LOCATION", " NEAR_LOCATION", " NEAR_CITY", " NO_RELATION", " NO_RELATION", " NEAR_CITY", " NEAR_LOCATION", " NEAR_LOCATION", " NEAR_CITY", " NEAR_CITY", " NEAR_LOCATION", " LOCATION_NEAR\n\n Explanation:\n The text mentions", " NEAR_CITY", " NEAR_LOCATION", " NO_RELATION. The text does not provide enough context to determine a relation between 'L", " NEAR_LOCATION", " NEAR_LOCATION", " DISTANCE", " NEARBY", " NEAR.", " NEAR_LOCATION", " LOCATION_OF\n OR\n HOST_OF\n OR\n ", " NEAR_LOCATION", " HOST_OF", " NEAR_LOCATION", " NEAR.", " NEAR_LOCATION", " NEAR.", " NEAR.", " NEAR.", " NEAR. This text does not provide enough context to determine a specific relation between the entities,", " NEAR_LOCATION", " NEAR_BY", " NEAR_BY", " NEAR_LOCATION", " NEAR_BY", " NEARBY", " NEAR.", " NEARBY" ]
[ [ "1", "3", "PERSON", "SCOTT KRYCIA" ], [ "4", "6", "WORK_OF_ART", "AWARD\n" ], [ "6", "11", "WORK_OF_ART", "One Eye Land Photography Awards" ], [ "12", "15", "ORG", "Black & White" ], [ "20", "21", "DATE", "annual" ], [ "42", "43", "DATE", "today" ], [ "45", "46", "PERSON", "Krycia" ], [ "48", "51", "WORK_OF_ART", "Black & White" ], [ "53", "54", "WORK_OF_ART", "Rhyolite" ], [ "64", "65", "PERSON", "Krycia" ], [ "70", "71", "CARDINAL", "300" ], [ "76", "78", "WORK_OF_ART", "Star Trails" ], [ "90", "92", "DATE", "January 2022" ], [ "94", "95", "GPE", "Rhyolite" ], [ "100", "102", "GPE", "Nye County" ], [ "105", "106", "GPE", "U.S." ], [ "108", "109", "GPE", "Nevada" ], [ "113", "116", "LOC", "the Bullfrog Hills" ], [ "117", "119", "CARDINAL", "about 120" ], [ "122", "124", "GPE", "Las Vegas" ], [ "130", "134", "LOC", "Death Valley National Park" ] ]
665
667
[ "I love a party and I am always delighted to be invited to capture a celebration particularly when it involves taking photographs of gorgeous, fun loving people enjoying themselves, having a fabulous time and I get to get onto the dance floor with my cameras!\nEach celebration and story is unique. This gorgeous lady, Thea, celebrated her 21st birthday in style with a themed “Back to the Future” party in a stunning teepee tent in Yorkshire. The main theme to have been adopted was Indian in flavour which created a wonderful colourful backdrop to capture.\nI love my work!\nIf you are planning a celebration and looking for a photographer please contact the studio on 020 8748 1988 or email firstname.lastname@example.org if you would like any further information." ]
[ [ "I", "love", "a", "party", "and", "I", "am", "always", "delighted", "to", "be", "invited", "to", "capture", "a", "celebration", "particularly", "when", "it", "involves", "taking", "photographs", "of", "gorgeous", ",", "fun", "loving", "people", "enjoying", "themselves", ",", "having", "a", "fabulous", "time", "and", "I", "get", "to", "get", "onto", "the", "dance", "floor", "with", "my", "cameras", "!", "\n", "Each", "celebration", "and", "story", "is", "unique", ".", "This", "gorgeous", "lady", ",", "Thea", ",", "celebrated", "her", "21st", "birthday", "in", "style", "with", "a", "themed", "“", "Back", "to", "the", "Future", "”", "party", "in", "a", "stunning", "teepee", "tent", "in", "Yorkshire", ".", "The", "main", "theme", "to", "have", "been", "adopted", "was", "Indian", "in", "flavour", "which", "created", "a", "wonderful", "colourful", "backdrop", "to", "capture", ".", "\n", "I", "love", "my", "work", "!", "\n", "If", "you", "are", "planning", "a", "celebration", "and", "looking", "for", "a", "photographer", "please", "contact", "the", "studio", "on", "020", "8748", "1988", "or", "email", "firstname.lastname@example.org", "if", "you", "would", "like", "any", "further", "information", "." ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['I love a party and I am always delighted to be invited to capture a celebration particularly when it involves taking photographs of gorgeous, fun loving people enjoying themselves, having a fabulous time and I get to get onto the dance floor with my cameras!\nEach celebration and story is unique. This gorgeous lady, Thea, celebrated her 21st birthday in style with a themed “Back to the Future” party in a stunning teepee tent in Yorkshire. The main theme to have been adopted was Indian in flavour which created a wonderful colourful backdrop to capture.\nI love my work!\nIf you are planning a celebration and looking for a photographer please contact the studio on 020 8748 1988 or email firstname.lastname@example.org if you would like any further information.'] Entities: [{'head': ['60', '61', 'PERSON', 'Thea'], 'tail': ['64', '65', 'ORDINAL', '21st']}] Relation:
[ [ { "head": [ "60", "61", "PERSON", "Thea" ], "tail": [ "64", "65", "ORDINAL", "21st" ] } ], [ { "head": [ "60", "61", "PERSON", "Thea" ], "tail": [ "84", "85", "GPE", "Yorkshire" ] } ], [ { "head": [ "60", "61", "PERSON", "Thea" ], "tail": [ "94", "95", "NORP", "Indian" ] } ], [ { "head": [ "64", "65", "ORDINAL", "21st" ], "tail": [ "60", "61", "PERSON", "Thea" ] } ], [ { "head": [ "64", "65", "ORDINAL", "21st" ], "tail": [ "84", "85", "GPE", "Yorkshire" ] } ], [ { "head": [ "84", "85", "GPE", "Yorkshire" ], "tail": [ "60", "61", "PERSON", "Thea" ] } ], [ { "head": [ "84", "85", "GPE", "Yorkshire" ], "tail": [ "64", "65", "ORDINAL", "21st" ] } ], [ { "head": [ "84", "85", "GPE", "Yorkshire" ], "tail": [ "94", "95", "NORP", "Indian" ] } ], [ { "head": [ "94", "95", "NORP", "Indian" ], "tail": [ "60", "61", "PERSON", "Thea" ] } ], [ { "head": [ "94", "95", "NORP", "Indian" ], "tail": [ "84", "85", "GPE", "Yorkshire" ] } ] ]
[ " BIRTHDAY", " CELEBRATED_IN", " THEME_OF", " CELEBRATED_BY", " CELEBRATED_IN", " CELEBRATED_IN", " THEME_OF\n\n Explanation:\n The text mentions that \"", " THEME_OF", " THEME_OF", " THEME_OF\n\n Explanation:\n The text mentions that the" ]
[ [ "60", "61", "PERSON", "Thea" ], [ "64", "65", "ORDINAL", "21st" ], [ "84", "85", "GPE", "Yorkshire" ], [ "94", "95", "NORP", "Indian" ] ]
666
668
[ "GUEST BIO and LINKS\nI am Robert Black and you are listening to Sexual Heroes. Paul Rosenberg is a writer, production designer, singer and community organizer in Seattle, Washington.\nIn 2005, Paul founded Rain City Jacks.The club’s mission is to \"promote and facilitate group masturbation for adult men, expand our individual sexual awareness, celebrate the basic goodness of our sexual impulse, and build a culture of mutual respect and dignity among our fellows.\"\nPaul hosts The Heart of Jacks podcast, and he is writing a similarly titled book. Both the podcast and the book explore and celebrate masturbation and the history of jack-off clubs, a little-known and little-understood thread running through the fabric of Western culture almost completely unseen.\nThe Heart of Jacks podcast on Apple Podcasts\nOne link to find them all:" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['GUEST BIO and LINKS\nI am Robert Black and you are listening to Sexual Heroes. Paul Rosenberg is a writer, production designer, singer and community organizer in Seattle, Washington.\nIn 2005, Paul founded Rain City Jacks.The club’s mission is to "promote and facilitate group masturbation for adult men, expand our individual sexual awareness, celebrate the basic goodness of our sexual impulse, and build a culture of mutual respect and dignity among our fellows."\nPaul hosts The Heart of Jacks podcast, and he is writing a similarly titled book. Both the podcast and the book explore and celebrate masturbation and the history of jack-off clubs, a little-known and little-understood thread running through the fabric of Western culture almost completely unseen.\nThe Heart of Jacks podcast on Apple Podcasts\nOne link to find them all:'] Entities: [{'head': ['7', '9', 'PERSON', 'Robert Black'], 'tail': ['14', '16', 'ORG', 'Sexual Heroes']}] Relation:
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"2005" ] } ], [ { "head": [ "154", "155", "ORG", "Apple" ], "tail": [ "39", "40", "PERSON", "Paul" ] } ], [ { "head": [ "154", "155", "ORG", "Apple" ], "tail": [ "41", "44", "ORG", "Rain City Jacks" ] } ], [ { "head": [ "154", "155", "ORG", "Apple" ], "tail": [ "91", "92", "PERSON", "Paul" ] } ], [ { "head": [ "154", "155", "ORG", "Apple" ], "tail": [ "93", "97", "WORK_OF_ART", "The Heart of Jacks" ] } ], [ { "head": [ "154", "155", "ORG", "Apple" ], "tail": [ "141", "142", "NORP", "Western" ] } ], [ { "head": [ "154", "155", "ORG", "Apple" ], "tail": [ "157", "158", "CARDINAL", "One" ] } ], [ { "head": [ "157", "158", "CARDINAL", "One" ], "tail": [ "7", "9", "PERSON", "Robert Black" ] } ], [ { "head": [ "157", "158", "CARDINAL", "One" ], "tail": [ "14", "16", "ORG", "Sexual Heroes" ] } ], [ { "head": [ "157", "158", "CARDINAL", "One" ], "tail": [ "17", "19", "PERSON", "Paul Rosenberg" ] } ], [ { "head": [ "157", "158", "CARDINAL", "One" ], "tail": [ "31", "32", "GPE", "Seattle" ] } ], [ { "head": [ "157", "158", "CARDINAL", "One" ], "tail": [ "33", "34", "GPE", "Washington" ] } ], [ { "head": [ "157", "158", "CARDINAL", "One" ], "tail": [ "39", "40", "PERSON", "Paul" ] } ], [ { "head": [ "157", "158", "CARDINAL", "One" ], "tail": [ "41", "44", "ORG", "Rain City Jacks" ] } ], [ { "head": [ "157", "158", "CARDINAL", "One" ], "tail": [ "91", "92", "PERSON", "Paul" ] } ], [ { "head": [ "157", "158", "CARDINAL", "One" ], "tail": [ "154", "155", "ORG", "Apple" ] } ] ]
[ " BROADCASTS_OVER\n\n Entities: \n [{'", " IS_FOUNDER_OF", " LOCATED_IN", " LOCATION", " FOUNDED_IN_YEAR", " IS_FOUNDER_OF", " FOUNDER", " IS_FOUNDER_OF", " CREATED_BY", " PART_OF \n\n Explanation:\n The text states that \"W", " APPEARS_ON", " NO_RELATION", " Paul_Rosenberg_is_a_guest_on_Sexual_", " Paul_Rosenberg_is_a_guest_on_Sexual_", " LOCATION_OF\n\n Entities: \n [{'head': ['", " LOCATION", " FOUNDED_IN_YEAR", " Paul_is_a_guest_on_Sexual_Heroes", " PRODUCES\n\n Explanation:\n The text mentions that Paul", " Paul_is_a_guest_on_Sexual_Heroes", " DISCUED_WORK_OF_ART", " PART_OF \n\n Explanation:\n The text mentions that Sex", " AVAILABLE_AT", " IS_PODCAST_OF", " IS_HOSTED_BY", " Paul_Rosenberg_is_guest_on_Sexual_Hero", " LOCATION_OF\n or\n RESIDES_IN\n or\n", " LOCATION", " FOUNDED_IN", " SELF_REFERENCE", " FOUNDER", " SELF_REFERENCE", " CREATED_BY", " HAS_CULTURE_ORIGIN_FROM", " APPEARS_ON", " LEADS_TO", " LOCATION_OF\n\n Explanation:\n The text states that Robert", " LOCATION_OF\n or\n BROADCASTING_IN\n\n", " LOCATED_IN", " LOCATION_IN. \n\n Explanation:\n The text states", " FOUNDED_IN", " LOCATION_OF\n or\n FOUNDER_OF\n or\n", " LOCATED_IN", " LOCATION_OF\n or\n FOUNDER_OF\n or\n", " LOCATED_IN", " PART_OF\n\n Explanation:\n The text mentions that Seattle is", " FOUND_ON", " LOCATION_OF\n or\n NO_RELATION (if 'Seattle", " LOCATION_OF\n or\n NO_RELATION (if 'Rober", " LOCATED_IN", " LOCATION_OF\n or\n FOUNDER_OF\n or\n", " LOCATION_IN.", " FOUNDING_YEAR", " LOCATION_OF\n or\n FOUNDER_OF\n or\n", " LOCATED_IN", " LOCATION_OF\n or\n FOUNDER_OF\n or\n", " LOCATED_IN", " LOCATION_OF\n OR:\n PART_OF\n OR:\n", " AVAILABLE_AT", " LOCATION_OF", " FOUNDED", " BROADCASTS_SHOW", " FOUNDED", " FOUNDED_IN", " FOUNDED_IN", " FOUNDED", " FOUNDED", " FOUNDED", " AVAILABLE_AT", " IS_FOUNDER_OF", " Paul_is_guest_on_Sexual_Heroes", " SAME_AS", " LOCATION_OF\n or\n RESIDES_IN\n or\n", " LOCATION", " FOUNDED", " FOUNDER", " SELF_REFERENCE", " CREATED_BY", " HISTORY_OF", " APPEARS_ON", " LEADS_TO", " FOUNDER", " FOUNDER", " FOUNDER", " FOUNDED_IN", " FOUNDED_IN", " FOUNDED_BY", " FOUNDER", " FOUNDER", " FOUNDER", " PART_OF", " CAN_BE_FOUND_ON", " FOUNDER", " IS_FOUNDER_OF", " Paul_is_guest_on_Sexual_Heroes", " SAME_AS", " LOCATION.OF.RESIDENCE", " LOCATION", " FOUNDED", " SELF_REFERENCE", " FOUNDER", " CREATED_BY", " PART_OF\n\n Explanation:\n Paul is part of Western culture through", " APPEARS_ON", " LEADS_TO", " CREATED_BY", " DISCUSSES", " CREATED_BY", " LOCATED_IN", " LOCATED_IN", " CREATED_BY", " PRODUCES", " CREATED_BY", " AVAILABLE_AT", " LISTENER_OF\n\n Explanation:\n The text mentions", " DISCUSSES", " HAS_CULTURE_ORIGIN", " LOCATION_OF\n or\n LOCATED_IN\n\n Ex", " LOCATION_OF\n or\n LOCATED_IN\n or\n", " PART_OF\n\n Explanation:\n Paul is a part of Western culture", " FOUNDED_BY", " CULTURE_OF_ORIGIN", " LINKED_TO", " APPEARS_ON", " FEATURED_IN", " HOSTED_BY", " AVAILABLE_AT", " LOCATION_OF\n\n Explanation:\n The text mentions that", " AVAILABLE_AT", " HOSTED_BY", " AVAILABLE_AT", " HOSTED_BY", " APPEARS_ON", " AVAILABLE_AT", " LINKED_TO", " YOU_ARE\n\n Entities: \n [{'head': ['7',", " Paul_Rosenberg_is_a_guest_on_Sexual_", " HOSTED_BY", " LOCATION_OF", " LOCATION", " FOUNDER", " FOUNDED_BY", " FOUNDER", " LINKED_TO" ]
[ [ "7", "9", "PERSON", "Robert Black" ], [ "14", "16", "ORG", "Sexual Heroes" ], [ "17", "19", "PERSON", "Paul Rosenberg" ], [ "31", "32", "GPE", "Seattle" ], [ "33", "34", "GPE", "Washington" ], [ "37", "38", "DATE", "2005" ], [ "39", "40", "PERSON", "Paul" ], [ "41", "44", "ORG", "Rain City Jacks" ], [ "91", "92", "PERSON", "Paul" ], [ "93", "97", "WORK_OF_ART", "The Heart of Jacks" ], [ "141", "142", "NORP", "Western" ], [ "154", "155", "ORG", "Apple" ], [ "157", "158", "CARDINAL", "One" ] ]
667
669
[ "Kroya by Chef Chanrith\nKroya which means “food” in the Khmer Royal language is the Shinta Mani Angkor’s unique restaurant inspired by Shinta Mani’s heritage. Our menu blends local products, combines fresh ingredients, native herbs and spices to create innovative, palette pleasing flavours.\nChef Chanrith has used his lifelong wealth of experience to create a new fine dining concept featuring modern interpretations of the Khmer recipes from his youth. Presented with flair and\nprepared with modern techniques, Chef Chanrith will take you on a culinary exploration of his vision for the future of Khmer cuisine.\nSet Menus & Signature Cocktails\n- Email: firstname.lastname@example.org" ]
[ [ "Kroya", "by", "Chef", "Chanrith", "\n", "Kroya", "which", "means", "“", "food", "”", "in", "the", "Khmer", "Royal", "language", "is", "the", "Shinta", "Mani", "Angkor", "’s", "unique", "restaurant", "inspired", "by", "Shinta", "Mani", "’s", "heritage", ".", "Our", "menu", "blends", "local", "products", ",", "combines", "fresh", "ingredients", ",", "native", "herbs", "and", "spices", "to", "create", "innovative", ",", "palette", "pleasing", "flavours", ".", "\n", "Chef", "Chanrith", "has", "used", "his", "lifelong", "wealth", "of", "experience", "to", "create", "a", "new", "fine", "dining", "concept", "featuring", "modern", "interpretations", "of", "the", "Khmer", "recipes", "from", "his", "youth", ".", "Presented", "with", "flair", "and", "\n", "prepared", "with", "modern", "techniques", ",", "Chef", "Chanrith", "will", "take", "you", "on", "a", "culinary", "exploration", "of", "his", "vision", "for", "the", "future", "of", "Khmer", "cuisine", ".", "\n", "Set", "Menus", "&", "Signature", "Cocktails", "\n", "-", "Email", ":", "firstname.lastname@example.org" ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Kroya by Chef Chanrith\nKroya which means “food” in the Khmer Royal language is the Shinta Mani Angkor’s unique restaurant inspired by Shinta Mani’s heritage. Our menu blends local products, combines fresh ingredients, native herbs and spices to create innovative, palette pleasing flavours.\nChef Chanrith has used his lifelong wealth of experience to create a new fine dining concept featuring modern interpretations of the Khmer recipes from his youth. Presented with flair and\nprepared with modern techniques, Chef Chanrith will take you on a culinary exploration of his vision for the future of Khmer cuisine.\nSet Menus & Signature Cocktails\n- Email: firstname.lastname@example.org'] Entities: [{'head': ['0', '1', 'ORG', 'Kroya'], 'tail': ['3', '4', 'PERSON', 'Chanrith']}] Relation:
[ [ { "head": [ "0", "1", "ORG", "Kroya" ], "tail": [ "3", "4", "PERSON", "Chanrith" ] } ], [ { "head": [ "0", "1", "ORG", "Kroya" ], "tail": [ "13", "14", "NORP", "Khmer" ] } ], [ { "head": [ "0", "1", "ORG", "Kroya" ], "tail": [ "17", "22", "GPE", "the Shinta Mani Angkor’s" ] } ], [ { "head": [ "0", "1", "ORG", "Kroya" ], "tail": [ "26", "29", "GPE", "Shinta Mani’s" ] } ], [ { "head": [ "0", "1", "ORG", "Kroya" ], "tail": [ "55", "56", "PERSON", "Chanrith" ] } ], [ { "head": [ "0", "1", "ORG", "Kroya" ], "tail": [ "75", "76", "NORP", "Khmer" ] } ], [ { "head": [ "0", "1", "ORG", "Kroya" ], "tail": [ "92", "93", "PERSON", "Chanrith" ] } ], [ { "head": [ "0", "1", "ORG", "Kroya" ], "tail": [ "107", "108", "NORP", "Khmer" ] } ], [ { "head": [ "3", "4", "PERSON", "Chanrith" ], "tail": [ "0", "1", "ORG", "Kroya" ] } ], [ { "head": [ "3", "4", "PERSON", "Chanrith" ], "tail": [ "13", "14", "NORP", "Khmer" ] } ], [ { "head": [ "3", "4", "PERSON", "Chanrith" ], "tail": [ "17", "22", "GPE", "the Shinta Mani Angkor’s" ] } ], [ { "head": [ "3", "4", "PERSON", "Chanrith" ], "tail": [ "26", "29", "GPE", "Shinta Mani’s" ] } ], [ { "head": [ "3", "4", "PERSON", "Chanrith" ], "tail": [ "55", "56", "PERSON", "Chanrith" ] } ], [ { "head": [ "3", "4", "PERSON", "Chanrith" ], "tail": [ "75", "76", "NORP", "Khmer" ] } ], [ { "head": [ "3", "4", "PERSON", "Chanrith" ], "tail": [ "92", "93", "PERSON", "Chanrith" ] } ], [ { "head": [ "3", "4", "PERSON", "Chanrith" ], "tail": [ "107", "108", "NORP", "Khmer" ] } ], [ { "head": [ "13", "14", "NORP", "Khmer" ], "tail": [ "0", "1", "ORG", "Kroya" ] } ], [ { "head": [ "13", "14", "NORP", "Khmer" ], "tail": [ "3", "4", "PERSON", "Chanrith" ] } ], [ { "head": [ "13", "14", "NORP", "Khmer" ], "tail": [ "17", "22", "GPE", "the Shinta Mani Angkor’s" ] } ], [ { "head": [ "13", "14", "NORP", "Khmer" ], "tail": [ "26", "29", "GPE", "Shinta Mani’s" ] } ], [ { "head": [ "13", "14", "NORP", "Khmer" ], "tail": [ "55", "56", "PERSON", "Chanrith" ] } ], [ { "head": [ "13", "14", "NORP", "Khmer" ], "tail": [ "92", "93", "PERSON", "Chanrith" ] } ], [ { "head": [ "17", "22", "GPE", "the Shinta Mani Angkor’s" ], "tail": [ "0", "1", "ORG", "Kroya" ] } ], [ { "head": [ "17", "22", "GPE", "the Shinta Mani Angkor’s" ], "tail": [ "3", "4", "PERSON", "Chanrith" ] } ], [ { "head": [ "17", "22", "GPE", "the Shinta Mani Angkor’s" ], "tail": [ "13", "14", "NORP", "Khmer" ] } ], [ { "head": [ "17", "22", "GPE", "the Shinta Mani Angkor’s" ], "tail": [ "26", "29", "GPE", "Shinta Mani’s" ] } ], [ { "head": [ "17", "22", "GPE", "the Shinta Mani Angkor’s" ], "tail": [ "55", "56", "PERSON", "Chanrith" ] } ], [ { "head": [ "17", "22", "GPE", "the Shinta Mani Angkor’s" ], "tail": [ "75", "76", "NORP", "Khmer" ] } ], [ { "head": [ "17", "22", "GPE", "the Shinta Mani Angkor’s" ], "tail": [ "92", "93", "PERSON", "Chanrith" ] } ], [ { "head": [ "17", "22", "GPE", "the Shinta Mani Angkor’s" ], "tail": [ "107", "108", "NORP", "Khmer" ] } ], [ { "head": [ "26", "29", "GPE", "Shinta Mani’s" ], "tail": [ "0", "1", "ORG", "Kroya" ] } ], [ { "head": [ "26", "29", "GPE", "Shinta Mani’s" ], "tail": [ "3", "4", "PERSON", "Chanrith" ] } ], [ { "head": [ "26", "29", "GPE", "Shinta Mani’s" ], "tail": [ "13", "14", "NORP", "Khmer" ] } ], [ { "head": [ "26", "29", "GPE", "Shinta Mani’s" ], "tail": [ "17", "22", "GPE", "the Shinta Mani Angkor’s" ] } ], [ { "head": [ "26", "29", "GPE", "Shinta Mani’s" ], "tail": [ "55", "56", "PERSON", "Chanrith" ] } ], [ { "head": [ "26", "29", "GPE", "Shinta Mani’s" ], "tail": [ "75", "76", "NORP", "Khmer" ] } ], [ { "head": [ "26", "29", "GPE", "Shinta Mani’s" ], "tail": [ "92", "93", "PERSON", "Chanrith" ] } ], [ { "head": [ "26", "29", "GPE", "Shinta Mani’s" ], "tail": [ "107", "108", "NORP", "Khmer" ] } ], [ { "head": [ "55", "56", "PERSON", "Chanrith" ], "tail": [ "0", "1", "ORG", "Kroya" ] } ], [ { "head": [ "55", "56", "PERSON", "Chanrith" ], "tail": [ "3", "4", "PERSON", "Chanrith" ] } ], [ { "head": [ "55", "56", "PERSON", "Chanrith" ], "tail": [ "13", "14", "NORP", "Khmer" ] } ], [ { "head": [ "55", "56", "PERSON", "Chanrith" ], "tail": [ "17", "22", "GPE", "the Shinta Mani Angkor’s" ] } ], [ { "head": [ "55", "56", "PERSON", "Chanrith" ], "tail": [ "26", "29", "GPE", "Shinta Mani’s" ] } ], [ { "head": [ "55", "56", "PERSON", "Chanrith" ], "tail": [ "75", "76", "NORP", "Khmer" ] } ], [ { "head": [ "55", "56", "PERSON", "Chanrith" ], "tail": [ "92", "93", "PERSON", "Chanrith" ] } ], [ { "head": [ "55", "56", "PERSON", "Chanrith" ], "tail": [ "107", "108", "NORP", "Khmer" ] } ], [ { "head": [ "75", "76", "NORP", "Khmer" ], "tail": [ "0", "1", "ORG", "Kroya" ] } ], [ { "head": [ "75", "76", "NORP", "Khmer" ], "tail": [ "3", "4", "PERSON", "Chanrith" ] } ], [ { "head": [ "75", "76", "NORP", "Khmer" ], "tail": [ "17", "22", "GPE", "the Shinta Mani Angkor’s" ] } ], [ { "head": [ "75", "76", "NORP", "Khmer" ], "tail": [ "26", "29", "GPE", "Shinta Mani’s" ] } ], [ { "head": [ "75", "76", "NORP", "Khmer" ], "tail": [ "55", "56", "PERSON", "Chanrith" ] } ], [ { "head": [ "75", "76", "NORP", "Khmer" ], "tail": [ "92", "93", "PERSON", "Chanrith" ] } ], [ { "head": [ "92", "93", "PERSON", "Chanrith" ], "tail": [ "0", "1", "ORG", "Kroya" ] } ], [ { "head": [ "92", "93", "PERSON", "Chanrith" ], "tail": [ "3", "4", "PERSON", "Chanrith" ] } ], [ { "head": [ "92", "93", "PERSON", "Chanrith" ], "tail": [ "13", "14", "NORP", "Khmer" ] } ], [ { "head": [ "92", "93", "PERSON", "Chanrith" ], "tail": [ "17", "22", "GPE", "the Shinta Mani Angkor’s" ] } ], [ { "head": [ "92", "93", "PERSON", "Chanrith" ], "tail": [ "26", "29", "GPE", "Shinta Mani’s" ] } ], [ { "head": [ "92", "93", "PERSON", "Chanrith" ], "tail": [ "55", "56", "PERSON", "Chanrith" ] } ], [ { "head": [ "92", "93", "PERSON", "Chanrith" ], "tail": [ "75", "76", "NORP", "Khmer" ] } ], [ { "head": [ "92", "93", "PERSON", "Chanrith" ], "tail": [ "107", "108", "NORP", "Khmer" ] } ], [ { "head": [ "107", "108", "NORP", "Khmer" ], "tail": [ "0", "1", "ORG", "Kroya" ] } ], [ { "head": [ "107", "108", "NORP", "Khmer" ], "tail": [ "3", "4", "PERSON", "Chanrith" ] } ], [ { "head": [ "107", "108", "NORP", "Khmer" ], "tail": [ "17", "22", "GPE", "the Shinta Mani Angkor’s" ] } ], [ { "head": [ "107", "108", "NORP", "Khmer" ], "tail": [ "26", "29", "GPE", "Shinta Mani’s" ] } ], [ { "head": [ "107", "108", "NORP", "Khmer" ], "tail": [ "55", "56", "PERSON", "Chanrith" ] } ], [ { "head": [ "107", "108", "NORP", "Khmer" ], "tail": [ "92", "93", "PERSON", "Chanrith" ] } ] ]
[ " CHEF_OF", " INSPIRED_BY", " BELONGS_TO", " INSPIRED_BY", " CHEF_OF", " INSPIRED_BY", " CHEF_OF", " INSPIRED_BY", " CHEF_OF", " CREATOR_OF\n\n Explanation:\n The text describes Chef", " CHEF_OF\n # This model is a simple rule-based system and does", " INSPIRED_BY", " CREATOR", " CREATOR_OF\n Or\n NO_RELATION (if 'Kh", " CREATOR", " CREATOR_OF\n Or\n NO_RELATION\n (Answer", " INSPIRED_BY", " CHEF_OF", " HAS_CUISINE_AT\n or\n BELONGS_TO", " HAS_HERITAGE_FROM", " CHEF_OF", " CHEF_OF", " UNIQUE_RESTAURANT_OF", " CHEF_OF", " HAS_HERITAGE_FROM", " HAS_HERITAGE_FROM", " CHEF_OF", " HAS_CUISINE\n\n Explanation:\n The text describes '", " INSPIRED_BY", " HAS_CUISINE\n\n Explanation:\n The text describes \"", " OWNER", " INSPIRED_BY", " HAS_HERITAGE_FROM", " OWNER_OF", " INSPIRED_BY", " HAS_HERITAGE_FROM", " CHEF_OF", " HERITAGE_OF", " CHEF_OF", " CREATOR_OF", " CREATOR_OF\n Or\n NO_RELATION\n\n Explan", " CHEF_OF\n # This model is a fantastic relation extraction model who only", " CHEF_OF\n or\n HEAD_OF\n\n Explan", " CREATOR_OF\n\n Explanation:\n The text states that \"", " CREATOR", " CREATOR_OF\n\n Explanation:\n The text describes Chef", " INSPIRED_BY", " CHEF_OF", " HAS_HERITAGE_FROM", " HERITAGE_OF", " CHEF_OF", " CHEF_OF", " CHEF_OF", " CREATOR_OF", " CREATOR_OF\n\n Explanation:\n The text describes Chef", " CHEF_OF\n or\n HEAD_OF\n\n Explan", " CHEF_OF\n or\n HEAD_OF\n or\n ", " CREATOR", " CREATOR_OF\n Or\n NO_RELATION\n\n Explan", " CREATOR_OF\n\n Explanation:\n The text states that \"", " INSPIRED_BY", " CHEF_OF", " HAS_CUISINE\n\n Explanation:\n The text describes K", " HAS_HERITAGE_FROM", " CHEF_OF", " CHEF_OF" ]
[ [ "0", "1", "ORG", "Kroya" ], [ "3", "4", "PERSON", "Chanrith" ], [ "13", "14", "NORP", "Khmer" ], [ "17", "22", "GPE", "the Shinta Mani Angkor’s" ], [ "26", "29", "GPE", "Shinta Mani’s" ], [ "55", "56", "PERSON", "Chanrith" ], [ "75", "76", "NORP", "Khmer" ], [ "92", "93", "PERSON", "Chanrith" ], [ "107", "108", "NORP", "Khmer" ] ]
668
670
[ "There Internet offers so many recipes and so much information……..it is easy to get sucked into the rabbit hole depending on what it is your are searching. For me it often has to do with FOOD and simple seasonal recipes that appeal to children.\nOne of the blogs I love to read features both recipes as well as lots of visual eye candy of beautiful bits of life. I recently came upon a post that featured a friend and fellow chef, Leif Hedendal. He shared a simple recipe for a summer soup using just a few ingredients. I wanted to share this today because it is the perfect way to use a basket of cherry tomatoes and a blender, your kids can make this on their own! Get ready, here it is:" ]
[ [ "There", "Internet", "offers", "so", "many", "recipes", "and", "so", "much", "information", "…", "…", "..", "it", "is", "easy", "to", "get", "sucked", "into", "the", "rabbit", "hole", "depending", "on", "what", "it", "is", "your", "are", "searching", ".", "For", "me", "it", "often", "has", "to", "do", "with", "FOOD", "and", "simple", "seasonal", "recipes", "that", "appeal", "to", "children", ".", "\n", "One", "of", "the", "blogs", "I", "love", "to", "read", "features", "both", "recipes", "as", "well", "as", "lots", "of", "visual", "eye", "candy", "of", "beautiful", "bits", "of", "life", ".", "I", "recently", "came", "upon", "a", "post", "that", "featured", "a", "friend", "and", "fellow", "chef", ",", "Leif", "Hedendal", ".", "He", "shared", "a", "simple", "recipe", "for", "a", "summer", "soup", "using", "just", "a", "few", "ingredients", ".", "I", "wanted", "to", "share", "this", "today", "because", "it", "is", "the", "perfect", "way", "to", "use", "a", "basket", "of", "cherry", "tomatoes", "and", "a", "blender", ",", "your", "kids", "can", "make", "this", "on", "their", "own", "!", "Get", "ready", ",", "here", "it", "is", ":" ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['There Internet offers so many recipes and so much information……..it is easy to get sucked into the rabbit hole depending on what it is your are searching. For me it often has to do with FOOD and simple seasonal recipes that appeal to children.\nOne of the blogs I love to read features both recipes as well as lots of visual eye candy of beautiful bits of life. I recently came upon a post that featured a friend and fellow chef, Leif Hedendal. He shared a simple recipe for a summer soup using just a few ingredients. I wanted to share this today because it is the perfect way to use a basket of cherry tomatoes and a blender, your kids can make this on their own! Get ready, here it is:'] Entities: [{'head': ['51', '52', 'CARDINAL', 'One'], 'tail': ['90', '92', 'PERSON', 'Leif Hedendal']}] Relation:
[ [ { "head": [ "51", "52", "CARDINAL", "One" ], "tail": [ "90", "92", "PERSON", "Leif Hedendal" ] } ], [ { "head": [ "90", "92", "PERSON", "Leif Hedendal" ], "tail": [ "51", "52", "CARDINAL", "One" ] } ], [ { "head": [ "90", "92", "PERSON", "Leif Hedendal" ], "tail": [ "113", "114", "DATE", "today" ] } ], [ { "head": [ "113", "114", "DATE", "today" ], "tail": [ "90", "92", "PERSON", "Leif Hedendal" ] } ] ]
[ " FRIEND_OF", " FRIEND_OF", " SHARED_DATE", " FRIEND_OF" ]
[ [ "51", "52", "CARDINAL", "One" ], [ "90", "92", "PERSON", "Leif Hedendal" ], [ "113", "114", "DATE", "today" ] ]
669
671
[ "yarn: (1) a continuous strand of twisted fibers used in weaving or knitting, (2) a narrative of adventures.\nSaturday, December 8, 2012\nA Little Bit of Cheer\nLast night, The Man and I went to downtown Atascadero to see their \"Winter Wonderland\". Over 50 tons of shave ice was used to make a snow mountain for the kids and adults to sled down. I looked at The Man but he said, \"don't even think about it\" just before a couple of kids tumbled off their sleds. Instead of risking bodily injury we opted for free hot cocoa (and literature) from one of the church boothsand bought cotton candy freshly-made by the Pozo 4-H club. Huge cones of pink awesomeness. Feeling very festiveafter so much sugar,we drove to downtown San Luis Obispo and watched their Christmas parade. Perfect weather as usual." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['yarn: (1) a continuous strand of twisted fibers used in weaving or knitting, (2) a narrative of adventures.\nSaturday, December 8, 2012\nA Little Bit of Cheer\nLast night, The Man and I went to downtown Atascadero to see their "Winter Wonderland". Over 50 tons of shave ice was used to make a snow mountain for the kids and adults to sled down. I looked at The Man but he said, "don\'t even think about it" just before a couple of kids tumbled off their sleds. Instead of risking bodily injury we opted for free hot cocoa (and literature) from one of the church boothsand bought cotton candy freshly-made by the Pozo 4-H club. Huge cones of pink awesomeness. Feeling very festiveafter so much sugar,we drove to downtown San Luis Obispo and watched their Christmas parade. Perfect weather as usual.'] Entities: [{'head': ['3', '4', 'CARDINAL', '1'], 'tail': ['49', '50', 'GPE', 'Atascadero']}] Relation:
[ [ { "head": [ "3", "4", "CARDINAL", "1" ], "tail": [ "49", "50", "GPE", "Atascadero" ] } ], [ { "head": [ "3", "4", "CARDINAL", "1" ], "tail": [ "83", "85", "PERSON", "The Man" ] } ], [ { "head": [ "3", "4", "CARDINAL", "1" ], "tail": [ "138", "141", "ORG", "4-H" ] } ], [ { "head": [ "3", "4", "CARDINAL", "1" ], "tail": [ "160", "163", "GPE", "San Luis Obispo" ] } ], [ { "head": [ "18", "19", "CARDINAL", "2" ], "tail": [ "49", "50", "GPE", "Atascadero" ] } ], [ { "head": [ "18", "19", "CARDINAL", "2" ], "tail": [ "83", "85", "PERSON", "The Man" ] } ], [ { "head": [ "18", "19", "CARDINAL", "2" ], "tail": [ "138", "141", "ORG", "4-H" ] } ], [ { "head": [ "18", "19", "CARDINAL", "2" ], "tail": [ "160", "163", "GPE", "San Luis Obispo" ] } ], [ { "head": [ "26", "32", "DATE", "Saturday, December 8, 2012" ], "tail": [ "49", "50", "GPE", "Atascadero" ] } ], [ { "head": [ "26", "32", "DATE", "Saturday, December 8, 2012" ], "tail": [ "83", "85", "PERSON", "The Man" ] } ], [ { "head": [ "26", "32", "DATE", "Saturday, December 8, 2012" ], "tail": [ "138", "141", "ORG", "4-H" ] } ], [ { "head": [ "26", "32", "DATE", "Saturday, December 8, 2012" ], "tail": [ "160", "163", "GPE", "San Luis Obispo" ] } ], [ { "head": [ "33", "38", "WORK_OF_ART", "A Little Bit of Cheer" ], "tail": [ "49", "50", "GPE", "Atascadero" ] } ], [ { "head": [ "33", "38", "WORK_OF_ART", "A Little Bit of Cheer" ], "tail": [ "83", "85", "PERSON", "The Man" ] } ], [ { "head": [ "33", "38", "WORK_OF_ART", "A Little Bit of Cheer" ], "tail": [ "138", "141", "ORG", "4-H" ] } ], [ { "head": [ "33", "38", "WORK_OF_ART", "A Little Bit of Cheer" ], "tail": [ "160", "163", "GPE", "San Luis Obispo" ] } ], [ { "head": [ "39", "41", "TIME", "Last night" ], "tail": [ "49", "50", "GPE", "Atascadero" ] } ], [ { "head": [ "39", "41", "TIME", "Last night" ], "tail": [ "83", "85", "PERSON", "The Man" ] } ], [ { "head": [ "39", "41", "TIME", "Last night" ], "tail": [ "138", "141", "ORG", "4-H" ] } ], [ { "head": [ "39", "41", "TIME", "Last night" ], "tail": [ "160", "163", "GPE", "San Luis Obispo" ] } ], [ { "head": [ "49", "50", "GPE", "Atascadero" ], "tail": [ "3", "4", "CARDINAL", "1" ] } ], [ { "head": [ "49", "50", "GPE", "Atascadero" ], "tail": [ "18", "19", "CARDINAL", "2" ] } ], [ { "head": [ "49", "50", "GPE", "Atascadero" ], "tail": [ "26", "32", "DATE", "Saturday, December 8, 2012" ] } ], [ { "head": [ "49", "50", "GPE", "Atascadero" ], "tail": [ "33", "38", "WORK_OF_ART", "A Little Bit of Cheer" ] } ], [ { "head": [ "49", "50", "GPE", "Atascadero" ], "tail": [ "39", "41", "TIME", "Last night" ] } ], [ { "head": [ "49", "50", "GPE", "Atascadero" ], "tail": [ "54", "56", "WORK_OF_ART", "Winter Wonderland" ] } ], [ { "head": [ "49", "50", "GPE", "Atascadero" ], "tail": [ "58", "61", "QUANTITY", "Over 50 tons" ] } ], [ { "head": [ "49", "50", "GPE", "Atascadero" ], "tail": [ "83", "85", "PERSON", "The Man" ] } ], [ { "head": [ "49", "50", "GPE", "Atascadero" ], "tail": [ "138", "141", "ORG", "4-H" ] } ], [ { "head": [ "49", "50", "GPE", "Atascadero" ], "tail": [ "160", "163", "GPE", "San Luis Obispo" ] } ], [ { "head": [ "49", "50", "GPE", "Atascadero" ], "tail": [ "166", "167", "DATE", "Christmas" ] } ], [ { "head": [ "54", "56", "WORK_OF_ART", "Winter Wonderland" ], "tail": [ "49", "50", "GPE", "Atascadero" ] } ], [ { "head": [ "54", "56", "WORK_OF_ART", "Winter Wonderland" ], "tail": [ "83", "85", "PERSON", "The Man" ] } ], [ { "head": [ "54", "56", "WORK_OF_ART", "Winter Wonderland" ], "tail": [ "138", "141", "ORG", "4-H" ] } ], [ { "head": [ "54", "56", "WORK_OF_ART", "Winter Wonderland" ], "tail": [ "160", "163", "GPE", "San Luis Obispo" ] } ], [ { "head": [ "58", "61", "QUANTITY", "Over 50 tons" ], "tail": [ "49", "50", "GPE", "Atascadero" ] } ], [ { "head": [ "58", "61", "QUANTITY", "Over 50 tons" ], "tail": [ "83", "85", "PERSON", "The Man" ] } ], [ { "head": [ "58", "61", "QUANTITY", "Over 50 tons" ], "tail": [ "138", "141", "ORG", "4-H" ] } ], [ { "head": [ "58", "61", "QUANTITY", "Over 50 tons" ], "tail": [ "160", "163", "GPE", "San Luis Obispo" ] } ], [ { "head": [ "83", "85", "PERSON", "The Man" ], "tail": [ "3", "4", "CARDINAL", "1" ] } ], [ { "head": [ "83", "85", "PERSON", "The Man" ], "tail": [ "18", "19", "CARDINAL", "2" ] } ], [ { "head": [ "83", "85", "PERSON", "The Man" ], "tail": [ "26", "32", "DATE", "Saturday, December 8, 2012" ] } ], [ { "head": [ "83", "85", "PERSON", "The Man" ], "tail": [ "33", "38", "WORK_OF_ART", "A Little Bit of Cheer" ] } ], [ { "head": [ "83", "85", "PERSON", "The Man" ], "tail": [ "39", "41", "TIME", "Last night" ] } ], [ { "head": [ "83", "85", "PERSON", "The Man" ], "tail": [ "49", "50", "GPE", "Atascadero" ] } ], [ { "head": [ "83", "85", "PERSON", "The Man" ], "tail": [ "54", "56", "WORK_OF_ART", "Winter Wonderland" ] } ], [ { "head": [ "83", "85", "PERSON", "The Man" ], "tail": [ "58", "61", "QUANTITY", "Over 50 tons" ] } ], [ { "head": [ "83", "85", "PERSON", "The Man" ], "tail": [ "138", "141", "ORG", "4-H" ] } ], [ { "head": [ "83", "85", "PERSON", "The Man" ], "tail": [ "160", "163", "GPE", "San Luis Obispo" ] } ], [ { "head": [ "83", "85", "PERSON", "The Man" ], "tail": [ "166", "167", "DATE", "Christmas" ] } ], [ { "head": [ "138", "141", "ORG", "4-H" ], "tail": [ "3", "4", "CARDINAL", "1" ] } ], [ { "head": [ "138", "141", "ORG", "4-H" ], "tail": [ "18", "19", "CARDINAL", "2" ] } ], [ { "head": [ "138", "141", "ORG", "4-H" ], "tail": [ "26", "32", "DATE", "Saturday, December 8, 2012" ] } ], [ { "head": [ "138", "141", "ORG", "4-H" ], "tail": [ "33", "38", "WORK_OF_ART", "A Little Bit of Cheer" ] } ], [ { "head": [ "138", "141", "ORG", "4-H" ], "tail": [ "39", "41", "TIME", "Last night" ] } ], [ { "head": [ "138", "141", "ORG", "4-H" ], "tail": [ "49", "50", "GPE", "Atascadero" ] } ], [ { "head": [ "138", "141", "ORG", "4-H" ], "tail": [ "54", "56", "WORK_OF_ART", "Winter Wonderland" ] } ], [ { "head": [ "138", "141", "ORG", "4-H" ], "tail": [ "58", "61", "QUANTITY", "Over 50 tons" ] } ], [ { "head": [ "138", "141", "ORG", "4-H" ], "tail": [ "83", "85", "PERSON", "The Man" ] } ], [ { "head": [ "138", "141", "ORG", "4-H" ], "tail": [ "160", "163", "GPE", "San Luis Obispo" ] } ], [ { "head": [ "138", "141", "ORG", "4-H" ], "tail": [ "166", "167", "DATE", "Christmas" ] } ], [ { "head": [ "160", "163", "GPE", "San Luis Obispo" ], "tail": [ "3", "4", "CARDINAL", "1" ] } ], [ { "head": [ "160", "163", "GPE", "San Luis Obispo" ], "tail": [ "18", "19", "CARDINAL", "2" ] } ], [ { "head": [ "160", "163", "GPE", "San Luis Obispo" ], "tail": [ "26", "32", "DATE", "Saturday, December 8, 2012" ] } ], [ { "head": [ "160", "163", "GPE", "San Luis Obispo" ], "tail": [ "33", "38", "WORK_OF_ART", "A Little Bit of Cheer" ] } ], [ { "head": [ "160", "163", "GPE", "San Luis Obispo" ], "tail": [ "39", "41", "TIME", "Last night" ] } ], [ { "head": [ "160", "163", "GPE", "San Luis Obispo" ], "tail": [ "49", "50", "GPE", "Atascadero" ] } ], [ { "head": [ "160", "163", "GPE", "San Luis Obispo" ], "tail": [ "54", "56", "WORK_OF_ART", "Winter Wonderland" ] } ], [ { "head": [ "160", "163", "GPE", "San Luis Obispo" ], "tail": [ "58", "61", "QUANTITY", "Over 50 tons" ] } ], [ { "head": [ "160", "163", "GPE", "San Luis Obispo" ], "tail": [ "83", "85", "PERSON", "The Man" ] } ], [ { "head": [ "160", "163", "GPE", "San Luis Obispo" ], "tail": [ "138", "141", "ORG", "4-H" ] } ], [ { "head": [ "160", "163", "GPE", "San Luis Obispo" ], "tail": [ "166", "167", "DATE", "Christmas" ] } ], [ { "head": [ "166", "167", "DATE", "Christmas" ], "tail": [ "49", "50", "GPE", "Atascadero" ] } ], [ { "head": [ "166", "167", "DATE", "Christmas" ], "tail": [ "83", "85", "PERSON", "The Man" ] } ], [ { "head": [ "166", "167", "DATE", "Christmas" ], "tail": [ "138", "141", "ORG", "4-H" ] } ], [ { "head": [ "166", "167", "DATE", "Christmas" ], "tail": [ "160", "163", "GPE", "San Luis Obispo" ] } ] ]
[ " WE_WENT_TO", " WENT_WITH", " MADE_BY", " WENT_TO", " WE_WENT_TO", " WENT_WITH", " MADE_BY", " WENT_TO", " LOCATION.IN.EVENT", " WENT_TO", " MADE_BY", " WENT_TO", " LOCATION_OF\n\n Entities: \n [{'head': ['", " AUTHOR_OF\n\n Explanation:\n The text describes an event where", " PRODUCED_BY", " WENT_TO", " LOCATION_AT_TIME", " WENT_WITH", " MADE_BY", " WENT_TO", " LOCATION_OF\n\n Entities: \n [{'head': ['", " WE_SAW\n\n Explanation:\n The text describes The Man and", " LOCATION_OF\n\n Entities: \n [{'head': ['", " LOCATION_OF\n or\n VENUE_OF\n or\n", " SETTING", " LOCATION_OF\n OR\n HOST_OF\n OR\n ", " USED_FOR\n\n Explanation:\n The text states that \"Over", " WENT_TO", " MADE_BY", " NEAR_CITY", " EVENT_STARTED_ON_LOCATION", " LOCATION_OF\n\n Entities: \n [{'head': ['", " WENT_TO", " PRODUCED_BY", " WENT_TO", " USED_FOR_PRODUCING", " PROVIDES_QUANTITY", " USED_BY", " WENT_TO", " WENT_TO", " WENT_TO", " GOES_ON\n\n Explanation:\n The relation GOES_ON", " WROTE\n\n Explanation:\n The text describes 'The Man'", " EVENT_STARTED\n\n Entities: \n [{'head': ['3", " WENT_TO", " WENT_TO", " USED_FOR\n\n Explanation:\n The text states that \"Over", " MADE_BY", " WENT_TO", " WENT_TO\n\n Explanation:\n The entities represent 'The Man", " MADE_BY", " MADE_BY", " PROVIDES_MATERIAL\n\n Explanation:\n The context mentions", " PRODUCED_BY", " MADE_FOR\n\n Explanation:\n The text describes how the ", " PROVIDES_SERVICE", " MADE_BY", " USED_FOR\n\n Explanation:\n The text states that \"the", " SOLD_BY", " SOLD_GOODS_AT\n\n Explanation:\n The text", " SOLD_GOODS_BY\n\n Explanation:\n The text", " WATCHED", " WATCHED", " LOCATION_OF\n Or\n NO_RELATION (if no relation exists", " LOCATION_OF\n or\n EVENT_LOCATION\n or\n ", " WE_SAW\n\n Explanation:\n The text describes an event where", " FROM_LOCATION\n\n Explanation:\n The text describes The Man and", " LOCATION_OF\n or\n HOST_OF\n or\n ", " HAS_QUANTITY\n\n Entities: \n [{'head':", " WATCHED", " SOLD_BY", " PARTI_OF \n\n Explanation:\n The text describes the authors", " WE_SAW\n\n Entities: \n [{'head': ['4", " WENT_TO", " SOLD_GOODS_BY", " WATCHED_IN\n\n Explanation:\n The text describes The" ]
[ [ "3", "4", "CARDINAL", "1" ], [ "18", "19", "CARDINAL", "2" ], [ "26", "32", "DATE", "Saturday, December 8, 2012" ], [ "33", "38", "WORK_OF_ART", "A Little Bit of Cheer" ], [ "39", "41", "TIME", "Last night" ], [ "49", "50", "GPE", "Atascadero" ], [ "54", "56", "WORK_OF_ART", "Winter Wonderland" ], [ "58", "61", "QUANTITY", "Over 50 tons" ], [ "83", "85", "PERSON", "The Man" ], [ "138", "141", "ORG", "4-H" ], [ "160", "163", "GPE", "San Luis Obispo" ], [ "166", "167", "DATE", "Christmas" ] ]
670
672
[ "Originally from Madrid, Antonio Merinero is a graphic illustrator. He also travels the world on a motorcycle. Traveling feeds Antonio's imagination and much of his inspiration comes from his visits to Asia. He has worked with artists who create the Bollywood film posters, but also painters of trucks in India and Thailand.\nDrawing, airbrushing, photography and collage are the mediums that this artist blends to produce his unique and illuminated style.\nAntonio is riding down up from Madrid to join us in Biarritz for Wheels and Waves on his old Electra Glide and sleeping beneath the stars... Bon voyage!\nDon't miss Antonio's exhibition next Friday" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ["Originally from Madrid, Antonio Merinero is a graphic illustrator. He also travels the world on a motorcycle. Traveling feeds Antonio's imagination and much of his inspiration comes from his visits to Asia. He has worked with artists who create the Bollywood film posters, but also painters of trucks in India and Thailand.\nDrawing, airbrushing, photography and collage are the mediums that this artist blends to produce his unique and illuminated style.\nAntonio is riding down up from Madrid to join us in Biarritz for Wheels and Waves on his old Electra Glide and sleeping beneath the stars... Bon voyage!\nDon't miss Antonio's exhibition next Friday"] Entities: [{'head': ['2', '3', 'GPE', 'Madrid'], 'tail': ['4', '6', 'PERSON', 'Antonio Merinero']}] Relation:
[ [ { "head": [ "2", "3", "GPE", "Madrid" ], "tail": [ "4", "6", "PERSON", "Antonio Merinero" ] } ], [ { "head": [ "2", "3", "GPE", "Madrid" ], "tail": [ "22", "23", "PERSON", "Antonio" ] } ], [ { "head": [ "2", "3", "GPE", "Madrid" ], "tail": [ "35", "36", "LOC", "Asia" ] } ], [ { "head": [ "2", "3", "GPE", "Madrid" ], "tail": [ "45", "46", "GPE", "Bollywood" ] } ], [ { "head": [ "2", "3", "GPE", "Madrid" ], "tail": [ "55", "56", "GPE", "India" ] } ], [ { "head": [ "2", "3", "GPE", "Madrid" ], "tail": [ "57", "58", "GPE", "Thailand" ] } ], [ { "head": [ "2", "3", "GPE", "Madrid" ], "tail": [ "83", "84", "PERSON", "Antonio" ] } ], [ { "head": [ "2", "3", "GPE", "Madrid" ], "tail": [ "89", "90", "GPE", "Madrid" ] } ], [ { "head": [ "2", "3", "GPE", "Madrid" ], "tail": [ "94", "95", "GPE", "Biarritz" ] } ], [ { "head": [ "2", "3", "GPE", "Madrid" ], "tail": [ "96", "99", "ORG", "Wheels and Waves" ] } ], [ { "head": [ "2", "3", "GPE", "Madrid" ], "tail": [ "102", "104", "PRODUCT", 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[ " ORIGIN_FROM", " ORIGIN_FROM", " INSPIRATION_FROM", " WORKED_WITH", " INSPIRATION_FROM", " INSPIRATION_FROM", " ORIGIN_FROM", " ORIGIN_FROM", " TRAVELS_FROM", " JOURNEY_FROM", " RIDES\n\n Explanation:\n The text states that Antonio is riding", " ORIGIN_FROM", " HAS_EXHIBITION", " ORIGIN_FROM", " SAME_PERSON", " INSPIRATION_FROM", " WORKED_WITH", " WORKED_WITH", " INSPIRATION_FROM", " SAME_PERSON", " ORIGIN_FROM", " JOURNEY_TO", " JOINS", " RIDES\n\n Explanation:\n The text states that \"Antonio", " SAME_PERSON", " HAS_EXHIBITION", " ORIGIN_FROM", " IDENTICAL\n\n Explanation:\n The entities refer to the same person", " INSPIRATION_FROM", " WORKED_WITH", " WORKED_WITH", " INSPIRATION_FROM", " SAME_PERSON", " ORIGIN_FROM", " JOURNEY_TO", " JOINS", " RIDES\n\n Explanation:\n The text states that \"Antonio", " SAME_PERSON", " EXHIBITION\n\n Entities: \n [{'head': ['1", " FROM_LOCATION", " INSPIRATION_FROM", " INSPIRATION_FROM", " WORKED_WITH", " INSPIRATION_FROM", " IN_LOCATION", " INSPIRATION_FROM", " FROM_LOCATION", " TRAVELS_TO", " TRAVELS_TO", " TRAVELS_WITH", " INSPIRATION_FROM", " INSPIRATION_FROM", " WORKED_WITH", " WORKED_WITH", " WORKED_WITH", " WORKED_WITH", " WORKED_WITH", " WORKED_WITH", " WORKED_WITH", " WORKED_WITH", " TRAVELS_TO", " WORKED_WITH", " WORKED_WITH", " WORKED_WITH", " WORKED_WITH", " FROM_LOCATION\n\n Explanation:\n The text states that Antonio travels", " WORKED_WITH", " WORKED_WITH", " IN_LOCATION", " WORKED_WITH", " TRAVELLED_TO", " WORKED_WITH", " FROM_LOCATION\n\n Explanation:\n The text states that Antonio travels", " TRAVELS_FROM", " IN_EVENT", " TRAVELLED_WITH", " WORKED_WITH", " INSPIRATION_FROM", " FROM_LOCATION\n\n Explanation:\n The text states that Antonio travels", " WORKED_WITH", " WORKED_WITH", " IN_LOCATION", " WORKED_WITH", " TRAVELLED_TO", " WORKED_WITH", " FROM_LOCATION\n\n Explanation:\n The text states that Antonio travels", " TRAVELS_FROM", " TRAVELLED_TO", " TRAVELLED_WITH\n\n Explanation:\n The text states that", " WORKED_WITH", " INSPIRATION_FROM", " ORIGIN_FROM", " SAME_AS", " SAME_PERSON", " INSPIRATION_FROM", " WORKED_WITH", " WORKED_WITH", " WORKED_WITH", " ORIGIN_FROM", " JOURNEY_TO", " JOINS", " RIDES\n\n Explanation:\n The text states that Antonio is riding", " SAME_PERSON", " EXHIBITION\n\n Entities: \n [{'head': ['8", " ORIGIN\n\n Entities: \n [{'head': ['2',", " ORIGIN_FROM", " ORIGIN_FROM", " INSPIRATION_FROM", " WORKED_WITH", " INSPIRATION_FROM", " INSPIRATION_FROM", " ORIGIN_FROM", " TRAVELS_FROM", " ORGANIZER", " ORIGIN_FROM", " ORIGIN_FROM", " EXHIBITION\n The head entity is Madrid and the tail entity is next Friday.", " JOURNEY_FROM", " JOINS", " JOINS", " TRAVELS_TO", " WORKED_WITH", " Antonio_has_been_to_India.", " INSPIRATION_FROM", " JOINS", " JOURNEY_FROM", " JOINED_BY", " JOURNEY_FROM", " JOINS", " JOINED_BY", " FROM_LOCATION", " JOINS", " JOINS", " INSPIRATION_FROM", " WORKED_WITH", " WORKED_WITH", " ART_INFLUENCE\n\n Explanation:\n Antonio has been", " JOINS", " FROM_LOCATION", " JOINED_BY\n\n Explanation:\n Antonio is joining Wheels", " JOINS\n\n Explanation:\n The text states that Antonio is riding his", " JOINS", " EXHIBITION\n\n Entities: \n [{'head': ['1", " RIDES_FROM", " OWNER", " OWNS", " TRAVELS_TO", " WORKED_WITH", " TRAVELLED_TO", " TRAVELLED_TO", " OWNER_OF", " RIDES_FROM", " JOURNEY_FROM", " JOURNEYS_TO", " OWNER", " ORIGIN_FROM", " IDENTICAL\n\n Explanation:\n The entities refer to the same person", " SAME_PERSON", " INSPIRATION_FROM", " WORKED_WITH", " INSPIRATION_FROM", " INSPIRATION_FROM", " SAME_PERSON", " ORIGIN_FROM", " JOURNEY_TO", " JOINS", " OWNS\n\n Explanation:\n Antonio owns an old Electra Gl", " EXHIBITION\n\n Entities: \n [{'head': ['1", " TRAVELS_FROM", " HAS_EXHIBITION", " HAS_EXHIBITION", " MUCH_OF_INSPIRATION_FROM", " WORKED_WITH", " WORKED_WITH", " INSPIRATION_FROM", " HAS_EXHIBITION", " TRAVELS_FROM", " TRAVELS_TO", " EXHIBITION\n This is the correct answer. The relation is 'EXHIB", " HAS_EXHIBITION" ]
[ [ "2", "3", "GPE", "Madrid" ], [ "4", "6", "PERSON", "Antonio Merinero" ], [ "22", "23", "PERSON", "Antonio" ], [ "35", "36", "LOC", "Asia" ], [ "45", "46", "GPE", "Bollywood" ], [ "55", "56", "GPE", "India" ], [ "57", "58", "GPE", "Thailand" ], [ "83", "84", "PERSON", "Antonio" ], [ "89", "90", "GPE", "Madrid" ], [ "94", "95", "GPE", "Biarritz" ], [ "96", "99", "ORG", "Wheels and Waves" ], [ "102", "104", "PRODUCT", "Electra Glide" ], [ "117", "118", "PERSON", "Antonio" ], [ "120", "122", "DATE", "next Friday" ] ]
671
673
[ "Known as the Bachman-Wilson House, this structure is an example of Frank Lloyd Wright’s classic Usonian architecture. The word “Usonian” was derived from an abbreviation of “United States of North America.” Wright created this term to describe a distinctly American style of residential architecture he developed during the Great Depression to be within the reach of the average middle-class American family.\nSUNDAY at 10:30AM\nTickets are required as capacity is limited, and can be reserved by phone (479) 657-2335, online, or at Guest Services in the main lobby.\nFor more information, please visit the website." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Known as the Bachman-Wilson House, this structure is an example of Frank Lloyd Wright’s classic Usonian architecture. The word “Usonian” was derived from an abbreviation of “United States of North America.” Wright created this term to describe a distinctly American style of residential architecture he developed during the Great Depression to be within the reach of the average middle-class American family.\nSUNDAY at 10:30AM\nTickets are required as capacity is limited, and can be reserved by phone (479) 657-2335, online, or at Guest Services in the main lobby.\nFor more information, please visit the website.'] Entities: [{'head': ['2', '7', 'FAC', 'the Bachman-Wilson House'], 'tail': ['14', '18', 'PERSON', 'Frank Lloyd Wright’s']}] Relation:
[ [ { "head": [ "2", "7", "FAC", "the Bachman-Wilson House" ], "tail": [ "14", "18", "PERSON", "Frank Lloyd Wright’s" ] } ], [ { "head": [ "2", "7", "FAC", "the Bachman-Wilson House" ], "tail": [ "34", "39", "GPE", "United States of North America" ] } ], [ { "head": [ "2", "7", "FAC", "the Bachman-Wilson House" ], "tail": [ "41", "42", "PERSON", "Wright" ] } ], [ { "head": [ "2", "7", "FAC", "the Bachman-Wilson House" ], "tail": [ "104", "106", "ORG", "Guest Services" ] } ], [ { "head": [ "14", "18", "PERSON", "Frank Lloyd Wright’s" ], "tail": [ "2", "7", "FAC", "the Bachman-Wilson House" ] } ], [ { "head": [ "14", "18", "PERSON", "Frank Lloyd Wright’s" ], "tail": [ "19", "20", "NORP", "Usonian" ] } ], [ { "head": [ "14", "18", "PERSON", "Frank Lloyd Wright’s" ], "tail": [ "34", "39", "GPE", "United States of North America" ] } ], [ { "head": [ "14", "18", "PERSON", "Frank Lloyd Wright’s" ], "tail": [ "41", "42", "PERSON", "Wright" ] } ], [ { "head": [ "14", "18", "PERSON", "Frank Lloyd Wright’s" ], "tail": [ "49", "50", "NORP", "American" ] } ], [ { "head": [ "14", "18", "PERSON", "Frank Lloyd Wright’s" ], "tail": [ "57", "60", "EVENT", "the Great Depression" ] } ], [ { "head": [ "14", "18", "PERSON", "Frank Lloyd Wright’s" ], "tail": [ "71", "72", "NORP", "American" ] } ], [ { "head": [ "14", "18", "PERSON", "Frank Lloyd Wright’s" ], "tail": [ "75", "76", "DATE", "SUNDAY" ] } ], [ { "head": [ "14", "18", "PERSON", "Frank Lloyd Wright’s" ], "tail": [ "104", "106", "ORG", "Guest Services" ] } ], [ { "head": [ "19", "20", "NORP", "Usonian" ], "tail": [ "14", "18", "PERSON", "Frank Lloyd Wright’s" ] } ], [ { "head": [ "19", "20", "NORP", "Usonian" ], "tail": [ "34", "39", "GPE", "United States of North America" ] } ], [ { "head": [ "19", "20", "NORP", "Usonian" ], "tail": [ "41", "42", "PERSON", "Wright" ] } ], [ { "head": [ "19", "20", "NORP", "Usonian" ], "tail": [ "104", "106", "ORG", "Guest Services" ] } ], [ { "head": [ "34", "39", "GPE", "United States of North America" ], "tail": [ "2", "7", "FAC", "the Bachman-Wilson House" ] } ], [ { "head": [ "34", "39", "GPE", "United States of North America" ], "tail": [ "14", "18", "PERSON", "Frank Lloyd Wright’s" ] } ], [ { "head": [ "34", "39", "GPE", "United States of North America" ], "tail": [ "19", "20", "NORP", "Usonian" ] } ], [ { "head": [ "34", "39", "GPE", "United States of North America" ], "tail": [ "41", "42", "PERSON", "Wright" ] } ], [ { "head": [ "34", "39", "GPE", "United States of North America" ], "tail": [ "49", "50", "NORP", "American" ] } ], [ { "head": [ "34", "39", "GPE", "United States of North America" ], "tail": [ "57", "60", "EVENT", "the Great Depression" ] } ], [ { "head": [ "34", "39", "GPE", "United States of North America" ], "tail": [ "71", "72", "NORP", "American" ] } ], [ { "head": [ "34", "39", "GPE", "United States of North America" ], "tail": [ "75", "76", "DATE", "SUNDAY" ] } ], [ { "head": [ "34", "39", "GPE", "United States of North America" ], "tail": [ "104", "106", "ORG", "Guest Services" ] } ], [ { "head": [ "41", "42", "PERSON", "Wright" ], "tail": [ "2", "7", "FAC", "the Bachman-Wilson House" ] } ], [ { "head": [ "41", "42", "PERSON", "Wright" ], "tail": [ "14", "18", "PERSON", "Frank Lloyd Wright’s" ] } ], [ { "head": [ "41", "42", "PERSON", "Wright" ], "tail": [ "19", "20", "NORP", "Usonian" ] } ], [ { "head": [ "41", "42", "PERSON", "Wright" ], "tail": [ "34", "39", "GPE", "United States of North America" ] } ], [ { "head": [ "41", "42", "PERSON", "Wright" ], "tail": [ "49", "50", "NORP", "American" ] } ], [ { "head": [ "41", "42", "PERSON", "Wright" ], "tail": [ "57", "60", "EVENT", "the Great Depression" ] } ], [ { "head": [ "41", "42", "PERSON", "Wright" ], "tail": [ "71", "72", "NORP", "American" ] } ], [ { "head": [ "41", "42", "PERSON", "Wright" ], "tail": [ "75", "76", "DATE", "SUNDAY" ] } ], [ { "head": [ "41", "42", "PERSON", "Wright" ], "tail": [ "104", "106", "ORG", "Guest Services" ] } ], [ { "head": [ "49", "50", "NORP", "American" ], "tail": [ "14", "18", "PERSON", "Frank Lloyd Wright’s" ] } ], [ { "head": [ "49", "50", "NORP", "American" ], "tail": [ "34", "39", "GPE", "United States of North America" ] } ], [ { "head": [ "49", "50", "NORP", "American" ], "tail": [ "41", "42", "PERSON", "Wright" ] } ], [ { "head": [ "49", "50", "NORP", "American" ], "tail": [ "104", "106", "ORG", "Guest Services" ] } ], [ { "head": [ "57", "60", "EVENT", "the Great Depression" ], "tail": [ "14", "18", "PERSON", "Frank Lloyd Wright’s" ] } ], [ { "head": [ "57", "60", "EVENT", "the Great Depression" ], "tail": [ "34", "39", "GPE", "United States of North America" ] } ], [ { "head": [ "57", "60", "EVENT", "the Great Depression" ], "tail": [ "41", "42", "PERSON", "Wright" ] } ], [ { "head": [ "57", "60", "EVENT", "the Great Depression" ], "tail": [ "104", "106", "ORG", "Guest Services" ] } ], [ { "head": [ "71", "72", "NORP", "American" ], "tail": [ "14", "18", "PERSON", "Frank Lloyd Wright’s" ] } ], [ { "head": [ "71", "72", "NORP", "American" ], "tail": [ "34", "39", "GPE", "United States of North America" ] } ], [ { "head": [ "71", "72", "NORP", "American" ], "tail": [ "41", "42", "PERSON", "Wright" ] } ], [ { "head": [ "71", "72", "NORP", "American" ], "tail": [ "104", "106", "ORG", "Guest Services" ] } ], [ { "head": [ "75", "76", "DATE", "SUNDAY" ], "tail": [ "14", "18", "PERSON", "Frank Lloyd Wright’s" ] } ], [ { "head": [ "75", "76", "DATE", "SUNDAY" ], "tail": [ "34", "39", "GPE", "United States of North America" ] } ], [ { "head": [ "75", "76", "DATE", "SUNDAY" ], "tail": [ "41", "42", "PERSON", "Wright" ] } ], [ { "head": [ "75", "76", "DATE", "SUNDAY" ], "tail": [ "104", "106", "ORG", "Guest Services" ] } ], [ { "head": [ "104", "106", "ORG", "Guest Services" ], "tail": [ "2", "7", "FAC", "the Bachman-Wilson House" ] } ], [ { "head": [ "104", "106", "ORG", "Guest Services" ], "tail": [ "14", "18", "PERSON", "Frank Lloyd Wright’s" ] } ], [ { "head": [ "104", "106", "ORG", "Guest Services" ], "tail": [ "19", "20", "NORP", "Usonian" ] } ], [ { "head": [ "104", "106", "ORG", "Guest Services" ], "tail": [ "34", "39", "GPE", "United States of North America" ] } ], [ { "head": [ "104", "106", "ORG", "Guest Services" ], "tail": [ "41", "42", "PERSON", "Wright" ] } ], [ { "head": [ "104", "106", "ORG", "Guest Services" ], "tail": [ "49", "50", "NORP", "American" ] } ], [ { "head": [ "104", "106", "ORG", "Guest Services" ], "tail": [ "57", "60", "EVENT", "the Great Depression" ] } ], [ { "head": [ "104", "106", "ORG", "Guest Services" ], "tail": [ "71", "72", "NORP", "American" ] } ], [ { "head": [ "104", "106", "ORG", "Guest Services" ], "tail": [ "75", "76", "DATE", "SUNDAY" ] } ] ]
[ " ARCHITECT_OF", " DESCRIBED_BY", " DESIGNED_BY", " PROVIDES_SERVICE", " DESIGNED_BY", " DESIGNED_BY", " DESCRIBED_BY", " DESIGNED_BY", " DESCRIBED_BY", " INFLUENCED_BY", " DESCRIBED_BY", " EVENT_STARTS_ON\n\n Entities: \n [{'head':", " PROVIDES_SERVICE", " DESIGNED_BY", " ORIGIN_IN_REGION", " DESIGNED_BY", " PROVIDES_SERVICE", " DESCRIBED_BY", " DESCRIBED_BY", " DESCRIBED_BY", " DESCRIBED_BY", " DESCRIBED_BY", " TIME_PERIOD_OF\n\n Explanation:\n The text ment", " DESCRIBED_BY", " EVENT_LOCATION", " PROVIDES_SERVICE", " DESIGNED_BY", " DESIGNED_BY", " DESIGNED_BY", " DESCRIBED_BY", " DESCRIBED_BY", " DESIGNED_DURING", " DESCRIBED_BY", " EVENT_STARTS_ON\n\n Entities: \n [{'head':", " CONTACT_INFO", " DESIGNED_BY", " COUNTRY_OF_ORIGIN", " DESIGNED_BY", " CONTACT_INFO", " DEVELOPED_DURING", " CAUSED_BY", " DEVELOPED_DURING", " RESERVATION_SERVICE_FOR\n\n Explanation:\n The text", " DESIGNED_BY", " COUNTRY_OF_ORIGIN", " DESIGNED_BY", " PROVIDES_SERVICE", " EVENT_STARTS_WITH\n OR\n BUILT_BY\n OR", " EVENT_LOCATION", " EVENT_STARTS_WITH_PERSON", " INFORMATION_PROVIDER", " PROVIDES_SERVICE", " PROVIDES_INFORMATION", " PROVIDES_INFORMATION", " LOCATED_IN", " CONTACTED_BY", " PROVIDES_INFORMATION", " SERVED_DURING", " PROVIDES_INFORMATION", " PROVIDES_INFORMATION" ]
[ [ "2", "7", "FAC", "the Bachman-Wilson House" ], [ "14", "18", "PERSON", "Frank Lloyd Wright’s" ], [ "19", "20", "NORP", "Usonian" ], [ "34", "39", "GPE", "United States of North America" ], [ "41", "42", "PERSON", "Wright" ], [ "49", "50", "NORP", "American" ], [ "57", "60", "EVENT", "the Great Depression" ], [ "71", "72", "NORP", "American" ], [ "75", "76", "DATE", "SUNDAY" ], [ "104", "106", "ORG", "Guest Services" ] ]
672
674
[ "Karma has a degree in writing and sociology. She’s an Americorps grad and a board member of the California Writers Club. Her first foray into human rights work was with the Westcott 12 activists who launched a 100+ day camp out in protest of sweatshop labor. Since then she’s organized with IndyMedia, Occupy Oakland, and most recently with Solidaridad Con Los Ninos, a group that organizes caravans to visit detainment centers. She loves street art, poetry, and dancing with wild abandon." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Karma has a degree in writing and sociology. She’s an Americorps grad and a board member of the California Writers Club. Her first foray into human rights work was with the Westcott 12 activists who launched a 100+ day camp out in protest of sweatshop labor. Since then she’s organized with IndyMedia, Occupy Oakland, and most recently with Solidaridad Con Los Ninos, a group that organizes caravans to visit detainment centers. She loves street art, poetry, and dancing with wild abandon.'] Entities: [{'head': ['0', '1', 'PERSON', 'Karma'], 'tail': ['12', '13', 'ORG', 'Americorps']}] Relation:
[ [ { "head": [ "0", "1", "PERSON", "Karma" ], "tail": [ "12", "13", "ORG", "Americorps" ] } ], [ { "head": [ "0", "1", "PERSON", "Karma" ], "tail": [ "19", "23", "ORG", "the California Writers Club" ] } ], [ { "head": [ "0", "1", "PERSON", "Karma" ], "tail": [ "25", "26", "ORDINAL", "first" ] } ], [ { "head": [ "0", "1", "PERSON", "Karma" ], "tail": [ "34", "35", "ORG", "Westcott" ] } ], [ { "head": [ "0", "1", "PERSON", "Karma" ], "tail": [ "40", "43", "DATE", "100+ day" ] } ], [ { "head": [ "0", "1", "PERSON", "Karma" ], "tail": [ "57", "58", "ORG", "IndyMedia" ] } ], [ { "head": [ "0", "1", "PERSON", "Karma" ], "tail": [ "59", "61", "ORG", "Occupy Oakland" ] } ], [ { "head": [ "0", "1", "PERSON", "Karma" ], "tail": [ "66", "70", "ORG", "Solidaridad Con Los Ninos" ] } ], [ { "head": [ "12", "13", "ORG", "Americorps" ], "tail": [ "0", "1", "PERSON", "Karma" ] } ], [ { "head": [ "12", "13", "ORG", "Americorps" ], "tail": [ "19", "23", "ORG", "the California Writers Club" ] } ], [ { "head": [ "12", "13", "ORG", "Americorps" ], "tail": [ "25", "26", "ORDINAL", "first" ] } ], [ { "head": [ "12", "13", "ORG", "Americorps" ], "tail": [ "34", "35", "ORG", "Westcott" ] } ], [ { "head": [ "12", "13", "ORG", "Americorps" ], "tail": [ "40", "43", "DATE", "100+ day" ] } ], [ { "head": [ "12", "13", "ORG", "Americorps" ], "tail": [ "57", "58", "ORG", "IndyMedia" ] } ], [ { "head": [ "12", "13", "ORG", "Americorps" ], "tail": [ "59", "61", "ORG", "Occupy Oakland" ] } ], [ { "head": [ "12", "13", "ORG", "Americorps" ], "tail": [ "66", "70", "ORG", "Solidaridad Con Los Ninos" ] } ], [ { "head": [ "19", "23", "ORG", "the California Writers Club" ], "tail": [ "0", "1", "PERSON", "Karma" ] } ], [ { "head": [ "19", "23", "ORG", "the California Writers Club" ], "tail": [ "12", "13", "ORG", "Americorps" ] } ], [ { "head": [ "19", "23", "ORG", "the California Writers Club" ], "tail": [ "25", "26", "ORDINAL", "first" ] } ], [ { "head": [ "19", "23", "ORG", "the California Writers Club" 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673
675
[ "It’s been another brutal winter in the Midwest, with weather repeatedly impacting our Chicago hub operation. One customer whose flight was cancelled took time to recognize Envoy Passenger Service Agent Elizabeth (Liz) Dianzo for her rebooking assistance.\n“Liz processed almost the whole flight,” wrote the customer. “She was fast and honest, providing customers with useful advice on the situation and their new flight. I have personally never seen a gate agent with such command for her craft and attention to customer needs. I have taken hundreds of flights and this is the first time I have ever written a compliment – Liz is the greatest!”\nWe couldn’t agree more – thanks, Liz!" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['It’s been another brutal winter in the Midwest, with weather repeatedly impacting our Chicago hub operation. One customer whose flight was cancelled took time to recognize Envoy Passenger Service Agent Elizabeth (Liz) Dianzo for her rebooking assistance.\n“Liz processed almost the whole flight,” wrote the customer. “She was fast and honest, providing customers with useful advice on the situation and their new flight. I have personally never seen a gate agent with such command for her craft and attention to customer needs. I have taken hundreds of flights and this is the first time I have ever written a compliment – Liz is the greatest!”\nWe couldn’t agree more – thanks, Liz!'] Entities: [{'head': ['5', '6', 'DATE', 'winter'], 'tail': ['8', '9', 'LOC', 'Midwest']}] Relation:
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[ " LOCATION_AFFECTED_BY_EVENT", " IMPACTED_LOCATION", " IMPACTED_BY", " CAUSED_BY", " CAUSED_BY", " CAUSED_BY", " CAUSED_BY", " LOCATION_AFFECTED_BY_TIME_PERIOD", " LOCATION_OF\n\n Entities: \n [{'head': ['", " LOCATION_AFFECTS\n\n Entities: \n [{'", " LOCATION_OF\n Or, if you prefer:\n Midwest_is", " LOCATION_AFFECTED_BY_PERSON", " LOCATION_AFFECTS_PERSON", " NO_RELATION", " LOCATION_AFFECTED_BY_EVENT", " LOCATION_AFFECTED_EVENT\n\n Explanation:\n ", " LOCATION_AFFECTED_EVENT\n\n Explanation:\n ", " AFFECTED_BY", " LOCATION_OF\n\n Entities: \n [{'head': ['", " LOCATION_OF\n\n Entities: \n [{'head': ['", " LOCATION_OF\n or\n ORGANIZATION_HEADQUART", " LOCATION_OF\n or\n ASSOCIATED_WITH\n or", " LOCATION_OF\n or\n ASSOCIATED_WITH\n or", " LOCATION_OF\n or\n NO_RELATION (depending on whether", " LOCATION_OF\n\n Explanation:\n The text describes Chicago as", " LOCATION_OF\n or\n ASSOCIATED_WITH\n or", " LOCATION_OF\n or\n ASSOCIATED_WITH\n or", " LOCATION_AFFECTED_BY_EVENT", " LOCATION_OF\n\n Entities: \n [{'head': ['", " HELPED_BY", " HELPED", " HELPED", " HELPED", " HELPED", " IMPACTED_BY", " LOCATION_AFFECTED_BY_ORGANIZATION", " LOCATION_OF\n\n Explanation:\n The text describes how the", " PROCESSSED_BY\n\n Entities: \n [{'head': ['", " ORGANIZATION_EMPLOYEE", " ASSISTED_BY", " HAS_PROCESSed\n\n Entities: \n [{'head':", " WRITE_COMPLIMENT", " ASSISTED_BY", " ASSISTED_BY", " CAUSED_BY", " LOCATION_AFFECTED_BY_PERSON", " LOCATION_OF\n or\n ASSIGNED_TO\n or\n", " PROCESSED_FOR\n\n Explanation:\n The text states that", " WORKS_FOR", " SELF", " HAS_ASSISTED_WITH\n OR\n HELPED\n ", " The customer wrote the first compliment for Elizabeth (Liz) Dianzo.", " SELF", " SELF", " CAUSED_BY\n\n Explanation:\n The text states that the brutal", " LOCATION_AFFECTED_BY_PERSON", " LOCATION_OF\n or\n OCCURRED_IN\n\n ", " PROCESSSED_BY", " WORKS_FOR", " SELF", " HAS_PROCESSED_X_FLIGHTS", " NO_RELATION", " SELF_RELATION\n\n Explanation:\n The text mentions", " SELF_RELATION\n\n Explanation:\n The text describes the", " NO_RELATION", " The customer has taken 'hundreds' of flights FROM Chicago.", " TAKEN_FROM\n\n Explanation:\n The text states that the", " WRITTEN_COMPLIMENT_BY\n (Note: The entities are", " WRITTEN_COMPLIMENT_BY", " WRITTEN_COMPLIMENT_BY", " WRITTEN_COMPLIMENT_BY", " LOCATION_AFFECTED_BY_EVENT", " LOCATION_OF\n\n Explanation:\n The text describes a customer", " WRITTEN_COMPLIMENT_BY", " WRITTEN_COMPLIMENT_BY", " WRITTEN_COMPLIMENT_BY", " WRITTEN_COMPLIMENT_BY", " WRITTEN_COMPLIMENT_BY", " CAUSED_BY", " LOCATION_AFFECTED_BY_PERSON", " LOCATION_OF\n or\n OCCURRED_IN\n\n ", " PROCESSED_FOR\n\n Explanation:\n The text states that", " WORKS_FOR", " SELF", " SELF_RELATION\n\n Explanation:\n The text describes how", " HAS_PROCESSED_X_FLIGHTS", " FIRST_COMPLIMENTER_OF", " SELF_RELATION\n\n Explanation:\n The text describes how", " CAUSED_BY\n\n Explanation:\n The text states that the brutal", " IMPACTS", " LOCATION_OF\n or\n OCCURRED_IN\n\n ", " PROCESSED_FOR\n\n Explanation:\n The text describes how", " WORKS_FOR", " SELF", " SELF_RELATION\n\n Explanation:\n The text describes a", " HAS_PROCESSED_X_FLIGHTS", " FIRST_COMPLIMENTED", " SELF_RELATION\n\n Explanation:\n The text mentions" ]
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674
676
[ "Rob is a talented batsman from Lancashire. He was a member of the 2014 England Under 19s World Cup team. Rob made his First Class debut in 2016 and, in his 3rd game ,he made his maiden first class century. He has since gone on to play all 3 formats for Lancashire.\nRob spends much of his time enjoying the great outdoors be that by the coast, in the mountains or a forest.\nHis main love is walking the UK Peaks where he can completely immerse himself in nature. Rob does this solo and also with walking and climbing groups adding a social element to his adventures. Come rain or shine, he’s out there exploring whenever he gets the chance and loves sharing it with the people around him." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Rob is a talented batsman from Lancashire. He was a member of the 2014 England Under 19s World Cup team. Rob made his First Class debut in 2016 and, in his 3rd game ,he made his maiden first class century. He has since gone on to play all 3 formats for Lancashire.\nRob spends much of his time enjoying the great outdoors be that by the coast, in the mountains or a forest.\nHis main love is walking the UK Peaks where he can completely immerse himself in nature. Rob does this solo and also with walking and climbing groups adding a social element to his adventures. Come rain or shine, he’s out there exploring whenever he gets the chance and loves sharing it with the people around him.'] Entities: [{'head': ['0', '1', 'PERSON', 'Rob'], 'tail': ['6', '7', 'GPE', 'Lancashire']}] Relation:
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[ " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " SAME_PERSON", " DEBUTED_IN", " MADE_DEBUT", " MAIDEN_CENTURY_GAME", " MAIDEN_OF_EVENT", " MADE_FIRST_CLASS_DEBUT_IN", " MEMBER_OF", " SAME_PERSON", " ENJOYS_LOCATION", " SELF_REFERENCE", " BELONGS_TO", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " BELONGS_TO", " PLAYS_IN", " DEBUTED_IN", " DEBUTED_IN", " PLAYS_FOR", " PLAYED_FOR", " LOCATION_IN_LOCATION", " BELONGS_TO", " ENJOYS_LOCATION", " PLAYS_FOR", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " DEBUTED_IN", " MEMBER_OF", " MEMBER_OF", " ENJOYS\n\n Explanation:\n The text states that \"Rob", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " DEBUTED_IN", " MADE_DEBUT", " MADE_DEBUT", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " ENJOYS_LOCATION", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " DEBUTED_IN", " MEMBER_OF", " MEMBER_OF", " ENJOYS\n\n Explanation:\n The text states that \"Rob", " MEMBER_OF", " SELF_REFERENCE", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " DEBUTED_IN", " MADE_DEBUT", " MAIDEN_CENTURY", " MAIDEN_FIRST_CLASS_CENTURY", " MADE_MAIDEN_CENTURY_IN_GAME_NUMBER", " MEMBER_OF", " SAME_PERSON", " ENJOYS_LOCATION", " MADE_MAIDEN_CENTURY_OF_FIRST_CLASS_", " MADE_DEBUT", " PLAYS_FOR", " MADE_DEBUT", " DEBUTED_FOR", " MEMBER_OF", " MADE_DEBUT", " MADE_DEBUT", " MADE_DEBUT", " MADE_FIRST_APPEARANCE_IN", " MADE_DEBUT", " PLAYS_FOR", " MADE_DEBUT", " ENJOYS_LOCATION", " DEBUTED_FOR", " MADE_DEBUT", " MADE_DEBUT", " MADE_DEBUT", " MADE_DEBUT", " MADE_DEBUT", " MADE_DEBUT", " MADE_DEBUT", " ENJOYS\n\n Explanation:\n The text states that \"Rob", " MAIDEN_CENTURY", " MAIDEN_CENTURY", " DEBUTED_IN", " MEMBER_OF", " MAIDEN_CENTURY", " MADE_DEBUT", " DEBUTS_IN", " MAIDEN_CENTURY", " ENJOYS\n\n Explanation:\n The text states that \"Rob", " MAIDEN_CENTURY", " MAIDEN_OF\n\n Explanation:\n The text states that \"", " PLAYS_FOR", " MEMBER_OF", " MADE_FIRST_CLASS_DEBUT", " DEBUTED_IN", " PLAYS_FOR", " MAIDEN_OF\n\n Explanation:\n The text states that \"", " ENJOYS\n\n Explanation:\n The text states that \"His", " MAIDEN_OF\n\n Explanation:\n The text states that \"", " PLAYED_FOR", " MEMBER_OF", " MEMBER_OF", " SPOUSE_OF\n\n Explanation:\n I'm sorry,", " DEBUTED_IN", " BELONGS_TO", " SPOUSE_OR_CHILD\n\n (This is incorrect, the text does", " ENJOYS_LOCATION", " MAIDEN_OF_CENTURY", " BELONGS_TO", " LOCATION_IN_LOCATION", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " PLAYS_IN", " DEBUTED_IN", " DEBUTED_IN", " PLAYS_FOR", " PLAYED_FOR", " MEMBER_OF", " ENJOYS_LOCATION", " MEMBER_OF", " SELF_REFERENCE", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " SAME_PERSON", " DEBUTED_IN", " MADE_DEBUT", " MAIDEN_CENTURY_GAME", " MAIDEN_FIRST_CLASS_CENTURY", " MADE_MAIDEN_CENTURY_IN_GAME_NUMBER", " MEMBER_OF", " ENJOYS_LOCATION", " SELF_REFERENCE", " LOVES\n\n Explanation:\n The text states that \"Rob does", " LOCATION_IN_LOCATION", " LOCATION_OF\n or\n NO_RELATION", " LOCATION_IN_REGION", " NO_RELATION.", " ENJOYS\n\n Explanation:\n The text states that \"Rob", " ENJOYS\n\n Explanation:\n The text states that \"Rob", " NO_RELATION", " ENJOYS_ACTIVITY_AT_LOCATION", " LOVES_TO_DO\n\n Explanation:\n The text states", " LOVES_PLACE_WITH_QUANTITY", " LOCATION_IN_LOCATION", " LOVES\n\n Explanation:\n The text states that \"Rob does", " ENJOYS\n\n Explanation:\n The text states that \"Rob", " SAME_PERSON", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " SAME_PERSON", " DEBUTED_FOR", " MADE_DEBUT", " MAIDEN_CENTURY", " MAIDEN_CENTURY", " MADE_MAIDEN_CENTURY_IN_GAME_NUMBER", " MEMBER_OF", " SAME_PERSON", " ENJOYS_LOCATION" ]
[ [ "0", "1", "PERSON", "Rob" ], [ "6", "7", "GPE", "Lancashire" ], [ "14", "15", "DATE", "2014" ], [ "15", "16", "GPE", "England" ], [ "18", "20", "EVENT", "World Cup" ], [ "22", "23", "PERSON", "Rob" ], [ "25", "27", "ORG", "First Class" ], [ "29", "30", "DATE", "2016" ], [ "34", "35", "ORDINAL", "3rd" ], [ "41", "42", "ORDINAL", "first" ], [ "53", "54", "CARDINAL", "3" ], [ "56", "57", "GPE", "Lancashire" ], [ "59", "60", "PERSON", "Rob" ], [ "88", "91", "LOC", "the UK Peaks" ], [ "100", "101", "PERSON", "Rob" ] ]
675
677
[ "Idiot's guide to Islam: The purpose of this blog is to inform, explain and enlighten people from all over the world about the origins of the Quran and Muhammadan Islam.\nWe shall explore almost every aspect of Muhammadan Islam from its very beginnings till modern times, relying almost ENTIRELY upon the Arabic and Islamic sources themselves to prove the statements and conclusions here in declared.\nSaturday 26 July 2008\nWas Muhammad Predicted in the Bible? Part 82\nThe Quran states that Muhammad was PREDICTED in the Torah & the Gospels." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ["Idiot's guide to Islam: The purpose of this blog is to inform, explain and enlighten people from all over the world about the origins of the Quran and Muhammadan Islam.\nWe shall explore almost every aspect of Muhammadan Islam from its very beginnings till modern times, relying almost ENTIRELY upon the Arabic and Islamic sources themselves to prove the statements and conclusions here in declared.\nSaturday 26 July 2008\nWas Muhammad Predicted in the Bible? Part 82\nThe Quran states that Muhammad was PREDICTED in the Torah & the Gospels."] Entities: [{'head': ['0', '1', 'PERSON', 'Idiot'], 'tail': ['4', '5', 'ORG', 'Islam']}] Relation:
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"tail": [ "86", "87", "CARDINAL", "82" ] } ], [ { "head": [ "92", "93", "PERSON", "Muhammad" ], "tail": [ "89", "90", "WORK_OF_ART", "Quran" ] } ] ]
[ " NO_RELATION", " MENTIONED_IN.", " PREDICTED_BY", " PREDICTED_BY", " NO_RELATION. The text does not provide enough context to establish a relation between 'Id", " WRITES_ABOUT", " NO_RELATION", " PREDICTED_BY", " PREDICTED_BY", " NO_RELATION", " NO_RELATION", " PREDICTED_BY", " NO_RELATION", " PREDICTED_BY", " PREDICTED_IN.", " PREDICTED_IN.", " SOURCE_MATERIAL", " ORIGIN_OF", " NO_RELATION", " PREDICTED_IN.", " PREDICTED_IN.", " PREDICTED_IN.", " PREDICTED_IN.", " PREDICTED_IN.", " WRITES_ABOUT", " PREDICTED_IN.", " PREDICTED_BY", " PREDICTED_BY", " WRITES_ABOUT", " ORIGIN_OF", " PREDICTED_BY", " PREDICTED_BY", " PREDICTED_BY", " ORIGIN_OF", " PREDICTED_BY", " PREDICTED_BY", " NO_RELATION", " PREDICTED_BY", " PREDICTED_BY", " PREDICTED_BY", " AUTHOR_OF\n\n Explanation:\n The text states that the blog", " ORIGIN_OF", " PREDICTED_BY", " PREDICTED_BY", " NO_RELATION", " DISCUES_TOPIC", " PREDICTED_BY", " PREDICTED_BY", " PREDICTED_BY", " PREDICTED_BY", " PREDICTED_BY", " PREDICTED_BY", " PREDICTED_BY", " PREDICTED_BY", " PREDICTED_BY", " EVENT_MENTIONED_DATE", " PREDICTED_BY", " PREDICTED_BY", " PREDICTED_BY", " PREDICTED_BY", " MENTIONED_IN.", " PREDICTED_IN.", " PREDICTED_BY", " PREDICTED_BY", " WRITES_ABOUT", " PREDICTED_BY", " PREDICTED_BY", " PREDICTED_BY", " WRITES_ABOUT", " PREDICTED_IN.", " PREDICTED_BY", " PREDICTED_BY", " PREDICTED_BY", " PREDICTED_BY", " PREDICTED_BY", " PREDICTED_BY", " PREDICTED_BY", " PREDICTED_BY", " PREDICTED_BY", " EVENT_MENTIONED_DATE", " PREDICTED_BY", " PREDICTED_IN.", " PREDICTED_BY", " PREDICTED_BY" ]
[ [ "0", "1", "PERSON", "Idiot" ], [ "4", "5", "ORG", "Islam" ], [ "29", "30", "WORK_OF_ART", "Quran" ], [ "31", "32", "NORP", "Muhammadan" ], [ "42", "43", "NORP", "Muhammadan" ], [ "57", "58", "NORP", "Arabic" ], [ "59", "60", "NORP", "Islamic" ], [ "73", "77", "DATE", "Saturday 26 July 2008" ], [ "79", "80", "PERSON", "Muhammad" ], [ "83", "84", "WORK_OF_ART", "Bible" ], [ "86", "87", "CARDINAL", "82" ], [ "89", "90", "WORK_OF_ART", "Quran" ], [ "92", "93", "PERSON", "Muhammad" ] ]
676
678
[ "Scented Garden (Northcott) : Grey Floral Tone on Tone 23975-92\nThe Sweet Scent of early summer flourishes in this fanfare of flora and foliage, butterflies and bees created by Deborah Edwards.\n- 100% Cotton\n- 43\"/44\" wide\n- Manufactured by Northcott\nAll yardage is cut continuously, if you order 2 of the 1/4 meter, a half meter is cut.\nThe Bobbin Robin Shop's Motto is Creating and Donating, a potion of the sale from this fabric will be donated to this months Charity\nDue to lighting variations colours may not be exactly as shown\nHaven’t used it yet, but just the feel of the fabric is beautiful.\nI am a fan of all things Northcott. Their quality rocks! This tone on tone is perfect in a quilt. It adds more interest than a solid grey." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Scented Garden (Northcott) : Grey Floral Tone on Tone 23975-92\nThe Sweet Scent of early summer flourishes in this fanfare of flora and foliage, butterflies and bees created by Deborah Edwards.\n- 100% Cotton\n- 43"/44" wide\n- Manufactured by Northcott\nAll yardage is cut continuously, if you order 2 of the 1/4 meter, a half meter is cut.\nThe Bobbin Robin Shop\'s Motto is Creating and Donating, a potion of the sale from this fabric will be donated to this months Charity\nDue to lighting variations colours may not be exactly as shown\nHaven’t used it yet, but just the feel of the fabric is beautiful.\nI am a fan of all things Northcott. Their quality rocks! This tone on tone is perfect in a quilt. It adds more interest than a solid grey.'] Entities: [{'head': ['3', '4', 'ORG', 'Northcott'], 'tail': ['19', '21', 'DATE', 'early summer']}] Relation:
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], [ { "head": [ "35", "37", "PERSON", "Deborah Edwards" ], "tail": [ "139", "140", "ORG", "Northcott" ] } ], [ { "head": [ "40", "42", "PERCENT", "100%" ], "tail": [ "3", "4", "ORG", "Northcott" ] } ], [ { "head": [ "40", "42", "PERCENT", "100%" ], "tail": [ "35", "37", "PERSON", "Deborah Edwards" ] } ], [ { "head": [ "40", "42", "PERCENT", "100%" ], "tail": [ "52", "53", "ORG", "Northcott" ] } ], [ { "head": [ "40", "42", "PERCENT", "100%" ], "tail": [ "76", "81", "ORG", "The Bobbin Robin Shop's" ] } ], [ { "head": [ "40", "42", "PERCENT", "100%" ], "tail": [ "101", "102", "ORG", "Charity" ] } ], [ { "head": [ "40", "42", "PERCENT", "100%" ], "tail": [ "139", "140", "ORG", "Northcott" ] } ], [ { "head": [ "45", "47", "QUANTITY", "43\"/44\"" ], "tail": [ "3", "4", "ORG", "Northcott" ] } ], [ { "head": [ "45", "47", "QUANTITY", "43\"/44\"" ], "tail": [ "35", "37", "PERSON", "Deborah Edwards" ] } ], [ { "head": [ "45", "47", "QUANTITY", "43\"/44\"" ], "tail": [ "52", "53", "ORG", "Northcott" ] } ], [ { "head": [ "45", "47", "QUANTITY", "43\"/44\"" ], "tail": [ "76", "81", "ORG", "The Bobbin Robin Shop's" ] } ], [ { "head": [ "45", "47", "QUANTITY", "43\"/44\"" ], "tail": [ "101", "102", "ORG", "Charity" ] } ], [ { "head": [ "45", "47", "QUANTITY", "43\"/44\"" ], "tail": [ "139", "140", "ORG", "Northcott" ] } ], [ { "head": [ "52", "53", "ORG", "Northcott" ], "tail": [ "3", "4", "ORG", "Northcott" ] } ], [ { "head": [ "52", "53", "ORG", "Northcott" ], "tail": [ "19", "21", "DATE", "early summer" ] } ], [ { "head": [ "52", "53", "ORG", "Northcott" ], "tail": [ "35", "37", "PERSON", "Deborah Edwards" ] } ], [ { "head": [ "52", "53", "ORG", "Northcott" ], "tail": [ "40", "42", "PERCENT", "100%" ] } ], [ { "head": [ "52", "53", "ORG", "Northcott" ], "tail": [ "45", "47", "QUANTITY", "43\"/44\"" ] } ], [ { "head": [ "52", "53", "ORG", "Northcott" ], "tail": [ "63", "64", "CARDINAL", "2" ] } ], [ { "head": [ "52", "53", "ORG", "Northcott" ], "tail": [ "65", "68", "QUANTITY", "the 1/4 meter" ] } ], [ { "head": [ "52", "53", "ORG", "Northcott" ], "tail": [ "69", "72", "QUANTITY", "a half meter" ] } ], [ { "head": [ "52", "53", "ORG", "Northcott" ], "tail": [ "76", "81", "ORG", "The Bobbin Robin Shop's" ] } ], [ { "head": [ "52", "53", "ORG", "Northcott" ], "tail": [ "99", "101", "DATE", "this months" ] } ], [ { "head": [ "52", "53", "ORG", "Northcott" ], "tail": [ "101", "102", "ORG", "Charity" ] } ], [ { "head": [ "52", "53", "ORG", "Northcott" ], "tail": [ "139", "140", "ORG", "Northcott" ] } ], [ { "head": [ "63", "64", "CARDINAL", "2" ], "tail": [ "3", "4", "ORG", "Northcott" ] } ], [ { "head": [ "63", "64", "CARDINAL", "2" ], "tail": [ "35", "37", "PERSON", "Deborah Edwards" ] } ], [ { "head": [ "63", "64", "CARDINAL", "2" ], "tail": [ "52", "53", "ORG", "Northcott" ] } ], [ { "head": [ "63", "64", "CARDINAL", "2" ], "tail": [ "76", "81", "ORG", "The Bobbin Robin Shop's" ] } ], [ { "head": [ "63", "64", "CARDINAL", "2" ], "tail": [ "101", "102", "ORG", "Charity" ] } ], [ { "head": [ "63", "64", "CARDINAL", "2" ], "tail": [ "139", "140", "ORG", "Northcott" ] } ], [ { "head": [ "65", "68", "QUANTITY", "the 1/4 meter" ], "tail": [ "3", "4", "ORG", "Northcott" ] } ], [ { "head": [ "65", "68", "QUANTITY", "the 1/4 meter" ], "tail": [ "35", "37", "PERSON", "Deborah Edwards" ] } ], [ { "head": [ "65", "68", "QUANTITY", "the 1/4 meter" ], "tail": [ "52", "53", "ORG", "Northcott" ] } ], [ { "head": [ "65", "68", "QUANTITY", "the 1/4 meter" ], "tail": [ "76", "81", "ORG", "The Bobbin Robin Shop's" ] } ], [ { "head": [ "65", "68", "QUANTITY", "the 1/4 meter" ], "tail": [ "101", "102", "ORG", "Charity" ] } ], [ { "head": [ "65", "68", "QUANTITY", "the 1/4 meter" ], "tail": [ "139", "140", "ORG", "Northcott" ] } ], [ { "head": [ "69", "72", "QUANTITY", "a half meter" ], "tail": [ "3", "4", "ORG", "Northcott" ] } ], [ { "head": [ "69", "72", "QUANTITY", "a half meter" ], "tail": [ "35", "37", "PERSON", "Deborah Edwards" ] } ], [ { "head": [ "69", "72", "QUANTITY", "a half meter" ], "tail": [ "52", "53", "ORG", "Northcott" ] } ], [ { "head": [ "69", "72", "QUANTITY", "a half meter" ], "tail": [ "76", "81", "ORG", "The Bobbin Robin Shop's" ] } ], [ { "head": [ "69", "72", "QUANTITY", "a half meter" ], "tail": [ "101", "102", "ORG", "Charity" ] } ], [ { "head": [ "69", "72", "QUANTITY", "a half meter" ], "tail": [ "139", "140", "ORG", "Northcott" ] } ], [ { "head": [ "76", "81", "ORG", "The Bobbin Robin Shop's" ], "tail": [ "3", "4", "ORG", "Northcott" ] } ], [ { "head": [ "76", "81", "ORG", "The Bobbin Robin Shop's" ], "tail": [ "19", "21", "DATE", "early summer" ] } ], [ { "head": [ "76", "81", "ORG", "The Bobbin Robin Shop's" ], "tail": [ "35", "37", "PERSON", "Deborah Edwards" ] } ], [ { "head": [ "76", "81", "ORG", "The Bobbin Robin Shop's" ], "tail": [ "40", "42", "PERCENT", "100%" ] } ], [ { "head": [ "76", "81", "ORG", "The Bobbin Robin Shop's" ], "tail": [ "45", "47", "QUANTITY", "43\"/44\"" ] } ], [ { "head": [ "76", "81", "ORG", "The Bobbin Robin Shop's" ], "tail": [ "52", "53", "ORG", "Northcott" ] } ], [ { "head": [ "76", "81", "ORG", "The Bobbin Robin Shop's" ], "tail": [ "63", "64", "CARDINAL", "2" ] } ], [ { "head": [ "76", "81", "ORG", "The Bobbin Robin Shop's" ], "tail": [ "65", "68", "QUANTITY", "the 1/4 meter" ] } ], [ { "head": [ "76", "81", "ORG", "The Bobbin Robin Shop's" ], "tail": [ "69", "72", "QUANTITY", "a half meter" ] } ], [ { "head": [ "76", "81", "ORG", "The Bobbin Robin Shop's" ], "tail": [ "99", "101", "DATE", "this months" ] } ], [ { "head": [ "76", "81", "ORG", "The Bobbin Robin Shop's" ], "tail": [ "101", "102", "ORG", "Charity" ] } ], [ { "head": [ "76", "81", "ORG", "The Bobbin Robin Shop's" ], "tail": [ "139", "140", "ORG", "Northcott" ] } ], [ { "head": [ "99", "101", "DATE", "this months" ], "tail": [ "3", "4", "ORG", "Northcott" ] } ], [ { "head": [ "99", "101", "DATE", "this months" ], "tail": [ "35", "37", "PERSON", "Deborah Edwards" ] } ], [ { "head": [ "99", "101", "DATE", "this months" ], "tail": [ "52", "53", "ORG", "Northcott" ] } ], [ { "head": [ "99", "101", "DATE", "this months" ], "tail": [ "76", "81", "ORG", "The Bobbin Robin Shop's" ] } ], [ { "head": [ "99", "101", "DATE", "this months" ], "tail": [ "101", "102", "ORG", "Charity" ] } ], [ { "head": [ "99", "101", "DATE", "this months" ], "tail": [ "139", "140", "ORG", "Northcott" ] } ], [ { "head": [ "101", "102", "ORG", "Charity" ], "tail": [ "3", "4", "ORG", "Northcott" ] } ], [ { "head": [ "101", "102", "ORG", "Charity" ], "tail": [ "19", "21", "DATE", "early summer" ] } ], [ { "head": [ "101", "102", "ORG", "Charity" ], "tail": [ "35", "37", "PERSON", "Deborah Edwards" ] } ], [ { "head": [ "101", "102", "ORG", "Charity" ], "tail": [ "40", "42", "PERCENT", "100%" ] } ], [ { "head": [ "101", "102", "ORG", "Charity" ], "tail": [ "45", "47", "QUANTITY", "43\"/44\"" ] } ], [ { "head": [ "101", "102", "ORG", "Charity" ], "tail": [ "52", "53", "ORG", "Northcott" ] } ], [ { "head": [ "101", "102", "ORG", "Charity" ], "tail": [ "63", "64", "CARDINAL", "2" ] } ], [ { "head": [ "101", "102", "ORG", "Charity" ], "tail": [ "65", "68", "QUANTITY", "the 1/4 meter" ] } ], [ { "head": [ "101", "102", "ORG", "Charity" ], "tail": [ "69", "72", "QUANTITY", "a half meter" ] } ], [ { "head": [ "101", "102", "ORG", "Charity" ], "tail": [ "76", "81", "ORG", "The Bobbin Robin Shop's" ] } ], [ { "head": [ "101", "102", "ORG", "Charity" ], "tail": [ "99", "101", "DATE", "this months" ] } ], [ { "head": [ "101", "102", "ORG", "Charity" ], "tail": [ "139", "140", "ORG", "Northcott" ] } ], [ { "head": [ "139", "140", "ORG", "Northcott" ], "tail": [ "3", "4", "ORG", "Northcott" ] } ], [ { "head": [ "139", "140", "ORG", "Northcott" ], "tail": [ "19", "21", "DATE", "early summer" ] } ], [ { "head": [ "139", "140", "ORG", "Northcott" ], "tail": [ "35", "37", "PERSON", "Deborah Edwards" ] } ], [ { "head": [ "139", "140", "ORG", "Northcott" ], "tail": [ "40", "42", "PERCENT", "100%" ] } ], [ { "head": [ "139", "140", "ORG", "Northcott" ], "tail": [ "45", "47", "QUANTITY", "43\"/44\"" ] } ], [ { "head": [ "139", "140", "ORG", "Northcott" ], "tail": [ "52", "53", "ORG", "Northcott" ] } ], [ { "head": [ "139", "140", "ORG", "Northcott" ], "tail": [ "63", "64", "CARDINAL", "2" ] } ], [ { "head": [ "139", "140", "ORG", "Northcott" ], "tail": [ "65", "68", "QUANTITY", "the 1/4 meter" ] } ], [ { "head": [ "139", "140", "ORG", "Northcott" ], "tail": [ "69", "72", "QUANTITY", "a half meter" ] } ], [ { "head": [ "139", "140", "ORG", "Northcott" ], "tail": [ "76", "81", "ORG", "The Bobbin Robin Shop's" ] } ], [ { "head": [ "139", "140", "ORG", "Northcott" ], "tail": [ "99", "101", "DATE", "this months" ] } ], [ { "head": [ "139", "140", "ORG", "Northcott" ], "tail": [ "101", "102", "ORG", "Charity" ] } ] ]
[ " FLORISHES_IN\n\n Explanation:\n The text describes", " MANUFACTURED_BY", " MANUFACTURED_BY", " MANUFACTURED_BY", " MANUFACTURED_BY", " MANUFACTURED_BY", " MANUFACTURED_BY", " CUTS_INTO", " MANUFACTURER", " CHARITY_MONTH_OF_SALE", " DONATES_TO", " MANUFACTURED_BY", " FLORISHES_IN\n\n Explanation:\n The text states", " FLOWERS_FROM (early summer, Deborah Edwards)", " FLORISHES_IN\n\n Explanation:\n The text states", " CHARITY_EVENT\n\n Explanation:\n The entities represent the dates", " CAUSES_CHARITY_DONATION", " FLORISHES_IN\n\n Explanation:\n The text states", " CREATED_BY", " FLOWERS_BLOOM_TIME\n\n Explanation:\n ", " CREATED_BY", " DESIGNED_BY", " CREATED_BY", " CREATED_BY", " CREATED_BY", " CREATED_BY", " CREATED_BY", " CHARITY_EVENT_MONTH_FOR_PERSON", " A_PORTION_OF_THE_SALE_FROM", " CREATED_BY", " MANUFACTURED_BY", " CREATED_BY", " MANUFACTURED_BY", " SALES_FROM", " A_PORTION_OF_THE_SALE_FROM_X_IS_D", " MANUFACTURED_BY", " MANUFACTURED_BY", " CREATED_BY", " MANUFACTURED_BY", " SELLER_OF", " A_PORTION_OF_THE_SALE_FROM_X_WILL_", " MANUFACTURED_BY", " MANUFACTURED_BY", " FLORISHES_IN\n\n Explanation:\n The text states", " MANUFACTURED_BY", " MANUFACTURED_BY", " MANUFACTURED_BY", " MANUFACTURED_BY", " MANUFACTURED_BY", " CUTS", " MANUFACTURER", " CHARITY_EVENT_MONTHLY", " DONATION", " MANUFACTURED_BY", " MANUFACTURED_BY", " CREATED_BY", " MANUFACTURED_BY", " CHARITY_DONOR", " A_PORTION_OF_THE_SALE_FROM_ENTITY_1_", " MANUFACTURED_BY", " MANUFACTURED_BY", " CREATED_BY", " MANUFACTURED_BY", " SELLER_OF", " A_PORTION_OF_THE_SALE_FROM_THE_QUANTITY", " MANUFACTURED_BY", " MANUFACTURED_BY", " CREATED_BY", " MANUFACTURED_BY", " SALES_FROM", " PART_OF\n\n Explanation:\n The text mentions that \"a", " MANUFACTURED_BY", " CHARITY_DONOR", " CREATED_BY\n\n Explanation:\n The text states that \"", " CREATED_BY", " SALES_FROM\n\n Explanation:\n The text mentions that", " SELLS\n\n Explanation:\n The text states that \"a pot", " CHARITY_DONOR", " A_PORTION_OF_THE_SALE_FROM_THE_ENTITY_", " SELLER_OF\n\n Entities: \n [{'head': ['", " SALES_FROM\n\n Explanation:\n The text mentions that", " CHARITY_MONTH", " DONATES_TO", " CHARITY_AFFILIATION", " CHARITY_EVENT\n OR:\n DONATION\n OR:\n", " CHARITY_EVENT_FOR\n OR\n CHARITY_SUPPORTED_", " CHARITY_EVENT\n OR\n DONATION\n OR\n F", " CHARITY_EVENT_HOSTED_BY", " CHARITY_MONTHLY_DONATION", " CHARITY_EVENT\n OR\n DONATION\n OR\n F", " A portion_of_the_sale_from_this_fabric_will_", " CHARITY_HAS_EVENT\n OR\n CHARITY_IS_SUPPORT", " CHARITY_FOUNDED_BY\n or\n CHARITY_FO", " CHARITY_RECEIVES_PERCENT_OF_SALES", " CHARITY_RECEIVES_PRODUCT_WITH_SIZE", " A portion_of_the_sale_from\n OR\n Donations_", " CHARITY_DONATION", " CHARITY_RECEIVES_PROFIT", " CHARITY_RECEIVES\n\n Explanation:\n The text", " CHARITY_DONATION", " CHARITY_MONTH", " A portion_of_the_sale_from\n OR\n Charity_", " MANUFACTURED_BY", " FLORISHES_IN\n\n Explanation:\n The text describes", " MANUFACTURED_BY", " MANUFACTURED_BY", " MANUFACTURED_BY", " MANUFACTURED_BY", " MANUFACTURED_BY", " MANUFACTURED_BY", " MANUFACTURED_BY", " MANUFACTURER", " CHARITY_EVENT_MONTHLY", " DONATES_TO" ]
[ [ "3", "4", "ORG", "Northcott" ], [ "19", "21", "DATE", "early summer" ], [ "35", "37", "PERSON", "Deborah Edwards" ], [ "40", "42", "PERCENT", "100%" ], [ "45", "47", "QUANTITY", "43\"/44\"" ], [ "52", "53", "ORG", "Northcott" ], [ "63", "64", "CARDINAL", "2" ], [ "65", "68", "QUANTITY", "the 1/4 meter" ], [ "69", "72", "QUANTITY", "a half meter" ], [ "76", "81", "ORG", "The Bobbin Robin Shop's" ], [ "99", "101", "DATE", "this months" ], [ "101", "102", "ORG", "Charity" ], [ "139", "140", "ORG", "Northcott" ] ]
677
679
[ "Google is the most popular and most visited Search Engine in the World. Every day over 5,000,000,000 visitors visit Google for their search queries. buy do you know when and who founded Google?\nGoogle was founded by Larry Page and Sergey Brin while students at Stanford University. It was first incorporated as a privately held company on September 4, 1998. The initial public offering was on August 19, 2004. It raised $1.67 billion, implying a total value of $23 billion. Google’s rapid growth has sparked a sequence of new products, acquisitions and partnerships beyond its core search engine. Environmentalism, philanthropy and positive employee relations were from the start assigned an important role in establishing brand image. Google has been repeatedly named Fortune Magazine’s Number One Best Place to Work and most powerful brand in the world. According to Alexa website ranking service, Google is the most visited website in the World." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Google is the most popular and most visited Search Engine in the World. Every day over 5,000,000,000 visitors visit Google for their search queries. buy do you know when and who founded Google?\nGoogle was founded by Larry Page and Sergey Brin while students at Stanford University. It was first incorporated as a privately held company on September 4, 1998. The initial public offering was on August 19, 2004. It raised $1.67 billion, implying a total value of $23 billion. Google’s rapid growth has sparked a sequence of new products, acquisitions and partnerships beyond its core search engine. Environmentalism, philanthropy and positive employee relations were from the start assigned an important role in establishing brand image. Google has been repeatedly named Fortune Magazine’s Number One Best Place to Work and most powerful brand in the world. According to Alexa website ranking service, Google is the most visited website in the World.'] Entities: [{'head': ['0', '1', 'ORG', 'Google'], 'tail': ['14', '16', 'DATE', 'Every day']}] Relation:
[ [ { "head": [ "0", "1", "ORG", "Google" ], "tail": [ "14", "16", "DATE", "Every day" ] } ], [ { "head": [ "0", "1", "ORG", "Google" ], "tail": [ "17", "18", "CARDINAL", "5,000,000,000" ] } ], [ { "head": [ "0", "1", "ORG", "Google" ], "tail": [ "20", "21", "ORG", "Google" ] } ], [ { "head": [ "0", "1", "ORG", "Google" ], "tail": [ "34", "35", "ORG", "Google" ] } ], [ { "head": [ "0", "1", "ORG", "Google" ], "tail": [ "37", "38", "ORG", "Google" ] } ], [ { "head": [ "0", "1", "ORG", "Google" ], "tail": [ "41", "43", "PERSON", "Larry Page" ] } ], [ { "head": [ "0", "1", "ORG", "Google" ], "tail": [ "44", "46", "PERSON", "Sergey Brin" ] } ], [ { "head": [ "0", "1", "ORG", "Google" ], "tail": [ "49", "51", "ORG", "Stanford University" ] } ], [ { "head": [ "0", "1", "ORG", "Google" ], "tail": [ "62", "66", "DATE", "September 4, 1998" ] } ], [ { "head": [ "0", "1", "ORG", "Google" ], "tail": [ "73", "77", "DATE", "August 19, 2004" ] } ], [ { "head": [ "0", "1", "ORG", "Google" ], "tail": [ 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[ " VISITED_BY", " VISITED_BY\n OR\n HAS_VISITED\n\n", " SEARCH_ENGIN_OF\n OR\n SUBORD_ORG_OF", " SAME_ORG", " SAME_ORG", " FOUNDED_BY", " FOUNDER", " FOUNDED_BY", " FOUNDED", " IPO\n\n Or, if the entities are reversed:\n\n Entities", " FUNDING", " VALUE_OF", " SAME_ORG", " SAME_ORG", " MOST_VISITED_WEBSITE_OF\n\n Explanation:", " MOST_VISITED_WEBSITE_LABEL", " MOST_VISITED_WEBSITE", " SAME_ORG", " MOST_VISITED_IN.", " VISITED_BY", " VISITED_BY", " VISITED_BY", " VISITED_BY", " FOUNDER", " FOUNDED_BY", " STUDENT_AT.", " VISITED_BY", " VISITED_BY", " NO_RELATION", " MOST_VISITED_WEBSITE", " VISITED_BY", " VISITED_IN\n\n Entities: \n [{'head':", " VISITED_BY", " VISITED_BY", " VISITED_BY", " VISITED_BY", " FOUNDED_BY", " FOUNDER", " FOUNDED_AT", " VISITED_BY", " VISITED_BY", " MOST_VISITED_WEBSITE_BY_VISITORS_AT_", " MOST_VISITED_WEBSITE_BY_VISITORS", " VISITED_BY", " VISITED_BY\n Or\n NO_RELATION (if no relation", " SEARCH_ENGINE_IS_MOST_VISITED_WEBSITE", " VISITED_FREQUENCY", " VISITED_BY\n OR\n HAS_VISITED\n\n", " MOST_VISITED_WEBSITE", " SEARCH_ENGINE_IS_MOST_VISITED_WEBSITE", " FOUNDED_BY", " FOUNDER", " FOUNDED_BY", " FOUNDATION\n\n Entities: \n [{'head': ['62", " IPO\n\n Or, if the entities were reversed:\n\n Entities", " FUNDING", " VALUE_OF", " MOST_VISITED_WEBSITE", " MOST_VISITED_WEBSITE", " MOST_VISITED_WEBSITE_BY_ALEXA\n\n ", " MOST_VISITED_WEBSITE", " MOST_VISITED_WEBSITE", " MOST_VISITED_WEBSITE", " MOST_VISITED_LOCATION_BY_ORG", " SAME_ORG", " VISITED_BY", " VISITED_BY\n OR\n HAS_VISITOR_COUNT", " SAME_ORG", " SAME_ORG", " FOUNDED_BY", " FOUNDER", " FOUNDED_AT\n\n Explanation:\n The text states that \"", " FOUNDED", " IPO\n\n Or, if the entities are reversed:\n\n Entities", " FUNDING", " VALUE_OF", " SAME_ORG", " SAME_ORG", " MOST_VISITED_WEBSITE_BY_ALEXA\n\n ", " TOP_ENTITY_IS_NUMBER_ONE_ENTITY", " MOST_VISITED_WEBSITE", " SAME_ORG", " MOST_VISITED_WEBSITE_IN_THE_WORLD", " SAME_ORG", " VISITED_BY", " VISITED_BY\n OR\n HAS_VISITED\n\n", " SAME_ORG", " SAME_ORG", " FOUNDER", " FOUNDER", " FOUNDED_AT\n\n Explanation:\n The text states that \"", " FOUNDED", " IPO\n\n Or, if the entities are reversed:\n\n Entities", " FUNDING", " VALUE_OF", " SAME_ORG", " SAME_ORG", " MOST_VISITED_WEBSITE_BY_ALEXA\n\n ", " TOP_ENTITY_IS_NUMBER_ONE_ENTITY", " MOST_VISITED_WEBSITE", " SAME_ORG", " MOST_VISITED_WEBSITE_IN_THE_WORLD", " FOUNDED_BY", " VISITS\n\n Entities: \n [{'head': ['14", " FOUNDER_OF\n\n Entities: \n [{'head': ['", " FOUNDED_BY", " FOUNDED_BY", " FOUNDED_BY", " FOUNDER", " FOUNDED_AT", " FOUNDED_ON", " FOUNDED", " FUNDING", " FOUNDER_OF\n OR\n HAS_NET_WORTH\n", " FOUNDED_BY", " FOUNDED_BY", " HAS_BEEN_NAMED", " FOUNDER_OF", " MOST_VISITED_WEBSITE_BY_VISITORS", " FOUNDED_BY", " FOUNDER_OF\n\n Entities: \n [{'head': ['", " FOUNDED_BY", " VISITED_FREQUENCY", " FOUNDER_OF\n Or\n NO_RELATION (if the entities are", " FOUNDED_BY", " FOUNDER", " FOUNDED_BY", " FOUNDER", " FOUNDED_AT.\n\n Explanation:\n The text states that", " FOUNDED_ON", " FOUNDED", " FUNDING", " FOUNDER_OF", " FOUNDER", " FOUNDER", " HAS_BEEN_NAMED", " FOUNDER_OF", " MOST_VISITED_BY", " FOUNDED_BY", " FOUNDER_OF", " FOUNDED_AT\n\n Explanation:\n The text states that \"", " STARTED_AT", " STUDENT_AT\n OR\n FOUNDED_BY\n\n Ex", " FOUNDED_AT\n\n Explanation:\n The text states that \"", " FOUNDED_AT\n\n Explanation:\n The text states that \"", " FOUNDED_AT\n\n Explanation:\n The text states that \"", " FOUNDED_BY", " FOUNDER", " FOUNDED_ON", " FOUNDING_DATE", " FUNDING", " FOUNDED_BY. This relation indicates that the head entity (Stanford University)", " FOUNDED_AT\n\n Explanation:\n The text states that \"", " FOUNDED_AT\n\n Explanation:\n The text states that \"", " REPEATEDLY_NAMED", " FOUNDED_AT", " MOST_VISITED_BY", " FOUNDED_AT\n\n Explanation:\n The text states that \"", " EDUCATION_PLACE_OF\n\n Explanation:\n The", " INcorporated_ON.", " INcorporated_ON.", " INcorporated_ON.", " INcorporated_ON.", " FOUNDED_BY", " FOUNDED_BY", " FOUNDED_AT", " INcorporated_ON.", " INcorporated_ON.", " HAS_BEEN_NAMED", " MOST_VISITED_WEBSITE_BY_DATE", " INcorporated_ON.", " FOUNDATION.DATE_OF_FOUNDING.LOCATION", " IPO\n\n Explanation:\n The text mentions that 'Google was", " IPO\n\n Explanation:\n The text mentions that 'Google was", " IPO\n\n Explanation:\n The text mentions that 'Google was", " IPO\n\n Explanation:\n The text states that \"Google's", " IPO_BY\n\n [{'head': ['73', '77',", " IPO_BY.", " FOUNDED_AT\n\n Entities: \n [{'head': ['", " IPO\n\n Explanation:\n The text mentions that \"Google’", " IPO\n\n Explanation:\n The text mentions that \"Google’", " NUMERIC_LIST_MEMBER_OF\n\n Explanation:\n", " MOST_VISITED_WEBSITE_BY_ALEXA_SIN", " IPO\n\n Explanation:\n The text mentions that \"Google’", " IP_OFFERING", " FINANCED", " FINANCED", " FINANCED", " FINANCED", " FUNDING", " FUNDING", " FUNDING", " FINANCED", " FINANCED", " VALUE_OF\n\n Explanation:\n The text states that \"It", " VALUE_OF\n\n Explanation:\n The text states that \"Google", " FINANCED_BY", " FINANCED\n\n Explanation:\n The text states that \"", " VALUE_OF", " VALUE_OF", " VALUE_OF", " VALUE_OF", " FOUNDER", " FOUNDER", " FOUNDED_BY", " VALUE_OF", " VALUE_OF", " VALUE_OF\n\n Explanation:\n The text states that Fortune", " MOST_VISITED_WEBSITE", " VALUE_OF", " VALUE_OF", " SAME_ORG", " VISITED_FREQUENCY", " VISITED_BY\n OR\n HAS_VISITED\n\n", " FOUNDED_BY", " SAME_ORG", " SAME_ORG", " FOUNDED_BY", " FOUNDER", " FOUNDED_AT\n\n Explanation:\n The text states that \"", " FOUNDED", " IPO\n\n Or:\n\n [{'head': ['93', '", " FUNDING", " VALUE_OF", " SAME_ORGANIZATION", " MOST_VISITED_WEBSITE_BY_ALEXA\n\n ", " GOVERNMENT_OR_ORGANIZATION_IS_RANKED_", " MOST_VISITED_WEBSITE", " SAME_ORG", " MOST_VISITED_WEBSITE_IN_THE_WORLD", " SAME_ORG", " VISITED_BY", " VISITED_BY\n\n Entities: \n [{'head':", " SEARCH_ENGINE", " SAME_ORG", " SAME_ORG", " FOUNDED_BY", " FOUNDER", " FOUNDED_AT", " FOUNDED", " IPO\n\n Or, if the entities are reversed:\n\n Entities", " FUNDING", " VALUE_OF", " SAME_ORG", " HAS_BEEN_NAMED", " GOV_INFO\n\n Explanation:\n The text states that Google is", " MOST_VISITED_WEBSITE", " SAME_ORGANIZATION", " MOST_VISITED_WEBSITE_IN_THE_WORLD", " NUMBER_ONE_BEST_PLACE_TO_WORK", " NUMERIC_QUANTITY_OF_VISITS_PER_DAY_AT", " NUMBER_OF_VISITORS", " NUMBER_ONE_BEST_PLACE_TO_WORK", " NUMBER_ONE_BEST_PLACE_TO_WORK", " NUMBER_ONE_BEST_PLACE_TO_WORK", " REPEATEDLY_NAMED_NUMBER_ONE_BEST_PLACE_TO", " RECIPROCAL_OF_RELATION('NUMBER_ONE_BEST_PL", " NAMED_IN_ARTICLE\n\n Explanation:\n The", " FOUNDING_DATE", " NUMBER_ONE_BEST_PLACE_WORKED_ON\n\n ", " FUNDING", " VALUE_OF", " NUMBER_ONE_BEST_PLACE_TO_WORK", " NUMBER_ONE_BEST_PLACE_TO_WORK", " FORTUNE_500_RANK", " NUMBER_ONE_BEST_PLACE_TO_WORK_FOR\n\n", " NUMBER_ONE_BEST_PLACE_TO_WORK", " NUMBER_ONE_BEST_PLACE_TO_WORK_IN_THE", " MOST_VISITED_WEBSITE_OF.", " MOST_VISITED_WEBSITE_OF.", " MOST_VISITED_WEBSITE_OF.", " MOST_VISITED_WEBSITE_OF.", " FOUNDER", " FOUNDER", " FOUNDED_AT\n\n Explanation:\n The text states that \"", " MOST_VISITED_WEBSITE_OF.", " MOST_VISITED_WEBSITE_OF.", " NUMBER_ONE_OF\n\n Explanation:\n The text states", " MOST_VISITED_WEBSITE", " MOST_VISITED_WEBSITE_OF.", " MOST_VISITED_WEBSITE_IN_THE_WORLD", " MOST_VISITED_WEBSITE", " MOST_VISITED_WEBSITE_BY_VISITORS_EVERY", " MOST_VISITED_WEBSITE_BY_VISITORS_COUNT", " MOST_VISITED_WEBSITE", " MOST_VISITED_WEBSITE", " MOST_VISITED_WEBSITE", " MOST_VISITED_BY", " MOST_VISITED_BY\n\n Explanation:\n In the", " MOST_VISITED_WEBSITE_OF_ALEXA_IS_", " FOUNDING_DATE", " IP_OFFERING", " FUNDING", " VALUE_OF", " MOST_VISITED_WEBSITE", " MOST_VISITED_WEBSITE", " MOST_VISITED_WEBSITE_BY_ALEXA_RANK", " MOST_VISITED_WEBSITE_BY_ALEXA_RANK", " MOST_VISITED_WEBSITE", " MOST_VISITED_WEBSITE_IN_THE_WORLD", " SAME_ORG", " VISITED_BY", " VISITED_BY\n Or, if you prefer:\n The relation is", " SAME_ORG", " SAME_ORG", " SAME_ORG", " FOUNDED_BY", " FOUNDER", " FOUNDED_AT", " FOUNDATION\n\n Entities: \n [{'head': ['62", " IPO_DATE", " FUNDING", " VALUE_OF", " SAME_ORG", " SAME_ORG", " MOST_VISITED_WEBSITE_OF\n\n Explanation:", " Google is the Number One. (Google is the head entity and Number One is the tail entity", " MOST_VISITED_WEBSITE", " MOST_VISITED_WEBSITE_IN_THE_WORLD", " MOST_VISITED_LOCATION_OF", " VISITED_FREQUENCY", " VISITED_BY\n Or\n HAS_VISITED\n\n", " MOST_VISITED_LOCATION_OF", " MOST_VISITED_LOCATION_OF", " MOST_VISITED_LOCATION_OF\n\n Explanation:\n", " FOUNDED_BY", " FOUNDED_BY", " FOUNDED_AT\n\n Explanation:\n The text states that \"", " FOUNDATION\n\n Entities: \n [{'head': ['62", " IPO_DATE", " FINANCED_BY", " VALUE_OF", " MOST_VISITED_LOCATION_OF\n\n Explanation:\n", " MOST_VISITED_LOCATION_OF\n\n Explanation:\n", " NUMBER_ONE_BEST_PLACE_TO_WORK", " MOST_VISITED_WEBSITE_IN_THE_WORLD", " MOST_VISITED_WEBSITE", " MOST_VISITED_WEBSITE_IN_THE_WORLD" ]
[ [ "0", "1", "ORG", "Google" ], [ "14", "16", "DATE", "Every day" ], [ "17", "18", "CARDINAL", "5,000,000,000" ], [ "20", "21", "ORG", "Google" ], [ "34", "35", "ORG", "Google" ], [ "37", "38", "ORG", "Google" ], [ "41", "43", "PERSON", "Larry Page" ], [ "44", "46", "PERSON", "Sergey Brin" ], [ "49", "51", "ORG", "Stanford University" ], [ "62", "66", "DATE", "September 4, 1998" ], [ "73", "77", "DATE", "August 19, 2004" ], [ "80", "83", "MONEY", "$1.67 billion" ], [ "89", "92", "MONEY", "$23 billion" ], [ "93", "94", "ORG", "Google" ], [ "134", "135", "ORG", "Google" ], [ "139", "142", "ORG", "Fortune Magazine’s" ], [ "142", "144", "CARDINAL", "Number One" ], [ "158", "159", "ORG", "Alexa" ], [ "163", "164", "ORG", "Google" ], [ "171", "172", "LOC", "World" ] ]
678
680
[ "by Erika Fatland\nAn unforgettable journey through Central Asia, one of the most mysterious and history-laden regions of the world.\nTurkmenistan, Kazakhstan, Tajikistan, Kyrgyzstan, and Uzbekistan became free of the Soviet Union in 1991. But though they are new to modern statehood, this is a region rich in ancient history, culture, and landscapes unlike anywhere else in the world.\nTraveling alone, Erika Fatland is a true adventurer in every sense. In Sovietistan, she takes the reader on a compassionate and insightful journey to explore how their Soviet heritage has influenced these countries, with governments experimenting with both democracy and dictatorships." ]
[ [ "by", "Erika", "Fatland", "\n", "An", "unforgettable", "journey", "through", "Central", "Asia", ",", "one", "of", "the", "most", "mysterious", "and", "history", "-", "laden", "regions", "of", "the", "world", ".", "\n", "Turkmenistan", ",", "Kazakhstan", ",", "Tajikistan", ",", "Kyrgyzstan", ",", "and", "Uzbekistan", "became", "free", "of", "the", "Soviet", "Union", "in", "1991", ".", "But", "though", "they", "are", "new", "to", "modern", "statehood", ",", "this", "is", "a", "region", "rich", "in", "ancient", "history", ",", "culture", ",", "and", "landscapes", "unlike", "anywhere", "else", "in", "the", "world", ".", "\n", "Traveling", "alone", ",", "Erika", "Fatland", "is", "a", "true", "adventurer", "in", "every", "sense", ".", "In", "Sovietistan", ",", "she", "takes", "the", "reader", "on", "a", "compassionate", "and", "insightful", "journey", "to", "explore", "how", "their", "Soviet", "heritage", "has", "influenced", "these", "countries", ",", "with", "governments", "experimenting", "with", "both", "democracy", "and", "dictatorships", "." ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['by Erika Fatland\nAn unforgettable journey through Central Asia, one of the most mysterious and history-laden regions of the world.\nTurkmenistan, Kazakhstan, Tajikistan, Kyrgyzstan, and Uzbekistan became free of the Soviet Union in 1991. But though they are new to modern statehood, this is a region rich in ancient history, culture, and landscapes unlike anywhere else in the world.\nTraveling alone, Erika Fatland is a true adventurer in every sense. In Sovietistan, she takes the reader on a compassionate and insightful journey to explore how their Soviet heritage has influenced these countries, with governments experimenting with both democracy and dictatorships.'] Entities: [{'head': ['1', '3', 'PERSON', 'Erika Fatland'], 'tail': ['8', '10', 'LOC', 'Central Asia']}] Relation:
[ [ { "head": [ "1", "3", "PERSON", "Erika Fatland" ], "tail": [ "8", "10", "LOC", "Central Asia" ] } ], [ { "head": [ "1", "3", "PERSON", "Erika Fatland" ], "tail": [ "26", "27", "GPE", "Turkmenistan" ] } ], [ { "head": [ "1", "3", "PERSON", "Erika Fatland" ], "tail": [ "28", "29", "GPE", "Kazakhstan" ] } ], [ { "head": [ "1", "3", "PERSON", "Erika Fatland" ], "tail": [ "30", "31", "GPE", "Tajikistan" ] } ], [ { "head": [ "1", "3", "PERSON", "Erika Fatland" ], "tail": [ "32", "33", "GPE", "Kyrgyzstan" ] } ], [ { "head": [ "1", "3", "PERSON", "Erika Fatland" ], "tail": [ "35", "36", "GPE", "Uzbekistan" ] } ], [ { "head": [ "1", "3", "PERSON", "Erika Fatland" ], "tail": [ "39", "42", "GPE", "the Soviet Union" ] } ], [ { "head": [ "1", "3", "PERSON", "Erika Fatland" ], "tail": [ "43", "44", "DATE", "1991" ] } ], [ { "head": [ "1", "3", "PERSON", "Erika Fatland" ], "tail": [ "78", "80", "PERSON", "Erika Fatland" ] } ], [ { "head": [ "1", "3", "PERSON", "Erika Fatland" ], "tail": [ "89", "90", "GPE", "Sovietistan" ] } ], [ { "head": [ "1", "3", "PERSON", "Erika Fatland" ], "tail": [ "105", "106", "NORP", "Soviet" ] } ], [ { "head": [ "8", "10", "LOC", "Central Asia" ], "tail": [ "1", "3", "PERSON", "Erika Fatland" ] } ], [ { "head": [ "8", "10", "LOC", "Central Asia" ], "tail": [ "26", "27", "GPE", "Turkmenistan" ] } ], [ { "head": [ "8", "10", "LOC", "Central Asia" ], "tail": [ "28", "29", "GPE", "Kazakhstan" ] } ], [ { "head": [ "8", "10", "LOC", "Central Asia" ], "tail": [ "30", "31", "GPE", "Tajikistan" ] } ], [ { "head": [ "8", "10", "LOC", "Central Asia" ], "tail": [ "32", "33", "GPE", "Kyrgyzstan" ] } ], [ { "head": [ "8", "10", "LOC", "Central Asia" ], "tail": [ "35", "36", "GPE", "Uzbekistan" ] } ], [ { "head": [ "8", "10", "LOC", "Central Asia" ], "tail": [ "39", "42", "GPE", "the Soviet Union" ] } ], [ { "head": [ "8", "10", "LOC", "Central Asia" ], "tail": [ "43", "44", "DATE", "1991" ] } ], [ { "head": [ "8", "10", "LOC", "Central Asia" ], "tail": [ "78", "80", "PERSON", "Erika Fatland" ] } ], [ { "head": [ "8", "10", "LOC", "Central Asia" ], "tail": [ "89", "90", "GPE", "Sovietistan" ] } ], [ { "head": [ "8", "10", "LOC", "Central Asia" ], "tail": [ "105", "106", "NORP", "Soviet" ] } ], [ { "head": [ "26", "27", "GPE", "Turkmenistan" ], "tail": [ "1", "3", "PERSON", "Erika Fatland" ] } ], [ { "head": [ "26", "27", "GPE", "Turkmenistan" ], "tail": [ "8", "10", "LOC", "Central Asia" ] } ], [ { "head": [ "26", "27", "GPE", "Turkmenistan" ], "tail": [ "28", "29", "GPE", "Kazakhstan" ] } ], [ { "head": [ "26", "27", "GPE", "Turkmenistan" ], "tail": [ "30", "31", "GPE", "Tajikistan" ] } ], [ { "head": [ "26", "27", "GPE", "Turkmenistan" ], "tail": [ "32", "33", "GPE", "Kyrgyzstan" ] } ], [ { "head": [ "26", "27", "GPE", "Turkmenistan" ], "tail": [ "35", "36", "GPE", "Uzbekistan" ] } ], [ { "head": [ "26", "27", "GPE", "Turkmenistan" ], "tail": [ "39", "42", "GPE", "the Soviet Union" ] } ], [ { "head": [ "26", "27", "GPE", "Turkmenistan" ], "tail": [ "43", "44", "DATE", "1991" ] } ], [ { "head": [ "26", "27", "GPE", "Turkmenistan" ], "tail": [ "78", "80", "PERSON", "Erika Fatland" ] } ], [ { "head": [ "26", "27", "GPE", "Turkmenistan" ], "tail": [ "89", "90", "GPE", "Sovietistan" ] } ], [ { "head": [ "26", "27", "GPE", "Turkmenistan" ], "tail": [ "105", "106", "NORP", "Soviet" ] } ], [ { "head": [ "28", "29", "GPE", "Kazakhstan" ], "tail": [ "1", "3", "PERSON", "Erika Fatland" ] } ], [ { "head": [ "28", "29", "GPE", "Kazakhstan" ], "tail": [ "8", "10", "LOC", "Central Asia" ] } ], [ { "head": [ "28", "29", "GPE", "Kazakhstan" ], "tail": [ "26", "27", "GPE", "Turkmenistan" ] } ], [ { "head": [ "28", "29", "GPE", "Kazakhstan" ], "tail": [ "30", "31", "GPE", "Tajikistan" ] } ], [ { "head": [ "28", "29", "GPE", "Kazakhstan" ], "tail": [ "32", "33", "GPE", "Kyrgyzstan" ] } ], [ { "head": [ "28", "29", "GPE", "Kazakhstan" ], "tail": [ "35", "36", "GPE", "Uzbekistan" ] } ], [ { "head": [ "28", "29", "GPE", "Kazakhstan" ], "tail": [ "39", "42", "GPE", "the Soviet Union" ] } ], [ { "head": [ "28", "29", "GPE", "Kazakhstan" ], "tail": [ "43", "44", "DATE", "1991" ] } ], [ { "head": [ "28", "29", "GPE", "Kazakhstan" ], "tail": [ "78", "80", "PERSON", "Erika Fatland" ] } ], [ { "head": [ "28", "29", "GPE", "Kazakhstan" ], "tail": [ "89", "90", "GPE", "Sovietistan" ] } ], [ { "head": [ "28", "29", "GPE", "Kazakhstan" ], "tail": [ "105", "106", "NORP", "Soviet" ] } ], [ { "head": [ "30", "31", "GPE", "Tajikistan" ], "tail": [ "1", "3", "PERSON", "Erika Fatland" ] } ], [ { "head": [ "30", "31", "GPE", "Tajikistan" ], "tail": [ "8", "10", "LOC", "Central Asia" ] } ], [ { "head": [ "30", "31", "GPE", "Tajikistan" ], "tail": [ "26", "27", "GPE", "Turkmenistan" ] } ], [ { "head": [ "30", "31", "GPE", "Tajikistan" ], "tail": [ "28", "29", "GPE", "Kazakhstan" ] } ], [ { "head": [ "30", "31", "GPE", "Tajikistan" ], "tail": [ "32", "33", "GPE", "Kyrgyzstan" ] } ], [ { "head": [ "30", "31", "GPE", "Tajikistan" ], "tail": [ "35", "36", "GPE", "Uzbekistan" ] } ], [ { "head": [ "30", "31", "GPE", "Tajikistan" ], "tail": [ "39", "42", "GPE", "the Soviet Union" ] } ], [ { "head": [ "30", "31", "GPE", "Tajikistan" ], "tail": [ "43", "44", "DATE", "1991" ] } ], [ { "head": [ "30", "31", "GPE", "Tajikistan" ], "tail": [ "78", "80", "PERSON", "Erika Fatland" ] } ], [ { "head": [ "30", "31", "GPE", "Tajikistan" ], "tail": [ "89", "90", "GPE", "Sovietistan" ] } ], [ { "head": [ "30", "31", "GPE", "Tajikistan" ], "tail": [ "105", "106", "NORP", "Soviet" ] } ], [ { "head": [ "32", "33", "GPE", "Kyrgyzstan" ], "tail": [ "1", "3", "PERSON", "Erika Fatland" ] } ], [ { "head": [ "32", "33", "GPE", "Kyrgyzstan" ], "tail": [ "8", "10", "LOC", "Central Asia" ] } ], [ { "head": [ "32", "33", "GPE", "Kyrgyzstan" ], "tail": [ "26", "27", "GPE", "Turkmenistan" ] } ], [ { "head": [ "32", "33", "GPE", "Kyrgyzstan" ], "tail": [ "28", "29", "GPE", "Kazakhstan" ] } ], [ { "head": [ "32", "33", "GPE", "Kyrgyzstan" ], 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"tail": [ "28", "29", "GPE", "Kazakhstan" ] } ], [ { "head": [ "35", "36", "GPE", "Uzbekistan" ], "tail": [ "30", "31", "GPE", "Tajikistan" ] } ], [ { "head": [ "35", "36", "GPE", "Uzbekistan" ], "tail": [ "32", "33", "GPE", "Kyrgyzstan" ] } ], [ { "head": [ "35", "36", "GPE", "Uzbekistan" ], "tail": [ "39", "42", "GPE", "the Soviet Union" ] } ], [ { "head": [ "35", "36", "GPE", "Uzbekistan" ], "tail": [ "43", "44", "DATE", "1991" ] } ], [ { "head": [ "35", "36", "GPE", "Uzbekistan" ], "tail": [ "78", "80", "PERSON", "Erika Fatland" ] } ], [ { "head": [ "35", "36", "GPE", "Uzbekistan" ], "tail": [ "89", "90", "GPE", "Sovietistan" ] } ], [ { "head": [ "35", "36", "GPE", "Uzbekistan" ], "tail": [ "105", "106", "NORP", "Soviet" ] } ], [ { "head": [ "39", "42", "GPE", "the Soviet Union" ], "tail": [ "1", "3", "PERSON", "Erika Fatland" ] } ], [ { "head": [ "39", "42", "GPE", "the Soviet Union" ], "tail": [ "8", "10", "LOC", "Central Asia" ] } ], [ { "head": [ "39", "42", "GPE", "the Soviet 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[ { "head": [ "89", "90", "GPE", "Sovietistan" ], "tail": [ "1", "3", "PERSON", "Erika Fatland" ] } ], [ { "head": [ "89", "90", "GPE", "Sovietistan" ], "tail": [ "8", "10", "LOC", "Central Asia" ] } ], [ { "head": [ "89", "90", "GPE", "Sovietistan" ], "tail": [ "26", "27", "GPE", "Turkmenistan" ] } ], [ { "head": [ "89", "90", "GPE", "Sovietistan" ], "tail": [ "28", "29", "GPE", "Kazakhstan" ] } ], [ { "head": [ "89", "90", "GPE", "Sovietistan" ], "tail": [ "30", "31", "GPE", "Tajikistan" ] } ], [ { "head": [ "89", "90", "GPE", "Sovietistan" ], "tail": [ "32", "33", "GPE", "Kyrgyzstan" ] } ], [ { "head": [ "89", "90", "GPE", "Sovietistan" ], "tail": [ "35", "36", "GPE", "Uzbekistan" ] } ], [ { "head": [ "89", "90", "GPE", "Sovietistan" ], "tail": [ "39", "42", "GPE", "the Soviet Union" ] } ], [ { "head": [ "89", "90", "GPE", "Sovietistan" ], "tail": [ "43", "44", "DATE", "1991" ] } ], [ { "head": [ "89", "90", "GPE", "Sovietistan" ], "tail": [ "78", "80", "PERSON", "Erika Fatland" ] } ], [ { "head": [ "89", "90", "GPE", "Sovietistan" ], "tail": [ "105", "106", "NORP", "Soviet" ] } ], [ { "head": [ "105", "106", "NORP", "Soviet" ], "tail": [ "1", "3", "PERSON", "Erika Fatland" ] } ], [ { "head": [ "105", "106", "NORP", "Soviet" ], "tail": [ "8", "10", "LOC", "Central Asia" ] } ], [ { "head": [ "105", "106", "NORP", "Soviet" ], "tail": [ "26", "27", "GPE", "Turkmenistan" ] } ], [ { "head": [ "105", "106", "NORP", "Soviet" ], "tail": [ "28", "29", "GPE", "Kazakhstan" ] } ], [ { "head": [ "105", "106", "NORP", "Soviet" ], "tail": [ "30", "31", "GPE", "Tajikistan" ] } ], [ { "head": [ "105", "106", "NORP", "Soviet" ], "tail": [ "32", "33", "GPE", "Kyrgyzstan" ] } ], [ { "head": [ "105", "106", "NORP", "Soviet" ], "tail": [ "35", "36", "GPE", "Uzbekistan" ] } ], [ { "head": [ "105", "106", "NORP", "Soviet" ], "tail": [ "39", "42", "GPE", "the Soviet Union" ] } ], [ { "head": [ "105", "106", "NORP", "Soviet" ], "tail": [ "78", "80", "PERSON", "Erika Fatland" ] } ], [ { "head": [ "105", "106", "NORP", "Soviet" ], "tail": [ "89", "90", "GPE", "Sovietistan" ] } ] ]
[ " EXPLORER_OF", " TRAVELS_TO", " TRAVELLED_TO", " TRAVELLED_TO", " TRAVELLED_TO", " TRAVELS_TO", " EXPLORER_OF\n or\n WROTE_ABOUT\n ", " BECAME_FREE_FROM", " SELF_REFERENCE", " WRITES_ABOUT", " TRAVELED_IN\n\n Explanation:\n Erika Fatland", " JOURNEYS_THROUGH", " LOCATION_IN.", " PART_OF", " PART_OF", " PART_OF", " PART_OF", " HAS_REGION\n\n Explanation:\n The text describes Central Asia as", " BECAME_FREE_FROM", " JOURNEYS_THROUGH", " LOCATION_IN. 'Central Asia' is located_in 'Soviet", " HAS_REGION\n\n Explanation:\n The text describes Central Asia as", " TRAVELS_IN.", " PART_OF", " NORTH\n\n Explanation:\n The text mentions that Turkmen", " NORTH_WEST_OF", " NORTH\n\n Explanation:\n The text mentions that Turkmen", " NEIGHBOR.", " 'was_part_of'", " BECAME_FREE_FROM", " TRAVELLED_BY", " SOVIET_HERITAGE_OF", " HAS_HERITAGE_FROM", " TRAVELLED_BY", " PART_OF", " NORTH_OF", " NORTH_OF", " NORTH_OF", " NEIGHBOR.", " PART_OF", " BECAME_FREE_FROM", " SUBJECT_OF.\n This text describes Kazakhstan as the subject of Erika", " LOCATION_OF\n or\n HAS_HISTORY_IN\n", " HAS_HERITAGE_FROM", " EXPLORER_OF", " PART_OF", " NORTH\n\n Explanation:\n The text mentions that Taj", " NORTH_OF", " NORTH\n\n Explanation:\n The text mentions that Taj", " NORTH\n\n Explanation:\n The text mentions that Taj", " PART_OF", " BECAME_FREE_FROM", " SUBJECT_OF.\n This text describes Erika Fatland traveling to Tajik", " HAS_REGION\n\n Explanation:\n The text mentions that the", " HAS_HERITAGE_FROM", " SUBJECT_OF. The head is the subject of the sentence, and the tail is the", " PART_OF", " NORTH\n\n Explanation:\n The text mentions that Kyr", " NORTH\n\n Explanation:\n The text mentions that Kyr", " NORTH\n\n Explanation:\n The text mentions that Kyr", " NORTH\n\n Explanation:\n The text mentions that Kyr", " 'was_part_of'", " BECAME_FREE_FROM", " SUBJECT_OF.\n This indicates that Erika Fatland is the subject of the", " LOCATION_OF\n or\n HAS_HISTORY_IN\n", " HAS_HERITAGE_FROM", " SUBJECT_OF.\n This indicates that Erika Fatland is the subject of the", " PART_OF", " NORTH\n\n Explanation:\n The text mentions that Uzb", " NEIGHBOR.", " NORTH\n\n Explanation:\n The text mentions that Uzb", " NORTH\n\n Explanation:\n The text mentions that Uzb", " 'was_part_of'", " BECAME_FREE_FROM", " SUBJECT_OF.\n This indicates that Erika Fatland is the subject of the", " HAS_PREDECESSOR", " HAS_HERITAGE_FROM", " ancestor_of\n\n Explanation:\n The text mentions that E", " INFLUENCED_BY", " 'ancestor_of' or 'predecessor_of' or 'former_", " 'ancestor_of' or 'predecessor_of' or 'capital", " INFLUENCED_BY", " 'ancestor_of' or 'predecessor_of' or 'former_", " 'ancestor_of' or 'preceded_by' or 'rul", " DISSOLVED_BY", " ancestor_of\n\n Explanation:\n The text describes Erika Fat", " heritage_of", " HAS_PREDECESSOR", " EXPERIENCED_IN\n or\n WAS_ACTIVE_IN\n", " BECAME_FREE_FROM", " BECAME_FREE_FROM", " BECAME_FREE_FROM", " 'became_free_from'", " BECAME_FREE_FROM", " BECAME_FREE_FROM", " FREED_FROM", " EXPERIENCED_IN\n or\n WROTE_ABOUT\n", " BECAME_FREE_FROM", " SELF_REFERENCE", " EXPLORER_OF", " TRAVELLED_TO", " TRAVELLED_TO", " EXPLORED_IN", " TRAVELLED_TO", " TRAVELLED_TO", " EXPLORER_OF\n or\n WROTE_ABOUT\n ", " BECAME_FREE_FROM", " AUTHOR_OF\n Or\n WRITES_ABOUT", " AUTHOR_OF\n ORIGINATED_FROM\n OR: NO_REL", " TRAVELS_THROUGH", " LOCATION_OF\n or\n PART_OF\n or\n SUB", " LOCATION_OF\n or\n PART_OF\n or\n SUB", " LOCATION_OF\n or\n PART_OF\n or\n IN", " EXPLORATION_OF\n or\n LOCATED_IN\n or", " NEAR_IN_TIME", " IN_REGION", " HAS_HERITAGE_FROM", " BECAME_YEAR.", " TRAVELS_THROUGH", " HAS_REGION\n\n Explanation:\n The text describes Erika Fat", " WRITER_OF\n\n Explanation:\n The text states that Erika", " HAS_REGION\n\n Explanation:\n The text describes how the countries", " SOVIET_OF\n\n Explanation:\n The text mentions that", " INFLUENCED_BY", " INFLUENCED_BY", " INFLUENCED_BY", " INFLUENCED_BY", " HAS_HERITAGE_FROM", " EXPLORER_OF\n\n # Explanation:\n # The text", " SOVIET_OF_Sovietistan" ]
[ [ "1", "3", "PERSON", "Erika Fatland" ], [ "8", "10", "LOC", "Central Asia" ], [ "26", "27", "GPE", "Turkmenistan" ], [ "28", "29", "GPE", "Kazakhstan" ], [ "30", "31", "GPE", "Tajikistan" ], [ "32", "33", "GPE", "Kyrgyzstan" ], [ "35", "36", "GPE", "Uzbekistan" ], [ "39", "42", "GPE", "the Soviet Union" ], [ "43", "44", "DATE", "1991" ], [ "78", "80", "PERSON", "Erika Fatland" ], [ "89", "90", "GPE", "Sovietistan" ], [ "105", "106", "NORP", "Soviet" ] ]
679
681
[ "Cute Little Lenormand Fortune Telling Deck & Book - Signed!\nCute Little Lenormand is a modern take on a traditional divination method - and it's signed by the author and illustrator Sara M. Lyons!\nCute Little Lenormand includes a comprehensive guidebook along with a complete 36 card Lenormand deck, so you can start working with the cards right away.\nIt's written with the newbie in mind, so you’ll be interpreting with ease.\nThe book includes explanations for each of the cards and walks you through how to read them, from your first three-card vignette all the way up to a 36-card grand tableau." ]
[ [ "Cute", "Little", "Lenormand", "Fortune", "Telling", "Deck", "&", "Book", "-", "Signed", "!", "\n", "Cute", "Little", "Lenormand", "is", "a", "modern", "take", "on", "a", "traditional", "divination", "method", "-", "and", "it", "'s", "signed", "by", "the", "author", "and", "illustrator", "Sara", "M.", "Lyons", "!", "\n", "Cute", "Little", "Lenormand", "includes", "a", "comprehensive", "guidebook", "along", "with", "a", "complete", "36", "card", "Lenormand", "deck", ",", "so", "you", "can", "start", "working", "with", "the", "cards", "right", "away", ".", "\n", "It", "'s", "written", "with", "the", "newbie", "in", "mind", ",", "so", "you", "’ll", "be", "interpreting", "with", "ease", ".", "\n", "The", "book", "includes", "explanations", "for", "each", "of", "the", "cards", "and", "walks", "you", "through", "how", "to", "read", "them", ",", "from", "your", "first", "three", "-", "card", "vignette", "all", "the", "way", "up", "to", "a", "36", "-", "card", "grand", "tableau", "." ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ["Cute Little Lenormand Fortune Telling Deck & Book - Signed!\nCute Little Lenormand is a modern take on a traditional divination method - and it's signed by the author and illustrator Sara M. Lyons!\nCute Little Lenormand includes a comprehensive guidebook along with a complete 36 card Lenormand deck, so you can start working with the cards right away.\nIt's written with the newbie in mind, so you’ll be interpreting with ease.\nThe book includes explanations for each of the cards and walks you through how to read them, from your first three-card vignette all the way up to a 36-card grand tableau."] Entities: [{'head': ['34', '37', 'PERSON', 'Sara M. Lyons'], 'tail': ['39', '42', 'ORG', 'Cute Little Lenormand']}] Relation:
[ [ { "head": [ "34", "37", "PERSON", "Sara M. Lyons" ], "tail": [ "39", "42", "ORG", "Cute Little Lenormand" ] } ], [ { "head": [ "34", "37", "PERSON", "Sara M. Lyons" ], "tail": [ "50", "51", "CARDINAL", "36" ] } ], [ { "head": [ "34", "37", "PERSON", "Sara M. Lyons" ], "tail": [ "52", "53", "PRODUCT", "Lenormand" ] } ], [ { "head": [ "34", "37", "PERSON", "Sara M. Lyons" ], "tail": [ "105", "106", "ORDINAL", "first" ] } ], [ { "head": [ "34", "37", "PERSON", "Sara M. Lyons" ], "tail": [ "106", "107", "CARDINAL", "three" ] } ], [ { "head": [ "34", "37", "PERSON", "Sara M. Lyons" ], "tail": [ "116", "117", "CARDINAL", "36" ] } ], [ { "head": [ "39", "42", "ORG", "Cute Little Lenormand" ], "tail": [ "34", "37", "PERSON", "Sara M. Lyons" ] } ], [ { "head": [ "39", "42", "ORG", "Cute Little Lenormand" ], "tail": [ "50", "51", "CARDINAL", "36" ] } ], [ { "head": [ "39", "42", "ORG", "Cute Little Lenormand" ], "tail": [ "52", "53", "PRODUCT", "Lenormand" ] } ], [ { "head": [ "39", "42", "ORG", "Cute Little Lenormand" ], "tail": [ "105", "106", "ORDINAL", "first" ] } ], [ { "head": [ "39", "42", "ORG", "Cute Little Lenormand" ], "tail": [ "106", "107", "CARDINAL", "three" ] } ], [ { "head": [ "39", "42", "ORG", "Cute Little Lenormand" ], "tail": [ "116", "117", "CARDINAL", "36" ] } ], [ { "head": [ "50", "51", "CARDINAL", "36" ], "tail": [ "34", "37", "PERSON", "Sara M. Lyons" ] } ], [ { "head": [ "50", "51", "CARDINAL", "36" ], "tail": [ "39", "42", "ORG", "Cute Little Lenormand" ] } ], [ { "head": [ "52", "53", "PRODUCT", "Lenormand" ], "tail": [ "34", "37", "PERSON", "Sara M. Lyons" ] } ], [ { "head": [ "52", "53", "PRODUCT", "Lenormand" ], "tail": [ "39", "42", "ORG", "Cute Little Lenormand" ] } ], [ { "head": [ "105", "106", "ORDINAL", "first" ], "tail": [ "34", "37", "PERSON", "Sara M. Lyons" ] } ], [ { "head": [ "105", "106", "ORDINAL", "first" ], "tail": [ "39", "42", "ORG", "Cute Little Lenormand" ] } ], [ { "head": [ "106", "107", "CARDINAL", "three" ], "tail": [ "34", "37", "PERSON", "Sara M. Lyons" ] } ], [ { "head": [ "106", "107", "CARDINAL", "three" ], "tail": [ "39", "42", "ORG", "Cute Little Lenormand" ] } ], [ { "head": [ "116", "117", "CARDINAL", "36" ], "tail": [ "34", "37", "PERSON", "Sara M. Lyons" ] } ], [ { "head": [ "116", "117", "CARDINAL", "36" ], "tail": [ "39", "42", "ORG", "Cute Little Lenormand" ] } ] ]
[ " AUTHOR_OF", " SIGNED_BY", " AUTHOR_OF", " SIGNED_BY", " SIGNED_BY", " WRITTEN_BY", " AUTHOR_OF", " INCLUDES", " IS_PRODUCED_BY", " INCLUDES_PAGE", " INCLUDES_PART \n\n Explanation:\n The text states", " INCLUDES", " SIGNED_BY", " INCLUDES", " SIGNED_BY", " PRODUCER_OF", " SIGNED_BY", " INCLUDES", " SIGNED_BY", " INCLUDES", " SIGNED_BY", " PUBLISHER_OF" ]
[ [ "34", "37", "PERSON", "Sara M. Lyons" ], [ "39", "42", "ORG", "Cute Little Lenormand" ], [ "50", "51", "CARDINAL", "36" ], [ "52", "53", "PRODUCT", "Lenormand" ], [ "105", "106", "ORDINAL", "first" ], [ "106", "107", "CARDINAL", "three" ], [ "116", "117", "CARDINAL", "36" ] ]
680
682
[ "NEW DESIGN! “Swish Fish.” Artist. Kimberly Sumerel.\nYou don’t have to live in Florida to enjoy the color and beauty of ocean life! Take this fun fashion zippered clutch wherever you go! It comes in 3 different sizes. You can tuck the smaller bag in a purse or tote or carry it alone as a handbag. You will be amazed at the compliments you will get when you show off your NEW fashion clutch bag!\nAvailable as an 8 x 10 print and greeting card." ]
[ [ "NEW", "DESIGN", "!", "“", "Swish", "Fish", ".", "”", "Artist", ".", "Kimberly", "Sumerel", ".", "\n", "You", "do", "n’t", "have", "to", "live", "in", "Florida", "to", "enjoy", "the", "color", "and", "beauty", "of", "ocean", "life", "!", "Take", "this", "fun", "fashion", "zippered", "clutch", "wherever", "you", "go", "!", "It", "comes", "in", "3", "different", "sizes", ".", "You", "can", "tuck", "the", "smaller", "bag", "in", "a", "purse", "or", "tote", "or", "carry", "it", "alone", "as", "a", "handbag", ".", "You", "will", "be", "amazed", "at", "the", "compliments", "you", "will", "get", "when", "you", "show", "off", "your", "NEW", "fashion", "clutch", "bag", "!", "\n", "Available", "as", "an", "8", "x", "10", "print", "and", "greeting", "card", "." ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['NEW DESIGN! “Swish Fish.” Artist. Kimberly Sumerel.\nYou don’t have to live in Florida to enjoy the color and beauty of ocean life! Take this fun fashion zippered clutch wherever you go! It comes in 3 different sizes. You can tuck the smaller bag in a purse or tote or carry it alone as a handbag. You will be amazed at the compliments you will get when you show off your NEW fashion clutch bag!\nAvailable as an 8 x 10 print and greeting card.'] Entities: [{'head': ['10', '12', 'PERSON', 'Kimberly Sumerel'], 'tail': ['21', '22', 'GPE', 'Florida']}] Relation:
[ [ { "head": [ "10", "12", "PERSON", "Kimberly Sumerel" ], "tail": [ "21", "22", "GPE", "Florida" ] } ], [ { "head": [ "10", "12", "PERSON", "Kimberly Sumerel" ], "tail": [ "45", "46", "CARDINAL", "3" ] } ], [ { "head": [ "10", "12", "PERSON", "Kimberly Sumerel" ], "tail": [ "92", "93", "CARDINAL", "8" ] } ], [ { "head": [ "10", "12", "PERSON", "Kimberly Sumerel" ], "tail": [ "94", "95", "CARDINAL", "10" ] } ], [ { "head": [ "21", "22", "GPE", "Florida" ], "tail": [ "10", "12", "PERSON", "Kimberly Sumerel" ] } ], [ { "head": [ "21", "22", "GPE", "Florida" ], "tail": [ "45", "46", "CARDINAL", "3" ] } ], [ { "head": [ "21", "22", "GPE", "Florida" ], "tail": [ "92", "93", "CARDINAL", "8" ] } ], [ { "head": [ "21", "22", "GPE", "Florida" ], "tail": [ "94", "95", "CARDINAL", "10" ] } ], [ { "head": [ "45", "46", "CARDINAL", "3" ], "tail": [ "10", "12", "PERSON", "Kimberly Sumerel" ] } ], [ { "head": [ "45", "46", "CARDINAL", "3" ], "tail": [ "21", "22", "GPE", "Florida" ] } ], [ { "head": [ "92", "93", "CARDINAL", "8" ], "tail": [ "10", "12", "PERSON", "Kimberly Sumerel" ] } ], [ { "head": [ "92", "93", "CARDINAL", "8" ], "tail": [ "21", "22", "GPE", "Florida" ] } ], [ { "head": [ "94", "95", "CARDINAL", "10" ], "tail": [ "10", "12", "PERSON", "Kimberly Sumerel" ] } ], [ { "head": [ "94", "95", "CARDINAL", "10" ], "tail": [ "21", "22", "GPE", "Florida" ] } ] ]
[ " INSPIRED_BY", " CREATES\n\n Explanation:\n The text mentions that Kim", " SIZE_OF\n\n Explanation:\n The text mentions that the", " SIZE_OF\n\n Explanation:\n The text mentions that the", " ARTIST_OF\n OR\n CREATED_BY\n OR\n", " SIZE_OF\n\n Explanation:\n The text mentions that the", " AVAILABLE_SIZE", " AVAILABLE_SIZE", " CREATES \n\n Explanation:\n The text mentions that", " IN_LOCATION", " CREATES\n\n Explanation:\n The text mentions that Kim", " ASSOC_WITH", " ARTIST_OF\n OR\n CREATOR_OF\n OR\n", " ASSOC_WITH" ]
[ [ "10", "12", "PERSON", "Kimberly Sumerel" ], [ "21", "22", "GPE", "Florida" ], [ "45", "46", "CARDINAL", "3" ], [ "92", "93", "CARDINAL", "8" ], [ "94", "95", "CARDINAL", "10" ] ]
681
683
[ "NEW HAVEN, Conn. (WTNH) – The New Haven Chalk Art Festival is kicking off at CT Style. Artist Michael Micinilio demonstrates fun chalk art you can expect to see at the free event happening on Sunday from 10am-6pm at the Shops at Yale in New Haven.\nThe event is open to all age groups. Each participant will be given a 3′ x 3′ square space for their artwork. The surface is asphalt. Knee pads and/or towels are recommended." ]
[ [ "NEW", "HAVEN", ",", "Conn.", "(", "WTNH", ")", "–", "The", "New", "Haven", "Chalk", "Art", "Festival", "is", "kicking", "off", "at", "CT", "Style", ".", "Artist", "Michael", "Micinilio", "demonstrates", "fun", "chalk", "art", "you", "can", "expect", "to", "see", "at", "the", "free", "event", "happening", "on", "Sunday", "from", "10am-6pm", "at", "the", "Shops", "at", "Yale", "in", "New", "Haven", ".", "\n", "The", "event", "is", "open", "to", "all", "age", "groups", ".", "Each", "participant", "will", "be", "given", "a", "3′", "x", "3′", "square", "space", "for", "their", "artwork", ".", "The", "surface", "is", "asphalt", ".", "Knee", "pads", "and/or", "towels", "are", "recommended", "." ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['NEW HAVEN, Conn. (WTNH) – The New Haven Chalk Art Festival is kicking off at CT Style. Artist Michael Micinilio demonstrates fun chalk art you can expect to see at the free event happening on Sunday from 10am-6pm at the Shops at Yale in New Haven.\nThe event is open to all age groups. Each participant will be given a 3′ x 3′ square space for their artwork. The surface is asphalt. Knee pads and/or towels are recommended.'] Entities: [{'head': ['0', '2', 'GPE', 'NEW HAVEN'], 'tail': ['3', '4', 'GPE', 'Conn.']}] Relation:
[ [ { "head": [ "0", "2", "GPE", "NEW HAVEN" ], "tail": [ "3", "4", "GPE", "Conn." ] } ], [ { "head": [ "0", "2", "GPE", "NEW HAVEN" ], "tail": [ "5", "6", "ORG", "WTNH" ] } ], [ { "head": [ "0", "2", "GPE", "NEW HAVEN" ], "tail": [ "8", "14", "EVENT", "The New Haven Chalk Art Festival" ] } ], [ { "head": [ "0", "2", "GPE", "NEW HAVEN" ], "tail": [ "18", "20", "ORG", "CT Style" ] } ], [ { "head": [ "0", "2", "GPE", "NEW HAVEN" ], "tail": [ "22", "24", "PERSON", "Michael Micinilio" ] } ], [ { "head": [ "0", "2", "GPE", "NEW HAVEN" ], "tail": [ "39", "40", "DATE", "Sunday" ] } ], [ { "head": [ "0", "2", "GPE", "NEW HAVEN" ], "tail": [ "43", "47", "ORG", "the Shops at Yale" ] } ], [ { "head": [ "0", "2", "GPE", "NEW HAVEN" ], "tail": [ "48", "50", "GPE", "New Haven" ] } ], [ { "head": [ "3", "4", "GPE", "Conn." ], "tail": [ "0", "2", "GPE", "NEW HAVEN" ] } ], [ { "head": [ "3", "4", "GPE", "Conn." ], "tail": [ "5", "6", "ORG", "WTNH" ] } ], [ { "head": [ "3", "4", "GPE", "Conn." ], "tail": [ "8", "14", "EVENT", "The New Haven Chalk Art Festival" ] } ], [ { "head": [ "3", "4", "GPE", "Conn." ], "tail": [ "18", "20", "ORG", "CT Style" ] } ], [ { "head": [ "3", "4", "GPE", "Conn." ], "tail": [ "22", "24", "PERSON", "Michael Micinilio" ] } ], [ { "head": [ "3", "4", "GPE", "Conn." ], "tail": [ "39", "40", "DATE", "Sunday" ] } ], [ { "head": [ "3", "4", "GPE", "Conn." ], "tail": [ "43", "47", "ORG", "the Shops at Yale" ] } ], [ { "head": [ "3", "4", "GPE", "Conn." ], "tail": [ "48", "50", "GPE", "New Haven" ] } ], [ { "head": [ "5", "6", "ORG", "WTNH" ], "tail": [ "0", "2", "GPE", "NEW HAVEN" ] } ], [ { "head": [ "5", "6", "ORG", "WTNH" ], "tail": [ "3", "4", "GPE", "Conn." ] } ], [ { "head": [ "5", "6", "ORG", "WTNH" ], "tail": [ "8", "14", "EVENT", "The New Haven Chalk Art Festival" ] } ], [ { "head": [ "5", "6", "ORG", "WTNH" ], "tail": [ "18", "20", "ORG", "CT Style" ] } ], [ { "head": [ "5", "6", "ORG", "WTNH" ], "tail": [ "22", "24", "PERSON", "Michael Micinilio" ] } ], [ { "head": [ "5", "6", "ORG", "WTNH" ], "tail": [ "39", "40", "DATE", "Sunday" ] } ], [ { "head": [ "5", "6", "ORG", "WTNH" ], "tail": [ "43", "47", "ORG", "the Shops at Yale" ] } ], [ { "head": [ "5", "6", "ORG", "WTNH" ], "tail": [ "48", "50", "GPE", "New Haven" ] } ], [ { "head": [ "8", "14", "EVENT", "The New Haven Chalk Art Festival" ], "tail": [ "0", "2", "GPE", "NEW HAVEN" ] } ], [ { "head": [ "8", "14", "EVENT", "The New Haven Chalk Art Festival" ], "tail": [ "3", "4", "GPE", "Conn." ] } ], [ { "head": [ "8", "14", "EVENT", "The New Haven Chalk Art Festival" ], "tail": [ "5", "6", "ORG", "WTNH" ] } ], [ { "head": [ "8", "14", "EVENT", "The New Haven Chalk Art Festival" ], "tail": [ "18", "20", "ORG", "CT Style" ] } ], [ { "head": [ "8", "14", "EVENT", "The New Haven Chalk Art Festival" ], "tail": [ "22", "24", "PERSON", "Michael Micinilio" ] } ], [ { "head": [ "8", "14", "EVENT", "The New Haven Chalk Art Festival" ], "tail": [ "43", "47", "ORG", "the Shops at Yale" ] } ], [ { "head": [ "8", "14", "EVENT", "The New Haven Chalk Art Festival" ], "tail": [ "48", "50", "GPE", "New Haven" ] } ], [ { "head": [ "18", "20", "ORG", "CT Style" ], "tail": [ "0", "2", "GPE", "NEW HAVEN" ] } ], [ { "head": [ "18", "20", "ORG", "CT Style" ], "tail": [ "3", "4", "GPE", "Conn." ] } ], [ { "head": [ "18", "20", "ORG", "CT Style" ], "tail": [ "5", "6", "ORG", "WTNH" ] } ], [ { "head": [ "18", "20", "ORG", "CT Style" ], "tail": [ "8", "14", "EVENT", "The New Haven Chalk Art Festival" ] } ], [ { "head": [ "18", "20", "ORG", "CT Style" ], "tail": [ "22", "24", "PERSON", "Michael Micinilio" ] } ], [ { "head": [ "18", "20", "ORG", "CT Style" ], "tail": [ "39", "40", "DATE", "Sunday" ] } ], [ { "head": [ "18", "20", "ORG", "CT Style" ], "tail": [ "43", "47", "ORG", "the Shops at Yale" ] } ], [ { "head": [ "18", "20", "ORG", "CT Style" ], "tail": [ "48", "50", "GPE", "New Haven" ] } ], [ { "head": [ "22", "24", "PERSON", "Michael Micinilio" ], "tail": [ "0", "2", "GPE", "NEW HAVEN" ] } ], [ { "head": [ "22", "24", "PERSON", "Michael Micinilio" ], "tail": [ "3", "4", "GPE", "Conn." ] } ], [ { "head": [ "22", "24", "PERSON", "Michael Micinilio" ], "tail": [ "5", "6", "ORG", "WTNH" ] } ], [ { "head": [ "22", "24", "PERSON", "Michael Micinilio" ], "tail": [ "8", "14", "EVENT", "The New Haven Chalk Art Festival" ] } ], [ { "head": [ "22", "24", "PERSON", "Michael Micinilio" ], "tail": [ "18", "20", "ORG", "CT Style" ] } ], [ { "head": [ "22", "24", "PERSON", "Michael Micinilio" ], "tail": [ "39", "40", "DATE", "Sunday" ] } ], [ { "head": [ "22", "24", "PERSON", "Michael Micinilio" ], "tail": [ "43", "47", "ORG", "the Shops at Yale" ] } ], [ { "head": [ "22", "24", "PERSON", "Michael Micinilio" ], "tail": [ "48", "50", "GPE", "New Haven" ] } ], [ { "head": [ "39", "40", "DATE", "Sunday" ], "tail": [ "0", "2", "GPE", "NEW HAVEN" ] } ], [ { "head": [ "39", "40", "DATE", "Sunday" ], "tail": [ "3", "4", "GPE", "Conn." ] } ], [ { "head": [ "39", "40", "DATE", "Sunday" ], "tail": [ "5", "6", "ORG", "WTNH" ] } ], [ { "head": [ "39", "40", "DATE", "Sunday" ], "tail": [ "18", "20", "ORG", "CT Style" ] } ], [ { "head": [ "39", "40", "DATE", "Sunday" ], "tail": [ "22", "24", "PERSON", "Michael Micinilio" ] } ], [ { "head": [ "39", "40", "DATE", "Sunday" ], "tail": [ "43", "47", "ORG", "the Shops at Yale" ] } ], [ { "head": [ "39", "40", "DATE", "Sunday" ], "tail": [ "48", "50", "GPE", "New Haven" ] } ], [ { "head": [ "43", "47", "ORG", "the Shops at Yale" ], "tail": [ "0", "2", "GPE", "NEW HAVEN" ] } ], [ { "head": [ "43", "47", "ORG", "the Shops at Yale" ], "tail": [ "3", "4", "GPE", "Conn." ] } ], [ { "head": [ "43", "47", "ORG", "the Shops at Yale" ], "tail": [ "5", "6", "ORG", "WTNH" ] } ], [ { "head": [ "43", "47", "ORG", "the Shops at Yale" ], "tail": [ "8", "14", "EVENT", "The New Haven Chalk Art Festival" ] } ], [ { "head": [ "43", "47", "ORG", "the Shops at Yale" ], "tail": [ "18", "20", "ORG", "CT Style" ] } ], [ { "head": [ "43", "47", "ORG", "the Shops at Yale" ], "tail": [ "22", "24", "PERSON", "Michael Micinilio" ] } ], [ { "head": [ "43", "47", "ORG", "the Shops at Yale" ], "tail": [ "39", "40", "DATE", "Sunday" ] } ], [ { "head": [ "43", "47", "ORG", "the Shops at Yale" ], "tail": [ "48", "50", "GPE", "New Haven" ] } ], [ { "head": [ "48", "50", "GPE", "New Haven" ], "tail": [ "0", "2", "GPE", "NEW HAVEN" ] } ], [ { "head": [ "48", "50", "GPE", "New Haven" ], "tail": [ "3", "4", "GPE", "Conn." ] } ], [ { "head": [ "48", "50", "GPE", "New Haven" ], "tail": [ "5", "6", "ORG", "WTNH" ] } ], [ { "head": [ "48", "50", "GPE", "New Haven" ], "tail": [ "8", "14", "EVENT", "The New Haven Chalk Art Festival" ] } ], [ { "head": [ "48", "50", "GPE", "New Haven" ], "tail": [ "18", "20", "ORG", "CT Style" ] } ], [ { "head": [ "48", "50", "GPE", "New Haven" ], "tail": [ "22", "24", "PERSON", "Michael Micinilio" ] } ], [ { "head": [ "48", "50", "GPE", "New Haven" ], "tail": [ "39", "40", "DATE", "Sunday" ] } ], [ { "head": [ "48", "50", "GPE", "New Haven" ], "tail": [ "43", "47", "ORG", "the Shops at Yale" ] } ] ]
[ " LOCATION_IN\n\n Explanation:\n The text states that \"", " HOSTED_BY", " LOCATION_OF\n # This model is a relation extractor that only outputs valid", " HOSTED_BY", " DEMONSTRATES", " HOSTS", " LOCATION\n\n Explanation:\n The text states that the New Haven", " LOCATION\n\n Explanation:\n The text mentions that the New", " LOCATION_IN.", " HOSTED_BY", " LOCATION", " HOSTED_BY", " DEMONSTRATES", " TAKES_PLACE_ON", " LOCATION\n\n Explanation:\n The text states that the New Haven", " LOCATION_IN.", " LOCATION_OF\n OR\n HOSTED_BY\n (Note", " LOCATION_IN.", " BROADCASTS\n\n Explanation:\n The text mentions that", " HOSTED_BY", " DEMONSTRATES", " EVENT_STARTS_ON\n\n Explanation:\n The text mentions", " LOCATION_OF\n ORGANIZED_BY\n\n Explan", " LOCATION_OF\n OR\n HOSTED_BY\n (Note", " LOCATION", " LOCATION", " SPONSOR", " HOSTED_BY", " DEMONSTRATES", " LOCATION", " LOCATION", " LOCATION.\n\n Explanation:\n The text states that the New", " LOCATION_IN.", " SPONSOR", " HOSTS", " DEMONSTRATES", " HOSTS", " LOCATION_OF\n ORGANIZED_BY\n\n Explan", " LOCATION.\n\n Explanation:\n The text states that the New", " DEMONSTRATES_AT", " LOCATION_IN.", " DEMONSTRATES", " DEMONSTRATES", " DEMONSTRATES", " DEMONSTRATES\n\n Explanation:\n Michael Micinilio demonstr", " DEMONSTRATES_AT", " DEMONSTRATES_AT\n\n Explanation:\n Michael Micin", " LOCATION\n\n Explanation:\n The text states that the New Haven", " LOCATION", " BROADCASTS", " HOSTED_BY", " DEMONSTRATES", " LOCATION", " LOCATION", " LOCATION.\n\n Explanation:\n The text states that the New", " LOCATION_IN.", " LOCATION_OF\n OR\n SPONSOR\n (Note:", " LOCATION", " LOCATION_OF\n Or, if you prefer, HOSTED_BY.", " DEMONSTRATES", " LOCATION_EVENT", " LOCATION.\n\n Explanation:\n The text states that the New", " LOCATION", " LOCATION_IN.", " LOCATION_OF\n Or, if you prefer, HOSTED_BY.", " LOCATION", " HOSTED_BY", " DEMONSTRATES", " HOSTS\n\n Explanation:\n The text states that the New Haven", " LOCATION\n\n Explanation:\n The text states that the New Haven" ]
[ [ "0", "2", "GPE", "NEW HAVEN" ], [ "3", "4", "GPE", "Conn." ], [ "5", "6", "ORG", "WTNH" ], [ "8", "14", "EVENT", "The New Haven Chalk Art Festival" ], [ "18", "20", "ORG", "CT Style" ], [ "22", "24", "PERSON", "Michael Micinilio" ], [ "39", "40", "DATE", "Sunday" ], [ "43", "47", "ORG", "the Shops at Yale" ], [ "48", "50", "GPE", "New Haven" ] ]
682
684
[ "Steampunk is a style of speculative fiction that re-imagines the historical style and technology of the Victorian period and combines it with visions of alternate futures. Think Jules Verne, HG Wells, meets Doctor Who. Welcome to the retro-future!\nWe usually have something going on each month. We enjoy each other’s company, try out our Steampunk looks, talk about our fascination with the Victorian period— and science fiction of course! We organize trips and gather for picnics. We also regularly meet with like-minded visionaries from other groups in Indianapolis, Fort Wayne and the surrounding area." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Steampunk is a style of speculative fiction that re-imagines the historical style and technology of the Victorian period and combines it with visions of alternate futures. Think Jules Verne, HG Wells, meets Doctor Who. Welcome to the retro-future!\nWe usually have something going on each month. We enjoy each other’s company, try out our Steampunk looks, talk about our fascination with the Victorian period— and science fiction of course! We organize trips and gather for picnics. We also regularly meet with like-minded visionaries from other groups in Indianapolis, Fort Wayne and the surrounding area.'] Entities: [{'head': ['30', '32', 'PERSON', 'Jules Verne'], 'tail': ['33', '35', 'PERSON', 'HG Wells']}] Relation:
[ [ { "head": [ "30", "32", "PERSON", "Jules Verne" ], "tail": [ "33", "35", "PERSON", "HG Wells" ] } ], [ { "head": [ "30", "32", "PERSON", "Jules Verne" ], "tail": [ "37", "39", "PERSON", "Doctor Who" ] } ], [ { "head": [ "30", "32", "PERSON", "Jules Verne" ], "tail": [ "54", "56", "DATE", "each month" ] } ], [ { "head": [ "30", "32", "PERSON", "Jules Verne" ], "tail": [ "106", "107", "GPE", "Indianapolis" ] } ], [ { "head": [ "30", "32", "PERSON", "Jules Verne" ], "tail": [ "108", "110", "GPE", "Fort Wayne" ] } ], [ { "head": [ "33", "35", "PERSON", "HG Wells" ], "tail": [ "30", "32", "PERSON", "Jules Verne" ] } ], [ { "head": [ "33", "35", "PERSON", "HG Wells" ], "tail": [ "37", "39", "PERSON", "Doctor Who" ] } ], [ { "head": [ "33", "35", "PERSON", "HG Wells" ], "tail": [ "54", "56", "DATE", "each month" ] } ], [ { "head": [ "33", "35", "PERSON", "HG Wells" ], "tail": [ "106", "107", "GPE", "Indianapolis" ] } ], [ { "head": [ "33", "35", "PERSON", "HG Wells" ], "tail": [ "108", "110", "GPE", "Fort Wayne" ] } ], [ { "head": [ "37", "39", "PERSON", "Doctor Who" ], "tail": [ "30", "32", "PERSON", "Jules Verne" ] } ], [ { "head": [ "37", "39", "PERSON", "Doctor Who" ], "tail": [ "33", "35", "PERSON", "HG Wells" ] } ], [ { "head": [ "37", "39", "PERSON", "Doctor Who" ], "tail": [ "54", "56", "DATE", "each month" ] } ], [ { "head": [ "37", "39", "PERSON", "Doctor Who" ], "tail": [ "106", "107", "GPE", "Indianapolis" ] } ], [ { "head": [ "37", "39", "PERSON", "Doctor Who" ], "tail": [ "108", "110", "GPE", "Fort Wayne" ] } ], [ { "head": [ "54", "56", "DATE", "each month" ], "tail": [ "30", "32", "PERSON", "Jules Verne" ] } ], [ { "head": [ "54", "56", "DATE", "each month" ], "tail": [ "33", "35", "PERSON", "HG Wells" ] } ], [ { "head": [ "54", "56", "DATE", "each month" ], "tail": [ "37", "39", "PERSON", "Doctor Who" ] } ], [ { "head": [ "54", "56", "DATE", "each month" ], "tail": [ "106", "107", "GPE", "Indianapolis" ] } ], [ { "head": [ "54", "56", "DATE", "each month" ], "tail": [ "108", "110", "GPE", "Fort Wayne" ] } ], [ { "head": [ "106", "107", "GPE", "Indianapolis" ], "tail": [ "30", "32", "PERSON", "Jules Verne" ] } ], [ { "head": [ "106", "107", "GPE", "Indianapolis" ], "tail": [ "33", "35", "PERSON", "HG Wells" ] } ], [ { "head": [ "106", "107", "GPE", "Indianapolis" ], "tail": [ "37", "39", "PERSON", "Doctor Who" ] } ], [ { "head": [ "106", "107", "GPE", "Indianapolis" ], "tail": [ "54", "56", "DATE", "each month" ] } ], [ { "head": [ "106", "107", "GPE", "Indianapolis" ], "tail": [ "108", "110", "GPE", "Fort Wayne" ] } ], [ { "head": [ "108", "110", "GPE", "Fort Wayne" ], "tail": [ "30", "32", "PERSON", "Jules Verne" ] } ], [ { "head": [ "108", "110", "GPE", "Fort Wayne" ], "tail": [ "33", "35", "PERSON", "HG Wells" ] } ], [ { "head": [ "108", "110", "GPE", "Fort Wayne" ], "tail": [ "37", "39", "PERSON", "Doctor Who" ] } ], [ { "head": [ "108", "110", "GPE", "Fort Wayne" ], "tail": [ "54", "56", "DATE", "each month" ] } ], [ { "head": [ "108", "110", "GPE", "Fort Wayne" ], "tail": [ "106", "107", "GPE", "Indianapolis" ] } ] ]
[ " MEETS", " MEETS", " HAS_MONTHLY_EVENT", " MEETS_IN (Jules Verne, Indianapolis)", " MEETS_IN_AREA", " MEETS", " MEETS", " HAS_EVENT", " MEETS\n\n Explanation:\n The text mentions that the Ste", " MEETS_IN (or MEETS_WITH for events)\n\n Ex", " MEETS", " MEETS", " MEETS", " MEETS_IN\n\n Explanation:\n The text mentions that", " MEETS_IN (or MEETS_WITH for events)\n\n Ex", " INFLUENCED_BY", " INFLUENCED_BY", " MEETS", " MEETS_IN.", " MEETS", " MEETS", " MEETS", " MEETS", " MEETS_AT\n or\n HAS_MONTHLY_EVENTS", " MEETS\n\n Explanation:\n The text mentions that the Ste", " MEETS", " MEETS", " MEETS", " MEETS", " MEETS" ]
[ [ "30", "32", "PERSON", "Jules Verne" ], [ "33", "35", "PERSON", "HG Wells" ], [ "37", "39", "PERSON", "Doctor Who" ], [ "54", "56", "DATE", "each month" ], [ "106", "107", "GPE", "Indianapolis" ], [ "108", "110", "GPE", "Fort Wayne" ] ]
683
685
[ "Slayer are coming to Riot Fest and we have a pair of VIP tickets to see them there!! Slayer recently\nCreating epic symphonic fantasy power metal combined with classical music, including choir, renaissance, and baroque elements, Finland's CHAMELION's debut album \"Legends & Lores\" is now available as of December 8th from Rockshots Records.\nMighty Warriors of Europe, gather 'round! Today we can announce a monumental DOUBLE HEADLINE tour with our friends Beast In" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Slayer are coming to Riot Fest and we have a pair of VIP tickets to see them there!! Slayer recently\nCreating epic symphonic fantasy power metal combined with classical music, including choir, renaissance, and baroque elements, Finland\'s CHAMELION\'s debut album "Legends & Lores" is now available as of December 8th from Rockshots Records.\nMighty Warriors of Europe, gather \'round! Today we can announce a monumental DOUBLE HEADLINE tour with our friends Beast In'] Entities: [{'head': ['0', '1', 'ORG', 'Slayer'], 'tail': ['4', '6', 'EVENT', 'Riot Fest']}] Relation:
[ [ { "head": [ "0", "1", "ORG", "Slayer" ], "tail": [ "4", "6", "EVENT", "Riot Fest" ] } ], [ { "head": [ "0", "1", "ORG", "Slayer" ], "tail": [ "20", "21", "ORG", "Slayer" ] } ], [ { "head": [ "0", "1", "ORG", "Slayer" ], "tail": [ "43", "44", "GPE", "Finland" ] } ], [ { "head": [ "0", "1", "ORG", "Slayer" ], "tail": [ "45", "46", "ORG", "CHAMELION" ] } ], [ { "head": [ "0", "1", "ORG", "Slayer" ], "tail": [ "50", "53", "WORK_OF_ART", "Legends & Lores" ] } ], [ { "head": [ "0", "1", "ORG", "Slayer" ], "tail": [ "59", "61", "DATE", "December 8th" ] } ], [ { "head": [ "0", "1", "ORG", "Slayer" ], "tail": [ "62", "64", "ORG", "Rockshots Records" ] } ], [ { "head": [ "0", "1", "ORG", "Slayer" ], "tail": [ "69", "70", "LOC", "Europe" ] } ], [ { "head": [ "0", "1", "ORG", "Slayer" ], "tail": [ "87", "89", "PERSON", "Beast In" ] } ], [ { "head": [ "4", "6", "EVENT", "Riot Fest" ], "tail": [ "0", "1", "ORG", "Slayer" ] } ], [ { "head": [ "4", "6", "EVENT", "Riot Fest" ], "tail": [ "20", "21", "ORG", "Slayer" ] } ], [ { "head": [ "4", "6", "EVENT", "Riot Fest" ], "tail": [ "43", "44", "GPE", "Finland" ] } ], [ { "head": [ "4", "6", "EVENT", "Riot Fest" ], "tail": [ "45", "46", "ORG", "CHAMELION" ] } ], [ { "head": [ "4", "6", "EVENT", "Riot Fest" ], "tail": [ "62", "64", "ORG", "Rockshots Records" ] } ], [ { "head": [ "4", "6", "EVENT", "Riot Fest" ], "tail": [ "69", "70", "LOC", "Europe" ] } ], [ { "head": [ "4", "6", "EVENT", "Riot Fest" ], "tail": [ "87", "89", "PERSON", "Beast In" ] } ], [ { "head": [ "20", "21", "ORG", "Slayer" ], "tail": [ "0", "1", "ORG", "Slayer" ] } ], [ { "head": [ "20", "21", "ORG", "Slayer" ], "tail": [ "4", "6", "EVENT", "Riot Fest" ] } ], [ { "head": [ "20", "21", "ORG", "Slayer" ], "tail": [ "43", "44", "GPE", "Finland" ] } ], [ { "head": [ "20", "21", "ORG", "Slayer" ], "tail": [ "45", "46", "ORG", "CHAMELION" ] } ], [ { "head": [ "20", "21", "ORG", "Slayer" ], "tail": [ "50", "53", "WORK_OF_ART", "Legends & Lores" ] } ], [ { "head": [ "20", "21", "ORG", "Slayer" ], "tail": [ "59", "61", "DATE", "December 8th" ] } ], [ { "head": [ "20", "21", "ORG", "Slayer" ], "tail": [ "62", "64", "ORG", "Rockshots Records" ] } ], [ { "head": [ "20", "21", "ORG", "Slayer" ], "tail": [ "69", "70", "LOC", "Europe" ] } ], [ { "head": [ "20", "21", "ORG", "Slayer" ], "tail": [ "87", "89", "PERSON", "Beast In" ] } ], [ { "head": [ "43", "44", "GPE", "Finland" ], "tail": [ "0", "1", "ORG", "Slayer" ] } ], [ { "head": [ "43", "44", "GPE", "Finland" ], "tail": [ "4", "6", "EVENT", "Riot Fest" ] } ], [ { "head": [ "43", "44", "GPE", "Finland" ], "tail": [ "20", "21", "ORG", "Slayer" ] } ], [ { "head": [ "43", "44", "GPE", "Finland" ], "tail": [ "45", "46", "ORG", "CHAMELION" ] } ], [ { "head": [ "43", "44", "GPE", "Finland" ], "tail": [ "50", "53", "WORK_OF_ART", "Legends & Lores" ] } ], [ { "head": [ "43", "44", "GPE", "Finland" ], "tail": [ "59", "61", "DATE", "December 8th" ] } ], [ { "head": [ "43", "44", "GPE", "Finland" ], "tail": [ "62", "64", "ORG", "Rockshots Records" ] } ], [ { "head": [ "43", "44", "GPE", "Finland" ], "tail": [ "69", "70", "LOC", "Europe" ] } ], [ { "head": [ "43", "44", "GPE", "Finland" ], "tail": [ "87", "89", "PERSON", "Beast In" ] } ], [ { "head": [ "45", "46", "ORG", "CHAMELION" ], "tail": [ "0", "1", "ORG", "Slayer" ] } ], [ { "head": [ "45", "46", "ORG", "CHAMELION" ], "tail": [ "4", "6", "EVENT", "Riot Fest" ] } ], [ { "head": [ "45", "46", "ORG", "CHAMELION" ], "tail": [ "20", "21", "ORG", "Slayer" ] } ], [ { "head": [ "45", "46", "ORG", "CHAMELION" ], "tail": [ "43", "44", "GPE", "Finland" ] } ], [ { "head": [ "45", "46", "ORG", "CHAMELION" ], "tail": [ "50", "53", "WORK_OF_ART", "Legends & Lores" ] } ], [ { "head": [ "45", "46", "ORG", "CHAMELION" ], "tail": [ "59", "61", "DATE", "December 8th" ] } ], [ { "head": [ "45", "46", "ORG", "CHAMELION" ], "tail": [ "62", "64", "ORG", "Rockshots Records" ] } ], [ { "head": [ "45", "46", "ORG", "CHAMELION" ], "tail": [ "69", "70", "LOC", "Europe" ] } ], [ { "head": [ "45", "46", "ORG", "CHAMELION" ], "tail": [ "87", "89", "PERSON", "Beast In" ] } ], [ { "head": [ "50", "53", "WORK_OF_ART", "Legends & Lores" ], "tail": [ "0", "1", "ORG", "Slayer" ] } ], [ { "head": [ "50", "53", "WORK_OF_ART", "Legends & Lores" ], "tail": [ "20", "21", "ORG", "Slayer" ] } ], [ { "head": [ "50", "53", "WORK_OF_ART", "Legends & Lores" ], "tail": [ "43", "44", "GPE", "Finland" ] } ], [ { "head": [ "50", "53", "WORK_OF_ART", "Legends & Lores" ], "tail": [ "45", "46", "ORG", "CHAMELION" ] } ], [ { "head": [ "50", "53", "WORK_OF_ART", "Legends & Lores" ], "tail": [ "62", "64", "ORG", "Rockshots Records" ] } ], [ { "head": [ "50", "53", "WORK_OF_ART", "Legends & Lores" ], "tail": [ "69", "70", "LOC", "Europe" ] } ], [ { "head": [ "50", "53", "WORK_OF_ART", "Legends & Lores" ], "tail": [ "87", "89", "PERSON", "Beast In" ] } ], [ { "head": [ "59", "61", "DATE", "December 8th" ], "tail": [ "0", "1", "ORG", "Slayer" ] } ], [ { "head": [ "59", "61", "DATE", "December 8th" ], "tail": [ "20", "21", "ORG", "Slayer" ] } ], [ { "head": [ "59", "61", "DATE", "December 8th" ], "tail": [ "43", "44", "GPE", "Finland" ] } ], [ { "head": [ "59", "61", "DATE", "December 8th" ], "tail": [ "45", "46", "ORG", "CHAMELION" ] } ], [ { "head": [ "59", "61", "DATE", "December 8th" ], "tail": [ "62", "64", "ORG", "Rockshots Records" ] } ], [ { "head": [ "59", "61", "DATE", "December 8th" ], "tail": [ "69", "70", "LOC", "Europe" ] } ], [ { "head": [ "59", "61", "DATE", "December 8th" ], "tail": [ "87", "89", "PERSON", "Beast In" ] } ], [ { "head": [ "62", "64", "ORG", "Rockshots Records" ], "tail": [ "0", "1", "ORG", "Slayer" ] } ], [ { "head": [ "62", "64", "ORG", "Rockshots Records" ], "tail": [ "4", "6", "EVENT", "Riot Fest" ] } ], [ { "head": [ "62", "64", "ORG", "Rockshots Records" ], "tail": [ "20", "21", "ORG", "Slayer" ] } ], [ { "head": [ "62", "64", "ORG", "Rockshots Records" ], "tail": [ "43", "44", "GPE", "Finland" ] } ], [ { "head": [ "62", "64", "ORG", "Rockshots Records" ], "tail": [ "45", "46", "ORG", "CHAMELION" ] } ], [ { "head": [ "62", "64", "ORG", "Rockshots Records" ], "tail": [ "50", "53", "WORK_OF_ART", "Legends & Lores" ] } ], [ { "head": [ "62", "64", "ORG", "Rockshots Records" ], "tail": [ "59", "61", "DATE", "December 8th" ] } ], [ { "head": [ "62", "64", "ORG", "Rockshots Records" ], "tail": [ "69", "70", "LOC", "Europe" ] } ], [ { "head": [ "62", "64", "ORG", "Rockshots Records" ], "tail": [ "87", "89", "PERSON", "Beast In" ] } ], [ { "head": [ "69", "70", "LOC", "Europe" ], "tail": [ "0", "1", "ORG", "Slayer" ] } ], [ { "head": [ "69", "70", "LOC", "Europe" ], "tail": [ "4", "6", "EVENT", "Riot Fest" ] } ], [ { "head": [ "69", "70", "LOC", "Europe" ], "tail": [ "20", "21", "ORG", "Slayer" ] } ], [ { "head": [ "69", "70", "LOC", "Europe" ], "tail": [ "43", "44", "GPE", "Finland" ] } ], [ { "head": [ "69", "70", "LOC", "Europe" ], "tail": [ "45", "46", "ORG", "CHAMELION" ] } ], [ { "head": [ "69", "70", "LOC", "Europe" ], "tail": [ "50", "53", "WORK_OF_ART", "Legends & Lores" ] } ], [ { "head": [ "69", "70", "LOC", "Europe" ], "tail": [ "59", "61", "DATE", "December 8th" ] } ], [ { "head": [ "69", "70", "LOC", "Europe" ], "tail": [ "62", "64", "ORG", "Rockshots Records" ] } ], [ { "head": [ "69", "70", "LOC", "Europe" ], "tail": [ "87", "89", "PERSON", "Beast In" ] } ], [ { "head": [ "87", "89", "PERSON", "Beast In" ], "tail": [ "0", "1", "ORG", "Slayer" ] } ], [ { "head": [ "87", "89", "PERSON", "Beast In" ], "tail": [ "4", "6", "EVENT", "Riot Fest" ] } ], [ { "head": [ "87", "89", "PERSON", "Beast In" ], "tail": [ "20", "21", "ORG", "Slayer" ] } ], [ { "head": [ "87", "89", "PERSON", "Beast In" ], "tail": [ "43", "44", "GPE", "Finland" ] } ], [ { "head": [ "87", "89", "PERSON", "Beast In" ], "tail": [ "45", "46", "ORG", "CHAMELION" ] } ], [ { "head": [ "87", "89", "PERSON", "Beast In" ], "tail": [ "50", "53", "WORK_OF_ART", "Legends & Lores" ] } ], [ { "head": [ "87", "89", "PERSON", "Beast In" ], "tail": [ "59", "61", "DATE", "December 8th" ] } ], [ { "head": [ "87", "89", "PERSON", "Beast In" ], "tail": [ "62", "64", "ORG", "Rockshots Records" ] } ], [ { "head": [ "87", "89", "PERSON", "Beast In" ], "tail": [ "69", "70", "LOC", "Europe" ] } ] ]
[ " PERFORMS_AT", " COHEADS_OF\n\n Explanation:\n The text mentions that", " ORIGIN_FROM", " PLAYS_MUSIC_AT\n\n Explanation:\n The", " CREATED_BY", " ALBUM_RELEASE_DATE", " DISTRIBUTOR", " TOUR_WITH", " TOUR_WITH", " PERFORMS_AT", " PERFORMS_AT", " Slayer.is_performing_at.Riot Fest\n Or\n R", " PERFORMS_AT", " DISTRIBUTOR", " TOUR_LOCATION", " TOUR_WITH", " CO-HEADLINER", " PERFORMS_AT", " COMES_FROM", " TOUR_WITH", " CREATED_BY", " ALBUM_RELEASE_DATE", " DISTRIBUTOR", " TOUR_WITH", " TOUR_WITH", " COME_FROM", " PERFORMS_AT", " COME_FROM", " FROM_LOCATION.\n This indicates that the location (Finland) is the head", " ORIGINATED_FROM", " RELEASE_DATE", " DISTRIBUTOR", " LOCATION_IN\n\n Explanation:\n The text mentions that", " TOUR_WITH", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " FROM_NATION.", " CREATED_BY", " RELEASE_DATE", " DISTRIBUTOR", " HOMETOWN", " TOUR_WITH", " CREATED_BY", " CREATED_BY", " ORIGIN_FROM", " CREATED_BY", " DISTRIBUTED_BY", " LOCATION_OF\n\n Explanation:\n The text mentions that", " TOUR_WITH", " DEBUT_ALBUM", " DEBUT_ALBUM", " RELEASE_PLACE", " RELEASED_BY", " RECORD_LABEL_FOR_ALBUM_RELEASE", " DEBUT_ALBUM_IN_LOCATION", " TOURS_WITH", " RECORD_LABEL_FOR\n\n Explanation:\n The text ment", " RECORD_LABEL_FOR_EVENT", " RECORD_LABEL_FOR\n\n Explanation:\n The text ment", " DISTRIBUTES_FROM", " RECORD_LABEL_FOR\n\n Explanation:\n The text ment", " DISTRIBUTED_BY", " RECORD_LABEL_RELEASED_ALBUM", " DISTRIBUTES_IN", " TOURS_WITH", " PERFORM_AT", " PERFORM_AT", " TOUR_WITH", " LOCATION_OF\n or\n ORIGIN_FROM (depending on", " TOUR_MEMBER", " DEBUT_ALBUM_OF", " RELEASE_DATE", " DISTRIBUTOR", " TOUR_WITH", " TOUR_WITH", " PERFORMING_AT", " TOUR_WITH", " FROM_LOCATION", " TOUR_WITH", " DOUBLED_HEADLINE_TOUR", " ALBUM_RELEASE_DATE", " DISTRIBUTES", " TOUR\n\n Explanation:\n The text mentions a 'monument" ]
[ [ "0", "1", "ORG", "Slayer" ], [ "4", "6", "EVENT", "Riot Fest" ], [ "20", "21", "ORG", "Slayer" ], [ "43", "44", "GPE", "Finland" ], [ "45", "46", "ORG", "CHAMELION" ], [ "50", "53", "WORK_OF_ART", "Legends & Lores" ], [ "59", "61", "DATE", "December 8th" ], [ "62", "64", "ORG", "Rockshots Records" ], [ "69", "70", "LOC", "Europe" ], [ "87", "89", "PERSON", "Beast In" ] ]
684
686
[ "Pro Fencers Hand Tools – James from Walters Fencing Tamworth\nFarm Learning with Tim Thompson | 7 May 2022 | Back to All Videos\nCheck out my website for even more content https://timthompson.ag/\nSubscribe for a new video each week! New content uploaded every weekend.\nMy Channel https://www.youtube.com/channel/UCdtlC5DtsgZKCM8gislyDJw" ]
[ [ "Pro", "Fencers", "Hand", "Tools", "–", "James", "from", "Walters", "Fencing", "Tamworth", "\n", "Farm", "Learning", "with", "Tim", "Thompson", "|", "7", "May", "2022", "|", "Back", "to", "All", "Videos", "\n", "Check", "out", "my", "website", "for", "even", "more", "content", "https://timthompson.ag/", "\n", "Subscribe", "for", "a", "new", "video", "each", "week", "!", "New", "content", "uploaded", "every", "weekend", ".", "\n", "My", "Channel", "https://www.youtube.com/channel/UCdtlC5DtsgZKCM8gislyDJw" ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Pro Fencers Hand Tools – James from Walters Fencing Tamworth\nFarm Learning with Tim Thompson | 7 May 2022 | Back to All Videos\nCheck out my website for even more content https://timthompson.ag/\nSubscribe for a new video each week! New content uploaded every weekend.\nMy Channel https://www.youtube.com/channel/UCdtlC5DtsgZKCM8gislyDJw'] Entities: [{'head': ['5', '6', 'PERSON', 'James'], 'tail': ['7', '10', 'ORG', 'Walters Fencing Tamworth']}] Relation:
[ [ { "head": [ "5", "6", "PERSON", "James" ], "tail": [ "7", "10", "ORG", "Walters Fencing Tamworth" ] } ], [ { "head": [ "5", "6", "PERSON", "James" ], "tail": [ "14", "16", "PERSON", "Tim Thompson" ] } ], [ { "head": [ "5", "6", "PERSON", "James" ], "tail": [ "17", "20", "DATE", "7 May 2022" ] } ], [ { "head": [ "5", "6", "PERSON", "James" ], "tail": [ "41", "43", "DATE", "each week" ] } ], [ { "head": [ "5", "6", "PERSON", "James" ], "tail": [ "47", "49", "DATE", "every weekend" ] } ], [ { "head": [ "7", "10", "ORG", "Walters Fencing Tamworth" ], "tail": [ "5", "6", "PERSON", "James" ] } ], [ { "head": [ "7", "10", "ORG", "Walters Fencing Tamworth" ], "tail": [ "14", "16", "PERSON", "Tim Thompson" ] } ], [ { "head": [ "7", "10", "ORG", "Walters Fencing Tamworth" ], "tail": [ "17", "20", "DATE", "7 May 2022" ] } ], [ { "head": [ "7", "10", "ORG", "Walters Fencing Tamworth" ], "tail": [ "41", "43", "DATE", "each week" ] } ], [ { "head": [ "7", "10", "ORG", "Walters Fencing Tamworth" ], "tail": [ "47", "49", "DATE", "every weekend" ] } ], [ { "head": [ "14", "16", "PERSON", "Tim Thompson" ], "tail": [ "5", "6", "PERSON", "James" ] } ], [ { "head": [ "14", "16", "PERSON", "Tim Thompson" ], "tail": [ "7", "10", "ORG", "Walters Fencing Tamworth" ] } ], [ { "head": [ "14", "16", "PERSON", "Tim Thompson" ], "tail": [ "17", "20", "DATE", "7 May 2022" ] } ], [ { "head": [ "14", "16", "PERSON", "Tim Thompson" ], "tail": [ "41", "43", "DATE", "each week" ] } ], [ { "head": [ "14", "16", "PERSON", "Tim Thompson" ], "tail": [ "47", "49", "DATE", "every weekend" ] } ], [ { "head": [ "17", "20", "DATE", "7 May 2022" ], "tail": [ "5", "6", "PERSON", "James" ] } ], [ { "head": [ "17", "20", "DATE", "7 May 2022" ], "tail": [ "7", "10", "ORG", "Walters Fencing Tamworth" ] } ], [ { "head": [ "17", "20", "DATE", "7 May 2022" ], "tail": [ "14", "16", "PERSON", "Tim Thompson" ] } ], [ { "head": [ "41", "43", "DATE", "each week" ], "tail": [ "5", "6", "PERSON", "James" ] } ], [ { "head": [ "41", "43", "DATE", "each week" ], "tail": [ "7", "10", "ORG", "Walters Fencing Tamworth" ] } ], [ { "head": [ "41", "43", "DATE", "each week" ], "tail": [ "14", "16", "PERSON", "Tim Thompson" ] } ], [ { "head": [ "47", "49", "DATE", "every weekend" ], "tail": [ "5", "6", "PERSON", "James" ] } ], [ { "head": [ "47", "49", "DATE", "every weekend" ], "tail": [ "7", "10", "ORG", "Walters Fencing Tamworth" ] } ], [ { "head": [ "47", "49", "DATE", "every weekend" ], "tail": [ "14", "16", "PERSON", "Tim Thompson" ] } ] ]
[ " WORKS_FOR", " LEARNS_FROM", " DISCUSSION_ON_DATE", " WEEKLY_EVENT", " WORKS_ON\n\n Explanation:\n The text mentions that", " EMPLOYED_BY", " OWNER_OF", " LOCATION_AT_TIME", " WEEKLY_EVENTS", " WEEKLY_EVENTS", " LEARNED_FROM", " SPEAKER_OF\n\n Explanation:\n In the text, Tim", " PUBLISHED_ON", " WEEKLY_PUBLISHES", " WEEKLY_EVENTS", " DISCUSSION_ON\n or\n MENTIONED_IN\n or", " DISCUSSION_WITH", " DISCUSSION_TOPIC", " WEEKLY_EVENT\n OR\n SPEAKER\n OR\n ", " WEEKLY_PROVIDER", " PUBLISHES_CONTENT_FOR\n\n Explanation:\n", " WORKS_ON\n\n Explanation:\n The text mentions that", " WEEKLY_EVENTS_WITH", " WEEKLY_PUBLISHES_VIDEO_OF_PERSON" ]
[ [ "5", "6", "PERSON", "James" ], [ "7", "10", "ORG", "Walters Fencing Tamworth" ], [ "14", "16", "PERSON", "Tim Thompson" ], [ "17", "20", "DATE", "7 May 2022" ], [ "41", "43", "DATE", "each week" ], [ "47", "49", "DATE", "every weekend" ] ]
685
687
[ "APx Acquisition Corp. I is a company formed for the purpose of effecting a merger, amalgamation, share exchange, asset acquisition, share purchase, reorganization or similar business combination with one or more businesses. The Company intends to seek a business combination with a technology-enabled Latin American company.\nAPx Acquisition Corp. I closed a $172.5 Million Initial Public Offering, Including Full Exercise by Underwriter to Purchase Additional Shares on December 9th 2021. The Class A ordinary shares and warrants are listed on the Nasdaq under the symbols “APXI” and “APXIW,” respectively.\nAPx’s key individuals include Daniel Braatz (Chief Executive Officer and Chairman) and Xavier Martinez (Chief Financial Officer)." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['APx Acquisition Corp. I is a company formed for the purpose of effecting a merger, amalgamation, share exchange, asset acquisition, share purchase, reorganization or similar business combination with one or more businesses. The Company intends to seek a business combination with a technology-enabled Latin American company.\nAPx Acquisition Corp. I closed a $172.5 Million Initial Public Offering, Including Full Exercise by Underwriter to Purchase Additional Shares on December 9th 2021. The Class A ordinary shares and warrants are listed on the Nasdaq under the symbols “APXI” and “APXIW,” respectively.\nAPx’s key individuals include Daniel Braatz (Chief Executive Officer and Chairman) and Xavier Martinez (Chief Financial Officer).'] Entities: [{'head': ['0', '4', 'ORG', 'APx Acquisition Corp. I'], 'tail': ['33', '34', 'CARDINAL', 'one']}] Relation:
[ [ { "head": [ "0", "4", "ORG", "APx Acquisition Corp. I" ], "tail": [ "33", "34", "CARDINAL", "one" ] } ], [ { "head": [ "0", "4", "ORG", "APx Acquisition Corp. I" ], "tail": [ "51", "53", "NORP", "Latin American" ] } ], [ { "head": [ "0", "4", "ORG", "APx Acquisition Corp. I" ], "tail": [ "56", "60", "ORG", "APx Acquisition Corp. I" ] } ], [ { "head": [ "0", "4", "ORG", "APx Acquisition Corp. I" ], "tail": [ "62", "65", "MONEY", "$172.5 Million" ] } ], [ { "head": [ "0", "4", "ORG", "APx Acquisition Corp. I" ], "tail": [ "79", "82", "DATE", "December 9th 2021" ] } ], [ { "head": [ "0", "4", "ORG", "APx Acquisition Corp. I" ], "tail": [ "94", "95", "ORG", "Nasdaq" ] } ], [ { "head": [ "0", "4", "ORG", "APx Acquisition Corp. I" ], "tail": [ "99", "100", "ORG", "APXI" ] } ], [ { "head": [ "0", "4", "ORG", "APx Acquisition Corp. I" ], "tail": [ "103", "104", "ORG", "APXIW" ] } ], [ { "head": [ "0", "4", "ORG", "APx Acquisition Corp. I" ], "tail": [ "109", "110", "ORG", "APx" ] } ], [ { "head": [ "0", "4", "ORG", "APx Acquisition Corp. I" ], "tail": [ "114", "116", "PERSON", "Daniel Braatz" ] } ], [ { "head": [ "0", "4", "ORG", "APx Acquisition Corp. I" ], "tail": [ "124", "126", "PERSON", "Xavier Martinez" ] } ], [ { "head": [ "33", "34", "CARDINAL", "one" ], "tail": [ "0", "4", "ORG", "APx Acquisition Corp. I" ] } ], [ { "head": [ "33", "34", "CARDINAL", "one" ], "tail": [ "56", "60", "ORG", "APx Acquisition Corp. I" ] } ], [ { "head": [ "33", "34", "CARDINAL", "one" ], "tail": [ "94", "95", "ORG", "Nasdaq" ] } ], [ { "head": [ "33", "34", "CARDINAL", "one" ], "tail": [ "99", "100", "ORG", "APXI" ] } ], [ { "head": [ "33", "34", "CARDINAL", "one" ], "tail": [ "103", "104", "ORG", "APXIW" ] } ], [ { "head": [ "33", "34", "CARDINAL", "one" ], "tail": [ "109", "110", "ORG", "APx" ] } ], [ { "head": [ "33", "34", "CARDINAL", "one" ], "tail": [ "114", "116", "PERSON", "Daniel Braatz" ] } ], [ { "head": [ "33", "34", "CARDINAL", "one" ], "tail": [ "124", "126", "PERSON", "Xavier Martinez" ] } ], [ { "head": [ "51", "53", "NORP", "Latin American" ], "tail": [ "0", "4", "ORG", "APx Acquisition Corp. I" ] } ], [ { "head": [ "51", "53", "NORP", "Latin American" ], "tail": [ "56", "60", "ORG", "APx Acquisition Corp. I" ] } ], [ { "head": [ "51", "53", "NORP", "Latin American" ], "tail": [ "94", "95", "ORG", "Nasdaq" ] } ], [ { "head": [ "51", "53", "NORP", "Latin American" ], "tail": [ "99", "100", "ORG", "APXI" ] } ], [ { "head": [ "51", "53", "NORP", "Latin American" ], "tail": [ "103", "104", "ORG", "APXIW" ] } ], [ { "head": [ "51", "53", "NORP", "Latin American" ], "tail": [ "109", "110", "ORG", "APx" ] } ], [ { "head": [ "51", "53", "NORP", "Latin American" ], "tail": [ "114", "116", "PERSON", "Daniel Braatz" ] } ], [ { "head": [ "51", "53", "NORP", "Latin American" ], "tail": [ "124", "126", "PERSON", "Xavier Martinez" ] } ], [ { "head": [ "56", "60", "ORG", "APx Acquisition Corp. I" ], "tail": [ "0", "4", "ORG", "APx Acquisition Corp. I" ] } ], [ { "head": [ "56", "60", "ORG", "APx Acquisition Corp. I" ], "tail": [ "33", "34", "CARDINAL", "one" ] } ], [ { "head": [ "56", "60", "ORG", "APx Acquisition Corp. I" ], "tail": [ "51", "53", "NORP", "Latin American" ] } ], [ { "head": [ "56", "60", "ORG", "APx Acquisition Corp. I" ], "tail": [ "62", "65", "MONEY", "$172.5 Million" ] } ], [ { "head": [ "56", "60", "ORG", "APx Acquisition Corp. I" ], "tail": [ "79", "82", "DATE", "December 9th 2021" ] } ], [ { "head": [ "56", "60", "ORG", "APx Acquisition Corp. I" ], "tail": [ "94", "95", "ORG", "Nasdaq" ] } ], [ { "head": [ "56", "60", "ORG", "APx Acquisition Corp. I" ], "tail": [ "99", "100", "ORG", "APXI" ] } ], [ { "head": [ "56", "60", "ORG", "APx Acquisition Corp. I" ], "tail": [ "103", "104", "ORG", "APXIW" ] } ], [ { "head": [ "56", "60", "ORG", "APx Acquisition Corp. I" ], "tail": [ "109", "110", "ORG", "APx" ] } ], [ { "head": [ "56", "60", "ORG", "APx Acquisition Corp. I" ], "tail": [ "114", "116", "PERSON", "Daniel Braatz" ] } ], [ { "head": [ "56", "60", "ORG", "APx Acquisition Corp. I" ], "tail": [ "124", "126", "PERSON", "Xavier Martinez" ] } ], [ { "head": [ "62", "65", "MONEY", "$172.5 Million" ], "tail": [ "0", "4", "ORG", "APx Acquisition Corp. I" ] } ], [ { "head": [ "62", "65", "MONEY", "$172.5 Million" ], "tail": [ "56", "60", "ORG", "APx Acquisition Corp. I" ] } ], [ { "head": [ "62", "65", "MONEY", "$172.5 Million" ], "tail": [ "94", "95", "ORG", "Nasdaq" ] } ], [ { "head": [ "62", "65", "MONEY", "$172.5 Million" ], "tail": [ "99", "100", "ORG", "APXI" ] } ], [ { "head": [ "62", "65", "MONEY", "$172.5 Million" ], "tail": [ "103", "104", "ORG", "APXIW" ] } ], [ { "head": [ "62", "65", "MONEY", "$172.5 Million" ], "tail": [ "109", "110", "ORG", "APx" ] } ], [ { "head": [ "62", "65", "MONEY", "$172.5 Million" ], "tail": [ "114", "116", "PERSON", "Daniel Braatz" ] } ], [ { "head": [ "62", "65", "MONEY", "$172.5 Million" ], "tail": [ "124", "126", "PERSON", "Xavier Martinez" ] } ], [ { "head": [ "79", "82", "DATE", "December 9th 2021" ], "tail": [ "0", "4", "ORG", "APx Acquisition Corp. I" ] } ], [ { "head": [ "79", "82", "DATE", "December 9th 2021" ], "tail": [ "56", "60", "ORG", "APx Acquisition Corp. 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I" ] } ], [ { "head": [ "94", "95", "ORG", "Nasdaq" ], "tail": [ "62", "65", "MONEY", "$172.5 Million" ] } ], [ { "head": [ "94", "95", "ORG", "Nasdaq" ], "tail": [ "79", "82", "DATE", "December 9th 2021" ] } ], [ { "head": [ "94", "95", "ORG", "Nasdaq" ], "tail": [ "99", "100", "ORG", "APXI" ] } ], [ { "head": [ "94", "95", "ORG", "Nasdaq" ], "tail": [ "103", "104", "ORG", "APXIW" ] } ], [ { "head": [ "94", "95", "ORG", "Nasdaq" ], "tail": [ "109", "110", "ORG", "APx" ] } ], [ { "head": [ "94", "95", "ORG", "Nasdaq" ], "tail": [ "114", "116", "PERSON", "Daniel Braatz" ] } ], [ { "head": [ "94", "95", "ORG", "Nasdaq" ], "tail": [ "124", "126", "PERSON", "Xavier Martinez" ] } ], [ { "head": [ "99", "100", "ORG", "APXI" ], "tail": [ "0", "4", "ORG", "APx Acquisition Corp. 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I" ] } ], [ { "head": [ "103", "104", "ORG", "APXIW" ], "tail": [ "62", "65", "MONEY", "$172.5 Million" ] } ], [ { "head": [ "103", "104", "ORG", "APXIW" ], "tail": [ "79", "82", "DATE", "December 9th 2021" ] } ], [ { "head": [ "103", "104", "ORG", "APXIW" ], "tail": [ "94", "95", "ORG", "Nasdaq" ] } ], [ { "head": [ "103", "104", "ORG", "APXIW" ], "tail": [ "99", "100", "ORG", "APXI" ] } ], [ { "head": [ "103", "104", "ORG", "APXIW" ], "tail": [ "109", "110", "ORG", "APx" ] } ], [ { "head": [ "103", "104", "ORG", "APXIW" ], "tail": [ "114", "116", "PERSON", "Daniel Braatz" ] } ], [ { "head": [ "103", "104", "ORG", "APXIW" ], "tail": [ "124", "126", "PERSON", "Xavier Martinez" ] } ], [ { "head": [ "109", "110", "ORG", "APx" ], "tail": [ "0", "4", "ORG", "APx Acquisition Corp. 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I" ] } ], [ { "head": [ "114", "116", "PERSON", "Daniel Braatz" ], "tail": [ "62", "65", "MONEY", "$172.5 Million" ] } ], [ { "head": [ "114", "116", "PERSON", "Daniel Braatz" ], "tail": [ "79", "82", "DATE", "December 9th 2021" ] } ], [ { "head": [ "114", "116", "PERSON", "Daniel Braatz" ], "tail": [ "94", "95", "ORG", "Nasdaq" ] } ], [ { "head": [ "114", "116", "PERSON", "Daniel Braatz" ], "tail": [ "99", "100", "ORG", "APXI" ] } ], [ { "head": [ "114", "116", "PERSON", "Daniel Braatz" ], "tail": [ "103", "104", "ORG", "APXIW" ] } ], [ { "head": [ "114", "116", "PERSON", "Daniel Braatz" ], "tail": [ "109", "110", "ORG", "APx" ] } ], [ { "head": [ "114", "116", "PERSON", "Daniel Braatz" ], "tail": [ "124", "126", "PERSON", "Xavier Martinez" ] } ], [ { "head": [ "124", "126", "PERSON", "Xavier Martinez" ], "tail": [ "0", "4", "ORG", "APx Acquisition Corp. I" ] } ], [ { "head": [ "124", "126", "PERSON", "Xavier Martinez" ], "tail": [ "33", "34", "CARDINAL", "one" ] } ], [ { "head": [ "124", "126", "PERSON", "Xavier Martinez" ], "tail": [ "51", "53", "NORP", "Latin American" ] } ], [ { "head": [ "124", "126", "PERSON", "Xavier Martinez" ], "tail": [ "56", "60", "ORG", "APx Acquisition Corp. I" ] } ], [ { "head": [ "124", "126", "PERSON", "Xavier Martinez" ], "tail": [ "62", "65", "MONEY", "$172.5 Million" ] } ], [ { "head": [ "124", "126", "PERSON", "Xavier Martinez" ], "tail": [ "79", "82", "DATE", "December 9th 2021" ] } ], [ { "head": [ "124", "126", "PERSON", "Xavier Martinez" ], "tail": [ "94", "95", "ORG", "Nasdaq" ] } ], [ { "head": [ "124", "126", "PERSON", "Xavier Martinez" ], "tail": [ "99", "100", "ORG", "APXI" ] } ], [ { "head": [ "124", "126", "PERSON", "Xavier Martinez" ], "tail": [ "103", "104", "ORG", "APXIW" ] } ], [ { "head": [ "124", "126", "PERSON", "Xavier Martinez" ], "tail": [ "109", "110", "ORG", "APx" ] } ], [ { "head": [ "124", "126", "PERSON", "Xavier Martinez" ], "tail": [ "114", "116", "PERSON", "Daniel Braatz" ] } ] ]
[ " INTENDS_TO_BUSINESS_COMBINE_WITH", " INTENDED_FOR", " SAME_ORG", " FINANCED_BY", " FINANCED_BY", " EXCHANGES\n\n Explanation:\n The text states that APx", " IS_LISTED_AS", " LISTED_AS", " IS_A\n\n Explanation:\n The text states that \"APx", " KEY_INDividual", " CHIEF_FINANCIAL_OFFICER", " IS_FORM_OF", " IS_FORM_OF", " LISTED_ON.", " IS_A\n\n Explanation:\n The text states that \"APx", " LISTED_ON.", " IS_A\n\n Explanation:\n The text states that \"APx", " KEY_INDividual", " CHIEF_FINANCIAL_OFFICER", " TARGET_OF_BUSINESS_COMBINATION", " TARGET_OF_BUSINESS_COMBINATION", " EXCHANGES\n\n Explanation:\n The text states that APx", " TARGET_OF_BUSINESS_COMBINATION", " TECH_COMPANY_IS_LISTED_AS_SECURITY", " TARGET_OF_BUSINESS_COMBINATION", " TECH_BUSINESS_WITH\n\n Explanation:\n The text", " TECH_BUSINESS_WITH", " SELF_REFERENCE", " INTENDS_TO_BUSINESS_COMBINE_WITH", " INTENDED_BUSINESS_COMBINATION", " RAISED_CAPITAL", " FINANCED_BY", " EXCHANGES\n\n Explanation:\n The text states that APx", " IS_LISTED_AS", " LISTED_AS", " PARENT_OF", " CEO", " CHIEF_FINANCIAL_OFFICER", " FINANCED_BY", " FINANCED_BY", " LISTED_ON", " FINANCED_BY", " FUNDING", " FINANCED_BY", " FINANCED_BY", " FINANCED_BY", " CLOSED_IPO", " CLOSED_IPO", " LISTED_ON", " FINANCED_BY", " LISTED_ON.", " FINANCED_BY", " CLOSED_BY", " WORKED_FOR", " LISTED_ON.", " LISTED_ON", " LISTED_ON.", " LISTED_ON.", " FUNDING", " LISTED_ON", " LISTED_ON", " LISTED_ON.", " LISTED_ON.", " LISTED_ON.", " LISTED_ON.", " IS_A\n\n Explanation:\n The text states that \"APx", " INTENDS_TO_BUSINESS_COMBINE_WITH", " INTENDED_BUSINESS_COMBINATION", " IS_A\n\n Explanation:\n The text states that \"APx", " FINANCED_BY", " CLOSED_ON", " EXCHANGES\n\n Explanation:\n The text states that \"The", " LISTED_AS", " IS_A\n\n Explanation:\n The text states that \"APx", " CEO.", " CHIEF_FINANCIAL_OFFICER", " LISTED_UNDER", " LIST_MEMBER", " INTENDED_FOR", " LISTED_AS", " FUNDING", " LISTED_ON.", " LISTED_ON", " LISTED_UNDER", " LISTED_AS", " ISSUED_BY", " LABEL_IS_LISTED_BY", " IS_A", " INTENDS_TO_MERGE_WITH", " INTENDED_BUSINESS_COMBINATION", " IS_A\n\n Or, if the entities are not in the same order as head", " FINANCED_BY", " CLOSED_ON", " LISTED_ON", " IS_A\n\n Explanation:\n The text states that \"APx", " LISTED_AS", " CEO.", " CHIEF_FINANCIAL_OFFICER", " KEY_INDividual", " KEY_INDividual.\n\n Entities: \n [{'head':", " INTENDS_TO_MERGE_WITH", " KEY_INDividual", " FINANCED_BY", " NO_RELATION", " EXCHANGE_LISTED_ON", " CHAIRMAN_OF\n\n Explanation:\n The text states that", " EMPLOYED_BY", " CHAIRMAN_OF\n\n Explanation:\n The text states that", " CHAIRMAN_OR_BOARD_MEMBER\n\n Explanation:", " CHIEF_FINANCIAL_OFFICER", " KEY_INDividual_OF\n\n Entities: \n [{'head", " KEY_INDividual_OF\n This relation indicates that Xavier Martinez is", " CHIEF_FINANCIAL_OFFICER", " FINANCED_BY", " FINANCED_BY", " EXCHANGES_WITH", " CHIEF_FINANCIAL_OFFICER", " IS_LISTED_AS", " CHIEF_FINANCIAL_OFFICER", " CHIEF_FINANCIAL_OFFICER_OF\n\n Explanation" ]
[ [ "0", "4", "ORG", "APx Acquisition Corp. I" ], [ "33", "34", "CARDINAL", "one" ], [ "51", "53", "NORP", "Latin American" ], [ "56", "60", "ORG", "APx Acquisition Corp. I" ], [ "62", "65", "MONEY", "$172.5 Million" ], [ "79", "82", "DATE", "December 9th 2021" ], [ "94", "95", "ORG", "Nasdaq" ], [ "99", "100", "ORG", "APXI" ], [ "103", "104", "ORG", "APXIW" ], [ "109", "110", "ORG", "APx" ], [ "114", "116", "PERSON", "Daniel Braatz" ], [ "124", "126", "PERSON", "Xavier Martinez" ] ]
686
688
[ "Birthdays are so special and beautiful. The celebrations are always sweeter when shared with others for a greater good.\nRhea, on her 12th birthday raised funds for caring family and friends. She donated some amount to Vedic school in Karimnagar, India to support preserving the most ancient knowledge, and Gosala (Cow Shed) in Hyderabad, India, to help saving the indigenous cows becoming extinct.\nYou can always do something great like this on every occasion. Please email us and we will celebrate your birthday along with you and share more happiness.\nEvery penny counts and Gift aid it mean that your donations are increased by 25% at no extra cost to you.\nThe more people get involved the better society we create. Together, we are always strong." ]
[ [ "Birthdays", "are", "so", "special", "and", "beautiful", ".", "The", "celebrations", "are", "always", "sweeter", "when", "shared", "with", "others", "for", "a", "greater", "good", ".", "\n", "Rhea", ",", "on", "her", "12th", "birthday", "raised", "funds", "for", "caring", "family", "and", "friends", ".", "She", "donated", "some", "amount", "to", "Vedic", "school", "in", "Karimnagar", ",", "India", "to", "support", "preserving", "the", "most", "ancient", "knowledge", ",", "and", "Gosala", "(", "Cow", "Shed", ")", "in", "Hyderabad", ",", "India", ",", "to", "help", "saving", "the", "indigenous", "cows", "becoming", "extinct", ".", "\n", "You", "can", "always", "do", "something", "great", "like", "this", "on", "every", "occasion", ".", "Please", "email", "us", "and", "we", "will", "celebrate", "your", "birthday", "along", "with", "you", "and", "share", "more", "happiness", ".", "\n", "Every", "penny", "counts", "and", "Gift", "aid", "it", "mean", "that", "your", "donations", "are", "increased", "by", "25", "%", "at", "no", "extra", "cost", "to", "you", ".", "\n", "The", "more", "people", "get", "involved", "the", "better", "society", "we", "create", ".", "Together", ",", "we", "are", "always", "strong", "." ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Birthdays are so special and beautiful. The celebrations are always sweeter when shared with others for a greater good.\nRhea, on her 12th birthday raised funds for caring family and friends. She donated some amount to Vedic school in Karimnagar, India to support preserving the most ancient knowledge, and Gosala (Cow Shed) in Hyderabad, India, to help saving the indigenous cows becoming extinct.\nYou can always do something great like this on every occasion. Please email us and we will celebrate your birthday along with you and share more happiness.\nEvery penny counts and Gift aid it mean that your donations are increased by 25% at no extra cost to you.\nThe more people get involved the better society we create. Together, we are always strong.'] Entities: [{'head': ['22', '23', 'PERSON', 'Rhea'], 'tail': ['26', '27', 'ORDINAL', '12th']}] Relation:
[ [ { "head": [ "22", "23", "PERSON", "Rhea" ], "tail": [ "26", "27", "ORDINAL", "12th" ] } ], [ { "head": [ "22", "23", "PERSON", "Rhea" ], "tail": [ "41", "43", "ORG", "Vedic school" ] } ], [ { "head": [ "22", "23", "PERSON", "Rhea" ], "tail": [ "44", "45", "GPE", "Karimnagar" ] } ], [ { "head": [ "22", "23", "PERSON", "Rhea" ], "tail": [ "46", "47", "GPE", "India" ] } ], [ { "head": [ "22", "23", "PERSON", "Rhea" ], "tail": [ "56", "57", "ORG", "Gosala" ] } ], [ { "head": [ "22", "23", "PERSON", "Rhea" ], "tail": [ "62", "63", "GPE", "Hyderabad" ] } ], [ { "head": [ "22", "23", "PERSON", "Rhea" ], "tail": [ "64", "65", "GPE", "India" ] } ], [ { "head": [ "22", "23", "PERSON", "Rhea" ], "tail": [ "120", "122", "PERCENT", "25%" ] } ], [ { "head": [ "26", "27", "ORDINAL", "12th" ], "tail": [ "22", "23", "PERSON", "Rhea" ] } ], [ { "head": [ "26", "27", "ORDINAL", "12th" ], "tail": [ "41", "43", "ORG", "Vedic school" ] } ], [ { "head": [ "26", "27", "ORDINAL", "12th" ], "tail": [ "44", "45", "GPE", "Karimnagar" ] } ], [ { "head": [ "26", "27", "ORDINAL", "12th" ], "tail": [ "46", "47", "GPE", "India" ] } ], [ { "head": [ "26", "27", "ORDINAL", "12th" ], "tail": [ "56", "57", "ORG", "Gosala" ] } ], [ { "head": [ "26", "27", "ORDINAL", "12th" ], "tail": [ "62", "63", "GPE", "Hyderabad" ] } ], [ { "head": [ "26", "27", "ORDINAL", "12th" ], "tail": [ "64", "65", "GPE", "India" ] } ], [ { "head": [ "41", "43", "ORG", "Vedic school" ], "tail": [ "22", "23", "PERSON", "Rhea" ] } ], [ { "head": [ "41", "43", "ORG", "Vedic school" ], "tail": [ "26", "27", "ORDINAL", "12th" ] } ], [ { "head": [ "41", "43", "ORG", "Vedic school" ], "tail": [ "44", "45", "GPE", "Karimnagar" ] } ], [ { "head": [ "41", "43", "ORG", "Vedic school" ], "tail": [ "46", "47", "GPE", "India" ] } ], [ { "head": [ "41", "43", "ORG", "Vedic school" ], "tail": [ "56", "57", "ORG", "Gosala" ] } ], [ { "head": [ "41", "43", "ORG", "Vedic school" ], "tail": [ "62", "63", "GPE", "Hyderabad" ] } ], [ { "head": [ "41", "43", "ORG", "Vedic school" ], "tail": [ "64", "65", "GPE", "India" ] } ], [ { "head": [ "41", "43", "ORG", "Vedic school" ], "tail": [ "120", "122", "PERCENT", "25%" ] } ], [ { "head": [ "44", "45", "GPE", "Karimnagar" ], "tail": [ "22", "23", "PERSON", "Rhea" ] } ], [ { "head": [ "44", "45", "GPE", "Karimnagar" ], "tail": [ "26", "27", "ORDINAL", "12th" ] } ], [ { "head": [ "44", "45", "GPE", "Karimnagar" ], "tail": [ "41", "43", "ORG", "Vedic school" ] } ], [ { "head": [ "44", "45", "GPE", "Karimnagar" ], "tail": [ "46", "47", "GPE", "India" ] } ], [ { "head": [ "44", "45", "GPE", "Karimnagar" ], "tail": [ "56", "57", "ORG", "Gosala" ] } ], [ { "head": [ "44", "45", "GPE", "Karimnagar" ], "tail": [ "62", "63", "GPE", "Hyderabad" ] } ], [ { "head": [ "44", "45", "GPE", "Karimnagar" ], "tail": [ "64", "65", "GPE", "India" ] } ], [ { "head": [ "44", "45", "GPE", "Karimnagar" ], "tail": [ "120", "122", "PERCENT", "25%" ] } ], [ { "head": [ "46", "47", "GPE", "India" ], "tail": [ "22", "23", "PERSON", "Rhea" ] } ], [ { "head": [ "46", "47", "GPE", "India" ], "tail": [ "26", "27", "ORDINAL", "12th" ] } ], [ { "head": [ "46", "47", "GPE", "India" ], "tail": [ "41", "43", "ORG", "Vedic school" ] } ], [ { "head": [ "46", "47", "GPE", "India" ], "tail": [ "44", "45", "GPE", "Karimnagar" ] } ], [ { "head": [ "46", "47", "GPE", "India" ], "tail": [ "56", "57", "ORG", "Gosala" ] } ], [ { "head": [ "46", "47", "GPE", "India" ], "tail": [ "62", "63", "GPE", "Hyderabad" ] } ], [ { "head": [ "46", "47", "GPE", "India" ], "tail": [ "64", "65", "GPE", "India" ] } ], [ { "head": [ "46", "47", "GPE", "India" ], "tail": [ "120", "122", "PERCENT", "25%" ] } ], [ { "head": [ "56", "57", "ORG", "Gosala" ], "tail": [ "22", "23", "PERSON", "Rhea" ] } ], [ { "head": [ "56", "57", "ORG", "Gosala" ], "tail": [ "26", "27", "ORDINAL", "12th" ] } ], [ { "head": [ "56", "57", "ORG", "Gosala" ], "tail": [ "41", "43", "ORG", "Vedic school" ] } ], [ { "head": [ "56", "57", "ORG", "Gosala" ], "tail": [ "44", "45", "GPE", "Karimnagar" ] } ], [ { "head": [ "56", "57", "ORG", "Gosala" ], "tail": [ "46", "47", "GPE", "India" ] } ], [ { "head": [ "56", "57", "ORG", "Gosala" ], "tail": [ "62", "63", "GPE", "Hyderabad" ] } ], [ { "head": [ "56", "57", "ORG", "Gosala" ], "tail": [ "64", "65", "GPE", "India" ] } ], [ { "head": [ "56", "57", "ORG", "Gosala" ], "tail": [ "120", "122", "PERCENT", "25%" ] } ], [ { "head": [ "62", "63", "GPE", "Hyderabad" ], "tail": [ "22", "23", "PERSON", "Rhea" ] } ], [ { "head": [ "62", "63", "GPE", "Hyderabad" ], "tail": [ "26", "27", "ORDINAL", "12th" ] } ], [ { "head": [ "62", "63", "GPE", "Hyderabad" ], "tail": [ "41", "43", "ORG", "Vedic school" ] } ], [ { "head": [ "62", "63", "GPE", "Hyderabad" ], "tail": [ "44", "45", "GPE", "Karimnagar" ] } ], [ { "head": [ "62", "63", "GPE", "Hyderabad" ], "tail": [ "46", "47", "GPE", "India" ] } ], [ { "head": [ "62", "63", "GPE", "Hyderabad" ], "tail": [ "56", "57", "ORG", "Gosala" ] } ], [ { "head": [ "62", "63", "GPE", "Hyderabad" ], "tail": [ "64", "65", "GPE", "India" ] } ], [ { "head": [ "62", "63", "GPE", "Hyderabad" ], "tail": [ "120", "122", "PERCENT", "25%" ] } ], [ { "head": [ "64", "65", "GPE", "India" ], "tail": [ "22", "23", "PERSON", "Rhea" ] } ], [ { "head": [ "64", "65", "GPE", "India" ], "tail": [ "26", "27", "ORDINAL", "12th" ] } ], [ { "head": [ "64", "65", "GPE", "India" ], "tail": [ "41", "43", "ORG", "Vedic school" ] } ], [ { "head": [ "64", "65", "GPE", "India" ], "tail": [ "44", "45", "GPE", "Karimnagar" ] } ], [ { "head": [ "64", "65", "GPE", "India" ], "tail": [ "46", "47", "GPE", "India" ] } ], [ { "head": [ "64", "65", "GPE", "India" ], "tail": [ "56", "57", "ORG", "Gosala" ] } ], [ { "head": [ "64", "65", "GPE", "India" ], "tail": [ "62", "63", "GPE", "Hyderabad" ] } ], [ { "head": [ "64", "65", "GPE", "India" ], "tail": [ "120", "122", "PERCENT", "25%" ] } ], [ { "head": [ "120", "122", "PERCENT", "25%" ], "tail": [ "22", "23", "PERSON", "Rhea" ] } ], [ { "head": [ "120", "122", "PERCENT", "25%" ], "tail": [ "41", "43", "ORG", "Vedic school" ] } ], [ { "head": [ "120", "122", "PERCENT", "25%" ], "tail": [ "44", "45", "GPE", "Karimnagar" ] } ], [ { "head": [ "120", "122", "PERCENT", "25%" ], "tail": [ "46", "47", "GPE", "India" ] } ], [ { "head": [ "120", "122", "PERCENT", "25%" ], "tail": [ "56", "57", "ORG", "Gosala" ] } ], [ { "head": [ "120", "122", "PERCENT", "25%" ], "tail": [ "62", "63", "GPE", "Hyderabad" ] } ], [ { "head": [ "120", "122", "PERCENT", "25%" ], "tail": [ "64", "65", "GPE", "India" ] } ] ]
[ " HAD_BIRTHDAY", " DONATED_TO", " DONATED_TO", " DONATED_TO", " DONATED_TO", " HELPED_LOCATION", " DONATED_TO", " INCREASES_BY", " HAS_BIRTHDAY", " DONATED_TO", " DONATED_TO", " FUNDRAISING_FOR\n\n Entities: \n [{'head':", " DONATED_TO", " DONATED_TO", " FUNDING.", " DONATED_TO", " DONATED_TO", " SUPPORTS_LOCATION", " SUPPORTS", " SUPPORTS", " SUPPORTS_LOCATION", " SUPPORTS", " INCREASES\n\n Explanation:\n The text mentions that don", " DONATED_TO", " SUPPORTED_BY", " SUPPORTS", " LOCATION_IN\n\n Entities: \n [{'head': ['", " SUPPORTS", " SUPPORTS", " LOCATION_IN\n\n Entities: \n [{'head': ['", " INCREASES\n\n Explanation:\n The text mentions that don", " DONATED_TO", " BIRTHPLACE_OF\n\n Explanation:\n The text ment", " SUPPORTS", " LOCATION_IN\n\n Entities: \n [{'head': ['", " SUPPORTS", " LOCATION_IN\n\n Explanation:\n The text mentions that", " LOCATION_IN\n\n Explanation:\n The text mentions that", " INCREASES\n\n Explanation:\n The text mentions that don", " DONATED_TO", " SUPPORTED_BY", " SUPPORTS", " SUPPORTS\n\n Entities: \n [{'head': ['4", " HELPS_LOCATION", " HELPS_LOCATION", " HELPS_LOCATION", " INCREASES\n\n Explanation:\n The text mentions that don", " HELPED_LOCATION", " HELD_EVENT_IN", " SUPPORTS", " SUPPORTS", " LOCATION_IN\n\n Explanation:\n The text mentions that", " LOCATION_OF\n\n Explanation:\n The text mentions that", " LOCATION_IN\n\n Explanation:\n The text mentions that", " INCREASES\n\n Explanation:\n The text mentions that don", " DONATED_TO", " BIRTHPLACE_OF\n\n Explanation:\n The text ment", " SUPPORTS", " LOCATION_IN\n\n Entities: \n [{'head': ['", " LOCATION_IN\n\n Explanation:\n The text mentions that", " SUPPORTS", " LOCATION_IN\n\n Explanation:\n In the text, it", " INCREASES\n\n Explanation:\n The text mentions that don", " DONATED_TO", " DONATION", " DONATION_TO\n\n Entities: \n [{'head': ['", " INCREASES_SUPPORT_FOR", " DONATION", " INCREASES\n\n Explanation:\n The text mentions that don", " INCREASES_SUPPORT_FOR" ]
[ [ "22", "23", "PERSON", "Rhea" ], [ "26", "27", "ORDINAL", "12th" ], [ "41", "43", "ORG", "Vedic school" ], [ "44", "45", "GPE", "Karimnagar" ], [ "46", "47", "GPE", "India" ], [ "56", "57", "ORG", "Gosala" ], [ "62", "63", "GPE", "Hyderabad" ], [ "64", "65", "GPE", "India" ], [ "120", "122", "PERCENT", "25%" ] ]
687
689
[ "Why wonder or worry about the future?\nWith all thats transpiring in the world, people cant help but wonder what the future holds. Will there ever be peace on earth? How long will the world live under the threat of terrorism? Is a one-world ruler on the horizon?\nGod has already provided answers to these questions in the book of Daniel, which sets forth His blueprints for the future. In fact, when you understand the prophecies Daniel reveals, every other prophecy in the Bible will fit somewhere in the plan. If you want to understand the future, if you want to know what will happen [ … ]" ]
[ [ "Why", "wonder", "or", "worry", "about", "the", "future", "?", "\n", "With", "all", "that", "s", "transpiring", "in", "the", "world", ",", "people", "ca", "nt", "help", "but", "wonder", "what", "the", "future", "holds", ".", "Will", "there", "ever", "be", "peace", "on", "earth", "?", "How", "long", "will", "the", "world", "live", "under", "the", "threat", "of", "terrorism", "?", "Is", "a", "one", "-", "world", "ruler", "on", "the", "horizon", "?", "\n", "God", "has", "already", "provided", "answers", "to", "these", "questions", "in", "the", "book", "of", "Daniel", ",", "which", "sets", "forth", "His", "blueprints", "for", "the", "future", ".", "In", "fact", ",", "when", "you", "understand", "the", "prophecies", "Daniel", "reveals", ",", "every", "other", "prophecy", "in", "the", "Bible", "will", "fit", "somewhere", "in", "the", "plan", ".", "If", "you", "want", "to", "understand", "the", "future", ",", "if", "you", "want", "to", "know", "what", "will", "happen", "[", "…", "]" ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Why wonder or worry about the future?\nWith all thats transpiring in the world, people cant help but wonder what the future holds. Will there ever be peace on earth? How long will the world live under the threat of terrorism? Is a one-world ruler on the horizon?\nGod has already provided answers to these questions in the book of Daniel, which sets forth His blueprints for the future. In fact, when you understand the prophecies Daniel reveals, every other prophecy in the Bible will fit somewhere in the plan. If you want to understand the future, if you want to know what will happen [ … ]'] Entities: [{'head': ['51', '52', 'CARDINAL', 'one'], 'tail': ['72', '73', 'PERSON', 'Daniel']}] Relation:
[ [ { "head": [ "51", "52", "CARDINAL", "one" ], "tail": [ "72", "73", "PERSON", "Daniel" ] } ], [ { "head": [ "51", "52", "CARDINAL", "one" ], "tail": [ "91", "92", "PERSON", "Daniel" ] } ], [ { "head": [ "72", "73", "PERSON", "Daniel" ], "tail": [ "51", "52", "CARDINAL", "one" ] } ], [ { "head": [ "72", "73", "PERSON", "Daniel" ], "tail": [ "91", "92", "PERSON", "Daniel" ] } ], [ { "head": [ "72", "73", "PERSON", "Daniel" ], "tail": [ "99", "100", "WORK_OF_ART", "Bible" ] } ], [ { "head": [ "91", "92", "PERSON", "Daniel" ], "tail": [ "51", "52", "CARDINAL", "one" ] } ], [ { "head": [ "91", "92", "PERSON", "Daniel" ], "tail": [ "72", "73", "PERSON", "Daniel" ] } ], [ { "head": [ "91", "92", "PERSON", "Daniel" ], "tail": [ "99", "100", "WORK_OF_ART", "Bible" ] } ], [ { "head": [ "99", "100", "WORK_OF_ART", "Bible" ], "tail": [ "72", "73", "PERSON", "Daniel" ] } ], [ { "head": [ "99", "100", "WORK_OF_ART", "Bible" ], "tail": [ "91", "92", "PERSON", "Daniel" ] } ] ]
[ " REVEALS", " REVEALS", " REVEALS_PLAN_FOR", " SELF_REFERENCE", " REVEALS", " REVEALS_PLAN_FOR", " SELF_REFERENCE", " REVEALS", " REVEALS", " REVEALS" ]
[ [ "51", "52", "CARDINAL", "one" ], [ "72", "73", "PERSON", "Daniel" ], [ "91", "92", "PERSON", "Daniel" ], [ "99", "100", "WORK_OF_ART", "Bible" ] ]
688
690
[ "This week we venture out of Doctor Who (just a little bit), and into the Sarah Jane Adventures. Fear not, the Doctor comes along on this adventure, as well as Classic Who Companion, Jo Grant. It's a great blend of Classic and New Who this week.\nBe sure to rate us on iTunes, Stitcher, Podbean, Google Play and Spotify!\nWe want to hear from you! Find us at your favorite social media outlets:\nOr email us at email@example.com\nSpecial Thanks to the Jackpot Golden Boys for our theme. Find more of their great work on Youtube - https://www.youtube.com/user/jackpot\nOr on their website - http://www.jackpotgoldenboys.com" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ["This week we venture out of Doctor Who (just a little bit), and into the Sarah Jane Adventures. Fear not, the Doctor comes along on this adventure, as well as Classic Who Companion, Jo Grant. It's a great blend of Classic and New Who this week.\nBe sure to rate us on iTunes, Stitcher, Podbean, Google Play and Spotify!\nWe want to hear from you! Find us at your favorite social media outlets:\nOr email us at email@example.com\nSpecial Thanks to the Jackpot Golden Boys for our theme. Find more of their great work on Youtube - https://www.youtube.com/user/jackpot\nOr on their website - http://www.jackpotgoldenboys.com"] Entities: [{'head': ['0', '2', 'DATE', 'This week'], 'tail': ['18', '20', 'PERSON', 'Sarah Jane']}] Relation:
[ [ { "head": [ "0", "2", "DATE", "This week" ], "tail": [ "18", "20", "PERSON", "Sarah Jane" ] } ], [ { "head": [ "0", "2", "DATE", "This week" ], "tail": [ "40", "42", "PERSON", "Jo Grant" ] } ], [ { "head": [ "0", "2", "DATE", "This week" ], "tail": [ "63", "64", "ORG", "iTunes" ] } ], [ { "head": [ "0", "2", "DATE", "This week" ], "tail": [ "69", "71", "ORG", "Google Play" ] } ], [ { "head": [ "6", "8", "WORK_OF_ART", "Doctor Who" ], "tail": [ "18", "20", "PERSON", "Sarah Jane" ] } ], [ { "head": [ "6", "8", "WORK_OF_ART", "Doctor Who" ], "tail": [ "40", "42", "PERSON", "Jo Grant" ] } ], [ { "head": [ "6", "8", "WORK_OF_ART", "Doctor Who" ], "tail": [ "63", "64", "ORG", "iTunes" ] } ], [ { "head": [ "6", "8", "WORK_OF_ART", "Doctor Who" ], "tail": [ "69", "71", "ORG", "Google Play" ] } ], [ { "head": [ "18", "20", "PERSON", "Sarah Jane" ], "tail": [ "0", "2", "DATE", "This week" ] } ], [ { "head": [ "18", "20", "PERSON", "Sarah Jane" ], "tail": [ "6", "8", "WORK_OF_ART", "Doctor Who" ] } ], [ { "head": [ "18", "20", "PERSON", "Sarah Jane" ], "tail": [ "36", "39", "PRODUCT", "Classic Who Companion" ] } ], [ { "head": [ "18", "20", "PERSON", "Sarah Jane" ], "tail": [ "40", "42", "PERSON", "Jo Grant" ] } ], [ { "head": [ "18", "20", "PERSON", "Sarah Jane" ], "tail": [ "53", "55", "DATE", "this week" ] } ], [ { "head": [ "18", "20", "PERSON", "Sarah Jane" ], "tail": [ "63", "64", "ORG", "iTunes" ] } ], [ { "head": [ "18", "20", "PERSON", "Sarah Jane" ], "tail": [ "65", "66", "PRODUCT", "Stitcher" ] } ], [ { "head": [ "18", "20", "PERSON", "Sarah Jane" ], "tail": [ "67", "68", "PRODUCT", "Podbean" ] } ], [ { "head": [ "18", "20", "PERSON", "Sarah Jane" ], "tail": [ "69", "71", "ORG", "Google Play" ] } ], [ { "head": [ "18", "20", "PERSON", "Sarah Jane" ], "tail": [ "72", "73", "PRODUCT", "Spotify" ] } ], [ { "head": [ "36", "39", "PRODUCT", "Classic Who Companion" ], "tail": [ "18", "20", "PERSON", "Sarah Jane" ] } ], [ { "head": [ "36", "39", "PRODUCT", "Classic Who Companion" ], "tail": [ "40", "42", "PERSON", "Jo Grant" ] } ], [ { "head": [ "36", "39", "PRODUCT", "Classic Who Companion" ], "tail": [ "63", "64", "ORG", "iTunes" ] } ], [ { "head": [ "36", "39", "PRODUCT", "Classic Who Companion" ], "tail": [ "69", "71", "ORG", "Google Play" ] } ], [ { "head": [ "40", "42", "PERSON", "Jo Grant" ], "tail": [ "0", "2", "DATE", "This week" ] } ], [ { "head": [ "40", "42", "PERSON", "Jo Grant" ], "tail": [ "6", "8", "WORK_OF_ART", "Doctor Who" ] } ], [ { "head": [ "40", "42", "PERSON", "Jo Grant" ], "tail": [ "18", "20", "PERSON", "Sarah Jane" ] } ], [ { "head": [ "40", "42", "PERSON", "Jo Grant" ], "tail": [ "36", "39", "PRODUCT", "Classic Who Companion" ] } ], [ { "head": [ "40", "42", "PERSON", "Jo Grant" ], "tail": [ "53", "55", "DATE", "this week" ] } ], [ { "head": [ "40", "42", "PERSON", "Jo Grant" ], "tail": [ "63", "64", "ORG", "iTunes" ] } ], [ { "head": [ "40", "42", "PERSON", "Jo Grant" ], "tail": [ "65", "66", "PRODUCT", "Stitcher" ] } ], [ { "head": [ "40", "42", "PERSON", "Jo Grant" ], "tail": [ "67", "68", "PRODUCT", "Podbean" ] } ], [ { "head": [ "40", "42", "PERSON", "Jo Grant" ], "tail": [ "69", "71", "ORG", "Google Play" ] } ], [ { "head": [ "40", "42", "PERSON", "Jo Grant" ], "tail": [ "72", "73", "PRODUCT", "Spotify" ] } ], [ { "head": [ "53", "55", "DATE", "this week" ], "tail": [ "18", "20", "PERSON", "Sarah Jane" ] } ], [ { "head": [ "53", "55", "DATE", "this week" ], "tail": [ "40", "42", "PERSON", "Jo Grant" ] } ], [ { "head": [ "53", "55", "DATE", "this week" ], "tail": [ "63", "64", "ORG", "iTunes" ] } ], [ { "head": [ "53", "55", "DATE", "this week" ], "tail": [ "69", "71", "ORG", "Google Play" ] } ], [ { "head": [ "63", "64", "ORG", "iTunes" ], "tail": [ "0", "2", "DATE", "This week" ] } ], [ { "head": [ "63", "64", "ORG", "iTunes" ], "tail": [ "6", "8", "WORK_OF_ART", "Doctor Who" ] } ], [ { "head": [ "63", "64", "ORG", "iTunes" ], "tail": [ "18", "20", "PERSON", "Sarah Jane" ] } ], [ { "head": [ "63", "64", "ORG", "iTunes" ], "tail": [ "36", "39", "PRODUCT", "Classic Who Companion" ] } ], [ { "head": [ "63", "64", "ORG", "iTunes" ], "tail": [ "40", "42", "PERSON", "Jo Grant" ] } ], [ { "head": [ "63", "64", "ORG", "iTunes" ], "tail": [ "53", "55", "DATE", "this week" ] } ], [ { "head": [ "63", "64", "ORG", "iTunes" ], "tail": [ "65", "66", "PRODUCT", "Stitcher" ] } ], [ { "head": [ "63", "64", "ORG", "iTunes" ], "tail": [ "67", "68", "PRODUCT", "Podbean" ] } ], [ { "head": [ "63", "64", "ORG", "iTunes" ], "tail": [ "69", "71", "ORG", "Google Play" ] } ], [ { "head": [ "63", "64", "ORG", "iTunes" ], "tail": [ "72", "73", "PRODUCT", "Spotify" ] } ], [ { "head": [ "65", "66", "PRODUCT", "Stitcher" ], "tail": [ "18", "20", "PERSON", "Sarah Jane" ] } ], [ { "head": [ "65", "66", "PRODUCT", "Stitcher" ], "tail": [ "40", "42", "PERSON", "Jo Grant" ] } ], [ { "head": [ "65", "66", "PRODUCT", "Stitcher" ], "tail": [ "63", "64", "ORG", "iTunes" ] } ], [ { "head": [ "65", "66", "PRODUCT", "Stitcher" ], "tail": [ "69", "71", "ORG", "Google Play" ] } ], [ { "head": [ "67", "68", "PRODUCT", "Podbean" ], "tail": [ "18", "20", "PERSON", "Sarah Jane" ] } ], [ { "head": [ "67", "68", "PRODUCT", "Podbean" ], "tail": [ "40", "42", "PERSON", "Jo Grant" ] } ], [ { "head": [ "67", "68", "PRODUCT", "Podbean" ], "tail": [ "63", "64", "ORG", "iTunes" ] } ], [ { "head": [ "67", "68", "PRODUCT", "Podbean" ], "tail": [ "69", "71", "ORG", "Google Play" ] } ], [ { "head": [ "69", "71", "ORG", "Google Play" ], "tail": [ "0", "2", "DATE", "This week" ] } ], [ { "head": [ "69", "71", "ORG", "Google Play" ], "tail": [ "6", "8", "WORK_OF_ART", "Doctor Who" ] } ], [ { "head": [ "69", "71", "ORG", "Google Play" ], "tail": [ "18", "20", "PERSON", "Sarah Jane" ] } ], [ { "head": [ "69", "71", "ORG", "Google Play" ], "tail": [ "36", "39", "PRODUCT", "Classic Who Companion" ] } ], [ { "head": [ "69", "71", "ORG", "Google Play" ], "tail": [ "40", "42", "PERSON", "Jo Grant" ] } ], [ { "head": [ "69", "71", "ORG", "Google Play" ], "tail": [ "53", "55", "DATE", "this week" ] } ], [ { "head": [ "69", "71", "ORG", "Google Play" ], "tail": [ "63", "64", "ORG", "iTunes" ] } ], [ { "head": [ "69", "71", "ORG", "Google Play" ], "tail": [ "65", "66", "PRODUCT", "Stitcher" ] } ], [ { "head": [ "69", "71", "ORG", "Google Play" ], "tail": [ "67", "68", "PRODUCT", "Podbean" ] } ], [ { "head": [ "69", "71", "ORG", "Google Play" ], "tail": [ "72", "73", "PRODUCT", "Spotify" ] } ], [ { "head": [ "72", "73", "PRODUCT", "Spotify" ], "tail": [ "18", "20", "PERSON", "Sarah Jane" ] } ], [ { "head": [ "72", "73", "PRODUCT", "Spotify" ], "tail": [ "40", "42", "PERSON", "Jo Grant" ] } ], [ { "head": [ "72", "73", "PRODUCT", "Spotify" ], "tail": [ "63", "64", "ORG", "iTunes" ] } ], [ { "head": [ "72", "73", "PRODUCT", "Spotify" ], "tail": [ "69", "71", "ORG", "Google Play" ] } ] ]
[ " ADVENTURE_WITH", " APPEARS_IN", " MENTIONED_IN.", " MENTIONED_IN.", " SUBJECT_OF\n\n Explanation:\n The text states that \"S", " COMPANION", " MENTIONED_IN.", " MENTIONED_IN.", " TIME_PERIOD_OF\n or\n EVENT_OCCURRED_", " SUBJECT_OF\n\n Explanation:\n The text mentions that \"", " COMPANION_OF", " COMPANION_OF", " OCCURRED_IN", " RATES_AT\n\n Or, if the entities were reversed:\n\n", " MENTIONED_IN.", " MENTIONED_IN.", " MENTIONED_IN.", " MENTIONED_IN.", " COMPANION_OF", " COMPANION_OF", " REVIEWS", " MENTIONED_IN.", " OCCURRED_IN", " APPEARS_IN", " COMPANION_OF", " COMPANION_OF", " ACCOMPANIES\n\n Explanation:\n The text states that \"Jo", " RATES_AT\n\n Explanation:\n The text mentions that", " MENTIONED_IN.", " MENTIONED_IN.", " MENTIONED_IN.", " MENTIONED_IN.", " ADVENTURE_WITH", " APPEARS_IN", " RECOMMENDATION", " MENTIONED_IN.", " TIME_IN_EVENT", " RECOMMENDED_FOR.", " REVIEWER_OF", " REVIEWS", " MENTIONED_IN.", " MENTIONED_IN_CONTEXT", " MENTIONED_IN.", " ALTERNATE_PRODUCT", " ALTERNATE_NAMES_OR_SYNONYMS_OF_PRODUCT_", " ALTERNATIVE_PRODUCT", " PROVIDES_PLATFORM", " PROVIDES_SERVICE", " MENTIONED_IN.", " ALTERNATE_PRODUCT", " MENTIONED_IN.", " PROVIDES_SERVICE", " MENTIONED_IN.", " ALTERNATIVE_PRODUCT", " TIME_PERIOD_OF\n\n Explanation:\n The text ment", " MENTIONED_IN.", " MENTIONED_IN.", " PROVIDES\n\n Explanation:\n The text mentions that the listener can", " MENTIONED_IN.", " EVENT_MENTIONED_IN_DATE_RANGE", " DIFFERENT_FROM", " MENTIONED_IN.", " ALTERNATIVE_PRODUCT", " ALTERNATIVE_PRODUCT", " MENTIONED_IN.", " MENTIONED_IN.", " MENTIONED_IN.", " ALTERNATE_PRODUCT" ]
[ [ "0", "2", "DATE", "This week" ], [ "6", "8", "WORK_OF_ART", "Doctor Who" ], [ "18", "20", "PERSON", "Sarah Jane" ], [ "36", "39", "PRODUCT", "Classic Who Companion" ], [ "40", "42", "PERSON", "Jo Grant" ], [ "53", "55", "DATE", "this week" ], [ "63", "64", "ORG", "iTunes" ], [ "65", "66", "PRODUCT", "Stitcher" ], [ "67", "68", "PRODUCT", "Podbean" ], [ "69", "71", "ORG", "Google Play" ], [ "72", "73", "PRODUCT", "Spotify" ] ]
689
691
[ "Revision as of 18:58, 25 January 2016 by Jane\n| This article or section is a stub. This means it lacks key information or is not complete yet.\nYou can help by adding to it. Click here to see some more stubs to work on.\n|Member in Year(s)\nJignesh is a nice guy.\nJignesh was manipulator driver in 2009.\nFavorite Robotics Quote\nFavorite Robotics Moment\n- Being called \"Jig Nesh\" in a newspaper at the Peachtree Regional." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Revision as of 18:58, 25 January 2016 by Jane\n| This article or section is a stub. This means it lacks key information or is not complete yet.\nYou can help by adding to it. Click here to see some more stubs to work on.\n|Member in Year(s)\nJignesh is a nice guy.\nJignesh was manipulator driver in 2009.\nFavorite Robotics Quote\nFavorite Robotics Moment\n- Being called "Jig Nesh" in a newspaper at the Peachtree Regional.'] Entities: [{'head': ['3', '8', 'TIME', '18:58, 25 January 2016'], 'tail': ['9', '10', 'PERSON', 'Jane']}] Relation:
[ [ { "head": [ "3", "8", "TIME", "18:58, 25 January 2016" ], "tail": [ "9", "10", "PERSON", "Jane" ] } ], [ { "head": [ "3", "8", "TIME", "18:58, 25 January 2016" ], "tail": [ "58", "59", "PERSON", "Jignesh" ] } ], [ { "head": [ "3", "8", "TIME", "18:58, 25 January 2016" ], "tail": [ "65", "66", "PERSON", "Jignesh" ] } ], [ { "head": [ "3", "8", "TIME", "18:58, 25 January 2016" ], "tail": [ "85", "87", "PERSON", "Jig Nesh" ] } ], [ { "head": [ "3", "8", "TIME", "18:58, 25 January 2016" ], "tail": [ "92", "95", "ORG", "the Peachtree Regional" ] } ], [ { "head": [ "9", "10", "PERSON", "Jane" ], "tail": [ "3", "8", "TIME", "18:58, 25 January 2016" ] } ], [ { "head": [ "9", "10", "PERSON", "Jane" ], "tail": [ "58", "59", "PERSON", "Jignesh" ] } ], [ { "head": [ "9", "10", "PERSON", "Jane" ], "tail": [ "65", "66", "PERSON", "Jignesh" ] } ], [ { "head": [ "9", "10", "PERSON", "Jane" ], "tail": [ "70", "71", "DATE", "2009" ] } ], [ { "head": [ "9", "10", "PERSON", "Jane" ], "tail": [ "85", "87", "PERSON", "Jig Nesh" ] } ], [ { "head": [ "9", "10", "PERSON", "Jane" ], "tail": [ "92", "95", "ORG", "the Peachtree Regional" ] } ], [ { "head": [ "58", "59", "PERSON", "Jignesh" ], "tail": [ "3", "8", "TIME", "18:58, 25 January 2016" ] } ], [ { "head": [ "58", "59", "PERSON", "Jignesh" ], "tail": [ "9", "10", "PERSON", "Jane" ] } ], [ { "head": [ "58", "59", "PERSON", "Jignesh" ], "tail": [ "65", "66", "PERSON", "Jignesh" ] } ], [ { "head": [ "58", "59", "PERSON", "Jignesh" ], "tail": [ "70", "71", "DATE", "2009" ] } ], [ { "head": [ "58", "59", "PERSON", "Jignesh" ], "tail": [ "85", "87", "PERSON", "Jig Nesh" ] } ], [ { "head": [ "58", "59", "PERSON", "Jignesh" ], "tail": [ "92", "95", "ORG", "the Peachtree Regional" ] } ], [ { "head": [ "65", "66", "PERSON", "Jignesh" ], "tail": [ "3", "8", "TIME", "18:58, 25 January 2016" ] } ], [ { "head": [ "65", "66", "PERSON", "Jignesh" ], "tail": [ "9", "10", "PERSON", "Jane" ] } ], [ { "head": [ "65", "66", "PERSON", "Jignesh" ], "tail": [ "58", "59", "PERSON", "Jignesh" ] } ], [ { "head": [ "65", "66", "PERSON", "Jignesh" ], "tail": [ "70", "71", "DATE", "2009" ] } ], [ { "head": [ "65", "66", "PERSON", "Jignesh" ], "tail": [ "85", "87", "PERSON", "Jig Nesh" ] } ], [ { "head": [ "65", "66", "PERSON", "Jignesh" ], "tail": [ "92", "95", "ORG", "the Peachtree Regional" ] } ], [ { "head": [ "70", "71", "DATE", "2009" ], "tail": [ "9", "10", "PERSON", "Jane" ] } ], [ { "head": [ "70", "71", "DATE", "2009" ], "tail": [ "58", "59", "PERSON", "Jignesh" ] } ], [ { "head": [ "70", "71", "DATE", "2009" ], "tail": [ "65", "66", "PERSON", "Jignesh" ] } ], [ { "head": [ "70", "71", "DATE", "2009" ], "tail": [ "85", "87", "PERSON", "Jig Nesh" ] } ], [ { "head": [ "70", "71", "DATE", "2009" ], "tail": [ "92", "95", "ORG", "the Peachtree Regional" ] } ], [ { "head": [ "85", "87", "PERSON", "Jig Nesh" ], "tail": [ "3", "8", "TIME", "18:58, 25 January 2016" ] } ], [ { "head": [ "85", "87", "PERSON", "Jig Nesh" ], "tail": [ "9", "10", "PERSON", "Jane" ] } ], [ { "head": [ "85", "87", "PERSON", "Jig Nesh" ], "tail": [ "58", "59", "PERSON", "Jignesh" ] } ], [ { "head": [ "85", "87", "PERSON", "Jig Nesh" ], "tail": [ "65", "66", "PERSON", "Jignesh" ] } ], [ { "head": [ "85", "87", "PERSON", "Jig Nesh" ], "tail": [ "70", "71", "DATE", "2009" ] } ], [ { "head": [ "85", "87", "PERSON", "Jig Nesh" ], "tail": [ "92", "95", "ORG", "the Peachtree Regional" ] } ], [ { "head": [ "92", "95", "ORG", "the Peachtree Regional" ], "tail": [ "3", "8", "TIME", "18:58, 25 January 2016" ] } ], [ { "head": [ "92", "95", "ORG", "the Peachtree Regional" ], "tail": [ "9", "10", "PERSON", "Jane" ] } ], [ { "head": [ "92", "95", "ORG", "the Peachtree Regional" ], "tail": [ "58", "59", "PERSON", "Jignesh" ] } ], [ { "head": [ "92", "95", "ORG", "the Peachtree Regional" ], "tail": [ "65", "66", "PERSON", "Jignesh" ] } ], [ { "head": [ "92", "95", "ORG", "the Peachtree Regional" ], "tail": [ "70", "71", "DATE", "2009" ] } ], [ { "head": [ "92", "95", "ORG", "the Peachtree Regional" ], "tail": [ "85", "87", "PERSON", "Jig Nesh" ] } ] ]
[ " EDITED_BY", " EDITED_BY", " EDITED_BY", " EDITED_BY", " MENTIONED_IN.", " EDITED_BY", " EDITED_BY", " EDITED_BY", " DRIVING_FOR\n\n Explanation:\n The text states that \"", " EDITED_BY", " MENTIONED_IN.", " WRITTEN_AT", " EDITED_BY", " 'SELF'", " WAS_DRIVER_IN", " MENTIONED_AS", " MENTIONED_IN.", " EDITED_TIMESTAMP", " EDITED_BY", " MEMBER_OF\n Year(s): 2009", " WAS_DRIVER_IN", " SAME_AS", " MENTIONED_IN.", " EDITED_BY", " WAS_DRIVER_IN.", " WAS_DRIVER_IN", " WAS_DRIVER_IN_YEAR", " MENTIONED_IN.", " EDITED_TIMESTAMP", " EDITED_BY", " SAME_AS", " SAME_AS", " WAS_DRIVER_IN", " MENTIONED_IN.", " MENTIONED_IN.", " MENTIONED_IN.", " MENTIONED_IN.", " MENTIONED_IN.", " HELD_AT", " MENTIONED_IN." ]
[ [ "3", "8", "TIME", "18:58, 25 January 2016" ], [ "9", "10", "PERSON", "Jane" ], [ "58", "59", "PERSON", "Jignesh" ], [ "65", "66", "PERSON", "Jignesh" ], [ "70", "71", "DATE", "2009" ], [ "85", "87", "PERSON", "Jig Nesh" ], [ "92", "95", "ORG", "the Peachtree Regional" ] ]
690
692
[ "Nicola here, blogging about food (which I seem to do quite often!) Tomorrow is Shrove Tuesday, otherwise known as Pancake Day, Mardi Gras and various other names around the world. Like many festivals that have become popular celebrations, Shrove Tuesday originated in the Church calendar and is still observed as a religious festival by many people.\nThe name Shrove Tuesday comes originally from the word “shrive” meaning to absolve, as it falls just before the beginning of Lent. The name Mardi Gras, “Fat Tuesday” is more descriptive, however, as it gives a clue to the theme of eating up all the rich food you might then forsake during the 40 days of Lent, when people would be expected to fast and pray. Meat, eggs and various milk products were forbidden." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Nicola here, blogging about food (which I seem to do quite often!) Tomorrow is Shrove Tuesday, otherwise known as Pancake Day, Mardi Gras and various other names around the world. Like many festivals that have become popular celebrations, Shrove Tuesday originated in the Church calendar and is still observed as a religious festival by many people.\nThe name Shrove Tuesday comes originally from the word “shrive” meaning to absolve, as it falls just before the beginning of Lent. The name Mardi Gras, “Fat Tuesday” is more descriptive, however, as it gives a clue to the theme of eating up all the rich food you might then forsake during the 40 days of Lent, when people would be expected to fast and pray. Meat, eggs and various milk products were forbidden.'] Entities: [{'head': ['0', '1', 'PERSON', 'Nicola'], 'tail': ['16', '17', 'DATE', 'Tomorrow']}] Relation:
[ [ { "head": [ "0", "1", "PERSON", "Nicola" ], "tail": [ "16", "17", "DATE", "Tomorrow" ] } ], [ { "head": [ "0", "1", "PERSON", "Nicola" ], "tail": [ "18", "20", "DATE", "Shrove Tuesday" ] } ], [ { "head": [ "0", "1", "PERSON", "Nicola" ], "tail": [ "24", "26", "DATE", "Pancake Day" ] } ], [ { "head": [ "0", "1", "PERSON", "Nicola" ], "tail": [ "27", "29", "EVENT", "Mardi Gras" ] } ], [ { "head": [ "0", "1", "PERSON", "Nicola" ], "tail": [ "46", "48", "DATE", "Shrove Tuesday" ] } ], [ { "head": [ "0", "1", "PERSON", "Nicola" ], "tail": [ "51", "52", "ORG", "Church" ] } ], [ { "head": [ "0", "1", "PERSON", "Nicola" ], "tail": [ "68", "70", "DATE", "Shrove Tuesday" ] } ], [ { "head": [ "0", "1", "PERSON", "Nicola" ], "tail": [ "94", "96", "EVENT", "Mardi Gras" ] } ], [ { "head": [ "0", "1", "PERSON", "Nicola" ], "tail": [ "127", "130", "DATE", "the 40 days" ] } ], [ { "head": [ "0", "1", "PERSON", "Nicola" ], "tail": [ "131", "132", "EVENT", "Lent" ] } ], [ { "head": [ "16", "17", "DATE", "Tomorrow" ], "tail": [ "0", "1", "PERSON", "Nicola" ] } ], [ { "head": [ "16", "17", "DATE", "Tomorrow" ], "tail": [ "51", "52", "ORG", "Church" ] } ], [ { "head": [ "18", "20", "DATE", "Shrove Tuesday" ], "tail": [ "0", "1", "PERSON", "Nicola" ] } ], [ { "head": [ "18", "20", "DATE", "Shrove Tuesday" ], "tail": [ "51", "52", "ORG", "Church" ] } ], [ { "head": [ "24", "26", "DATE", "Pancake Day" ], "tail": [ "0", "1", "PERSON", "Nicola" ] } ], [ { "head": [ "24", "26", "DATE", "Pancake Day" ], "tail": [ "51", "52", "ORG", "Church" ] } ], [ { "head": [ "27", "29", "EVENT", "Mardi Gras" ], "tail": [ "0", "1", "PERSON", "Nicola" ] } ], [ { "head": [ "27", "29", "EVENT", "Mardi Gras" ], "tail": [ "51", "52", "ORG", "Church" ] } ], [ { "head": [ "46", "48", "DATE", "Shrove Tuesday" ], "tail": [ "0", "1", "PERSON", "Nicola" ] } ], [ { "head": [ "46", "48", "DATE", "Shrove Tuesday" ], "tail": [ "51", "52", "ORG", "Church" ] } ], [ { "head": [ "51", "52", "ORG", "Church" ], "tail": [ "0", "1", "PERSON", "Nicola" ] } ], [ { "head": [ "51", "52", "ORG", "Church" ], "tail": [ "16", "17", "DATE", "Tomorrow" ] } ], [ { "head": [ "51", "52", "ORG", "Church" ], "tail": [ "18", "20", "DATE", "Shrove Tuesday" ] } ], [ { "head": [ "51", "52", "ORG", "Church" ], "tail": [ "24", "26", "DATE", "Pancake Day" ] } ], [ { "head": [ "51", "52", "ORG", "Church" ], "tail": [ "27", "29", "EVENT", "Mardi Gras" ] } ], [ { "head": [ "51", "52", "ORG", "Church" ], "tail": [ "46", "48", "DATE", "Shrove Tuesday" ] } ], [ { "head": [ "51", "52", "ORG", "Church" ], "tail": [ "68", "70", "DATE", "Shrove Tuesday" ] } ], [ { "head": [ "51", "52", "ORG", "Church" ], "tail": [ "94", "96", "EVENT", "Mardi Gras" ] } ], [ { "head": [ "51", "52", "ORG", "Church" ], "tail": [ "127", "130", "DATE", "the 40 days" ] } ], [ { "head": [ "51", "52", "ORG", "Church" ], "tail": [ "131", "132", "EVENT", "Lent" ] } ], [ { "head": [ "68", "70", "DATE", "Shrove Tuesday" ], "tail": [ "0", "1", "PERSON", "Nicola" ] } ], [ { "head": [ "68", "70", "DATE", "Shrove Tuesday" ], "tail": [ "51", "52", "ORG", "Church" ] } ], [ { "head": [ "94", "96", "EVENT", "Mardi Gras" ], "tail": [ "0", "1", "PERSON", "Nicola" ] } ], [ { "head": [ "94", "96", "EVENT", "Mardi Gras" ], "tail": [ "51", "52", "ORG", "Church" ] } ], [ { "head": [ "127", "130", "DATE", "the 40 days" ], "tail": [ "0", "1", "PERSON", "Nicola" ] } ], [ { "head": [ "127", "130", "DATE", "the 40 days" ], "tail": [ "51", "52", "ORG", "Church" ] } ], [ { "head": [ "131", "132", "EVENT", "Lent" ], "tail": [ "0", "1", "PERSON", "Nicola" ] } ], [ { "head": [ "131", "132", "EVENT", "Lent" ], "tail": [ "51", "52", "ORG", "Church" ] } ] ]
[ " BLOGS_ABOUT", " BLOGS_ABOUT", " BLOGS_ABOUT", " BLOGS_ABOUT", " BLOGS_ABOUT", " ORIGINATED_FROM", " BLOGS_ABOUT", " BLOGS_ABOUT", " NO_RELATION", " LENT_FOLLOWS_SHROVE_TUESDAY", " WILL_DO\n\n Explanation:\n Nicola is going to blog", " ORIGINATED_FROM", " BLOGS_ABOUT", " ORIGINATED_FROM", " BLOGS_ABOUT", " ORIGINATED_FROM", " BLOGS_ABOUT", " ORIGINATED_FROM", " BLOGS_ABOUT", " ORIGINATED_FROM", " BLOGS_ABOUT", " ORIGINATED_FROM", " ORIGINATED_FROM", " ORIGINATED_FROM", " ORIGINATED_FROM", " ORIGINATED_FROM", " ORIGINATED_FROM", " ORIGINATED_FROM", " LENT_BEGINS_AFTER_SHROVE_TUESDAY", " PRECEDES", " BLOGS_ABOUT", " ORIGINATED_FROM", " DISCUSSION_OF", " ORIGINATED_FROM", " FASTS_DURING", " LENT_FOLLOWS_CHURCH", " OBSERVES", " ORIGINATED_FROM" ]
[ [ "0", "1", "PERSON", "Nicola" ], [ "16", "17", "DATE", "Tomorrow" ], [ "18", "20", "DATE", "Shrove Tuesday" ], [ "24", "26", "DATE", "Pancake Day" ], [ "27", "29", "EVENT", "Mardi Gras" ], [ "46", "48", "DATE", "Shrove Tuesday" ], [ "51", "52", "ORG", "Church" ], [ "68", "70", "DATE", "Shrove Tuesday" ], [ "94", "96", "EVENT", "Mardi Gras" ], [ "127", "130", "DATE", "the 40 days" ], [ "131", "132", "EVENT", "Lent" ] ]
691
693
[ "Dr. Gary Muncy joined 4C Medical Group from North Scottsdale Family Medicine, which he joined in May 2011. He received his medical degree from Loma Linda University School of Medicine and is a graduate of the Scottsdale Healthcare Family Practice residency program. Prior to relocating, Dr. Muncy had a solo practice in Safford, Arizona for 13 years. Dr. Muncy is Board Certified in Family Practice. Dr. Muncy’s interests include comprehensive family care from childhood through geriatrics, with a special interest in skin procedures.\nComments are closed." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Dr. Gary Muncy joined 4C Medical Group from North Scottsdale Family Medicine, which he joined in May 2011. He received his medical degree from Loma Linda University School of Medicine and is a graduate of the Scottsdale Healthcare Family Practice residency program. Prior to relocating, Dr. Muncy had a solo practice in Safford, Arizona for 13 years. Dr. Muncy is Board Certified in Family Practice. Dr. Muncy’s interests include comprehensive family care from childhood through geriatrics, with a special interest in skin procedures.\nComments are closed.'] Entities: [{'head': ['1', '3', 'PERSON', 'Gary Muncy'], 'tail': ['4', '7', 'ORG', '4C Medical Group']}] Relation:
[ [ { "head": [ "1", "3", "PERSON", "Gary Muncy" ], "tail": [ "4", "7", "ORG", "4C Medical Group" ] } ], [ { "head": [ "1", "3", "PERSON", "Gary Muncy" ], "tail": [ "8", "12", "ORG", "North Scottsdale Family Medicine" ] } ], [ { "head": [ "1", "3", "PERSON", "Gary Muncy" ], "tail": [ "17", "19", "DATE", "May 2011" ] } ], [ { "head": [ "1", "3", "PERSON", "Gary Muncy" ], "tail": [ "26", "32", "ORG", "Loma Linda University School of Medicine" ] } ], [ { "head": [ "1", "3", "PERSON", "Gary Muncy" ], "tail": [ "38", "42", "ORG", "Scottsdale Healthcare Family Practice" ] } ], [ { "head": [ "1", "3", "PERSON", "Gary Muncy" ], "tail": [ "50", "51", "PERSON", "Muncy" ] } ], [ { "head": [ "1", "3", "PERSON", "Gary Muncy" ], "tail": [ "56", "57", "GPE", "Safford" ] } ], [ { "head": [ "1", "3", "PERSON", "Gary Muncy" ], "tail": [ "58", "59", "GPE", "Arizona" ] } ], [ { "head": [ "1", "3", "PERSON", "Gary Muncy" ], "tail": [ "60", "62", "DATE", "13 years" ] } ], [ { "head": [ "1", "3", "PERSON", "Gary Muncy" ], "tail": [ "64", "65", "PERSON", "Muncy" ] } ], [ { "head": [ "1", "3", "PERSON", "Gary Muncy" ], "tail": [ "73", "74", "PERSON", "Muncy" ] } ], [ { "head": [ "4", "7", "ORG", "4C Medical Group" ], "tail": [ "1", "3", "PERSON", "Gary Muncy" ] } ], [ { "head": [ "4", "7", "ORG", "4C Medical Group" ], "tail": [ "8", "12", "ORG", "North Scottsdale Family Medicine" ] } ], [ { "head": [ "4", "7", "ORG", "4C Medical Group" ], "tail": [ "17", "19", "DATE", "May 2011" ] } ], [ { "head": [ "4", "7", "ORG", "4C Medical Group" ], "tail": [ "26", "32", "ORG", "Loma Linda University School of Medicine" ] } ], [ { "head": [ "4", "7", "ORG", "4C Medical Group" ], "tail": [ "38", "42", "ORG", "Scottsdale Healthcare Family Practice" ] } ], [ { "head": [ "4", "7", "ORG", "4C Medical Group" ], "tail": [ "50", "51", "PERSON", "Muncy" ] } ], [ { "head": [ "4", "7", "ORG", "4C Medical Group" ], "tail": [ "56", "57", "GPE", "Safford" ] } ], [ { "head": [ "4", "7", "ORG", "4C Medical Group" ], "tail": [ "58", "59", "GPE", "Arizona" ] } ], [ { "head": [ "4", "7", "ORG", "4C Medical Group" ], "tail": [ "60", "62", "DATE", "13 years" ] } ], [ { "head": [ "4", "7", "ORG", "4C Medical Group" ], "tail": [ "64", "65", "PERSON", "Muncy" ] } ], [ { "head": [ "4", "7", "ORG", "4C Medical Group" ], "tail": [ "73", "74", "PERSON", "Muncy" ] } ], [ { "head": [ "8", "12", "ORG", "North Scottsdale Family Medicine" ], "tail": [ "1", "3", "PERSON", "Gary Muncy" ] } ], [ { "head": [ "8", "12", "ORG", "North Scottsdale Family Medicine" ], "tail": [ "4", "7", "ORG", "4C Medical Group" ] } ], [ { "head": [ "8", "12", "ORG", "North Scottsdale Family Medicine" ], "tail": [ "17", "19", "DATE", "May 2011" ] } ], [ { "head": [ "8", "12", "ORG", "North Scottsdale Family Medicine" ], "tail": [ "26", "32", "ORG", "Loma Linda University School of Medicine" ] } ], [ { "head": [ "8", "12", "ORG", "North Scottsdale Family Medicine" ], "tail": [ "38", "42", "ORG", "Scottsdale Healthcare Family Practice" ] } ], [ { "head": [ "8", "12", "ORG", "North Scottsdale Family Medicine" ], "tail": [ "50", "51", "PERSON", "Muncy" ] } ], [ { "head": [ "8", "12", "ORG", "North Scottsdale Family Medicine" ], "tail": [ "56", "57", "GPE", "Safford" ] } ], [ { "head": [ "8", "12", "ORG", "North Scottsdale Family Medicine" ], "tail": [ "58", "59", "GPE", "Arizona" ] } ], [ { "head": [ "8", "12", "ORG", "North Scottsdale Family Medicine" ], "tail": [ "60", "62", "DATE", "13 years" ] } ], [ { "head": [ "8", "12", "ORG", "North Scottsdale Family Medicine" ], "tail": [ "64", "65", "PERSON", "Muncy" ] } ], [ { "head": [ "8", "12", "ORG", "North Scottsdale Family Medicine" ], "tail": [ "73", "74", "PERSON", "Muncy" ] } ], [ { "head": [ "17", "19", "DATE", "May 2011" ], "tail": [ "1", "3", "PERSON", "Gary Muncy" ] } ], [ { "head": [ "17", "19", "DATE", "May 2011" ], "tail": [ "4", "7", "ORG", "4C Medical Group" ] } ], [ { "head": [ "17", "19", "DATE", "May 2011" ], "tail": [ "8", "12", "ORG", "North Scottsdale 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"73", "74", "PERSON", "Muncy" ] } ], [ { "head": [ "64", "65", "PERSON", "Muncy" ], "tail": [ "1", "3", "PERSON", "Gary Muncy" ] } ], [ { "head": [ "64", "65", "PERSON", "Muncy" ], "tail": [ "4", "7", "ORG", "4C Medical Group" ] } ], [ { "head": [ "64", "65", "PERSON", "Muncy" ], "tail": [ "8", "12", "ORG", "North Scottsdale Family Medicine" ] } ], [ { "head": [ "64", "65", "PERSON", "Muncy" ], "tail": [ "17", "19", "DATE", "May 2011" ] } ], [ { "head": [ "64", "65", "PERSON", "Muncy" ], "tail": [ "26", "32", "ORG", "Loma Linda University School of Medicine" ] } ], [ { "head": [ "64", "65", "PERSON", "Muncy" ], "tail": [ "38", "42", "ORG", "Scottsdale Healthcare Family Practice" ] } ], [ { "head": [ "64", "65", "PERSON", "Muncy" ], "tail": [ "50", "51", "PERSON", "Muncy" ] } ], [ { "head": [ "64", "65", "PERSON", "Muncy" ], "tail": [ "56", "57", "GPE", "Safford" ] } ], [ { "head": [ "64", "65", "PERSON", "Muncy" ], "tail": [ "58", "59", "GPE", "Arizona" ] } ], [ { "head": [ "64", "65", "PERSON", "Muncy" ], "tail": [ "60", "62", "DATE", "13 years" ] } ], [ { "head": [ "64", "65", "PERSON", "Muncy" ], "tail": [ "73", "74", "PERSON", "Muncy" ] } ], [ { "head": [ "73", "74", "PERSON", "Muncy" ], "tail": [ "1", "3", "PERSON", "Gary Muncy" ] } ], [ { "head": [ "73", "74", "PERSON", "Muncy" ], "tail": [ "4", "7", "ORG", "4C Medical Group" ] } ], [ { "head": [ "73", "74", "PERSON", "Muncy" ], "tail": [ "8", "12", "ORG", "North Scottsdale Family Medicine" ] } ], [ { "head": [ "73", "74", "PERSON", "Muncy" ], "tail": [ "17", "19", "DATE", "May 2011" ] } ], [ { "head": [ "73", "74", "PERSON", "Muncy" ], "tail": [ "26", "32", "ORG", "Loma Linda University School of Medicine" ] } ], [ { "head": [ "73", "74", "PERSON", "Muncy" ], "tail": [ "38", "42", "ORG", "Scottsdale Healthcare Family Practice" ] } ], [ { "head": [ "73", "74", "PERSON", "Muncy" ], "tail": [ "50", "51", "PERSON", "Muncy" ] } ], [ { "head": [ "73", "74", "PERSON", "Muncy" ], "tail": [ "56", "57", "GPE", "Safford" ] } ], [ { "head": [ "73", "74", "PERSON", "Muncy" ], "tail": [ "58", "59", "GPE", "Arizona" ] } ], [ { "head": [ "73", "74", "PERSON", "Muncy" ], "tail": [ "60", "62", "DATE", "13 years" ] } ], [ { "head": [ "73", "74", "PERSON", "Muncy" ], "tail": [ "64", "65", "PERSON", "Muncy" ] } ] ]
[ " JOINED", " JOINED_MEDICAL_GROUP", " JOINED", " EDUCATED_AT", " RESIDENCY. Graduated from.", " SAME_AS", " PREVIOUS_LOCATION_OF.", " PREVIOUS_LOCATION", " PAST_PROFESSIONAL_EXPERIENCE", " SAME_AS", " SAME_AS", " JOINED", " JOINED_BY.", " JOINED", " EDUCATION", " RECRUITED_FROM", " JOINED", " PREVIOUS_LOCATION", " LOCATION.\n\n Explanation:\n The text states that \"Dr", " PREVIOUS_EMPLOYMENT", " JOINED", " JOINED", " JOINED_MEDICAL_GROUP", " JOINED_BY.", " JOINED_DATE", " EDUCATION", " JOINED_MEDICAL_GROUP_FROM\n\n Explanation:\n ", " JOINED_MEDICAL_GROUP", " PREVIOUS_EMPLOYER\n\n Explanation:\n ", " LEFT_OF\n\n Explanation:\n The text states that Dr.", " PREVIOUS_EMPLOYER_FOR_DURATION", " JOINED_MEDICAL_GROUP", " JOINED_MEDICAL_GROUP", " JOINED", " JOINED", " JOINED", " EDUCATION", " JOINED\n\n Explanation:\n The text states that Dr. Mun", " JOINED", " LEFT_PREVIOUS_EMPLOYER", " MOVED_TO", " JOINED", " JOINED", " EDUCATED_AT", " EDUCATED_AT", " PREVIOUS_EMPLOYER\n\n Explanation:\n ", " GRADUATED_FROM", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_IN", " EDUCATION_BACKGROUND", " EDUCATED_AT", " EDUCATED_AT", " RESIDENCY", " JOINED_BY.", " PREVIOUSLY_WORKED_AT", " JOINED_DATE", " EDUCATION", " COMPLETED_RESIDENCY", " PREVIOUS_LOCATION_OF\n\n Explanation:\n ", " RESIDED_IN", " COMPLETED_RESIDENCY", " COMPLETED_RESIDENCY", " COMPLETED_RESIDENCY", " SAME_AS", " JOINED", " JOINED_MEDICAL_GROUP", " JOINED_DATE", " EDUCATED_AT", " RESIDENCY", " PREVIOUS_LOCATION_OF.", " PREVIOUS_LOCATION_OF.", " PREVIOUS_EMPLOYMENT", " NO_RELATION", " NO_RELATION", " PREVIOUS_LOCATION_OF", " LEFT_PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_LOCATION_OF\n\n Explanation:\n ", " EDUCATED_AT", " PREVIOUS_EMPLOYER", " PREVIOUS_LOCATION_OF", " LOCATION_PREVIOUS_TO", " PREVIOUS_LOCATION_DURATION", " PREVIOUS_LOCATION_OF", " PREVIOUS_LOCATION_OF", " PREVIOUS_LOCATION", " MOVED_FROM", " PREVIOUS_EMPLOYER", " MOVED_TO", " EDUCATED_AT", " PREVIOUS_EMPLOYER", " PREVIOUS_LOCATION_OF.", " LOCATION_PREVIOUSLY_LOCATED_AT", " PREVIOUS_LOCATION_DURATION", " PREVIOUS_LOCATION", " PREVIOUS_LOCATION", " PREVIOUS_EMPLOYER", " JOINED_ORGANIZATION", " PREVIOUS_EMPLOYER", " EDUCATION", " RESIDED_AT", " PREVIOUS_EMPLOYER", " PREVIOUS_LOCATION", " PREVIOUS_LOCATION_OF.", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " SAME_AS", " JOINED", " JOINED_MEDICAL_GROUP", " JOINED", " EDUCATED_AT", " RESIDENCY.\n\n Explanation:\n The text states that Dr", " SAME_PERSON", " PREVIOUS_LOCATION", " PREVIOUS_LOCATION", " PREVIOUS_EMPLOYMENT", " SAME_PERSON", " SAME_AS", " JOINED", " JOINED_MEDICAL_GROUP", " JOINED", " EDUCATED_AT", " RESIDENCY", " SAME_PERSON", " PREVIOUS_LOCATION", " PREVIOUS_LOCATION", " PREVIOUS_EMPLOYMENT", " JOINED" ]
[ [ "1", "3", "PERSON", "Gary Muncy" ], [ "4", "7", "ORG", "4C Medical Group" ], [ "8", "12", "ORG", "North Scottsdale Family Medicine" ], [ "17", "19", "DATE", "May 2011" ], [ "26", "32", "ORG", "Loma Linda University School of Medicine" ], [ "38", "42", "ORG", "Scottsdale Healthcare Family Practice" ], [ "50", "51", "PERSON", "Muncy" ], [ "56", "57", "GPE", "Safford" ], [ "58", "59", "GPE", "Arizona" ], [ "60", "62", "DATE", "13 years" ], [ "64", "65", "PERSON", "Muncy" ], [ "73", "74", "PERSON", "Muncy" ] ]
692
694
[ "Memorandum of Understanding strengthens Australian and Indonesian statistical ties.\nDr. Soedarti Surbakti, Director General (BPS), and Mr. Dennis Trewin, Australian Statistician signed the new MOU in Canberra on behalf of their agencies.\n|A delegation from Statistics Indonesia visited the WA office on April 27 to discuss regional statistics issues, then travelled to Canberra for high level planning discussions with senior ABS staff.\nStatistical cooperation between Australia and Indonesia continues to strengthen through a third Memorandum of Understanding (MOU) signed between Badan Pusat Statistik (BPS), Statistics Indonesia, and the ABS.\nThe purpose of the visit was to discuss statistical priorities and issues, together with matters of mutual interest, including:\n- the Australia-Indonesia Government Sector Linkages Program (GSLP), funded by AusAID\n- other ABS work and international programs of interest to the BPS." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Memorandum of Understanding strengthens Australian and Indonesian statistical ties.\nDr. Soedarti Surbakti, Director General (BPS), and Mr. Dennis Trewin, Australian Statistician signed the new MOU in Canberra on behalf of their agencies.\n|A delegation from Statistics Indonesia visited the WA office on April 27 to discuss regional statistics issues, then travelled to Canberra for high level planning discussions with senior ABS staff.\nStatistical cooperation between Australia and Indonesia continues to strengthen through a third Memorandum of Understanding (MOU) signed between Badan Pusat Statistik (BPS), Statistics Indonesia, and the ABS.\nThe purpose of the visit was to discuss statistical priorities and issues, together with matters of mutual interest, including:\n- the Australia-Indonesia Government Sector Linkages Program (GSLP), funded by AusAID\n- other ABS work and international programs of interest to the BPS.'] Entities: [{'head': ['4', '5', 'NORP', 'Australian'], 'tail': ['12', '14', 'PERSON', 'Soedarti Surbakti']}] Relation:
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"70", "71", "ORG", "ABS" ] } ], [ { "head": [ "151", "152", "ORG", "ABS" ], "tail": [ "77", "78", "GPE", "Australia" ] } ], [ { "head": [ "151", "152", "ORG", "ABS" ], "tail": [ "79", "80", "GPE", "Indonesia" ] } ], [ { "head": [ "151", "152", "ORG", "ABS" ], "tail": [ "85", "86", "ORDINAL", "third" ] } ], [ { "head": [ "151", "152", "ORG", "ABS" ], "tail": [ "86", "89", "LAW", "Memorandum of Understanding" ] } ], [ { "head": [ "151", "152", "ORG", "ABS" ], "tail": [ "94", "97", "ORG", "Badan Pusat Statistik" ] } ], [ { "head": [ "151", "152", "ORG", "ABS" ], "tail": [ "98", "99", "ORG", "BPS" ] } ], [ { "head": [ "151", "152", "ORG", "ABS" ], "tail": [ "101", "103", "ORG", "Statistics Indonesia" ] } ], [ { "head": [ "151", "152", "ORG", "ABS" ], "tail": [ "106", "107", "ORG", "ABS" ] } ], [ { "head": [ "151", "152", "ORG", "ABS" ], "tail": [ "134", "135", "GPE", "Australia" ] } ], [ { "head": [ "151", "152", "ORG", "ABS" ], "tail": [ "147", "148", "ORG", "AusAID" ] } ], [ { "head": [ "151", "152", "ORG", "ABS" ], "tail": [ "160", "161", "ORG", "BPS" ] } ], [ { "head": [ "160", "161", "ORG", "BPS" ], "tail": [ "4", "5", "NORP", "Australian" ] } ], [ { "head": [ "160", "161", "ORG", "BPS" ], "tail": [ "6", "7", "NORP", "Indonesian" ] } ], [ { "head": [ "160", "161", "ORG", "BPS" ], "tail": [ "12", "14", "PERSON", "Soedarti Surbakti" ] } ], [ { "head": [ "160", "161", "ORG", "BPS" ], "tail": [ "18", "19", "ORG", "BPS" ] } ], [ { "head": [ "160", "161", "ORG", "BPS" ], "tail": [ "23", "25", "PERSON", "Dennis Trewin" ] } ], [ { "head": [ "160", "161", "ORG", "BPS" ], "tail": [ "26", "28", "ORG", "Australian Statistician" ] } ], [ { "head": [ "160", "161", "ORG", "BPS" ], "tail": [ "33", "34", "GPE", "Canberra" ] } ], [ { "head": [ "160", "161", "ORG", "BPS" ], "tail": [ "44", "46", "ORG", "Statistics Indonesia" ] } ], [ { "head": [ "160", "161", "ORG", "BPS" ], "tail": [ "48", "49", "GPE", "WA" ] } ], [ { "head": [ "160", "161", "ORG", "BPS" ], "tail": [ "51", "53", "DATE", "April 27" ] } ], [ { "head": [ "160", "161", "ORG", "BPS" ], "tail": [ "62", "63", "GPE", "Canberra" ] } ], [ { "head": [ "160", "161", "ORG", "BPS" ], "tail": [ "70", "71", "ORG", "ABS" ] } ], [ { "head": [ "160", "161", "ORG", "BPS" ], "tail": [ "77", "78", "GPE", "Australia" ] } ], [ { "head": [ "160", "161", "ORG", "BPS" ], "tail": [ "79", "80", "GPE", "Indonesia" ] } ], [ { "head": [ "160", "161", "ORG", "BPS" ], "tail": [ "85", "86", "ORDINAL", "third" ] } ], [ { "head": [ "160", "161", "ORG", "BPS" ], "tail": [ "86", "89", "LAW", "Memorandum of Understanding" ] } ], [ { "head": [ "160", "161", "ORG", "BPS" ], "tail": [ "94", "97", "ORG", "Badan Pusat Statistik" ] } ], [ { "head": [ "160", "161", "ORG", "BPS" ], "tail": [ "98", "99", "ORG", "BPS" ] } ], [ { "head": [ "160", "161", "ORG", "BPS" ], "tail": [ "101", "103", "ORG", "Statistics Indonesia" ] } ], [ { "head": [ "160", "161", "ORG", "BPS" ], "tail": [ "106", "107", "ORG", "ABS" ] } ], [ { "head": [ "160", "161", "ORG", "BPS" ], "tail": [ "134", "135", "GPE", "Australia" ] } ], [ { "head": [ "160", "161", "ORG", "BPS" ], "tail": [ "147", "148", "ORG", "AusAID" ] } ], [ { "head": [ "160", "161", "ORG", "BPS" ], "tail": [ "151", "152", "ORG", "ABS" ] } ] ]
[ " DIRECTOR_GENERAL_OF\n\n Explanation:\n The text", " COOPERATION", " DIRECTOR_GENERAL", " DIRECTOR_GENERAL", " LOCATION_IN\n\n Explanation:\n The text states that the", " COOPERATION", " DISCUSSION_TOPIC", " LOCATION_IN_CITY", " ORG_IS_AGENCY_OF_ORG", " COUNTRY_OF_ORIGIN", " COOPERATION", " COOPERATION", " COOPERATION", " COOPERATION", " COOPERATION", " COUNTRY_OF_ORIGIN_OF_ORGANIZATION", " FUNDING", " COOPERATION", " COOPERATION", " DIRECTOR_GENERAL_OF", " STATISTICAL_AGENCY_OF", " SIGNED_BY", " SIGNED_BY", " VISITED_BY\n\n Explanation:\n The text states that", " ORG_IS_AGENCY_OF_ORG", " VISITED", " VISITED_PLACE", " COOPERATION", " COOPERATION", " COUNTRY_OF_ORIGIN", " STATISTICAL_AGENCY_OF", " STATISTICAL_AGENCY_OF", " 'IS_AGENCY_OF'", " COOPERATION", " COOPERATION", " FUNDING", " COOPERATION", " STATISTICAL_AGENCY_OF", " DIRECTOR_GENERAL_OF\n\n Explanation:\n The text", " DIRECTOR_GENERAL_OF", " DIRECTOR_GENERAL", " SIGNED_MOU", " SIGNED_BY", " VISITED_IN\n\n Explanation:\n The text states that", " DIRECTOR_GENERAL_OF", " VISITED", " VISITED_ON", " VISITED_PLACE", " DIRECTOR_GENERAL_OF", " COOPERATION", " DIRECTOR_GENERAL_OF", " THIRD_MOU_SIGNED_BY_SOEDARTISURBAK", " SIGNED", " DIRECTOR_GENERAL_OF", " DIRECTOR_GENERAL", " DIRECTOR_GENERAL_OF", " SIGNED_MOU", " COOPERATION", " FUNDING", " SIGNED_MOU", " DIRECTOR_GENERAL", " ORG_IS_AGENT_OF_ORG", " STATISTICAL_ORGANIZATION_OF\n\n Explanation:\n", " DIRECTOR_GENERAL", " DIRECTOR_GENERAL", " DIRECTOR_GENERAL_OF\n\n Explanation:\n The text", " VISITED_IN.", " ORG_MEMBER_OF\n OR BPS is a member of Statistics Indonesia.", " VISITED_BY", " VISITED_ON", " VISITED_IN\n\n Explanation:\n The text states that", " COOPERATION", " COOPERATION", " STATISTICAL_AGENCY_OF", " THIRD_MOU", " SIGNED", " IDENTICAL", " COOPERATION", " ORG_MEMBER_OF\n OR BPS is a member of Statistics Indonesia.", " COOPERATION", " COOPERATION", " FUNDING", " COOPERATION", " COOPERATION", " AUSTRALIAN_STATISTICIAN", " REPRESENTATIVE_OF", " SIGNED_MOU", " AUSTRALIAN_STATISTICIAN_OF_ABS_IS_", " DIRECTOR_OF\n\n Explanation:\n The text states that \"", " VISITED_PLACE", " REPRESENTATIVE_OF", " DISCUSSION_WITH", " VISITED_ON", " VISITED_PLACE", " AUSTRALIAN_STATISTICIAN_OF_ABS", " AUSTRALIAN_STATISTICIAN_OF\n\n Entities:", " REPRESENTATIVE_OF", " SIGNED_MOU", " SIGNED", " REPRESENTS\n\n Explanation:\n Dennis Trewin represents", " AUSTRALIAN_STATISTICIAN_OF_ABS_IS_", " REPRESENTATIVE_OF", " AUSTRALIAN_STATISTICIAN_OF_ABS", " AUSTRALIAN_STATISTICIAN_OF\n\n Entities:", " FUNDING.", " AUSTRALIAN_STATISTICIAN_OF_ABS", " DIRECTOR_GENERAL_OF\n\n Explanation:\n The text", " DIRECTOR_GENERAL_OF\n\n Explanation:\n The text", " REPRESENTS_ORGANIZATION_OF", " DIRECTOR_GENERAL_OF\n\n Explanation:\n The text", " SIGNED_MOU", " DIRECTOR_GENERAL", " MEETING_PLACE", " COOPERATION", " DISCUSSIONS_WITH", " VISITED_ON", " SIGNED_IN_LOCATION", " DIRECTOR_OF\n\n Explanation:\n The text states that \"", " REPRESENTS_ORGANIZATION_OF.", " COOPERATION", " SIGNED_MOU", " SIGNED", " AGREEMENT", " SIGNED_MOU", " COOPERATION", " DIRECTOR_GENERAL_OF\n\n Explanation:\n The text", " REPRESENTS_ORGANIZATION_OF.", " FUNDING", " DIRECTOR_GENERAL_OF\n\n Explanation:\n The text", " SIGNED_MOU", " HOST_CITY", " HOST_IN_LOCATION", " VISITED_BY", " HOST_IN_LOCATION", " SIGNED_BY", " SIGNED_BY", " VISITED", " VISITED_BY", " VISITED_ON", " MEETING_PLACE", " HOSTED_BY", " HOST_IN_LOCATION", " COLOCATED_WITH", " VISITED_BY\n\n Explanation:\n The text states that", " LOCATION_OF_EVENT", " VISITED_BY", " HOST_IN_LOCATION", " VISITED_BY", " HOSTED_BY", " HOST_IN_LOCATION", " FUNDING.", " HOSTED_BY", " MEETING_PLACE", " COOPERATION", " COUNTRY_OF_ORGANIZATION", " DIRECTOR_GENERAL", " ORG_MEMBER_OF\n OR BELONGS_TO\n OR", " VISITED_BY", " COOPERATION", " VISITED_IN.", " VISITED", " VISITED_ON", " VISITED", " COOPERATION", " COOPERATION", " COUNTRY_OF_HEADQUARTERS_OR_RESIDENCE\n\n ", " COOPERATION_AGREEMENT_3", " SIGNED", " IS_IDENTICAL_TO\n or\n SUBORDINATE_TO\n ", " ORG_MEMBER_OF\n OR BELONGS_TO\n OR", " COOPERATION", " COOPERATION", " COOPERATION", " FUNDING", " COOPERATION", " ORG_MEMBER_OF\n OR BELONGS_TO\n OR", " DISCUSSION_WITH", " VISITED_BY", " VISITED_BY", " DISCUSSIONS_WITH", " VISITED_BY", " VISITED_BY", " TRAVELLED_TO", " VISITED", " VISITED_ON", " TRAVELLED_TO", " HOSTED_BY", " HOST_OF\n\n Explanation:\n The text states that a deleg", " VISITED_BY", " PRECEDES", " DISCUSSION_TOPIC", " VISITED_BY", " VISITED_BY", " VISITED", " DISCUSSIONS_WITH", " HOSTED_BY", " FUNDING", " DISCUSSIONS_WITH", " VISITED_BY", " VISITED", " VISITED", " VISITED", " VISITED", " VISITED", " VISITED", " VISITED", " VISITED", " VISITED", " VISITED", " VISITED", " VISITED", " VISITED", " VISITED", " VISITED", " VISITED_BY", " FUNDING.", " VISITED", " VISITED", " HOST_OF\n\n Explanation:\n The text states that \"a", " HOST_CITY", " VISITED_BY", " HOST_CITY", " SIGNED_BY", " SIGNED_BY", " MEETING_PLACE", " VISITED", " VISITED_BY", " VISITED_ON", " HOSTED_BY", " LOCATION_IN\n\n Explanation:\n The text states that the", " COLOCATED_IN", " SIGNED_MOU_THIRD", " LOCATION_OF_EVENT", " VISITED_BY", " HOST_CITY", " VISITED_BY", " HOSTED_BY", " LOCATION_IN\n\n Explanation:\n The text states that the", " FUNDING.", " HOSTED_BY", " MEETING_PLACE", " ORG_IS_AGENCY_OF_ORG", " COOPERATION", " DIRECTOR_GENERAL", " COOPERATION", " DIRECTOR_GENERAL", " DIRECTOR_GENERAL", " MEETING_PLACE", " COOPERATION", " DISCUSSION_AT_LOCATION", " VISITED_ON", " MEETING_PLACE", " ORG_IS_AGENT_OF_GPE", " COOPERATION", " SIGNED_MOU", " SIGNED", " COOPERATION", " COOPERATION", " COOPERATION", " COLLABORATOR", " COUNTRY_OF_HEADQUARTERS_OR_RESIDENCE\n\n ", " FUNDING", " COOPERATION", " COOPERATION", " COUNTRY_OF_ORIGIN_OF_ORGANIZATION", " COOPERATION", " DIRECTOR_GENERAL_OF", " COOPERATION", " DIRECTOR_GENERAL", " DIRECTOR_GENERAL", " LOCATION_IN\n\n Explanation:\n The text states that the", " COOPERATION", " OFFICE_LOCATED_IN", " VISITED_ON", " LOCATION_IN\n\n Entities: \n [{'head': ['", " COOPERATION", " COOPERATION", " SIGNED_MOU_THIRD", " COUNTRY_OF_ORIGIN_OF_DOCUMENT", " COOPERATION", " COOPERATION", " COOPERATION", " COOPERATION", " COUNTRY_COUNTRY_AGREEMENT", " FUNDING.", " COOPERATION", " COOPERATION", " COOPERATION", " COUNTRY_OF_NATIONALITY", " DIRECTOR_GENERAL", " GOVERNMENT_OF \n or\n ORGANIZATION_OF", " SIGNED_BY", " SIGNED_MOU", " VISITED_BY\n\n Explanation:\n The text states that", " GOVERNMENT_OF \n or\n ORGANIZATION_OF", " VISITED", " VISITED_ON", " VISITED_BY\n\n Explanation:\n The text describes a", " COOPERATION", " COOPERATION", " COOPERATION_WITH_ORGANIZATION_ON_MOU_SIGNING", " COUNTRY_OF_ORIGIN_OF_DOCUMENT", " GOVERNMENT_OF\n\n Explanation:\n The text states that", " COUNTRY_OF_HEADQUARTERS_OR_MEMBER_OF_OR", " GOVERNMENT_OF\n or\n ORGANIZATION_OF\n", " COOPERATION", " COOPERATION", " FUNDING.", " COOPERATION", " GOVERNMENT_OF \n or\n ORGANIZATION_OF", " SIGNED_BY", " SIGNED_MOU", " SIGNED_BY", " SIGNED_MOU", " MOU_SIGNED_AT", " COOPERATION", " DISCUSSION_TOPIC", " MOU_SIGNED_AT", " SIGNED_MOU", " COOPERATION", " COOPERATION", " MOU_SIGNED_BY_ORGANISATIONS", " SIGNED_MOU", " COOPERATION", " SIGNED_MOU", " COOPERATION", " FUNDING.", " SIGNED_MOU", " SIGNED_MOU", " DIRECTIONAL_SIGNED_AGREEMENT", " PARTIES_TO_AGREEMENT", " SIGNED_BY", " SIGNED_BY", " LOCATION_OF_EVENT", " STRENGTHENS", " DISCUSSIONS_WITH", " LOCATION_OF_EVENT", " SIGNED_MOU", " STRENGTHENS", " STRENGTHENS", " SIGNED_MOU", " PARTY_TO_AGREEMENT", " STRENGTHENS", " SIGNED_MOU", " STRENGTHENS", " FUNDING", " SIGNED_MOU", " PARTIES_TO_AGREEMENT", " COOPERATION", " STATISTICAL_ORGANIZATION_OF\n\n Explanation:\n", " DIRECTOR_GENERAL", " IS_IDENTICAL_TO", " SIGNED_BY", " COOPERATION", " VISITED_IN\n\n Explanation:\n The text states that", " ORG_MEMBER_OF\n OR BELONGS_TO\n OR", " VISITED_BY", " VISITED_ON", " VISITED_BY\n\n Explanation:\n The text states that", " COOPERATION", " COOPERATION", " STATISTICAL_AGENCY_OF", " SIGNED_MOU_THIRD", " SIGNED", " IDENTICAL_TO", " ORG_PART_OF # or COOPERATION if you prefer that label.", " COOPERATION", " COOPERATION", " FUNDING", " COOPERATION", " IDENTICAL", " COOPERATION", " STATISTICAL_ORGANIZATION_OF\n\n Explanation:\n", " DIRECTOR_GENERAL", " COOPERATION", " SIGNED_BY", " DIRECTOR_GENERAL_OF\n\n Explanation:\n The text", " VISITED_IN\n\n Explanation:\n The text states that", " ORG_MEMBER_OF\n OR BPS is a member of Statistics Indonesia.", " VISITED_BY", " VISITED_ON", " VISITED_IN\n\n Explanation:\n The text states that", " COOPERATION", " COOPERATION", " STATISTICAL_AGENCY_OF", " SIGNED_MOU_THIRD", " SIGNED", " IDENTICAL\n\n Explanation:\n The text states that 'Statistics Indonesia", " ORG_MEMBER_OF\n OR BELONGS_TO\n OR", " COOPERATION", " COOPERATION", " FUNDING", " COOPERATION", " COOPERATION", " COOPERATION", " COUNTRY_OF_HEADQUARTERS_OR_ORGANIZATION\n", " DIRECTOR_GENERAL", " PARTI_OF", " VISITED_BY", " COOPERATION", " VISITED_IN.", " COOPERATION", " VISITED", " VISITED_ON", " VISITED_IN.", " COOPERATION", " COOPERATION", " COUNTRY_OF_HEADQUARTERS_OR_RESIDENCE\n or", " SIGNED_MOU_THIRD", " SIGNED_MOU", " IS_AFFILIATED_WITH", " PARTI_OF", " COOPERATION", " COOPERATION", " FUNDING", " COOPERATION", " COLLABORATOR", " IS_AGENCY_OF", " COOPERATION", " DIRECTOR_GENERAL", " COOPERATION", " DIRECTOR_GENERAL", " DIRECTOR_GENERAL", " MEETING_PLACE", " COOPERATION", " DISCUSSION_AT_LOCATION", " VISITED_ON", " MEETING_PLACE", " COLLABORATOR", " COUNTRY_OF_HEADQUARTERS_OR_RESIDENCE\n\n ", " COOPERATION", " SIGNED_MOU", " SIGNED", " COOPERATION", " COOPERATION", " COOPERATION", " COUNTRY_OF_HEADQUARTERS_OR_RESIDENCE\n\n ", " FUNDING", " COLLABORATOR", " COOPERATION", " COUNTRY_OF_ORIGIN_OF_ORGANIZATION", " COOPERATION", " DIRECTOR_GENERAL_OF", " COOPERATION", " DIRECTOR_GENERAL_OF\n\n Explanation:\n The text", " DIRECTOR_GENERAL_OF\n\n Explanation:\n The text", " LOCATION_IN\n\n Explanation:\n The text states that the", " COOPERATION", " DISCUSSION_TOPIC", " VISITED_ON", " LOCATION_IN_CITY", " COOPERATION", " COUNTRY_COUNTRY_AGREEMENT", " COOPERATION", " SIGNED_MOU_THIRD", " STRENGTHENS", " COOPERATION", " COOPERATION", " COOPERATION", " COOPERATION", " FUNDING.", " COOPERATION", " COOPERATION", " FUNDING.", " FUNDER", " FUNDER", " FUNDING", " FUNDER", " FUNDING", " FUNDING_LOCATION", " FUNDER", " FUNDING", " FUNDING_PROGRAM_ON_DATE", " FUNDING_LOCATION", " FUNDING", " FUNDER", " FUNDER", " FUNDING.", " FUNDING", " FUNDER", " FUNDING", " FUNDING", " FUNDING", " FUNDER", " FUNDING", " FUNDING", " COOPERATION", " COOPERATION", " DIRECTOR_GENERAL", " COOPERATION", " DIRECTOR_GENERAL", " DIRECTOR_GENERAL", " MEETING_PLACE", " COOPERATION", " DISCUSSION_AT_LOCATION", " VISITED_ON", " MEETING_PLACE", " COLLABORATOR", " COUNTRY_OF_HEADQUARTERS_OR_RESIDENCE\n or", " COOPERATION", " SIGNED_MOU", " SIGNED", " COOPERATION", " COOPERATION", " COOPERATION", " COLLABORATOR", " COOPERATION", " FUNDING", " COOPERATION", " COOPERATION", " STATISTICAL_ORGANIZATION_OF\n\n Explanation:\n", " DIRECTOR_GENERAL", " COOPERATION", " DIRECTOR_GENERAL", " SIGNED_MOU", " VISITED_IN.", " ORG_MEMBER_OF\n OR BPS is a member of Statistics Indonesia.", " VISITED_BY", " VISITED_ON", " VISITED_IN.", " COOPERATION", " COOPERATION", " STATISTICAL_AGENCY_OF", " SIGNED_MOU", " SIGNED", " IDENTICAL", " COOPERATION", " ORG_MEMBER_OF\n OR BPS is a member of Statistics Indonesia.", " COOPERATION", " COOPERATION", " FUNDING", " COOPERATION" ]
[ [ "4", "5", "NORP", "Australian" ], [ "6", "7", "NORP", "Indonesian" ], [ "12", "14", "PERSON", "Soedarti Surbakti" ], [ "18", "19", "ORG", "BPS" ], [ "23", "25", "PERSON", "Dennis Trewin" ], [ "26", "28", "ORG", "Australian Statistician" ], [ "33", "34", "GPE", "Canberra" ], [ "44", "46", "ORG", "Statistics Indonesia" ], [ "48", "49", "GPE", "WA" ], [ "51", "53", "DATE", "April 27" ], [ "62", "63", "GPE", "Canberra" ], [ "70", "71", "ORG", "ABS" ], [ "77", "78", "GPE", "Australia" ], [ "79", "80", "GPE", "Indonesia" ], [ "85", "86", "ORDINAL", "third" ], [ "86", "89", "LAW", "Memorandum of Understanding" ], [ "94", "97", "ORG", "Badan Pusat Statistik" ], [ "98", "99", "ORG", "BPS" ], [ "101", "103", "ORG", "Statistics Indonesia" ], [ "106", "107", "ORG", "ABS" ], [ "134", "135", "GPE", "Australia" ], [ "147", "148", "ORG", "AusAID" ], [ "151", "152", "ORG", "ABS" ], [ "160", "161", "ORG", "BPS" ] ]
693
695
[ "Parish Life & Community Events\nAll Saints has a wide array of events - something for everyone!\nParish Life Events\nAll Saints is committed to providing opportunities for fellowship throughout the year to those who wish to participate. When the building is open again and we are once again together; we will get back to hosting events to help bring us all closer.\nAll Saints is a strong believer in supporting our local community. We know that sometimes local groups need help in getting the word out about upcoming events. If you have an event you would like for us to include on our community calendar of events please click here to email our Director of Communications, Jessica McIlwee, with the details of the event." ]
[ [ "Parish", "Life", "&", "Community", "Events", "\n", "All", "Saints", "has", "a", "wide", "array", "of", "events", "-", "something", "for", "everyone", "!", "\n", "Parish", "Life", "Events", "\n", "All", "Saints", "is", "committed", "to", "providing", "opportunities", "for", "fellowship", "throughout", "the", "year", "to", "those", "who", "wish", "to", "participate", ".", "When", "the", "building", "is", "open", "again", "and", "we", "are", "once", "again", "together", ";", "we", "will", "get", "back", "to", "hosting", "events", "to", "help", "bring", "us", "all", "closer", ".", "\n", "All", "Saints", "is", "a", "strong", "believer", "in", "supporting", "our", "local", "community", ".", "We", "know", "that", "sometimes", "local", "groups", "need", "help", "in", "getting", "the", "word", "out", "about", "upcoming", "events", ".", "If", "you", "have", "an", "event", "you", "would", "like", "for", "us", "to", "include", "on", "our", "community", "calendar", "of", "events", "please", "click", "here", "to", "email", "our", "Director", "of", "Communications", ",", "Jessica", "McIlwee", ",", "with", "the", "details", "of", "the", "event", "." ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Parish Life & Community Events\nAll Saints has a wide array of events - something for everyone!\nParish Life Events\nAll Saints is committed to providing opportunities for fellowship throughout the year to those who wish to participate. When the building is open again and we are once again together; we will get back to hosting events to help bring us all closer.\nAll Saints is a strong believer in supporting our local community. We know that sometimes local groups need help in getting the word out about upcoming events. If you have an event you would like for us to include on our community calendar of events please click here to email our Director of Communications, Jessica McIlwee, with the details of the event.'] Entities: [{'head': ['0', '5', 'ORG', 'Parish Life & Community Events'], 'tail': ['6', '8', 'ORG', 'All Saints']}] Relation:
[ [ { "head": [ "0", "5", "ORG", "Parish Life & Community Events" ], "tail": [ "6", "8", "ORG", "All Saints" ] } ], [ { "head": [ "0", "5", "ORG", "Parish Life & Community Events" ], "tail": [ "20", "23", "ORG", "Parish Life Events" ] } ], [ { "head": [ "0", "5", "ORG", "Parish Life & Community Events" ], "tail": [ "24", "26", "ORG", "All Saints" ] } ], [ { "head": [ "0", "5", "ORG", "Parish Life & Community Events" ], "tail": [ "34", "36", "DATE", "the year" ] } ], [ { "head": [ "0", "5", "ORG", "Parish Life & Community Events" ], "tail": [ "71", "73", "ORG", "All Saints" ] } ], [ { "head": [ "0", "5", "ORG", "Parish Life & Community Events" ], "tail": [ "128", "130", "PERSON", "Jessica McIlwee" ] } ], [ { "head": [ "6", "8", "ORG", "All Saints" ], "tail": [ "0", "5", "ORG", "Parish Life & Community Events" ] } ], [ { "head": [ "6", "8", "ORG", "All Saints" ], "tail": [ "20", "23", "ORG", "Parish Life Events" ] } ], [ { "head": [ "6", "8", "ORG", "All Saints" ], "tail": [ "24", "26", "ORG", "All Saints" ] } ], [ { "head": [ "6", "8", "ORG", "All Saints" ], "tail": [ "34", "36", "DATE", "the year" ] } ], [ { "head": [ "6", "8", "ORG", "All Saints" ], "tail": [ "71", "73", "ORG", "All Saints" ] } ], [ { "head": [ "6", "8", "ORG", "All Saints" ], "tail": [ "128", "130", "PERSON", "Jessica McIlwee" ] } ], [ { "head": [ "20", "23", "ORG", "Parish Life Events" ], "tail": [ "0", "5", "ORG", "Parish Life & Community Events" ] } ], [ { "head": [ "20", "23", "ORG", "Parish Life Events" ], "tail": [ "6", "8", "ORG", "All Saints" ] } ], [ { "head": [ "20", "23", "ORG", "Parish Life Events" ], "tail": [ "24", "26", "ORG", "All Saints" ] } ], [ { "head": [ "20", "23", "ORG", "Parish Life Events" ], "tail": [ "34", "36", "DATE", "the year" ] } ], [ { "head": [ "20", "23", "ORG", "Parish Life Events" ], "tail": [ "71", "73", "ORG", "All Saints" ] } ], [ { "head": [ "20", "23", "ORG", "Parish Life Events" ], "tail": [ "128", "130", "PERSON", "Jessica McIlwee" ] } ], [ { "head": [ "24", "26", "ORG", "All Saints" ], "tail": [ "0", "5", "ORG", "Parish Life & Community Events" ] } ], [ { "head": [ "24", "26", "ORG", "All Saints" ], "tail": [ "6", "8", "ORG", "All Saints" ] } ], [ { "head": [ "24", "26", "ORG", "All Saints" ], "tail": [ "20", "23", "ORG", "Parish Life Events" ] } ], [ { "head": [ "24", "26", "ORG", "All Saints" ], "tail": [ "34", "36", "DATE", "the year" ] } ], [ { "head": [ "24", "26", "ORG", "All Saints" ], "tail": [ "71", "73", "ORG", "All Saints" ] } ], [ { "head": [ "24", "26", "ORG", "All Saints" ], "tail": [ "128", "130", "PERSON", "Jessica McIlwee" ] } ], [ { "head": [ "34", "36", "DATE", "the year" ], "tail": [ "0", "5", "ORG", "Parish Life & Community Events" ] } ], [ { "head": [ "34", "36", "DATE", "the year" ], "tail": [ "6", "8", "ORG", "All Saints" ] } ], [ { "head": [ "34", "36", "DATE", "the year" ], "tail": [ "20", "23", "ORG", "Parish Life Events" ] } ], [ { "head": [ "34", "36", "DATE", "the year" ], "tail": [ "24", "26", "ORG", "All Saints" ] } ], [ { "head": [ "34", "36", "DATE", "the year" ], "tail": [ "71", "73", "ORG", "All Saints" ] } ], [ { "head": [ "34", "36", "DATE", "the year" ], "tail": [ "128", "130", "PERSON", "Jessica McIlwee" ] } ], [ { "head": [ "71", "73", "ORG", "All Saints" ], "tail": [ "0", "5", "ORG", "Parish Life & Community Events" ] } ], [ { "head": [ "71", "73", "ORG", "All Saints" ], "tail": [ "6", "8", "ORG", "All Saints" ] } ], [ { "head": [ "71", "73", "ORG", "All Saints" ], "tail": [ "20", "23", "ORG", "Parish Life Events" ] } ], [ { "head": [ "71", "73", "ORG", "All Saints" ], "tail": [ "24", "26", "ORG", "All Saints" ] } ], [ { "head": [ "71", "73", "ORG", "All Saints" ], "tail": [ "34", "36", "DATE", "the year" ] } ], [ { "head": [ "71", "73", "ORG", "All Saints" ], "tail": [ "128", "130", "PERSON", "Jessica McIlwee" ] } ], [ { "head": [ "128", "130", "PERSON", "Jessica McIlwee" ], "tail": [ "0", "5", "ORG", "Parish Life & Community Events" ] } ], [ { "head": [ "128", "130", "PERSON", "Jessica McIlwee" ], "tail": [ "6", "8", "ORG", "All Saints" ] } ], [ { "head": [ "128", "130", "PERSON", "Jessica McIlwee" ], "tail": [ "20", "23", "ORG", "Parish Life Events" ] } ], [ { "head": [ "128", "130", "PERSON", "Jessica McIlwee" ], "tail": [ "24", "26", "ORG", "All Saints" ] } ], [ { "head": [ "128", "130", "PERSON", "Jessica McIlwee" ], "tail": [ "34", "36", "DATE", "the year" ] } ], [ { "head": [ "128", "130", "PERSON", "Jessica McIlwee" ], "tail": [ "71", "73", "ORG", "All Saints" ] } ] ]
[ " ORGANIZER", " PART_OF", " ORGANIZER", " COMMITTED_TO", " ORGANIZER", " CONTACTS", " ORGANIZES", " HOSTS", " COMMUNITY_ORGANIZATION_OF\n OR COMMUNITY", " COMMITTED_TO", " SELF_REFERENCE", " DIRECTOR_OF_COMMUNICATIONS", " PART_OF", " ORGANIZES", " ORGANIZES", " COMMITTED_TO", " ORGANIZES", " CONTACTS", " ORGANIZES", " COMMITTEE_MEMBER\n\n Explanation:\n The text states", " HOSTS", " COMMITTED_TO", " COMMUNITY_ORGANIZATION_OF\n ORG_OF\n", " DIRECTOR_OF_COMMUNICATIONS", " COMMUNITY_CALENDAR", " COMMUNITY_EVENT_YEAR", " COMMUNITY_EVENT_OF\n\n Explanation:\n The text", " COMMUNITY_EVENT_HOSTED_BY", " COMMUNITY_EVENT_HOSTED_BY", " CONTACT\n\n Explanation:\n The text states that if someone has", " ORGANIZES", " COMMITTEE_MEMBER\n\n Explanation:\n The text states", " HOSTS", " COMMITTEE_MEMBER\n\n Explanation:\n The text states", " COMMITTED_TO", " DIRECTOR_OF_COMMUNICATIONS", " DIRECTOR_OF_COMMUNICATIONS", " DIRECTOR_OF_COMMUNICATIONS", " DIRECTOR_OF_COMMUNICATIONS", " DIRECTOR_OF_COMMUNICATIONS", " RECEIVES_EVENT_DETAILS_FOR_CALENDAR", " DIRECTOR_OF_COMMUNICATIONS" ]
[ [ "0", "5", "ORG", "Parish Life & Community Events" ], [ "6", "8", "ORG", "All Saints" ], [ "20", "23", "ORG", "Parish Life Events" ], [ "24", "26", "ORG", "All Saints" ], [ "34", "36", "DATE", "the year" ], [ "71", "73", "ORG", "All Saints" ], [ "128", "130", "PERSON", "Jessica McIlwee" ] ]
694
696
[ "|Offset print on paper\nKnown as the Picasso of India, Maqbool Fida Husain, commonly known as M F Husain was born in 1915 in Pandharpur in Maharashtra. He studied at Indore Art Co... Read more\nThis individual limited edition reproduction is part of the portfolio \"Images of Raj - II\". The portfolio was published in an edition of 500. The paper size is 14 x 20 inches, image size is 12 x 17 inches. The print is signed by the artist and comes with a certificate of authenticity." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['|Offset print on paper\nKnown as the Picasso of India, Maqbool Fida Husain, commonly known as M F Husain was born in 1915 in Pandharpur in Maharashtra. He studied at Indore Art Co... Read more\nThis individual limited edition reproduction is part of the portfolio "Images of Raj - II". The portfolio was published in an edition of 500. The paper size is 14 x 20 inches, image size is 12 x 17 inches. The print is signed by the artist and comes with a certificate of authenticity.'] Entities: [{'head': ['12', '15', 'PERSON', 'Maqbool Fida Husain'], 'tail': ['19', '22', 'PERSON', 'M F Husain']}] Relation:
[ [ { "head": [ "12", "15", "PERSON", "Maqbool Fida Husain" ], "tail": [ "19", "22", "PERSON", "M F Husain" ] } ], [ { "head": [ "12", "15", "PERSON", "Maqbool Fida Husain" ], "tail": [ "25", "26", "DATE", "1915" ] } ], [ { "head": [ "12", "15", "PERSON", "Maqbool Fida Husain" ], "tail": [ "27", "28", "GPE", "Pandharpur" ] } ], [ { "head": [ "12", "15", "PERSON", "Maqbool Fida Husain" ], "tail": [ "29", "30", "GPE", "Maharashtra" ] } ], [ { "head": [ "12", "15", "PERSON", "Maqbool Fida Husain" ], "tail": [ "34", "37", "ORG", "Indore Art Co" ] } ], [ { "head": [ "12", "15", "PERSON", "Maqbool Fida Husain" ], "tail": [ "52", "57", "WORK_OF_ART", "Images of Raj - II" ] } ], [ { "head": [ "12", "15", "PERSON", "Maqbool Fida Husain" ], "tail": [ "67", "68", "CARDINAL", "500" ] } ], [ { "head": [ "12", "15", "PERSON", "Maqbool Fida Husain" ], "tail": [ "73", "77", "QUANTITY", "14 x 20 inches" ] } ], [ { "head": [ "12", "15", "PERSON", "Maqbool Fida Husain" ], "tail": [ "81", "85", "QUANTITY", "12 x 17 inches" ] } ], [ { "head": [ "19", "22", "PERSON", "M F Husain" ], "tail": [ "12", "15", "PERSON", "Maqbool Fida Husain" ] } ], [ { "head": [ "19", "22", "PERSON", "M F Husain" ], "tail": [ "25", "26", "DATE", "1915" ] } ], [ { "head": [ "19", "22", "PERSON", "M F Husain" ], "tail": [ "27", "28", "GPE", "Pandharpur" ] } ], [ { "head": [ "19", "22", "PERSON", "M F Husain" ], "tail": [ "29", "30", "GPE", "Maharashtra" ] } ], [ { "head": [ "19", "22", "PERSON", "M F Husain" ], "tail": [ "34", "37", "ORG", "Indore Art Co" ] } ], [ { "head": [ "19", "22", "PERSON", "M F Husain" ], "tail": [ "52", "57", "WORK_OF_ART", "Images of Raj - II" ] } ], [ { "head": [ "19", "22", "PERSON", "M F Husain" ], "tail": [ "67", "68", "CARDINAL", "500" ] } ], [ { "head": [ "19", "22", "PERSON", "M F Husain" ], "tail": [ "73", "77", "QUANTITY", "14 x 20 inches" ] } ], [ { "head": [ "19", "22", "PERSON", "M F Husain" ], "tail": [ "81", "85", "QUANTITY", "12 x 17 inches" ] } ], [ { "head": [ "25", "26", "DATE", "1915" ], "tail": [ "12", "15", "PERSON", "Maqbool Fida Husain" ] } ], [ { "head": [ "25", "26", "DATE", "1915" ], "tail": [ "19", "22", "PERSON", "M F Husain" ] } ], [ { "head": [ "25", "26", "DATE", "1915" ], "tail": [ "27", "28", "GPE", "Pandharpur" ] } ], [ { "head": [ "25", "26", "DATE", "1915" ], "tail": [ "29", "30", "GPE", "Maharashtra" ] } ], [ { "head": [ "25", "26", "DATE", "1915" ], "tail": [ "34", "37", "ORG", "Indore Art Co" ] } ], [ { "head": [ "27", "28", "GPE", "Pandharpur" ], "tail": [ "12", "15", "PERSON", "Maqbool Fida Husain" ] } ], [ { "head": [ "27", "28", "GPE", "Pandharpur" ], "tail": [ "19", "22", "PERSON", "M F Husain" ] } ], [ { "head": [ "27", "28", "GPE", "Pandharpur" ], "tail": [ "25", "26", "DATE", "1915" ] } ], [ { "head": [ "27", "28", "GPE", "Pandharpur" ], "tail": [ "29", "30", "GPE", "Maharashtra" ] } ], [ { "head": [ "27", "28", "GPE", "Pandharpur" ], "tail": [ "34", "37", "ORG", "Indore Art Co" ] } ], [ { "head": [ "27", "28", "GPE", "Pandharpur" ], "tail": [ "52", "57", "WORK_OF_ART", "Images of Raj - II" ] } ], [ { "head": [ "27", "28", "GPE", "Pandharpur" ], "tail": [ "67", "68", "CARDINAL", "500" ] } ], [ { "head": [ "27", "28", "GPE", "Pandharpur" ], "tail": [ "73", "77", "QUANTITY", "14 x 20 inches" ] } ], [ { "head": [ "27", "28", "GPE", "Pandharpur" ], "tail": [ "81", "85", "QUANTITY", "12 x 17 inches" ] } ], [ { "head": [ "29", "30", "GPE", "Maharashtra" ], "tail": [ "12", "15", "PERSON", "Maqbool Fida Husain" ] } ], [ { "head": [ "29", "30", "GPE", "Maharashtra" ], "tail": [ "19", "22", "PERSON", "M F Husain" ] } ], [ { "head": [ "29", "30", "GPE", "Maharashtra" ], "tail": [ "25", "26", "DATE", "1915" ] } ], [ { "head": [ "29", "30", "GPE", "Maharashtra" ], "tail": [ "27", "28", "GPE", "Pandharpur" ] } ], [ { "head": [ "29", "30", "GPE", "Maharashtra" ], "tail": [ "34", "37", "ORG", "Indore Art Co" ] } ], [ { "head": [ "29", "30", "GPE", "Maharashtra" ], "tail": [ "52", "57", "WORK_OF_ART", "Images of Raj - II" ] } ], [ { "head": [ "29", "30", "GPE", "Maharashtra" ], "tail": [ "67", "68", "CARDINAL", "500" ] } ], [ { "head": [ "29", "30", "GPE", "Maharashtra" ], "tail": [ "73", "77", "QUANTITY", "14 x 20 inches" ] } ], [ { "head": [ "29", "30", "GPE", "Maharashtra" ], "tail": [ "81", "85", "QUANTITY", "12 x 17 inches" ] } ], [ { "head": [ "34", "37", "ORG", "Indore Art Co" ], "tail": [ "12", "15", "PERSON", "Maqbool Fida Husain" ] } ], [ { "head": [ "34", "37", "ORG", "Indore Art Co" ], "tail": [ "19", "22", "PERSON", "M F Husain" ] } ], [ { "head": [ "34", "37", "ORG", "Indore Art Co" ], "tail": [ "25", "26", "DATE", "1915" ] } ], [ { "head": [ "34", "37", "ORG", "Indore Art Co" ], "tail": [ "27", "28", "GPE", "Pandharpur" ] } ], [ { "head": [ "34", "37", "ORG", "Indore Art Co" ], "tail": [ "29", "30", "GPE", "Maharashtra" ] } ], [ { "head": [ "34", "37", "ORG", "Indore Art Co" ], "tail": [ "52", "57", "WORK_OF_ART", "Images of Raj - II" ] } ], [ { "head": [ "34", "37", "ORG", "Indore Art Co" ], "tail": [ "67", "68", "CARDINAL", "500" ] } ], [ { "head": [ "34", "37", "ORG", "Indore Art Co" ], "tail": [ "73", "77", "QUANTITY", "14 x 20 inches" ] } ], [ { "head": [ "34", "37", "ORG", "Indore Art Co" ], "tail": [ "81", "85", "QUANTITY", "12 x 17 inches" ] } ], [ { "head": [ "52", "57", "WORK_OF_ART", "Images of Raj - II" ], "tail": [ "12", "15", "PERSON", "Maqbool Fida Husain" ] } ], [ { "head": [ "52", "57", "WORK_OF_ART", "Images of Raj - II" ], "tail": [ "19", "22", "PERSON", "M F Husain" ] } ], [ { "head": [ "52", "57", "WORK_OF_ART", "Images of Raj - II" ], "tail": [ "27", "28", "GPE", "Pandharpur" ] } ], [ { "head": [ "52", "57", "WORK_OF_ART", "Images of Raj - II" ], "tail": [ "29", "30", "GPE", "Maharashtra" ] } ], [ { "head": [ "52", "57", "WORK_OF_ART", "Images of Raj - II" ], "tail": [ "34", "37", "ORG", "Indore Art Co" ] } ], [ { "head": [ "67", "68", "CARDINAL", "500" ], "tail": [ "12", "15", "PERSON", "Maqbool Fida Husain" ] } ], [ { "head": [ "67", "68", "CARDINAL", "500" ], "tail": [ "19", "22", "PERSON", "M F Husain" ] } ], [ { "head": [ "67", "68", "CARDINAL", "500" ], "tail": [ "27", "28", "GPE", "Pandharpur" ] } ], [ { "head": [ "67", "68", "CARDINAL", "500" ], "tail": [ "29", "30", "GPE", "Maharashtra" ] } ], [ { "head": [ "67", "68", "CARDINAL", "500" ], "tail": [ "34", "37", "ORG", "Indore Art Co" ] } ], [ { "head": [ "73", "77", "QUANTITY", "14 x 20 inches" ], "tail": [ "12", "15", "PERSON", "Maqbool Fida Husain" ] } ], [ { "head": [ "73", "77", "QUANTITY", "14 x 20 inches" ], "tail": [ "19", "22", "PERSON", "M F Husain" ] } ], [ { "head": [ "73", "77", "QUANTITY", "14 x 20 inches" ], "tail": [ "27", "28", "GPE", "Pandharpur" ] } ], [ { "head": [ "73", "77", "QUANTITY", "14 x 20 inches" ], "tail": [ "29", "30", "GPE", "Maharashtra" ] } ], [ { "head": [ "73", "77", "QUANTITY", "14 x 20 inches" ], "tail": [ "34", "37", "ORG", "Indore Art Co" ] } ], [ { "head": [ "81", "85", "QUANTITY", "12 x 17 inches" ], "tail": [ "12", "15", "PERSON", "Maqbool Fida Husain" ] } ], [ { "head": [ "81", "85", "QUANTITY", "12 x 17 inches" ], "tail": [ "19", "22", "PERSON", "M F Husain" ] } ], [ { "head": [ "81", "85", "QUANTITY", "12 x 17 inches" ], "tail": [ "27", "28", "GPE", "Pandharpur" ] } ], [ { "head": [ "81", "85", "QUANTITY", "12 x 17 inches" ], "tail": [ "29", "30", "GPE", "Maharashtra" ] } ], [ { "head": [ "81", "85", "QUANTITY", "12 x 17 inches" ], "tail": [ "34", "37", "ORG", "Indore Art Co" ] } ] ]
[ " SAME_AS", " BORN_IN_YEAR", " BORN_IN.", " BORN_IN.", " STUDIED_AT", " CREATED_BY", " PUBLISHED_IN_EDITION", " SIZE_OF\n\n Explanation:\n The text states that the paper", " SIZE_OF\n\n Explanation:\n The text states that the image", " IS_NAME_OF", " BORN_IN_YEAR", " BORN_IN", " BORN_IN", " STUDIED_AT", " CREATED_BY", " PUBLISHED_IN_EDITION", " SIZE_OF\n\n Explanation:\n The text states that the paper", " SIZE_OF\n\n Explanation:\n The text states that the image", " BORN_IN.", " BORN_IN.", " BORN_IN", " BORN_IN", " STUDIED_AT", " BORN_IN", " BORN_IN.", " BORN_IN.", " LOCATION_IN.", " STUDIED_AT", " PRODUCED_BY", " PLACE_OF_PUBLICATION", " SIZE_OF\n\n Explanation:\n The text mentions that the", " SIZE_OF\n\n Explanation:\n The text mentions that the", " BORN_IN.", " BORN_IN.", " LOCATION_OF_BIRTH", " LOCATION_OF\n Or\n BIRTH_PLACE_OF\n", " LOCATION_OF\n or\n STUDIED_AT", " PUBLISHED_IN", " PUBLISHED_IN", " SIZE_OF\n\n Explanation:\n The text states that the paper", " SIZE_OF\n\n Explanation:\n The text mentions that the", " STUDIED_AT", " STUDIED_AT", " EDUCATED_AT", " EDUCATED_AT", " LOCATION_OF\n Or, if you prefer:\n The relation is '", " PUBLISHED_BY", " PUBLISHED_IN_EDITION", " PUBLISHED_SIZE_OF\n\n Explanation:\n The", " SIZE_OF\n\n Explanation:\n The text mentions that the", " CREATED_BY", " CREATED_BY", " PRODUCED_IN.", " PROVINCE_OF\n\n Explanation:\n The text mentions", " PUBLISHED_BY", " PUBLISHED_IN_EDITION", " PUBLISHED_IN_EDITION", " PUBLISHED_IN", " PUBLISHED_IN", " PUBLISHED_BY", " SIZE_OF\n\n Explanation:\n The text states that the paper", " CREATED_BY_SIZE \n or\n PRODUCED_SIZE", " SIZE_OF\n\n Explanation:\n The text mentions that the", " LOCATION_OF_PRODUCTION", " PUBLISHED_AT.\n\n Explanation:\n The text", " CREATED_BY", " CREATED_WORK_OF\n\n Explanation:\n The text ment", " BORN_IN.", " LOCATION_OF_ORIGIN", " STUDIED_AT" ]
[ [ "12", "15", "PERSON", "Maqbool Fida Husain" ], [ "19", "22", "PERSON", "M F Husain" ], [ "25", "26", "DATE", "1915" ], [ "27", "28", "GPE", "Pandharpur" ], [ "29", "30", "GPE", "Maharashtra" ], [ "34", "37", "ORG", "Indore Art Co" ], [ "52", "57", "WORK_OF_ART", "Images of Raj - II" ], [ "67", "68", "CARDINAL", "500" ], [ "73", "77", "QUANTITY", "14 x 20 inches" ], [ "81", "85", "QUANTITY", "12 x 17 inches" ] ]
695
697
[ "I imagine we’re a bit of a nightmare as a client because we pick and choose wood from all over France. BFL have always managed to get everything we ordered and never complained once!\nRod | Te Awanga Estate.\nBouchard Cooperages highly recommends working with BFL for finance of new wine barrels and other similar products. We’ve been working with BFL for more than 10 years, they understand the barrel purchasing process, the unique specifications of barrel orders, and most importantly, the timely nature of the industry.\nAmber | Bouchard Cooperages." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['I imagine we’re a bit of a nightmare as a client because we pick and choose wood from all over France. BFL have always managed to get everything we ordered and never complained once!\nRod | Te Awanga Estate.\nBouchard Cooperages highly recommends working with BFL for finance of new wine barrels and other similar products. We’ve been working with BFL for more than 10 years, they understand the barrel purchasing process, the unique specifications of barrel orders, and most importantly, the timely nature of the industry.\nAmber | Bouchard Cooperages.'] Entities: [{'head': ['21', '22', 'GPE', 'France'], 'tail': ['23', '24', 'ORG', 'BFL']}] Relation:
[ [ { "head": [ "21", "22", "GPE", "France" ], "tail": [ "23", "24", "ORG", "BFL" ] } ], [ { "head": [ "21", "22", "GPE", "France" ], "tail": [ "38", "39", "PERSON", "Rod" ] } ], [ { "head": [ "21", "22", "GPE", "France" ], "tail": [ "40", "43", "ORG", "Te Awanga Estate" ] } ], [ { "head": [ "21", "22", "GPE", "France" ], "tail": [ "45", "47", "ORG", "Bouchard Cooperages" ] } ], [ { "head": [ "21", "22", "GPE", "France" ], "tail": [ "51", "52", "ORG", "BFL" ] } ], [ { "head": [ "21", "22", "GPE", "France" ], "tail": [ "68", "69", "ORG", "BFL" ] } ], [ { "head": [ "21", "22", "GPE", "France" ], "tail": [ "70", "74", "DATE", "more than 10 years" ] } ], [ { "head": [ "21", "22", "GPE", "France" ], "tail": [ "101", "102", "PERSON", "Amber" ] } ], [ { "head": [ "21", "22", "GPE", "France" ], "tail": [ "103", "105", "ORG", "Bouchard Cooperages" ] } ], [ { "head": [ "23", "24", "ORG", "BFL" ], "tail": [ "21", "22", "GPE", "France" ] } ], [ { "head": [ "23", "24", "ORG", "BFL" ], "tail": [ "38", "39", "PERSON", "Rod" ] } ], [ { "head": [ "23", "24", "ORG", "BFL" ], "tail": [ "40", "43", "ORG", "Te Awanga Estate" ] } ], [ { "head": [ "23", "24", "ORG", "BFL" ], "tail": [ "45", "47", "ORG", "Bouchard Cooperages" ] } ], [ { "head": [ "23", "24", "ORG", "BFL" ], "tail": [ "51", "52", "ORG", "BFL" ] } ], [ { "head": [ "23", "24", "ORG", "BFL" ], "tail": [ "68", "69", "ORG", "BFL" ] } ], [ { "head": [ "23", "24", "ORG", "BFL" ], "tail": [ "70", "74", "DATE", "more than 10 years" ] } ], [ { "head": [ "23", "24", "ORG", "BFL" ], "tail": [ "101", "102", "PERSON", "Amber" ] } ], [ { "head": [ "23", "24", "ORG", "BFL" ], "tail": [ "103", "105", "ORG", "Bouchard Cooperages" ] } ], [ { "head": [ "38", "39", "PERSON", "Rod" ], "tail": [ "21", "22", "GPE", "France" ] } ], [ { "head": [ "38", "39", "PERSON", "Rod" ], "tail": [ "23", "24", "ORG", "BFL" ] } ], [ { "head": [ "38", "39", "PERSON", "Rod" ], "tail": [ "40", "43", "ORG", "Te Awanga Estate" ] } ], [ { "head": [ "38", "39", "PERSON", "Rod" ], "tail": [ "45", "47", "ORG", "Bouchard Cooperages" ] } ], [ { "head": [ "38", "39", "PERSON", "Rod" ], "tail": [ "51", "52", "ORG", "BFL" ] } ], [ { "head": [ "38", "39", "PERSON", "Rod" ], "tail": [ "68", "69", "ORG", "BFL" ] } ], [ { "head": [ "38", "39", "PERSON", "Rod" ], "tail": [ "70", "74", "DATE", "more than 10 years" ] } ], [ { "head": [ "38", "39", "PERSON", "Rod" ], "tail": [ "101", "102", "PERSON", "Amber" ] } ], [ { "head": [ "38", "39", "PERSON", "Rod" ], "tail": [ "103", "105", "ORG", "Bouchard Cooperages" ] } ], [ { "head": [ "40", "43", "ORG", "Te Awanga Estate" ], "tail": [ "21", "22", "GPE", "France" ] } ], [ { "head": [ "40", "43", "ORG", "Te Awanga Estate" ], "tail": [ "23", "24", "ORG", "BFL" ] } ], [ { "head": [ "40", "43", "ORG", "Te Awanga Estate" ], "tail": [ "38", "39", "PERSON", "Rod" ] } ], [ { "head": [ "40", "43", "ORG", "Te Awanga Estate" ], "tail": [ "45", "47", "ORG", "Bouchard Cooperages" ] } ], [ { "head": [ "40", "43", "ORG", "Te Awanga Estate" ], "tail": [ "51", "52", "ORG", "BFL" ] } ], [ { "head": [ "40", "43", "ORG", "Te Awanga Estate" ], "tail": [ "68", "69", "ORG", "BFL" ] } ], [ { "head": [ "40", "43", "ORG", "Te Awanga Estate" ], "tail": [ "70", "74", "DATE", "more than 10 years" ] } ], [ { "head": [ "40", "43", "ORG", "Te Awanga Estate" ], "tail": [ "101", "102", "PERSON", "Amber" ] } ], [ { "head": [ "40", "43", "ORG", "Te Awanga Estate" ], "tail": [ "103", "105", "ORG", "Bouchard Cooperages" ] } ], [ { "head": [ "45", "47", "ORG", "Bouchard Cooperages" ], "tail": [ "21", "22", "GPE", "France" ] } ], [ { "head": [ "45", "47", "ORG", "Bouchard Cooperages" ], "tail": [ "23", "24", "ORG", "BFL" ] } ], [ { "head": [ "45", "47", "ORG", "Bouchard Cooperages" ], "tail": [ "38", "39", "PERSON", "Rod" ] } ], [ { "head": [ "45", "47", "ORG", "Bouchard Cooperages" ], "tail": [ "40", "43", "ORG", "Te Awanga Estate" ] } ], [ { "head": [ "45", "47", "ORG", "Bouchard Cooperages" ], "tail": [ "51", "52", "ORG", "BFL" ] } ], [ { "head": [ "45", "47", "ORG", "Bouchard Cooperages" ], "tail": [ "68", "69", "ORG", "BFL" ] } ], [ { "head": [ "45", "47", "ORG", "Bouchard Cooperages" ], "tail": [ "70", "74", "DATE", "more than 10 years" ] } ], [ { "head": [ "45", "47", "ORG", "Bouchard Cooperages" ], "tail": [ "101", "102", "PERSON", "Amber" ] } ], [ { "head": [ "45", "47", "ORG", "Bouchard Cooperages" ], "tail": [ "103", "105", "ORG", "Bouchard Cooperages" ] } ], [ { "head": [ "51", "52", "ORG", "BFL" ], "tail": [ "21", "22", "GPE", "France" ] } ], [ { "head": [ "51", "52", "ORG", "BFL" ], "tail": [ "23", "24", "ORG", "BFL" ] } ], [ { "head": [ "51", "52", "ORG", "BFL" ], "tail": [ "38", "39", "PERSON", "Rod" ] } ], [ { "head": [ "51", "52", "ORG", "BFL" ], "tail": [ "40", "43", "ORG", "Te Awanga Estate" ] } ], [ { "head": [ "51", "52", "ORG", "BFL" ], "tail": [ "45", "47", "ORG", "Bouchard Cooperages" ] } ], [ { "head": [ "51", "52", "ORG", "BFL" ], "tail": [ "68", "69", "ORG", "BFL" ] } ], [ { "head": [ "51", "52", "ORG", "BFL" ], "tail": [ "70", "74", "DATE", "more than 10 years" ] } ], [ { "head": [ "51", "52", "ORG", "BFL" ], "tail": [ "101", "102", "PERSON", "Amber" ] } ], [ { "head": [ "51", "52", "ORG", "BFL" ], "tail": [ "103", "105", "ORG", "Bouchard Cooperages" ] } ], [ { "head": [ "68", "69", "ORG", "BFL" ], "tail": [ "21", "22", "GPE", "France" ] } ], [ { "head": [ "68", "69", "ORG", "BFL" ], "tail": [ "23", "24", "ORG", "BFL" ] } ], [ { "head": [ "68", "69", "ORG", "BFL" ], "tail": [ "38", "39", "PERSON", "Rod" ] } ], [ { "head": [ "68", "69", "ORG", "BFL" ], "tail": [ "40", "43", "ORG", "Te Awanga Estate" ] } ], [ { "head": [ "68", "69", "ORG", "BFL" ], "tail": [ "45", "47", "ORG", "Bouchard Cooperages" ] } ], [ { "head": [ "68", "69", "ORG", "BFL" ], "tail": [ "51", "52", "ORG", "BFL" ] } ], [ { "head": [ "68", "69", "ORG", "BFL" ], "tail": [ "70", "74", "DATE", "more than 10 years" ] } ], [ { "head": [ "68", "69", "ORG", "BFL" ], "tail": [ "101", "102", "PERSON", "Amber" ] } ], [ { "head": [ "68", "69", "ORG", "BFL" ], "tail": [ "103", "105", "ORG", "Bouchard Cooperages" ] } ], [ { "head": [ "70", "74", "DATE", "more than 10 years" ], "tail": [ "21", "22", "GPE", "France" ] } ], [ { "head": [ "70", "74", "DATE", "more than 10 years" ], "tail": [ "23", "24", "ORG", "BFL" ] } ], [ { "head": [ "70", "74", "DATE", "more than 10 years" ], "tail": [ "38", "39", "PERSON", "Rod" ] } ], [ { "head": [ "70", "74", "DATE", "more than 10 years" ], "tail": [ "40", "43", "ORG", "Te Awanga Estate" ] } ], [ { "head": [ "70", "74", "DATE", "more than 10 years" ], "tail": [ "45", "47", "ORG", "Bouchard Cooperages" ] } ], [ { "head": [ "70", "74", "DATE", "more than 10 years" ], "tail": [ "51", "52", "ORG", "BFL" ] } ], [ { "head": [ "70", "74", "DATE", "more than 10 years" ], "tail": [ "68", "69", "ORG", "BFL" ] } ], [ { "head": [ "70", "74", "DATE", "more than 10 years" ], "tail": [ "101", "102", "PERSON", "Amber" ] } ], [ { "head": [ "70", "74", "DATE", "more than 10 years" ], "tail": [ "103", "105", "ORG", "Bouchard Cooperages" ] } ], [ { "head": [ "101", "102", "PERSON", "Amber" ], "tail": [ "21", "22", "GPE", "France" ] } ], [ { "head": [ "101", "102", "PERSON", "Amber" ], "tail": [ "23", "24", "ORG", "BFL" ] } ], [ { "head": [ "101", "102", "PERSON", "Amber" ], "tail": [ "38", "39", "PERSON", "Rod" ] } ], [ { "head": [ "101", "102", "PERSON", "Amber" ], "tail": [ "40", "43", "ORG", "Te Awanga Estate" ] } ], [ { "head": [ "101", "102", "PERSON", "Amber" ], "tail": [ "45", "47", "ORG", "Bouchard Cooperages" ] } ], [ { "head": [ "101", "102", "PERSON", "Amber" ], "tail": [ "51", "52", "ORG", "BFL" ] } ], [ { "head": [ "101", "102", "PERSON", "Amber" ], "tail": [ "68", "69", "ORG", "BFL" ] } ], [ { "head": [ "101", "102", "PERSON", "Amber" ], "tail": [ "70", "74", "DATE", "more than 10 years" ] } ], [ { "head": [ "101", "102", "PERSON", "Amber" ], "tail": [ "103", "105", "ORG", "Bouchard Cooperages" ] } ], [ { "head": [ "103", "105", "ORG", "Bouchard Cooperages" ], "tail": [ "21", "22", "GPE", "France" ] } ], [ { "head": [ "103", "105", "ORG", "Bouchard Cooperages" ], "tail": [ "23", "24", "ORG", "BFL" ] } ], [ { "head": [ "103", "105", "ORG", "Bouchard Cooperages" ], "tail": [ "38", "39", "PERSON", "Rod" ] } ], [ { "head": [ "103", "105", "ORG", "Bouchard Cooperages" ], "tail": [ "40", "43", "ORG", "Te Awanga Estate" ] } ], [ { "head": [ "103", "105", "ORG", "Bouchard Cooperages" ], "tail": [ "45", "47", "ORG", "Bouchard Cooperages" ] } ], [ { "head": [ "103", "105", "ORG", "Bouchard Cooperages" ], "tail": [ "51", "52", "ORG", "BFL" ] } ], [ { "head": [ "103", "105", "ORG", "Bouchard Cooperages" ], "tail": [ "68", "69", "ORG", "BFL" ] } ], [ { "head": [ "103", "105", "ORG", "Bouchard Cooperages" ], "tail": [ "70", "74", "DATE", "more than 10 years" ] } ], [ { "head": [ "103", "105", "ORG", "Bouchard Cooperages" ], "tail": [ "101", "102", "PERSON", "Amber" ] } ] ]
[ " SOURCE_LOCATION", " PROVENANCE_FROM", " sourced_from", " PRODUCES_FROM", " SOURCE_LOCATION", " SOURCE_LOCATION", " PRODUCES_FROM", " COUNTRY_OF_ORIGIN", " PRODUCES_FROM", " IMPORTS_FROM", " CLIENT_OF", " CLIENT_OF", " RECOMMENDS", " CLIENT_OF", " CLIENT_OF", " WORKED_WITH", " RECOMMENDS", " RECOMMENDS", " SOURCE_LOCATION", " CLIENT_OF", " CLIENT_OF", " CLIENT_OF", " CLIENT_OF", " CLIENT_OF", " CLIENT_OF\n # This model is a relation extractor, not a text", " CLIENT_OF", " CLIENT_OF", " IMPORTS_FROM", " CLIENT_OF", " OWNER. The entities represent an estate and its owner. The estate is the head entity", " CLIENT_OF", " CLIENT_OF", " CLIENT_OF", " WORKED_WITH", " RECOMMENDS", " CLIENT_OF", " SOURCE_LOCATION", " RECOMMENDS", " RECOMMENDS", " RECOMMENDS", " RECOMMENDS", " RECOMMENDS", " WORKED_WITH", " RECOMMENDS", " RECOMMENDS", " IMPORTS_FROM", " CLIENT_OF", " CLIENT_OF", " CLIENT_OF", " RECOMMENDS", " CLIENT_OF", " WORKED_FOR\n or\n HAS_BEEN_WORKING_", " RECOMMENDS", " RECOMMENDS", " IMPORTS_FROM", " CLIENT_OF", " CLIENT_OF", " CLIENT_OF", " RECOMMENDS", " CLIENT_OF", " WORKED_FOR\n or\n HAS_BEEN_WORKING_", " RECOMMENDS", " RECOMMENDS", " PRODUCES_IN.", " WORKED_FOR\n or\n CLIENT_OF", " WORKED_FOR\n\n Explanation:\n The text states that B", " WORKED_FOR\n Or, if you prefer, CLIENT_OF.", " WORKED_FOR\n or\n HAS_WORKED_FOR\n\n", " WORKED_FOR\n or\n HAS_CLIENT\n or\n ", " WORKED_FOR\n or\n CLIENT_OF", " WORKED_WITH", " WORKED_FOR\n or\n HAS_WORKED_FOR\n\n", " PROVENANCE_FROM", " WORKS_FOR.", " WORKED_WITH", " WORKS_FOR\n\n Explanation:\n Amber works for Te", " RECOMMENDS", " CLIENT_OF", " CLIENT_OF", " WORKED_FOR\n or\n HAS_BEEN_WORKING_", " RECOMMENDS", " SOURCE_LOCATION", " RECOMMENDS", " RECOMMENDS", " RECOMMENDS", " RECOMMENDS", " RECOMMENDS", " RECOMMENDS", " WORKED_FOR_MORE_THAN\n\n Explanation:\n", " RECOMMENDS" ]
[ [ "21", "22", "GPE", "France" ], [ "23", "24", "ORG", "BFL" ], [ "38", "39", "PERSON", "Rod" ], [ "40", "43", "ORG", "Te Awanga Estate" ], [ "45", "47", "ORG", "Bouchard Cooperages" ], [ "51", "52", "ORG", "BFL" ], [ "68", "69", "ORG", "BFL" ], [ "70", "74", "DATE", "more than 10 years" ], [ "101", "102", "PERSON", "Amber" ], [ "103", "105", "ORG", "Bouchard Cooperages" ] ]
696
698
[ "What are people saying about us..\nAaron - Amazon Review 01/2020\nIts the best, clean label protein bar I've found. The new packaging is much easier to open (THANK YOU) and the bar is my go to protein/breakfast! AWESOME BAR!\nAmazon Review 07/2019\nThe Bia bar is delicious! My favorite is the peanut butter fudge but they are all tasty! This bar is high in protein, flavorful, and gluten free! Very filling and satisfying!" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ["What are people saying about us..\nAaron - Amazon Review 01/2020\nIts the best, clean label protein bar I've found. The new packaging is much easier to open (THANK YOU) and the bar is my go to protein/breakfast! AWESOME BAR!\nAmazon Review 07/2019\nThe Bia bar is delicious! My favorite is the peanut butter fudge but they are all tasty! This bar is high in protein, flavorful, and gluten free! Very filling and satisfying!"] Entities: [{'head': ['8', '9', 'PERSON', 'Aaron'], 'tail': ['12', '13', 'DATE', '01/2020']}] Relation:
[ [ { "head": [ "8", "9", "PERSON", "Aaron" ], "tail": [ "12", "13", "DATE", "01/2020" ] } ], [ { "head": [ "8", "9", "PERSON", "Aaron" ], "tail": [ "55", "56", "DATE", "07/2019" ] } ], [ { "head": [ "8", "9", "PERSON", "Aaron" ], "tail": [ "58", "59", "PRODUCT", "Bia" ] } ], [ { "head": [ "12", "13", "DATE", "01/2020" ], "tail": [ "8", "9", "PERSON", "Aaron" ] } ], [ { "head": [ "55", "56", "DATE", "07/2019" ], "tail": [ "8", "9", "PERSON", "Aaron" ] } ], [ { "head": [ "58", "59", "PRODUCT", "Bia" ], "tail": [ "8", "9", "PERSON", "Aaron" ] } ] ]
[ " WROTE_REVIEW", " WROTE_REVIEW", " REVIEWER_OF", " WRITTEN_REVIEW", " WROTE_REVIEW", " REVIEWER_OF" ]
[ [ "8", "9", "PERSON", "Aaron" ], [ "12", "13", "DATE", "01/2020" ], [ "55", "56", "DATE", "07/2019" ], [ "58", "59", "PRODUCT", "Bia" ] ]
697
699
[ "Login to BlackFacts.com using your favorite Social Media Login. Click the appropriate button below and you will be redirected to your Social Media Website for confirmation and then back to Blackfacts.com once successful.\nEnter the email address and password you used to join BlackFacts.com. If you cannot remember your login information, click the “Forgot Password” link to reset your password.\nABOVE: Congresswoman Sheila Jackson Lee (left) and State Sen. John Whitmire (right) are vying to…\nThe post Early Voting Begins In Runoff appeared first on Forward Times." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Login to BlackFacts.com using your favorite Social Media Login. Click the appropriate button below and you will be redirected to your Social Media Website for confirmation and then back to Blackfacts.com once successful.\nEnter the email address and password you used to join BlackFacts.com. If you cannot remember your login information, click the “Forgot Password” link to reset your password.\nABOVE: Congresswoman Sheila Jackson Lee (left) and State Sen. John Whitmire (right) are vying to…\nThe post Early Voting Begins In Runoff appeared first on Forward Times.'] Entities: [{'head': ['2', '3', 'ORG', 'BlackFacts.com'], 'tail': ['31', '32', 'ORG', 'Blackfacts.com']}] Relation:
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698
700
[ "February 12, 2024\nBoston IVF offers monthly Q&A sessions to answer your questions!\nFebruary 11, 2024\nBoston IVF is pleased to announce the addition of reproductive endocrinologist, Dr. Meaghan Delaney, MD to its new fertility center in Springfield, MA.\nThe physicians at Boston IVF are affiliated with The Beth Israel Deaconess Medical Center and Harvard University's School of Medicine.\nWe look forward to speaking with you, and will be in touch as soon as possible!" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ["February 12, 2024\nBoston IVF offers monthly Q&A sessions to answer your questions!\nFebruary 11, 2024\nBoston IVF is pleased to announce the addition of reproductive endocrinologist, Dr. Meaghan Delaney, MD to its new fertility center in Springfield, MA.\nThe physicians at Boston IVF are affiliated with The Beth Israel Deaconess Medical Center and Harvard University's School of Medicine.\nWe look forward to speaking with you, and will be in touch as soon as possible!"] Entities: [{'head': ['0', '4', 'DATE', 'February 12, 2024'], 'tail': ['5', '7', 'ORG', 'Boston IVF']}] Relation:
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699