Datasets:

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zsre_grow

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[ "Darcy's Puppies Are HERE!\nDarcy & Rocket's Toy AUSTRALIAN SHEPHERD puppies arrived\nlate afternoon on the morning of February 3, 2024.\nShe had 1 girl and 3 boys!\nThese puppies are expected to mature to 10-15lbs and\nwill be ready to go as of March 30th.\nDarcy's waitlist is open!\nClick here to submit your application!\nClick on each puppy's picture below to view their profile.\nMORE group pictures and video below." ]

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[ " SELF_REFERENCE", " ARRIVED_AT", " ARRIVED_AT", " ARRIVED_AT_TIME", " ARRIVED_AT_TIME", " WEIGHT_OF\n\n Explanation:\n The text states that Darcy", " READY_DATE", " OWNER", " SELF_REFERENCE", " ARRIVED_AT", " ARRIVED_AT", " EXPECTED_ARRIVAL_DATE", " ARRIVED_AT_TIME", " WEIGHT_MATURITY_RANGE", " READY_DATE", " OWNER", " ARRIVED_AT", " ARRIVED_AT", " ARRIVED_AT", " ARRIVED_AT", " ARRIVED_AT", " ARRIVED_AT", " ARRIVED_AT", " ARRIVED_AT", " ARRIVED_AT", " ARRIVED_AT", " ARRIVED_AT", " ARRIVED_AT", " WEIGHT_OF\n OR\n HAS_WEIGHT_RANGE\n OR", " WEIGHT_OF\n OR\n EXPECTED_TO_MATURATE_TO", " WEIGHT_OF\n OR size_of\n OR matures_to\n ", " READY_FOR_ADOPTION", " READY_FOR_ADOPTION", " READY_FOR_ADOPTION", " SELF_REFERENCE", " SELF_REFERENCE", " ARRIVED_AT", " ARRIVED_AT", " HAD_CHILDREN", " ARRIVED_AT", " WEIGHT_OF\n\n Explanation:\n The text states that Darcy", " READY_FOR_ADOPTION" ]

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[ "4 May 2023\nThe new Men Skin Care Collection by Antica Barbieria Colla was presented in the historic shop in via Gerolamo Morone... Read more »\nClicca per accedere all'archivio\nKeep up to date with the latest news from Antica Barbieria Colla and get exclusive promotions directly in your inbox\nSign up now and get 20% off your first purchase!\nread the policies" ]

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[ " PRESENTED_BY", " LOCATION_AT. The entities represent a date and a location, so the relation is", " PRESENTED_BY", " PRESENTED_ON.", " PRESENTED_AT", " SELF_REFERENCE", " OFFERS\n\n Explanation:\n Antica Barbieria Colla offers", " PROVIDES_DISCOUNT", " LOCATION_AT. The 'Gerolamo Morone' street is the location", " LOCATED_AT", " LOCATED_AT", " LOCATION_OF\n or\n PROMOCODE_FOR\n or\n", " The historic shop in via Gerolamo Morone is the location for the first presentation of the", " PRESENTED_ON", " SELF_REFERENCE", " PRESENTED_AT", " OFFERS\n\n Explanation:\n The text mentions that Antica Barb", " OFFERS\n\n Explanation:\n The text mentions that Antica Barb", " DISCOUNTS\n or\n OFFER\n or\n PROMOT", " LOCATED_AT", " DISCOUNT", " COLLECTS_PROMOTIONS_FROM", " LOCATION_IN_REGION", " COLLECTS_PROMOTIONS_FROM" ]

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[ "Tuesday-Thursday, 10 am-6 pm\nFriday-Saturday, 10 am-5 pm\nWhitney Oakley, Anythink Manager\nOpened in May 2009, Anythink Bennett is located at 7th Street and E. Lincoln Avenue in Bennett, Colorado. This energy-efficient library is designed with a Western style that reflects life on the Eastern Plains. With expanded computer labs and community areas, Anythink Bennett has an inviting space for all ages and activities." ]

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[ " MANAGES", " WORKS_FOR", " OPENED_ON.", " OPENED_IN.", " OPENED_IN.", " LOCATED_IN.", " OPENED_ON.", " MANAGES", " WORKS_FOR", " OPENING_HOURS", " OPENED_IN.", " OPENED_IN.", " REFLECTS_LIFE_OF.", " OPENING_HOURS", " OPENED_BY", " WORKS_FOR", " OPENED_ON\n\n Explanation:\n The text states that \"", " OPENED_IN.", " LOCATION", " LOCATION_NEARBY", " OPENED_ON\n\n Explanation:\n The text states that the", " MANAGES", " WORKS_FOR", " OPENING_HOURS", " OPENED_IN.", " OPENED_IN.", " REFERS_TO", " OPENING_HOURS", " MANAGES\n\n Entities: \n [{'head': ['0", " MANAGES_HOURS", " MANAGES\n\n Explanation:\n The text states that Whitney", " MANAGES_HOURS", " MANAGES", " OPENED_ON\n\n Explanation:\n The relation between Whitney", " MANAGES", " LOCATED_AT", " MANAGES", " LOCATED_IN", " MANAGED_BY", " REFLECTS_LIFE_ON.", " MANAGES", " WORKS_ON\n\n Explanation:\n The head entity 'Any", " WORK_HOURS", " OPENED_ON\n\n Explanation:\n The text states that \"", " OPENING_HOURS", " MANAGES", " OPENED_ON.", " MANAGES", " LOCATED_NEAR. This is the reverse of the standard LOCATED_AT", " LOCATED_IN", " LOCATION", " DESCRIBED_BY", " REFERS_TO", " MANAGES", " OPENED", " OPENED_BY\n\n Explanation:\n The text states that \"", " OPENED", " OPENED_IN.", " OPENED_IN.", " OPENED_IN.", " OPENED", " OPENED_ON\n\n Entities: \n [{'head': ['", " OPENING_HOURS", " OPENED_ON\n\n Explanation:\n The text states that the", " OPENING_HOURS", " MANAGED_BY", " MANAGED_BY", " OPENED_IN.", " LOCATED_AT", " LOCATED_IN", " LOCATED_IN", " DESIGNED_WITH_STYLE", " REFERS_TO", " OPENED_IN.", " MANAGES", " MANAGES", " LOCATION", " LOCATED_IN", " LOCATED_IN", " REFERS_TO", " LOCATION", " OPENED_ON\n\n Entities: \n [{'head': ['", " OPENING_HOURS", " OPENED_ON\n\n Explanation:\n The text states that the", " OPENING_HOURS", " MANAGES", " MANAGES", " OPENED_ON", " LOCATED_IN", " LOCATED_ON.", " LOCATION_IN.", " DESCRIBED_BY", " REFERS_TO", " LOCATED_IN", " LOCATED_IN.", " OPENED_AT.\n\n Entities: \n [{'head':", " LOCATED_IN.", " OPENED_AT.\n This library OPENED_AT the given hours.", " LOCATED_IN", " LOCATION_OF", " OPENED_IN.", " LOCATED_IN", " LOCATED_NEAR.", " LOCATED_IN", " REFLECTS_STYLE", " REFERS_TO", " LOCATED_IN", " MANAGED_BY", " MANAGED_BY", " DESCRIBED_BY", " LOCATED_IN", " LOCATED_IN", " REFERS_TO", " DESCRIBED_BY", " LOCATION_IN\n\n Entities: \n [{'head': ['", " OPENED_IN\n\n Entities: \n [{'head': ['", " LOCATION_IN\n\n Explanation:\n The text states that the", " TIME_OF_DAY_FOR_LOCATION", " REFERS_TO", " REFERS_TO", " OPENED_ON.", " LOCATED_IN.", " REFERS_TO", " LOCATION_IN.", " REGION_OF\n\n Explanation:\n The text mentions that Any", " REFERS_TO", " LOCATED_IN.", " OPENED_ON\n\n Entities: \n [{'head': ['", " OPENING_HOURS", " OPENED_ON\n\n Explanation:\n The text states that \"", " OPENING_HOURS", " MANAGED_BY", " MANAGED_BY", " OPENED_ON", " OPENED_IN.", " LOCATED_AT", " LOCATED_IN", " LOCATED_IN", " DESIGNED_WITH_STYLE", " REFERS_TO" ]

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[ "In todays video we talk about retirement projections as well as an interesting strategy that can help reduce death benefits tax.\nIn this video we talk about investment markets tax cuts retirement projections and more !\nAs a new year in financial markets begins, it’s probably fair to observe that for most economic forecasters or market strategists 2023 was a humbling year. This time last year a global recession was imminent, stocks and property would free fall, although China would...\nNow is better than tommorrow. Take some action today and book some time to discuss your financial future.\nThe Super Secret\nThe Super secret uncovers the truth about how to invest succesfully. Nigel clearly and simply explains how to ensure ‘you’ as the investor can take control of your financial future." ]

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"tail": [ "90", "91", "DATE", "Now" ] } ], [ { "head": [ "127", "128", "PERSON", "Nigel" ], "tail": [ "94", "95", "DATE", "tommorrow" ] } ], [ { "head": [ "127", "128", "PERSON", "Nigel" ], "tail": [ "99", "100", "DATE", "today" ] } ], [ { "head": [ "127", "128", "PERSON", "Nigel" ], "tail": [ "111", "114", "PERSON", "The Super Secret" ] } ] ]

[ " NO_RELATION", " DISCOVERS", " SPEAKS_ABOUT", " NO_RELATION", " DISCOVERS", " DISCUES_TOPIC", " NO_RELATION", " DISCOVERS", " SPEAKS_ABOUT", " YEARS_AGO", " DISCOVERED_BY", " SPEAKS_ABOUT", " NO_RELATION", " DISCOVERED_BY", " SPEAKS_ABOUT", " MENTIONED_IN.", " NEW_YEAR_BEGINS_IN. 'China', 'a new year", " MENTIONED_IN_CONTEXT", " YEAR_BEFORE\n\n Explanation:\n The entities represent phrases in", " PAST_EVENT_STARTED_BEFORE", " TIME_PERIOD_STARTS_BEFORE\n\n Explanation:\n", " NO_RELATION", " NO_RELATION", " DISCOVERS", " EXPLAINS", " NO_RELATION", " DISCOVERS", " SPEAKS_ABOUT", " NO_RELATION", " NO_RELATION", " TALKS_ABOUT", " NO_RELATION", " DISCOVERS", " SPEAKS_AT", " DISCOURSE_TOPIC_OF\n\n Explanation:\n The", " NEW_YEAR_BEGINS", " DISCOVERED_IN_YEAR", " TEMPORAL_REFERENCE_TO_EVENT", " REFERENCE_EVENT_YEARS_AGO", " MENTIONED_IN.", " DISCOVERS_AT_TIME", " NO_RELATION", " DISCOVERED_ON", " AUTHOR_OF", " SPEAKS_ON\n\n Entities: \n [{'head': ['", " NEW_YEAR", " DISCUES_YEAR", " YEARS_AGO", " SPEAKS_ABOUT", " NO_RELATION", " DISCUSSION_AT_TIME", " NO_RELATION", " SPEAKS_ON\n\n Entities: \n [{'head': ['", " WRITES_BOOK" ]

[ [ "1", "2", "DATE", "todays" ], [ "40", "43", "DATE", "a new year" ], [ "62", "63", "DATE", "2023" ], [ "64", "67", "DATE", "a humbling year" ], [ "70", "72", "DATE", "last year" ], [ "86", "87", "GPE", "China" ], [ "90", "91", "DATE", "Now" ], [ "94", "95", "DATE", "tommorrow" ], [ "99", "100", "DATE", "today" ], [ "111", "114", "PERSON", "The Super Secret" ], [ "127", "128", "PERSON", "Nigel" ] ]

[ "- Art Funded\n- 16 cm\nThis rare William and Mary tankard and cover of plain cylindrical form has a scroll handle applied with foliage cut-card work with tapering rat to the body. The raised cover has a corkscrew thumbpiece. The tankard is engraved with the Reid coat-of-arms in a baroque cartouche and has the initials TAR, probably those of Thomas A. Reid, its first owner, on the handle. It is one of only about six known examples of Float's work and an important addition to the Laing's collection of local silver.\nThomas Reid; the Mowbray family; by descent." ]

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Reid" ] } ], [ { "head": [ "110", "112", "PERSON", "Thomas Reid" ], "tail": [ "76", "77", "ORDINAL", "first" ] } ], [ { "head": [ "110", "112", "PERSON", "Thomas Reid" ], "tail": [ "85", "86", "CARDINAL", "one" ] } ], [ { "head": [ "110", "112", "PERSON", "Thomas Reid" ], "tail": [ "87", "90", "CARDINAL", "only about six" ] } ], [ { "head": [ "110", "112", "PERSON", "Thomas Reid" ], "tail": [ "93", "94", "ORG", "Float" ] } ], [ { "head": [ "110", "112", "PERSON", "Thomas Reid" ], "tail": [ "102", "103", "ORG", "Laing" ] } ], [ { "head": [ "110", "112", "PERSON", "Thomas Reid" ], "tail": [ "114", "115", "PERSON", "Mowbray" ] } ], [ { "head": [ "114", "115", "PERSON", "Mowbray" ], "tail": [ "0", "5", "PERSON", "- Art Funded\n-" ] } ], [ { "head": [ "114", "115", "PERSON", "Mowbray" ], "tail": [ "5", "7", "QUANTITY", "16 cm" ] } ], [ { "head": [ "114", "115", "PERSON", "Mowbray" ], "tail": [ "10", "13", "ORG", "William and Mary" ] } ], [ { "head": [ "114", "115", "PERSON", "Mowbray" ], "tail": [ "52", "53", "PERSON", "Reid" ] } ], [ { "head": [ "114", "115", "PERSON", "Mowbray" ], "tail": [ "71", "74", "PERSON", "Thomas A. Reid" ] } ], [ { "head": [ "114", "115", "PERSON", "Mowbray" ], "tail": [ "76", "77", "ORDINAL", "first" ] } ], [ { "head": [ "114", "115", "PERSON", "Mowbray" ], "tail": [ "85", "86", "CARDINAL", "one" ] } ], [ { "head": [ "114", "115", "PERSON", "Mowbray" ], "tail": [ "87", "90", "CARDINAL", "only about six" ] } ], [ { "head": [ "114", "115", "PERSON", "Mowbray" ], "tail": [ "93", "94", "ORG", "Float" ] } ], [ { "head": [ "114", "115", "PERSON", "Mowbray" ], "tail": [ "102", "103", "ORG", "Laing" ] } ], [ { "head": [ "114", "115", "PERSON", "Mowbray" ], "tail": [ "110", "112", "PERSON", "Thomas Reid" ] } ] ]

[ " SIZE_OF\n\n [{'head': ['5', '11', '", " CREATED_BY", " OWNED_BY", " OWNED_BY", " OWNED_BY", " FUNDING", " COLLECTED_BY\n or\n NUM_OWNERS\n or", " CREATED_BY", " COLLECTED_BY", " OWNED_BY", " DESCENDANT", " SIZE_OF\n\n Explanation:\n The text states that the tank", " SIZE_OF\n\n Explanation:\n The text states that the tank", " OWNED_BY", " OWNED_BY", " CREATED_BY", " SIZE_OF\n\n Explanation:\n The text states that the tank", " OWNED_BY", " DESCENDANT", " FUNDING", " SIZE_OF\n\n Entities: \n [{'head': ['5", " OWNED_BY", " OWNED_BY", " FIRST_OWNER", " CREATED_BY\n\n Explanation:\n The text states that \"", " EXISTS_IN_SET", " CREATED_BY", " COLLECTOR_OF\n\n Explanation:\n The text states that the", " OWNED_BY", " DESCENDANT", " OWNED_BY", " SIZE_OF\n\n Text: \n [\"- Art Funded\\n", " PRODUCED_BY", " SELF", " OWNED_BY", " OWNED_BY", " SIX_EXAMPLES_OF", " CREATED_BY", " OWNED_BY", " SAME_PERSON", " DESCENDANT", " OWNED_BY", " SIZE_OF\n\n Text: \n [\"- Art Funded\\n", " MADE_BY", " DESCENDANT", " OWNED_BY", " OWNED_BY", " OWNED_BY\n or\n HAS_PROPERTY\n or\n ", " OWNED_BY", " OWNED_BY", " SAME_PERSON", " DESCENDANT", " FIRST_OWNER", " PRODUCED_BY", " OWNED_BY", " OWNED_BY", " CREATED_BY", " DESCENDS_FROM", " OWNED_BY", " DESCENDANT", " OWNED_BY", " CREATED_BY", " OWNED_BY", " OWNED_BY", " CREATED_BY", " DESCENDS_FROM", " OWNED_BY", " DESCENDANT", " PRODUCED_BY", " PRODUCED_BY", " DESCENDANT", " OWNED_BY", " PRODUCED_BY", " COLLECTION_OF", " DESCENDANT", " DESCENDANT", " CREATED_BY", " SIZE_OF\n\n Entities: \n [{'head': ['5", " CREATED_BY", " CREATED_BY", " CREATED_BY", " CREATED_BY", " PRODUCED_BY", " PRODUCED_BY\n\n Explanation:\n The text states that", " CREATED_BY", " CREATED_BY", " DESCENDANT", " COLLECTED_BY", " DESCRIBED_BY", " COLLECTED_BY", " COLLECTOR_OF\n or\n OWNER_OF\n or\n", " OWNED_BY", " COLLECTED_BY", " COLLECTED_BY", " COLLECTION_SIZE", " CREATED_BY", " OWNED_BY", " DESCENDANT", " OWNED_BY", " SIZE_OF\n\n Text: \n [\"- Art Funded\\n", " MADE_FOR", " DESCENDANT", " SAME_AS", " OWNED_BY", " OWNED_BY", " OWNED_BY", " FABRICATOR", " OWNED_BY", " DESCENDANT", " OWNED_BY", " SIZE_OF\n\n Explanation:\n The text states that the tank", " DESCENDANT_OF", " DESCENDANT", " DESCENDANT", " DESCENDANT", " DESCENDANT", " DESCENDANT_OF", " DESCENDS_FROM", " DESCENDS_FROM", " DESCENDANT" ]

[ [ "0", "5", "PERSON", "- Art Funded\n-" ], [ "5", "7", "QUANTITY", "16 cm" ], [ "10", "13", "ORG", "William and Mary" ], [ "52", "53", "PERSON", "Reid" ], [ "71", "74", "PERSON", "Thomas A. Reid" ], [ "76", "77", "ORDINAL", "first" ], [ "85", "86", "CARDINAL", "one" ], [ "87", "90", "CARDINAL", "only about six" ], [ "93", "94", "ORG", "Float" ], [ "102", "103", "ORG", "Laing" ], [ "110", "112", "PERSON", "Thomas Reid" ], [ "114", "115", "PERSON", "Mowbray" ] ]

[ "We are pleased to announce that Michael H. Ginder, PE, LEED AP has passed his exam to become an NFPA Certified Emergency Power System Specialist for Health Care (CEPSS-HC).\nThe National Fire Protection Association created the CEPSS-HC credential in response to the U.S. Centers for Medicare & Medicaid Services (CMS) rulings requiring facilities to develop comprehensive emergency preparedness plans. The credential prepares professionals to keep facilities in compliance with CMS rulings and related NFPA emergency power provisions.\nMike will be able to provide our healthcare clients with the expertise to keep facilities safe and in compliance. Mike was also recently named Barton’s Director of Electrical Engineering – Healthcare. With Mike earning this credential, Barton continues to provide our customers with the best possible solutions through our continuous employee training and education." ]

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[ " HAS_CREDENTIAL", " CERTIFIED_BY", " KEEPS_COMPLIANT_WITH", " REGULATES", " REGULATES", " CERTIFIED_BY", " SAME_PERSON", " SAME_PERSON", " DIRECTOR", " SAME_PERSON", " DIRECTOR_OF", " LEED_AP\n\n Explanation:\n The text states that Michael H", " CREATED_BY", " PREPARES_FOR\n\n Explanation:\n The text states", " REGULATES", " REGULATES", " CREATED_BY", " LEED_APPROVED", " LEED_APPROVED\n\n Explanation:\n The text states that", " DIRECTOR_OF", " LEED_APPROVED", " DIRECTOR_OF", " CERTIFIED_BY", " CREATED_BY", " RESPONSE: CREATED_BY", " RESPONSE: CREATED_BY", " RESPONSE: CREATED_BY", " CREATED", " CERTIFIED_BY", " CERTIFIED_BY", " CREDENTIALED_BY", " CERTIFIED_BY", " PROVIDES_SERVICES_TO", " REQUIRES", " REQUIRES_COMPLIANCE", " REQUIRES_COMPLIANCE", " REGULATOR", " IDENTICAL_TO", " REQUIRES", " REQUIRES", " REQUIRES", " REGULATES", " REQUIRES", " REQUIRES", " REQUIRES", " REQUIRES_COMPLIANCE", " REQUIRES_COMPLIANCE", " REQUIRES", " REGULATOR", " REQUIRES_COMPLIANCE", " REGULATES", " REQUIRES", " REQUIRES_COMPLIANCE", " REQUIRES", " REQUIRES", " REQUIRES", " REQUIRES_COMPLIANCE", " REQUIRES_COMPLIANCE", " REQUIRES", " REGULATOR", " REQUIRES_COMPLIANCE", " REGULATES", " REGULATES", " REGULATOR", " REGULATOR", " REGULATES", " CERTIFIED_BY", " CERTIFIED_BY", " CREATED", " REQUIRES", " REQUIRES_COMPLIANCE", " RESPONSE: REGULATES", " CERTIFIED_BY", " CERTIFIED_BY", " DIRECTOR_OF", " SPECIALIZED_IN", " PROVIDES_SERVICES_TO", " SAME_AS", " HAS_CREDENTIAL", " CERTIFIED_BY", " REGULATOR", " REGULATES", " REGULATES", " CERTIFIED_BY", " RECEIVED_CREDENTIAL", " DIRECTOR", " RECIPROCAL_ROLE_CHANGE", " DIRECTOR", " SAME_AS", " HAS_CREDENTIAL", " CERTIFIED_BY", " KEEPS_COMPLIANT_WITH", " REGULATES", " REGULATES", " CERTIFIED_BY", " RECENTLY_NAMED_DIRECTOR", " DIRECTOR", " RECENTLY_EARNED_CREDENTIAL", " DIRECTOR", " DIRECTOR", " DIRECTOR_OF\n\n Explanation:\n The text states that Mike", " AFFILIATED_WITH", " REGULATOR", " REGULATOR", " REGULATOR", " PROVIDES_SERVICES_TO", " DIRECTOR", " DIRECTOR", " DIRECTOR", " DIRECTOR_OF", " SAME_AS", " HAS_CREDENTIAL", " CERTIFIED_BY", " KEEPS_COMPLIANT_WITH", " REGULATES", " REGULATES", " CERTIFIED_BY", " RECENTLY_NAMED_DIRECTOR", " RECENTLY_NAMED_DIRECTOR", " DIRECTOR", " DIRECTOR", " DIRECTOR", " NO_RELATION. The text does not provide enough context to determine a relation between 'B", " PROVIDES_CREDENTIALS_FROM", " REQUIRES", " REGULATES", " REGULATES", " CREATED_BY", " DIRECTOR", " DIRECTOR", " DIRECTOR", " DIRECTOR" ]

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[ "top of page\nYou Matter To Me Candle\nby Garsnett Beacon Candle Company\nWe have partnered with Garsnett Beacon Candle Company in Holland, MI to introduce the You Matter To Me candle that was designed to honor the life of Julia “Gia” Suhajda. We hope this scent will brighten your life while continuing to spread awareness. A portion of the proceeds from the sale of each candle will be donated to the American Foundation for Suicide Prevention (afsp.org).\nTo learn more visit: https://garsnettbeacon.com/pages/bekindlikegia\nTo purchase a candle visit: https://garsnettbeacon.com/products/you-matter-to-me-3-25oz-glass-candle\nbottom of page" ]

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[ " PRODUCES", " PRODUCES", " LOCATED_IN", " LOCATED_IN", " HONORS\n\n Explanation:\n The text states that the 'You", " FUNDRAISER_FOR", " FUNDRAISER_FOR", " PRODUCES", " PARTNERED_WITH", " PARTNERED_WITH", " LOCATION.IN.ORGANIZATION", " DESIGNED_FOR", " FUNDRAISER_FOR", " FUNDRAISER_FOR", " PRODUCES", " PARTNERED_WITH", " PARTNERED_WITH", " LOCATION", " DESIGNED_FOR", " FUNDRAISER", " FUNDRAISER_FOR", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATION_IN.", " DESIGNED_FOR", " FUNDRAISER_FOR", " CHARITY_TO_LOCATION", " LOCATED_IN", " PARTNERED_WITH", " PARTNERED_WITH", " LOCATION_IN.", " PARTNERED_WITH", " FUNDRAISER_FOR", " FUNDRAISER_FOR", " HONORS\n\n Explanation:\n The text states that \"We have", " PARTNERED_WITH", " PARTNERED_WITH", " PARTNERED_WITH", " LOCATION_OF\n or\n ORG_FOUNDED_IN\n", " FUNDRAISER_FOR", " FUNDRAISER_FOR", " CHARITY_FOR_WORK_OF_ART", " FUNDS_RAISED_FOR", " FUNDS_RAISED_FOR", " PARTNERED_WITH", " LOCATION", " FUNDS_RAISED_FOR", " ORG_IS_WEBSITE_OF_ORG", " CHARITY_FOR_WORK_OF_ART", " FUNDRAISER_FOR", " FUNDRAISER_FOR", " LOCATION_OF\n\n Explanation:\n The text mentions that", " LOCATION", " FUNDRAISER_FOR", " FUNDING" ]

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[ "Each day, Buckner serves families. The needs of each are as different as their situations. No matter why they come, they all are looking for hope for a better life.\nFor these families, we ask the Buckner family to pray today.\n- For strength. Many of the families who come to Buckner Family Hope Centers and Buckner Family Pathways are tired -- physically, emotionally and spiritually. The strain of poverty and other issues weighs heavily on their day-to-day lives.\n- For wisdom. Pray that families and Buckner staff members know best how to change their situations. May God guide each conversation and step in transformation.\n- For an openess to the gospel. A relationship with Christ changes everything, including how a people see themselves and the world around them. Christ gives people hope even during the most difficult times.\n- For blessing. Pray that families are richly blessed by God." ]

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[ " SERVES", " SERVES", " SERVES", " SERVES", " SERVES", " PRAY_FOR_BLESSING\n\n Explanation:\n The", " SERVES_ON\n\n Explanation:\n The text describes Buckner", " ORG_REQUESTS_PRAYERS_FROM_ORG", " ASK_FOR_PRAYER", " HOSTS\n\n Explanation:\n The text states that \"Each day", " PROVIDES_SERVICE", " SERVES", " ORG_PRAYS_FOR_ORG", " PRAY_FOR\n\n Explanation:\n The text asks for prayers for", " SERVES_ON\n\n Explanation:\n The text describes Buckner", " SERVES", " ASK_FOR_PRAYER", " PROVIDES_SERVICE_TO", " PROVIDES_SERVICE", " SERVES", " ORG_ASSOC_ORG", " PRAY_FOR\n\n Explanation:\n The text asks for prayers for", " ASK_FOR_PRAYER", " ASK_FOR_PRAYER", " ASK_FOR_PRAYER", " ASK_FOR_PRAYER", " ASK_FOR_PRAYER", " PRAY_FOR\n\n Explanation:\n The text asks for prayers for", " SERVES_ON\n\n Explanation:\n The text describes Buckner", " PROVIDES_SERVICE", " SERVES", " ASK_FOR_PRAYER", " SERVES", " SERVES", " SERVES", " PRAY_FOR\n\n Explanation:\n The text asks for prayers for", " SERVES_ON\n\n Explanation:\n The text describes Buckner", " SUBORGANIZATION", " SUBORGANIZATION", " ASK_FOR_PRAYER", " SUBORGANIZATION", " SERVES", " SUBORGANIZATION", " PRAY_FOR\n\n Explanation:\n The text asks for prayers for", " SERVES", " SERVES", " SERVES", " SERVES", " SERVES", " PRAY_FOR\n\n Explanation:\n The text asks for prayers for", " SERVES_ON\n\n Explanation:\n The text describes Buckner", " SERVES", " ORG_REQUESTS_PRAYERS_FROM_ORG", " ASK_FOR_PRAYER", " HOSTS\n\n Explanation:\n The text mentions that 'B", " PROVIDES_SERVICE", " SERVES", " PRAY_FOR\n\n Explanation:\n The text asks for prayers for", " PRAYS_FOR", " PRAYS_FOR", " PRAYS_FOR", " ASK_FOR_PRAYER_FOR", " PRAYS_FOR", " PRAY_FOR", " PRAY_FOR\n\n Explanation:\n The text asks for prayers for", " PRAYS_FOR" ]

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[ "Our firm has been providing legal advice for over one hundred years. We provide expert legal advice on a range of family law and private client issues, taking a practical and no-nonsense approach to help our clients achieve their goals. We understand the legal process can be daunting and will support you through it each step of the way.\nWe are a team of experienced lawyers, each an expert in their own field of family and private law, and a number of whom have been ranked by Chambers & Partners UK. Our Head of Family Law in Derry, Karen O’Leary, and Head of Family Law in Dublin, Geraldine Keehan, are two of only a handful of lawyers in Ireland invited to be fellows of the acclaimed International Academy of Family Lawyers (IAFL).\nWe practice in Northern Ireland, the Republic of Ireland, England, and Wales, and regularly advise clients in each of these jurisdictions." ]

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'Our firm practices in Ireland.'", " MEMBER_OF", " MEMBER_OF", " LOCATION_IN\n\n Explanation:\n The text states that the", " ADVISOR_OF\n or\n PRACTICE_IN\n or", " ADVISOR_OF\n or\n LOCATED_IN\n or\n", " REGION_OF\n\n Explanation:\n The text states that the law", " RECOGNIZED_BY", " LOCATION_IN. LOCATION\n or\n HEAD_OF.", " HEAD_OF\n\n Explanation:\n The text states that Karen O", " LOCATION_IN\n\n Explanation:\n The text mentions that", " HEAD_OF\n\n Explanation:\n The text states that Gerald", " REGION_OF\n OR\n HEAD_OF\n (Note: The", " MEMBER_OF", " MEMBER_OF", " LOCATION_IN\n\n Explanation:\n The text states that the", " INCLUDES_SUBLOCATION", " REGION_OF\n\n Explanation:\n The text mentions that the", " REGION_IN\n\n Entities: \n [{'head': ['Our", " RECOGNIZED_BY", " MEMBER_OF", " MEMBER_OF", " LOCATED_IN", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " IDENTICAL_TO", " MEMBER_OF", " IN_COUNTRY", " REGION_OF\n\n Explanation:\n The text states that the International", " REGION_OF\n\n Explanation:\n The text states that the International", " RECOGNIZED_BY", " HEAD_OF_ORG_IN_GPE", " MEMBER_OF", " INVITED_FROM", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " HAS_MEMBER_FROM\n\n Explanation:\n The text states", " REGION_OF\n\n Explanation:\n The text mentions that the", " REGION_OF\n\n Explanation:\n The text states that the law", " RECOGNIZED_BY", " LOCATION_IN\n\n Entities: \n [{'head': ['", " HEAD_OF\n\n Explanation:\n The text states that Karen O", " REGION_IN_REGION", " HEAD_OF\n\n Explanation:\n The text states that Gerald", " REGION_OF\n\n Explanation:\n The text states that the law", " REGION_IN_REGION", " MEMBER_OF", " MEMBER_OF", " REGION_OF\n\n Entities: \n [{'head': ['Our", " REGION_OF\n\n Explanation:\n The text states that the firm", " REGION_OF\n\n Entities: \n [{'head': ['Our", " RECOGNIZED_BY", " LOCATION_IN. LOCATION\n This relation indicates that Derry is a", " HEAD_OF\n\n Explanation:\n The text states that Karen O", " LOCATION_IN\n\n Explanation:\n The text states that the", " EXPERT_IN_JURISDICTION", " REGION_OF\n\n Explanation:\n The text states that the law", " SUBLOCATION_WITHIN.", " MEMBER_OF", " MEMBER_OF", " REGION_OF\n\n Explanation:\n The text states that the law", " REGION_OF\n\n Explanation:\n The text mentions that the", " REGION_OF\n\n Explanation:\n The text mentions that the", " RECOGNIZED_BY", " PRACTICE_IN.", " HEAD_OF\n\n Explanation:\n The text states that Karen O", " REGION_ADMINISTERED_BY", " ADVISOR_OF", " REGION_OF_JURISDICTION\n\n Explanation:\n ", " REGION_OF\n\n Explanation:\n The text states that the law", " MEMBER_OF", " MEMBER_OF", " REGION_IN\n\n Explanation:\n The text states that the firm", " REGION_OF\n\n Explanation:\n The text mentions that the", " REGION_OF\n\n Explanation:\n The text mentions that the", " REGION_OF_OPERATION", " REGION_ADMINISTERED_BY", " ADVISOR_OF\n\n Explanation:\n The text states that Karen", " REGION_ADVISOR_IN_REGION", " REGION_OF_JURISDICTION\n\n Explanation:\n ", " REGION_OF_JURISDICTION\n\n Explanation:\n ", " REGION_OF\n\n Explanation:\n The text states that the law", " MEMBER_OF", " MEMBER_OF", " REGION_OF\n\n Explanation:\n The text states that the law", " REGION_OF\n\n Explanation:\n The text mentions that the", " REGION_OF\n\n Explanation:\n The text states that the law" ]

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[ "The Webinar aims to dissect the findings of IRS 2019\nAI is the new god and techno religion will change the world, say Kaleidoko's Jonathan Tavss and Dean Donaldson.\nWatch the film conceptualised by W+K Portland here\nHe was SVP – marketing and loyalty at Shoppers Stop prior\nDigitisation of retail experience, responsible consumerism and democratisation of content will drive change in marketing, says a ZO report to mark its 25th anniversary\nMarketers are facing a ‘perfect storm’ with commoditisation of their products and increasingly informed, demanding and disloyal consumers. Wooing them back will take innovation and creativity, according to an Ipsos report.\nTop news, insights and analysis every weekday\nSign up for Campaign Bulletins" ]

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[ " FINDINGS_OF", " FINDINGS_OF", " FINDINGS_OF", " DISSECTED_BY", " CONCEPTUALISED_BY", " HEAD_EMPLOYED_AT\n Or, if no relation exists:\n", " REPORTED_BY", " REPORTED_EVENT_WITH_TIMESTAMP", " SAYS\n\n Explanation:\n The entities are IRS and I", " CAMPAIGN_FREQUENCY", " FINDINGS_OF", " FINDINGS_OF\n OR\n REPORTED_BY", " FINDINGS_OF\n OR\n SPEAKER_OF\n OR\n", " SPEAKER_AT\n\n Entities: \n [{'head': ['", " CONCEPTUALISED_BY", " HEAD_OF_EVENT\n\n Explanation:\n The entities represent the", " PUBLISHED_REPORT", " REPORTED_BY", " DISSECTED_FINDINGS_OF", " ANNIVERSARY_OF", " SPOKE_FOR", " SPEAKER", " CONCEPTUALISED_BY", " HEAD_OF\n\n Explanation:\n The text mentions that Jonathan", " REPORTED_BY", " ANNIVERSARY", " SAYS_REPORT_BY", " CAMPAIGN_FREQUENCY", " DISSECTED_FINDINGS_OF", " FINDINGS_OF", " FOUNDER_OF", " SPOKE_AT\n\n Explanation:\n The text mentions that", " conceptualised_by", " PREVIOUSLY_WORKED_FOR", " DISSECTS\n\n Explanation:\n The text states that \"a", " MARKS_ANNIVERSARY", " SPOKE_FOR", " CAMPAIGN_PROMOTION", " DISCUSSED_FINDINGS_OF", " FINDINGS_OF", " SPOKE_FOR", " SPOKE_AT\n\n Explanation:\n The text mentions that", " conceptualised_by", " HEAD_OF\n\n Explanation:\n Dean Donaldson was the head", " REPORTED_BY", " ANNIVERSARY", " SPOKE_FOR", " CAMPAIGN_FREQUENCY", " CONCEPTUALISED", " CONCEPTUALISED", " CONCEPTUALISED_BY", " CONCEPTUALIZED_BY", " conceptualised_by", " CONCEPTUALISED_BY", " REPORTED_BY", " REPORTED_BY", " REPORTED_BY", " PROVIDES_REGULARLY", " HEAD_OF\n\n Explanation:\n The text mentions that the", " PREVIOUSLY_WORKED_FOR", " PREVIOUSLY_WORKED_FOR", " PREVIOUSLY_WORKED_FOR", " PREVIOUSLY_WORKED_FOR", " PREVIOUSLY_WORKED_FOR", " REPORTED_BY", " REPORTED_BY", " FACED_BY", " CAMPAIGN_FREQUENCY", " REPORTED_BY", " REPORTED_DATE", " REPORTED_BY", " SPOKE_AT\n\n Explanation:\n The text mentions that", " SPOKE_AT\n\n Explanation:\n The text mentions that", " REPORTED_BY", " RESPONSIBLE_FOR", " REPORTED_EVENT_WITH_TIMEX\n\n Explanation:\n ", " REPORTED_BY", " DISTRIBUTES", " REPORTED_BY", " REPORTED_BY", " SPEAKS_AT\n\n Entities: \n [{'head': ['", " SPOKE_AT (or PRESENTED_AT for events)", " REPORTED_BY", " RESPONSIBLE_FOR", " REPORTED_BY", " REPORTED_BY", " REPORTED_BY", " REPORTED_IN_YEAR", " SAYS_REPORT_BY", " SPOKE_AT\n\n Explanation:\n The text mentions that", " SPOKE_AT\n or\n AUTHOR_OF\n\n Explan", " REPORTED_BY", " COMMODITIZATION_OF_PRODUCTS_OF\n or\n PRO", " REPORTED_BY", " REPORTED_AT_ANNIVERSARY", " PROVIDES", " REPORTED_BY", " CAMPAIGNS_FOR\n\n Explanation:\n The text ment", " CAMPAIGN_FOR\n\n Explanation:\n The text mentions", " SPOKE_AT", " CONCEPTUALISED_BY", " HEAD_EMPLOYED_TAIL", " REPORTED_BY", " REPORTED_BY" ]

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[ "At Capalino, Lindsay works collaboratively with the finance, compliance and human resources departments to ensure smooth operations across the company. She also serves as the Executive Assistant to the firm’s CEO where she coordinates all his matters related to scheduling, reporting and internal and external communications. Additionally, she oversees many of the firm’s administrative and day-to-day tasks.\nPrior to joining Capalino, Lindsay served as Editorial Assistant for an Elementary-level textbook publishing company where her main duties included proofreading and submitting written lessons to the copywriter. She also taught third grade for four years.\nLindsay graduated magna cum laude from Coastal Carolina University with a Bachelor of Arts degree in Education. She lives on Long Island with her husband, three young children, and dog. When not engaged in Capalino-related activities, she enjoys spending time at the lake with her family." ]

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[ " WORKS_FOR", " NO_RELATION", " WITHIN_ORGANIZATION", " WORKS_FOR", " TEACHER_OF\n\n Explanation:\n The text states that Lind", " TEACHER_EXPERIENCE", " WORKS_FOR", " EDUCATED_AT", " LIVES_IN", " LIVES_IN.", " WORKS_FOR", " NO_RELATION", " WORKS_FOR", " SELF_REFERENCE", " TEACHED", " TEACHED_FOR\n\n Entities: \n [{'head': ['", " SELF_REFERENCE", " GRADUATED_FROM", " LIVES_ON", " FAMILY_MEMBER_OF\n\n Explanation:\n The", " WORKED_FOR", " LIVES_IN", " WORKS_AT", " LIVES_IN", " LIVES_IN", " EDUCATED_AT", " LIVES_IN", " INSTANCE_OF\n\n Explanation:\n Lindsay works for Cap", " WORKS_FOR", " NO_RELATION.", " WORKS_FOR", " NO_RELATION", " TEACHER_EXPERIENCE", " WORKS_FOR", " EDUCATED_AT", " LIVES_IN", " NO_RELATION", " EMPLOYED_BY", " SELF_RELATION\n\n Explanation:\n The text mentions", " NO_RELATION", " WORKS_FOR", " TEACHED\n\n Entities: \n [{'head': ['76", " TEACHED_FOR\n or\n NO_RELATION (if no relation exists", " SELF_REFERENCE", " GRADUATED_FROM", " LIVES_ON", " FAMILY_MEMBER_OF\n or\n HAS_CHILD", " PREVIOUSLY_WORKED_FOR", " TEACHED", " PREVIOUS_WORKPLACE", " TEACHED", " TAUGHT", " EDUCATED_AT", " LIVES_IN", " PREVIOUS_EMPLOYER", " TEACHED", " WORKED_FOR", " TEACHED", " TEACHED", " GRADUATED_FROM", " LIVES_AT", " EMPLOYED_BY", " SELF_RELATION\n\n Explanation:\n The text describes Lind", " NO_RELATION", " WORKS_FOR", " SELF_REFERENCE", " TEACHER_OF\n\n Explanation:\n The text states that Lind", " TEACHED_FOR\n\n Or, if no relation exists:\n NO_", " GRADUATED_FROM", " LIVES_ON", " FAMILY_MEMBER_OF\n OR\n HAS_CHILD", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATION\n\n Entities: \n [{'head': ['1", " EDUCATED_AT", " LIVES_IN", " EDUCATED_BY", " LIVES_IN", " LIVES_IN", " LIVES_ON.", " LIVES_IN", " LIVES_IN", " LIVES_IN\n\n Explanation:\n The text states that Lind", " LIVES_IN\n OR:\n NO_RELATION", " LIVES_IN", " LIVES_NEAR\n\n Explanation:\n The text states that", " LIVES_IN", " FAMILY_MEMBER_OF", " FAMILY_MEMBER\n or\n NO_RELATION (if '", " FAMILY_MEMBER_OF", " FAMILY_MEMBER\n or\n HAS_CHILD\n ", " FAMILY_MEMBER\n\n Explanation:\n The text states", " GRADUATED_FROM", " LIVES_IN" ]

[ [ "1", "2", "ORG", "Capalino" ], [ "3", "4", "PERSON", "Lindsay" ], [ "67", "68", "DATE", "day" ], [ "74", "75", "ORG", "Capalino" ], [ "76", "77", "PERSON", "Lindsay" ], [ "106", "107", "ORDINAL", "third" ], [ "109", "111", "DATE", "four years" ], [ "113", "114", "PERSON", "Lindsay" ], [ "119", "122", "ORG", "Coastal Carolina University" ], [ "134", "136", "LOC", "Long Island" ], [ "140", "141", "CARDINAL", "three" ] ]

[ "The war of the salas continues in the Supreme Tribunal, with too many machinations to keep track of. Duque’s dad says the Sala Plena is the chivo que más mea in the Supreme Tribunal. He says the (opposition leaning) electoral chamber still has jurisdiction over the signatures, but that if there is a jurisdictional conflict, the Sala Electoral should take the matter to the entire court. Does anyone have a proper head-count there?\nCaracas Chronicles is 100% reader-supported.\nWe’ve been able to hang on for 21 years in one of the craziest media landscapes in the world. We’ve seen different media outlets in Venezuela (and abroad) closing shop, something we’re looking to avoid at all costs. Your collaboration goes a long way in helping us weather the storm.Donate" ]

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[ " 'BELONGS_TO' or 'ORGANIZATION_OF' or", " PART_OF", " SALA_PLENA_IS_PART_OF_THE_SUPREME", " SUBORDINATE_TO", " SUPPORTS", " SUPPORTS", " SUPPORTED_BY", " LOCATION. The text does not provide enough context to determine a specific relation between the entities", " BELONGS_TO", " BELONGS_TO", " MEMBER_OF", " SAYS_ABOUT", " SUPPORTS", " SUPPORTS", " HAS_DURATION", " NO_RELATION", " PART_OF", " SAYS_ABOUT", " PART_OF", " SUPERORDINATE", " SUPPORTS", " SUPPORTS", " EXPERIENCED_FOR\n\n Explanation:\n The text ment", " LOCATED_IN", " SALA_PLENA\n SALA_ELECTORAL", " 'BELONGS_TO' or 'PART_OF' or 'ORGAN", " PART_OF", " SUPERIOR_TO", " SUPPORTS", " SUPPORTS", " SUPPORTED_BY", " LOCATION. The text does not provide enough context to determine a specific relation between the entities", " SUPERORDINATE", " SHOULD_TAKE_MATTER_TO", " SUPERIOR_TO", " SUPERORDINATE", " TAKES_MATTER_TO", " SUPPORTS", " HAS_DURATION", " LOCATION.\n\n Explanation:\n The text mentions that if", " PUBLISHER_OF\n\n Explanation:\n The text ment", " SUPPORTED_BY", " PUBLISHER_OF", " PUBLISHER_OF\n\n Explanation:\n The text ment", " ORG_SUPPORTS\n\n Explanation:\n The text mentions that", " SUPPORTED_BY", " HAS_EXISTED_FOR\n\n Explanation:\n The text", " BASED_IN", " SUPPORTED_BY", " SUPPORTED_BY", " SUPPORTS", " SUPPORTED_BY", " SUPPORTS", " SUPPORTS", " SUPPORTS", " HAS_DURATION", " HAS_DURATION", " HAS_EXISTED_FOR\n\n Explanation:\n The text", " HAS_DURATION", " HAS_BEEN_IN_EXISTENCE_FOR\n OR,\n ", " EXISTED_FOR", " EXISTED_IN", " LOCATION_OF\n or\n JURISDICTION_OVER\n", " COUNTRY_OF_BIRTH", " LOCATION_OF\n or\n JURISDICTION_OVER\n", " LOCATION_OF\n or\n JURISDICTION_OVER\n", " LOCATION_OF\n or\n JURISDICTION_OVER\n", " LOCATION_OF\n or\n ORGANIZED_BY\n ", " SUPPORTS", " EVENT_STARTED_AT\n or\n ORG_EXISTED_AT" ]

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[ "Hancock Regional Hospital\nHospital & Health Care\nCraig P. Davis, OTR, is a staff occupational therapist at Hancock Regional Hospital in Greenfield Indiana. In that capacity, he provides inpatient care in the long-term acute care, Cardiac Intensive Care Unit, joint/spine, and geriatric settings.\nCraig has provided skilled occupational therapy services through patient evaluation, treatment, treatment planning, home exercise planning, and patient/family education at several rehabilitation facilities in Indiana. He participated in the startup of the first post-acute residential brain injury program in Houston, Texas. He also has extensive experience in providing care and treatment for patients with traumatic brain injuries, strokes, spinal cord injuries, multiple sclerosis, Guillain-Barré syndrome, transverse myelitis, as well as amputees, and post-polio patients.\nCraig obtained his Master of Science in Occupational Therapy degree from Washington University in St. Louis, Missouri." ]

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Davis obtained his", " EDUCATED_AT", " HOSPITAL_OF_HOSPITAL", " EMPLOYED_BY", " LOCATION.\n\n Entities: \n [{'head': ['2", " LOCATION.IN.ADMIN_DIVISION", " LOCATION_IN_ORGANIZATION", " EMPLOYED_BY", " LOCATION.IN.ADMIN_DIVISION", " STARTED_AT", " STARTED_IN.", " PARTICIPATED_IN\n\n Explanation:\n Craig P. Davis participated", " EMPLOYED_BY", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n Craig obtained his Master's", " EDUCATION\n\n Explanation:\n Craig obtained his Master's", " LOCATED_AT", " WORKS_AT", " LOCATED_AT", " LOCATION_IN.", " LOCATION_IN. 'Greenfield' is the location of 'Cardiac Intensive", " WORKS_AT", " LOCATION_IN.", " LOCATION_FIRST\n\n Entities: \n [{'head':", " PARTICIPATED_IN\n\n Explanation:\n Craig has extensive experience in", " PARTICIPATED_IN\n\n Explanation:\n Craig P. Davis participated", " WORKS_AT", " EDUCATED_AT", " EDUCATION_PLACE", " EDUCATION_PLACE", " LOCATION", " WORKS_IN", " LOCATION", " LOCATION_IN.", " LOCATION_IN.", " WORKS_IN", " IN_STATE", " STARTED_IN", " PARTICIPATED_IN\n\n Explanation:\n Craig has extensive experience in", " PARTICIPATED_IN\n\n Explanation:\n Craig has extensive experience in", " WORKS_IN", " EDUCATED_AT", " EDUCATION_PLACE", " EDUCATION_PLACE", " 'HEAD_IN_ORGANIZATION'", " PROVIDES_CARE_TO", " The Cardiac Intensive Care Unit is a part of Hancock Regional Hospital.\n ", " LOCATION.IN.HOSPITAL.UNIT", " PROVIDES_SERVICE_IN.", " PROVIDES_CARE_TO", " PROVIDES_SERVICE_IN", " Craig has extensive experience in providing care and treatment for patients in the first Cardiac Intensive Care", " PARTICIPATED_IN. This indicates that Craig P. Davis participated in the startup of a", " PARTICIPATED_IN. This indicates that Craig P. Davis participated in the startup of a", " PROVIDES_CARE_TO", " EDUCATED_AT", " Craig obtained his Master_of_Science_in_Occupational_Ther", " Craig obtained his Master_of_Science_in_Occupational_Ther", " EMPLOYED_BY", " SELF.", " STAFF_MEMBER_OF", " WORKS_AT", " PROVINED_SERVICES_IN", " WORKS_IN", " PROVINED_SERVICES_IN", " STARTED_AT\n\n Entities: \n [{'head': ['", " PARTICIPATED_IN.", " PARTICIPATED_IN\n\n Explanation:\n Craig participated in the startup", " SELF", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n Craig obtained his Master's", " EDUCATION\n\n Explanation:\n Craig obtained his Master's", " LOCATION", " WORKS_IN", " LOCATION", " LOCATION_IN.", " IN_STATE", " LOCATION_IN.", " WORKS_IN.", " STARTED_IN", " PARTICIPATED_IN\n\n Explanation:\n Craig has extensive experience in", " PARTICIPATED_IN\n\n Explanation:\n Craig has extensive experience in", " WORKS_IN", " EDUCATED_AT", " EDUCATION_PLACE", " EDUCATION_PLACE", " STARTED_AT", " STARTED_AT\n\n Explanation:\n The text states that Craig", " STARTED_AT", " LOCATION.IN.LOCATION\n\n Explanation:\n The head", " STARTED_IN", " PROVIDES_CARE_TO\n\n Explanation:\n Craig provides care", " STARTED_AT\n\n Explanation:\n The text states that Craig", " STARTED_IN", " PARTICIPATED_IN", " PARTICIPATED_IN\n\n Explanation:\n Craig participated in the startup", " STARTED_AT\n\n Explanation:\n The text states that Craig", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n Craig obtained his Master's", " EDUCATION\n\n Explanation:\n Craig obtained his Master's", " STARTED_AT. This is because Craig started the first post-acute residential brain", " STARTED_PROGRAM", " STARTED_AT. This is because Craig started the first post-acute residential brain", " PARTICIPATED_IN\n\n Explanation:\n Craig P. Davis participated", " MOVED_FROM", " STARTED_IN.", " STARTED_PROGRAM", " MOVED_FROM", " STARTED_AT", " STARTED_IN", " STARTED_PROGRAM", " PARTICIPATED_IN\n\n Explanation:\n Craig P. Davis participated", " PARTICIPATED_IN\n\n Explanation:\n Craig P. Davis participated", " PARTICIPATED_IN\n\n Explanation:\n Craig P. Davis participated", " STARTED_IN", " PARTICIPATED_IN.", " PARTICIPATED_IN. This indicates that Craig P. Davis took part in the startup of", " PARTICIPATED_IN\n\n Explanation:\n Craig P. Davis participated", " MOVED_FROM", " STARTED_IN", " STARTED_IN", " MOVED_FROM", " STARTED_IN", " PARTICIPATED_IN\n\n Explanation:\n Craig P. Davis participated", " PARTICIPATED_IN.", " EDUCATED_AT", " EDUCATION_PLACE", " PARTICIPATED_IN_STARTUP_OF\n\n Explanation:\n ", " EMPLOYED_BY", " SELF.", " EMPLOYED_BY", " WORKS_AT", " PROVIDES_SERVICE_IN.", " WORKS_IN", " SELF", " PROVINED_SERVICES_IN", " STARTED_AT\n\n Entities: \n [{'head': ['", " PARTICIPATED_IN.", " PARTICIPATED_IN. This indicates that Craig participated in the startup of a program in Texas", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n Craig obtained his Master's", " EDUCATION\n\n Explanation:\n Craig obtained his Master's", " EDUCATED_AT", " EDUCATED_BY", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_IN", " EDUCATED_AT", " EDUCATED_BY", " EDUCATED_IN", " EDUCATED_AT", " PARTICIPATED_IN\n\n Explanation:\n Craig P. Davis participated", " PARTICIPATED_IN\n\n Explanation:\n Craig P. Davis participated", " EDUCATED_BY", " EDUCATED_AT", " EDUCATION_AT_LOCATION", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " Craig obtained his Master_of_Science_in_Occupational_Ther", " EDUCATION_LOCATION", " The Cardiac Intensive Care Unit is located in St. Louis.", " EDUCATED_AT", " EDUCATION_LOCATION", " Craig obtained his degree from the first (St. Louis) [ORDINAL, first]", " PARTICIPATED_IN\n\n Explanation:\n Craig P. Davis participated", " PARTICIPATED_IN\n\n Explanation:\n Craig P. Davis participated", " EDUCATION\n\n Explanation:\n Craig obtained his Master's", " EDUCATED_AT", " EDUCATION_LOCATION", " EDUCATION_PLACE", " EDUCATION\n\n Explanation:\n Craig P. Davis obtained his", " EDUCATED_AT", " Craig obtained his Master_of_Science_in_Occupational_Ther", " EDUCATION_PLACE.", " MODE_OF_TREATMENT_AT\n or\n TREATED", " EDUCATION\n\n Explanation:\n Craig obtained his Master's", " EDUCATION_PLACE.", " Craig obtained his degree from the FIRST university in Missouri.\n\n Therefore, the", " PARTICIPATED_IN\n\n Explanation:\n Craig P. Davis participated", " PARTICIPATED_IN\n\n Explanation:\n Craig P. Davis participated", " EDUCATION\n\n Explanation:\n Craig obtained his Master's", " EDUCATED_AT", " EDUCATION_LOCATION" ]

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[ "Very soon the boy was tragically lost his father. Child-rearing, rested on the shoulders of his mother. Then came a new trouble. Sergei ill. He put the terrible diagnosis - leukemia. It was the beginning of a painful, arduous journey of resistance death! Sergei went through chemotherapy, he received hormones and droppers. Four times suffered anesthesia. Every two weeks, took a lumbar puncture. Regular blood transfusions. Boy every day fighting for his life. Now his condition has stabilized. He is under the constant supervision of doctors. Lead a normal life beyond him, he is forced to wear a mask. At the moment, the boy is not enough communication. He lives in a confined space. But Sergei is a cherished dream that my mother may not realize - is the computer.\nPurchased a computer worth 23,894 rubles." ]

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[ "Mixed media with neon\n30 x 30 x 50 cm\nLaurent Baude is a nomadic artist who is fuelled by his many sources of inspiration. In 1980, his interest in colours and shapes began to take form. He started creating sculptures made of scraps of wood and metal, yielding strange yet harmonious graphic curves that call matters of space into question. During that same period, the artist was also working on nudes which enabled him, as he puts it, to “understand sculpture from the inside”." ]

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[ " CREATED_BY", " CREATED_BY\n or\n HAS_DIMENSIONS\n", " INITIAL_INTEREST", " INITIAL_WORK_YEAR" ]

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[ "The first event of 2013 for the Event Team was also the first event for Courtney and Who’s a Star since June of 2012. Competing at Preliminary, they did well in all three phases, placing 3rd in dressage, less than a point off the lead. They went on to jump clear in stadium and on cross country, to finish in 3rd place.\nCourtney also rode Vegas Run at Training. They also placed 3rd in dressage and then added a rail in stadium. On cross country, Vegas jumped a little too boldly at a bank complex, unseating Courtney, who landed on her feet.\n[lyte id=”TT4JHjIxZfe02IBKa5uSgtXGzfa68O5J” playlist=”true” /]" ]

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[ " EVENT_TEAM_ORG_PRESIDED_OVER_EVENT_1", " FIRST_EVENT_FOR_PERSON", " FIRST_EVENT_FOR_PERSON", " RIDDEN_BY", " FIRST_EVENT_FOR_PERSON", " FIRST_EVENT", " FIRST_EVENT", " FIRST_EVENT", " EVENT_AT\n or\n PARTICIPATED_IN\n or\n H", " FIRST_EVENT", " EVENT_TEAM_ORG_FIRST_EVENT_ORG", " FIRST_EVENT", " EVENT_TEAM_ORGANIZED_FIRST_EVENT_FOR_CO", " TEAMMEMBER_OF", " FIRST_EVENT_FOR\n\n Explanation:\n The text states", " FIRST_EVENT", " EVENT_ORGANIZED\n\n Entities: \n [{'head", " FIRST_EVENT", " EVENT_TEAM_PLACED_3RD", " EVENT_TEAM_PLACED_3RD", " TEAMMEMBER_OF", " RIDDEN_BY", " EVENT_TEAM_PLACED_3RD", " EVENT_TEAM_ORGANIZED_EVENT_VEGAS", " TEAMMEMBER_OF", " EVENT_STARTED\n ORGANIZED_BY\n\n Entities:", " FIRST_EVENT", " FIRST_EVENT", " PRECEDED_BY", " FIRST_EVENT", " FIRST_EVENT", " FIRST_EVENT", " MEMBER_OF", " FIRST_EVENT", " OWNER_OF\n\n Explanation:\n The text states that \"", " FIRST_EVENT", " PARTICIPATED_IN", " PLACED_THIRD", " PLACED_THIRD", " PLACED_THIRD", " SELF_REFERENCE", " RIDDEN_BY", " PLACED_THIRD", " RIDDEN_BY", " SAME_PERSON", " EMPLOYED_BY", " OWNER", " OWNER", " HORSE_RIDDEN_BY \n or \n WORK", " OWNER", " FIRST_EVENT", " FIRST_EVENT", " FIRST_EVENT", " FIRST_EVENT\n\n Explanation:\n The text states that the", " FIRST_EVENT", " FIRST_EVENT_FOR_ORG_FOR_ENTITY", " PARTICIPANT_IN", " PARTICIPANT_IN", " COMPETED_AT (EVENT, ORG)", " PARTICIPANT_IN", " FIRST_EVENT", " COMPETED_IN", " COMPETED_IN", " COMPETED_WITH", " COMPETED_IN", " EVENT_TEAM_PLACED_THIRD\n (Note: The numbers", " PLACED_BEHIND", " PLACED_BEHIND", " PLACED_BEHIND", " PLACED_THIRD", " EVENT_TEAM_HOSTED\n\n Explanation:\n The text states", " PLACED_BEHIND", " PLACED_BEHIND", " PLACED_BEHIND", " PLACED_THIRD", " FIRST_EVENT", " FIRST_EVENT", " MEMBER_OF", " FIRST_EVENT", " SAME_PERSON", " OWNER", " FIRST_EVENT", " PARTICIPATED_IN", " FINISHED_IN_THIRD", " PLACED_THIRD", " PLACED_THIRD", " RIDDEN_BY", " PLACED_THIRD", " RIDDEN_BY", " SAME_PERSON", " ORG_PARTICIPANT_PRODUCT", " RIDDEN_BY", " RIDDEN_BY", " BELONGS_TO", " RIDDEN_BY", " EVENT_TEAM_HOSTED\n\n Explanation:\n The text states", " PLACED_BEHIND", " PLACED_BEHIND", " PLACED_BEHIND", " PLACED_THIRD", " EVENT_BEFORE", " FIRST_EVENT", " MEMBER_OF", " EVENT_BEFORE", " RIDING", " EVENT_PARTICIPANT", " FIRST_EVENT\n\n Entities: \n [{'head': ['", " COMPETED_IN", " PLACED_THIRD", " PLACED_THIRD", " PLACED_THIRD", " RIDING", " PRODUCT_OF\n\n Explanation:\n The text states that \"V", " PLACED_THIRD", " RIDING", " FIRST_EVENT", " FIRST_EVENT", " MEMBER_OF", " FIRST_EVENT", " SAME_PERSON", " OWNER", " FIRST_EVENT", " PARTICIPATED_IN", " PLACED_THIRD", " PLACED_THIRD", " PLACED_THIRD", " SAME_PERSON", " RIDDEN_BY", " PLACED_THIRD", " RIDDEN_BY" ]

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[ "Best Western Mornington Hotel Hyde Park\nCi piace questo\n- Camera accoglienteEnjoy moments of total calm (and free toiletries) in your room.\n- All'apice della convivialitàUnwind amongst books and history at the elegant Library Bar (the drinks are pretty classy too).\n- Luogo ispiranteThe blend of trendy decor elements and 19th-century architecture is an impressive sight.\n12 Lancaster Gate, London W2 3LG, United Kingdom" ]

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[ " PART_OF", " IS_A_PART_OF", " HAS_ARCHITECTURE_STYLE", " LOCATED_IN", " LOCATED_IN", " PART_OF", " IS_A_PART_OF", " HAS_ARCHITECTURE_STYLE", " LOCATED_IN", " LOCATED_IN", " LOCATED_AT", " PART_OF", " HAS_ARCHITECTURE_STYLE", " LOCATED_IN", " LOCATED_IN", " HAS_ARCHITECTURE_STYLE", " HAS_ARCHITECTURE_STYLE", " HAS_ARCHITECTURE_STYLE", " LOCATION_IN. The head entity is a modifier of the location described in the", " LOCATED_IN", " LOCATED_IN", " LOCATED_AT", " LOCATION_OF\n\n Text: \n [\"Best Western Mornington Hotel", " HAS_PERIOD_STYLE", " LOCATION_IN\n\n Explanation:\n The text describes the Best", " LOCATION", " LOCATED_AT", " LOCATION_OF\n\n Explanation:\n The text describes the Best", " BUILT_IN_TIME_PERIOD", " LOCATION_IN\n\n Explanation:\n The text describes the Best" ]

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[ "Del Mar Family Dentistry is proud to support the San Dieguito Academy Boys Basketball Team, and thank them in turn for these nice words and the photo they sent over.\nHi Dr. Trudeau, Stephanie and staff,\nI wanted to send you a quick note to thank you again for your sponsorship of the SDA Boys Basketball Team. Please know that every dollar raised from these banners go to MUCH needed uniforms and supplies for the boys.\nAt this time year, where we are reminded to give thanks, we wanted to do just that – we hope you enjoy this photo of the boys…thanking you…for your support.\nThe SDA family wishes you, your families and your business a very happy and blessed Thanksgiving!\nAngelique Hollenbeck, all the parent volunteers and the entire SDA Boys Basketball Team" ]

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[ " SPONSOR", " SPONSOR", " SPONSOR", " SPONSOR", " SUPPORTS_AT_TIME", " SPONSOR", " NO_RELATION", " SPONSOR", " SPONSOR", " SPONSOR", " SPONSOR", " SPONSOR", " SAME_AS", " RECENT_YEARS", " SAME_ORGANIZATION", " WISHES_HAPPY_AND_BLESSED_ON_DATE", " SUPPORTED_BY", " SAME_AS", " SPONSOR", " SPONSOR", " SPONSOR", " SPONSOR", " RECENT_YEARS", " SPONSOR", " NO_RELATION", " SPONSOR", " SPONSOR", " SPONSOR", " SPONSOR", " SPONSOR", " SPONSOR", " RECENT_YEARS", " SPONSOR", " NO_RELATION", " THANKED_BY", " SPONSOR", " SPONSOR", " SAME_ORGANIZATION", " SPONSOR", " SPONSOR", " RECENT_YEARS", " SELF_REFERENCE", " WISHES_HAPPY_AND_BLESSED_ON_DATE", " THANKED_BY", " SELF_REFERENCE", " SPONSOR", " SUPPORTS", " THANKED_BY", " THANKED_BY", " THANKING_FOR_SPONSORSHIP", " THANKING_FOR_SPONSORSHIP", " SENT_THANK_YOU_TO", " SUPPORTS", " SPONSOR", " SDA_IS_THE_NAME_OF\n or\n SDA_IS", " SPONSOR", " SPONSOR", " SAME_ORGANIZATION", " RECENT_YEARS", " WISHES_HAPPY_AND_BLESSED_ON_DATE", " SUPPORTED_BY", " SELF_REFERENCE", " SPONSORED_BY", " WISHES_HAPPY_AND_BLESSED_HOLIDAY", " WISHES_HAPPY_THANKSGIVING", " THANKED_BY", " WISHES_HAPPY_AND_BLESSED_HOLIDAY", " WISHES_HAPPY_AND_BLESSED_HOLIDAY", " THANKS_FOR\n or\n EXPRESSES_GRATIT", " WISHES_HAPPY_AND_BLESSED_HOLIDAY", " SPONSOR", " SUPPORTS", " THANKED", " SENT_THANK_YOU_TO", " FUNDING", " RECENTLY_THANKED_FOR_SPONSORSHIP", " FUNDING", " WISHES_HAPPY_AND_BLESSED_ON_DATE", " FUNDING", " SPONSOR", " SDA_IS_THE_NAME_OF\n or\n SDA_IS", " SPONSOR", " SUPPORTED_BY", " SELF_REFERENCE", " RECENT_YEARS", " SELF_REFERENCE", " WISHES_HAPPY_AND_BLESSED_ON_DATE", " THANKED_BY" ]

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[ "Priscilla Block will kick off her own tour in San Diego in February. So far, she’s announced 20 cities in North America, including Boston, Portland, Fort Worth, Little Rock, and Washington, D.C.\nThe platinum-selling artist is calling it the Hey Jack Tour, naming it after her current single.\nShe told us this about the song:\n“‘Hey Jack’ was such a fun song to write. I wrote it with Randy Montana, Jeremy Stover and Dave Cohen, and it was really cool writing from the perspective of you talking to a drink. I feel like a drink can be something that you lean on if you’re going through a great time or a hard time, and they get sides of you that a lot of people don’t. So, instead of calling an ex-boyfriend, you might call on some whiskey.” “25 OC: call on some whiskey" ]

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"27", "28", "GPE", "Boston" ] } ], [ { "head": [ "95", "97", "PERSON", "Dave Cohen" ], "tail": [ "29", "30", "GPE", "Portland" ] } ], [ { "head": [ "95", "97", "PERSON", "Dave Cohen" ], "tail": [ "31", "33", "GPE", "Fort Worth" ] } ], [ { "head": [ "95", "97", "PERSON", "Dave Cohen" ], "tail": [ "34", "36", "GPE", "Little Rock" ] } ], [ { "head": [ "95", "97", "PERSON", "Dave Cohen" ], "tail": [ "38", "39", "GPE", "Washington" ] } ], [ { "head": [ "95", "97", "PERSON", "Dave Cohen" ], "tail": [ "40", "41", "GPE", "D.C." ] } ], [ { "head": [ "95", "97", "PERSON", "Dave Cohen" ], "tail": [ "50", "54", "EVENT", "the Hey Jack Tour" ] } ], [ { "head": [ "95", "97", "PERSON", "Dave Cohen" ], "tail": [ "74", "76", "WORK_OF_ART", "Hey Jack" ] } ], [ { "head": [ "95", "97", "PERSON", "Dave Cohen" ], "tail": [ "89", "91", "PERSON", "Randy Montana" ] } ], [ { "head": [ "95", "97", "PERSON", "Dave Cohen" ], "tail": [ "92", "94", "PERSON", "Jeremy Stover" ] } ] ]

[ " TOUR_STARTS_IN", " TOUR_STARTS_IN", " TOUR_STARTS_IN\n\n Explanation:\n Priscilla", " TOURS_IN", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMING_AT", " PERFORMING_AT", " NAMED_AFTER", " SINGER_OF\n or\n CREATOR_OF\n or\n", " WROTE_WITH", " WROTE_WITH", " WROTE_SONG", " TOUR_STARTS_IN", " LOCATION_IN_TIME", " KICKS_OFF_IN", " KICKS_OFF_IN", " TOUR_STARTS_IN\n\n Explanation:\n The text states", " NEXT_CITY", " IN_CITY_OF\n\n Explanation:\n The text states that", " IN_CITY_OF\n\n Explanation:\n The text states that", " NEXT_IN_SEQUENCE", " NEXT_IN_SEQUENCE", " KICKS_OFF_IN", " TOUR_STARTS_IN", " WROTE_WITH", " WROTE_WITH", " WROTE_WITH", " TOUR_STARTS\n\n Explanation:\n The text states that Pr", " TOUR_STARTS_IN", " TOUR_IN\n\n Entities: \n [{'head': ['Pr", " TOUR_STARTS_IN\n\n Entities: \n [{'head", " TOUR_STOPS_IN", " TOUR_STOP_IN", " IN_CITY", " LOCATION_IN.", " IN_CITY", " WROTE", " WROTE", " WROTE", " TOUR_MEMBER", " TOUR_START_IN.", " IN_REGION", " IN_CITY", " IN_CITY", " IN_CITY", " IN_CITY", " IN_CITY", " IN_CITY", " WROTE_SONG", " WROTE", " WROTE", " TOUR_IN_LOCATION", " TOUR_STARTS_IN", " TOUR_IN_MONTH", " IN_REGION", " LOCATION_IN.", " IN_CITY", " IN_CITY", " IN_CITY", " IN_REGION", " IN_REGION", " TOUR_IN.", " TOUR_IN_LOCATION", " WROTE_WITH", " WROTE", " WROTE_WITH", " PERFORMS_IN", " IN_CITY_OF\n\n Explanation:\n The text states that", " LOCATION_IN_TIME", " IN_CITY", " INCLUDED_IN", " IN_CITY", " IN_CITY_OF\n\n Explanation:\n The text mentions", " IN_CITY_OF\n\n Explanation:\n The text mentions", " INCLUDES\n\n Explanation:\n The text mentions that Pr", " INCLUDES\n\n Explanation:\n The text mentions that Pr", " STARTS_IN", " IN_CITY", " WROTE_WITH", " WROTE_WITH", " WROTE_WITH", " PERFORMS_AT", " STARTS_IN", " LOCATION_IN_TIME", " IN_CITY", " PART_OF", " NO_RELATION", " IN_CITY_OF\n\n Explanation:\n The text mentions", " IN_CITY_OF\n\n Explanation:\n The text mentions", " NEXT_TO\n\n Explanation:\n The text mentions that Pr", " INCLUDES", " STARTS_IN", " IN_CITY", " WROTE_WITH", " WROTE_WITH", " WROTE_WITH", " LOCATION_OF\n or\n PERFORMS_AT\n or\n", " START_LOCATION\n\n Explanation:\n The text states that Pr", " LOCATION_IN_EVENT", " IN_CITY", " PART_OF", " IN_CITY_OF\n\n Explanation:\n The text states that", " TRAVELS_TO", " IN_CITY_OF\n\n Explanation:\n The text mentions", " IN_CITY_OF\n\n Explanation:\n The text mentions", " INCLUDES", " LOCATION_OF\n or\n VENUE_FOR\n or\n", " LOCATION_OF\n or\n VENUE_FOR\n\n Ex", " WROTE_WITH", " WROTE_WITH", " WROTE_WITH", " IN_CITY", " IN_CITY_OF", " LOCATION_IN\n\n Explanation:\n The text states that Little", " IN_CITY", " IN_REGION_OF", " IN_CITY_OF\n\n Explanation:\n The text mentions", " IN_CITY_OF\n\n Explanation:\n The text states that", " PREVIOUS_LOCATION_OF\n\n Explanation:\n ", " IN_CITY_OF\n\n Explanation:\n The text mentions", " INCLUDES", " LOCATION_OF\n or\n LOCATION_IN\n or\n", " IN_CITY", " WROTE_WITH", " WROTE_WITH", " WROTE_WITH", " PERFORMING_IN", " PRECEDES", " LOCATION_IN\n\n Explanation:\n The text states that Washington", " IN_CITY", " PART_OF", " INCLUDES\n\n Explanation:\n The text mentions that Pr", " IN_CITY_OF\n\n Explanation:\n The text mentions", " IN_CITY_OF\n\n Explanation:\n The text mentions", " IN_CITY_OF\n\n Explanation:\n The text mentions", " SAME_AS", " LOCATION_OF\n or\n NO_RELATION (if 'Washington", " LOCATION_OF\n or\n NO_RELATION (if 'Hey Jack", " WROTE", " WROTE", " WROTE", " LOCATION_OF\n or\n NO_RELATION (if 'Prisc", " TOUR_STOP_IN.", " LOCATION_IN_TIME", " INCLUDES", " PART_OF", " NO_RELATION", " IN_CITY_OF\n\n Explanation:\n The text mentions", " IN_CITY_OF\n\n Explanation:\n The text mentions", " NO_RELATION", " LOCATION_IN_LOCATION", " LOCATION_OF\n or\n LOCATION\n\n Explanation", " LOCATION_OF\n or\n NO_RELATION (if 'Hey Jack", " WROTE_WITH", " WROTE_WITH", " WROTE_WITH", " TOUR_OF\n\n Explanation:\n The text states that \"Pr", " TOUR_IN.", " TOUR_IN\n\n Explanation:\n The text states that Prisc", " STARTS_IN", " STOPS_IN", " LOCATION_OF\n OR\n PERFORMING_AT\n OR\n", " STOPS_IN", " LOCATION_OF\n or\n NO_RELATION (if 'Washington", " LOCATION_IN.", " WROTE", " WROTE", " WROTE", " SINGLE_OF", " TOUR_STARTS_IN", " LOCATION_OF\n\n Explanation:\n The text states that Pr", " PERFORMING_AT", " PERFORMING_AT", " TOUR_STOP_IN", " IN_CITY", " LOCATION_IN.", " LOCATION_IN.", " WROTE", " WROTE", " WROTE", " WROTE", " TOUR_LOCATION", " TOOK_PLACE_IN", " WROTE_SONG", " WROTE_IN_LOCATION", " WROTE_SONG_IN_CITY", " WROTE_SONG_IN_CITY", " WROTE_IN_LOCATION", " WROTE_IN_LOCATION", " WROTE_SONG_IN_LOCATION", " WROTE_SONG_IN_CITY", " WROTE_SONG", " WROTE", " WROTE_WITH", " WROTE_WITH", " WROTE", " ANNOUNCED_IN.", " NO_RELATION", " WROTE", " LOCATION_OF\n\n Explanation:\n The text mentions that", " WROTE_SONG_FOR\n\n Entities: \n [{'", " WROTE\n\n Explanation:\n The text mentions that Jeremy Sto", " WROTE_IN_LOCATION", " WROTE_IN_LOCATION", " WROTE_IN_LOCATION", " WROTE_IN_LOCATION", " WROTE_EVENT\n\n Explanation:\n The text states that Jeremy", " WROTE", " WROTE_WITH", " WROTE_WITH", " WROTE", " TOUR_LOCATION", " TOOK_PLACE_IN", " WROTE_SONG", " LOCATION_OF\n\n Explanation:\n The text mentions that", " WROTE_IN_LOCATION", " NO_RELATION", " WROTE_IN_LOCATION", " WROTE_IN_LOCATION", " NO_RELATION", " NO_RELATION", " WRITTEN_BY", " WROTE", " WROTE_WITH", " WROTE_WITH" ]

[ [ "0", "2", "PERSON", "Priscilla Block" ], [ "9", "11", "GPE", "San Diego" ], [ "12", "13", "DATE", "February" ], [ "20", "21", "CARDINAL", "20" ], [ "23", "25", "LOC", "North America" ], [ "27", "28", "GPE", "Boston" ], [ "29", "30", "GPE", "Portland" ], [ "31", "33", "GPE", "Fort Worth" ], [ "34", "36", "GPE", "Little Rock" ], [ "38", "39", "GPE", "Washington" ], [ "40", "41", "GPE", "D.C." ], [ "50", "54", "EVENT", "the Hey Jack Tour" ], [ "74", "76", "WORK_OF_ART", "Hey Jack" ], [ "89", "91", "PERSON", "Randy Montana" ], [ "92", "94", "PERSON", "Jeremy Stover" ], [ "95", "97", "PERSON", "Dave Cohen" ] ]

[ "This Dick Morris Lunch Alert! sponsored by Patriot Gold Group.\nClick Here to give me your thoughts and continue the discussion.\nPlease forward this email to any friends or family who may be interested in viewing my video.\nThanks for watching,\nDr. Gundry Reveals How To Help Cut Fat Without Cutting Carbs And The 1 Thing To Add To Your Coffee — CLICK HERE NOW!\nSUBSCRIBE TO RECEIVE DICK’S VIDEOS & COLUMNS FOR FREE — CLICK HERE!\nView Dick’s most recent videos in case you missed them!" ]

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[ [ { "head": [ "1", "3", "PERSON", "Dick Morris" ], "tail": [ "8", "11", "ORG", "Patriot Gold Group" ] } ], [ { "head": [ "1", "3", "PERSON", "Dick Morris" ], "tail": [ "51", "52", "PERSON", "Gundry" ] } ], [ { "head": [ "1", "3", "PERSON", "Dick Morris" ], "tail": [ "63", "64", "CARDINAL", "1" ] } ], [ { "head": [ "1", "3", "PERSON", "Dick Morris" ], "tail": [ "79", "80", "PERSON", "DICK" ] } ], [ { "head": [ "1", "3", "PERSON", "Dick Morris" ], "tail": [ "92", "93", "PERSON", "Dick" ] } ], [ { "head": [ "8", "11", "ORG", "Patriot Gold Group" ], "tail": [ "1", "3", "PERSON", "Dick Morris" ] } ], [ { "head": [ "8", "11", "ORG", "Patriot Gold Group" ], "tail": [ "51", "52", "PERSON", "Gundry" ] } ], [ { "head": [ "8", "11", "ORG", "Patriot Gold Group" ], "tail": [ "63", "64", "CARDINAL", "1" ] } ], [ { "head": [ "8", "11", "ORG", "Patriot Gold Group" ], "tail": [ "79", "80", "PERSON", "DICK" ] } ], [ { "head": [ "8", "11", "ORG", "Patriot Gold Group" ], "tail": [ "92", "93", "PERSON", "Dick" ] } ], [ { "head": [ "51", "52", "PERSON", "Gundry" ], "tail": [ "1", "3", "PERSON", "Dick Morris" ] } ], [ { "head": [ "51", "52", "PERSON", "Gundry" ], "tail": [ "8", "11", "ORG", "Patriot Gold Group" ] } ], [ { "head": [ "51", "52", "PERSON", "Gundry" ], "tail": [ "63", "64", "CARDINAL", "1" ] } ], [ { "head": [ "51", "52", "PERSON", "Gundry" ], "tail": [ "79", "80", "PERSON", "DICK" ] } ], [ { "head": [ "51", "52", "PERSON", "Gundry" ], "tail": [ "92", "93", "PERSON", "Dick" ] } ], [ { "head": [ "63", "64", "CARDINAL", "1" ], "tail": [ "1", "3", "PERSON", "Dick Morris" ] } ], [ { "head": [ "63", "64", "CARDINAL", "1" ], "tail": [ "8", "11", "ORG", "Patriot Gold Group" ] } ], [ { "head": [ "63", "64", "CARDINAL", "1" ], "tail": [ "51", "52", "PERSON", "Gundry" ] } ], [ { "head": [ "63", "64", "CARDINAL", "1" ], "tail": [ "79", "80", "PERSON", "DICK" ] } ], [ { "head": [ "63", "64", "CARDINAL", "1" ], "tail": [ "92", "93", "PERSON", "Dick" ] } ], [ { "head": [ "79", "80", "PERSON", "DICK" ], "tail": [ "1", "3", "PERSON", "Dick Morris" ] } ], [ { "head": [ "79", "80", "PERSON", "DICK" ], "tail": [ "8", "11", "ORG", "Patriot Gold Group" ] } ], [ { "head": [ "79", "80", "PERSON", "DICK" ], "tail": [ "51", "52", "PERSON", "Gundry" ] } ], [ { "head": [ "79", "80", "PERSON", "DICK" ], "tail": [ "63", "64", "CARDINAL", "1" ] } ], [ { "head": [ "79", "80", "PERSON", "DICK" ], "tail": [ "92", "93", "PERSON", "Dick" ] } ], [ { "head": [ "92", "93", "PERSON", "Dick" ], "tail": [ "1", "3", "PERSON", "Dick Morris" ] } ], [ { "head": [ "92", "93", "PERSON", "Dick" ], "tail": [ "8", "11", "ORG", "Patriot Gold Group" ] } ], [ { "head": [ "92", "93", "PERSON", "Dick" ], "tail": [ "51", "52", "PERSON", "Gundry" ] } ], [ { "head": [ "92", "93", "PERSON", "Dick" ], "tail": [ "63", "64", "CARDINAL", "1" ] } ], [ { "head": [ "92", "93", "PERSON", "Dick" ], "tail": [ "79", "80", "PERSON", "DICK" ] } ] ]

[ " SPONSOR", " REVEALS", " SPONSORS", " SAME_PERSON", " SAME_PERSON", " SPONSOR", " SPONSOR", " SPONSOR", " SPONSOR", " SPONSOR", " SPONSOR", " SPONSOR", " REVEALS", " AUTHOR_OF\n\n Explanation:\n The text mentions that Dr", " AUTHOR_OF\n\n Explanation:\n The text mentions that '", " SPONSOR", " SPONSOR", " DISCUES \n or\n MENTIONS \n or\n ", " SPONSOR", " SPONSOR", " SELF_REFERENCE", " SPONSOR", " AUTHOR_OF\n\n Explanation:\n The text mentions that Dick", " NO_RELATION", " SAME_PERSON", " SPONSOR", " SPONSOR", " KNOWS", " SPONSOR", " SAME_PERSON" ]

[ [ "1", "3", "PERSON", "Dick Morris" ], [ "8", "11", "ORG", "Patriot Gold Group" ], [ "51", "52", "PERSON", "Gundry" ], [ "63", "64", "CARDINAL", "1" ], [ "79", "80", "PERSON", "DICK" ], [ "92", "93", "PERSON", "Dick" ] ]

[ "Betalt ved levering\nConverting the python model in C++. Installing the model in microcontroller.\nProjekt ID: #37487825\n9 freelancere byder i gennemsnit ₹10111 timen for dette job\nHi, I have experience working with tensorflow and onnx models. Please check my previous projects on freelancer. Feel free to message me for discussion and implementation. Regards, Janki\nHi I am good in python,C/C++ and Tensorflow pytorch onnx. And also inferencing models on different microcontrollers. I think I am good fit for this project please consider me." ]

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[ " DEVELOPS_WITH\n\n Explanation:\n The text mentions", " PROVIDES_NUMBER_OF_PERSONS", " PAYS_FOR\n or\n PAYMENT_FOR\n or\n", " PAID_FOR", " HIRED_BY", " USED_FOR. This relation indicates that the head entity (Betalt ved) is used", " PAID_BY", " PROVIDES_NUMBER_OF_PERSONS_FOR_JOB", " PROVIDES_RESOURCE_WITH_TIME\n\n Explanation:\n The", " ASSIGNED_PROJECT", " DEVELOPER_FOR_PROJECT", " PAYS_FOR", " DEVELOPS_WITH\n\n Explanation:\n The text mentions", " PROVIDES_NUMBER_OF_TIMES_FOR_JOB", " PROVIDES_SERVICES", " PROVIDES_SERVICES_FOR", " PROVIDES_SERVICE", " PAID_BY", " INSTALLATION_FOR_PRODUCT\n or\n DEVELOPMENT", " PROVIDES_NUMBER_OF_PERSONS\n\n Explanation:\n ", " PROVIDES_RESOURCE_FOR\n or\n WORKS_ON\n ", " PROVIDES_SERVICE_FOR\n or\n WORKED_FOR\n or", " COSTS\n or\n PAID_BY\n\n Explanation:", " PAID_BY", " ASSIGNED_TO_PROJECT_WITH_TECHNOLOGY", " PROVIDES_NUMBER_OF_FREELANCERS", " COSTS\n or\n PAID_FOR\n or\n TIME_", " WORKED_FOR", " USED_FOR", " PAID_BY", " EXPERTISE_IN_TECHNOLOGY", " PROVIDES_NUMBER_OF_PERSONS", " PROVIDES_RESOURCE\n or\n WORKS_FOR\n or\n", " WORKED_FOR", " EXPERIENCED_WITH", " DEVELOPED_BY", " DEVELOPERS_FOR_PRODUCT", " DEVELOPED_WITH", " ASSOCIATED_WITH", " DEVELOPER_OF" ]

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[ "ANNOUCEMENT || The College of Medicine Batch 1998 spearheaded by Dr. Allan P. Arreola extends a warm-hearted gesture by donating computer, photocopier, and school supplies to our scholars. It was received by our president Atty. Alberto Rafael L. Aportadera, assisted by the Director of Alumni and External Affairs, Dr. Agne S. Polinar. This generosity witnessed by our COO, Dr. Oliver G. Victoriano, deans of the colleges and Administrative officers. This thoughtful contribution will significantly enhance their academic journey. Thank you, Batch ’98, your unwavering dedication to the success of our scholars serves as a shining example of the College’s commitment to excellence in education.\n#DMSFI #DavaoMedicalSchoolFoundation #MedicalEducation #DavaoCity" ]

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[ " SPEARHEADED", " RECIPIENT_OF_DONATION", " RECIPIENT_OF_DONATION", " WITNESS", " IDENTIFIED_BY", " ALUMNUS_OF", " SPEARHEADED", " DONATED_TO", " SPEARHEADED", " SPEARHEADS", " SPEARHEADED", " SPEARHEADED", " RECIPIENT_OF_DONATION", " RECIPIENT_OF\n\n Explanation:\n In the text,", " RECEIVED_FROM", " RECEIVED_FROM", " RECIPIENT_OF\n #This is the correct answer. The president received the", " RECIPIENT_OF\n #This is the correct answer. The president, A", " RECIPIENT_OF_DONATION", " RECIPIENT_OF\n\n Explanation:\n Agne S.", " RECEIVED_FROM", " ASSISTED_BY", " RECIPIENT_OF\n or\n ACCEPTED_BY\n or", " RECEIVED_FROM", " DELEGATED_FROM", " WITNESSED_BY", " WITNESSED_BY", " ASSISTED_BY", " WITNESSED", " DEPENDENT_OF\n or\n WITNESSED_BY\n ", " 'ORG_FOUNDED_BY'", " SPEARHEADED", " RECIPIENT_OF_DONATION", " RECIPIENT", " WITNESSED", " ALUMNUS_OF", " SPEARHEADED_BY", " SPEARHEADED", " RECIPIENT_OF\n\n Explanation:\n The College of Medicine", " RECEIVED_FROM", " WITNESS", " SPEARHEADED" ]

[ [ "3", "7", "ORG", "College of Medicine Batch" ], [ "11", "14", "PERSON", "Allan P. Arreola" ], [ "41", "45", "PERSON", "Alberto Rafael L. Aportadera" ], [ "57", "60", "PERSON", "Agne S. Polinar" ], [ "69", "72", "PERSON", "Oliver G. Victoriano" ], [ "94", "97", "DATE", "Batch ’98" ], [ "114", "115", "ORG", "College" ] ]

[ "View the Max Seasons Greetings Ecard\nMax is a dark brown Labrador with a red bow around his neck and he is sitting in front of a sweet country grey stone house with snow on the roof and a chimney. The front door is red and there is a large square stone pathway with a lantern. The house is surrounded by trees and bushes. Snowflakes are falling and more lanterns appear on the pathway. One of the bushes shakes and suddenly we see a brown horse pulling a red sleigh with a Christmas wreath and in the sleigh are a gold female Labrador with a light blue bow around her neck sitting in the sleigh and behind here are several adorable Labrador puppies sitting on the higher sleigh seats. The final banner appears at the top of the screen with the words happy holidays written in a beautiful orange and green Christmas font." ]

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[ [ { "head": [ "5", "6", "PERSON", "Ecard" ], "tail": [ "7", "8", "PERSON", "Max" ] } ], [ { "head": [ "5", "6", "PERSON", "Ecard" ], "tail": [ "79", "80", "CARDINAL", "One" ] } ], [ { "head": [ "5", "6", "PERSON", "Ecard" ], "tail": [ "157", "158", "DATE", "Christmas" ] } ], [ { "head": [ "7", "8", "PERSON", "Max" ], "tail": [ "5", "6", "PERSON", "Ecard" ] } ], [ { "head": [ "7", "8", "PERSON", "Max" ], "tail": [ "79", "80", "CARDINAL", "One" ] } ], [ { "head": [ "7", "8", "PERSON", "Max" ], "tail": [ "157", "158", "DATE", "Christmas" ] } ], [ { "head": [ "79", "80", "CARDINAL", "One" ], "tail": [ "5", "6", "PERSON", "Ecard" ] } ], [ { "head": [ "79", "80", "CARDINAL", "One" ], "tail": [ "7", "8", "PERSON", "Max" ] } ], [ { "head": [ "157", "158", "DATE", "Christmas" ], "tail": [ "5", "6", "PERSON", "Ecard" ] } ], [ { "head": [ "157", "158", "DATE", "Christmas" ], "tail": [ "7", "8", "PERSON", "Max" ] } ] ]

[ " SUBJECT_OF\n\n Entities: \n [{'head': ['5", " Ecard -has- One:number_of_Labradors_in_s", " THEME", " VIEWS_ECARD", " VIEWED_BY", " CELEBRATES", " ENTITY_TYPE_OF\n\n Explanation:\n The text describes", " OWNER", " THEME", " CELEBRATED_BY" ]

[ [ "5", "6", "PERSON", "Ecard" ], [ "7", "8", "PERSON", "Max" ], [ "79", "80", "CARDINAL", "One" ], [ "157", "158", "DATE", "Christmas" ] ]

[ "Talent comes from a rural area in west Zimbabwe, where her father works as a subsistence farmer. CAMFED sponsored Talent’s public high school education. As part of her scholarship, she volunteered as a peer educator in primary and secondary schools in her community, where she led workshops to promote education, especially to young women.\nTalent knew EARTH provided the kind of education she needed to make a real change in her country. “You must employ yourself through agriculture. It is a life skill. I think that’s why I’ve always liked agriculture. Our education in most African countries is very theoretical. The problem is that after graduation the person is only looking for an employer. But if one learns practical skills, they can employ themselves. It is for that reason that I wanted to come to EARTH.”" ]

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[ " ORIGIN_FROM", " SPONSORSHIP", " SELF_REFERENCE", " SELF_REFERENCE", " WANTED_TO_ATTEND", " EDUCATION_PROVIDED_BY\n\n Explanation:\n ", " ORIGIN_IN.", " SPONSOR", " ORIGIN_IN.", " ORIGIN_IN.", " WANTED_TO_ATTEND", " EDUCATION_LOCATION", " SPONSOR", " SPONSOR_OF", " SPONSOR", " SPONSOR", " SPONSOR", " SPONSOR_OF", " SELF_REFERENCE", " ORIGIN_FROM", " SPONSORSHIP", " SELF_REFERENCE", " WANTED_TO_ATTEND", " EDUCATION_SYSTEM_OF.", " SELF_REFERENCE", " ORIGIN", " SPONSOR", " SELF_REFERENCE", " WANTED_TO_ATTEND", " EDUCATION_PLACE\n\n Explanation:\n Talent is", " WANTED_TO_ATTEND", " WENT_TO_FOR_EDUCATION_IN", " SPONSOR", " WANTED_TO_ATTEND", " WANTED_TO_ATTEND", " EDUCATION_PROVIDED_BY", " EDUCATED_BY\n\n Explanation:\n Talent is the", " LOCATION_OF_ORIGIN", " SPONSOR", " EDUCATED_BY\n\n Explanation:\n Talent is the", " EDUCATED_BY\n\n Explanation:\n Talent is the", " WANTED_FOR_EDUCATION" ]

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[ "Safari inspired looks are always popular during the spring and summer. So, classic items in khaki and beige, like today’s Gap shirtdress I purchased in 2010, are always right on trend. Today, I’m wearing the shirtdress layered over a white button down shirt (using a J.Crew layering light tip) for a crisp and fresh look.\nDress—Gap | new Gap shirtdress option\nShirt—Loft | similar\nBelt—Anthropologie | similar\nFlats—Ivanka Trump via Marshalls ($39 on clearance)\nWatch—Michael Kors via Nordstrom Rack\nSunglasses—Cole Haan via TJ Maxx | similar" ]

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"69", "70", "ORG", "Gap" ] } ], [ { "head": [ "106", "108", "ORG", "Nordstrom Rack" ], "tail": [ "72", "73", "ORG", "Gap" ] } ], [ { "head": [ "106", "108", "ORG", "Nordstrom Rack" ], "tail": [ "78", "79", "ORG", "Loft" ] } ], [ { "head": [ "106", "108", "ORG", "Nordstrom Rack" ], "tail": [ "84", "85", "ORG", "Anthropologie" ] } ], [ { "head": [ "106", "108", "ORG", "Nordstrom Rack" ], "tail": [ "90", "92", "PERSON", "Ivanka Trump" ] } ], [ { "head": [ "106", "108", "ORG", "Nordstrom Rack" ], "tail": [ "93", "94", "ORG", "Marshalls" ] } ], [ { "head": [ "106", "108", "ORG", "Nordstrom Rack" ], "tail": [ "96", "97", "MONEY", "39" ] } ], [ { "head": [ "106", "108", "ORG", "Nordstrom Rack" ], "tail": [ "103", "105", "PERSON", "Michael Kors" ] } ], [ { "head": [ "106", "108", "ORG", "Nordstrom Rack" ], "tail": [ "111", "113", "ORG", "Cole Haan" ] } ], [ { "head": [ "106", "108", "ORG", "Nordstrom Rack" ], "tail": [ "114", "116", "ORG", "TJ Maxx" ] } ], [ { "head": [ "111", "113", "ORG", "Cole Haan" ], "tail": [ "0", "1", "ORG", "Safari" ] } ], [ { "head": [ "111", "113", "ORG", "Cole Haan" ], "tail": [ "7", "9", "DATE", "the spring" ] } ], [ { "head": [ "111", "113", "ORG", "Cole Haan" ], "tail": [ "10", "11", "DATE", "summer" ] } ], [ { "head": [ "111", "113", "ORG", "Cole Haan" ], "tail": [ "22", "23", "DATE", "today" ] } ], [ { "head": [ "111", "113", "ORG", "Cole Haan" ], "tail": [ "24", "25", "ORG", "Gap" ] } ], [ { "head": [ "111", "113", "ORG", "Cole Haan" ], "tail": [ "29", "30", "DATE", "2010" ] } ], [ { "head": [ "111", "113", "ORG", "Cole Haan" ], "tail": [ "37", "38", "DATE", "Today" ] } ], [ { "head": [ "111", "113", "ORG", "Cole Haan" ], "tail": [ "54", "55", "ORG", "J.Crew" ] } ], [ { "head": [ "111", "113", "ORG", "Cole Haan" ], "tail": [ "69", "70", "ORG", "Gap" ] } ], [ { "head": [ "111", "113", "ORG", "Cole Haan" ], "tail": [ "72", "73", "ORG", "Gap" ] } ], [ { "head": [ "111", "113", "ORG", "Cole Haan" ], "tail": [ "78", "79", "ORG", "Loft" ] } ], [ { "head": [ "111", "113", "ORG", "Cole Haan" ], "tail": [ "84", "85", "ORG", "Anthropologie" ] } ], [ { "head": [ "111", "113", "ORG", "Cole Haan" ], "tail": [ "90", "92", "PERSON", "Ivanka Trump" ] } ], [ { "head": [ "111", "113", "ORG", "Cole Haan" ], "tail": [ "93", "94", "ORG", "Marshalls" ] } ], [ { "head": [ "111", "113", "ORG", "Cole Haan" ], "tail": [ "96", "97", "MONEY", "39" ] } ], [ { "head": [ "111", "113", "ORG", "Cole Haan" ], "tail": [ "103", "105", "PERSON", "Michael Kors" ] } ], [ { "head": [ "111", "113", "ORG", "Cole Haan" ], "tail": [ "106", "108", "ORG", "Nordstrom Rack" ] } ], [ { "head": [ "111", "113", "ORG", "Cole Haan" ], "tail": [ "114", "116", "ORG", "TJ Maxx" ] } ], [ { "head": [ "114", "116", "ORG", "TJ Maxx" ], "tail": [ "0", "1", "ORG", "Safari" ] } ], [ { "head": [ "114", "116", "ORG", "TJ Maxx" ], "tail": [ "7", "9", "DATE", "the spring" ] } ], [ { "head": [ "114", "116", "ORG", "TJ Maxx" ], "tail": [ "10", "11", "DATE", "summer" ] } ], [ { "head": [ "114", "116", "ORG", "TJ Maxx" ], "tail": [ "22", "23", "DATE", "today" ] } ], [ { "head": [ "114", "116", "ORG", "TJ Maxx" ], "tail": [ "24", "25", "ORG", "Gap" ] } ], [ { "head": [ "114", "116", "ORG", "TJ Maxx" ], "tail": [ "29", "30", "DATE", "2010" ] } ], [ { "head": [ "114", "116", "ORG", "TJ Maxx" ], "tail": [ "37", "38", "DATE", "Today" ] } ], [ { "head": [ "114", "116", "ORG", "TJ Maxx" ], "tail": [ "54", "55", "ORG", "J.Crew" ] } ], [ { "head": [ "114", "116", "ORG", "TJ Maxx" ], "tail": [ "69", "70", "ORG", "Gap" ] } ], [ { "head": [ "114", "116", "ORG", "TJ Maxx" ], "tail": [ "72", "73", "ORG", "Gap" ] } ], [ { "head": [ "114", "116", "ORG", "TJ Maxx" ], "tail": [ "78", "79", "ORG", "Loft" ] } ], [ { "head": [ "114", "116", "ORG", "TJ Maxx" ], "tail": [ "84", "85", "ORG", "Anthropologie" ] } ], [ { "head": [ "114", "116", "ORG", "TJ Maxx" ], "tail": [ "90", "92", "PERSON", "Ivanka Trump" ] } ], [ { "head": [ "114", "116", "ORG", "TJ Maxx" ], "tail": [ "93", "94", "ORG", "Marshalls" ] } ], [ { "head": [ "114", "116", "ORG", "TJ Maxx" ], "tail": [ "96", "97", "MONEY", "39" ] } ], [ { "head": [ "114", "116", "ORG", "TJ Maxx" ], "tail": [ "103", "105", "PERSON", "Michael Kors" ] } ], [ { "head": [ "114", "116", "ORG", "TJ Maxx" ], "tail": [ "106", "108", "ORG", "Nordstrom Rack" ] } ], [ { "head": [ "114", "116", "ORG", "TJ Maxx" ], "tail": [ "111", "113", "ORG", "Cole Haan" ] } ] ]

[ " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " INSPIRED_BY", " SIMILAR", " SELLER_OF\n\n Explanation:\n The text mentions that", " PRODUCED_BY", " SOLD_AT", " PRICE_OF\n\n Explanation:\n The text mentions that the", " BRAND_OF\n\n Explanation:\n The text mentions that", " SELLER_OF\n\n Explanation:\n The text mentions that", " PRODUCED_BY", " SELLER_OF\n\n Explanation:\n The text mentions that", " INSPIRED_BY", " BOUGHT_FROM", " USE_CONTEXT\n The context mentions that the speaker is wearing a J.Crew", " PURCHASED_FROM", " PURCHASED_FROM", " SELLER_OF\n\n Explanation:\n The text mentions that", " SELLER_OF\n\n Explanation:\n The text mentions that", " BUYS\n\n Explanation:\n The text states that the speaker bought", " SALE_AT", " BOUGHT_BY", " BUY_FROM", " SPRING_WITH_PRODUCT", " BUY_FROM", " INSPIRED_BY", " PURCHASED_FROM", " USED_FOR_LAYERING", " PURCHASED_FROM", " PURCHASED_FROM", " PURCHASED_FROM", " BOUGHT_FROM", " BOUGHT_FROM\n or\n PURCHASED_FROM\n or", " DISCOUNTED_AT", " BOUGHT_BY", " BOUGHT_FROM", " SOLD_BY", " BUY_FROM", " INSPIRED_BY", " PURCHASED_FROM", " USE_LAYERING_TIP_FROM", " PURCHASED_FROM", " PURCHASED_FROM", " SELLER_OF\n\n Explanation:\n The text states that the", " BOUGHT_FROM", " BUYER_OF\n # This model is a relation extractor and only outputs valid", " PURCHASED_FROM", " SOLD_BY", " BOUGHT_FROM", " SELLER_OF\n\n Explanation:\n The text mentions that", " BOUGHT_FROM", " INSPIRED_BY", " SELLER_OF\n Or, if no relation exists:\n NO_REL", " SELLS_IN\n\n Explanation:\n The text states that the", " PURCHASED_ON.", " PURCHASED", " PURCHASED_ON\n\n Explanation:\n The text states that", " USED_FOR_LAYERING", " SELLER_OF\n or\n MANUFACTURER_OF", " SELLER_OF\n Or, if no relation exists:\n NO_REL", " COMPARABLE_PRODUCTS", " PROVIDES_BELT", " BUYS\n\n Explanation:\n The text states that the speaker purchased", " SOLD_AT", " PRICE_OF\n OR:\n NO_RELATION", " SELLER_OF\n\n Explanation:\n The text mentions that", " SOLD_BY", " SELLER_OF\n # This relation indicates that 'Gap' sells or sold", " SELLER_OF\n # This relation indicates that the head entity (Gap) is", " INSPIRED_BY", " PURCHASED_FROM", " USED_FOR_LAYERING", " PURCHASED_FROM", " PURCHASED_FROM", " BOUGHT\n Or, if no relation exists:\n NO_RELATION", " BOUGHT_FROM", " PURCHASED_FROM", " PURCHASED_FROM", " SOLD_BY", " PURCHASED_FROM", " PURCHASED_FROM", " BOUGHT_FROM", " INSPIRED_BY", " PURCHASED_FROM", " USE_PREPOSITION\n using", " PURCHASED_FROM", " PURCHASED_FROM", " SOLD_BY", " BOUGHT_FROM", " PURCHASED_FROM", " PURCHASED_FROM", " SOLD_BY", " BOUGHT_FROM", " SELLER_OF\n\n Explanation:\n The text mentions that", " BOUGHT_FROM", " INSPIRED_BY", " SPRING_BEFORE_EVENT\n\n Explanation:\n The text", " LAYERING_TIP", " LAYERING_TIP", " USES_TIP_FROM", " LAYERING_TIP", " LAYERING_TIP", " USES_LAYERING_TIP", " USES_TIP_FROM", " SIMILAR", " USES_PRODUCT_FROM", " SELLER_OF\n\n Explanation:\n The text mentions that", " SELLER_OF\n\n Explanation:\n The text mentions that", " LAYERING_TIP", " FROM_BRAND", " SELLER_OF\n\n Explanation:\n The text mentions that", " USES_TIP_FROM", " SELLER_OF\n or\n NO_RELATION (if J.C", " INSPIRED_BY", " SELLER_OF\n Or, if no relation exists:\n NO_REL", " SELLS_IN\n\n Explanation:\n The text states that the", " PURCHASED_ON", " SELLER_OF\n Or, if no relation exists:\n NO_REL", " PURCHASED_DATE", " PURCHASED_ON.", " USED_FOR_LAYERING", " SELF_SAME", " COMPARABLE_PRODUCTS", " BELONGS_TO", " BUYS\n\n Explanation:\n The text states that the speaker purchased", " SOLD_AT", " PRICE_OF\n\n Explanation:\n The text mentions that the", " SOLD_BY", " SOLD_BY", " PRODUCED_BY", " SELLER_OF\n # This model is a fantastic relation extraction model who only", " INSPIRED_BY", " SELLER_OF\n Or, if no relation exists:\n NO_REL", " SELLS_IN\n\n Explanation:\n The text mentions that", " PURCHASED_ON.", " SELF_SAME", " SOLD_IN_YEAR", " PURCHASED_ON.", " USED_FOR_LAYERING", " SELF_SAME", " COMPARABLE_PRODUCTS", " SELLER_OF\n\n Explanation:\n The text mentions that", " BUYS\n\n Explanation:\n The text states that the speaker purchased", " SOLD_AT", " PRICE_OF\n OR:\n NO_RELATION", " SELLER_OF\n\n Explanation:\n The text mentions that", " SOLD_BY", " SELLER_OF\n or\n PRODUCED_BY\n or", " SELLER_OF\n # This model is a relation extractor and only outputs valid", " INSPIRED_BY", " SELLER_OF\n or\n PRODUCED_IN\n\n ", " SELLER_OF\n This text describes a Loft shirt being worn during the summer", " SELLER_OF\n OR:\n PRODUCED_IN\n ", " SELLER_OF\n\n Explanation:\n The text mentions that", " SOLD_DATE_OF\n\n Explanation:\n The text mentions", " SELLER_OF\n or\n PRODUCED_BY\n or", " SIMILAR", " SELLER_OF\n or\n PRODUCED_BY\n or", " SELLER_OF\n or\n PRODUCED_BY\n or", " DIFFERENT_FROM", " SELLER_OF\n\n Explanation:\n The text mentions that", " SELLER_OF\n # This relation indicates that the entity at the head of the", " SIMILAR", " SOLD_BY", " SELLER_OF\n\n Explanation:\n The text mentions that", " SELLER_OF\n\n Explanation:\n The text mentions that", " SELLER_OF\n\n Explanation:\n The text mentions that", " SELLER_OF\n\n Explanation:\n The text mentions that", " SELLER_OF_ITEM_IN_SEASON", " SELLER_OF\n\n Explanation:\n The text states that the", " SELLER_OF\n # This model is a relation extraction model that only outputs", " SELLER_OF\n\n Explanation:\n The text mentions that", " SOLD_DATE_OF", " SELLER_OF\n or\n PRODUCED_BY\n or", " USED_FOR_LAYERING", " SELLER_OF\n\n Explanation:\n The text states that the", " SELLER_OF\n\n Explanation:\n The text mentions that", " SELLER_OF\n # This relation indicates that 'Anthropologie' sold", " SELLER_OF\n\n Explanation:\n The text mentions that", " SOLD_BY", " PRICE_OF\n OR:\n NO_RELATION", " SELLER_OF\n\n Explanation:\n The text mentions that", " SELLER_OF\n\n Explanation:\n The text mentions that", " SELLER_OF\n # This relation indicates that 'Anthropologie' sell", " SELLER_OF\n # This relation indicates that 'Anthropologie' sell", " INSPIRED_BY", " SPRING_WITH_PERSON", " WEARS_IN\n\n Explanation:\n The text mentions that", " PURCHASED_ON", " BOUGHT_FROM", " PURCHASED_DATE", " WEARS\n Or\n NO_RELATION", " BOUGHT_FROM", " PURCHASED_FROM", " PURCHASED_FROM", " BOUGHT_FROM", " SOLD_BY", " BOUGHT_FROM", " PRICE_OF\n or\n NO_RELATION (if 'Ivanka", " SELLER_OF\n\n Explanation:\n The text mentions that", " SOLD_BY", " SELLER_OF\n Or, if no relation exists:\n NO_REL", " BOUGHT_FROM", " SOLD_AT", " SALE_AT\n\n Explanation:\n The text mentions that the", " SALE_DATE\n or\n NO_RELATION (if 'summer'", " DISCOUNTED_AT", " SOLD_BY", " SOLD_DATE", " DISCOUNTED_AT", " SOLD_BY", " SOLD_BY", " SOLD_BY", " SELLER_OF\n\n Explanation:\n The text mentions that", " SELLER_OF\n or\n NO_RELATION (if 'Marsh", " SOLD_BY", " DISCOUNTED_PRICE\n or\n PRICE\n or\n S", " SOLD_BY", " SELLER_OF\n Or, if no relation exists:\n NO_REL", " SELLER_OF\n # This relation indicates that 'Marshalls' sold '", " SELLER_OF\n Or, if no relation exists:\n NO_REL", " PRICE_FROM", " PRICE_FROM", " DISCOUNTED_FROM\n or\n SOLD_BY\n or\n ", " PRICE_FROM", " PRICE_FROM", " PRICE_FROM", " SOLD_BY", " BOUGHT_BY", " DISCOUNTED_AT", " SOLD_BY", " PURCHASED_FROM", " PURCHASED_FROM", " PURCHASED_FROM", " INSPIRED_BY", " SELLER_OF\n or\n NO_RELATION (if 'Michael", " SELLER_OF\n or\n NO_RELATION (if 'Michael", " OWNED_BY", " SOLD_BY", " SOLD_DATE_OF\n or\n NO_RELATION (if 'M", " SELF_WEARS_ON\n\n Explanation:\n The", " BOUGHT_FROM", " purchased_from", " purchased_from", " purchased_from", " SOLD_BY", " SELLER_OF\n or\n NO_RELATION (if 'Michael", " SOLD_AT", " SOLD_FOR\n or\n PRICE\n\n Explanation:\n", " SOLD_BY", " SELF_PURCHASED_FROM", " SOLD_BY", " SOLD_BY", " SELLER_OF\n # This model is a fantastic relation extraction model who only", " SELLER_OF\n # This relation indicates that the Nordstrom Rack sold", " SELLER_OF\n # This model is a relation extractor, not a question", " SOLD_BY", " SOLD_IN_YEAR", " SELLER_OF\n # This relation indicates that 'Nordstrom Rack", " SELLER_OF\n or\n RECOMMENDED_BY\n or", " SOLD_BY", " SOLD_BY", " SELLER_OF\n\n Explanation:\n The text mentions that", " SELLER_OF\n # This relation indicates that 'Anthropologie' is", " SELLER_OF\n # The Nordstrom Rack sold Ivanka Trump'", " SELLER_OF\n Or, if no relation exists:\n NO_REL", " PRICE_WITH_MONEY", " SELLER_OF\n # This model is a fantastic relation extraction model who only", " SELLER_OF\n # This model is a relation extractor and only outputs valid", " SELLER_OF\n or\n SOLD_BY\n\n (Note", " INSPIRED_BY", " SPRING_BEFORE", " SUMMER_OF\n\n Explanation:\n The text mentions", " PRODUCED_IN\n\n Explanation:\n The text states that", " SELLER_OF\n Or, if no relation exists:\n NO_REL", " PRODUCED_IN_YEAR", " SELLER_OF\n\n Explanation:\n The text mentions that", " FROM_RETAILER", " SELLER_OF\n or\n MANUFACTURER_OF", " SELLER_OF\n Or, if no relation exists:\n NO_REL", " SELLER_OF\n\n Explanation:\n The text mentions that", " SELLER_OF\n\n Explanation:\n The text mentions that", " BRAND_OF\n\n Explanation:\n The text mentions that", " SELLER_OF\n\n Explanation:\n The text mentions that", " PRICE_OF\n OR:\n NO_RELATION", " SELLER_OF\n or\n PRODUCED_BY\n or", " SELLER_OF\n\n Explanation:\n The text mentions that", " SELLER_OF\n # This model is a relation extraction model that only outputs", " SELLER_OF\n\n Explanation:\n The text mentions that", " SPRING_BEFORE\n\n Explanation:\n The text mentions", " SELLER_OF\n OR\n LOCATION_OF\n OR\n", " SELLER_OF\n # This model is a fantastic relation extraction model who only", " SELLER_OF\n\n Explanation:\n The text mentions that", " SOLD_DATE_OF\n OR\n NO_RELATION (if no relation", " SELLER_OF\n # This model is a fantastic relation extraction model who only", " SELLER_OF\n or\n NO_RELATION (if 'J.", " SELLER_OF\n\n Explanation:\n The text mentions that", " SELLER_OF\n Or, if no relation exists:\n NO_REL", " SELLER_OF\n\n Explanation:\n The text mentions that", " SELLER_OF\n # This relation indicates that 'TJ Maxx' sell", " SELLER_OF\n\n Explanation:\n The text mentions that", " SELLER_OF\n or\n SOLD_BY\n\n (Note", " PRICE_WITH_MONEY", " SELLER_OF\n # This model is a fantastic relation extraction model who only", " SELLER_OF\n or\n SOLD_BY\n\n The text", " SELLER_OF\n # This model is a fantastic relation extraction model who only" ]

[ [ "0", "1", "ORG", "Safari" ], [ "7", "9", "DATE", "the spring" ], [ "10", "11", "DATE", "summer" ], [ "22", "23", "DATE", "today" ], [ "24", "25", "ORG", "Gap" ], [ "29", "30", "DATE", "2010" ], [ "37", "38", "DATE", "Today" ], [ "54", "55", "ORG", "J.Crew" ], [ "69", "70", "ORG", "Gap" ], [ "72", "73", "ORG", "Gap" ], [ "78", "79", "ORG", "Loft" ], [ "84", "85", "ORG", "Anthropologie" ], [ "90", "92", "PERSON", "Ivanka Trump" ], [ "93", "94", "ORG", "Marshalls" ], [ "96", "97", "MONEY", "39" ], [ "103", "105", "PERSON", "Michael Kors" ], [ "106", "108", "ORG", "Nordstrom Rack" ], [ "111", "113", "ORG", "Cole Haan" ], [ "114", "116", "ORG", "TJ Maxx" ] ]

[ "Community-Wide Friday Night Hub + Reproductive Rights Shabbat\nFriday, February 9 | 6:00 PM | Temple Emanu-El, Fifth Avenue Sanctuary\nFor the first time, Friday Night Hub will be open to the entire community, regardless of age.\nIn observance of National Reproductive Rights Shabbat, we welcome special guest Senator Liz Krueger to begin the service with a sermon on reproductive rights and Jewish values.\nExperience a reimagined Friday night worship service the Israeli newspaper Haaretz has called a “musical prayer phenomenon” with the melodies of our ancient prayers rewritten by Israeli superstar David Broza, who performs with a choir and a 20-member band, enhanced by brilliant lighting. More Information" ]

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[ " SPEAKER", " MENTIONED_IN.", " PERFORMS", " SPEAKER", " MENTIONED_IN.", " PERFORMS", " SPEAKER", " MENTIONED_IN.", " PERFORMS", " SPEAKER", " MENTIONED_IN.", " PERFORMS", " SPEAKER", " MENTIONED_IN.", " PERFORMS", " SPEAKER", " CALLED_BY", " PERFORMS", " SPEAKER", " MENTIONED_IN.", " PERFORMS", " SPEAKER", " MENTIONED_IN.", " PERFORMS", " SPEAKER", " SPEAKER", " SPEAKS_AT", " SPEAKER", " SPEAKER", " SPEAKER", " SPEAKER", " SPEAKER_AT\n Or\n NO_RELATION (if 'Liz", " SPEAKER", " SPEAKER", " SPEAKER", " SPEAKER", " SPEAKER_AT\n\n Explanation:\n In the text, it", " SPEAKER", " SPEAKER", " SPEAKER", " SPEAKER", " MENTIONED_IN.", " PERFORMS.", " SPEAKER", " MENTIONED_IN.", " PERFORMS", " SPEAKER", " MENTIONED_IN.", " PERFORMS", " SPEAKER", " MENTIONED_IN.", " PERFORMS", " REPORTED_BY", " HAS_EVENT_DATE", " MENTIONED_IN\n\n Explanation:\n The text mentions", " MENTIONED_IN.", " MENTIONED_IN.", " HAS_PRESSED\n\n Explanation:\n The text mentions", " HAS_REPORTED", " REPORTED_EVENT_OF", " SPEAKER", " HAS_AFFILIATION", " REPORTED_IN", " CALLED_EVENT_BY\n OR\n DESCRIBED_EVENT_", " IS_FROM\n\n Explanation:\n The text mentions that the Israeli", " HAS_AFFILIATION", " HAS_PERFORMED", " HAS_PART\n\n Explanation:\n The text mentions that the", " SPEAKER", " MENTIONED_IN.", " PERFORMS", " PERFORMS_AT", " PERFORMS_ON", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT\n\n Explanation:\n The text states that \"", " PERFORMS_AT", " SPEAKS_AT\n\n Explanation:\n The text mentions that", " SPEAKER", " MUSICIAN_OF\n\n Explanation:\n The text states", " PERFORMS_ON", " PERFORMS_AT", " IS_FROM\n\n Explanation:\n The text mentions that David Bro", " MENTIONED_IN.", " IS_FROM\n\n Explanation:\n The text mentions that \"Is", " PERFORMS_WITH", " SPEAKER", " MENTIONED_IN.", " PERFORMS" ]

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[ "Legal nature of ownership of euro\nQuestion for written answer E-006243/2011\nto the Commission\nMario Borghezio (EFD)\nThere is currently an ongoing international scientific debate on the seigniorage of currency; the entire monetary system is based on seigniorage, which derives from the issuance of currency.\nAt present, it is impossible to identify who the creditors and who the debtors are as regards the circulation of the euro; however, European peoples have every right to know whether they are ‘creditors’ (i.e. owners) or ‘debtors’ (i.e. non-owners) of the value of all the euro currently in circulation.\nCan the Commission therefore specify, clearly and definitively, who the legal owner of the euro is at the moment of issuance?\nOJ C 128 E, 03/05/2012" ]

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[ [ { "head": [ "15", "16", "ORG", "Commission" ], "tail": [ "17", "19", "PERSON", "Mario Borghezio" ] } ], [ { "head": [ "15", "16", "ORG", "Commission" ], "tail": [ "81", "82", "NORP", "European" ] } ], [ { "head": [ "15", "16", "ORG", "Commission" ], "tail": [ "122", "123", "ORG", "Commission" ] } ], [ { "head": [ "15", "16", "ORG", "Commission" ], "tail": [ "150", "151", "DATE", "03/05/2012" ] } ], [ { "head": [ "17", "19", "PERSON", "Mario Borghezio" ], "tail": [ "15", "16", "ORG", "Commission" ] } ], [ { "head": [ "17", "19", "PERSON", "Mario Borghezio" ], "tail": [ "81", "82", "NORP", "European" ] } ], [ { "head": [ "17", "19", "PERSON", "Mario Borghezio" ], "tail": [ "122", "123", "ORG", "Commission" ] } ], [ { "head": [ "17", "19", "PERSON", "Mario Borghezio" ], "tail": [ "150", "151", "DATE", "03/05/2012" ] } ], [ { "head": [ "81", "82", "NORP", "European" ], "tail": [ "15", "16", "ORG", "Commission" ] } ], [ { "head": [ "81", "82", "NORP", "European" ], "tail": [ "17", "19", "PERSON", "Mario Borghezio" ] } ], [ { "head": [ "81", "82", "NORP", "European" ], "tail": [ "122", "123", "ORG", "Commission" ] } ], [ { "head": [ "122", "123", "ORG", "Commission" ], "tail": [ "15", "16", "ORG", "Commission" ] } ], [ { "head": [ "122", "123", "ORG", "Commission" ], "tail": [ "17", "19", "PERSON", "Mario Borghezio" ] } ], [ { "head": [ "122", "123", "ORG", "Commission" ], "tail": [ "81", "82", "NORP", "European" ] } ], [ { "head": [ "122", "123", "ORG", "Commission" ], "tail": [ "150", "151", "DATE", "03/05/2012" ] } ], [ { "head": [ "150", "151", "DATE", "03/05/2012" ], "tail": [ "15", "16", "ORG", "Commission" ] } ], [ { "head": [ "150", "151", "DATE", "03/05/2012" ], "tail": [ "17", "19", "PERSON", "Mario Borghezio" ] } ], [ { "head": [ "150", "151", "DATE", "03/05/2012" ], "tail": [ "122", "123", "ORG", "Commission" ] } ] ]

[ " ASKER_OF_QUESTION", " GOVERNMENT_OF", " SPEAKER_ORG_IS_QUERYING_ORG", " ISSUED_ON", " ASKER_OF_QUESTION", " ASKED_QUESTION_OF", " ASKER_OF_QUESTION", " NO_RELATION", " ISSUER", " ASKED_QUESTION_BY", " ISSUER", " SPEAKER_ORG_IS_QUERYING_ORG", " ASKER_OF_QUESTION", " GOVERNMENT_OF", " ISSUED_ON", " ISSUED_BY", " WRITER_OF\n\n Explanation:\n The text is a question for", " ISSUED_BY" ]

[ [ "15", "16", "ORG", "Commission" ], [ "17", "19", "PERSON", "Mario Borghezio" ], [ "81", "82", "NORP", "European" ], [ "122", "123", "ORG", "Commission" ], [ "150", "151", "DATE", "03/05/2012" ] ]

[ "I am just imagining all the things I could make with those! The picture is AMAZING\nWish I had a bag full of those!\nAmazing photo. Diane\nLove this. 🙂 What gorgeous colors and inspiration!\nI want to jump on in\nI love colorful peppers\nWhat a delight!\nLovely as always on Wednesdays Velva.Sam\nThose would make one sexy tart!\nTwo words: Pepper Steak.\nWhat a glorious photo! It absolutely made me smile!\nColorful and yummy:)\nThe things I could do with those peppers.\nThat's a pretty picture.\nWow!!!! There are some pretty exciting dish in this blogs..\nYour email address will not be published. Required fields are marked *\nSave my name, email, and website in this browser for the next time I comment.\nYou cannot copy content of this page" ]

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[ " POSTED_ON", " FRIEND", " FRIEND", " TAKES_INTEREST_IN", " WISHED_FOR\n or\n DESIRED\n\n Explan", " POSTED_ON", " HAPPENS_ON", " WEEKLY_EVENT", " COMMENTED_ON", " POSTED_ON", " FRIEND", " POSSession", " POSSession", " FRIEND", " POSTED_ON", " FRIEND", " HAS_ONE", " OWNER_OF \n or\n HAS_X_NUMBER\n\n", " TAKES_PHOTO_OF", " TALKS_ABOUT", " LOVE_FOR_FOOD", " COMMENTED_ON", " LOVES", " WISHES_FOR\n or\n DESIRES\n or\n " ]

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[ "Family and friends of a former Twitter employee accused of spying for Saudi Arabia say he is a dedicated husband and father who has overcome recent mental health struggles.\nAuthorities say Ahmad Abouammo acted as an agent of Saudi Arabia without registering with the U.S. government. Prosecutors say he and another man were rewarded by Saudi royal officials with a designer watch and tens of thousands of dollars funneled into secret bank accounts.\nAbouammo is due in Seattle federal court Friday for a detention hearing. Two other suspects are believed to be in Saudi Arabia.\nRelatives and friends of Abouammo say in letters of support filed to the court that he was always willing to help others, even after he moved to the United States." ]

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[ " EMPLOYED_BY", " EMPLOYED_BY", " EMPLOYED_BY", " WORKED_FOR", " FOREIGN_GOVERNMENT_EMPLOYEE", " FUNDED_BY", " EMPLOYED_BY", " LOCATION_OF\n\n Explanation:\n The text states that Ah", " HEARING_ON_DATE", " EMPLOYED_BY", " EMPLOYED_BY", " EMPLOYED_BY", " WORKED_FOR", " EMPLOYED_BY", " COUNTRY_OF_ORIGIN", " COUNTRY_OF_NATIONALITY_OR_ORIGIN\n\n ", " COUNTRY_OF_ORIGIN_IN_COUNTRY", " COUNTRY_OF_NATIONALITY", " PAID_BY", " ACCUSED_OF\n Or\n AGENT_OF\n Or\n ", " LOCATION_OF\n\n Explanation:\n The text states that Ah", " COURT_HEARING", " BELONGS_TO\n\n Explanation:\n The text states that", " SAME_NATION", " ACCUSED_OF\n\n Explanation:\n The text states that '", " FROM_COUNTRY\n ORIGINATED_FROM\n LEFT_CO", " EMPLOYED_BY", " AGENT_OF", " AGENT_OF", " LIVED_IN", " AGENT_OF", " PAID_BY", " SAME_PERSON", " APPEARS_IN", " DETENTION_HEARING", " BELONGS_TO\n\n Explanation:\n The text states that", " AGENT_OF", " SAME_PERSON", " MOVED_TO", " EMPLOYED_BY", " COUNTRY_CAPITAL", " ACCUSED_OF\n\n Explanation:\n The text states that '", " FROM_COUNTRY\n ORIGINATED_FROM\n ORIGIN\n", " COUNTRY_OF_NATIONALITY", " PAID_BY", " ACCUSED_OF\n OR:\n AGENT_OF", " LOCATION_OF\n\n Explanation:\n The text states that Ah", " COURT_HEARING_ON_DATE", " BELONGS_TO\n\n Explanation:\n The text states that", " SAME_NATION", " ALLEGED_AGENT_OF", " FROM_COUNTRY", " EMPLOYED_BY", " COUNTRY_OF_ORIGIN\n ORIGINATED_FROM\n ", " LOCATION_OF\n\n Explanation:\n The text states that Ah", " COUNTRY_OF_ORIGIN\n ORIGINATED_FROM\n ", " FOREIGN_GOVERNMENT_AGENT_OF", " FUNDED_BY", " LOCATION_OF\n or\n RESIDES_IN\n or\n", " LOCATION_IN.", " HEARING_ON_DATE", " BELONGS_TO\n\n Explanation:\n The text states that", " COUNTRY_OF_ORIGIN\n ORIGINATED_FROM\n ", " LOCATION_OF\n\n Explanation:\n The text states that '", " LOCATION_IN.", " EMPLOYED_BY", " COUNTRY_OF_ORIGIN", " ACCUSED_OF\n\n Explanation:\n The text states that '", " COUNTRY_OF_ORIGIN", " FOREIGN_GOVERNMENT_AGENT_OF", " ACCUSED_OF\n Or\n AGENT_OF\n Or\n ", " LOCATION_OF\n\n Explanation:\n The text states that Ah", " ORGANIZATION_OF.", " ACCUSED_OF\n\n Explanation:\n The text states that '", " FOREIGN_GOVERNMENT_IN_COUNTRY", " FUNDED_BY", " FUNDING", " FUNDED_BY", " FUNDING", " FLOW_OF_MONEY", " FUNDED_BY", " FLOW_OF_MONEY", " FUNDING", " FUND_TRANSFER", " FUNDED_BY", " EMPLOYED_BY", " AGENT_OF", " FAMILY_OR_FRIENDS_OF", " AGENT_OF", " LIVED_IN", " AGENT_OF", " PAID_BY", " APPEARS_IN", " HEARING_ON_DATE", " BELONGS_TO\n\n Explanation:\n The text states that", " AGENT_OF", " SELF", " MOVED_TO", " LOCATION_OF\n\n Explanation:\n The text states that Ah", " LOCATION_OF\n\n Explanation:\n The text states that Ah", " LOCATION_OF\n\n Explanation:\n The text states that Ah", " LOCATION_OF\n\n Explanation:\n The text states that Ah", " LOCATION_OF\n\n Explanation:\n The text states that Ah", " LOCATION_OF\n Or\n ORIGIN_FROM\n Or\n", " FUNDED_BY", " LOCATION_OF\n or\n RESIDES_AT\n or\n", " HEARING_ON_DATE", " BELONGS_TO\n\n Explanation:\n The text mentions", " LOCATION_OF\n\n Explanation:\n The text states that Ah", " LOCATION_OF\n or\n RESIDES_AT\n or\n", " LOCATION_IN\n\n Explanation:\n The text states that Ah", " WORKED_FOR", " DETAINED_IN\n\n Explanation:\n The text states that", " APPEARS_AT", " DETAINED_IN\n\n Explanation:\n The text states that", " APPEARS_IN", " DETENTION_HEARING", " COURT_HEARING_AT_LOCATION", " DETAINED_IN\n\n Explanation:\n The text states that", " DETENTION_HEARING", " APPEARS_IN", " EMPLOYED_BY", " ASSOCIATED_WITH", " FRIENDS_OR_FAMILY_OF", " ASSOCIATED_WITH", " TWO_IN_LOCATION", " FRIENDS_OR_FAMILY_OF", " DETENTION_LOCATION", " ASSOCIATED_WITH", " FRIENDS_OR_FAMILY_OF", " MOVED_TO", " EMPLOYED_BY", " SAME_NATION", " COUNTRY_OF_ORIGIN", " SAME_NATION", " FROM_COUNTRY\n ORIGINATED_FROM\n LOCATED_", " COUNTRY_OF_NATIONALITY", " PAID_BY", " ACCUSED_OF\n Or, if you prefer:\n ALLEGED", " LOCATION_OF\n\n Explanation:\n The text states that Ah", " COURT_HEARING_ON_DATE", " BELONGS_TO\n\n Explanation:\n The text states that", " ACCUSED_OF\n\n Explanation:\n The text states that \"", " FROM_COUNTRY", " EMPLOYED_BY", " AGENT_OF", " SELF", " AGENT_OF", " LIVED_IN", " AGENT_OF", " PAID_BY", " SELF", " APPEARS_IN", " DETENTION_HEARING", " BELONGS_TO\n\n Explanation:\n The text states that", " AGENT_OF", " MOVED_TO", " WORKED_FOR", " COUNTRY_OF_ORIGIN_OF_AGENT_OR_INFL", " LIVES_IN", " COUNTRY_OF_ORIGIN_OF_AGENT_OR_INFL", " LOCATION_IN.", " COUNTRY_OF_ORIGIN", " FUNDED_BY", " LIVES_IN", " LOCATION_IN.", " HEARING_ON_DATE", " BELONGS_TO", " COUNTRY_OF_ORIGIN_OF_AGENT_OR_INFL", " LIVES_IN" ]

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[ "WASHINGTON (AP) - Congress has released a redacted, declassified memo that aims to counter GOP allegations that the FBI abused government surveillance powers in its investigation into Russian election interference.\nThe release comes after weeks of back and forth over how much of the Democratic document would be redacted. The White House objected to its release Feb. 9, citing national security concerns. Democrats have since negotiated with the FBI on what should be blacked out.\nPresident Donald Trump had less concern about an earlier classified memo written by Republicans, which he declassified Feb. 2 over strong objections from the FBI. Trump claims the GOP memo \"vindicates\" him in the ongoing Russia investigation led by special counsel Robert Mueller, though other Republicans have disagreed." ]

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[ " LOCATION_OF\n or\n REPORTED_FROM\n or\n", " LOCATION_OF\n Or, if you prefer:\n The location of Congress", " INVESTIGATES", " INVESTIGATION", " INVESTIGATION_OF", " TIME_PERIOD_BEFORE", " RELEASED_BY", " OBJECT_OF.", " RELEASED_ON", " RELEASED_BY", " INVESTIGATION", " INVESTIGATION_BY\n\n Explanation:\n The text describes", " INVESTIGATED_BY", " TRIGGERED_EVENT_ON_DATE", " INVESTIGATION", " CLAIMED_BY", " INVESTIGATION_BY", " INVESTIGATION_OF", " INVESTIGATION_BY", " INVESTIGATED_BY", " LOCATION_OF\n\n Explanation:\n The text describes that the", " RELEASED_DOCUMENT_BY", " RELEASED_DOCUMENT_BY", " INVESTIGATION", " INVESTIGATION_OF", " TIMES_IN_PERIOD", " RELEASED_DOCUMENT_BY", " OBJECT_OF.", " RELEASED_ON", " RELEASED_BY", " INVESTIGATED", " vindicates", " WRITTEN_BY", " RELEASED_ON", " INVESTIGATION", " CLAIMS", " INVESTIGATES\n\n Explanation:\n The text describes Congress", " INVESTIGATION_OF", " INVESTIGATION_BY", " WRITTEN_BY", " MEETING_AT", " RELEASED_DOCUMENT_BY", " RELEASED_BY", " INVESTIGATION", " INVESTIGATION_OF", " NEGOTIATION", " RELEASED_DOCUMENT_BY", " RELEASED_DOCUMENT_BY", " RELEASED_ON", " RELEASED_BY", " INVESTIGATED", " INVESTIGATES", " INVESTIGATION_BY", " RELEASED\n\n Explanation:\n The text describes Congress releasing a memo", " INVESTIGATION", " INVESTIGATION_SUBJECT", " RELEASED_BY", " INVESTIGATION. The relation is that Congress is investigating Russia.", " INVESTIGATION", " RELEASED_DOCUMENT_BY", " INVESTIGATION_LOCATION", " RELEASED_DOCUMENT_BY", " RELEASED_BY", " ALLEGED_AGAINST", " INVESTIGATION_OF", " TIME_PERIOD_DURATION", " OPPOSITE", " OPPOSED", " OBJECT_OF_ACTION", " OPPOSITE", " ALLEGED_AGAINST", " VINDICATES", " SAME_GROUP", " RELEASED_ON", " INVESTIGATION_OF", " CLAIMS_TO_BE_VINDICATED_BY", " SAME_GROUP", " INVESTIGATION.\n\n Explanation:\n The text describes the", " INVESTIGATION.LED_BY.PERSON", " SAME_GROUP", " INVESTIGATION_LOCATION", " INVESTIGATED_BY", " INVESTIGATION_BY", " INVESTIGATION_OF", " INVESTIGATION.\n\n Explanation:\n The text describes the", " INVESTIGATION_PERIOD", " INVESTIGATION_OF", " OPPOSED_BY", " OBJECT_OF_ACTION", " INVESTIGATION_AGAINST\n\n Explanation:\n The", " INVESTIGATION", " INVESTIGATED_BY", " DIFFER_OPINION", " DECLASSIFIED_BY", " INVESTIGATION", " vindicates", " INVESTIGATION_OF", " INVESTIGATION.\n\n Explanation:\n The text describes the", " INVESTIGATION", " INVESTIGATED_BY", " INVESTIGATION_OF", " INVESTIGATION_OF", " INVESTIGATION_OF", " INVESTIGATION_OF", " INVESTIGATION.\n\n Explanation:\n The text describes the", " INVESTIGATION_OF", " INVESTIGATION.\n\n Explanation:\n The text describes the", " INVESTIGATION_OF", " INVESTIGATION.\n\n Explanation:\n The text describes the", " INVESTIGATION_OF", " INVESTIGATION_OF", " EQUAL\n\n Explanation:\n The text states that the investigation is", " INVESTIGATION", " NEAR_IN_TIME", " REPORTED_BY", " NEGOTIATED", " DISPUTE", " NEGOTIATED", " OBJECTED_TO", " NEGOTIATED", " DISPUTES", " NEGOTIATED", " DISPUTES", " DISPUTE", " INVESTIGATION_OF", " INVESTIGATION_BY", " RELEASED_IN", " RELEASED_DOCUMENT_BY", " RELEASED_DOCUMENT_BY", " DIFFERENT_GROUP", " INVESTIGATED", " NEGOTIATED", " INVESTIGATED", " DISPUTES", " INVESTIGATED", " DISPUTES", " DIFFERENT_GROUPS", " INVESTIGATION_OF", " INVESTIGATION_BY", " LOCATION_OF\n\n Explanation:\n The text describes how the", " OBJECT_OF.", " OBJECT_OF.", " OBJECTED_BY", " OBJECTED_TO", " INVESTIGATION_OF", " OBJECT_OF_ACTION_WITHIN_TIME_PERIOD", " OPPONENTS", " OBJECTED_ON.\n\n Explanation:\n The White House object", " OVERRULED", " OBJECTED_TO", " OBJECT_OF\n\n Explanation:\n The text states that \"Pres", " DIFFERENCES_IN_PERCEPTIONS", " DECLASSIFIED_BY", " OBJECTED_TO", " OBJECT_OF\n\n Explanation:\n The text states that \"Tr", " OBJECTED_BY", " TRIGGERS_EVENT", " INVESTIGATES", " DIFFERENCES_IN_ASSessment_OR_INTEREST.", " RELEASED_AT", " REPORTED_BY", " RELEASED\n\n Entities: \n [{'head': ['5',", " OBJECT_OF.", " OBJECT_OF.", " OBJECTED_BY", " OBJECT_OF.", " OBJECT_OF_ACTION", " OBJECT_OF.", " OBJECT_OF_ACTION", " OBJECT_OF.", " INVESTIGATION_OF", " INVESTIGATION", " RELEASED_IN", " RELEASED_DOCUMENT_BY", " RELEASED_BY", " DIFFERENT_GROUPS", " NEGOTIATED", " NEGOTIATED", " NEGOTIATED", " OPPOSED_BY", " NEGOTIATED", " DISPUTES", " DIFFERENCES_WITH.", " INVESTIGATION_OF", " INVESTIGATION_BY", " INVESTIGATION_LOCATION", " INVESTIGATED_BY", " INVESTIGATION_BY", " INVESTIGATION_OF", " INVESTIGATION", " INVESTIGATION. The FBI is investigating Russian election interference.", " INVESTIGATION_PERIOD", " INVESTIGATION_OF\n\n Explanation:\n The text describes", " OPPOSED_BY", " OBJECT_OF_ACTION", " INVESTIGATION_AGAINST\n\n Explanation:\n The", " INVESTIGATED_BY", " INVESTIGATED_BY", " DECLASSIFIED_BY", " INVESTIGATION", " vindicates", " INVESTIGATION_OF", " INVESTIGATION.", " INVESTIGATION", " INVESTIGATED_BY", " LOCATION_OF\n\n Explanation:\n The text states that \"", " TRIGGERED_BY", " PRESIDENT_OF\n\n Explanation:\n The text states that \"", " CLAIMED_BY", " CLAIMED_TO_HAVE_INFLUENCE", " INVESTIGATION_OF", " DISCREPANCY_IN_TIMEFRAMES", " DISPUTES", " OBJECT_OF\n\n Explanation:\n The text states that \"Pres", " OBJECTED_ON.\n\n Explanation:\n The text states that", " DIFFER_OPINION", " DISPUTES", " CLAIMED_BY", " DECLASSIFIED_ON", " CLAIMED_TO_HAVE_INFLUENCE", " SAME_PERSON", " CLAIMED_BY", " INVESTIGATION", " INVESTIGATES", " CLAIMED_BY", " RELEASED_DOCUMENT_AT", " REPORTED_BY", " RELEASED_DOCUMENT_BY", " SAME_AS", " WRITTEN_BY", " OPPOSED_BY", " WRITTEN_BY", " VINDICATES", " WRITTEN_BY", " vindicates", " SAME_AS", " INVESTIGATION_OF", " DISPUTED_THE_VALIDITY_OF # The Republicans disputed the validity", " LOCATION_AT\n\n Explanation:\n The text mentions that", " REPORTED_BY", " RELEASED\n\n Entities: \n [{'head': ['5',", " RELEASED_DOCUMENT", " DECLASSIFIED_BY", " DECLASSIFIED_BY", " DECLASSIFIED_BY", " DECLASSIFIED_BY", " DECLASSIFIED_BY", " DECLASSIFIED_BY", " RELEASED_DOCUMENT", " INVESTIGATION_OF", " INVESTIGATION", " INVESTIGATION_LOCATION", " INVESTIGATED_BY", " INVESTIGATION_OF", " INVESTIGATED_BY", " INVESTIGATION", " INVESTIGATION_OF", " INVESTIGATION_PERIOD", " INVESTIGATION_OF", " OPPOSED_BY", " OBJECT_OF_ACTION", " INVESTIGATION_AGAINST\n\n Explanation:\n The", " INVESTIGATION", " INVESTIGATED_BY", " INVESTIGATED_BY", " INVESTIGATION_DATE", " vindicates", " INVESTIGATED_BY", " INVESTIGATION. The FBI is investigating Russia.", " INVESTIGATION", " INVESTIGATED_BY", " LOCATION_OF\n\n Explanation:\n The text states that \"", " TRIGGERED_BY", " CLAIMS_TO_INVESTIGATE", " CLAIMED_BY", " CLAIMED_BY", " INVESTIGATION_OF", " DISCREPANCY_IN_TIMEFRAMES", " DISPUTES", " OBJECT_OF\n\n Explanation:\n The text states that \"Pres", " OBJECTED_ON. This is the relation between an entity (Trump) and a", " DISAGREES_WITH", " CLAIMED_BY", " IDENTICAL", " CLAIMED_BY", " DECLASSIFIED_ON", " CLAIMED_BY", " CLAIMED_BY", " INVESTIGATION_OF", " INVESTIGATES", " CLAIMED_BY", " INVESTIGATION_LOCATION", " RELEASED_DOCUMENT_BY", " RELEASED_BY", " SAME_GROUP", " ALLEGED_AGAINST", " INVESTIGATION_OF", " DISCREPANCY_IN_TIMEFRAMES", " OPPOSITE_GROUPS", " OBJECT_OF.", " OBJECT_OF.", " OPPOSITE", " ALLEGED_AGAINST", " VINDICATES", " SAME_GROUP", " RELEASED\n\n Explanation:\n The text states that \"Trump", " ALLEGED_AGAINST", " VINDICATES", " INVESTIGATION_OF", " INVESTIGATION_BY", " SAME_GROUP", " INVESTIGATION_OF", " SUBJECT_OF. The text describes Russia as the subject of the AP report.", " INVESTIGATION_OF", " INVESTIGATION_OF", " INVESTIGATION", " INTERFERENCE_WITH\n\n Explanation:\n The text mentions", " INVESTIGATION_PERIOD", " INVESTIGATION_OF", " INVESTIGATION_OF", " INVESTIGATION_DATE", " INVESTIGATION_OF", " INVESTIGATION.", " INVESTIGATION_OF", " INVESTIGATION_OF", " INVESTIGATION_DATE", " INVESTIGATION. The FBI is investigating Russia.", " INVESTIGATION_OF", " INVESTIGATION_OF", " INVESTIGATION", " INVESTIGATION_OF", " INVESTIGATION_LOCATION", " INVESTIGATION_BY", " INVESTIGATION_BY", " INVESTIGATION_BY", " INVESTIGATION", " INVESTIGATION. The special counsel Robert Mueller is leading the investigation into Russian election", " INVESTIGATION_PERIOD", " INVESTIGATION_BY", " INVESTIGATES", " INVESTIGATION_BY", " INVESTIGATION_BY", " INVESTIGATION", " INVESTIGATES", " INVESTIGATION_BY", " INVESTIGATION_STARTED", " INVESTIGATION", " INVESTIGATES", " INVESTIGATION_BY", " INVESTIGATION", " INVESTIGATION_BY", " INVESTIGATION_LOCATION", " WRITTEN_BY", " RELEASED_BY", " SAME_AS", " WRITTEN_BY", " OPPOSED_BY", " WRITE_REPORT", " VINDICATES", " WRITTEN_BY", " vindicates", " SAME_AS", " INVESTIGATION.\n\n Explanation:\n The text describes how", " INVESTIGATES" ]

[ [ "0", "1", "GPE", "WASHINGTON" ], [ "2", "3", "ORG", "AP" ], [ "5", "6", "ORG", "Congress" ], [ "17", "18", "ORG", "GOP" ], [ "21", "22", "ORG", "FBI" ], [ "30", "31", "NORP", "Russian" ], [ "39", "40", "DATE", "weeks" ], [ "49", "50", "NORP", "Democratic" ], [ "55", "58", "ORG", "The White House" ], [ "62", "64", "DATE", "Feb. 9" ], [ "70", "71", "NORP", "Democrats" ], [ "76", "77", "ORG", "FBI" ], [ "86", "88", "PERSON", "Donald Trump" ], [ "98", "99", "NORP", "Republicans" ], [ "103", "105", "DATE", "Feb. 2" ], [ "110", "111", "ORG", "FBI" ], [ "112", "113", "PERSON", "Trump" ], [ "115", "116", "ORG", "GOP" ], [ "124", "125", "GPE", "Russia" ], [ "130", "132", "PERSON", "Robert Mueller" ], [ "135", "136", "NORP", "Republicans" ] ]

[ "The PUMA Stewie 1 ‘Quiet Fire’ debuts the inaugural signature shoe of WNBA star Breanna Stewart. The low-top dons a neon yellow mesh upper that transitions to a dark green hue along the collar. PUMA’s signature Formstrip is outlined in white on the lateral side, while Breanna Stewart’s personal logo graces the tongue. Molded flames on the contrasting black heel counter transition to rippled-water lines on the NITRO Foam midsole, which repeats the paneled theme of the upper. The rubber outsole extends up the heel, where it displays a suture graphic that references the athlete’s two Achilles surgeries." ]

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[ [ { "head": [ "0", "8", "PRODUCT", "The PUMA Stewie 1 ‘Quiet Fire’" ], "tail": [ "14", "15", "ORG", "WNBA" ] } ], [ { "head": [ "0", "8", "PRODUCT", "The PUMA Stewie 1 ‘Quiet Fire’" ], "tail": [ "16", "18", "PERSON", "Breanna Stewart" ] } ], [ { "head": [ "0", "8", "PRODUCT", "The PUMA Stewie 1 ‘Quiet Fire’" ], "tail": [ "40", "41", "ORG", "PUMA" ] } ], [ { "head": [ "0", "8", "PRODUCT", "The PUMA Stewie 1 ‘Quiet Fire’" ], "tail": [ "54", "57", "PERSON", "Breanna Stewart’s" ] } ], [ { "head": [ "14", "15", "ORG", "WNBA" ], "tail": [ "0", "8", "PRODUCT", "The PUMA Stewie 1 ‘Quiet Fire’" ] } ], [ { "head": [ "14", "15", "ORG", "WNBA" ], "tail": [ "16", "18", "PERSON", "Breanna Stewart" ] } ], [ { "head": [ "14", "15", "ORG", "WNBA" ], "tail": [ "40", "41", "ORG", "PUMA" ] } ], [ { "head": [ "14", "15", "ORG", "WNBA" ], "tail": [ "54", "57", "PERSON", "Breanna Stewart’s" ] } ], [ { "head": [ "14", "15", "ORG", "WNBA" ], "tail": [ "79", "81", "PRODUCT", "NITRO Foam" ] } ], [ { "head": [ "14", "15", "ORG", "WNBA" ], "tail": [ "111", "112", "CARDINAL", "two" ] } ], [ { "head": [ "16", "18", "PERSON", "Breanna Stewart" ], "tail": [ "0", "8", "PRODUCT", "The PUMA Stewie 1 ‘Quiet Fire’" ] } ], [ { "head": [ "16", "18", "PERSON", "Breanna Stewart" ], "tail": [ "14", "15", "ORG", "WNBA" ] } ], [ { "head": [ "16", "18", "PERSON", "Breanna Stewart" ], "tail": [ "40", "41", "ORG", "PUMA" ] } ], [ { "head": [ "16", "18", "PERSON", "Breanna Stewart" ], "tail": [ "54", "57", "PERSON", "Breanna Stewart’s" ] } ], [ { "head": [ "16", "18", "PERSON", "Breanna Stewart" ], "tail": [ "79", "81", "PRODUCT", "NITRO Foam" ] } ], [ { "head": [ "16", "18", "PERSON", "Breanna Stewart" ], "tail": [ "111", "112", "CARDINAL", "two" ] } ], [ { "head": [ "40", "41", "ORG", "PUMA" ], "tail": [ "0", "8", "PRODUCT", "The PUMA Stewie 1 ‘Quiet Fire’" ] } ], [ { "head": [ "40", "41", "ORG", "PUMA" ], "tail": [ "14", "15", "ORG", "WNBA" ] } ], [ { "head": [ "40", "41", "ORG", "PUMA" ], "tail": [ "16", "18", "PERSON", "Breanna Stewart" ] } ], [ { "head": [ "40", "41", "ORG", "PUMA" ], "tail": [ "54", "57", "PERSON", "Breanna Stewart’s" ] } ], [ { "head": [ "40", "41", "ORG", "PUMA" ], "tail": [ "79", "81", "PRODUCT", "NITRO Foam" ] } ], [ { "head": [ "40", "41", "ORG", "PUMA" ], "tail": [ "111", "112", "CARDINAL", "two" ] } ], [ { "head": [ "54", "57", "PERSON", "Breanna Stewart’s" ], "tail": [ "0", "8", "PRODUCT", "The PUMA Stewie 1 ‘Quiet Fire’" ] } ], [ { "head": [ "54", "57", "PERSON", "Breanna Stewart’s" ], "tail": [ "14", "15", "ORG", "WNBA" ] } ], [ { "head": [ "54", "57", "PERSON", "Breanna Stewart’s" ], "tail": [ "16", "18", "PERSON", "Breanna Stewart" ] } ], [ { "head": [ "54", "57", "PERSON", "Breanna Stewart’s" ], "tail": [ "40", "41", "ORG", "PUMA" ] } ], [ { "head": [ "54", "57", "PERSON", "Breanna Stewart’s" ], "tail": [ "79", "81", "PRODUCT", "NITRO Foam" ] } ], [ { "head": [ "54", "57", "PERSON", "Breanna Stewart’s" ], "tail": [ "111", "112", "CARDINAL", "two" ] } ], [ { "head": [ "79", "81", "PRODUCT", "NITRO Foam" ], "tail": [ "14", "15", "ORG", "WNBA" ] } ], [ { "head": [ "79", "81", "PRODUCT", "NITRO Foam" ], "tail": [ "16", "18", "PERSON", "Breanna Stewart" ] } ], [ { "head": [ "79", "81", "PRODUCT", "NITRO Foam" ], "tail": [ "40", "41", "ORG", "PUMA" ] } ], [ { "head": [ "79", "81", "PRODUCT", "NITRO Foam" ], "tail": [ "54", "57", "PERSON", "Breanna Stewart’s" ] } ], [ { "head": [ "111", "112", "CARDINAL", "two" ], "tail": [ "14", "15", "ORG", "WNBA" ] } ], [ { "head": [ "111", "112", "CARDINAL", "two" ], "tail": [ "16", "18", "PERSON", "Breanna Stewart" ] } ], [ { "head": [ "111", "112", "CARDINAL", "two" ], "tail": [ "40", "41", "ORG", "PUMA" ] } ], [ { "head": [ "111", "112", "CARDINAL", "two" ], "tail": [ "54", "57", "PERSON", "Breanna Stewart’s" ] } ] ]

[ " DEBUTED_FOR\n\n Explanation:\n The text states that \"", " DEBUTS", " PRODUCED_BY", " DEBUTS", " DEBUTS", " DEBUTS", " DEBUTS_FOR\n or\n PRODUCES\n or\n ", " DEBUTS", " PRODUCT_OF\n\n Explanation:\n The text states that \"The", " DEBUTED_FOR\n\n Explanation:\n The text states that the", " DEBUTS", " DEBUTS_FOR\n\n Explanation:\n The text states that \"", " DEBUTS_FOR\n or\n PRODUCES\n or\n ", " SELF_REFERENCE", " HAS_MATERIAL\n\n Explanation:\n The text states that", " RECOVERY_FROM_SURGERY_OF\n OR\n HAS", " MANUFACTURER", " DEBUTS_FOR\n\n Explanation:\n The text states that \"", " DEBUTS_FOR\n OR:\n PRODUCES_SIGNATURE_", " DEBUTS_FOR\n\n Explanation:\n The text states that \"", " MANUFACTURED_BY", " ATHLETE_OF\n\n Explanation:\n The text mentions that", " DEBUTS", " DEBUTS_FOR\n\n Explanation:\n The text states that \"", " SIGNATURE_ATHLETE", " DEBUTS_FOR\n or\n PRODUCES\n or\n ", " HAS_MATERIAL\n\n Explanation:\n The text mentions", " RECOVERY_FROM_SURGERY_OF\n OR\n HAS", " PRODUCED_BY", " PRODUCED_BY", " MANUFACTURED_BY", " HAS_SOLE\n\n Explanation:\n The text mentions that", " DEBUTS_FOR\n\n Explanation:\n The text states that the", " DEBUTS_FOR\n or\n HAS_SIGNATURE_SHOE", " DEBUTED_BY", " DEBUTS_FOR\n\n Explanation:\n The text states that \"" ]

[ [ "0", "8", "PRODUCT", "The PUMA Stewie 1 ‘Quiet Fire’" ], [ "14", "15", "ORG", "WNBA" ], [ "16", "18", "PERSON", "Breanna Stewart" ], [ "40", "41", "ORG", "PUMA" ], [ "54", "57", "PERSON", "Breanna Stewart’s" ], [ "79", "81", "PRODUCT", "NITRO Foam" ], [ "111", "112", "CARDINAL", "two" ] ]

[ "Mom Ring is part of Maria Black's \"Heroes Collection\". The Mom Ring is a celebration of all moms and motherly figures - the modern-day heroes. The ring celebrates the women who reminds us to follow our dreams and strive for excellence.\nMaterial: 925 Sterling Silver Plating: White Rhodium\nGold plated certified recycled sterling silver / Sterling silver\nThe top layer of gold plated jewelleries will eventually be worn off. To avoid speeding up this process, remove your jewellery while for example sleeping, showering, doing dishes, washing your hands or swimming. Let all skin products and perfume sink in before putting on your jewellery." ]

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[ [ { "head": [ "5", "8", "PERSON", "Maria Black's" ], "tail": [ "9", "11", "WORK_OF_ART", "Heroes Collection" ] } ], [ { "head": [ "5", "8", "PERSON", "Maria Black's" ], "tail": [ "13", "16", "PRODUCT", "The Mom Ring" ] } ], [ { "head": [ "9", "11", "WORK_OF_ART", "Heroes Collection" ], "tail": [ "5", "8", "PERSON", "Maria Black's" ] } ], [ { "head": [ "13", "16", "PRODUCT", "The Mom Ring" ], "tail": [ "5", "8", "PERSON", "Maria Black's" ] } ] ]

[ " CREATED_BY", " CREATED_BY", " CREATED_BY", " PRODUCER" ]

[ [ "5", "8", "PERSON", "Maria Black's" ], [ "9", "11", "WORK_OF_ART", "Heroes Collection" ], [ "13", "16", "PRODUCT", "The Mom Ring" ] ]

[ "Video: Why are there so few doctors in Hawaii? (with Kyle Varner & Joe Kent)\nFrom Grassroot Institute\nIn this episode of E Hana Kakou, guest host Joe Kent speaks with physician Kyle Varner about the shortage of doctors in the Aloha state, along with possible causes and solutions.\nClick the image below to view the interview in its entirety or go here to see it on You Tube." ]

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[ "HH, 9\" SQUID SKIRT BLUE SILVER YELLOW STRIPE 0009\n|In stock (8)\n|Available in store:\nHolo Holo Brand replacement squid skirts are the top choice of Hawaiian Anglers. Designed with decades of knowledge on Hawaiian offshore conditions and baits Holo Holo offers the quintessential Squid Skirt collection of colors and patterns for the Hawaiian Offshore Anlger. From the trendiest color fashion to decades old favorites no longer poured by other brands Holo Holo offers that perfect color match.\nHolo Holo Skirts are created by Butch Farm, a Hawaiian Fishing Legend credited with catching three Pacific Blue Marlin over 1,000 Pounds. Not only an expert fishermen Butch also passionately shares his knowledge and stories through his retail shop the Hobbietat in Honolulu and through the design of his custom tackle company Holo Holo." ]

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[ " MANUFACTURER", " MANUFACTURER", " DESIGNED_BY", " DESIGNED_BY", " DESIGNED_BY", " LOCATED_IN", " PRODUCES_SIZE_OF_PRODUCT", " BELONGS_TO", " KNOWLEDGE_OF", " BELONGS_TO", " BRAND_OF\n ORGANIZATION_OF\n ORG_", " MANUFACTURER", " KNOWN_FOR", " BRAND_OF\n ORGANIZATION_PRODUCES_PRO", " MANUFACTURER", " DESIGNED_BY", " DESIGNED_BY", " DESIGNED_BY", " DESIGNED_BY", " DESIGNED_BY", " OWNER", " LOCATED_IN", " BRAND_OF\n ORGANIZATION_MANUFACTURER", " DESIGNED_BY", " HAWAIIAN_OF_HAWAIIAN_ANGLERS_IS_FO", " EXPERT_OF\n or\n DESIGNED_BY", " EXPERT_OF\n or\n DESIGNED_BY", " OWNER", " LOCATION_OF\n OR\n HEAD_QUARTERS_LOCATION", " DESCRIBED_BY", " KNOWLEDGE_OF", " KNOWLEDGEABLE_ABOUT", " KNOWLEDGE_OF", " DESIGNED_BY", " KNOWN_FOR", " DESIGNED_BY", " DESIGNED_BY", " DESIGNED_BY", " EXPERT_OF\n or\n DESIGNED_BY", " OWNER", " LOCATED_IN", " AVAILABLE_IN_SIZE", " BRAND_OF\n ORGANIZATION_OF\n ORGAN", " BELONGS_TO", " KNOWLEDGE_OF", " BELONGS_TO", " MANUFACTURER", " KNOWLEDGE_OF", " MANUFACTURER", " PRODUCT_OF", " DESIGNED_BY", " BELONGS_TO", " CREATED_BY", " CREATED_BY", " DESIGNED_BY", " OWNER", " LOCATED_IN", " BRAND_OF\n ORGANIZATION_OF\n ORG_", " MANUFACTURER", " MANUFACTURER", " DESIGNED_BY", " DESIGNED_BY", " DESIGNED_BY", " LOCATED_IN", " DESCRIBED_BY", " KNOWLEDGE_OF", " KNOWLEDGE_OF", " KNOWLEDGEABLE_ABOUT", " DESIGNED_BY", " KNOWN_FOR", " BRAND_OF\n OR:\n PRODUCT_OF\n OR:", " MANUFACTURER", " DESIGNED_BY", " DESIGNED_BY", " OWNED_BY", " LOCATED_IN", " MANUFACTURER", " MANUFACTURER", " DESIGNED_BY", " DESIGNED_BY", " DESIGNED_BY", " LOCATED_IN", " DESIGNED_BY", " DESIGNED_BY", " EXPERT_OF\n or\n CREATED_BY\n or\n", " KNOWLEDGE_OF", " EXPERT_OF", " DESIGNED_BY", " DESIGNED_BY", " KNOWLEDGE_OF", " DESIGNED_BY", " DESIGNED_BY", " EXPERT_OF\n or\n DESIGNED_BY\n or\n", " CREDITED_WITH", " CAUGHT_WEIGHT", " SAME_PERSON", " OWNER", " DESCRIBED_BY", " DESIGNED_BY", " DESIGNED_BY", " HAWAIIAN_OF_HAWAIIAN_ANGLERS_HAVE_", " DESIGNED_BY", " DESIGNED_BY", " OWNED_BY", " LOCATION_OF\n or\n LOCATED_IN\n or\n", " DESIGNED_BY", " DESIGNED_BY", " CREATED_BY", " CREDITED_WITH", " DESIGNED_BY", " DESIGNED_IN.", " DESIGNED_BY", " CATCHEDBY\n # This relation indicates that the head entity (1,", " CATCHEDBY\n # This relation indicates that the head entity (1,", " CATCHEDBY\n # This relation indicates that the head entity (1,", " CREATED_BY", " BUTCH_FARM_LOCATED_IN_HONOLULU", " DESIGNED_BY", " DESIGNED_BY", " EXPERT_OF\n or\n KNOWN_FOR\n or\n ", " KNOWLEDGE_OF", " EXPERT_OF\n or\n KNOWN_FOR\n or\n ", " DESIGNED_BY", " DESIGNED_BY", " KNOWLEDGE_OF", " DESIGNED_BY", " DESIGNED_BY", " IDENTICAL_TO", " EXPERT_OF\n or\n DESIGNED_BY", " CATCHES\n Or\n CAUGHT\n Or\n H", " CAUGHT_WEIGHT", " OWNER", " LIVES_IN", " DESIGNED_BY", " SELLS\n\n Explanation:\n The text mentions that \"H", " OWNER_OF", " LOCATED_IN", " KNOWLEDGE_OF", " LOCATED_IN", " OWNER_OF", " RETAILER", " KNOWLEDGE_OF", " OWNER", " RETAILER_OF\n ORGANIZATION_PRODUCT", " OWNED_BY", " LOCATED_IN", " OWNED_BY", " OWNED_BY", " OWNER", " LOCATED_IN", " OWNER", " AVAILABLE_IN_LOCATION", " LOCATED_IN", " LOCATED_IN", " KNOWN_FOR", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " KNOWN_FOR", " LOCATED_IN", " LOCATED_IN", " OWNER", " LOCATED_IN", " SHARES_LOCATION", " DESCRIBED_BY", " SHARES_KNOWLEDGE_WITH", " LOCATED_AT", " LOCATED_IN", " BRAND_OF", " BRAND_OF\n ORGANIZATION.\n\n # The above", " DESIGNED_BY", " DESIGNED_BY", " OWNER", " LOCATED_IN" ]

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[ "J. Shemer, N. L. Friedman, E. Kokia\nThis paper describes \"Health Value Added\" – an innovative model that links performance measurement to strategy in health maintanance organizations. The HVA model was developed by Maccabi Healthcare Services, Israel’s second largest HMO, with the aim of focusing all its activities on providing high quality care within budgetary and regulatory constraints. HVA draws upon theory and practice from strategic management and performance measurement in order to assesses an HMO’s ability to improve the health of its members. The model consists of four interrelated levels – mission, goals, systems, and resources – and builds on the existence of advanced computerized information systems that make comprehensive measurements available to decision makers in real time. HVA enables management to evaluate overall organizational performance as well as the performance of semi-autonomous units. In simple terms, the sophisticated use of performance measures can help healthcare organizations obtain more health for the same money." ]

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[ " COAUTHOR", " DEVELOPED_BY", " DEVELOPED_IN.", " DEVELOPED_BY", " DEVELOPED_BY", " DEVELOPED_BY", " DEVELOPED_BY", " DEVELOPED_BY", " COLLABORATOR", " DEVELOPED_BY", " DEVELOPED_IN.", " IS_PART_OF\n\n Explanation:\n E. Kokia", " DEVELOPED_BY", " DEVELOPED_BY", " DEVELOPED_BY", " DEVELOPED_BY", " DEVELOPED_BY", " DEVELOPED_BY", " LOCATION", " IS_SECOND_LARGEST", " IS_A\n\n Explanation:\n Maccabi Healthcare Services is", " IS_A\n\n Explanation:\n The text states that \"Macc", " DEVELOPED_BY", " DEVELOPED_BY", " DEVELOPED_BY", " DEVELOPED_BY", " LOCATION.\n\n Explanation:\n The text states that \"M", " LARGER_ORGANIZATION_OF", " LOCATION.\n\n Explanation:\n The text states that \"M", " LOCATION.\n\n Explanation:\n The text states that \"M", " IS_PART_OF", " DEVELOPED_BY", " DEVELOPED_BY", " DEVELOPED_BY", " LARGER_ORGANIZATION_OF", " LARGER_ORGANIZATION_OF", " LARGEST_ORGANIZATION_OF_TYPE", " LARGEST_ORGANIZATION_OF_TYPE\n\n Explan", " DEVELOPED_BY", " DEVELOPED_BY", " DEVELOPED_BY", " DEVELOPED_BY", " LOCATION", " IS_A\n\n Explanation:\n The text states that Maccabi", " IS_A\n\n Explanation:\n The text states that \"Macc", " IS_A\n\n Explanation:\n The text states that \"Macc", " DEVELOPED_BY", " DEVELOPED_BY", " DEVELOPED_BY", " DEVELOPED_BY", " LOCATION", " LARGER_ORGANIZATION", " IS_A\n\n Explanation:\n The text states that \"Macc", " LEVELS_OF\n\n Explanation:\n The text mentions", " DEVELOPED_BY", " DEVELOPED_BY", " DEVELOPED_BY", " DEVELOPED_BY", " CONTEXT_DEPENDENT\n\n Explanation:\n The text mentions", " CONSISTS_OF", " LEVELS_OF\n\n Explanation:\n The text states that", " CONSISTS_OF", " DEVELOPED_BY", " DEVELOPED_BY", " DEVELOPED_BY", " DEVELOPED_IN.", " DEVELOPED_BY", " DEVELOPED_BY", " DEVELOPED_BY", " CONSISTS_OF" ]

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[ "Department of Surgery, Yamagata Saisei Hospital, 79-1 Okimachi, Yamagata, 990-8545, Japan\nDr. Kiyoshi Kawaguchi is currently affiliated to Yamagata Saisei Hospital,Japan. Kiyoshi Kawaguchi is a researcher continuing research in the specialized scientific area of Surgery. Dr. Kiyoshi Kawaguchi is serving as an honorary reviewer for reputed journals and has authored several articles along with chapters in different books related to Surgery.\nResearch Interest specialized scientific area of Surgery." ]

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[ "Aaron Putnam is an American touring stand up comedian , currently based out of Chicago. You can catch him at his home club. Laugh Factory , as well as many other comedy clubs like Zanies. He is also the founder of Stand up in Recovery where he brings laughter to drug/ alcohol treatment centers across the country. His comedy is said to be disarmingly funny and vulnerable. Aaron feels blessed to have opened for some of the best comics working today. He says he gets these opportunities because he’s the best hang in the biz. He also has a Podcast with his lovely wife called The Manchild &The Yogi ." ]

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[ " NATIONALITY", " BASED_IN.", " PERFORMS_AT", " PERFORMS_AT", " FOUNDER", " SELF_REFERENCE", " NO_RELATION", " HAS_PODCAST", " NATIONALITY", " BASED_IN.", " PERFORMS_AT", " PERSON_AT_ORGANIZATION", " FOUNDER", " NATIONALITY", " HAS_PROJECT", " BASED_IN.", " BASED_IN", " CAN_BE_FOUND_AT", " CAN_BE_FOUND_AT", " FOUNDER", " BASED_IN", " NO_RELATION", " HAS_PODCAST", " PERFORMS_AT", " head_is_location_of\n or\n head_is_home_of", " 'HEAD_IN_GPE'", " CAN_PERFORM_AT", " FOUNDER", " PERFORMS_AT", " NO_RELATION", " HAS_PODCAST", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " CAN_BE_FOUND_AT", " HAS_PODCAST", " FOUNDER", " FOUNDER", " FOUNDER_IN.", " FOUNDER", " CAN_PERFORM_AT", " FOUNDER", " FOUNDER_OF", " FOUNDER", " SELF_REFERENCE", " NATIONALITY", " BASED_IN.", " PERFORMS_AT", " PERFORMS_AT", " FOUNDER", " NO_RELATION", " HAS_PODCAST", " NO_RELATION", " CAN_BE_FOUND_IN", " CAN_BE_FOUND_AT", " CAN_BE_FOUND_AT", " FOUNDER", " NO_RELATION", " HAS_PODCAST", " MARRIED_TO", " MARRIED_TO", " THE_MANCHILD_&_THE_YOGI_IS_BASED", " PERFORMS_AT", " PERFORM_AT", " FOUNDER", " MARRIED_TO", " NO_RELATION" ]

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[ "Ankara has been entertaining people with her quick wit and charismatic personality her entire life. She decided to translate her gift for performing it into a career devoted to the arts by moving from Florida to New York City in 2006 and enrolling at the New York Film Academy for the 1 year intensive acting program. After gaining knowledge and experience from multiple facets of the craft, she was drawn into a comedic direction and took classes at Upright Citizens Brigade to dive more into the improvisation world where she felt most comfortable. Since Ankara has been creating laughter all her life, she has taken a leap into the Stand Up Comedy world hitting clubs all around New York City to further her love for laughter and performance. Ankara will continue to work in the entertainment industry where she can work with fellow performers who want to create laughter together." ]

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[ " MOVED_FROM", " MOVED_TO", " MOVED_TO", " ENROLLED_IN.", " ENROLLED_IN_PROGRAM", " TRAINED_AT", " LOCATION", " MOVED_TO", " WORKS_IN", " LIVED_IN", " MOVED_FROM", " MOVED_TO", " MOVED_TO\n\n Entities: \n [{'head': ['4", " MOVED_TO\n\n Entities: \n [{'head': ['5", " MOVED_TO\n ORGANIZED_BY\n (Note: The", " MOVED_FROM", " MOVED_FROM", " MOVED_FROM", " MOVED_TO", " MOVED_FROM", " MOVED_TO", " MOVED_TO\n\n Entities: \n [{'head': ['4", " MOVED_TO\n\n Entities: \n [{'head': ['5", " MOVED_TO\n ORGANIZED_BY\n (Note: The", " MOVED_TO", " IN_CITY", " MOVED_TO", " MOVED_TO", " MOVED_FROM", " MOVED_TO", " MOVED_TO\n\n Entities: \n [{'head': ['4", " TRAINED_AT", " MOVED_TO", " MOVED_TO", " MOVED_TO", " ENROLLED_IN.", " MOVED_FROM", " MOVED_TO", " MOVED_TO\n\n Entities: \n [{'head': ['4", " ENROLLED_IN", " ATTENDED_BY\n\n Explanation:\n Ankara attended", " ENROLLED_IN.", " MOVED_TO", " ENROLLED_IN.", " ENROLLED_IN.", " MOVED_FROM", " MOVED_TO", " MOVED_TO\n\n Entities: \n [{'head': ['4", " TRAINED_AT", " ENROLLED_IN.", " MOVED_TO", " MOVED_TO", " TRAINED_AT", " MOVED_FROM", " TRAINED_IN", " TRAINED_AT", " PREVIOUS_TRAINING_AT", " TRAINED_FOR\n or\n TOOK_CLASSES_", " TRAINED_AT", " TRAINED_IN", " TRAINED_AT", " ENTERTAINED_BY", " MOVED_FROM", " MOVED_TO", " MOVED_TO", " ENROLLED_IN.", " MOVED_IN_YEARS_AGO", " TRAINED_AT", " MOVED_TO", " SAME_PERSON", " MOVED_TO", " MOVED_FROM", " IN_CITY", " MOVED_TO", " MOVED_TO\n\n Entities: \n [{'head': ['4", " MOVED_TO\n\n Entities: \n [{'head': ['5", " MOVED_TO\n ORGANIZED_BY\n (Note: The", " MOVED_TO", " MOVED_TO", " ENTERTAINED_BY", " MOVED_FROM", " MOVED_TO", " MOVED_TO", " ENROLLED_IN.", " MOVED_TO\n\n Entities: \n [{'head': ['1", " ATTENDED\n\n Explanation:\n The text states that Ank", " SAME_PERSON", " MOVED_TO" ]

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[ "Running a nonprofit is different. You need to raise donated money and work with volunteers, often with very restricted resources. This video shares three of the many benefits you’ll receive by participating in a mastermind group.\nKaren Eber Davis provides customized advising and coaching around nonprofit strategy and board development. People leaders hire her to bring clarity to sticky situations, break through barriers that seem insurmountable, and align people for better futures. She is the author of 7 Nonprofit Income Streams and Let's Raise Nonprofit Millions Together.\nIf you appreciate these Added Value posts, please consider subscribing.\nBy submitting this form, you are consenting to receive marketing emails from: Karen Eber Davis Consulting. You can revoke your consent to receive emails at any time by using the SafeUnsubscribe® link, found at the bottom of every email. Emails are serviced by Constant Contact" ]

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[ " PROVIDES_ADVISING_OR_COACHING", " PROVIDES_SERVICE", " SERVICES_PROVIDED_BY", " SHARES_BENEFITS_WITH", " AUTHOR_OF", " ORGANIZATION_HEAD_OF\n or\n PERSON_FOUND", " EMAIL_SERVICE_PROVIDER", " PROVIDES_SERVICE", " PROVIDES_SERVICE", " EMAIL_SERVICE_PROVIDER", " PROVIDES_QUANTITY", " ORGANIZATION_HAS_PERSON\n (or)\n PERSON", " AUTHOR_OF", " EMAIL_SERVICE_PROVIDER", " SERVICES_PROVIDED_WITH_QUANTITY", " EMAIL_SERVICE_PROVIDER", " EMAIL_SERVICE_PROVIDER", " SERVICES_PROVIDED_BY" ]

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[ "Yan Skwara – Mr. Skwara was born and raised in Los Angeles, California and attended California State University of Los Angeles. After both a collegiate and professional career in soccer which included playing in Germany and the United States, Mr. Skwara pursued a second career in business. From 1989 to 1998, Mr. Skwara was a licensed Investment Banker working for several Investment firms including AG Edwards and Whale Securities in New York City on Wall Street. In 1998, Mr. Skwara's passion for the game of soccer moved his entrepreneur spirit as he made the decision to leave Corporate America and pursue establishing a private sports marketing company, focused on the soccer market. Over the years, Mr. Skwara has successfully founded several soccer related brands and consumer related health products which included his expertise in finance, marketing, public relations and corporate communications." ]

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[ " SAME_AS", " BORN_IN.", " BORN_IN", " ATTENDED", " PLAYED_IN.", " PLAYED_IN.", " SAME_PERSON", " CAREER_CHANGE", " WORKED_FOR\n or\n EMPLOYED_BY\n\n", " SAME_PERSON", " WORKED_FOR", " WORKED_FOR", " WORKED_IN.", " ESTABLISHED_COMPANY", " SAME_AS", " LEFT_PREVIOUS_EMPLOYER", " FOUNDED_IN_YEARS", " SAME_AS", " self.label = 'PERSON_SAME'", " BORN_IN.", " BORN_IN", " ATTENDED", " PLAYED_IN.", " WORKED_IN.", " SAME_PERSON", " CAREER_CHANGE", " WORKED_FOR\n Or, if the entities are reversed:\n\n ", " SAME_PERSON", " WORKED_FOR", " WORKED_FOR", " WORKED_IN.", " ESTABLISHED_COMPANY", " SAME_PERSON", " LEFT_THE_EMPLOYER", " BUSINESS_FOUNDED", " BORN_IN, RAISED_IN, ATTENDED, PLAY", " BORN_IN", " BORN_IN", " LOCATION_IN\n\n Entities: \n [{'head': ['", " LOCATED_IN", " BORN_IN.\n\n Entities: \n [{'head':", " FROM_LOCATION\n\n Entities: \n [{'head': ['1", " BORN_IN", " BORN_IN", " LOCATION_FROM_TIMEPERIOD", " BORN_IN", " WORKED_FOR", " WORKED_FOR", " MOVED_FROM", " IN_CITY\n\n Explanation:\n The head entity is \"Los", " BORN_IN", " BORN_IN", " LOCATION_IN\n\n Explanation:\n The head entity 'Los", " BORN_IN", " BORN_IN", " BORN_IN", " LOCATION_IN.", " LOCATION_OF\n\n Entities: \n [{'head': ['", " Mr_Skwara_attended_college_in\n OR\n Mr", " FROM_LOCATION\n\n Entities: \n [{'head': ['1", " BORN_IN", " BORN_IN", " LOCATION_FROM_TIMEPERIOD", " BORN_IN", " WORKED_FOR", " WORKED_FOR", " MOVED_FROM", " IN_YEAR", " BORN_IN", " BORN_IN", " IN_REGION", " BORN_IN.", " EDUCATED_AT", " ATTENDED", " LOCATION_OF\n\n Entities: \n [{'head': ['", " LOCATION_IN.", " EDUCATED_IN.", " EDUCATED_IN", " ATTENDED", " ATTENDED", " EDUCATION\n\n Entities: \n [{'head': ['5", " ATTENDED", " WORKED_FOR", " WORKED_FOR", " WORKED_IN.", " GRADUATED_FROM", " EDUCATED_AT", " EDUCATED_AT", " ATTENDED", " ATTENDED", " LIVED_IN", " WAS_BORN_IN\n\n Explanation:\n The text", " WAS_BORN_IN.", " WAS_BORN_IN. (The head entity is the location where the person", " EDUCATED_AT", " PLAYED_IN.", " WAS_BORN_IN\n\n Entities: \n [{'", " WORKED_IN. (Note: The entities are indexed based on their appearance in", " WORKED_IN", " WAS_BORN_IN\n\n Entities: \n [{'", " WORKED_FOR", " WORKED_FOR", " WORKED_IN.", " WAS_LOCATED_IN.", " WAS_BORN_IN\n\n Entities: \n [{'", " WORKED_FOR", " BORN_IN.\n\n Entities: \n [{'head':", " WAS_BORN_IN\n\n Entities: \n [{'", " ATTENDED", " WAS_BORN_IN\n\n Entities: \n [{'", " ATTENDED\n\n Entities: \n [{'head': ['1", " IN_COUNTRY", " EDUCATED_AT", " PLAYED_IN.", " WAS_BORN_IN\n\n Entities: \n [{'", " CAREER_AT\n\n Explanation:\n The text states that \"", " WORKED_IN.", " WAS_BORN_IN\n\n Explanation:\n The text", " WORKED_FOR", " WORKED_FOR", " WORKED_IN.", " MOVED_TO", " WAS_BORN_IN\n\n Entities: \n [{'", " WORKED_FOR", " IN_COUNTRY", " WAS_BORN_IN\n\n Explanation:\n The text", " SPOUSE # This is incorrect. The text does not provide any information about a spouse relationship", " BORN_IN, RAISED_IN, ATTENDED, PLAY", " BORN_IN.", " BORN_IN.", " ATTENDED", " PLAYED_IN.", " WORKED_IN.", " CAREER_CHANGE_BEFORE\n\n Explanation:\n The text", " WORKED_FOR\n\n Entities: \n [{'head': ['", " SAME_PERSON", " WORKED_FOR", " WORKED_FOR", " WORKED_IN", " STARTED_YEAR", " SAME_PERSON", " LEFT_PREVIOUS_EMPLOYER", " BUSINESS_FOUNDED", " SAME_PERSON", " CAREER_CHANGE", " CAREER_CHANGE", " BORN_IN", " BORN_IN", " ATTENDED", " WORKED_IN.", " CAREER_IN.", " CAREER_CHANGE", " CAREER_CHANGE", " WORKED_FOR", " WORKED_FOR", " WORKED_IN.", " CAREER_CHANGE", " LEFT_BEHIND", " CAREER_CHANGE", " WORKED_FOR", " WORKED_FOR", " WORKED_IN", " WORKED_IN", " EDUCATED_AT", " WORKED_IN.", " WORKED_IN", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_IN", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " SPOUSE # This is incorrect. The text does not provide any information about a spouse relationship", " BORN_IN. \n\n Explanation:\n The entities represent", " BORN_IN.", " BORN_IN", " ATTENDED", " WORKED_IN.", " WORKED_IN", " SAME_PERSON", " CAREER_CHANGE_BEFORE\n\n Explanation:\n The text", " WORKED_FOR\n Or, if the entities are reversed:\n\n ", " WORKED_FOR", " WORKED_FOR", " WORKED_IN", " STARTED_YEAR", " SAME_PERSON", " LEFT_THE_EMPLOYER", " BUSINESS_FOUNDED", " SAME_PERSON", " EMPLOYED_BY", " EMPLOYED_BY", " LOCATION_OF\n\n Explanation:\n The text states that from", " LOCATION_OF\n\n Explanation:\n The text states that from", " EDUCATED_AT", " WORKED_IN.", " WORKED_IN", " EMPLOYED_BY", " WORKED_FOR", " WORKED_FOR", " EMPLOYED_BY", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " EMPLOYED_BY", " WORKED_FOR", " WORKED_FOR", " EMPLOYED_BY", " EMPLOYED_BY", " EMPLOYED_BY", " LOCATION_OF\n\n Explanation:\n Whale Securities", " LOCATION_OF\n\n Explanation:\n Whale Securities", " EMPLOYED_AT. Previous employer of the person. In this case,", " WORKED_IN.", " WORKED_IN", " EMPLOYED_BY", " WORKED_FOR", " EMPLOYED_BY", " EMPLOYED_BY", " WORKED_FOR", " WORKED_AT", " WORKED_FOR", " EMPLOYED_BY", " WORKED_FOR", " WORKED_FOR", " EMPLOYED_BY", " WORKED_IN.", " WORKED_IN", " MOVED_FROM", " MOVED_FROM", " EDUCATED_AT", " WORKED_IN.", " WORKED_IN", " WORKED_IN", " IN_CITY_DURING", " LOCATION_FROM_TIMEPERIOD", " WORKED_IN", " WORKED_FOR", " WORKED_FOR", " LOCATION_FROM_TIMEPERIOD", " WORKED_IN", " WORKED_FOR", " LOCATION_IN\n\n Explanation:\n The text states that \"", " WORKED_IN.", " FOUNDING", " FOUNDED", " MOVED_TO", " MOVED_FROM\n\n Entities: \n [{'head': ['Mr", " EDUCATED_AT", " WORKED_IN.", " WORKED_IN", " FOUNDED", " FOUNDED", " WORKED_FOR", " WORKED_FOR", " WORKED_IN", " FOUNDED", " LEFT_BEHIND", " ESTABLISHED", " SAME_AS", " NO_RELATION. (The entities refer to the same person, no relation is stated in", " BORN_IN.", " BORN_IN", " ATTENDED", " WORKED_IN.", " WAS_BORN_IN\n\n Entities: \n [{'", " SAME_PERSON", " CAREER_CHANGE_AT_SECOND_CAREER", " WORKED_FOR\n Or, if the entities are reversed:\n\n ", " SAME_PERSON", " WORKED_FOR", " WORKED_FOR", " WORKED_IN", " STARTED_YEAR", " LEFT_PREVIOUS_EMPLOYER", " EVENT_IN_YEARS", " SAME_PERSON", " LEFT_OF\n\n Explanation:\n The text states that \"In", " LEFT_EMPLOYED_BY", " LEFT_OF\n\n Explanation:\n The text states that \"Mr", " BORN_IN", " EDUCATED_AT", " WORKED_IN. (Note: The entities are represented as indices into the text,", " LEFT_OF\n\n Explanation:\n The text states that \"From", " LEFT_OF_CAREER\n\n Explanation:\n The text", " LEFT_OF\n\n Explanation:\n The relation LEFT_OF", " LEFT_OF\n\n Explanation:\n The head entity \"Corpor", " LEFT_OF_CAREER\n\n Explanation:\n The text", " WORKED_FOR", " WORKED_FOR", " LEFT_OF\n\n Explanation:\n The text states that from ", " LEFT_BEHIND", " LEFT_OF_CAREER\n\n Explanation:\n The text", " LEFT_OF\n\n Explanation:\n The text states that \"In", " LEFT_OF_CAREER\n\n Explanation:\n The text", " BUSINESS_FOUNDING", " FOUNDED_BY", " LOCATION_IN.", " LOCATION.IN.BIOGRAPHY.OF.PERSON", " ATTENDED", " WORKED_IN.", " IN_COUNTRY", " FOUNDED_BY", " FOUNDED_BY", " WORKED_FOR", " WORKED_FOR", " WORKED_IN", " BUSINESS_FOUNDING", " LEFT_BEHIND", " FOUNDED_BY", " SPOUSE # This is incorrect. The text does not provide any information about a spouse relationship", " BORN_IN, RAISED_IN, ATTENDED, PLAY", " BORN_IN.", " BORN_IN.", " ATTENDED", " WORKED_IN.", " WORKED_IN.", " SAME_PERSON", " CAREER_CHANGE_BEFORE\n\n Explanation:\n The text", " WORKED_FOR\n or\n EMPLOYED_BY\n\n", " SAME_PERSON", " WORKED_FOR", " WORKED_FOR", " WORKED_IN.", " STARTED_DATE", " SAME_PERSON", " WORKED_FOR", " BUSINESS_FOUNDED" ]

[ [ "0", "2", "PERSON", "Yan Skwara" ], [ "4", "5", "PERSON", "Skwara" ], [ "10", "12", "GPE", "Los Angeles" ], [ "13", "14", "GPE", "California" ], [ "16", "22", "ORG", "California State University of Los Angeles" ], [ "36", "37", "GPE", "Germany" ], [ "38", "41", "GPE", "the United States" ], [ "43", "44", "PERSON", "Skwara" ], [ "46", "47", "ORDINAL", "second" ], [ "52", "55", "DATE", "1989 to 1998" ], [ "57", "58", "PERSON", "Skwara" ], [ "69", "71", "ORG", "AG Edwards" ], [ "72", "74", "ORG", "Whale Securities" ], [ "75", "78", "GPE", "New York City" ], [ "83", "84", "DATE", "1998" ], [ "86", "87", "PERSON", "Skwara" ], [ "105", "107", "ORG", "Corporate America" ], [ "123", "125", "DATE", "the years" ], [ "127", "128", "PERSON", "Skwara" ] ]

[ "Dr. Anthony Magliocco is a Senior Member and Chair, Department of Anatomic Pathology at Moffitt Cancer Center as well as Executive Director of Esoteric Laboratory Services and the Morsani Molecular Diagnostic Laboratory, and Scientific Director of the Moffitt Tissue Core. He is Board Certified in Anatomic pathology and completed a fellowship at the Fox Cancer Center and residency at the University of Calgary. He earned his medical degree at the University of Alberta in Edmonton Alberta Canada. Dr. Magliocco has subspecialty expertise in breast, gynecological and molecular pathology and research interests in the areas of molecular predictive markers, digital analytical microscopy, and personalized medicine. He is also co-chair of pathology for the NRG cooperative clinical trials group, and was recently appointed to the NIH NCI Genitourinary Steering Committee." ]

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[ "Supported by energy efficiency specialists Mark Group, the clinics take place on a first-team matchday and are held at Tigers’ Oval Park training facility and Wyggeston & Queen Elizabeth 1 College.\nAs well as improving their game with Tigers coaches, squads enjoy a question-and-answer session with a Tigers player and the big game at Welford Road\nTigers can tailor the coaching clinic to suit your needs and also help groups link up with local teams for fixtures.\nTigers have been inundated by clubs, schools and groups wanting to improve their game on a Matchday Coaching Clinic this season and are now fully booked for the Aviva Premiership games against Gloucester Rugby and London Irish.\nTeams, schools and groups are encouraged to book now for next season to avoid disappointment.\nFor more information call the community team on 0844 856 1880 or click here" ]

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[ " SUPPORTS", " SUPPORTS", " SUPPORTS", " SUPPORTED_BY", " SUPPORTS", " SUPPORTS", " HOSTED_AT", " SUPPORTS", " SUPPORTS", " SUPPORTS", " SUPPORTED_BY", " SUPPORTED_BY", " INDUSTRY_PARTNER", " HAS_MATCH_AGAINST\n\n Explanation:\n The", " HELP_PROVIDE_INFORMATION", " SUPPORTED_BY", " SUPPORTED_BY", " HELD_AT", " SUPPORTED_BY", " SUPPORTED_BY", " HOSTS", " SUPPORTED_BY", " SUPPORTED_BY", " TAKES_PLACE_AT", " FULLY_BOOKED_FOR", " FULLY_BOOKED_FOR", " FULLY_BOOKED_FOR", " SUPPORTED_BY", " HOSTS\n\n Explanation:\n The text states that the clinics", " HOSTED_AT", " HELD_AT", " COORDINATES_WITH", " HOSTED_BY", " HOSTS", " HOSTED_BY", " HOSTED_BY", " HOSTS", " HOSTED_IN\n\n Explanation:\n The text states that \"", " HOSTS", " AVIVA_PREMIERSHIP_GAMES_AGAINST", " GAME_AGAINST", " BOOKING_FOR", " SUPPORTED_BY", " HOSTED_BY", " HELD_AT", " HOSTED_BY", " HOSTED_BY", " HOSTED_AT", " HOSTED_BY", " HOSTED_BY", " TRAINING_AT\n\n Explanation:\n The text states that", " HOSTS", " FAC_HOSTS\n\n Explanation:\n The text states that \"", " GAME_AGAINST", " SUPPORTED_BY", " HELD_AT", " HELD_AT", " LOCATION_AT.\n Or, if you prefer, HOSTED_AT", " HELD_AT", " HELD_AT", " LOCATION_AT.\n Or, if you prefer, HOSTED_AT", " HELD_AT", " HELD_AT", " HOSTED_BY", " HELD_AT", " HOSTED_BY", " WAITS_FOR\n\n Explanation:\n The text states that \"Te", " LINKED_WITH", " PROVIDES_SERVICE_FOR_DATE", " SUPPORTED_BY", " HOSTS\n\n Explanation:\n The text states that the clinics", " SELF", " HOSTED_AT", " HELD_AT", " SELF", " HOSTS", " SELF_REFERENCE", " SELF", " HOSTS", " HOSTED_IN\n\n Explanation:\n The text states that \"", " HOSTS", " AVIVA_PREMIERSHIP_GAMES_AGAINST", " GAME_AGAINST", " ENCOURAGE_BOOKING_FOR_FUTURE_EVENTS", " SUPPORTED_BY", " HOSTS\n\n Explanation:\n The text states that \"the clin", " HOSTED_BY", " HOSTED_AT", " HELD_AT", " HOSTED_BY", " HOSTS", " HOSTED_BY", " HOSTED_BY", " HOSTS", " HOSTED_IN\n\n Explanation:\n The text states that \"", " HOSTS", " AVIVA_PREMIERSHIP_GAMES_AGAINST", " GAME_AGAINST", " ENCOURAGE_BOOKING_FOR_FUTURE_EVENTS", " SUPPORTED_BY", " HOSTS_AT\n\n Explanation:\n The text mentions that", " HOSTED_AT", " LOCATION_AT.\n Or, if you prefer, HOSTED_AT", " HOSTED_AT", " HOSTED_BY", " HOSTED_BY", " HOSTED_BY", " HOSTED_BY", " HOSTS", " HOSTS_EVENT_AT", " HOSTS", " AVIVA_PREMIERSHIP_GAME_AGAINST", " AVIVA_PREMIERSHIP_GAMES_AGAINST", " SEASON_FOLLOWS_MATCHDAY", " SUPPORTED_BY", " HOSTS\n\n Explanation:\n The text states that the clinics", " HOSTED_BY", " HOSTED_AT", " HELD_AT", " HOSTED_BY", " HOSTED_BY", " HOSTS", " HOSTED_BY", " HOSTS", " HOSTED_IN\n\n Explanation:\n The text states that \"", " HOSTS", " AVIVA_PREMIERSHIP_GAMES_AGAINST", " GAME_AGAINST", " BOOKING_FOR", " SUPPORTED_BY", " HOSTS\n\n Explanation:\n The text states that the clinics", " HOSTED_BY", " HOSTED_AT", " HELD_AT", " HOSTED_BY", " HOSTED_BY", " HOSTS", " HOST", " HOSTS", " HOSTED_IN\n\n Explanation:\n The text states that \"", " HOSTS", " AVIVA_PREMIERSHIP_GAMES_AGAINST", " GAME_AGAINST", " BOOKING_FOR", " SUPPORTED_BY", " IS_SPECIALIZED_IN\n\n Explanation:\n The text", " HOSTS", " TAKES_PLACE_AT", " HOSTED_AT", " HOSTS", " HOSTED_BY", " HOSTED_AT", " HOSTED_BY", " HOSTS", " TAKES_PLACE_IN\n\n Entities: \n [{'", " HOSTS", " HOSTED_BY", " FULLY_BOOKED_FOR", " HELPS_WITH_BOOKING", " SUPPORTED_BY", " HOSTED_BY", " HELD_AT", " HOSTED_BY", " HOSTED_BY", " HOSTED_AT", " HOSTS", " HOSTED_BY", " TAKES_PLACE_AT\n\n Explanation:\n The text", " BOOKED_FOR", " FULLY_BOOKED_FOR", " FULLY_BOOKED_FOR", " SUPPORTED_BY", " FUTURE_EVENT_OF\n\n Explanation:\n The text ment", " HOSTS", " HOSTED_AT", " HOSTED_AT", " HOSTS", " HOSTS", " HOSTED_AT", " HOSTS", " HOSTS", " HOSTS", " SEASON_OF\n\n Entities: \n [{'head': ['", " AGINST\n\n Explanation:\n The text mentions that Tigers are", " GAME_AGAINST", " SEASON_FOLLOWS_LEAGUE", " SUPPORTED_BY", " Availability_before\n\n Explanation:\n The text states that \"T", " Aviva_Premiership_opponent", " AVIVA_PREMIERSHIP_GAME_AGAINST", " LINKED_WITH", " Aviva_Premiership_opponent", " Aviva_Premiership_opponent", " HOSTED_AT", " AVIVA_PREMIERSHIP_GAMES_AGAINST", " Aviva_Premiership_opponent", " PARTICIPANT_IN", " FULLY_BOOKED_FOR", " OPPOSING_TEAM\n\n Explanation:\n The text mentions", " GAME_AGAINST", " BOOKING_FOR", " SUPPORTED_BY", " FULLY_BOOKED_FOR", " GIVEN_EVENT_PARTICIPANT", " HAS_EVENT_AT", " HELPS_WITH_LINKUPS", " AVIVA_PREMIERSHIP_GAMES_AGAINST", " AVIVA_PREMIERSHIP_GAMES_AGAINST", " HOSTED_AT", " AVIVA_PREMIERSHIP_GAMES_AGAINST", " AVIVA_PREMIERSHIP_GAMES_AGAINST", " HOSTED_BY", " FULLY_BOOKED_FOR", " HOSTED_BY", " GIVEN_EVENT_OPPONENTS", " ENCOURAGE_BOOKING_FOR_DATE", " SUPPORTS", " PROVIDES_SERVICES_FOR", " LOCATION_AT.\n Or, if you prefer, you could use the more", " PROVIDES_SERVICES_FOR", " BOOKING_FOR_SERVICE", " LOCATION", " PROVIDES_SERVICES", " BOOKING_FOR_SERVICE", " BOOKING_FOR", " BOOKABLE_FOR", " BOOKED_FOR", " BOOKED_FOR" ]

[ [ "5", "7", "PERSON", "Mark Group" ], [ "14", "15", "ORDINAL", "first" ], [ "22", "23", "ORG", "Tigers" ], [ "24", "26", "FAC", "Oval Park" ], [ "29", "35", "ORG", "Wyggeston & Queen Elizabeth 1 College" ], [ "44", "45", "ORG", "Tigers" ], [ "58", "59", "ORG", "Tigers" ], [ "65", "67", "ORG", "Welford Road" ], [ "68", "69", "ORG", "Tigers" ], [ "91", "92", "ORG", "Tigers" ], [ "107", "111", "ORG", "a Matchday Coaching Clinic" ], [ "111", "113", "DATE", "this season" ], [ "120", "122", "ORG", "Aviva Premiership" ], [ "124", "126", "ORG", "Gloucester Rugby" ], [ "127", "129", "ORG", "London Irish" ], [ "142", "144", "DATE", "next season" ] ]

[ "Offering the best of both worlds, Franke is a harmonious blend of intricate bodice detail with the simplicity of her crepe skirt. Featuring a slimline silhouette with her off the shoulder strapless design, Frankie really does have it all. Beautiful embroidered sheet lace in a modern abstract floral design features seed bead and sequins embellishments adding that touch of sparkle. Lace detail flows all the way down her illusion sleeves to ensure every inch of Frankie is pure perfection. A vision from every angle, Frankie’s open illusion back flows down to a 27” train leaving no detail spared.\nColourway: Ivory US10 SALE PRICE FOR SAMPLE GOWN ONLY\ntop of page\n$2,595.00 Regular Price\nSize, Colour: Size:US10\nbottom of page" ]

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[ [ { "head": [ "7", "8", "PERSON", "Franke" ], "tail": [ "36", "37", "PERSON", "Frankie" ] } ], [ { "head": [ "7", "8", "PERSON", "Franke" ], "tail": [ "80", "81", "ORG", "Frankie" ] } ], [ { "head": [ "7", "8", "PERSON", "Franke" ], "tail": [ "91", "92", "PERSON", "Frankie" ] } ], [ { "head": [ "7", "8", "PERSON", "Franke" ], "tail": [ "100", "102", "QUANTITY", "27”" ] } ], [ { "head": [ "7", "8", "PERSON", "Franke" ], "tail": [ "125", "126", "MONEY", "2,595.00" ] } ], [ { "head": [ "7", "8", "PERSON", "Franke" ], "tail": [ "135", "136", "CARDINAL", "US10" ] } ], [ { "head": [ "36", "37", "PERSON", "Frankie" ], "tail": [ "7", "8", "PERSON", "Franke" ] } ], [ { "head": [ "36", "37", "PERSON", "Frankie" ], "tail": [ "80", "81", "ORG", "Frankie" ] } ], [ { "head": [ "36", "37", "PERSON", "Frankie" ], "tail": [ "91", "92", "PERSON", "Frankie" ] } ], [ { "head": [ "36", "37", "PERSON", "Frankie" ], "tail": [ "100", "102", "QUANTITY", "27”" ] } ], [ { "head": [ "36", "37", "PERSON", "Frankie" ], "tail": [ "125", "126", "MONEY", "2,595.00" ] } ], [ { "head": [ "36", "37", "PERSON", "Frankie" ], "tail": [ "135", "136", "CARDINAL", "US10" ] } ], [ { "head": [ "80", "81", "ORG", "Frankie" ], "tail": [ "7", "8", "PERSON", "Franke" ] } ], [ { "head": [ "80", "81", "ORG", "Frankie" ], "tail": [ "36", "37", "PERSON", "Frankie" ] } ], [ { "head": [ "80", "81", "ORG", "Frankie" ], "tail": [ "91", "92", "PERSON", "Frankie" ] } ], [ { "head": [ "80", "81", "ORG", "Frankie" ], "tail": [ "100", "102", "QUANTITY", "27”" ] } ], [ { "head": [ "80", "81", "ORG", "Frankie" ], "tail": [ "125", "126", "MONEY", "2,595.00" ] } ], [ { "head": [ "80", "81", "ORG", "Frankie" ], "tail": [ "135", "136", "CARDINAL", "US10" ] } ], [ { "head": [ "91", "92", "PERSON", "Frankie" ], "tail": [ "7", "8", "PERSON", "Franke" ] } ], [ { "head": [ "91", "92", "PERSON", "Frankie" ], "tail": [ "36", "37", "PERSON", "Frankie" ] } ], [ { "head": [ "91", "92", "PERSON", "Frankie" ], "tail": [ "80", "81", "ORG", "Frankie" ] } ], [ { "head": [ "91", "92", "PERSON", "Frankie" ], "tail": [ "100", "102", "QUANTITY", "27”" ] } ], [ { "head": [ "91", "92", "PERSON", "Frankie" ], "tail": [ "125", "126", "MONEY", "2,595.00" ] } ], [ { "head": [ "91", "92", "PERSON", "Frankie" ], "tail": [ "135", "136", "CARDINAL", "US10" ] } ], [ { "head": [ "100", "102", "QUANTITY", "27”" ], "tail": [ "7", "8", "PERSON", "Franke" ] } ], [ { "head": [ "100", "102", "QUANTITY", "27”" ], "tail": [ "36", "37", "PERSON", "Frankie" ] } ], [ { "head": [ "100", "102", "QUANTITY", "27”" ], "tail": [ "80", "81", "ORG", "Frankie" ] } ], [ { "head": [ "100", "102", "QUANTITY", "27”" ], "tail": [ "91", "92", "PERSON", "Frankie" ] } ], [ { "head": [ "125", "126", "MONEY", "2,595.00" ], "tail": [ "7", "8", "PERSON", "Franke" ] } ], [ { "head": [ "125", "126", "MONEY", "2,595.00" ], "tail": [ "36", "37", "PERSON", "Frankie" ] } ], [ { "head": [ "125", "126", "MONEY", "2,595.00" ], "tail": [ "80", "81", "ORG", "Frankie" ] } ], [ { "head": [ "125", "126", "MONEY", "2,595.00" ], "tail": [ "91", "92", "PERSON", "Frankie" ] } ], [ { "head": [ "135", "136", "CARDINAL", "US10" ], "tail": [ "7", "8", "PERSON", "Franke" ] } ], [ { "head": [ "135", "136", "CARDINAL", "US10" ], "tail": [ "36", "37", "PERSON", "Frankie" ] } ], [ { "head": [ "135", "136", "CARDINAL", "US10" ], "tail": [ "80", "81", "ORG", "Frankie" ] } ], [ { "head": [ "135", "136", "CARDINAL", "US10" ], "tail": [ "91", "92", "PERSON", "Frankie" ] } ] ]

[ " IS_NAME_OF", " IS_NAME_OF", " IDENTICAL", " TRAIN_LENGTH", " PRICE\n\n Explanation:\n The text describes Franke as a dress", " SIZE_OF\n\n Explanation:\n The text describes Franke as", " IDENTICAL_TO", " PERSON_IS_PRODUCT_OF\n ORG. (Note: In this", " SELF_REFERENCE", " TRAIN_LENGTH", " PRICE\n\n Explanation:\n The text describes Frankie as a gown", " SIZE_OF\n\n Explanation:\n The text describes Frankie as", " PRODUCES \n or\n HAS_PRODUCER\n\n", " NO_RELATION. (There is no relation between 'Frankie' and 'Fr", " SELF_REFERENCE", " TRAIN_LENGTH", " PRICE\n\n Explanation:\n The text describes the price of the Frank", " SIZE_OF\n\n Explanation:\n The text describes Frankie as", " IDENTICAL_TO", " SELF_REFERENCE", " PERSON_IS_PRODUCT_OF\n ORG. (Note: In this", " TRAIN_LENGTH", " PRICE\n\n Explanation:\n The text describes Frankie as a gown", " SIZE_OF\n\n Explanation:\n The text describes Frankie as", " TRAIN_LENGTH_OF", " TRAIN_LENGTH", " TRAIN_LENGTH", " TRAIN_LENGTH", " PRICE_FOR\n or\n SALE_PRICE_FOR\n or", " PRICE_FOR\n or\n SALE_PRICE_FOR\n or", " PRICE_OF", " PRICE_FOR_ENTITY", " SIZE_OF\n\n Explanation:\n The text describes Franke as", " SIZE_OF\n\n Explanation:\n The text describes Frankie as", " SIZE_OF\n\n Explanation:\n The text describes the size of", " SIZE_OF\n\n Explanation:\n The text describes Frankie as" ]

[ [ "7", "8", "PERSON", "Franke" ], [ "36", "37", "PERSON", "Frankie" ], [ "80", "81", "ORG", "Frankie" ], [ "91", "92", "PERSON", "Frankie" ], [ "100", "102", "QUANTITY", "27”" ], [ "125", "126", "MONEY", "2,595.00" ], [ "135", "136", "CARDINAL", "US10" ] ]

[ "Explore below the details of the competitions scheduled for the year 2024, where we will meet. This site gathers everything you need to organize your arrival: from information about riders’ entry to practical advice, including the Rider form for stables, accreditation, and other special requests.\nYou will also find here the procedures for renewing sanitary papers. Everything is brought together to simplify your arrival.\nStay connected to not miss anything about these exciting events!\nSee you soon, Marie H" ]

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[ [ { "head": [ "9", "12", "DATE", "the year 2024" ], "tail": [ "41", "42", "ORG", "Rider" ] } ], [ { "head": [ "9", "12", "DATE", "the year 2024" ], "tail": [ "92", "94", "PERSON", "Marie H" ] } ], [ { "head": [ "41", "42", "ORG", "Rider" ], "tail": [ "9", "12", "DATE", "the year 2024" ] } ], [ { "head": [ "41", "42", "ORG", "Rider" ], "tail": [ "92", "94", "PERSON", "Marie H" ] } ], [ { "head": [ "92", "94", "PERSON", "Marie H" ], "tail": [ "9", "12", "DATE", "the year 2024" ] } ], [ { "head": [ "92", "94", "PERSON", "Marie H" ], "tail": [ "41", "42", "ORG", "Rider" ] } ] ]

[ " SCHEDULED_FOR", " ORGANIZER", " SCHEDULED_FOR", " ORGANIZER", " ORGANIZES\n\n Explanation:\n Marie H is organizing", " ORGANIZER" ]

[ [ "9", "12", "DATE", "the year 2024" ], [ "41", "42", "ORG", "Rider" ], [ "92", "94", "PERSON", "Marie H" ] ]

[ "B.C. salmon farmers have reported an average 93.6 % rolling survivability rate of stock in 2014.\nThis was one of the many items shown in the B.C. Salmon Farmer’s Association’s first ever sustainability progress report at the major aquaculture conference this past week.\nBoard chair Stewart Hawthorn says the purpose of the report is to help bring together everything they’ve been doing in the farming community to the people of BC.\nOther areas of the report include the use of antibiotics and vaccines, marine predator management, and escape prevention." ]

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[ [ { "head": [ "0", "1", "GPE", "B.C." ], "tail": [ "7", "9", "PERCENT", "93.6 %" ] } ], [ { "head": [ "0", "1", "GPE", "B.C." ], "tail": [ "15", "16", "DATE", "2014" ] } ], [ { "head": [ "0", "1", "GPE", "B.C." ], "tail": [ "20", "21", "CARDINAL", "one" ] } ], [ { "head": [ "0", "1", "GPE", "B.C." ], "tail": [ "27", "34", "ORG", "the B.C. Salmon Farmer’s Association’s" ] } ], [ { "head": [ "0", "1", "GPE", "B.C." ], "tail": [ "34", "35", "ORDINAL", "first" ] } ], [ { "head": [ "0", "1", "GPE", "B.C." ], "tail": [ "44", "47", "DATE", "this past week" ] } ], [ { "head": [ "0", "1", "GPE", "B.C." ], "tail": [ "51", "53", "PERSON", "Stewart Hawthorn" ] } ], [ { "head": [ "0", "1", "GPE", "B.C." ], "tail": [ "77", "78", "GPE", "BC" ] } ], [ { "head": [ "7", "9", "PERCENT", "93.6 %" ], "tail": [ "0", "1", "GPE", "B.C." ] } ], [ { "head": [ "7", "9", "PERCENT", "93.6 %" ], "tail": [ "27", "34", "ORG", "the B.C. 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[ "Jennifer is an experienced and enthusiastic professional with a strong background in public health, epidemiology, evaluation, marketing and community partnerships. She has nearly 20 years experience working in public health and health care. Since 2007, she has worked at Brooks Rehabilitation, first as Manager of Community Health and most recently as Manager of Strategic Marketing/Manager of Digital and Social Media.\n“The work that this organization has been doing for over 20 years is so important to our community,” Jennifer said. “I am excited to be a part of a team made up of passionate individuals working to reduce infant mortality.”\nA native of Jacksonville, she graduated with an M.P.H from Emory University and a B.S. in Environmental Science from Mercer University." ]

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[ " HAS_EXPERIENCE_FOR_DURATION", " WORKED_AT", " WORKS_FOR", " WORKED_AT\n\n Entities: \n [{'head': ['", " WORKED_FOR", " ORG_EXISTED_FOR\n\n Explanation:\n Jennifer has", " SAME_PERSON", " NATIVE_OF", " HAS_DEGREE", " GRADUATED_FROM", " EDUCATION", " EDUCATION\n\n Explanation:\n Jennifer graduated from Mercer University", " EXPERIENCE_WITH_ORGANIZATION", " WORKED_AT", " WORKED_FOR.", " EXPERIENCE_WITH_ORGANIZATION", " LIVED_IN", " GRADUATED_FROM", " EDUCATION", " WORKED_AT", " WORKED_AT", " WORKED_FOR", " WORKED_AT", " WORKED_IN", " EDUCATED_AT", " EDUCATION", " WORKS_AT", " WORKED_AT.", " WORKED_AT", " WORKED_AT", " WORKED_FOR", " WORKED_FOR\n ORGANIZATION_HAS_DURATION\n", " WORKS_FOR", " WORKS_IN.", " EDUCATION\n\n Explanation:\n Jennifer has a Master of Public", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n Jennifer graduated from Mercer University", " EDUCATED_AT", " WORKED_FOR", " WORKED_AT", " WORKED_FOR", " WORKED_FOR", " LOCATION_OF_ORIGIN", " EDUCATED_AT", " EDUCATION", " WORKED_FOR", " HAS_EXPERIENCE_FOR\n\n Entities: \n [", " STARTED_WORK_AT", " WORKED_FOR", " WORKED_FOR\n\n Entities: \n [{'head': ['", " WORKED_FOR\n\n Explanation:\n Jennifer has worked for the", " MANAGED_BY", " LOCATION.OF.WORK.FOR.PERSON.ORGANIZATION.", " EDUCATION", " EDUCATED_AT", " EDUCATION", " EDUCATION\n\n Explanation:\n Jennifer graduated from Mercer University", " WORKED_FOR\n or\n HAS_BEEN_WORKING_", " WORKED_AT", " WORKED_FOR", " WORKED_FOR.", " LOCATION_IN_REGION", " EDUCATED_AT", " EDUCATION", " SELF_REFERENCE", " HAS_EXPERIENCE_FOR\n\n Entities: \n [", " WORKED_AT", " WORKS_FOR", " WORKED_AT\n\n Entities: \n [{'head': ['", " WORKED_FOR", " WORKED_FOR\n\n Explanation:\n Jennifer has worked for an", " NATIVE_OF", " EDUCATION", " GRADUATED_FROM", " EDUCATION", " EDUCATED_AT", " NATIVE_OF", " WORKED_IN.\n\n Entities: \n [{'head':", " SINCE_YEAR", " WORKED_AT", " NATIVE_OF", " LOCATION_OF\n or\n PART_OF\n or\n LO", " LOCATION_IN_REGION", " NATIVE_OF", " EDUCATED_AT", " GRADUATED_FROM", " EDUCATION\n\n Explanation:\n The text states that Jennifer graduated", " EDUCATED_AT", " EDUCATION", " WORKED_FOR", " EDUCATION\n\n Explanation:\n Jennifer has an M.P", " HAS_DEGREE", " LOCATION_OF\n or\n EDUCATED_AT\n or", " GRADUATED_FROM", " EDUCATED_AT", " 'EDUCATION'", " GRADUATED_FROM", " GRADUATED_FROM", " EDUCATED_AT", " GRADUATED_FROM", " EDUCATION\n\n Explanation:\n Jennifer graduated from Emory University", " GRADUATED_FROM", " GRADUATED_FROM", " EDUCATED_AT", " EDUCATION", " EDUCATION", " EDUCATED_AT", " EDUCATION", " WORKED_FOR", " WORKED_FOR", " EDUCATED_BY", " NO_RELATION.\n\n Entities: \n [{'head': ['", " GRADUATED_FROM", " EDUCATED_AT", " EDUCATED_AT", " EDUCATION_AT.", " GRADUATED_FROM", " EDUCATED_AT", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n Jennifer graduated from Mercer University", " GRADUATED_FROM", " EDUCATED_AT", " EDUCATED_AT", " EDUCATION", " EDUCATED_AT", " EDUCATION" ]

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[ "Add to Wish ListColor\nORNELLA BLACK OVER THE KNEE BOOT\nRegular Price £54.00 NOW £39.00 Regular Price £54.00\nAre you ready for Ornella? They are ready for you! This over the knee boot is perfect for styling up your winter outfits. Pair with your favourite jeans and chunky jumper or midi dress. Made from faux suede material, leg height measures 55cm, width at the top of the leg 31cm with an adjustable lace." ]

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[ " PRICE_OF\n OR PRICE\n OR REGULAR_PRICE_OF", " PRICE_OF\n OR PRICE\n OR COSTS\n OR H", " PRICE_OF\n OR PRICE\n OR COSTS\n OR H", " REGULAR_PRICE", " PRICE_WITH_CURRENCY", " REGULAR_PRICE", " SEASON_OF_YEAR", " HEIGHT_OF", " MEASURES_WIDTH", " SEASON_FOR_PERSON", " HEIGHT_OF_PERSON_OR_OBJECT", " SIZE_OF\n\n Explanation:\n The text mentions that the" ]

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[ "Our Past Projects\nData Elements: ucUserControlSystems.aspx\nBack To Projects\nSanta Fe Farm\nSanta Fe, NM\n\"We have been using this system since 2011 and we are a huge fan.\" Mary E.'s Micro-Bin system composts the manure (no bedding) from her two horses. In three months' time, the finished compost is spread in the turnout ensuring no mud in the naturally sandy and porous soil. \"With all the monsoons, we are the only ones who can walk in their turnout.\" The compost is also used when planting trees. Construction/use of their O2Compost system has more than paid for itself by avoiding hefty waste management fees and an HOA-required screen. Mary's final words? \"NO ODOR, NO FLIES\"" ]

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[ "Nominations open today for awards for some of the unsung heroes in our communities — that’s family carers.\nOne in 20 people in Ireland is a family carer, saving the government ten billion euro in unpaid care every year.\nAmong the winners of last year was teenager Alexandra Ajoi from Sligo who won a Young Carer of the Year Award.\nNomination forms for this year’s awards are now avaialble online at www.familycarers.ie, as well as at CarePlus pharmacies or through the Freephone Careline 1800 24 07 24\nHelen Rochford Brennan, from Tubbercurry, Co Sligo, has early onset Alzheimers and is a spokesperson on dementia.\nShe says carers play a vital role — but many of them are at breaking point:" ]

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[ " NOMINATION_LOCATION", " WINNER_OF\n\n Entities: \n [{'head': ['5", " LOCATION_IN.", " AVAILABLE_AT", " AVAILABLE_THROUGH", " SPOKESPERSON", " LOCATION_OF\n\n Explanation:\n The text mentions that", " LOCATION_OF\n\n Explanation:\n The text mentions that", " ONE_IN\n\n Explanation:\n The text states that \"One in", " WINNER_OF", " LOCATION_OF\n\n Explanation:\n The text mentions that", " AVAILABLE_AT", " AVAILABLE_THROUGH", " SPOKESPERSON", " SAVES_IN\n\n Explanation:\n The text states that \"", " LOCATION_OF\n\n Explanation:\n The text mentions that", " ONE_IN\n\n Explanation:\n The text states that \"One in", " WINNER_OF", " ONE_IN\n\n Explanation:\n The text states that \"One in", " AVAILABLE_AT", " AVAILABLE_THROUGH", " SPOKESPERSON", " ONE_IN\n\n Explanation:\n The text states that \"One in", " ONE_IN\n\n Explanation:\n The text states that \"One in", " OPENED_ON", " ONE_IN\n\n Explanation:\n The text states that \"One in", " ONE_IN\n\n Explanation:\n The text states that \"One in", " SAVES\n\n Explanation:\n The text states that family carers", " SAVE_COSTS", " HELD_IN_YEAR", " WINNER_OF\n\n Entities: \n [{'head': ['2", " LOCATION_IN\n\n Explanation:\n The text mentions that", " AWARDED_BY", " NUMERIC_QUANTITY_OF_PEOPLE_IN_LOCATION", " AVAILABLE_AT", " AVAILABLE_THROUGH", " SPOKESPERSON", " LOCATION_IN\n\n Explanation:\n The text mentions that", " LOCATION_IN\n\n Explanation:\n The text mentions that", " SAVES\n\n Explanation:\n The text states that family carers", " SAVES\n\n Explanation:\n The text states that family carers", " SAVES\n\n Explanation:\n The text states that family carers", " SAVES_MONEY", " SAVES_MONEY_FOR", " SAVES_MONEY_FOR_GOVERNMENT", " SAVES\n\n Explanation:\n The text states that family carers", " SAVES\n\n Explanation:\n The text states that family carers", " AWARDS_HOLD_IN.", " WINNER_OF", " AWARDS_HOLD_LOCATION", " AVAILABLE_AT", " AVAILABLE_THROUGH", " SPOKESPERSON", " LOCATION_OF\n\n Explanation:\n The text mentions that", " LOCATION_OF\n\n Explanation:\n The text mentions that", " HELD_IN\n\n Explanation:\n The text states that nominations", " WINNER_OF", " AWARDED_IN\n\n Explanation:\n The text mentions that", " AVAILABLE_AT", " AVAILABLE_THROUGH", " SPOKE_FOR", " SPOKESPERSON_FOR.", " LOCATION_OF\n\n Explanation:\n The text mentions that", " AWARDED_ON.", " WINNER_OF\n\n Entities: \n [{'head': ['5", " ONE_IN\n\n Entities: \n [{'head': ['53", " WIN_IN\n\n Explanation:\n Alexandra Ajoi is a", " SAVES\n\n Explanation:\n The text states that family carers", " AWARDED_YEARLY", " WON_AWARD", " WIN_FROM\n\n Entities: \n [{'head': ['53", " RECIPIENT_OF_AWARD", " WON_IN_YEAR", " AVAILABLE_AT", " AVAILABLE_THROUGH", " CAREGIVER_FOR", " FROM_LOCATION", " FROM_LOCATION", " OPENED_IN_LOCATION", " ONE_IN\n\n Explanation:\n The text states that \"One in", " ONE_IN\n\n Explanation:\n The text states that \"One in", " LOCATION_IN\n\n Explanation:\n The text mentions that", " SAVES\n\n Explanation:\n The text states that family carers", " AWARDS_GIVEN_YEARLY_IN_LOCATION", " HELD_IN_THE_YEARS\n\n Explanation:\n ", " WINNER_OF", " LOCATION_OF\n or\n ORGANIZER_OF\n\n", " AWARDS_FOR\n\n Entities: \n [{'head': ['", " AVAILABLE_AT", " AVAILABLE_THROUGH", " SPOKESPERSON", " LOCATION_IN_LOCATION", " LOCATION_IN\n\n Explanation:\n The text mentions that", " SAVES_MONEY_FOR", " RECIPIENT_OF_AWARD", " ORIGINATED_IN.", " AVAILABLE_AT", " PROVIDES_SERVICE", " RECIPIENT", " SPOKE_FOR", " LOCATION_OF\n\n Explanation:\n The text mentions that", " NUMERIC_QUANTITY_IN_REGION", " WINNER_OF\n\n Entities: \n [{'head': ['5", " OPENED_IN\n\n Explanation:\n The text mentions that", " AVAILABLE_AT", " AVAILABLE_THROUGH", " SPOKESPERSON", " LIVES_IN", " LOCATION_OF\n\n Explanation:\n The text mentions that", " AVAILABLE_AT", " LOCATION_NEARBY", " LOCATION_NEARBY", " LOCATION_IN.", " SAVES\n\n Explanation:\n The text states that family carers", " AVAILABLE_AT", " AVAILABLE_AT", " AVAILABLE_AT", " LOCATION_OF\n\n Explanation:\n The text mentions that", " PROVIDES_AWARD", " AVAILABLE_AT", " LOCATION_NEARBY", " LOCATION_NEARBY", " LOCATION_OF\n OR LOCATION\n\n Explanation:\n", " LOCATION_NEARBY", " AVAILABLE_THROUGH", " AVAILABLE_THROUGH", " AVAILABLE_THROUGH", " AVAILABLE_IN\n\n Explanation:\n The text states that nom", " SAVES\n\n Explanation:\n The text states that family carers", " AVAILABLE_THROUGH", " AVAILABLE_THROUGH", " AVAILABLE_THROUGH", " AVAILABLE_IN\n\n Explanation:\n The text mentions that", " PROVIDES_APPLICATION_FORM_FOR\n\n Explanation:\n ", " AVAILABLE_THROUGH", " AVAILABLE_AT", " CONTACT_INFO\n\n Explanation:\n The text mentions that", " PROVIDES_SERVICE_IN_LOCATION", " LOCATION_OF\n OR LOCATED_IN (Both are valid for", " ANNOUNCEMENT", " SPOKESPERSON_FOR\n\n Explanation:\n In the", " ONE_IN\n\n Explanation:\n The text states that \"One in", " SPOKESPERSON_FOR\n\n Explanation:\n In the", " SAVE\n\n Explanation:\n The text states that family carers save", " SPOKESPERSON_FOR\n\n Explanation:\n In the", " SPOKESPERSON_FOR\n\n Explanation:\n In the", " SPOKE_FOR\n\n Explanation:\n In the context, Helen", " LOCATION_OF\n\n Explanation:\n The text states that Helen", " RECIPIENT", " SPOKESPERSON_FOR\n\n Explanation:\n In the", " AVAILABLE_AT", " CONTACT_INFO", " LIVES_IN", " LOCATION_OF\n\n Explanation:\n The text mentions that", " LOCATION_OF\n\n Explanation:\n The text mentions that", " SPOKESPERSON_FOR\n\n Explanation:\n In the", " ONE_IN\n\n Explanation:\n The text states that \"One in", " LOCATION_IN\n\n Explanation:\n The text mentions that", " SAVES\n\n Explanation:\n The text states that family carers", " ANNUALLY_OCCURS", " FROM_YEARS_AGO", " WINNER_OF\n\n Entities: \n [{'head': ['1", " LOCATION_IN\n\n Explanation:\n The text mentions that", " RECIPIENT_OF_AWARD", " FROM_LOCATION", " AVAILABLE_AT", " AVAILABLE_THROUGH", " SPOKESPERSON", " LOCATION_IN\n\n Explanation:\n The text mentions that", " EVENT_STARTS_IN_LOCATION", " LOCATION_OF\n\n Explanation:\n The text mentions that", " ONE_IN\n\n Explanation:\n The text states that \"One in", " LOCATION_IN\n\n Explanation:\n The text mentions that", " SAVES\n\n Explanation:\n The text states that family carers", " ANNUALLY_OCCURS_IN", " PREVIOUS_YEAR", " WINNER_OF\n\n Entities: \n [{'head': ['5", " LOCATION_IN\n\n Explanation:\n The text mentions '", " LOCATION_OF\n or\n ORGANIZER_OF\n\n", " LOCATION_OF\n\n Explanation:\n The text mentions that", " AVAILABLE_AT", " AVAILABLE_THROUGH", " SPOKESPERSON", " LOCATION_IN\n\n Explanation:\n The text mentions that" ]

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[ "Skip to content\nS1M STRIKER ACADEMY is excited to announce that they will be having their 1st ever camp in Canada from July 24th to 28th 2023 at the Julian De Guzman park in Ottawa!\nPlayers will be able to take part in a 5 day training program focused on Striker/Forward and Attacking play.\nSessions will be taught by Former Premier League and Men’s National team Striker Simeon Jackson.\nCamp is offered for ages 8-15 from 9am to 3pm at Julian De Guzman Park in Carlsbad Springs.\nThe cost for the week of training is 525$" ]

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[ " LOCATION.IN.EVENT", " LOCATION.\n\n Entities: \n [{'head': ['S", " TRAINED_IN\n\n Explanation:\n The text states that", " TAUGHT_BY", " TEACHER_OF", " LOCATION.\n\n Explanation:\n The text states that the S", " ANNUAL_EVENT_OF", " TAKES_PLACE_IN", " LOCATION_IN. 'Canada' is located_in 'the Julian De Gu", " LOCATION.IN.LOCATION", " CAMP_LOCATION\n\n Explanation:\n The text states that the", " PREVIOUSLY_PLAYED_IN.", " TRAINED_BY", " TEACHER_OF", " CAMP_LOCATION_IN\n or\n EVENT_DATE_IN\n ", " TIME_OF_EVENT", " LOCATION_IN. 'Canada' is the location where 'Julian De", " LOCATION_IN. LOCATION_IN is used when the head entity is a", " CAMP_LOCATION\n\n Explanation:\n The text states that the", " COSTS\n # This model is a simple rule based model and does not have the", " TAKES_PLACE_IN", " LOCATION.\n\n Explanation:\n The text states that the S", " TRAINED_IN\n\n Explanation:\n The text states that", " TRAINED_BY", " TEACHER_OF", " LOCATION.\n\n Explanation:\n The text states that the S", " LOCATION_IN.\n Or, if you prefer:\n LOCATED", " LOCATION_IN\n\n Explanation:\n The text states that the", " TRAINED_IN\n\n Explanation:\n The text mentions", " TRAINED_BY", " TEACHER_OF", " LOCATION_IN.", " LOCATION_OF\n OR\n HOST_OF\n OR\n ", " LOCATION_IN. The text states that the camp is in Ottawa, Canada.", " LOCATION_FROM_DATE", " LOCATION_AT.\n This relation indicates that the location 'Ottawa'", " LOCATION_IN_REGION", " TRAINED_IN\n\n Explanation:\n The text mentions", " TAUGHT_BY", " TEACHES", " LOCATION_IN_REGION", " LOCATION_TIME", " LOCATION_AT.\n This indicates that the location 'Ottawa' is", " LOCATION_IN_LOCATION", " LOCATION_EVENT_DATE", " COSTS\n or\n FEE_FOR\n or\n PRICES", " TAKES_PLACE_IN", " LOCATION.IN.TIME.PERIOD", " TRAINED_IN\n\n Explanation:\n The text states that", " TAUGHT_BY", " TEACHER_OF", " LOCATION.\n\n Explanation:\n The head entity represents the ", " PREVIOUSLY_PART_OF", " HOSTED_IN", " CAMP_DATE.\n\n Or, if the text mentions multiple relations, return", " LOCATED_AT", " HOSTED_IN", " TRAINED_IN\n\n Explanation:\n The text states that", " FORMER_MEMBER_OF", " TAUGHT_BY", " TAUGHT_BY", " TRAINS_AT\n\n Explanation:\n The text states that \"", " LOCATED_AT", " LOCATION_OF\n or\n VENUE_FOR\n or\n", " TRAINED_IN\n\n Explanation:\n The text states that", " COSTS\n or\n FEE_FOR\n or\n PRICES", " PREVIOUS_MEMBER", " HOSTED_IN", " HOLDS_DATE", " LOCATION_OF\n or\n HOST_OF\n or\n ", " LOCATION_OF\n OR:\n HOST_OF", " TAUGHT_BY", " FORMER_MEMBER_OF", " COACHED_BY", " TRAINED_BY", " TRAINS_AT\n\n Explanation:\n The text states that \"", " LOCATION_OF\n or\n HOST_OF\n or\n ", " LOCATED_IN", " TRAINED_BY", " COSTS\n\n Explanation:\n The text states that the 'Men", " ANNOUNCED_BY", " HOSTED_IN", " CAMP_DATE.\n\n Or, if the text mentions multiple relations, return", " TEACHES_AT", " LOCATION_OF\n or\n TEACHER_OF\n or\n", " TEACHER_OF\n or\n INSTRUCTS\n or\n IMP", " TAUGHT_IN\n\n Explanation:\n The text states that", " COACHED_BY", " CAMP_FOR\n\n Explanation:\n The text states that Sime", " TRAINS\n\n Explanation:\n The text states that Sessions will", " TEACHER_OF", " LOCATION_OF\n or\n TRAINER_AT\n or", " TEACHES", " COSTS\n or\n FEE_FOR\n or\n CHARG", " HAPPENS_IN", " OFFERED_IN", " TRAINED_IN\n\n Explanation:\n The text mentions", " TRAINED_BY", " TEACHER_OF", " OFFERED_IN", " TIME_IN_GPE", " TIME_IN_LOCATION", " TRAINED_BY\n\n Explanation:\n The text states that", " TRAINED_BY", " TEACHER_OF", " TIME_OF_DAY_FOR_LOCATION", " LOCATION_IN.\n Or, if you prefer, you can use the following", " LOCATION_IN. 'Julian De Guzman Park' is located_", " HOSTED_BY", " TRAINED_BY", " TEACHER_OF", " LOCATION_IN\n\n Explanation:\n The text states that the", " LOCATION_OF\n OR\n HOSTED_AT\n OR\n", " LOCATION_IN\n or\n LOCATION\n\n Explanation", " LOCATION_FROM_DATE", " LOCATION_OF\n or\n LOCATED_AT\n or\n", " LOCATION_IN. LOCATION_IN indicates that one location is a sublocation", " LOCATION_OF\n OR\n TEMP_LOCATION_OF\n ", " TRAINED_IN\n\n Explanation:\n The text states that", " TRAINED_BY", " LOCATION_OF\n or\n TEACHES\n depending on the desired", " LOCATION_IN\n or\n DATETIME_IN\n or", " LOCATION_OF\n OR\n TIME_OF\n ANSWER:", " LOCATION_AT.\n This indicates that the location 'Carlsbad Springs", " LOCATION_OF\n or\n LOCATION\n\n [{'head", " COSTS\n or\n FEE_FOR\n or\n PRICES", " TAKES_PLACE_IN", " LOCATION.\n\n Explanation:\n The text states that the S", " TRAINED_IN\n\n Explanation:\n The text mentions", " TAUGHT_BY", " TEACHER_OF", " LOCATION.\n\n Explanation:\n The text states that the S", " COSTS\n or\n FEE_FOR\n or\n PAID", " COSTS\n or\n FEE_FOR\n or\n PAID", " PAID_BY\n\n Explanation:\n The text states that the cost", " TRAINED_BY", " TEACHER_OF\n or\n FEE_FOR_SERVICE_PROVID", " COSTS\n This relation indicates that the money (525) costs something in" ]

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[ "Bon Voyage 0 Jack Finn Collection The Catalina steamship leaves the dock at San Pedro for its voyage to Avalon. Jack Finn Collection Bon Voyage2009-12-142011-11-27https://www.pacificelectric.org/wp-content/uploads/2018/05/peryhs-logo-350.pngPacific Electric Railway Historical Societyhttps://www.pacificelectric.org/wp-content/uploads/2018/05/peryhs-logo-350.png200px200pxRecent PostsPacific Electric Railway PCC no. 5028 in El SegundoPacific Electric’s Rio Vista Shelter Then & NowPacific Electric in Lego LandRiverside – Rialto Line Leave a Comment Cancel reply Save my name, email, and website in this browser for the next time I comment. Δ This site uses Akismet to reduce spam. Learn how your comment data is processed." ]

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[ [ { "head": [ "3", "5", "PERSON", "Jack Finn" ], "tail": [ "7", "8", "PRODUCT", "Catalina" ] } ], [ { "head": [ "3", "5", "PERSON", "Jack Finn" ], "tail": [ "13", "15", "GPE", "San Pedro" ] } ], [ { "head": [ "3", "5", "PERSON", "Jack Finn" ], "tail": [ "19", "20", "LOC", "Avalon" ] } ], [ { "head": [ "3", "5", "PERSON", "Jack Finn" ], "tail": [ "21", "23", "PERSON", "Jack Finn" ] } ], [ { "head": [ "3", "5", "PERSON", "Jack Finn" ], "tail": [ "36", "37", "CARDINAL", "5028" ] } ], [ { "head": [ "3", "5", "PERSON", "Jack Finn" ], "tail": [ "38", "40", "GPE", "El SegundoPacific" ] } ], [ { "head": [ "3", "5", "PERSON", "Jack Finn" ], "tail": [ "42", "45", "FAC", "Rio Vista Shelter" ] } ], [ { "head": [ "7", "8", "PRODUCT", "Catalina" ], "tail": [ "3", "5", "PERSON", "Jack Finn" ] } ], [ { "head": [ "7", "8", "PRODUCT", "Catalina" ], "tail": [ "13", "15", "GPE", "San Pedro" ] } ], [ { "head": [ "7", "8", "PRODUCT", "Catalina" ], "tail": [ "19", "20", "LOC", "Avalon" ] } ], [ { "head": [ "7", "8", "PRODUCT", "Catalina" ], "tail": [ "21", "23", "PERSON", "Jack Finn" ] } ], [ { "head": [ "7", "8", "PRODUCT", "Catalina" ], "tail": [ "38", "40", "GPE", "El SegundoPacific" ] } ], [ { "head": [ "13", "15", "GPE", "San Pedro" ], "tail": [ "3", "5", "PERSON", "Jack Finn" ] } ], [ { "head": [ "13", "15", "GPE", "San Pedro" ], "tail": [ "7", "8", "PRODUCT", "Catalina" ] } ], [ { "head": [ "13", "15", "GPE", "San Pedro" ], "tail": [ "19", "20", "LOC", "Avalon" ] } ], [ { "head": [ "13", "15", "GPE", "San Pedro" ], "tail": [ "21", "23", "PERSON", "Jack Finn" ] } ], [ { "head": [ "13", "15", "GPE", "San Pedro" ], "tail": [ "36", "37", "CARDINAL", "5028" ] } ], [ { "head": [ "13", "15", "GPE", "San Pedro" ], "tail": [ "38", "40", "GPE", "El SegundoPacific" ] } ], [ { "head": [ "13", "15", "GPE", "San Pedro" ], "tail": [ "42", "45", "FAC", "Rio Vista Shelter" ] } ], [ { "head": [ "19", "20", "LOC", "Avalon" ], "tail": [ "3", "5", "PERSON", "Jack Finn" ] } ], [ { "head": [ "19", "20", "LOC", "Avalon" ], "tail": [ "7", "8", "PRODUCT", "Catalina" ] } ], [ { "head": [ "19", "20", "LOC", "Avalon" ], "tail": [ "13", "15", "GPE", "San Pedro" ] } ], [ { "head": [ "19", "20", "LOC", "Avalon" ], "tail": [ "21", "23", "PERSON", "Jack Finn" ] } ], [ { "head": [ "19", "20", "LOC", "Avalon" ], "tail": [ "36", "37", "CARDINAL", "5028" ] } ], [ { "head": [ "19", "20", "LOC", "Avalon" ], "tail": [ "38", "40", "GPE", "El SegundoPacific" ] } ], [ { "head": [ "19", "20", "LOC", "Avalon" ], "tail": [ "42", "45", "FAC", "Rio Vista Shelter" ] } ], [ { "head": [ "21", "23", "PERSON", "Jack Finn" ], "tail": [ "3", "5", "PERSON", "Jack Finn" ] } ], [ { "head": [ "21", "23", "PERSON", "Jack Finn" ], "tail": [ "7", "8", "PRODUCT", "Catalina" ] } ], [ { "head": [ "21", "23", "PERSON", "Jack Finn" ], "tail": [ "13", "15", "GPE", "San Pedro" ] } ], [ { "head": [ "21", "23", "PERSON", "Jack Finn" ], "tail": [ "19", "20", "LOC", "Avalon" ] } ], [ { "head": [ "21", "23", "PERSON", "Jack Finn" ], "tail": [ "36", "37", "CARDINAL", "5028" ] } ], [ { "head": [ "21", "23", "PERSON", "Jack Finn" ], "tail": [ "38", "40", "GPE", "El SegundoPacific" ] } ], [ { "head": [ "21", "23", "PERSON", "Jack Finn" ], "tail": [ "42", "45", "FAC", "Rio Vista Shelter" ] } ], [ { "head": [ "36", "37", "CARDINAL", "5028" ], "tail": [ "3", "5", "PERSON", "Jack Finn" ] } ], [ { "head": [ "36", "37", "CARDINAL", "5028" ], "tail": [ "13", "15", "GPE", "San Pedro" ] } ], [ { "head": [ "36", "37", "CARDINAL", "5028" ], "tail": [ "19", "20", "LOC", "Avalon" ] } ], [ { "head": [ "36", "37", "CARDINAL", "5028" ], "tail": [ "21", "23", "PERSON", "Jack Finn" ] } ], [ { "head": [ "36", "37", "CARDINAL", "5028" ], "tail": [ "38", "40", "GPE", "El SegundoPacific" ] } ], [ { "head": [ "38", "40", "GPE", "El SegundoPacific" ], "tail": [ "3", "5", "PERSON", "Jack Finn" ] } ], [ { "head": [ "38", "40", "GPE", "El SegundoPacific" ], "tail": [ "7", "8", "PRODUCT", "Catalina" ] } ], [ { "head": [ "38", "40", "GPE", "El 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SegundoPacific" ] } ] ]

[ " COLLECTS\n\n Explanation:\n The text mentions that \"The", " LEAVES_FROM", " DEPARTS_FROM", " SELF_REFERENCE", " COLLECTED_BY", " LOCATED_IN", " OWNER_OF\n\n Explanation:\n The text mentions that", " COLLECTED_BY", " LEAVES_FROM", " LEAVES_FROM", " COLLECTED_BY", " LEAVES_FROM", " LEAVES_FROM", " LEAVES_FROM", " LEAVES_FROM", " LEAVES_FROM", " LEAVES_FROM", " LEAVES_FROM", " LEAVES_FROM", " DEPARTS_FROM", " DESTINATION", " LEAVES_FROM", " DEPARTS_FROM", " DESTINATION", " LEAVES_FROM", " DESTINATION", " SELF_REFERENCE", " COLLECTOR_OF\n or\n OWNER_OF\n or\n", " LEAVES_FROM", " DEPARTS_FROM", " OWNER", " LEAVES_FROM", " OWNER_OF\n\n Explanation:\n The text mentions that", " OWNED_BY", " LEAVES_FROM", " LEAVES_FROM", " OWNED_BY", " LEAVES_FROM", " LOCATION_OF\n or\n OWNER_OF\n or\n", " LEAVES_FROM", " LEAVES_FROM", " LEAVES_FROM", " LOCATION_OF\n or\n ORGANIZED_BY\n ", " LOCATION_OF\n or\n OWNER_OF\n or\n", " LEAVES_FROM", " OWNED_BY", " LEAVES_FROM", " DESTINATION", " OWNED_BY", " LEAVES_FROM" ]

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[ "Bob Pardo has done a lot.\nHe is a celebrated asset manager with his program XT99 Diversified which produced an annual rate of return of 19% over twelve years. Its biggest year was +142% n 2008. XT99 Diversified was cited over thirty times by publications such as Barclay Hedge.\nBob is a world class expert in strategy development and the author of the definitive book on the subject - The Evaluation and Optimization of Trading Strategies. He is the inventor of Walk-Forward Analysis as presented in the first version of his book in 1990\nBob is an educator with his highly regarded audio-visual course Building Robust Trading Strategies Master Class.\nHe was a consultant for top firms like Goldman Sachs, Daiwa Securities and Transworld Oil among many others.\nLast, but far from least, Bob was a leading pioneer of algorithmic trading with his sophisticated ground-breaking software applications at the Pardo Corporation. For more information please visit our website." ]

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"tail": [ "171", "174", "ORG", "the Pardo Corporation" ] } ], [ { "head": [ "137", "139", "ORG", "Daiwa Securities" ], "tail": [ "0", "2", "PERSON", "Bob Pardo" ] } ], [ { "head": [ "137", "139", "ORG", "Daiwa Securities" ], "tail": [ "17", "19", "PRODUCT", "XT99 Diversified" ] } ], [ { "head": [ "137", "139", "ORG", "Daiwa Securities" ], "tail": [ "27", "29", "PERCENT", "19%" ] } ], [ { "head": [ "137", "139", "ORG", "Daiwa Securities" ], "tail": [ "30", "32", "DATE", "twelve years" ] } ], [ { "head": [ "137", "139", "ORG", "Daiwa Securities" ], "tail": [ "37", "39", "PERCENT", "+142%" ] } ], [ { "head": [ "137", "139", "ORG", "Daiwa Securities" ], "tail": [ "40", "41", "DATE", "2008" ] } ], [ { "head": [ "137", "139", "ORG", "Daiwa Securities" ], "tail": [ "42", "44", "PRODUCT", "XT99 Diversified" ] } ], [ { "head": [ "137", "139", "ORG", "Daiwa Securities" ], "tail": [ "47", "48", "CARDINAL", "thirty" ] } ], [ { "head": [ "137", "139", "ORG", "Daiwa Securities" ], "tail": [ "53", 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[ " MANAGED_BY", " MANAGED_BY\n\n Explanation:\n The text states that", " MANAGED_FOR\n\n Explanation:\n The text states that", " PRODUCED_RETURN", " BEST_YEAR", " MANAGES\n\n Explanation:\n Bob Pardo manages X", " MENTIONED_IN.", " 'MENTIONED_IN'", " SELF_REFERENCE", " AUTHOR", " LEADING_PIIONEER", " INVENTED", " SELF_REFERENCE", " AUTHOR", " CONSULTED_FOR", " CONSULTED_FOR", " CONSULTED_BY", " SELF_REFERENCE", " FOUNDER", " MANAGES\n\n Explanation:\n The text states that \"He", " MENTIONED_IN.", " MANAGED_BY", " MANAGES\n\n Explanation:\n The text states that \"He", " CONSULTED_BY", " CONSULTED_BY", " CONSULTED_BY", " MANAGES\n\n Explanation:\n The text states that \"He", " CREATED_BY", " ANNUAL_RATE_OF_RETURN", " REFERRED_BY", " ANNUAL_RATE_OF_RETURN", " ANNUAL_RATE_OF_RETURN", " CONSULTED_BY", " CONSULTED_BY", " CONSULTED_BY", " ANNUAL_RATE_OF_RETURN", " FOUNDER_OR_CREATOR", " MANAGED_BY\n or\n HEAD_OF\n\n Ex", " MENTIONED_IN.", " MANAGED_BY\n or\n HEAD_OF\n\n Ex", " MANAGED_BY\n\n Explanation:\n The text states that", " CONSULTED_BY", " CONSULTED_BY", " CONSULTED_BY", " MANAGED_BY\n\n Explanation:\n The text states that", " HEAD_OF\n\n Explanation:\n The text states that Bob P", " HAD_BIGGEST_YEAR", " REFERRED_BY", " PRODUCED_RETURN", " PRODUCED_RETURN", " CONSULTED_BY", " CONSULTED_BY", " CONSULTED_BY", " PRODUCED_RETURN", " SOFTWARE_APPLICATIONS_OF_ORGANIZATION", " BIGGEST_YEAR", " REFERRED_BY", " BIGGEST_YEAR", " BIGGEST_YEAR", " CONSULTED_BY", " CONSULTED_BY", " CONSULTED_BY", " BIGGEST_YEAR", " LEADING_PIIONEER", " MANAGES\n\n Explanation:\n The text states that \"He", " MENTIONED_IN.", " MANAGES\n\n Explanation:\n The text states that \"He", " MANAGES\n\n Explanation:\n The text states that \"He", " CONSULTED_BY", " CONSULTED_BY", " CONSULTED_BY", " MANAGES\n\n Explanation:\n The text states that \"He", " CREATED_BY", " MENTIONED_IN.", " MENTIONED_IN.", " MENTIONED_IN.", " MENTIONED_IN.", " CONSULTED_BY", " CONSULTED_BY", " CONSULTED_BY", " MENTIONED_IN.", " MENTIONED_IN.", " 'MENTIONED_IN'", " CITED_BY", " CITED_BY", " CITED_BY", " CITED_BY", " CITED_IN", " CITED_BY", " MENTIONED_BY", " CITED_BY", " REFERRED_BY", " 'MENTIONED'\n\n Explanation:\n The text mentions Bar", " MENTIONED_IN.", " CITED_BY", " MENTIONED_IN.", " 'MENTIONED_IN'", " 'MENTIONED_IN'", " 'MENTIONED_IN'", " CITED_BY", " CITED_BY", " NO_RELATION", " MANAGES\n\n Explanation:\n The text states that \"He", " MANAGED_BY\n or\n HAS_PRODUCED\n", " MANAGED_FOR\n\n Explanation:\n The text states that", " PRODUCED_RETURN", " HAD_BIGGEST_YEAR", " MANAGES\n\n Explanation:\n The text states that \"He", " MENTIONED_IN.", " 'MENTIONED_IN'", " AUTHOR", " LEADING_PIIONEER", " INVENTED", " SELF_REFERENCE", " AUTHOR", " CONSULTED_FOR", " CONSULTED_FOR", " CONSULTED_FOR", " SELF_REFERENCE", " FOUNDER", " WRITTEN_BY", " REFERRED_BY", " WRITTEN_BY", " WRITTEN_BY", " CONSULTED_BY", " CONSULTED_BY", " CONSULTED_BY", " WRITTEN_BY", " AUTHOR_OF\n\n Explanation:\n The text states that Bob P", " XT99_Diversified_is_managed_by_Bob_P", " MENTIONED_IN.", " NO_RELATION. The entities do not have a direct relation in the text.", " PRODUCED_BY", " CONSULTED_BY", " CONSULTED_BY", " CONSULTED_BY", " HEAD_OF\n\n Explanation:\n The text states that \"B", " LEADING_PIIONEER", " INVENTED", " REFERRED_BY", " INVENTED", " INVENTED", " CONSULTED_FOR", " CONSULTED_BY", " CONSULTED_BY", " INVENTED", " INVENTED_BY", " NO_RELATION", " MANAGES\n\n Explanation:\n The text states that \"He", " MANAGED_BY\n\n Explanation:\n The text states that", " MANAGED_FOR\n\n Explanation:\n The text states that", " PRODUCED_RETURN", " HAD_BIGGEST_YEAR", " MANAGES\n\n Explanation:\n Bob manages XT9", " MENTIONED_IN.", " 'MENTIONED_IN'", " SELF_REFERENCE", " AUTHOR_OF", " LEADING_PIIONEER", " INVENTED", " AUTHOR", " CONSULTED_FOR", " CONSULTED_FOR", " CONSULTED_FOR", " SELF_REFERENCE", " FOUNDER", " EDUCATOR", " REFERRED_BY", " EDUCATOR", " EDUCATOR", " CONSULTED_BY", " CONSULTED_BY", " CONSULTED_BY", " EDUCATOR", " EDUCATOR_OF", " CONSULTED_BY", " CONSULTED_FOR", " CONSULTED_BY", " CONSULTED_FOR\n OR\n WORKED_FOR\n (", " CONSULTED_BY", " CONSULTED_IN. This is the relation between the head entity (Goldman Sach", " CONSULTED_FOR", " CONSULTED_BY", " CONSULTED_BY", " CONSULTED_BY", " CONSULTED_ON", " CONSULTED_FOR", " CONSULTED_IN.", " CONSULTED_BY", " CONSULTED_BY", " CONSULTED_FOR", " CONSULTED_FOR", " CONSULTED_BY", " CONSULTED_BY", " CONSULTED_BY", " CONSULTED_FOR", " CONSULTED_BY", " CONSULTED_FOR\n Or\n NO_RELATION (if no relation", " CONSULTED_BY", " CONSULTED_IN.", " CONSULTED_FOR", " CONSULTED_BY", " CONSULTED_BY", " CONSULTED_BY", " CONTACTED_BY", " CONSULTED_FOR", " CONSULTED_IN.", " CONSULTED_BY", " CONSULTED_BY", " CONSULTED_FOR", " CONSULTED_FOR", " CONSULTED_BY", " CONSULTED_BY", " CONSULTED_BY", " CONSULTED_BY", " NO_RELATION", " CONSULTED_BY", " Transworld_Oil_is_a_client_of_XT99_D", " CONTACTED_IN_YEAR", " CONSULTED_FOR", " MENTIONED_IN.", " 'MENTIONED_IN'", " CONSULTED_BY", " CONTAINED_IN\n or\n PUBLISHED_BY\n", " CONSULTED_BY", " CONSULTED_IN.", " CONSULTED_BY", " CONSULTED_FOR", " CONSULTED_FOR", " CONSULTED_FOR", " CONSULTED_BY", " CONSULTED_BY", " NO_RELATION", " MANAGES\n\n Explanation:\n The text states that Bob is", " MANAGED_BY\n OR\n HAS_PRODUCED\n", " MANAGED_FOR\n\n Explanation:\n The text states that", " PRODUCED_RETURN", " HAD_BIGGEST_YEAR", " MANAGES\n\n Explanation:\n The text states that \"He", " MENTIONED_IN.", " 'MENTIONED_IN'", " SELF_REFERENCE", " AUTHOR_OF", " LEADING_PIIONEER", " INVENTED", " SELF_REFERENCE", " AUTHOR", " CONSULTED_FOR", " CONSULTED_FOR", " CONSULTED_FOR", " FOUNDER", " 'ORGANIZATION_FOUNDED_BY'", " ORGANIZATION_PRODUCES\n\n Explanation:\n ", " THE_ORG_HAS_PRODUCED_A_RETURN_OF\n ", " SOFTWARE_APPLICATION_OF_ORG_HAVE_TIME_SPAN", " SOFTWARE_APPLICATION_PRODUCED_RETURN", " GROUND_BREAKING_ SOFTWARE_APPLICATIONS_AT_OR", " ORGANIZATION_PRODUCES\n\n Explanation:\n ", " THE PARDO CORPORATION WAS CITED THIRTY TIMES", " CONSULTED_BY", " HEAD_OF\n\n Explanation:\n The text states that \"B", " AUTHOR_OF\n\n Explanation:\n The text states that Bob P", " LEADING_PIIONEER", " INVENTED", " HEAD_OF\n\n Explanation:\n The text states that \"B", " ORGANIZED_BY", " CONSULTED_BY", " CONSULTED_BY", " CONSULTED_BY", " HEAD_OF\n\n Explanation:\n The text states that \"B" ]

[ [ "0", "2", "PERSON", "Bob Pardo" ], [ "17", "19", "PRODUCT", "XT99 Diversified" ], [ "27", "29", "PERCENT", "19%" ], [ "30", "32", "DATE", "twelve years" ], [ "37", "39", "PERCENT", "+142%" ], [ "40", "41", "DATE", "2008" ], [ "42", "44", "PRODUCT", "XT99 Diversified" ], [ "47", "48", "CARDINAL", "thirty" ], [ "53", "55", "ORG", "Barclay Hedge" ], [ "57", "58", "PERSON", "Bob" ], [ "77", "84", "WORK_OF_ART", "The Evaluation and Optimization of Trading Strategies" ], [ "98", "99", "ORDINAL", "first" ], [ "104", "105", "DATE", "1990" ], [ "106", "107", "PERSON", "Bob" ], [ "118", "124", "WORK_OF_ART", "Building Robust Trading Strategies Master Class" ], [ "134", "136", "ORG", "Goldman Sachs" ], [ "137", "139", "ORG", "Daiwa Securities" ], [ "140", "142", "ORG", "Transworld Oil" ], [ "154", "155", "PERSON", "Bob" ], [ "171", "174", "ORG", "the Pardo Corporation" ] ]

[ "About Philadelphia 76ers\nThe Philadelphia 76ers joined the Black History Month Assist Challenge in its second year to help raise awareness about prostate cancer in the African-American community, while raising funds to support life-saving research. The Sixers pledged to donate $250 per assist throughout the month, totaling $67,000 towards PCF. Through their company Harris Blitzer Sports & Entertainment (HBSE), owners Joshua Harris and David Blitzer matched the team and contributed another $50,000 to reach a total of $150,000. Learn more here." ]

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[ "Sondra R. Barber - Dacula GA Tax Preparer\nFor tax preparation in Dacula GA, you can count on Sondra R. Barber at Professional Tax. Sondra R. Barber assists taxpayers and small businesses with taxes in Dacula GA and the surrounding communities. Whether you are an individual or a local business in or around Dacula GA, Sondra R. Barber has years of valuable experience as an IRS registered tax preparer. Contact Sondra R. Barber, tax filing specialist in Dacula GA, for help with your taxes.\nLooking to find the best rated tax preparer in Dacula GA?\nSondra R. Barber is a local tax preparer at Professional Tax located in Dacula GA. Sondra R. Barber and other tax preparers located in Dacula GA will help you with tax preparation, tax planning, bookkeeping, estate and trust taxes, and so much more." ]

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Barber" ] } ], [ { "head": [ "123", "126", "PERSON", "Sondra R. Barber" ], "tail": [ "4", "6", "GPE", "Dacula GA" ] } ], [ { "head": [ "123", "126", "PERSON", "Sondra R. Barber" ], "tail": [ "13", "15", "GPE", "Dacula GA" ] } ], [ { "head": [ "123", "126", "PERSON", "Sondra R. Barber" ], "tail": [ "20", "23", "PERSON", "Sondra R. Barber" ] } ], [ { "head": [ "123", "126", "PERSON", "Sondra R. Barber" ], "tail": [ "24", "26", "ORG", "Professional Tax" ] } ], [ { "head": [ "123", "126", "PERSON", "Sondra R. Barber" ], "tail": [ "27", "30", "PERSON", "Sondra R. Barber" ] } ], [ { "head": [ "123", "126", "PERSON", "Sondra R. Barber" ], "tail": [ "38", "39", "GPE", "Dacula" ] } ], [ { "head": [ "123", "126", "PERSON", "Sondra R. Barber" ], "tail": [ "57", "58", "GPE", "Dacula" ] } ], [ { "head": [ "123", "126", "PERSON", "Sondra R. Barber" ], "tail": [ "58", "59", "GPE", "GA" ] } ], [ { "head": [ "123", "126", "PERSON", "Sondra R. Barber" ], "tail": [ "60", "63", "PERSON", "Sondra R. Barber" ] } ], [ { "head": [ "123", "126", "PERSON", "Sondra R. Barber" ], "tail": [ "70", "71", "ORG", "IRS" ] } ], [ { "head": [ "123", "126", "PERSON", "Sondra R. Barber" ], "tail": [ "76", "79", "PERSON", "Sondra R. Barber" ] } ], [ { "head": [ "123", "126", "PERSON", "Sondra R. Barber" ], "tail": [ "84", "85", "GPE", "Dacula" ] } ], [ { "head": [ "123", "126", "PERSON", "Sondra R. Barber" ], "tail": [ "85", "86", "GPE", "GA" ] } ], [ { "head": [ "123", "126", "PERSON", "Sondra R. Barber" ], "tail": [ "103", "105", "GPE", "Dacula GA" ] } ], [ { "head": [ "123", "126", "PERSON", "Sondra R. Barber" ], "tail": [ "107", "110", "PERSON", "Sondra R. Barber" ] } ], [ { "head": [ "123", "126", "PERSON", "Sondra R. Barber" ], "tail": [ "116", "118", "ORG", "Professional Tax" ] } ], [ { "head": [ "123", "126", "PERSON", "Sondra R. Barber" ], "tail": [ "120", "121", "GPE", "Dacula" ] } ], [ { "head": [ "123", "126", "PERSON", "Sondra R. Barber" ], "tail": [ "121", "122", "GPE", "GA" ] } ], [ { "head": [ "123", "126", "PERSON", "Sondra R. Barber" ], "tail": [ "132", "133", "GPE", "Dacula" ] } ], [ { "head": [ "123", "126", "PERSON", "Sondra R. Barber" ], "tail": [ "133", "134", "GPE", "GA" ] } ], [ { "head": [ "132", "133", "GPE", "Dacula" ], "tail": [ "0", "3", "PERSON", "Sondra R. Barber" ] } ], [ { "head": [ "132", "133", "GPE", "Dacula" ], "tail": [ "4", "6", "GPE", "Dacula GA" ] } ], [ { "head": [ "132", "133", "GPE", "Dacula" ], "tail": [ "13", "15", "GPE", "Dacula GA" ] } ], [ { "head": [ "132", "133", "GPE", "Dacula" ], "tail": [ "20", "23", "PERSON", "Sondra R. Barber" ] } ], [ { "head": [ "132", "133", "GPE", "Dacula" ], "tail": [ "24", "26", "ORG", "Professional Tax" ] } ], [ { "head": [ "132", "133", "GPE", "Dacula" ], "tail": [ "27", "30", "PERSON", "Sondra R. Barber" ] } ], [ { "head": [ "132", "133", "GPE", "Dacula" ], "tail": [ "38", "39", "GPE", "Dacula" ] } ], [ { "head": [ "132", "133", "GPE", "Dacula" ], "tail": [ "57", "58", "GPE", "Dacula" ] } ], [ { "head": [ "132", "133", "GPE", "Dacula" ], "tail": [ "58", "59", "GPE", "GA" ] } ], [ { "head": [ "132", "133", "GPE", "Dacula" ], "tail": [ "60", "63", "PERSON", "Sondra R. Barber" ] } ], [ { "head": [ "132", "133", "GPE", "Dacula" ], "tail": [ "70", "71", "ORG", "IRS" ] } ], [ { "head": [ "132", "133", "GPE", "Dacula" ], "tail": [ "76", "79", "PERSON", "Sondra R. Barber" ] } ], [ { "head": [ "132", "133", "GPE", "Dacula" ], "tail": [ "84", "85", "GPE", "Dacula" ] } ], [ { "head": [ "132", "133", "GPE", "Dacula" ], "tail": [ "85", "86", "GPE", "GA" ] } ], [ { "head": [ "132", "133", "GPE", "Dacula" ], "tail": [ "103", "105", "GPE", "Dacula GA" ] } ], [ { "head": [ "132", "133", "GPE", "Dacula" ], "tail": [ "107", "110", "PERSON", "Sondra R. Barber" ] } ], [ { "head": [ "132", "133", "GPE", "Dacula" ], "tail": [ "116", "118", "ORG", "Professional Tax" ] } ], [ { "head": [ "132", "133", "GPE", "Dacula" ], "tail": [ "120", "121", "GPE", "Dacula" ] } ], [ { "head": [ "132", "133", "GPE", "Dacula" ], "tail": [ "121", "122", "GPE", "GA" ] } ], [ { "head": [ "132", "133", "GPE", "Dacula" ], "tail": [ "123", "126", "PERSON", "Sondra R. Barber" ] } ], [ { "head": [ "132", "133", "GPE", "Dacula" ], "tail": [ "133", "134", "GPE", "GA" ] } ], [ { "head": [ "133", "134", "GPE", "GA" ], "tail": [ "0", "3", "PERSON", "Sondra R. Barber" ] } ], [ { "head": [ "133", "134", "GPE", "GA" ], "tail": [ "4", "6", "GPE", "Dacula GA" ] } ], [ { "head": [ "133", "134", "GPE", "GA" ], "tail": [ "13", "15", "GPE", "Dacula GA" ] } ], [ { "head": [ "133", "134", "GPE", "GA" ], "tail": [ "20", "23", "PERSON", "Sondra R. Barber" ] } ], [ { "head": [ "133", "134", "GPE", "GA" ], "tail": [ "24", "26", "ORG", "Professional Tax" ] } ], [ { "head": [ "133", "134", "GPE", "GA" ], "tail": [ "27", "30", "PERSON", "Sondra R. Barber" ] } ], [ { "head": [ "133", "134", "GPE", "GA" ], "tail": [ "38", "39", "GPE", "Dacula" ] } ], [ { "head": [ "133", "134", "GPE", "GA" ], "tail": [ "57", "58", "GPE", "Dacula" ] } ], [ { "head": [ "133", "134", "GPE", "GA" ], "tail": [ "58", "59", "GPE", "GA" ] } ], [ { "head": [ "133", "134", "GPE", "GA" ], "tail": [ "60", "63", "PERSON", "Sondra R. Barber" ] } ], [ { "head": [ "133", "134", "GPE", "GA" ], "tail": [ "70", "71", "ORG", "IRS" ] } ], [ { "head": [ "133", "134", "GPE", "GA" ], "tail": [ "76", "79", "PERSON", "Sondra R. 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[ " LOCATED_IN", " LOCATED_IN", " SELF", " OWNER", " SELF", " LOCATED_IN", " LOCATED_IN", " LOCATION", " SELF", " REGISTERED_FOR\n\n Explanation:\n The text states that S", " SELF", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " SAME_PERSON", " OWNER", " LOCATED_IN", " LOCATION_IN.", " SELF", " LOCATED_IN", " LOCATION_IN.", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_AT", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATION_IN.", " LOCATED_IN", " REGISTRATION", " LOCATED_IN", " LOCATED_IN", " LOCATION_IN.", " LOCATED_IN", " LOCATED_IN", " LOCATED_AT", " LOCATED_IN", " IN_REGION", " LOCATED_IN", " LOCATED_IN", " LOCATION_IN.", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_AT", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATION_IN.", " LOCATED_IN", " REGION_OF\n\n Explanation:\n The text mentions that S", " LOCATED_IN", " LOCATED_IN", " LOCATION_IN.", " LOCATED_IN", " LOCATED_IN", " LOCATED_AT", " LOCATED_IN", " IN_REGION", " LOCATED_IN", " LOCATED_IN", " IN_REGION", " SELF", " LOCATED_IN", " LOCATED_IN", " OWNER", " SELF", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " SELF", " REGISTERED_FOR\n\n Explanation:\n The text states that S", " SELF", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " SELF", " OWNER", " LOCATED_IN", " ASSISTS_IN\n\n Entities: \n [{'head': ['", " SELF", " LOCATED_IN", " ASSISTS_IN\n\n Explanation:\n The text states that S", " LOCATION_OF\n ORGANIZATION_OF\n TAX_", " LOCATED_IN", " LOCATED_IN", " LOCATION_OF\n ORGANIZATION_OF\n TAX_", " LOCATION_OF\n ORGANIZATION_OF\n TAX_", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATION_OF\n ORGANIZATION_OF\n TAX_", " REGISTRATION", " LOCATION_OF\n ORGANIZATION_OF\n TAX_", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATION_OF\n ORGANIZATION_OF\n TAX_", " SAME_ORGANIZATION", " LOCATED_IN", " LOCATED_IN", " LOCATION_AT.\n\n Explanation:\n The text states that", " LOCATED_IN", " LOCATED_IN", " SELF", " LOCATED_IN", " LOCATED_IN", " SELF", " WORKS_FOR", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " SELF", " REGISTERED_FOR\n\n Explanation:\n The text states that S", " SELF", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " SELF", " OWNER", " LOCATED_IN", " LOCATED_IN", " SELF", " LOCATED_IN", " ASSISTS_IN\n\n Explanation:\n The text states that S", " LOCATED_IN", " LOCATION_IN.", " LOCATION_IN.", " LOCATED_IN", " LOCATED_AT", " LOCATED_IN", " LOCATED_IN", " LOCATION_IN.", " LOCATED_IN", " REGISTRATION", " LOCATED_IN", " LOCATED_IN", " LOCATION_IN.", " LOCATED_IN", " LOCATED_IN", " LOCATED_AT", " LOCATED_IN", " LOCATION_IN.", " LOCATED_IN", " LOCATED_IN", " LOCATION_IN.", " LOCATED_IN", " LOCATION_IN.", " LOCATION_IN.", " LOCATED_IN", " LOCATED_AT", " LOCATED_IN", " LOCATED_IN", " LOCATION_IN.", " LOCATED_IN", " REGION_OF\n\n Explanation:\n The text mentions that S", " LOCATED_IN", " LOCATED_IN", " LOCATION_IN.", " LOCATED_IN", " LOCATED_IN", " LOCATED_AT", " LOCATED_IN", " LOCATION_IN.", " LOCATED_IN", " LOCATED_IN", " LOCATION_IN.", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_AT", " LOCATION_IN.", " LOCATED_IN", " LOCATED_IN", " LOCATION_OF\n or\n PERSON_IN_LOCATION\n ", " REGISTRATION", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_AT", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " SELF", " LOCATED_IN", " LOCATED_IN", " SELF", " OWNER", " SELF", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " REGISTERED_FOR\n\n Explanation:\n The text states that S", " SELF", " LOCATED_IN", " LOCATION_IN.", " LOCATED_IN", " SELF", " OWNER", " LOCATED_IN", " LOCATED_IN", " SELF", " LOCATED_IN", " LOCATED_IN", " REGISTERED_FOR\n\n Explanation:\n The text states that S", " REGION_OF\n\n Explanation:\n The text mentions that S", " REGION_OF\n\n Explanation:\n The text mentions that S", " REGISTERED_FOR\n\n Explanation:\n The text states that S", " REGISTERED_FOR\n\n Explanation:\n The text states that S", " REGISTERED_FOR\n\n Explanation:\n The text states that S", " REGION_OF\n\n Explanation:\n The text states that Sond", " REGION_OF\n\n Explanation:\n The text mentions that S", " REGION_OF\n\n Explanation:\n The text mentions that S", " REGISTERED_FOR\n\n Explanation:\n The text states that S", " REGISTERED_FOR\n\n Explanation:\n The text states that S", " REGION_OF\n\n Explanation:\n The text mentions that S", " REGION_OF\n\n Explanation:\n The text mentions that S", " REGION_OF\n\n Explanation:\n The text mentions that S", " REGISTERED_FOR\n\n Explanation:\n The text states that S", " REGISTERED_FOR\n\n Explanation:\n The text states that S", " REGION_IN.", " REGION_OF\n\n Explanation:\n The text mentions that S", " REGISTERED_FOR\n\n Explanation:\n The text states that S", " REGION_OF\n\n Explanation:\n The text mentions that S", " REGION_OF\n\n Explanation:\n The text mentions that S", " SELF", " LOCATED_IN", " LOCATED_IN", " SELF", " OWNER", " SELF", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " SELF", " REGISTERED_FOR\n\n Explanation:\n The text states that S", " LOCATED_IN", " LOCATION_IN.", " LOCATED_IN", " SELF", " OWNER", " LOCATED_IN", " LOCATED_IN", " SELF", " LOCATED_IN", " LOCATION_IN.", " LOCATED_IN", " LOCATION_IN.", " LOCATION_IN.", " LOCATED_IN", " LOCATED_AT", " LOCATED_IN", " LOCATED_IN", " LOCATION_IN.", " LOCATION_IN.", " LOCATED_IN", " REGISTRATION", " LOCATED_IN", " LOCATION_IN.", " LOCATION_IN.", " LOCATED_IN", " LOCATED_AT", " LOCATED_IN", " LOCATION_IN.", " LOCATED_IN", " LOCATED_IN", " LOCATION_IN.", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_AT", " LOCATED_IN", " LOCATION_IN.", " LOCATION_IN.", " LOCATION_IN.", " LOCATED_IN", " REGISTRATION", " LOCATED_IN", " LOCATION_IN.", " LOCATED_IN", " LOCATED_IN", " LOCATED_AT", " LOCATION_IN.", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_AT", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATION_IN.", " LOCATED_IN", " REGISTRATION", " LOCATED_IN", " LOCATED_IN", " LOCATION_IN.", " LOCATED_IN", " LOCATED_AT", " LOCATED_IN", " LOCATION_IN.", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " SELF", " LOCATED_IN", " LOCATED_IN", " SELF", " OWNER", " SELF", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " SELF", " REGISTERED_FOR\n\n Explanation:\n The text states that S", " SELF", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " OWNER", " LOCATED_IN", " ASSISTS_IN\n\n Explanation:\n Sondra R.", " SELF", " LOCATED_IN", " ASSISTS_IN\n\n Explanation:\n The text states that S", " LOCATION_OF\n ORGANIZATION_OF\n TAX_", " LOCATED_IN", " LOCATED_IN", " LOCATION_OF\n or\n ORGANIZATION_OF\n ", " SAME_ORGANIZATION", " LOCATION_OF\n ORGANIZATION_OF\n TAX_", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATION_OF\n or\n ORGANIZATION_OF\n ", " REGISTRATION", " LOCATION_OF\n ORGANIZATION_OF\n TAX_", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATION_OF\n OR:\n ORGANIZATION_OF\n", " LOCATED_IN", " LOCATED_IN", " LOCATION_OF\n or\n ORGANIZATION_OF\n ", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATION_IN.", " LOCATED_IN", " LOCATED_IN", " LOCATED_AT", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATION_IN.", " LOCATED_IN", " REGION_OF\n\n Explanation:\n The text mentions that S", " LOCATED_IN", " LOCATED_IN", " LOCATION_IN.", " LOCATED_IN", " LOCATED_IN", " LOCATED_AT", " LOCATION_IN.", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_AT", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " REGISTRATION", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_AT", " LOCATED_IN", " LOCATED_IN.", " LOCATED_IN", " LOCATED_IN", " SELF", " LOCATED_IN", " LOCATED_IN", " SELF", " OWNER", " SELF", " LOCATED_IN", " LOCATED_IN", " ASSISTS_IN\n\n Explanation:\n The text states that S", " SELF", " REGISTERED_FOR\n\n Explanation:\n The text states that S", " SELF", " LOCATED_IN", " LOCATION_IN.", " LOCATED_IN", " SELF", " OWNER", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " ASSISTS_IN\n\n Explanation:\n The text mentions that", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_AT", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATION_IN.", " LOCATED_IN", " REGISTRATION", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_AT", " LOCATED_IN", " LOCATION_IN.", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_AT", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " REGISTRATION", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_AT", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN" ]

[ [ "0", "3", "PERSON", "Sondra R. Barber" ], [ "4", "6", "GPE", "Dacula GA" ], [ "13", "15", "GPE", "Dacula GA" ], [ "20", "23", "PERSON", "Sondra R. Barber" ], [ "24", "26", "ORG", "Professional Tax" ], [ "27", "30", "PERSON", "Sondra R. Barber" ], [ "38", "39", "GPE", "Dacula" ], [ "57", "58", "GPE", "Dacula" ], [ "58", "59", "GPE", "GA" ], [ "60", "63", "PERSON", "Sondra R. Barber" ], [ "70", "71", "ORG", "IRS" ], [ "76", "79", "PERSON", "Sondra R. Barber" ], [ "84", "85", "GPE", "Dacula" ], [ "85", "86", "GPE", "GA" ], [ "103", "105", "GPE", "Dacula GA" ], [ "107", "110", "PERSON", "Sondra R. Barber" ], [ "116", "118", "ORG", "Professional Tax" ], [ "120", "121", "GPE", "Dacula" ], [ "121", "122", "GPE", "GA" ], [ "123", "126", "PERSON", "Sondra R. Barber" ], [ "132", "133", "GPE", "Dacula" ], [ "133", "134", "GPE", "GA" ] ]

[ "Join Global Links for their January Lunch + Learn with Jenna Baron, Executive Director and Founder of Alliance for Refugee Youth Support and Education (ARYSE).\nARYSE supports immigrant and refugee youth in becoming prepared, engaged and confident members of American society. Through individualized mentoring, out-of-school time programming and advocacy training, ARYSE helps refugee and immigrant youth to take their place as leaders within their community and our world.\nLearn more about ARYSE and Executive Director Jenna Baron and register here.\nGlobal Links’ Lunch + Learn series is a free monthly event featuring speakers on topics such as health, sustainability, and humanitarian issues. Lunch + Learn offers guests an informative lunch hour of education and engaging discussion. Presentations start at 12 PM and last about 1 hour. Light refreshments provided. The Global Links facility is handicap accessible. Bring your lunch and join the conversation!" ]

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[ " EVENT_STARTS_ON.", " SPEAKER", " HOSTS", " HOSTS", " HOSTS", " SUPPORTS", " HOSTS", " HOSTS", " SPEAKER", " ORG_HOSTS_EVENT\n\n Entities: \n [{'head", " HOSTS\n\n Entities: \n [{'head': ['1',", " HOSTS", " PROVIDES_EVENT_WITH_TIME_FRAME", " HOSTS_EVENT", " EVENT_DURATION", " ORG_HOSTS_EVENT\n\n Entities: \n [{'head", " HOSTS", " SPEAKER", " HOSTED_BY", " HOSTED_BY", " HOSTED_BY", " HOSTED_BY", " HOSTED_BY", " SPEAKER", " HOSTS", " EVENT_STARTS_ON.", " HOSTS", " SPEAKER", " EVENT_STARTS_ON\n\n Entities: \n [{'head':", " FOUNDER", " FOUNDER", " FOUNDER", " LEADS\n\n Explanation:\n Jenna Baron leads American society through", " FOUNDER", " FOUNDER", " SELF", " SPEAKER", " SPEAKS_AT", " SPEAKS_AT", " SPEAKS_AT", " SPEAKS_AT", " DURATION_OF\n\n Explanation:\n Jenna Baron is the", " SPEAKER", " ORGANIZES", " EVENT_STARTS_ON", " EXECUTIVE_DIRECTOR", " SAME_AS", " SAME_AS", " SUPPORTS", " SAME_AS", " SAME_AS", " FOUNDER", " ORGANIZES", " HAS_EVENT", " HOSTS", " EVENT_STARTS_AT_TIME", " EVENT_STARTS_AT", " DURATION_OF\n\n Explanation:\n The text states that \"", " ORGANIZES", " ORGANIZES", " EVENT_STARTS_ON.", " FOUNDER", " SAME_AS", " SELF_REFERENCE", " SUPPORTS", " SAME_ORGANIZATION", " SAME_ORGANIZATION", " FOUNDER", " ORGANIZES", " HAS_MONTHLY_EVENT", " HOSTS", " PROVIDES_EVENT_WITH_TIME", " HOSTS_EVENT", " EVENT_DURATION", " ORGANIZES", " HOSTS", " EVENT_STARTS_ON", " FOUNDER", " SAME_AS", " SAME_ORGANIZATION", " SUPPORTS", " SAME_ORGANIZATION", " SAME_ORGANIZATION", " FOUNDER", " ORGANIZES", " ORGANIZES", " HOSTS", " PROVIDES_EVENT_WITH_TIME", " HOSTS", " EVENT_HAS_DURATION", " HOSTS", " HOSTS", " FOUNDER_OF", " SUPPORTS", " SUPPORTS", " SUPPORTS", " SUPPORTS", " SUPPORTS", " FOUNDER_OF", " HOSTED_BY", " HOSTS", " HOSTS", " HOSTS", " EVENT_STARTS_ON", " FOUNDER", " SAME_AS", " SAME_ORGANIZATION", " SAME_ORGANIZATION", " SUPPORTS", " SAME_ORGANIZATION", " FOUNDER", " ORGANIZES", " ORGANIZES", " HOSTS", " HOSTS", " HOSTS", " EVENT_DURATION", " HOSTS", " HOSTED_BY", " EVENT_STARTS_ON.", " FOUNDER", " SAME_AS", " SAME_ORGANIZATION", " SAME_ORGANIZATION", " SUPPORTS", " SAME_ORGANIZATION", " FOUNDER", " ORGANIZES", " ORGANIZES", " HOSTS", " PROVIDES_EVENT_WITH_TIME", " HOSTS_EVENT", " EVENT_DURATION", " ORGANIZES", " SPEAKER", " EVENT_STARTS_ON", " SELF_REFERENCE", " FOUNDER", " FOUNDER", " FOUNDER", " HELPS\n\n Explanation:\n Jenna Baron, as the Executive", " FOUNDER", " FOUNDER", " ORGANIZES", " ORGANIZES", " SPEAKS_AT", " SPEAKS_AT", " SPEAKS_AT", " DURATION_OF\n\n Explanation:\n Jenna Baron is the", " SPEAKER", " ORG_HOSTS_EVENT\n\n Entities: \n [{'head", " EVENT_STARTS_ON.", " SPEAKER", " HOSTS", " HOSTS", " HOSTS", " SUPPORTS", " HOSTS", " HOSTS", " SPEAKER", " EVENT_HAS_FREQUENCY", " HOSTS", " PROVIDES_EVENT_FOR\n\n Explanation:\n The text describes Global", " HOSTS_EVENT", " DURATION", " ORG_IS_ORG", " ORGANIZES", " SPEAKER", " HOSTS", " HOSTS", " ORGANIZES", " HOSTS", " HOSTS", " SPEAKER", " ORGANIZES", " HOSTS", " HOSTS", " ORGANIZES", " TIME_OF_EVENT", " SPEAKER", " HOSTS", " HOSTS", " HOSTS", " PART_OF", " HOSTS", " HOSTS", " SPEAKER", " ORGANIZES", " OCCURS_MONTHLY", " TIME_OF_EVENT", " STARTS_AT", " DURATION", " HOSTS", " HOSTS", " SPEAKS_AT", " HOSTED_BY", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " SPEAKS_AT", " HOSTS", " TIME_OF_EVENT", " HOSTS", " HOSTS", " SPEAKER", " HOSTED_BY", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " SPEAKER", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " SPEAKER", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " HOSTS", " SPEAKER", " HOSTS", " HOSTS", " HOSTS", " ORG_HOSTS_EVENT\n\n Entities: \n [{'head", " EVENT_STARTS_ON.", " SPEAKER", " HOSTS", " HOSTS", " HOSTS", " SUPPORTS", " HOSTS", " HOSTS", " SPEAKER", " ORG_IS_ORG", " EVENT_HAS_FREQUENCY", " HOSTS", " PROVIDES_EVENT_WITH_TIMEFRAME", " STARTS_AT", " DURATION_OF\n\n Explanation:\n The text states that \"" ]

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[ "Timeline of Hezbollah Driven Drones Over Israel\nLate last week, the Israeli military claimed it shot down a drone several miles off the coast of Haifa. The Israeli government immediately suggested the drone belonged to Hezbollah although the militant group’s leader Hassan Nasrallah has since denied responsibility. The latter piece of information is interesting in light of their loudly voiced claims of success related to previous drone operations over Israel.\nThe transformation of capabilities is interesting to follow: from devices in 2006 considered to be “suicide UAVs” to reconnaissance drones to the alleged acquisition in late 2010 of Iranian-made long-range Karrar drones capable of long-rang attack missions. Watch for further developments as Iran introduced a radar evading drone in mid-April and claims it will announce a new long-range drone this month." ]

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[ " OWNER_OF\n\n Explanation:\n The text mentions that", " OCCURRED_BEFORE", " OWNER. This text implies that Hezbollah is the owner of the drone", " NEAR.", " NEAR_LOCATION", " OWNER. This text indicates that Hezbollah is the owner of the drone", " SAME_ORG", " DENIED_RESPONSIBILITY", " OWNER. This text indicates that Hezbollah is the owner of the drones", " USED_SUCH_THING_IN_THE_PAST", " ACQUIRED", " PROVIDES_TECHNOLOGY", " ACQUIRED_PRODUCT", " PROVIDES_TECHNOLOGY", " CLAIMED_TO_HAVE_NEW_TECHNOLOGY", " CLAIMS_TO_INTRODUCE", " OWNER. This text indicates that Hezbollah is the owner of the drone", " EVENT_PRECEDES", " COUNTRY_OF_ORIGIN", " NEAR.", " NEAR_LOCATION", " COUNTRY_OF_ORIGIN", " OWNER. This text suggests that Hezbollah is the owner of the drone", " DENIED_RESPONSIBILITY", " COLOCATED_WITH", " FROM_YEAR", " ACQUIRED_BY", " CLAIMS_TO_HAVE_ACQUIRED_FROM", " ALLEGED_FROM", " CLAIMS_TO_HAVE_ACQUIRED_FROM", " CLAIMED_EVENT_WITH_DATE", " CLAIMS_TO_ANNOUNCE", " OWNED_BY", " OCCURRED_IN", " NEAR_LOCATION", " OWNED_BY", " DENIED_RESPONSIBILITY", " OCCURRED_IN", " ALLEGED_FROM", " OWNER. This text suggests that Hezbollah is the owner of the drone", " COUNTRY_OF\n Or\n LOCATED_IN\n Or\n", " NEAR_LOCATION", " OWNER. This text indicates that Hezbollah is the owner of the drone", " DENIES_RESPONSIBILITY", " COUNTRY_OF\n Or\n LOCATED_IN\n Or\n", " CLAIM_OF_ORIGIN", " NEAR.", " NEAR.", " NEAR.", " NEAR.", " DENIES_RESPONSIBILITY", " NEAR.", " ALLEGED_FROM", " OWNER. This text implies that Hezbollah owns or controls the drone that", " LOCATION_NEARBY", " EVENT_PRECEDES", " LOCATION_NEAR.", " NEAR.", " LOCATION_NEAR.", " OWNER. This text implies that Hezbollah owns or controls the drone that", " DENIES_RESPONSIBILITY", " LOCATION_NEARBY", " LOCATION_BEFORE_TIME", " NEAR_LOCATION_IN_TIME", " CLAIMED_BY", " ALLEGED_FROM", " CLM_FROM_LOCATION_OF_ORIGIN_COUNTRY", " WATCH_FOR", " WATCH_FOR.", " OWNER. This text implies that Hezbollah is the owner of the drone", " COUNTRY_OF\n Or, if you prefer:\n COUNTRY_", " NEAR_LOCATION", " OWNER", " DENIES_RESPONSIBILITY", " COUNTRY_OF\n Or\n LOCATED_IN\n Or\n", " CLAIM_OF_ORIGIN", " SAME_ORG", " OWNER. This text indicates that Hezbollah is the owner of the drones", " OCCURRED_AT", " OWNER. This text indicates that Hezbollah is the owner of the drone", " NEAR.", " NEAR_LOCATION", " OWNER. This text indicates that Hezbollah is the owner of the drone", " DENIES_RESPONSIBILITY", " OWNER_OF\n OR:\n FLY_OVER", " FROM_YEARS_AGO", " ACQUIRED", " PROVIDES_TECHNOLOGY", " ACQUIRED", " ALLEGED_FROM", " CLAIMED_TO_HAVE_NEW_TECHNOLOGY", " CLAIMS_TO_INTRODUCE", " DENIES_RESPONSIBILITY", " DENIES_RESPONSIBILITY", " DENIES_EVENT", " DENIED_RESPONSIBILITY", " DISTANCE_FROM.", " DENIED_RESPONSIBILITY", " DENIED_RESPONSIBILITY", " DENIES_RESPONSIBILITY", " DENIED_RESPONSIBILITY", " SUCCESS_BEFORE\n\n Explanation:\n The text mentions that", " NO_RELATION", " CLAIMED_BY", " ALLEGED_FROM", " CLAIMED_BY", " CLAIMED_TO_ANNOUNCE", " CLAIMS_TO_INTEND_ANNOUNCEMENT", " OWNER. This text mentions that Hezbollah is suspected to own the dr", " COLOCATED_WITH", " EVENT_STARTED", " COUNTRY_OF_ORIGIN", " NEAR.", " NEAR_LOCATION", " COUNTRY_OF_ORIGIN", " OWNER. This text implies that Hezbollah is the owner of the drone", " DENIED_RESPONSIBILITY", " FROM_YEAR", " ACQUIRED_BY", " CLAIMS_TO_HAVE_ACQUIRED_FROM", " ALLEGED_FROM", " CLAIMS_TO_HAVE_ACQUIRED_FROM", " CLAIMED_EVENT_WITH_DATE", " CLAIMS_TO_ANNOUNCE", " USED_SUCH_THING_FOR\n or\n OWNED_", " OCCURRED_IN", " EVENT_LOCATION", " USED_SUCH_THING_FOR\n or\n OWNED\n", " NO_RELATION", " OCCURRED_IN", " FROM_COUNTRY_OF_ORIGIN", " ACQUIRED", " ACQUIRED_BY", " IN_AREA", " ACQUIRED", " NO_RELATION", " ACQUIRED_BY", " ACQUIRED_FROM", " ALLEGED_FROM", " CLAIMED_FROM", " CLAIMED_TO_HAVE_PROVIDED", " ALLEGED_FROM", " CLAIMED_BY", " CLAIMED_FROM", " CLAIMED_TO_HAVE_ORIGIN_FROM", " ACQUIRED_FROM", " OWNER_OF\n\n Explanation:\n The text mentions that", " FLEW_OVER", " ACQUIRED_FROM", " ALLEGED_FROM", " OWNER", " ACQUIRED_FROM", " ALLEGED_FROM", " CLAIMED_FROM", " CLAIMED_BY", " CLAIMED_BY", " CLAIMED_TO_HAVE_X_OF_Y\n or\n", " CLAIMED_FROM", " CLAIMED_BY", " ALLEGED_FROM", " CLAIMED_BY", " CLAIMED_FROM", " FROM_COUNTRY_OF_ORIGIN", " ACQUIRED_BY", " CLAIMED_TO_HAVE_PRODUCED", " ALLEGED_PRODUCER", " CLAIMED_TO_HAVE_NEW_TECHNOLOGY", " CLAIMS_TO_INTRODUCE", " CLAIMS_TO_HAVE.", " CLAIMED_TO_HAVE_NEW_LONG_RANGE_DRONE", " WATCH_FOR.", " CLAIMS_TO_HAVE_NEW_LONG_RANGE_DRONE", " WILL_ANNOUNCE", " CLAIMED_TO_HAVE_NEW_LONG_RANGE_DRONE", " CLAIMED_TO_HAVE_NEW_LONG_RANGE_DRONE", " CLAIMS_TO_HAVE_NEW_TECHNOLOGY", " CLAIMS_TO_HAVE_NEW_LONG_RANGE_DRONE", " WATCH_FOR.", " CLAIMS_TO_HAVE_NEW_TECHNOLOGY", " DENIES_RESPONSIBILITY", " CLAIMED_FOR_TERRITORY", " CLAIMS_TO_HAVE_NEW_LONG_RANGE_DRONE" ]

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[ "Would you like to listen to remanufacturing specialists?\nThat’s now possible! Rematec has produced a podcast, audio from a presentation during Rematec 2019. Listen to it while on your way to work, in the gym or from the comfort of your own home.\nEpisode 1: SKF on Bearing Remanufacturing\nHannes Leopoldseder of SKF, presents how bearing remanufacturing in wind turbines can reduce downtime, increase asset availability and reduce the levelised cost of electricity. This 30 minute presentation was held during Rematec, the world's leading trade event on automotive remanufacturing." ]

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[ " ORGANIZER", " PRODUCED_AT", " PRODUCED", " SPEAKER", " PRODUCED_BY", " PRODUCED_EVENT\n\n Explanation:\n The text states that", " ORGANIZER", " EVENT_IS_ORGANIZED_BY\n OR:\n EVENT_", " SPEAKER", " SPEAKER_AT.", " HOSTED_BY", " SPEAKER", " PRESENTED_AT", " PRODUCED_EVENT", " PRESENTED_BY", " PRESENTED_BY", " SPEAKER_AT\n or\n PRESENTED_AT\n or", " PRESENTED_AT", " PRESENTED_AT", " PRESENTED_BY", " PRESENTED_BY", " PRESENTED_DURATION", " PRESENTED_AT", " PRESENTED_AT", " PRESENTED_AT", " PRESENTED_AT", " PRESENTED_BY", " SPEAKER", " PRESENTED_DURATION", " PRESENTED_AT", " HOSTED_BY", " PRESENTED_BY", " PRESENTED_BY", " EVENT_IS_ORGANIZED_BY\n OR:\n EVENT_", " SPEAKER", " SPEAKER_AT." ]

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[ "- This event has passed.\nFree Artist Talk: Susan Connolly\nThursday 22nd February, 2018 - 20:00FREE\nSusan Connolly is a graduate of Limerick School of Art and Design, Degree in Fine Art-Painting. She holds an MFA from the University of Ulster and a first class honours MA, from NCAD, Dublin. Connolly is currently a PhD candidate at Ulster University having been awarded the VC Scholarship in 2014." ]

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[ "Another licensed game with a questionable pedigree, it's Doraemon! Arino will try and get this time travelling cat over the finish line and improve his overall record when it comes to challenging Hudson games.\nThe first Game Center CX DVD box set recently went on sale and so we have a special report from the launch event. Arino, Tojima, Sasano and Urakawa were all in attendance to sign autographs and receive some gifts from the more ardent fans.\nIt's another game store visit this week as Arino and Tojima visit Messe Sanoh CHAOS. Together they sample their large selection of import games including The Incredible Hulk: Ultimate Destruction and God Of War, which Arino takes a shine to.\nIt's a classic hit from Super Mario Bros. for this week's Secret Trick Jet Stream." ]

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"tail": [ "101", "104", "ORG", "Messe Sanoh CHAOS" ] } ], [ { "head": [ "99", "100", "PERSON", "Tojima" ], "tail": [ "115", "121", "WORK_OF_ART", "The Incredible Hulk: Ultimate Destruction" ] } ], [ { "head": [ "99", "100", "PERSON", "Tojima" ], "tail": [ "122", "125", "WORK_OF_ART", "God Of War" ] } ], [ { "head": [ "99", "100", "PERSON", "Tojima" ], "tail": [ "127", "128", "PERSON", "Arino" ] } ], [ { "head": [ "99", "100", "PERSON", "Tojima" ], "tail": [ "140", "143", "PRODUCT", "Super Mario Bros." ] } ], [ { "head": [ "99", "100", "PERSON", "Tojima" ], "tail": [ "145", "146", "DATE", "week" ] } ], [ { "head": [ "99", "100", "PERSON", "Tojima" ], "tail": [ "147", "151", "WORK_OF_ART", "Secret Trick Jet Stream" ] } ], [ { "head": [ "101", "104", "ORG", "Messe Sanoh CHAOS" ], "tail": [ "10", "11", "PRODUCT", "Doraemon" ] } ], [ { "head": [ "101", "104", "ORG", "Messe Sanoh CHAOS" ], "tail": [ "12", "13", "PERSON", "Arino" ] } ], [ { "head": [ "101", "104", "ORG", "Messe Sanoh CHAOS" ], "tail": [ "35", "36", "ORG", "Hudson" ] } ], [ { "head": [ "101", "104", "ORG", "Messe Sanoh CHAOS" ], "tail": [ "40", "41", "ORDINAL", "first" ] } ], [ { "head": [ "101", "104", "ORG", "Messe Sanoh CHAOS" ], "tail": [ "41", "45", "PRODUCT", "Game Center CX DVD" ] } ], [ { "head": [ "101", "104", "ORG", "Messe Sanoh CHAOS" ], "tail": [ "63", "64", "PERSON", "Arino" ] } ], [ { "head": [ "101", "104", "ORG", "Messe Sanoh CHAOS" ], "tail": [ "65", "66", "PERSON", "Tojima" ] } ], [ { "head": [ "101", "104", "ORG", "Messe Sanoh CHAOS" ], "tail": [ "67", "68", "PERSON", "Sasano" ] } ], [ { "head": [ "101", "104", "ORG", "Messe Sanoh CHAOS" ], "tail": [ "69", "70", "PERSON", "Urakawa" ] } ], [ { "head": [ "101", "104", "ORG", "Messe Sanoh CHAOS" ], "tail": [ "94", "96", "DATE", "this week" ] } ], [ { "head": [ "101", "104", "ORG", "Messe Sanoh CHAOS" ], "tail": [ "97", "98", "PERSON", "Arino" ] } ], [ { "head": [ "101", "104", "ORG", "Messe Sanoh CHAOS" ], "tail": [ "99", "100", "PERSON", 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"122", "125", "WORK_OF_ART", "God Of War" ], "tail": [ "101", "104", "ORG", "Messe Sanoh CHAOS" ] } ], [ { "head": [ "122", "125", "WORK_OF_ART", "God Of War" ], "tail": [ "127", "128", "PERSON", "Arino" ] } ], [ { "head": [ "127", "128", "PERSON", "Arino" ], "tail": [ "10", "11", "PRODUCT", "Doraemon" ] } ], [ { "head": [ "127", "128", "PERSON", "Arino" ], "tail": [ "12", "13", "PERSON", "Arino" ] } ], [ { "head": [ "127", "128", "PERSON", "Arino" ], "tail": [ "35", "36", "ORG", "Hudson" ] } ], [ { "head": [ "127", "128", "PERSON", "Arino" ], "tail": [ "40", "41", "ORDINAL", "first" ] } ], [ { "head": [ "127", "128", "PERSON", "Arino" ], "tail": [ "41", "45", "PRODUCT", "Game Center CX DVD" ] } ], [ { "head": [ "127", "128", "PERSON", "Arino" ], "tail": [ "63", "64", "PERSON", "Arino" ] } ], [ { "head": [ "127", "128", "PERSON", "Arino" ], "tail": [ "65", "66", "PERSON", "Tojima" ] } ], [ { "head": [ "127", "128", "PERSON", "Arino" ], "tail": [ "67", "68", "PERSON", "Sasano" ] } ], [ { "head": [ "127", "128", "PERSON", "Arino" ], "tail": [ "69", "70", "PERSON", "Urakawa" ] } ], [ { "head": [ "127", "128", "PERSON", "Arino" ], "tail": [ "94", "96", "DATE", "this week" ] } ], [ { "head": [ "127", "128", "PERSON", "Arino" ], "tail": [ "97", "98", "PERSON", "Arino" ] } ], [ { "head": [ "127", "128", "PERSON", "Arino" ], "tail": [ "99", "100", "PERSON", "Tojima" ] } ], [ { "head": [ "127", "128", "PERSON", "Arino" ], "tail": [ "101", "104", "ORG", "Messe Sanoh CHAOS" ] } ], [ { "head": [ "127", "128", "PERSON", "Arino" ], "tail": [ "115", "121", "WORK_OF_ART", "The Incredible Hulk: Ultimate Destruction" ] } ], [ { "head": [ "127", "128", "PERSON", "Arino" ], "tail": [ "122", "125", "WORK_OF_ART", "God Of War" ] } ], [ { "head": [ "127", "128", "PERSON", "Arino" ], "tail": [ "140", "143", "PRODUCT", "Super Mario Bros." ] } ], [ { "head": [ "127", "128", "PERSON", "Arino" ], "tail": [ "145", "146", "DATE", "week" ] } ], [ { "head": [ "127", "128", "PERSON", "Arino" ], "tail": [ "147", "151", "WORK_OF_ART", "Secret Trick Jet Stream" ] } ], [ { "head": [ "140", "143", "PRODUCT", "Super Mario Bros." ], "tail": [ "12", "13", "PERSON", "Arino" ] } ], [ { "head": [ "140", "143", "PRODUCT", "Super Mario Bros." ], "tail": [ "35", "36", "ORG", "Hudson" ] } ], [ { "head": [ "140", "143", "PRODUCT", "Super Mario Bros." ], "tail": [ "63", "64", "PERSON", "Arino" ] } ], [ { "head": [ "140", "143", "PRODUCT", "Super Mario Bros." ], "tail": [ "65", "66", "PERSON", "Tojima" ] } ], [ { "head": [ "140", "143", "PRODUCT", "Super Mario Bros." ], "tail": [ "67", "68", "PERSON", "Sasano" ] } ], [ { "head": [ "140", "143", "PRODUCT", "Super Mario Bros." ], "tail": [ "69", "70", "PERSON", "Urakawa" ] } ], [ { "head": [ "140", "143", "PRODUCT", "Super Mario Bros." ], "tail": [ "97", "98", "PERSON", "Arino" ] } ], [ { "head": [ "140", "143", "PRODUCT", "Super Mario Bros." ], "tail": [ "99", "100", "PERSON", "Tojima" ] } ], [ { "head": [ "140", "143", "PRODUCT", "Super Mario Bros." ], "tail": [ "101", "104", "ORG", "Messe Sanoh CHAOS" ] } ], [ { "head": [ "140", "143", "PRODUCT", "Super Mario Bros." ], "tail": [ "127", "128", "PERSON", "Arino" ] } ], [ { "head": [ "145", "146", "DATE", "week" ], "tail": [ "12", "13", "PERSON", "Arino" ] } ], [ { "head": [ "145", "146", "DATE", "week" ], "tail": [ "35", "36", "ORG", "Hudson" ] } ], [ { "head": [ "145", "146", "DATE", "week" ], "tail": [ "63", "64", "PERSON", "Arino" ] } ], [ { "head": [ "145", "146", "DATE", "week" ], "tail": [ "65", "66", "PERSON", "Tojima" ] } ], [ { "head": [ "145", "146", "DATE", "week" ], "tail": [ "67", "68", "PERSON", "Sasano" ] } ], [ { "head": [ "145", "146", "DATE", "week" ], "tail": [ "69", "70", "PERSON", "Urakawa" ] } ], [ { "head": [ "145", "146", "DATE", "week" ], "tail": [ "97", "98", "PERSON", "Arino" ] } ], [ { "head": [ "145", "146", "DATE", "week" ], "tail": [ "99", "100", "PERSON", "Tojima" ] } ], [ { "head": [ "145", "146", "DATE", "week" ], "tail": [ "101", "104", "ORG", "Messe Sanoh CHAOS" ] } ], [ { "head": [ "145", "146", "DATE", "week" ], "tail": [ "127", "128", "PERSON", "Arino" ] } ], [ { "head": [ "147", "151", "WORK_OF_ART", "Secret Trick Jet Stream" ], "tail": [ "12", "13", "PERSON", "Arino" ] } ], [ { "head": [ "147", "151", "WORK_OF_ART", "Secret Trick Jet Stream" ], "tail": [ "35", "36", "ORG", "Hudson" ] } ], [ { "head": [ "147", "151", "WORK_OF_ART", "Secret Trick Jet Stream" ], "tail": [ "63", "64", "PERSON", "Arino" ] } ], [ { "head": [ "147", "151", "WORK_OF_ART", "Secret Trick Jet Stream" ], "tail": [ "65", "66", "PERSON", "Tojima" ] } ], [ { "head": [ "147", "151", "WORK_OF_ART", "Secret Trick Jet Stream" ], "tail": [ "67", "68", "PERSON", "Sasano" ] } ], [ { "head": [ "147", "151", "WORK_OF_ART", "Secret Trick Jet Stream" ], "tail": [ "69", "70", "PERSON", "Urakawa" ] } ], [ { "head": [ "147", "151", "WORK_OF_ART", "Secret Trick Jet Stream" ], "tail": [ "97", "98", "PERSON", "Arino" ] } ], [ { "head": [ "147", "151", "WORK_OF_ART", "Secret Trick Jet Stream" ], "tail": [ "99", "100", "PERSON", "Tojima" ] } ], [ { "head": [ "147", "151", "WORK_OF_ART", "Secret Trick Jet Stream" ], "tail": [ "101", "104", "ORG", "Messe Sanoh CHAOS" ] } ], [ { "head": [ "147", "151", "WORK_OF_ART", "Secret Trick Jet Stream" ], "tail": [ "127", "128", "PERSON", "Arino" ] } ] ]

[ " TRIES_TO_IMPROVE\n\n Explanation:\n The text", " PUBLISHER", " PLAYS_GAME", " PLAYS_GAME", " SIGNED_BY", " SIGNED_BY", " TRIES_TO_IMPROVE\n\n Explanation:\n The text", " PLAYS_GAME", " SELLER_OF\n\n Explanation:\n The text mentions that", " PLAYS_GAME", " PLAYS_GAME", " CHALLENGES_COMPANY", " GOES_TO\n\n Explanation:\n Arino goes to the first", " ATTENDED", " SELF_REFERENCE", " VISITED_BY", " ATTENDED_EVENT_TOGETHER", " ATTENDED_BY", " OCCURS_IN_WEEK", " SAME_PERSON", " FRIEND", " VISITED_BY", " PLAYED_GAME", " TAKES_INTEREST_IN", " SELF_REFERENCE", " PLAYED_GAME", " VISITED_ON\n\n Explanation:\n Arino visited the", " PLAYED_GAME", " PUBLISHER", " CHALLENGES\n\n Explanation:\n The text states that \"", " GOES_ON_SALE", " PUBLISHER", " CHALLENGES_GAME\n OR:\n VISITS_STO", " VISITED_BY", " ATTENDED", " ATTENDED_EVENT", " PUBLISHED_IN_WEEK", " CHALLENGES_GAME\n OR:\n VISITS_STO", " VISITED_BY", " PUBLISHER_OF\n\n Explanation:\n The text ment", " PUBLISHER", " PUBLISHER", " CHALLENGES_GAME\n OR:\n VISITS_STO", " PUBLISHER", " VISITED_IN_WEEK", " PUBLISHER", " ATTENDED_EVENT", " GOES_ON_SALE", " ATTENDED_EVENT", " VISITED_BY", " ATTENDED_BY", " ATTENDED_BY", " ATTENDED_EVENT", " VISITED_BY", " VISITED_BY", " ATTENDED_EVENT", " SIGNED_BY", " PUBLISHER", " SIGNED_BY", " ATTENDED_EVENT", " ATTENDED_EVENT", " SIGNED_BY", " SIGNED_BY", " ATTENDED_EVENT", " SELLER_OF\n\n Explanation:\n The text mentions that", " SIGNED_BY", " PLAYS_GAME", " SELF_REFERENCE", " CHALLENGES_COMPANY", " GOES_TO\n\n Explanation:\n The text mentions that \"", " ATTENDED", " VISITED_BY", " ATTENDED_BY", " SIGNED_BY", " TIME_PERIOD_OF\n\n Entities: \n [{'head", " SELF_REFERENCE", " FRIEND", " VISITED_BY", " PLAYED_GAME", " TAKES_INTEREST_IN", " SELF_REFERENCE", " PLAYED_GAME", " VISITS\n\n Entities: \n [{'head': ['14", " PLAYED_GAME", " VISITED\n\n Explanation:\n The text mentions that To", " ACCOMPANIES", " VISITED_BY", " VISITED_AT\n\n Explanation:\n The text mentions", " VISITED", " ACCOMPANIES", " ATTENDED_BY", " ATTENDED_BY", " VISITED_ON\n\n Entities: \n [{'head':", " ACCOMPANIES", " SAME_PERSON", " VISITED_BY", " VISITED", " VISITED \n\n Explanation:\n The text describes Toj", " ACCOMPANIES", " PLAYED_GAME", " VISITED_ON", " PLAYED_GAME", " SIGNED_BY\n\n Explanation:\n The text mentions that", " SIGNED_BY", " ATTENDED_BY", " FIRST_OF\n\n Entities: \n [{'head': ['", " ATTENDED", " SIGNED_BY", " ATTENDED_BY", " ATTENDED_BY", " VISITED_ON\n\n Explanation:\n The text mentions", " SIGNED_BY", " ATTENDED_BY", " VENDOR", " SASANO_SIGNED_THE_INCREDIBLE_HULK", " SASANO_SIGNED_GOD_OF_WAR", " SIGNED_BY", " PLAYED_GAME", " VISITED_ON", " SIGNED_BY_ARTIST", " SIGNED_BY", " SIGNED_BY", " ATTENDED_BY", " FIRST_OF\n\n Entities: \n [{'head': ['", " SIGNED_FOR\n or\n APPEARED_AT\n\n ", " SIGNED_BY", " ATTENDED_BY", " ATTENDED_BY", " OCCURRED_IN_WEEK", " SIGNED_BY", " ATTENDED_BY", " VISITED_BY", " SIGNED_BY", " SIGNED_BY", " SIGNED_BY", " PLAYED_GAME", " WAS_AT\n\n Explanation:\n The context mentions that \"", " SIGNED_BY_ARTIST", " VISITS", " VISITED_BY", " VISITS", " VISITED_BY", " ATTENDED_EVENT", " ATTENDED_BY", " VISITS", " VISITED_BY", " VISITED_BY", " PLAYS_GAMES_WITH", " PLAYS_GAME", " SAME_PERSON", " CHALLENGES\n\n Explanation:\n Arino is challenging Hudson", " GOES_TO\n\n Explanation:\n The text mentions that \"", " ATTENDED", " SELF_REFERENCE", " FOLLOWED_BY", " ATTENDED_BY", " SIGNED_BY", " TIME_PERIOD_OF\n\n Entities: \n [{'head", " COLLEAGUE", " VISITED_BY", " PLAYED_GAME", " TAKES_INTEREST_IN", " SELF_REFERENCE", " PLAYED_GAME", " VISITED_ON\n\n Explanation:\n Arino visited the", " PLAYED_GAME", " VISITED_GAME", " ACCOMPANIES", " VISITED_BY", " VISITED_AT\n\n Explanation:\n The text mentions", " VISITED", " ACCOMPANIES", " SAME_PERSON", " ATTENDED_BY", " ATTENDED_BY", " VISITED_ON\n\n Explanation:\n The text mentions", " ACCOMPANIES", " VISITED_BY", " VISITED", " VISITED \n\n Explanation:\n The text mentions that", " ACCOMPANIES", " PLAYED_GAME", " VISITED_ON", " PLAYED_GAME", " VISITED_BY\n\n Explanation:\n The text mentions", " VISITED_BY", " SELLS\n\n Explanation:\n The text mentions that Arino", " VISITED_BY\n\n Explanation:\n The text mentions", " SELLS\n\n Explanation:\n The text mentions that Arino", " VISITED_BY", " VISITED_BY", " VISITED_BY", " VISITED_BY", " VISITED_BY\n OR:\n LOCATION_FOR\n\n", " VISITED_BY", " VISITED_BY", " SELLS\n\n Explanation:\n The text mentions that Arino", " SELLS\n\n Explanation:\n The text mentions that Arino", " VISITED_BY", " SELLS\n\n Explanation:\n The text mentions that Arino", " VISITED_BY\n\n Explanation:\n The entities represent different", " SELLS\n\n Explanation:\n In the context of the text,", " PLAYS_GAME", " PUBLISHER", " PLAYS_GAME", " PLAYS_GAME", " PLAYED_GAME_WITH", " SIGNED_BY", " PLAYS_GAME", " PLAYS_GAME", " SELLER_OF\n\n Explanation:\n The text mentions that", " PLAYS_GAME", " LIKES", " PUBLISHER", " LIKES", " PLAYED_BY", " SIGNED_BY", " MEETS", " LIKES", " PLAYED_BY", " SOLD_AT", " LIKES", " PLAYS_GAME", " SELF_REFERENCE", " CHALLENGES\n\n Explanation:\n Arino is challenging Hudson", " GOES_TO\n\n Explanation:\n Arino goes to the first", " ATTENDED", " SELF_REFERENCE", " FOLLOWED_BY", " ATTENDED_BY", " SIGNED_BY", " WEEK_OF\n\n Entities: \n [{'head': ['", " SAME_PERSON", " FRIEND", " VISITED_BY", " PLAYS_GAME", " TAKES_INTEREST_IN", " PLAYED_GAME", " VISITS\n\n Entities: \n [{'head': ['12", " PLAYED_GAME", " PLAYS_GAME", " PUBLISHER", " PLAYS_GAME", " PLAYED_BY", " ATTENDED_BY", " RECEIVED_GIFT", " PLAYS_GAME", " PLAYS_GAME", " SELLS\n\n Explanation:\n The text mentions that Arino", " PLAYS_GAME", " VISITS", " GOES_ON_SALE_AT", " VISITS", " VISITED_BY", " ATTENDED_EVENT", " ATTENDED_EVENT", " VISITS", " VISITED_BY", " VISITED_BY", " VISITED_BY\n\n Explanation:\n Arino visited the", " PLAYED_GAME", " PUBLISHER", " PLAYED_BY", " VISITED_BY", " MEETS\n\n Explanation:\n In the text, it is mentioned", " MEETS", " PLAYED_BY", " VISITED_BY", " SELLER_OF\n # This relation indicates that Messe Sanoh CHAOS", " PLAYED_BY" ]

[ [ "10", "11", "PRODUCT", "Doraemon" ], [ "12", "13", "PERSON", "Arino" ], [ "35", "36", "ORG", "Hudson" ], [ "40", "41", "ORDINAL", "first" ], [ "41", "45", "PRODUCT", "Game Center CX DVD" ], [ "63", "64", "PERSON", "Arino" ], [ "65", "66", "PERSON", "Tojima" ], [ "67", "68", "PERSON", "Sasano" ], [ "69", "70", "PERSON", "Urakawa" ], [ "94", "96", "DATE", "this week" ], [ "97", "98", "PERSON", "Arino" ], [ "99", "100", "PERSON", "Tojima" ], [ "101", "104", "ORG", "Messe Sanoh CHAOS" ], [ "115", "121", "WORK_OF_ART", "The Incredible Hulk: Ultimate Destruction" ], [ "122", "125", "WORK_OF_ART", "God Of War" ], [ "127", "128", "PERSON", "Arino" ], [ "140", "143", "PRODUCT", "Super Mario Bros." ], [ "145", "146", "DATE", "week" ], [ "147", "151", "WORK_OF_ART", "Secret Trick Jet Stream" ] ]

[ "Living Our Faith\nOur entire school staff kicked off the year with a mini field trip to see the\nnewly installed troll at Sakai Park. Pia the Peacekeeper was designed by\nDanish artist Thomas Dambo, created entirely out of recycled wood.\nAs we walked together on a gorgeous sunny morning and reconnected, there\nwas a feeling of great joy. We have deep respect and care for one another.\nSharing a mission is a real connector!\nLater that day, teachers and I met to plan and prepare for the opening of\nschool. As always, our first act was to develop NORMS to guide our work. We\ncommitted to the following:\n1. ASSUME BEST INTENTIONS\n2. BE ENGAGED\n3. HAVE FUN\nIn short, we live our faith, every single day." ]

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[ " IS_A\n\n Explanation:\n The text describes the staff's", " CREATED_BY", " SEE_INSTALLATION", " DESIGNED_BY", " LOCATED_AT", " DESIGNED_BY", " CREATED_BY", " DESIGNED_BY", " LOCATED_AT", " DESIGNED_BY", " DESIGNED_BY", " EVENT_AFTER", " DESIGNED_BY", " DESIGNED_BY", " DESIGNED_BY", " DESIGNED_BY", " DESIGNED_BY", " DESIGNED_BY", " CREATED_BY", " DESIGNED_BY", " CREATED_BY", " DESIGNED_BY", " CREATED_BY", " CREATED_AFTER", " DESIGNED_BY", " DESIGNED_BY", " DESIGNED_BY", " DESIGNED_BY", " DESCRIBED_BY", " CREATED_BY", " DESIGNED_BY", " CREATED_BY", " DESIGNED_BY", " DESIGNED_BY", " DESIGNED_BY", " DESIGNED_BY", " DESIGNED_BY", " DESIGNED_BY" ]

[ [ "0", "3", "WORK_OF_ART", "Living Our Faith" ], [ "10", "12", "DATE", "the year" ], [ "25", "27", "FAC", "Sakai Park" ], [ "28", "31", "PERSON", "Pia the Peacekeeper" ], [ "35", "36", "NORP", "Danish" ], [ "37", "39", "PERSON", "Thomas Dambo" ], [ "89", "92", "TIME", "Later that day" ], [ "112", "113", "ORDINAL", "first" ], [ "131", "132", "CARDINAL", "1" ], [ "137", "138", "CARDINAL", "2" ], [ "142", "143", "CARDINAL", "3" ] ]

[ "You want your vehicle or trailer restored to it’s former glory? The first step is removing the debris that has built up over years.\nWe have easily accessible, secure premises in Albany, North Shore where we sand blast vehicles and anything that can come to us.\nFrom vehicle chassis, wheel rims, horse floats, vintage vehicles and trailers or anything else you can imagine.\nWe are happy to lend you our expertise.\n“Look no further than this family owned business - they are excellent. As a self-employed funeral di...”\n— Martha-Louise Asmus (ML) (9 months ago)" ]

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[ [ { "head": [ "14", "15", "ORDINAL", "first" ], "tail": [ "36", "37", "GPE", "Albany" ] } ], [ { "head": [ "14", "15", "ORDINAL", "first" ], "tail": [ "38", "40", "LOC", "North Shore" ] } ], [ { "head": [ "14", "15", "ORDINAL", "first" ], "tail": [ "111", "115", "PERSON", "Martha-Louise Asmus" ] } ], [ { "head": [ "25", "26", "DATE", "years" ], "tail": [ "36", "37", "GPE", "Albany" ] } ], [ { "head": [ "25", "26", "DATE", "years" ], "tail": [ "38", "40", "LOC", "North Shore" ] } ], [ { "head": [ "25", "26", "DATE", "years" ], "tail": [ "111", "115", "PERSON", "Martha-Louise Asmus" ] } ], [ { "head": [ "36", "37", "GPE", "Albany" ], "tail": [ "14", "15", "ORDINAL", "first" ] } ], [ { "head": [ "36", "37", "GPE", "Albany" ], "tail": [ "25", "26", "DATE", "years" ] } ], [ { "head": [ "36", "37", "GPE", "Albany" ], "tail": [ "38", "40", "LOC", "North Shore" ] } ], [ { "head": [ "36", "37", "GPE", "Albany" ], "tail": [ "111", "115", "PERSON", "Martha-Louise Asmus" ] } ], [ { "head": [ "36", "37", "GPE", "Albany" ], "tail": [ "119", "122", "DATE", "9 months ago" ] } ], [ { "head": [ "38", "40", "LOC", "North Shore" ], "tail": [ "14", "15", "ORDINAL", "first" ] } ], [ { "head": [ "38", "40", "LOC", "North Shore" ], "tail": [ "25", "26", "DATE", "years" ] } ], [ { "head": [ "38", "40", "LOC", "North Shore" ], "tail": [ "36", "37", "GPE", "Albany" ] } ], [ { "head": [ "38", "40", "LOC", "North Shore" ], "tail": [ "111", "115", "PERSON", "Martha-Louise Asmus" ] } ], [ { "head": [ "38", "40", "LOC", "North Shore" ], "tail": [ "119", "122", "DATE", "9 months ago" ] } ], [ { "head": [ "111", "115", "PERSON", "Martha-Louise Asmus" ], "tail": [ "14", "15", "ORDINAL", "first" ] } ], [ { "head": [ "111", "115", "PERSON", "Martha-Louise Asmus" ], "tail": [ "25", "26", "DATE", "years" ] } ], [ { "head": [ "111", "115", "PERSON", "Martha-Louise Asmus" ], "tail": [ "36", "37", "GPE", "Albany" ] } ], [ { "head": [ "111", "115", "PERSON", "Martha-Louise Asmus" ], "tail": [ "38", "40", "LOC", "North Shore" ] } ], [ { "head": [ "111", "115", "PERSON", "Martha-Louise Asmus" ], "tail": [ "119", "122", "DATE", "9 months ago" ] } ], [ { "head": [ "119", "122", "DATE", "9 months ago" ], "tail": [ "36", "37", "GPE", "Albany" ] } ], [ { "head": [ "119", "122", "DATE", "9 months ago" ], "tail": [ "38", "40", "LOC", "North Shore" ] } ], [ { "head": [ "119", "122", "DATE", "9 months ago" ], "tail": [ "111", "115", "PERSON", "Martha-Louise Asmus" ] } ] ]

[ " LOCATION_OF\n OR LOCATED_AT (Both are valid for", " LOCATION_NEAR.", " RECOMMENDED_BY", " LOCATION_OF\n OR\n CAUSE_OF\n OR\n ", " LOCATION_NEARBY", " RECOMMENDED_BY", " LOCATION_OF\n\n Explanation:\n The text states that the", " LOCATION_NEAR\n\n Explanation:\n The text mentions", " LOCATION_NEARBY", " LOCATED_AT", " LOCATION_NEARBY", " LOCATION_NEARBY", " LOCATION_NEARBY", " LOCATION_NEARBY", " LOCATED_AT", " LOCATION_OF\n OR\n RECOMMENDATION\n OR\n ", " RECOMMENDS", " PAST_EVENT\n\n Explanation:\n Martha-Louise Asmus", " LOCATED_IN", " LOCATION_OF\n # This relation indicates that Martha-Louise Asmus is", " REVIEWER_OF\n OR\n WROTE_REVIEW_ON", " LOCATED_AT", " LOCATION_OF\n or\n SERVICES_AT (since the text", " REVIEWER_OF\n or\n NO_RELATION (if 'M" ]

[ [ "14", "15", "ORDINAL", "first" ], [ "25", "26", "DATE", "years" ], [ "36", "37", "GPE", "Albany" ], [ "38", "40", "LOC", "North Shore" ], [ "111", "115", "PERSON", "Martha-Louise Asmus" ], [ "119", "122", "DATE", "9 months ago" ] ]

[ "MISSOULA – New Montana men’s basketball coach Travis DeCuire has selected his assistant coaches and named former Washington State head coach Ken Bone as his associate head coach.\nDeCuire said as a first-time head coach it’s important for him to have an assistant with experience in big, pressure games.\nBone was fired by WSU in March after the fifth year of his seven-year contract. School officials said he would still receive the $1.7 million he was owed for the remaining two years.\nAssistant Jono Metzger-Jones is remaining at UM. Former Chico State assistant Chris Cobb is joining UM’s staff while Marlon Stewart has been named the director of basketball operations." ]

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[ [ { "head": [ "0", "1", "GPE", "MISSOULA" ], "tail": [ "3", "4", "GPE", "Montana" ] } ], [ { "head": [ "0", "1", "GPE", "MISSOULA" ], "tail": [ "8", "10", "PERSON", "Travis DeCuire" ] } ], [ { "head": [ "0", "1", "GPE", "MISSOULA" ], "tail": [ "18", "20", "ORG", "Washington State" ] } ], [ { "head": [ "0", "1", "GPE", "MISSOULA" ], "tail": [ "22", "24", "PERSON", "Ken Bone" ] } ], [ { "head": [ "0", "1", "GPE", "MISSOULA" ], "tail": [ "31", "32", "PERSON", "DeCuire" ] } ], [ { "head": [ "0", "1", "GPE", "MISSOULA" ], "tail": [ "58", "59", "PERSON", "Bone" ] } ], [ { "head": [ "0", "1", "GPE", "MISSOULA" ], "tail": [ "62", "63", "ORG", "WSU" ] } ], [ { "head": [ "0", "1", "GPE", "MISSOULA" ], "tail": [ "64", "65", "DATE", "March" ] } ], [ { "head": [ "0", "1", "GPE", "MISSOULA" ], "tail": [ "66", "69", "DATE", "the fifth year" ] } ], [ { "head": [ "0", "1", "GPE", "MISSOULA" ], "tail": [ "71", "74", "DATE", "seven-year" ] } ], [ { "head": [ "0", "1", "GPE", "MISSOULA" ], "tail": [ "84", "87", "MONEY", "$1.7 million" ] } ], [ { "head": [ "0", "1", "GPE", "MISSOULA" ], "tail": [ "91", "95", "DATE", "the remaining two years" ] } ], [ { "head": [ "0", "1", "GPE", "MISSOULA" ], "tail": [ "98", "102", "PERSON", "Jono Metzger-Jones" ] } ], [ { "head": [ "0", "1", "GPE", "MISSOULA" ], "tail": [ "105", "106", "ORG", "UM" ] } ], [ { "head": [ "0", "1", "GPE", "MISSOULA" ], "tail": [ "108", "110", "ORG", "Chico State" ] } ], [ { "head": [ "0", "1", "GPE", "MISSOULA" ], "tail": [ "111", "113", "PERSON", "Chris Cobb" ] } ], [ { "head": [ "0", "1", "GPE", "MISSOULA" ], "tail": [ "115", "116", "ORG", "UM" ] } ], [ { "head": [ "0", "1", "GPE", "MISSOULA" ], "tail": [ "119", "121", "PERSON", "Marlon Stewart" ] } ], [ { "head": [ "3", "4", "GPE", "Montana" ], "tail": [ "0", "1", "GPE", "MISSOULA" ] } ], [ { "head": [ "3", "4", "GPE", "Montana" ], "tail": [ "8", "10", "PERSON", "Travis DeCuire" ] } ], [ { "head": [ "3", "4", "GPE", "Montana" ], "tail": [ "18", "20", "ORG", 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"GPE", "MISSOULA" ] } ], [ { "head": [ "91", "95", "DATE", "the remaining two years" ], "tail": [ "3", "4", "GPE", "Montana" ] } ], [ { "head": [ "91", "95", "DATE", "the remaining two years" ], "tail": [ "8", "10", "PERSON", "Travis DeCuire" ] } ], [ { "head": [ "91", "95", "DATE", "the remaining two years" ], "tail": [ "18", "20", "ORG", "Washington State" ] } ], [ { "head": [ "91", "95", "DATE", "the remaining two years" ], "tail": [ "22", "24", "PERSON", "Ken Bone" ] } ], [ { "head": [ "91", "95", "DATE", "the remaining two years" ], "tail": [ "31", "32", "PERSON", "DeCuire" ] } ], [ { "head": [ "91", "95", "DATE", "the remaining two years" ], "tail": [ "58", "59", "PERSON", "Bone" ] } ], [ { "head": [ "91", "95", "DATE", "the remaining two years" ], "tail": [ "62", "63", "ORG", "WSU" ] } ], [ { "head": [ "91", "95", "DATE", "the remaining two years" ], "tail": [ "98", "102", "PERSON", "Jono Metzger-Jones" ] } ], [ { "head": [ "91", "95", "DATE", "the remaining two years" ], "tail": [ "105", "106", "ORG", "UM" ] } ], [ { "head": [ "91", "95", "DATE", "the remaining two years" ], "tail": [ "108", "110", "ORG", "Chico State" ] } ], [ { "head": [ "91", "95", "DATE", "the remaining two years" ], "tail": [ "111", "113", "PERSON", "Chris Cobb" ] } ], [ { "head": [ "91", "95", "DATE", "the remaining two years" ], "tail": [ "115", "116", "ORG", "UM" ] } ], [ { "head": [ "91", "95", "DATE", "the remaining two years" ], "tail": [ "119", "121", "PERSON", "Marlon Stewart" ] } ], [ { "head": [ "98", "102", "PERSON", "Jono Metzger-Jones" ], "tail": [ "0", "1", "GPE", "MISSOULA" ] } ], [ { "head": [ "98", "102", "PERSON", "Jono Metzger-Jones" ], "tail": [ "3", "4", "GPE", "Montana" ] } ], [ { "head": [ "98", "102", "PERSON", "Jono Metzger-Jones" ], "tail": [ "8", "10", "PERSON", "Travis DeCuire" ] } ], [ { "head": [ "98", "102", "PERSON", "Jono Metzger-Jones" ], "tail": [ "18", "20", "ORG", "Washington State" ] } ], [ { "head": [ "98", "102", "PERSON", "Jono Metzger-Jones" ], "tail": [ "22", "24", "PERSON", "Ken Bone" ] } ], [ { "head": [ "98", "102", "PERSON", "Jono Metzger-Jones" ], "tail": [ "31", "32", "PERSON", "DeCuire" ] } ], [ { "head": [ "98", "102", "PERSON", "Jono Metzger-Jones" ], "tail": [ "58", "59", "PERSON", "Bone" ] } ], [ { "head": [ "98", "102", "PERSON", "Jono Metzger-Jones" ], "tail": [ "62", "63", "ORG", "WSU" ] } ], [ { "head": [ "98", "102", "PERSON", "Jono Metzger-Jones" ], "tail": [ "64", "65", "DATE", "March" ] } ], [ { "head": [ "98", "102", "PERSON", "Jono Metzger-Jones" ], "tail": [ "66", "69", "DATE", "the fifth year" ] } ], [ { "head": [ "98", "102", "PERSON", "Jono Metzger-Jones" ], "tail": [ "71", "74", "DATE", "seven-year" ] } ], [ { "head": [ "98", "102", "PERSON", "Jono Metzger-Jones" ], "tail": [ "84", "87", "MONEY", "$1.7 million" ] } ], [ { "head": [ "98", "102", "PERSON", "Jono Metzger-Jones" ], "tail": [ "91", "95", "DATE", "the remaining two years" ] } ], [ { "head": [ "98", "102", "PERSON", "Jono Metzger-Jones" ], "tail": [ "105", "106", "ORG", "UM" ] } ], [ { "head": [ "98", "102", "PERSON", "Jono Metzger-Jones" ], "tail": [ "108", "110", "ORG", "Chico State" ] } ], [ { "head": [ "98", "102", "PERSON", "Jono Metzger-Jones" ], "tail": [ "111", "113", "PERSON", "Chris Cobb" ] } ], [ { "head": [ "98", "102", "PERSON", "Jono Metzger-Jones" ], "tail": [ "115", "116", "ORG", "UM" ] } ], [ { "head": [ "98", "102", "PERSON", "Jono Metzger-Jones" ], "tail": [ "119", "121", "PERSON", "Marlon Stewart" ] } ], [ { "head": [ "105", "106", "ORG", "UM" ], "tail": [ "0", "1", "GPE", "MISSOULA" ] } ], [ { "head": [ "105", "106", "ORG", "UM" ], "tail": [ "3", "4", "GPE", "Montana" ] } ], [ { "head": [ "105", "106", "ORG", "UM" ], "tail": [ "8", "10", "PERSON", "Travis DeCuire" ] } ], [ { "head": [ "105", "106", "ORG", "UM" ], "tail": [ "18", "20", "ORG", "Washington State" ] } ], [ { "head": [ "105", "106", "ORG", "UM" ], "tail": [ "22", "24", "PERSON", "Ken Bone" ] } ], [ { "head": [ "105", "106", "ORG", "UM" ], "tail": [ "31", "32", "PERSON", "DeCuire" ] } ], [ { "head": [ "105", "106", "ORG", "UM" ], "tail": [ "58", "59", "PERSON", "Bone" ] } ], [ { "head": [ "105", "106", "ORG", "UM" ], "tail": [ "62", "63", "ORG", "WSU" ] } ], [ { "head": [ "105", "106", "ORG", "UM" ], "tail": [ "64", "65", "DATE", "March" ] } ], [ { "head": [ "105", "106", "ORG", "UM" ], "tail": [ "66", "69", "DATE", "the fifth year" ] } ], [ { "head": [ "105", "106", "ORG", "UM" ], "tail": [ "71", "74", "DATE", "seven-year" ] } ], [ { "head": [ "105", "106", "ORG", "UM" ], "tail": [ "84", "87", "MONEY", "$1.7 million" ] } ], [ { "head": [ "105", "106", "ORG", "UM" ], "tail": [ "91", "95", "DATE", "the remaining two years" ] } ], [ { "head": [ "105", "106", "ORG", "UM" ], "tail": [ "98", "102", "PERSON", "Jono Metzger-Jones" ] } ], [ { "head": [ "105", "106", "ORG", "UM" ], "tail": [ "108", "110", "ORG", "Chico State" ] } ], [ { "head": [ "105", "106", "ORG", "UM" ], "tail": [ "111", "113", "PERSON", "Chris Cobb" ] } ], [ { "head": [ "105", "106", "ORG", "UM" ], "tail": [ "115", "116", "ORG", "UM" ] } ], [ { "head": [ "105", "106", "ORG", "UM" ], "tail": [ "119", "121", "PERSON", "Marlon Stewart" ] } ], [ { "head": [ "108", "110", "ORG", "Chico State" ], "tail": [ "0", "1", "GPE", "MISSOULA" ] } ], [ { "head": [ "108", "110", "ORG", "Chico State" ], "tail": [ "3", "4", "GPE", "Montana" ] } ], [ { "head": [ "108", "110", "ORG", "Chico State" ], "tail": [ "8", "10", "PERSON", "Travis DeCuire" ] } ], [ { "head": [ "108", "110", "ORG", "Chico State" ], "tail": [ "18", "20", "ORG", "Washington State" ] } ], [ { "head": [ "108", "110", "ORG", "Chico State" ], "tail": [ "22", "24", "PERSON", "Ken Bone" ] } ], [ { "head": [ "108", "110", "ORG", "Chico State" ], "tail": [ "31", "32", "PERSON", "DeCuire" ] } ], [ { "head": [ "108", "110", "ORG", "Chico State" ], "tail": [ "58", "59", "PERSON", "Bone" ] } ], [ { "head": [ "108", "110", "ORG", "Chico State" ], "tail": [ "62", "63", "ORG", "WSU" ] } ], [ { "head": [ "108", "110", "ORG", "Chico State" ], "tail": [ "64", "65", "DATE", "March" ] } ], [ { "head": [ "108", "110", "ORG", "Chico State" ], "tail": [ "66", "69", "DATE", "the fifth year" ] } ], [ { "head": [ "108", "110", "ORG", "Chico State" ], "tail": [ "71", "74", "DATE", "seven-year" ] } ], [ { "head": [ "108", "110", "ORG", "Chico State" ], "tail": [ "84", "87", "MONEY", "$1.7 million" ] } ], [ { "head": [ "108", "110", "ORG", "Chico State" ], "tail": [ "91", "95", "DATE", "the remaining two years" ] } ], [ { "head": [ "108", "110", "ORG", "Chico State" ], "tail": [ "98", "102", "PERSON", "Jono Metzger-Jones" ] } ], [ { "head": [ "108", "110", "ORG", "Chico State" ], "tail": [ "105", "106", "ORG", "UM" ] } ], [ { "head": [ "108", "110", "ORG", "Chico State" ], "tail": [ "111", "113", "PERSON", "Chris Cobb" ] } ], [ { "head": [ "108", "110", "ORG", "Chico State" ], "tail": [ "115", "116", "ORG", "UM" ] } ], [ { "head": [ "108", "110", "ORG", "Chico State" ], "tail": [ "119", "121", "PERSON", "Marlon Stewart" ] } ], [ { "head": [ "111", "113", "PERSON", "Chris Cobb" ], "tail": [ "0", "1", "GPE", "MISSOULA" ] } ], [ { "head": [ "111", "113", "PERSON", "Chris Cobb" ], "tail": [ "3", "4", "GPE", "Montana" ] } ], [ { "head": [ "111", "113", "PERSON", "Chris Cobb" ], "tail": [ "8", "10", "PERSON", "Travis DeCuire" ] } ], [ { "head": [ "111", "113", "PERSON", "Chris Cobb" ], "tail": [ "18", "20", "ORG", "Washington State" ] } ], [ { "head": [ "111", "113", "PERSON", "Chris Cobb" ], "tail": [ "22", "24", "PERSON", "Ken Bone" ] } ], [ { "head": [ "111", "113", "PERSON", "Chris Cobb" ], "tail": [ "31", "32", "PERSON", "DeCuire" ] } ], [ { "head": [ "111", "113", "PERSON", "Chris Cobb" ], "tail": [ "58", "59", "PERSON", "Bone" ] } ], [ { "head": [ "111", "113", "PERSON", "Chris Cobb" ], "tail": [ "62", "63", "ORG", "WSU" ] } ], [ { "head": [ "111", "113", "PERSON", "Chris Cobb" ], "tail": [ "64", "65", "DATE", "March" ] } ], [ { "head": [ "111", "113", "PERSON", "Chris Cobb" ], "tail": [ "66", "69", "DATE", "the fifth year" ] } ], [ { "head": [ "111", "113", "PERSON", "Chris Cobb" ], "tail": [ "71", "74", "DATE", "seven-year" ] } ], [ { "head": [ "111", "113", "PERSON", "Chris Cobb" ], "tail": [ "84", "87", "MONEY", "$1.7 million" ] } ], [ { "head": [ "111", "113", "PERSON", "Chris Cobb" ], "tail": [ "91", "95", "DATE", "the remaining two years" ] } ], [ { "head": [ "111", "113", "PERSON", "Chris Cobb" ], "tail": [ "98", "102", "PERSON", "Jono Metzger-Jones" ] } ], [ { "head": [ "111", "113", "PERSON", "Chris Cobb" ], "tail": [ "105", "106", "ORG", "UM" ] } ], [ { "head": [ "111", "113", "PERSON", "Chris Cobb" ], "tail": [ "108", "110", "ORG", "Chico State" ] } ], [ { "head": [ "111", "113", "PERSON", "Chris Cobb" ], "tail": [ "115", "116", "ORG", "UM" ] } ], [ { "head": [ "111", "113", "PERSON", "Chris Cobb" ], "tail": [ "119", "121", "PERSON", "Marlon Stewart" ] } ], [ { "head": [ "115", "116", "ORG", "UM" ], "tail": [ "0", "1", "GPE", "MISSOULA" ] } ], [ { "head": [ "115", "116", "ORG", "UM" ], "tail": [ "3", "4", "GPE", "Montana" ] } ], [ { "head": [ "115", "116", "ORG", "UM" ], "tail": [ "8", "10", "PERSON", "Travis DeCuire" ] } ], [ { "head": [ "115", "116", "ORG", "UM" ], "tail": [ "18", "20", "ORG", "Washington State" ] } ], [ { "head": [ "115", "116", "ORG", "UM" ], "tail": [ "22", "24", "PERSON", "Ken Bone" ] } ], [ { "head": [ "115", "116", "ORG", "UM" ], "tail": [ "31", "32", "PERSON", "DeCuire" ] } ], [ { "head": [ "115", "116", "ORG", "UM" ], "tail": [ "58", "59", "PERSON", "Bone" ] } ], [ { "head": [ "115", "116", "ORG", "UM" ], "tail": [ "62", "63", "ORG", "WSU" ] } ], [ { "head": [ "115", "116", "ORG", "UM" ], "tail": [ "64", "65", "DATE", "March" ] } ], [ { "head": [ "115", "116", "ORG", "UM" ], "tail": [ "66", "69", "DATE", "the fifth year" ] } ], [ { "head": [ "115", "116", "ORG", "UM" ], "tail": [ "71", "74", "DATE", "seven-year" ] } ], [ { "head": [ "115", "116", "ORG", "UM" ], "tail": [ "84", "87", "MONEY", "$1.7 million" ] } ], [ { "head": [ "115", "116", "ORG", "UM" ], "tail": [ "91", "95", "DATE", "the remaining two years" ] } ], [ { "head": [ "115", "116", "ORG", "UM" ], "tail": [ "98", "102", "PERSON", "Jono Metzger-Jones" ] } ], [ { "head": [ "115", "116", "ORG", "UM" ], "tail": [ "105", "106", "ORG", "UM" ] } ], [ { "head": [ "115", "116", "ORG", "UM" ], "tail": [ "108", "110", "ORG", "Chico State" ] } ], [ { "head": [ "115", "116", "ORG", "UM" ], "tail": [ "111", "113", "PERSON", "Chris Cobb" ] } ], [ { "head": [ "115", "116", "ORG", "UM" ], "tail": [ "119", "121", "PERSON", "Marlon Stewart" ] } ], [ { "head": [ "119", "121", "PERSON", "Marlon Stewart" ], "tail": [ "0", "1", "GPE", "MISSOULA" ] } ], [ { "head": [ "119", "121", "PERSON", "Marlon Stewart" ], "tail": [ "3", "4", "GPE", "Montana" ] } ], [ { "head": [ "119", "121", "PERSON", "Marlon Stewart" ], "tail": [ "8", "10", "PERSON", "Travis DeCuire" ] } ], [ { "head": [ "119", "121", "PERSON", "Marlon Stewart" ], "tail": [ "18", "20", "ORG", "Washington State" ] } ], [ { "head": [ "119", "121", "PERSON", "Marlon Stewart" ], "tail": [ "22", "24", "PERSON", "Ken Bone" ] } ], [ { "head": [ "119", "121", "PERSON", "Marlon Stewart" ], "tail": [ "31", "32", "PERSON", "DeCuire" ] } ], [ { "head": [ "119", "121", "PERSON", "Marlon Stewart" ], "tail": [ "58", "59", "PERSON", "Bone" ] } ], [ { "head": [ "119", "121", "PERSON", "Marlon Stewart" ], "tail": [ "62", "63", "ORG", "WSU" ] } ], [ { "head": [ "119", "121", "PERSON", "Marlon Stewart" ], "tail": [ "64", "65", "DATE", "March" ] } ], [ { "head": [ "119", "121", "PERSON", "Marlon Stewart" ], "tail": [ "66", "69", "DATE", "the fifth year" ] } ], [ { "head": [ "119", "121", "PERSON", "Marlon Stewart" ], "tail": [ "71", "74", "DATE", "seven-year" ] } ], [ { "head": [ "119", "121", "PERSON", "Marlon Stewart" ], "tail": [ "84", "87", "MONEY", "$1.7 million" ] } ], [ { "head": [ "119", "121", "PERSON", "Marlon Stewart" ], "tail": [ "91", "95", "DATE", "the remaining two years" ] } ], [ { "head": [ "119", "121", "PERSON", "Marlon Stewart" ], "tail": [ "98", "102", "PERSON", "Jono Metzger-Jones" ] } ], [ { "head": [ "119", "121", "PERSON", "Marlon Stewart" ], "tail": [ "105", "106", "ORG", "UM" ] } ], [ { "head": [ "119", "121", "PERSON", "Marlon Stewart" ], "tail": [ "108", "110", "ORG", "Chico State" ] } ], [ { "head": [ "119", "121", "PERSON", "Marlon Stewart" ], "tail": [ "111", "113", "PERSON", "Chris Cobb" ] } ], [ { "head": [ "119", "121", "PERSON", "Marlon Stewart" ], "tail": [ "115", "116", "ORG", "UM" ] } ] ]

[ " LOCATION_OF\n\n Entities: \n [{'head': ['", " LOCATION_OF\n or\n HOMETOWN_OF (less likely", " FORMER_EMPLOYER", " COACHES_AT.", " LOCATION_OF\n OR\n HOMETOWN_OF (less likely", " ASSOCIATE_HEAD_COACH", " PREVIOUSLY_LOCATED_AT", " BONE_FIRED_IN.\n\n Entities: \n [{'", " COACHED_FOR\n\n Explanation:\n The text states that Tr", " NO_RELATION", " PAID_BY", " PAYMENT_RECEIVED_BY", " REMAINS", " LOCATED_AT", " NEW_ASSISTANT", " JOINED_BY", " LOCATED_AT", " DIRECTOR_OF_OPERATIONS", " LOCATION_IN_REGION", " COACHES", " FORMER_EMPLOYER", " ASSOCIATE_HEAD_COACH", " COACHES_OF", " ASSOCIATE_HEAD_COACH", " FORMER_EMPLOYER", " BONE_FIRED_IN.\n\n Entities: \n [{'", " COACHED_FOR\n\n Explanation:\n The text states that Tr", " CONTRACT_LENGTH", " PAID_BY", " PAYMENT_RECEIVED_BY", " REMAINS", " COACHES_AT.", " NEW_ASSISTANT", " JOINED_BY", " COACHES_AT.", " DIRECTOR_OF_OPERATIONS", " LOCATION_OF\n\n Entities: \n [{'head': ['", " COACHES_AT.", " FORMER_EMPLOYER", " ASSOCIATE_HEAD_COACH", " SELF", " ASSOCIATE_HEAD_COACH", " FORMER_EMPLOYER", " FIRED", " PAST_EMPLOYMENT", " PAST_EMPLOYER", " PAID_BY", " PAYS_SALARY", " REMAINING_STAFF", " COACHES\n\n Entities: \n [{'head': ['10", " NEW_ASSISTANT", " HAS_ASSISTANT", " COACHES", " DIRECTOR_OF_OPERATIONS", " FORMER_EMPLOYER_OF.", " FORMER_EMPLOYER_EMPLOYEE", " PREVIOUSLY_WORKED_FOR", " FORMER_EMPLOYER_EMPLOYEE", " FORMER_EMPLOYER_OF", " FORMER_EMPLOYER_EMPLOYEE", " FORMER_EMPLOYER_EMPLOYEE", " FIRED", " HEAD_OF:\n The head entity is Washington State and the relation is that it", " PREVIOUS_EMPLOYER_OF\n\n Entities: ", " PAID_BY", " PAYMENT_RECEIVED_FROM", " REMAINS", " PREVIOUSLY_WORKED_FOR", " NEW_ASSOCIATE\n\n Explanation:\n The text states that", " JOINED_BY", " PREVIOUSLY_WORKED_FOR", " DIRECTOR_OF_BAsketball_operations", " ASSOCIATE_HEAD_COACH_OF", " ASSOCIATE_HEAD_COACH", " ASSOCIATE_HEAD_COACH", " FORMER_HEAD_COACH_OF", " ASSOCIATE_HEAD_COACH", " ASSOCIATE_HEAD_COACH", " FORMER_EMPLOYER", " FIRED_BY", " FIRED_IN_YEAR", " HAD_EMPLOYMENT_FOR\n\n Or:\n\n [{'", " PAID_BY", " RECEIVES_SALARY", " ASSOC_PROF\n\n Entities: \n [{'head': ['", " ASSOCIATE_HEAD_COACH", " FORMER_ASSOCIATE\n\n Explanation:\n Ken B", " ASSOCIATE_HEAD_COACH", " ASSOCIATE_HEAD_COACH", " DIRECTOR_OF_OPERATIONS", " LOCATED_IN", " HEAD_OF\n Or\n COACH_OF\n Or\n DI", " SELF", " FORMER_EMPLOYER", " ASSOCIATE_HEAD_COACH", " ASSOCIATE_HEAD_COACH", " FORMER_EMPLOYER", " FIRED", " SELECTED_IN_YEAR", " PAST_EMPLOYMENT", " PAID_BY", " PAYS_SALARY", " REMAINS_ASSISTANT", " COACHES", " NEW_ASSISTANT", " HAS_ASSISTANT", " COACHES\n\n Entities: \n [{'head': ['11", " DIRECTOR_OF_BASKETBALL_OPERATIONS", " ASSOCIATE_HEAD_COACH_OF", " ASSOCIATE_HEAD_COACH", " ASSOCIATE_HEAD_COACH", " FORMER_EMPLOYER", " ASSOCIATE_HEAD_COACH", " ASSOCIATE_HEAD_COACH", " FORMER_EMPLOYER", " FIRED_BY", " COACHED_FOR\n\n Explanation:\n The text states that Ken", " PAST_EMPLOYER_OF\n\n Or:\n\n [{'", " PAID_BY", " PAYMENT_RECEIVED_FROM_EMPLOYER", " ASSOC_PROF\n\n Entities: \n [{'head': ['", " ASSOCIATE_HEAD_COACH", " FORMER_EMPLOYER", " ASSOCIATE_PROFESSIONAL\n\n Explanation:\n In", " ASSOCIATE_HEAD_COACH", " DIRECTOR_OF_OPERATIONS", " DEPARTED_FROM", " DEPARTED_FROM", " EMPLOYED_BY", " FORMER_EMPLOYER_EMPLOYEE", " ASSOCIATE_HEAD_COACH", " 'EMPLOYED_BY'", " ASSOCIATE_HEAD_COACH", " BONE_FIRED_IN.\n\n Entities: \n [{'", " FIRED_BY", " EMPLOYED_FOR_DURATION", " PAID_BY", " PAYMENT_RECEIVED_FROM", " REMAINS", " ASSOCIATE_WITH", " NEW_ASSOCIATE\n\n Explanation:\n In the text,", " JOINED_BY", " ASSOCIATE_WITH", " DIRECTOR_OF_BAsketball_operations", " NO_RELATION", " NO_RELATION", " NO_RELATION", " 'FIRED_BY'", " HIRED_BY", " NO_RELATION", " HAS_PREVIOUS_EMPLOYMENT", " TERMINATED_EMPLOYMENT", " REMAINS", " NO_RELATION", " NEW_ASSISTANT", " JOINED_STAFF", " NO_RELATION", " DIRECTOR_OF_OPERATIONS", " DECUIRE_IS_EMPLOYED_BY_MISSOULA", " DECUIRE_SELECTED_GPE", " SELECTED_ASSISTANT", " PREVIOUSLY_WORKED_FOR", " ASSOCIATE_HEAD_COACH", " PAST_EMPLOYER", " ASSOCIATE_HEAD_COACH", " PREVIOUSLY_WORKED_FOR", " REMAINS", " ASSOCIATE_HEAD_COACH", " NEW_ASSISTANT", " JOINED_BY", " ASSOCIATE_HEAD_COACH", " DIRECTOR_OF_BAsketball_operations", " LOCATION_OF\n\n Entities: \n [{'head': ['", " DECUIRE_EMPLOYED_AT\n Or\n NO_REL", " SELECTED", " PREVIOUSLY_WORKED_FOR", " ASSOCIATE_HEAD_COACH", " PREVIOUS_EMPLOYER", " ASSOCIATE_HEAD_COACH", " PREVIOUSLY_WORKED_FOR", " REMAINS", " ASSOCIATE_HEAD_COACH", " NEW_ASSISTANT", " JOINED_BY", " DECUIRE_EMPLOYED_AT\n Or\n NO_REL", " DIRECTOR_OF_BAsketball_operations", " PAID_BY", " PAID_BY", " PAID_BY", " PAID_BY", " PAID_BY", " PAID_BY", " PAID_BY", " PAID_BY", " REMAINS", " PAYMENT", " NEW_EMPLOYER", " HAS_JOINED", " PAYMENT", " DIRECTOR_OF_OPERATIONS\n\n Or, if no relation exists:", " PAYMENT_RECEIVED_BY", " PAYMENT_RECEIVED_BY", " PAYS_SALARY", " PAYMENT_RECEIVED_FROM", " PAYS", " PAYS_SALARY", " PAYMENT_RECEIVED_FROM", " PAYMENT_RECEIVED_FROM", " REMAINS_AT_ORGANIZATION", " PAYMENT_RECEIVED_BY", " NEW_EMPLOYER", " JOINED_BY", " PAYMENT_RECEIVED_FROM", " DIRECTOR_OF_OPERATIONS", " REMAINS", " REMAINING", " REMAINS_ASSISTANT", " REMAINED_AT", " ASSISTANT_OF", " REMAINS_ASSISTANT", " ASSISTANT_OF", " REMAINED_AT", " REMAINING", " REMAINS", " REMAINING_STAFF", " REMAINS_WITH_SALARY", " REMAINS_EMPLOYED_UNTIL_DATE", " REMAINS", " JOINED_AS_ASSISTANT", " REPLACE_ME\n\n The relation between Jono Metzger-Jones", " REMAINS", " DIRECTOR_OF_OPERATIONS", " LOCATION_OF\n\n Entities: \n [{'head': ['", " NEW_ADMINISTRATOR", " COACHES", " PREVIOUSLY_WORKED_FOR", " ASSOCIATE_HEAD_COACH", " COACHES", " ASSOCIATE_HEAD_COACH", " PREVIOUSLY_WORKED_FOR", " FIRED", " COACHED_FOR\n\n Explanation:\n The text states that Tr", " ASSOC_WITH\n\n Explanation:\n The text states that Ken B", " PAID_BY", " PAYMENT_RECEIVED_BY_ORG", " REMAINS", " NEW_ASSOCIATE\n\n Explanation:\n The text states that", " JOINED_BY", " COACH_OF", " DIRECTOR_OF_BAsketball_operations", " ASSOC_WITH", " ASSOCIATED_WITH", " ASSOC_PROF\n\n Explanation:\n The text states that Chris", " PREVIOUSLY_WORKED_FOR", " ASSOCIATE_HEAD_COACH", " ASSOCIATE_WITH", " ASSOCIATE_HEAD_COACH", " FORMER_EMPLOYER_EMPLOYEE", " NEW_EMPLOYER_FOR_PERIOD\n\n Explanation:", " ASSOC_WITH\n\n Explanation:\n The text states that Chris C", " ASSOC_WITH", " PAID_AMOUNT", " NEW_EMPLOYER", " ASSISTANT_OF", " ASSOC_WITH", " ASSOCIATE_WITH", " ASSOC_WITH", " DIRECTOR_OF_OPERATIONS", " JOINS", " JOINS", " ASSISTANT_COACH", " JOINED_ORGANIZATION", " ASSISTANT_OF", " ASSISTANT_COACH", " ASSISTANT_OF", " JOINED_ORGANIZATION", " JOINED_DATE", " JOINED_FOR_TIME_PERIOD", " ASSOCIATED_WITH", " PAYS", " JOINED_BY_DATE", " JOINS", " JOINED_STAFF", " ASSOCIATED_WITH", " JOINED_STAFF", " ASSOC_PROF\n\n Explanation:\n The text states that Chris", " LOCATION_OF\n\n Entities: \n [{'head': ['", " NEW_ADMINISTRATOR", " COACHES", " PREVIOUSLY_WORKED_FOR", " ASSOCIATE_HEAD_COACH", " COACHES", " ASSOCIATE_HEAD_COACH", " COACHED_AT\n\n Explanation:\n The text states that Tr", " SALARY_PAID_UNTIL_DATE", " COACHED_FOR\n\n Explanation:\n The text states that Tr", " ASSOC_WITH\n\n Explanation:\n The text states that Ken B", " PAYS", " PAYMENT_RECEIVED_BY_ORG", " REMAINS", " ASSOC_WITH", " NEW_ASSISTANT", " JOINED_BY", " DIRECTOR_OF_BAsketball_operations", " DIRECTOR_OF_OPERATIONS", " DIRECTOR_OF_OPERATIONS", " DIRECTOR_OF_OPERATIONS\n\n Or, if no relation exists:", " DIRECTOR_OF_OPERATIONS_OF", " DIRECTOR_OF_BAsketball_operations -> ASSOCIATE_HEAD", " DIRECTOR_OF_OPERATIONS", " DIRECTOR_OF_BAsketball_operations\n\n Or\n\n ", " DIRECTOR_OF_OPERATIONS_OF", " NO_RELATION", " NO_RELATION", " NO_RELATION", " PAID_BY", " DIRECTOR_OF_OPERATIONS_HAS_CONTRACT_UNTIL_", " DIRECTOR_OF_OPERATIONS\n\n Or\n\n ['MISS", " DIRECTOR_OF_OPERATIONS", " PREVIOUSLY_WORKED_FOR", " DIRECTOR_OF_BAsketball_operations\n\n Or, if no", " DIRECTOR_OF_OPERATIONS" ]

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[ "These concerts not only delight the audiences in the Musikverein in Vienna, but also enjoy great international popularity through\nthe worldwide television broadcast, which now reaches over 90 countries.\nFranz Welser-Möst enjoys a particularly close and productive artistic partnership with the Vienna Philharmonic. After 2011 and 2013 the concert on January 1st marks the 3rd time, that Franz Welser-Möst conducts this prestigious concert event.\nThe 2023 New Year's Concert will be broadcast in over 90 countries and followed by millions of television viewers around the world." ]

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[ " LOCATION_IN.", " ENJOYS_PARTNERSHIP", " LOCATION_OF\n OR:\n PERFORMS\n (Note:", " ENJOYS_PRODUCTIVE_ARTISTIC_PARTNERSHIP", " LOCATION_OF\n\n Entities: \n [{'head': ['", " REACHES\n\n Explanation:\n The text states that the Vienna concert", " ENJOYS_PRODUCTIVE_ARTISTIC_PARTNERSHIP", " LOCATION_OF\n\n Explanation:\n The text states that \"", " PREVIOUS_EVENT\n\n Entities: \n [{'head", " PREVIOUS_EVENT\n\n Entities: \n [{'head", " LOCATION_OF\n\n Explanation:\n The text states that the", " HAS_EVENT_NUMBER\n\n Entities: \n [{'head':", " ENJOYS_PRODUCTIVE_ARTISTIC_PARTNERSHIP", " BROADCASTS_ON", " LOCATION_OF\n OR\n BROADCAST_IN\n OR", " REACHES_NUMBER_OF_COUNTRIES", " FOLLOWS\n\n Explanation:\n The text states that \"The", " REACHES\n\n Explanation:\n The text states that the New Year", " BROADCASTS_TO", " BROADCASTS_TO", " BROADCASTS_TO", " ENJOYS_VENUE", " ENJOYS_PRODUCTIVE_ARTISTIC_PARTNERSHIP", " BROADCASTS_TO", " PARTNERSHIP", " PREVIOUSLY_CONDUCTED", " CONDUCTED_EVENT\n\n Entities: \n [{'head': ['", " CONDUCTS", " CONDUCTS_EVENT_THREE_OR_MORE_TIMES", " ENJOYS_PRODUCTIVE_ARTISTIC_PARTNERSHIP", " CONDUCTS", " CONDUCTS", " CONDUCTS_EVENT_WITH_NUM_COUNTRIES", " FOLLOWS\n\n Explanation:\n Franz Welser-Möst", " PERFORMS_AT", " LOCATED_IN", " BROADCASTS_TO", " PARTNERSHIP", " PREVIOUSLY_CONDUCTED", " CONDUCTED_CONCERT\n\n Entities: \n [{'head", " CONDUCTS", " ARTISTIC_PARTNERSHIP", " PARTNERSHIP", " PERFORMS_AT", " ORGANIZES", " BROADCASTS_TO", " FOLLOWS\n\n Explanation:\n The Vienna Philharmonic follows", " PREVIOUS_LOCATION_OF\n\n Explanation:\n ", " CONDUCTED", " CONDUCTED", " CONDUCTED", " PREVIOUS_LOCATION_OF\n\n Explanation:\n ", " CONDUCTED_CONCERT", " CONDUCTED", " CONDUCTED_CONCERT", " HAPPENS_IN", " CONDUCTS", " CONDUCTS", " CONDUCTS", " CONDUCTS\n\n Explanation:\n Franz Welser-Möst conduct", " CONDUCTS", " CONDUCTS", " CONDUCTS", " ENJOYS_VENUE", " ENJOYS_PRODUCTIVE_ARTISTIC_PARTNERSHIP", " BROADCASTS_TO", " ENJOYS_PRODUCTIVE_ARTISTIC_PARTNERSHIP", " ARTISTIC_PARTNERSHIP", " PREVIOUSLY_CONDUCTED", " CONDUCTED_EVENT\n\n Entities: \n [{'head': ['", " CONDUCTS", " CONDUCTS_EVENT_THREE_OR_MORE_TIMES", " CONDUCTS\n\n Explanation:\n Franz Welser-Möst conduct", " CONDUCTS", " BROADCASTS_TO", " FOLLOWS", " BROADCAST_IN", " CONDUCTS", " PERFORMS\n\n Explanation:\n The text states that \"Franz", " CONDUCTS", " LOCATION.\n\n Entities: \n [{'head': ['Fr", " CONDUCTS", " ORGANIZES", " CONDUCTS", " BROADCAST_IN.", " BROADCASTS_TO", " BROADCASTS_TO", " BROADCASTS_TO", " FOLLOWS_IN_NUMERIC_ORDER_WITH_QUANTITY\n", " FOLLOWS", " FOLLOWS_VIEWERS", " FOLLOWS" ]

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[ "Thank you for your interest in our school!\nWe invite you to learn more\nWelcome to St. Matthew Catholic School! Our community of students and their families along with our teachers, administrators and support staff take great pride in the school's\"family atmosphere\" and its purpose to teach our children to live the message of the Gospel, treating others as Christ would.\nThe faculty and staff members at St. Matthew are dedicated individuals who profess a deep commitment to Catholic education and the development of each child according to his or her God-given talents. In all daily tasks, we strive to provide opportunities which will help students develop solid Christian values as well as strong morals and character.\nIt is our hope that our website will provide an overview of St. Matthew Catholic School and our quest to offer quality education and knowledge within a faith-filled community. Thank you for your interest in school and please don't hesitate to contact us with any questions.\nYours in Christ," ]

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[ " TEACHES_GOSPEL", " SAME_AS", " 'IS_A' or 'PART_OF' or 'ASSOCIATED_WITH", " EDUCATION_INSTITUTION_HAS_AFFILIATION_WITH", " SELF_REFERENCE", " FOUNDER", " FOUNDER", " 'BELONGS_TO'", " FAITH_RELATION.CHRISTIANITY", " FOUNDER", " SCHOOL_OF\n OR:\n IDENTICAL\n\n Ex", " TEACHES_GOSPEL", " 'ORGANIZATION_TYPE'", " FAITH_TRADITION\n\n Explanation:\n The text describes St", " SCHOOL_OF\n OR:\n IDENTICAL\n\n Ex", " EDUCATIONAL_INSTITUTION_OF\n\n Explanation:", " TEACHES\n\n Explanation:\n The text describes St. Matthew Catholic", " EDUCATIONAL_INSTITUTION_OF\n\n Explanation:", " EDUCATIONAL_INSTITUTION_OF\n\n Explanation:", " EDUCATIONAL_INSTITUTION_FOUNDED_BY\n OR", " CHRISTIAN_ORGANIZATION_OF_CHRIST.", " FOUNDATION\n\n Explanation:\n The text describes St. Matthew as", " EDUCATIONAL_INSTITUTION_OF\n\n Explanation:", " SELF_REFERENCE", " TEACHES_GOSPEL", " SCHOOL_OF\n # This model is a relation extractor, not a", " 'IS_A' or 'PART_OF' or 'ASSOC_WITH' or", " EDUCATION_INSTITUTION_HAS_AFFILIATION_WITH" ]

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[ "Private Yura “Yuri” Yegerov\nThomas trained at the National Youth Theatre in 2009, and has recently completed a degree in English Literature at King’s College London. He has performed the roles of Romeo in Romeo & Juliet and Telegin in Uncle Vanya in amateur productions. He additionally originated the role of Will in Same Sex Attraction at the Central School of Speech and Drama. Thomas has also dabbled in other theatrical fields, directing a university production of The Importance of Being Earnest and completing a playwriting course at the Royal Academy of Dramatic Art. The Curing Room marks his professional acting début." ]

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[ " TRAINED_AT.", " TRAINED_AT.", " EDUCATED_IN\n\n Explanation:\n Yura \"Y", " 'EDUCATED_AT'", " PLAYED_ROLE", " PERFORMED_IN.", " PLAYED_ROLE", " PERFORMED_IN", " DEBUTED_IN.", " ORIGINATED", " ORIGINATED_ROLE", " TRAINED_BY", " DIRECTED", " COMPLETED_COURSE", " DEBUTED_IN", " TRAINED_AT.", " TRAINED_AT.", " TRAINED_IN.", " TRAINED_AT.", " TRAINED_AT.", " TRAINED_IN.", " TRAINED_AT.", " TRAINED_AT.", " TRAINED_AT.", " PREMIERE_OF", " TRAINED_AT.", " TRAINED_AT.", " DIRECTED", " TRAINED_AT.", " DEBUTED_IN.", " TRAINED_AT.", " TRAINED_AT.", " STUDIED_AT", " TRAINED_IN.", " TRAINED_AT.", " TRAINED_AT.", " TRAINED_AT.", " TRAINED_AT.", " COMPLETED_COURSE_AT", " TRAINED_BY\n\n Explanation:\n The text states that \"", " TRAINED_AT.", " COMPLETED_DEGREE_AT", " PLAYED_ROLE", " PERFORMED_IN.", " HAS_PERFORMED_IN\n\n Explanation:\n Thomas has", " STUDIED_AT", " HAS_EDUCATION_IN_LANGUAGE", " COMPLETED_COURSE_AT", " EDUCATED_AT", " TRAINED_AT.", " COMPLETED_DEGREE", " EDUCATED_AT", " STUDIED_AT", " STUDIED_AT.", " COMPLETED_DEGREE_AT", " TRAINED_AT.", " COMPLETED_DEGREE_AT", " GRADUATED_FROM", " EDUCATED_AT", " 'EDUCATED_AT'", " EDUCATED_AT", " EDUCATED_AT", " GRADUATED_FROM", " ACTED_IN", " TRAINED_AT.", " PERFORMED_IN_YEAR", " PERFORMED_IN\n\n Explanation:\n The text states that Thomas", " STUDIED_AT", " PLAYED_ROLE", " CO_STARRED_IN", " PLAYED_ROLE_IN", " PLAYED_CHARACTER_IN_PRODUCTION", " ORIGINATED_ROLE", " ORIGINATED_ROLE", " PLAYED_CHARACTER_IN_PRODUCTION", " DIRECTED", " COMPLETED_COURSE_AT", " DEBUTED_IN", " ACTED_IN", " TRAINED_AT.", " TRAINED_AT.", " ACTED_IN", " PERFORMED_IN", " PERFORMED_IN.", " ORIGINATED_ROLE", " PERFORMED_IN.", " TRAINED_AT.", " ACTED_IN", " TRAINED_AT.", " TRAINED_AT.", " HAS_EDUCATION_IN\n\n Explanation:\n The text", " STUDIED_AT", " ACTED_IN\n\n Explanation:\n The text states that Thomas has", " PERFORMED_IN", " PERFORMED_IN", " PRECEDED_BY", " ORIGINATED", " ORIGINATED_FROM", " PLAYED_CHARACTER_IN_PRODUCTION", " DIRECTED", " COMPLETED_COURSE_AT", " DEBUTED_IN", " ACTED_IN", " TRAINED_AT.", " TRAINED_AT.", " PLAYED_ROLE", " PERFORMED_IN", " ORIGINATED_ROLE", " ORIGINATED_AT", " PERFORMED_IN", " TRAINED_AT.", " PREVIOUSLY_PERFORMED_IN\n\n Explanation:", " TRAINED_AT.", " COMPLETED_BEFORE", " HAS_DEGREE_IN", " COMPLETED_DEGREE_AT", " PLAYED_ROLE_IN\n\n Explanation:\n The text", " PERFORMED_IN", " ORIGINATED_ROLE_OF", " ORIGINATED_ROLE_IN", " ORIGINATED", " ORIGINATED_AT", " ORIGINATED_ROLE_OF", " DIRECTED", " COMPLETED_COURSE_AT", " DEBUTED_IN", " ORIGINATED_ROLE", " PREMIERE_AT", " EDUCATED_AT", " ORIGINATED_ROLE", " ORIGINATED", " ORIGINATED_ROLE", " ORIGINATED_AT", " ORIGINATED", " WRITTEN_AT.", " ORIGINATED_ROLE", " TRAINED_AT.", " TRAINED_AT.", " EDUCATED_AT", " EDUCATED_AT", " ORIGINATED_ROLE", " PERFORMED_IN", " ORIGINATED_ROLE", " PERFORMED_IN", " ORIGINATED", " ORIGINATED", " ORIGINATED_ROLE", " DIRECTED", " TRAINED_AT.", " DEBUTED_IN", " TRAINED_BY", " TRAINED_AT.", " TRAINED_AT.", " HAS_EDUCATION_IN\n\n Explanation:\n Thomas has", " 'EDUCATED_AT'", " PLAYED_ROLE", " PERFORMED_IN", " PLAYED_ROLE", " PERFORMED_IN", " PRECEDED_BY", " ORIGINATED", " ORIGINATED_FROM", " DIRECTED", " COMPLETED_COURSE_AT", " DEBUTED_IN", " DIRECTED", " DIRECTED", " LOCATION_OF\n or\n EDUCATED_AT", " DIRECTED", " DIRECTED", " DIRECTED", " DIRECTED", " DIRECTED", " TRAINED_AT", " TRAINED_AT.", " TRAINED_AT.", " COMPLETED_COURSE_AT", " COMPLETED_COURSE_IN_LANGUAGE", " COMPLETED_TRAINING_AT", " COMPLETED_PLAYWRITING_COURSE", " COMPLETED_PLAYWRITING_COURSE", " COMPLETED_TRAINING_AT", " TRAINED_AT.", " COMPLETED_COURSE_AT", " WRITTEN_AT.", " TRAINED_AT.", " COMPLETED_COURSE_AT", " TRAINED_AT.", " DEBUTED_AT", " DEBUTED_IN", " TRAINED_AT.", " EDUCATED_AT", " PERFORMED_IN.", " PERFORMED_IN", " DEBUTED_IN", " DEBUTED_AT", " DEBUTED_IN", " PRODUCED_AT" ]

[ [ "1", "6", "PERSON", "Yura “Yuri” Yegerov" ], [ "10", "14", "ORG", "the National Youth Theatre" ], [ "15", "16", "DATE", "2009" ], [ "24", "25", "LANGUAGE", "English" ], [ "27", "31", "ORG", "King’s College London" ], [ "38", "39", "PERSON", "Romeo" ], [ "40", "43", "WORK_OF_ART", "Romeo & Juliet" ], [ "44", "45", "PERSON", "Telegin" ], [ "46", "48", "WORK_OF_ART", "Uncle Vanya" ], [ "58", "59", "PERSON", "Will" ], [ "60", "63", "WORK_OF_ART", "Same Sex Attraction" ], [ "64", "71", "ORG", "the Central School of Speech and Drama" ], [ "72", "73", "PERSON", "Thomas" ], [ "86", "91", "WORK_OF_ART", "The Importance of Being Earnest" ], [ "97", "103", "ORG", "the Royal Academy of Dramatic Art" ], [ "104", "107", "WORK_OF_ART", "The Curing Room" ] ]

[ "This has become one my favorite \"bodybuilding\" back exercises. It's simply unparalleled when it comes to the focused development of the latissimus dorsi, with a special emphasis on the lower portion of the lats. This exercise is derived from Vince Gironda's motorcycle rowing.\nThe Classic Motorcycle Row\nI prefer to use the same movement pattern, but with only one arm. The unilateral aspect of the movement allows for a greater activation of the HTMUs (high threshold motor units) in the lats while also facilitating a fuller range of motion.\nThe trunk angle basically inhibits the participation of the rhomboids and thus focuses the effort mostly on the lats. The key points are to really get a deep stretch of the lats in the starting position and to aim for your hips with the elbow of the pulling arm." ]

[ [ "This", "has", "become", "one", "my", "favorite", "\"", "bodybuilding", "\"", "back", "exercises", ".", "It", "'s", "simply", "unparalleled", "when", "it", "comes", "to", "the", "focused", "development", "of", "the", "latissimus", "dorsi", ",", "with", "a", "special", "emphasis", "on", "the", "lower", "portion", "of", "the", "lats", ".", "This", "exercise", "is", "derived", "from", "Vince", "Gironda", "'s", "motorcycle", "rowing", ".", "\n", "The", "Classic", "Motorcycle", "Row", "\n", "I", "prefer", "to", "use", "the", "same", "movement", "pattern", ",", "but", "with", "only", "one", "arm", ".", "The", "unilateral", "aspect", "of", "the", "movement", "allows", "for", "a", "greater", "activation", "of", "the", "HTMUs", "(", "high", "threshold", "motor", "units", ")", "in", "the", "lats", "while", "also", "facilitating", "a", "fuller", "range", "of", "motion", ".", "\n", "The", "trunk", "angle", "basically", "inhibits", "the", "participation", "of", "the", "rhomboids", "and", "thus", "focuses", "the", "effort", "mostly", "on", "the", "lats", ".", "The", "key", "points", "are", "to", "really", "get", "a", "deep", "stretch", "of", "the", "lats", "in", "the", "starting", "position", "and", "to", "aim", "for", "your", "hips", "with", "the", "elbow", "of", "the", "pulling", "arm", "." ] ]

[ [ { "head": [ "45", "48", "PERSON", "Vince Gironda's" ], "tail": [ "52", "56", "PRODUCT", "The Classic Motorcycle Row" ] } ], [ { "head": [ "45", "48", "PERSON", "Vince Gironda's" ], "tail": [ "68", "70", "CARDINAL", "only one" ] } ], [ { "head": [ "52", "56", "PRODUCT", "The Classic Motorcycle Row" ], "tail": [ "45", "48", "PERSON", "Vince Gironda's" ] } ], [ { "head": [ "68", "70", "CARDINAL", "only one" ], "tail": [ "45", "48", "PERSON", "Vince Gironda's" ] } ] ]

[ " ORIGINATED_FROM", " DERIVED_FROM", " DERIVED_FROM", " DERIVED_FROM" ]

[ [ "45", "48", "PERSON", "Vince Gironda's" ], [ "52", "56", "PRODUCT", "The Classic Motorcycle Row" ], [ "68", "70", "CARDINAL", "only one" ] ]

[ "Hunt Seat Paper Lucky Christmas Stocking\nRegular price$ 19.95\nShipping calculated at checkout.\n- Low stock - 1 item left\n- Inventory on the way\nHandmade in my little studio just for you! These 12\" stockings are small but mighty! Designed to use on stall doors, but also great to use as a gift bag and stuff full of little goodies. Each stocking is lined with 100% cotton, and has a recycled canvas exterior for outdoor use. Each stocking has a small gift card pocket sewn on the front. Made by hand in Los Angeles by me (Hi, I'm Amy!)" ]

[ [ "Hunt", "Seat", "Paper", "Lucky", "Christmas", "Stocking", "\n", "Regular", "price$", "19.95", "\n", "Shipping", "calculated", "at", "checkout", ".", "\n", "-", "Low", "stock", "-", "1", "item", "left", "\n", "-", "Inventory", "on", "the", "way", "\n", "Handmade", "in", "my", "little", "studio", "just", "for", "you", "!", "These", "12", "\"", "stockings", "are", "small", "but", "mighty", "!", "Designed", "to", "use", "on", "stall", "doors", ",", "but", "also", "great", "to", "use", "as", "a", "gift", "bag", "and", "stuff", "full", "of", "little", "goodies", ".", "Each", "stocking", "is", "lined", "with", "100", "%", "cotton", ",", "and", "has", "a", "recycled", "canvas", "exterior", "for", "outdoor", "use", ".", "Each", "stocking", "has", "a", "small", "gift", "card", "pocket", "sewn", "on", "the", "front", ".", "Made", "by", "hand", "in", "Los", "Angeles", "by", "me", "(", "Hi", ",", "I", "'m", "Amy", "!", ")" ] ]

[ [ { "head": [ "0", "3", "ORG", "Hunt Seat Paper" ], "tail": [ "9", "10", "MONEY", "19.95" ] } ], [ { "head": [ "0", "3", "ORG", "Hunt Seat Paper" ], "tail": [ "21", "22", "CARDINAL", "1" ] } ], [ { "head": [ "0", "3", "ORG", "Hunt Seat Paper" ], "tail": [ "41", "43", "QUANTITY", "12\"" ] } ], [ { "head": [ "0", "3", "ORG", "Hunt Seat Paper" ], "tail": [ "77", "79", "PERCENT", "100%" ] } ], [ { "head": [ "0", "3", "ORG", "Hunt Seat Paper" ], "tail": [ "108", "110", "GPE", "Los Angeles" ] } ], [ { "head": [ "0", "3", "ORG", "Hunt Seat Paper" ], "tail": [ "117", "118", "PERSON", "Amy" ] } ], [ { "head": [ "9", "10", "MONEY", "19.95" ], "tail": [ "0", "3", "ORG", "Hunt Seat Paper" ] } ], [ { "head": [ "9", "10", "MONEY", "19.95" ], "tail": [ "108", "110", "GPE", "Los Angeles" ] } ], [ { "head": [ "9", "10", "MONEY", "19.95" ], "tail": [ "117", "118", "PERSON", "Amy" ] } ], [ { "head": [ "21", "22", "CARDINAL", "1" ], "tail": [ "0", "3", "ORG", "Hunt Seat Paper" ] } ], [ { "head": [ "21", "22", "CARDINAL", "1" ], "tail": [ "108", "110", "GPE", "Los Angeles" ] } ], [ { "head": [ "21", "22", "CARDINAL", "1" ], "tail": [ "117", "118", "PERSON", "Amy" ] } ], [ { "head": [ "41", "43", "QUANTITY", "12\"" ], "tail": [ "0", "3", "ORG", "Hunt Seat Paper" ] } ], [ { "head": [ "41", "43", "QUANTITY", "12\"" ], "tail": [ "108", "110", "GPE", "Los Angeles" ] } ], [ { "head": [ "41", "43", "QUANTITY", "12\"" ], "tail": [ "117", "118", "PERSON", "Amy" ] } ], [ { "head": [ "77", "79", "PERCENT", "100%" ], "tail": [ "0", "3", "ORG", "Hunt Seat Paper" ] } ], [ { "head": [ "77", "79", "PERCENT", "100%" ], "tail": [ "108", "110", "GPE", "Los Angeles" ] } ], [ { "head": [ "77", "79", "PERCENT", "100%" ], "tail": [ "117", "118", "PERSON", "Amy" ] } ], [ { "head": [ "108", "110", "GPE", "Los Angeles" ], "tail": [ "0", "3", "ORG", "Hunt Seat Paper" ] } ], [ { "head": [ "108", "110", "GPE", "Los Angeles" ], "tail": [ "9", "10", "MONEY", "19.95" ] } ], [ { "head": [ "108", "110", "GPE", "Los Angeles" ], "tail": [ "21", "22", "CARDINAL", "1" ] } ], [ { "head": [ "108", "110", "GPE", "Los Angeles" ], "tail": [ "41", "43", "QUANTITY", "12\"" ] } ], [ { "head": [ "108", "110", "GPE", "Los Angeles" ], "tail": [ "77", "79", "PERCENT", "100%" ] } ], [ { "head": [ "108", "110", "GPE", "Los Angeles" ], "tail": [ "117", "118", "PERSON", "Amy" ] } ], [ { "head": [ "117", "118", "PERSON", "Amy" ], "tail": [ "0", "3", "ORG", "Hunt Seat Paper" ] } ], [ { "head": [ "117", "118", "PERSON", "Amy" ], "tail": [ "9", "10", "MONEY", "19.95" ] } ], [ { "head": [ "117", "118", "PERSON", "Amy" ], "tail": [ "21", "22", "CARDINAL", "1" ] } ], [ { "head": [ "117", "118", "PERSON", "Amy" ], "tail": [ "41", "43", "QUANTITY", "12\"" ] } ], [ { "head": [ "117", "118", "PERSON", "Amy" ], "tail": [ "77", "79", "PERCENT", "100%" ] } ], [ { "head": [ "117", "118", "PERSON", "Amy" ], "tail": [ "108", "110", "GPE", "Los Angeles" ] } ] ]

[ " PRICE", " SELLS\n\n Explanation:\n The text states that \"These ", " PRODUCES", " LINED_WITH", " PRODUCED_IN.", " MADE_BY", " PRICE", " PRICE_IN_LOCATION", " CREATED_BY", " MADE_BY.", " MADE_IN.", " MADE_BY", " PRODUCES", " MADE_IN.", " MADE_BY", " LINED_WITH", " MADE_IN.", " MADE_BY", " LOCATED_IN", " PRICE_OF\n Or\n NO_RELATION (if no relation exists)", " MADE_IN.", " MADE_IN.", " MADE_IN_LOCATION", " MADE_BY", " MADE_BY", " PRICE_OF.", " MADE_BY.", " MADE_OF", " MADE_OF", " LIVES_IN" ]

[ [ "0", "3", "ORG", "Hunt Seat Paper" ], [ "9", "10", "MONEY", "19.95" ], [ "21", "22", "CARDINAL", "1" ], [ "41", "43", "QUANTITY", "12\"" ], [ "77", "79", "PERCENT", "100%" ], [ "108", "110", "GPE", "Los Angeles" ], [ "117", "118", "PERSON", "Amy" ] ]

[ "Lexington area and mail-in options for donating, selling, and recycling decluttered items of all sizes and varieties.*\nNationwide charities and organizations who accept donations of clothing, household goods, electronics, and more.*\nClick on the Picture to Access Each Guide\nNationwide charities and organizations where you can sell, repurpose, or recycle unique items.*\n*These lists are just a FEW of the amazing resources out there. Clearly we couldn't put EVERYTHING on them.\nIf you know of a GREAT one that you'd love to see added please drop Tara an email" ]

[ [ "Lexington", "area", "and", "mail", "-", "in", "options", "for", "donating", ",", "selling", ",", "and", "recycling", "decluttered", "items", "of", "all", "sizes", "and", "varieties", ".", "*", "\n", "Nationwide", "charities", "and", "organizations", "who", "accept", "donations", "of", "clothing", ",", "household", "goods", ",", "electronics", ",", "and", "more", ".", "*", "\n", "Click", "on", "the", "Picture", "to", "Access", "Each", "Guide", "\n", "Nationwide", "charities", "and", "organizations", "where", "you", "can", "sell", ",", "repurpose", ",", "or", "recycle", "unique", "items", ".", "*", "\n", "*", "These", "lists", "are", "just", "a", "FEW", "of", "the", "amazing", "resources", "out", "there", ".", "Clearly", "we", "could", "n't", "put", "EVERYTHING", "on", "them", ".", "\n", "If", "you", "know", "of", "a", "GREAT", "one", "that", "you", "'d", "love", "to", "see", "added", "please", "drop", "Tara", "an", "email" ] ]

[ [ { "head": [ "0", "1", "GPE", "Lexington" ], "tail": [ "51", "52", "ORG", "Guide" ] } ], [ { "head": [ "0", "1", "GPE", "Lexington" ], "tail": [ "111", "112", "PERSON", "Tara" ] } ], [ { "head": [ "51", "52", "ORG", "Guide" ], "tail": [ "0", "1", "GPE", "Lexington" ] } ], [ { "head": [ "51", "52", "ORG", "Guide" ], "tail": [ "111", "112", "PERSON", "Tara" ] } ], [ { "head": [ "111", "112", "PERSON", "Tara" ], "tail": [ "0", "1", "GPE", "Lexington" ] } ], [ { "head": [ "111", "112", "PERSON", "Tara" ], "tail": [ "51", "52", "ORG", "Guide" ] } ] ]

[ " AREA_OF\n\n Explanation:\n The text states that \"L", " RECEIVES_EMAIL", " LOCATED_IN", " RECEIVES_EMAIL", " CONTAINS_REGION", " RECEIVES_EMAIL" ]

[ [ "0", "1", "GPE", "Lexington" ], [ "51", "52", "ORG", "Guide" ], [ "111", "112", "PERSON", "Tara" ] ]

[ "Lake Trumps Friendswood 68-51\nIn a hard fought victory that was more difficult to achieve than many expected, the Clear Lake Falcons led by 11 at the end of the first quarter but the Mustangs battled back to be down 30-28 at the half. It was 49-40 after three and the Falcons put it away in the fourth but it was not an easy victory.\nThere were more illegal (uncalled) screens by Friendswood than I have seen in years. Too many elbows, not too punishing, but certainly uncalled for, by a team that will not make the playoffs.\nFor Lake Ajare Sanni had 25, Jere Maldonado had 20, and Riley Abercrombie had 14.\nIn other action Creek was defeated by Dickinson 79-56 so the game Friday with Creek will have the Wildcats super pumped to whip the Falcons. You will not want to miss this game." ]

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"ORG", "Dickinson" ], "tail": [ "133", "134", "CARDINAL", "14" ] } ], [ { "head": [ "143", "144", "ORG", "Dickinson" ], "tail": [ "139", "140", "ORG", "Creek" ] } ], [ { "head": [ "143", "144", "ORG", "Dickinson" ], "tail": [ "144", "145", "CARDINAL", "79" ] } ], [ { "head": [ "143", "144", "ORG", "Dickinson" ], "tail": [ "150", "151", "DATE", "Friday" ] } ], [ { "head": [ "143", "144", "ORG", "Dickinson" ], "tail": [ "152", "153", "ORG", "Creek" ] } ], [ { "head": [ "143", "144", "ORG", "Dickinson" ], "tail": [ "156", "157", "ORG", "Wildcats" ] } ], [ { "head": [ "143", "144", "ORG", "Dickinson" ], "tail": [ "162", "163", "ORG", "Falcons" ] } ], [ { "head": [ "144", "145", "CARDINAL", "79" ], "tail": [ "0", "2", "ORG", "Lake Trumps" ] } ], [ { "head": [ "144", "145", "CARDINAL", "79" ], "tail": [ "2", "3", "ORG", "Friendswood" ] } ], [ { "head": [ "144", "145", "CARDINAL", "79" ], "tail": [ "22", "26", "ORG", "the Clear Lake Falcons" ] } ], [ { "head": [ "144", "145", "CARDINAL", "79" ], "tail": [ "38", "39", "ORG", "Mustangs" ] } ], [ { "head": [ "144", "145", "CARDINAL", "79" ], "tail": [ "60", "61", "ORG", "Falcons" ] } ], [ { "head": [ "144", "145", "CARDINAL", "79" ], "tail": [ "85", "86", "ORG", "Friendswood" ] } ], [ { "head": [ "144", "145", "CARDINAL", "79" ], "tail": [ "118", "119", "ORG", "Lake" ] } ], [ { "head": [ "144", "145", "CARDINAL", "79" ], "tail": [ "119", "121", "PERSON", "Ajare Sanni" ] } ], [ { "head": [ "144", "145", "CARDINAL", "79" ], "tail": [ "124", "126", "PERSON", "Jere Maldonado" ] } ], [ { "head": [ "144", "145", "CARDINAL", "79" ], "tail": [ "130", "132", "PERSON", "Riley Abercrombie" ] } ], [ { "head": [ "144", "145", "CARDINAL", "79" ], "tail": [ "139", "140", "ORG", "Creek" ] } ], [ { "head": [ "144", "145", "CARDINAL", "79" ], "tail": [ "143", "144", "ORG", "Dickinson" ] } ], [ { "head": [ "144", "145", "CARDINAL", "79" ], "tail": [ "152", "153", "ORG", "Creek" ] } ], [ { "head": [ "144", "145", "CARDINAL", "79" ], "tail": [ "156", "157", "ORG", "Wildcats" ] } ], [ { "head": [ "144", "145", "CARDINAL", "79" ], "tail": [ "162", "163", "ORG", "Falcons" ] } ], [ { "head": [ "150", "151", "DATE", "Friday" ], "tail": [ "0", "2", "ORG", "Lake Trumps" ] } ], [ { "head": [ "150", "151", "DATE", "Friday" ], "tail": [ "2", "3", "ORG", "Friendswood" ] } ], [ { "head": [ "150", "151", "DATE", "Friday" ], "tail": [ "22", "26", "ORG", "the Clear Lake Falcons" ] } ], [ { "head": [ "150", "151", "DATE", "Friday" ], "tail": [ "38", "39", "ORG", "Mustangs" ] } ], [ { "head": [ "150", "151", "DATE", "Friday" ], "tail": [ "60", "61", "ORG", "Falcons" ] } ], [ { "head": [ "150", "151", "DATE", "Friday" ], "tail": [ "85", "86", "ORG", "Friendswood" ] } ], [ { "head": [ "150", "151", "DATE", "Friday" ], "tail": [ "118", "119", "ORG", "Lake" ] } ], [ { "head": [ "150", "151", "DATE", "Friday" ], "tail": [ "119", "121", "PERSON", "Ajare Sanni" ] } ], [ { "head": [ "150", "151", "DATE", "Friday" ], "tail": [ "124", "126", "PERSON", 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"head": [ "152", "153", "ORG", "Creek" ], "tail": [ "28", "29", "CARDINAL", "11" ] } ], [ { "head": [ "152", "153", "ORG", "Creek" ], "tail": [ "34", "35", "ORDINAL", "first" ] } ], [ { "head": [ "152", "153", "ORG", "Creek" ], "tail": [ "38", "39", "ORG", "Mustangs" ] } ], [ { "head": [ "152", "153", "ORG", "Creek" ], "tail": [ "44", "45", "CARDINAL", "30" ] } ], [ { "head": [ "152", "153", "ORG", "Creek" ], "tail": [ "53", "54", "CARDINAL", "49" ] } ], [ { "head": [ "152", "153", "ORG", "Creek" ], "tail": [ "57", "58", "CARDINAL", "three" ] } ], [ { "head": [ "152", "153", "ORG", "Creek" ], "tail": [ "60", "61", "ORG", "Falcons" ] } ], [ { "head": [ "152", "153", "ORG", "Creek" ], "tail": [ "66", "67", "ORDINAL", "fourth" ] } ], [ { "head": [ "152", "153", "ORG", "Creek" ], "tail": [ "85", "86", "ORG", "Friendswood" ] } ], [ { "head": [ "152", "153", "ORG", "Creek" ], "tail": [ "91", "92", "DATE", "years" ] } ], [ { "head": [ "152", "153", "ORG", "Creek" ], "tail": [ "118", "119", "ORG", "Lake" ] } ], [ { "head": [ "152", "153", "ORG", "Creek" ], "tail": [ "119", "121", "PERSON", "Ajare Sanni" ] } ], [ { "head": [ "152", "153", "ORG", "Creek" ], "tail": [ "122", "123", "CARDINAL", "25" ] } ], [ { "head": [ "152", "153", "ORG", "Creek" ], "tail": [ "124", "126", "PERSON", "Jere Maldonado" ] } ], [ { "head": [ "152", "153", "ORG", "Creek" ], "tail": [ "127", "128", "CARDINAL", "20" ] } ], [ { "head": [ "152", "153", "ORG", "Creek" ], "tail": [ "130", "132", "PERSON", "Riley Abercrombie" ] } ], [ { "head": [ "152", "153", "ORG", "Creek" ], "tail": [ "133", "134", "CARDINAL", "14" ] } ], [ { "head": [ "152", "153", "ORG", "Creek" ], "tail": [ "139", "140", "ORG", "Creek" ] } ], [ { "head": [ "152", "153", "ORG", "Creek" ], "tail": [ "143", "144", "ORG", "Dickinson" ] } ], [ { "head": [ "152", "153", "ORG", "Creek" ], "tail": [ "144", "145", "CARDINAL", "79" ] } ], [ { "head": [ "152", "153", "ORG", "Creek" ], "tail": [ "150", "151", "DATE", "Friday" ] } ], [ { "head": [ "152", "153", "ORG", "Creek" ], "tail": [ "156", "157", "ORG", "Wildcats" ] } ], [ { "head": [ "152", "153", "ORG", "Creek" ], "tail": [ "162", "163", "ORG", "Falcons" ] } ], [ { "head": [ "156", "157", "ORG", "Wildcats" ], "tail": [ "0", "2", "ORG", "Lake Trumps" ] } ], [ { "head": [ "156", "157", "ORG", "Wildcats" ], "tail": [ "2", "3", "ORG", "Friendswood" ] } ], [ { "head": [ "156", "157", "ORG", "Wildcats" ], "tail": [ "3", "4", "CARDINAL", "68" ] } ], [ { "head": [ "156", "157", "ORG", "Wildcats" ], "tail": [ "22", "26", "ORG", "the Clear Lake Falcons" ] } ], [ { "head": [ "156", "157", "ORG", "Wildcats" ], "tail": [ "28", "29", "CARDINAL", "11" ] } ], [ { "head": [ "156", "157", "ORG", "Wildcats" ], "tail": [ "34", "35", "ORDINAL", "first" ] } ], [ { "head": [ "156", "157", "ORG", "Wildcats" ], "tail": [ "38", "39", "ORG", "Mustangs" ] } ], [ { "head": [ "156", "157", "ORG", "Wildcats" ], "tail": [ "44", "45", "CARDINAL", "30" ] } ], [ { "head": [ "156", "157", "ORG", "Wildcats" ], "tail": [ "53", "54", "CARDINAL", "49" ] } ], [ { "head": [ "156", "157", "ORG", "Wildcats" ], "tail": [ "57", "58", "CARDINAL", "three" ] } ], [ { "head": [ "156", "157", "ORG", "Wildcats" ], "tail": [ "60", "61", "ORG", "Falcons" ] } ], [ { "head": [ "156", "157", "ORG", "Wildcats" ], "tail": [ "66", "67", "ORDINAL", "fourth" ] } ], [ { "head": [ "156", "157", "ORG", "Wildcats" ], "tail": [ "85", "86", "ORG", "Friendswood" ] } ], [ { "head": [ "156", "157", "ORG", "Wildcats" ], "tail": [ "91", "92", "DATE", "years" ] } ], [ { "head": [ "156", "157", "ORG", "Wildcats" ], "tail": [ "118", "119", "ORG", "Lake" ] } ], [ { "head": [ "156", "157", "ORG", "Wildcats" ], "tail": [ "119", "121", "PERSON", "Ajare Sanni" ] } ], [ { "head": [ "156", "157", "ORG", "Wildcats" ], "tail": [ "122", "123", "CARDINAL", "25" ] } ], [ { "head": [ "156", "157", "ORG", "Wildcats" ], "tail": [ "124", "126", "PERSON", "Jere Maldonado" ] } ], [ { "head": [ "156", "157", "ORG", "Wildcats" ], "tail": [ "127", "128", "CARDINAL", "20" ] } ], [ { "head": [ "156", "157", "ORG", "Wildcats" ], "tail": [ "130", "132", "PERSON", "Riley Abercrombie" ] } ], [ { "head": [ "156", "157", "ORG", "Wildcats" ], "tail": [ "133", "134", "CARDINAL", "14" ] } ], [ { "head": [ "156", "157", "ORG", "Wildcats" ], "tail": [ "139", "140", "ORG", "Creek" ] } ], [ { "head": [ "156", "157", "ORG", "Wildcats" ], "tail": [ "143", "144", "ORG", "Dickinson" ] } ], [ { "head": [ "156", "157", "ORG", "Wildcats" ], "tail": [ "144", "145", "CARDINAL", "79" ] } ], [ { "head": [ "156", "157", "ORG", "Wildcats" ], "tail": [ "150", "151", "DATE", "Friday" ] } ], [ { "head": [ "156", "157", "ORG", "Wildcats" ], "tail": [ "152", "153", "ORG", "Creek" ] } ], [ { "head": [ "156", "157", "ORG", "Wildcats" ], "tail": [ "162", "163", "ORG", "Falcons" ] } ], [ { "head": [ "162", "163", "ORG", "Falcons" ], "tail": [ "0", "2", "ORG", "Lake Trumps" ] } ], [ { "head": [ "162", "163", "ORG", "Falcons" ], "tail": [ "2", "3", "ORG", "Friendswood" ] } ], [ { "head": [ "162", "163", "ORG", "Falcons" ], "tail": [ "3", "4", "CARDINAL", "68" ] } ], [ { "head": [ "162", "163", "ORG", "Falcons" ], "tail": [ "22", "26", "ORG", "the Clear Lake Falcons" ] } ], [ { "head": [ "162", "163", "ORG", "Falcons" ], "tail": [ "28", "29", "CARDINAL", "11" ] } ], [ { "head": [ "162", "163", "ORG", "Falcons" ], "tail": [ "34", "35", "ORDINAL", "first" ] } ], [ { "head": [ "162", "163", "ORG", "Falcons" ], "tail": [ "38", "39", "ORG", "Mustangs" ] } ], [ { "head": [ "162", "163", "ORG", "Falcons" ], "tail": [ "44", "45", "CARDINAL", "30" ] } ], [ { "head": [ "162", "163", "ORG", "Falcons" ], "tail": [ "53", "54", "CARDINAL", "49" ] } ], [ { "head": [ "162", "163", "ORG", "Falcons" ], "tail": [ "57", "58", "CARDINAL", "three" ] } ], [ { "head": [ "162", "163", "ORG", "Falcons" ], "tail": [ "60", "61", "ORG", "Falcons" ] } ], [ { "head": [ "162", "163", "ORG", "Falcons" ], "tail": [ "66", "67", "ORDINAL", "fourth" ] } ], [ { "head": [ "162", "163", "ORG", "Falcons" ], "tail": [ "85", "86", "ORG", "Friendswood" ] } ], [ { "head": [ "162", "163", "ORG", "Falcons" ], "tail": [ "91", "92", "DATE", "years" ] } ], [ { "head": [ "162", "163", "ORG", "Falcons" ], "tail": [ "118", "119", "ORG", "Lake" ] } ], [ { "head": [ "162", "163", "ORG", "Falcons" ], "tail": [ "119", "121", "PERSON", "Ajare Sanni" ] } ], [ { "head": [ "162", "163", "ORG", "Falcons" ], "tail": [ "122", "123", "CARDINAL", "25" ] } ], [ { "head": [ "162", "163", "ORG", "Falcons" ], "tail": [ "124", "126", "PERSON", "Jere Maldonado" ] } ], [ { "head": [ "162", "163", "ORG", "Falcons" ], "tail": [ "127", "128", "CARDINAL", "20" ] } ], [ { "head": [ "162", "163", "ORG", "Falcons" ], "tail": [ "130", "132", "PERSON", "Riley Abercrombie" ] } ], [ { "head": [ "162", "163", "ORG", "Falcons" ], "tail": [ "133", "134", "CARDINAL", "14" ] } ], [ { "head": [ "162", "163", "ORG", "Falcons" ], "tail": [ "139", "140", "ORG", "Creek" ] } ], [ { "head": [ "162", "163", "ORG", "Falcons" ], "tail": [ "143", "144", "ORG", "Dickinson" ] } ], [ { "head": [ "162", "163", "ORG", "Falcons" ], "tail": [ "144", "145", "CARDINAL", "79" ] } ], [ { "head": [ "162", "163", "ORG", "Falcons" ], "tail": [ "150", "151", "DATE", "Friday" ] } ], [ { "head": [ "162", "163", "ORG", "Falcons" ], "tail": [ "152", "153", "ORG", "Creek" ] } ], [ { "head": [ "162", "163", "ORG", "Falcons" ], "tail": [ "156", "157", "ORG", "Wildcats" ] } ] ]

[ " OPPOSING_TEAMS", " SCORED_AGAINST", " 'NAME_SAME'", " DIFFERENCE_WITH_VALUE\n\n Explanation:\n The text states", " LEADS_AT. Quadruple check that the head is the entity that is", " OPPONENT", " DIFFERENCE_IN_POINTS", " PLAY_AGAINST", " LEADS_AT_HALFTIME", " 'NAME_SAME'", " PUT_AWAY_IN", " OPPOSING_TEAMS", " YEARS_AGO", " LEADS", " SCORED_FOR", " SCORED_FOR\n Or, if you prefer:\n HEAD_S", " SCORED_FOR", " LEADS_TO\n\n Explanation:\n The text describes a basketball", " SCORED_FOR\n\n Explanation:\n The text mentions that", " WILL_PLAY_AGAINST", " LOSES_TO", " LOSES_TO", " WILL_PLAY_AGAINST", " LOOKAHEAD #1\n The text does not provide enough context to determine a relation", " LOSES_TO", " FRINGE_EVENT_WILL_OPPONENT_PLAY_AGAINST", " 'NAME_SAME'", " OPPOSING_TEAMS", " SCORED_AGAINST", " OPPOSING_TEAMS", " DOWN_BY\n\n Explanation:\n The text states that \"it", " LEADS_AT. 'Friendswood' LEADS_AT_QUART", " BATTLED_AGAINST", " LOST_TO", " LOST_TO", " DEFEATED", " OPPOSING_TEAMS", " BATTLED_IN (head battled in the event described by the context, tail is", " NO_RELATION", " SINCE", " FRIENDSWITH\n\n Explanation:\n The text mentions that", " SCORED_FOR\n\n Explanation:\n The text mentions that", " HAS_PROPERTY\n\n Explanation:\n The text mentions that '", " PLAYED_FOR\n\n Explanation:\n The text mentions that", " NO_RELATION", " PLAYED_FOR\n\n Explanation:\n The text mentions that", " WILL_PLAY_AGAINST", " LOSES_TO", " DEFEATED_BY", " DEFEATED", " WILL_PLAY_AGAINST", " LOSES_TO", " WILL_PLAY_AGAINST", " OPPOSING_TEAMS", " SCORED_AGAINST", " DEFEATED", " SCORED_AGAINST", " DIFFERENCE_TRAILING_SCORE", " SCORED_AGAINST", " DEFEATED", " SCORED_AGAINST", " SCORED_FOR\n Or\n NO_RELATION (if no relation exists", " SCORED_FOR\n # This model is a relation extractor, not a language", " SCORED_FOR\n # The text mentions that Riley Abercrombie", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " WON_BY", " OPPOSING_TEAM", " SCORED_AGAINST", " LEADS_BY", " LEADS_AT\n\n Entities: \n [{'head': ['", " OPPONENT", " BEAT\n\n Explanation:\n The text describes a basketball game between the", " SPORTS_TEAM_WON_GAME", " LEAD_AT. After a strong first quarter, the Clear Lake Falcons led Friendswood", " SAME_NAME", " PUT_AWAY_IN", " OPPOSING_TEAMS", " HAS_PREDATED\n\n Explanation:\n The text mentions", " IS_AFFILIATED_WITH", " PLAYER_OF\n\n Explanation:\n The text mentions that", " SCORED_FOR\n\n Explanation:\n The text mentions that", " TEAM_MEMBER", " SCORED\n\n Explanation:\n The text mentions that 'For", " SCORED_FOR", " WILL_PLAY_AGAINST", " LOSES_TO", " DEFEATED", " WILL_PLAY_AGAINST", " EXCITED_ABOUT_GAME_WITH", " DEFEATED", " FRINGE_ENTITY_WILL_PLAY_AGAINST_HEAD_ENT", " IDENTICAL", " BEHIND_BY", " BEHIND_BY", " BEHIND_AT_HALFTIME", " DIFFERENCE\n\n Explanation:\n The text states that the Mustangs", " DIFFERENCE_WITH_VALUE\n\n Explanation:\n The text states", " BEHIND_BY", " DIFFERENCE_IN_POINTS", " SCORED_FOR\n # The text mentions that Ajare Sanni had", " SCORED_FOR\n\n Explanation:\n The text mentions that", " SCORED_FOR\n # The text mentions that Riley Abercrombie", " DEFEATED", " DEFEATED", " DEFEATED", " EXCITED_ABOUT_DEF_VICTORY_OVER_ORG", " DIFFERENCE_WITH_VALUE\n\n Explanation:\n The text states", " LEADS_AT. Quote \"LEADS_AT\" for this relation label", " LEADS_AT_HALFTIME", " LEADS_AT.END_OF.QUARTER", " LEAD_AT_QUARTER", " LEADS_AT. Quadruple check that the head is the entity that is", " LEADS_AT. Quadruple check that the head is the one doing the", " LEADS_BY", " SCORED_FOR\n Or\n SCORED_POINTS_FOR\n", " SCORED_FOR\n # The entities represent the quarter and the player who scored.", " SCORED_FOR\n Or\n SCORED_POINTS_BY\n", " DEFEATED", " DEFEATED", " DEFEATED", " LOOKING_FORWARD_TO", " LEADS_AT. Quadruple label for clarity: LEADS_AT", " LOSES_TO", " OPPOSING_TEAMS", " LOST_TO", " OPPOSING_TEAMS", " DIFFERENCE_WITH_VALUE\n\n Explanation:\n The text states", " BEHIND_AT (Mustangs are behind at the end of the first quarter)", " LOSES_TO", " WILL_PLAY_AGAINST", " LOST_TO", " OPPOSING_TEAMS", " BATTLED_IN (Mustangs, fourth)", " OPPOSING_TEAMS", " YEARS_AGO", " LOST_TO", " SCORED_FOR\n or\n SCORED_POINTS_FOR\n", " LOST_TO", " PLAYED_FOR\n\n Explanation:\n The text mentions that", " WILL_PLAY_AGAINST", " PLAYED_FOR\n\n Explanation:\n The text mentions that", " WILL_PLAY_AGAINST", " WILL_PLAY_AGAINST", " DEFEATED", " DEFEATED", " LOOKING_FORWARD_TO", " DEFEATED", " WILL_PLAY_AGAINST", " OPPOSING_TEAMS", " DEFEATED", " LOST_TO", " DEFEATED", " SCORED_AGAINST", " DEFEATED", " DEFEATED", " DEFEATED", " SCORED_FOR\n # This model is a relation extractor and only outputs valid", " SCORED_FOR\n\n Explanation:\n The text mentions that", " SCORED_FOR\n\n Explanation:\n The text mentions that", " DEFEATED", " DEFEATED", " DEFEATED", " LOOKING_FORWARD_TO_DEFATING", " DEFEATED", " SCORED_AGAINST", " PLAYED_AGAINST", " SCORED_AGAINST", " LOST_AGAINST", " SCORED_AGAINST", " LOST_TO", " DIFFERENT_FROM", " SCORED_FOR\n # The text mentions that Ajare Sanni had", " SCORED_FOR\n # The text mentions that Jere Maldonado", " SCORED_FOR\n\n Explanation:\n The text mentions that", " DEFEATED", " DEFEATED", " DEFEATED", " WILL_PLAY_AGAINST", " DEFEATED", " LOST_AGAINST", " SPORTS_EVENT_OPPONENT", " LOSES_BEFORE \n\n Explanation:\n The text ment", " DIFFERENCE_OF_POINTS", " LOST_AGAINST", " LOST_TO", " DIFFERENCE_IN_POINTS", " SCORED_FOR\n\n Explanation:\n The text mentions that", " SCORED_FOR\n # This model is a relation extractor, not a text", " SCORED_FOR\n # or\n # SCORED_POINTS_", " DEFEATED", " DEFEATED", " DEFEATED", " LOOKING_FORWARD_TO_DEFATING", " LOSES_TO", " WINNER_OF", " OPPONENT", " SCORED_AGAINST", " SPORTS_TEAM_NAME\n\n Entities: \n [{'", " DIFFERENCE_WITH_VALUE\n or\n LEADS_BY_VALUE", " LEADS_AT. 'first quarter' is the time when 'Falcons'", " OPPOSING_TEAMS", " DIFFERENCE_IN_POINTS", " PLAY_AGAINST", " LEADS_AT. (The Falcons led at the end of the third quarter.)", " PUT_AWAY_IN", " OPPONENT", " YEARS_AGO", " LEADS", " SCORED_FOR", " SCORED_FOR\n Or\n NO_RELATION (if 'Fal", " SCORED_FOR", " SCORED\n\n Explanation:\n The text mentions that 'F", " SCORED_FOR", " WILL_PLAY_AGAINST", " LOSES_TO", " DEFEATED", " DEFEATED_BY", " LOOKAHEAD #1: The text mentions a game between the Falcons and Creek", " LOSES_TO", " FRINGE_EVENT_FOLLOWS_FRINGE_EVENT", " SELF_REFERENCE", " PUT_AWAY_BY", " PUT_AWAY_BY (The fourth quarter put away the game by Friendswood)", " PUT_AWAY_BY", " PUT_AWAY_BY", " PUT_AWAY_BY (The fourth quarter put away the victory for the Falcons", " PUT_AWAY\n\n Explanation:\n The text states that \"", " LEADS_BY", " SCORED_FOR\n Or\n SCORED_POINTS_FOR\n", " SCORED_FOR\n\n Explanation:\n The text mentions that", " SCORED_FOR\n\n Explanation:\n The text describes Riley", " LOOKING_FORWARD_TO_BEATING", " EXCITED_ABOUT_PLAYING_AGAINST", " LOOKING_FORWARD_TO_DEFATE_LABEL\n\n Explan", " LOOKING_FORWARD_TO_BEATING", " PUT_AWAY_BY (The fourth quarter put away the game for the Falcons", " OPPOSING_TEAMS", " NO_RELATION", " LOST_TO", " OPPOSING_TEAMS", " DIFFERENCE_WITH_VALUE\n\n Explanation:\n The text states", " BEFORE", " OPPOSITE_TEAMS", " DEFEATED", " LOST_TO", " PREVIOUSLY_PLAYED_AGAINST", " OPPOSING_TEAMS", " BATTLED_IN (Friendswood, fourth)", " OCCURRED_IN_YEARS", " FRIENDSWITH\n\n Explanation:\n The text describes a basketball", " PLAYED_FOR\n\n Explanation:\n The text mentions that", " PLAYED_FOR\n\n Explanation:\n The text mentions '", " PLAYED_FOR\n\n Explanation:\n The text mentions that", " COMMITTED_VIOLATIONS_OF_RULES_AGAINST", " PLAYED_FOR\n\n Explanation:\n The text mentions that", " NO_RELATION", " LOSES_TO", " DEFEATED_BY", " DEFEATED", " NO_RELATION", " LOSES_TO", " LOOKAHEAD #1: The text mentions \"You will not want to miss this", " OPPOSING_TEAMS", " YEARS_AGO", " YEARS_AGO", " BEFORE\n\n Explanation:\n The text mentions that 'it was", " PREVIOUS_GAME_AGAINST\n\n Explanation:", " YEARS_AGO", " YEARS_AGO", " YEARS_AGO", " SCORED_FOR\n\n Explanation:\n The text mentions that", " SCORED_FOR\n # This relation indicates that Jere Maldonado scored", " SCORED_FOR\n\n Explanation:\n The text mentions that", " DEFEATED", " DEFEATED", " DEFEATED", " EXCITED_ABOUT_PLAYING_AGAINST_ANOTHER_", " YEARS_AGO", " LEADS", " LEADS_AT_HALFTIME", " SCORED_AGAINST", " IS_NAME_OF", " LEADS_BY", " LEADS_BY", " LEADS_AT_HALFTIME", " LEADS_BY", " LEADS_BY", " LEADS_AT. (Lake leads at half time)", " 'NAME_OF_ORG_IS_NAME_OF_ORG'", " LEADS_AT\n\n Explanation:\n The text states that \"", " LEADS", " BACK_IN_TIMES", " PLAYER_OF\n or\n PLAYED_FOR\n (B", " LEADS_WITH_POINTS\n\n Explanation:\n The text", " SCORED_FOR\n\n Explanation:\n The text states that \"", " LEADS_BY", " SCORED_FOR\n\n Explanation:\n The text states that \"", " LEADS_BY", " DEFEATED", " DEFEATED_BY", " DEFEATED_BY", " LOOKING_FORWARD_TO", " DEFEATED", " FRINGE_ENTITY_WILL_PLAY_AGAINST_HEAD_ENT", " LEADS", " PLAYER_OF\n or\n MEMBER_OF\n depending on the", " PLAYED_AGAINST", " SCORED_FOR\n # This model is a relation extractor, not a text", " PLAYER_OF\n or\n MEMBER_OF\n depending on the", " SCORED_FOR\n # This model is a relation extractor, not a text", " LEADS_AT\n or\n HAD_POINTS_AT\n ", " SCORED_FOR\n # Or, if you prefer, you could use the label", " SCORED_FOR\n # The text states that Ajare Sanni had ", " SCORED_FOR\n # The entities represent the player 'Ajare Sanni", " SCORED_FOR\n # The text mentions that Ajare Sanni had", " SCORED_FOR", " SCORED_IN", " PLAYED_AGAINST", " HAS_BEEN_GOING_ON_FOR\n\n Explanation:", " PLAYER_OF\n or\n MEMBER_OF\n or\n ", " SCORED\n\n Explanation:\n The text states that \"For Lake", " SCORED_FOR\n\n Explanation:\n The text describes a basketball", " SCORED\n\n Explanation:\n The text states that \"For Lake", " SCORED_FOR\n or\n SCORED_AGAINST\n\n", " SCORED_FOR\n # This model is a relation extractor, not a text", " DEFEATED_BY", " WILL_PLAY_OPPONENT", " NO_RELATION", " EXCITED_ABOUT_GAME_WITH_TEAM_WHO_", " DEFEATED", " SCORED_FOR\n\n Explanation:\n Ajare Sanni", " SCORED_FOR", " PLAY_FOR\n\n Explanation:\n The text mentions 'L", " COMPETES_AGAINST", " SCORED_FOR\n # This is the relation between the entities where the head entity", " SCORED_FOR\n\n Explanation:\n The text states that '", " SCORED_FOR", " PLAYED_AGAINST", " SCORED_FOR\n # The entities represent 'Lake' and 'Sanni", " SCORED_FOR\n # This model is a relation extractor and only outputs valid", " TEAMMATE", " SCORED_FOR\n\n Explanation:\n The text mentions that", " DEFEATED", " DEFEATED", " DEFEATED", " WILL_PLAY_AGAINST", " SCORED_FOR", " PLAYER_OF\n or\n MEMBER_OF\n depending on the", " PLAYED_AGAINST", " SCORED_FOR\n # The text mentions that Jere Maldonado", " PLAYER_OF\n or\n MEMBER_OF\n depending on the", " SCORED_FOR\n # The text mentions that Jere Maldonado", " SCORED_IN\n\n Explanation:\n The text mentions that", " SCORED_FOR\n # This model is a relation extractor, not a text", " SCORED_FOR\n # The text mentions that Jere Maldonado", " SCORED_FOR\n # The text mentions that Jere Maldonado", " SCORED_FOR\n Or\n SCORED_IN\n Or\n", " PLAYER_OF\n or\n MEMBER_OF\n depending on the", " SCORED_IN", " PLAYED_AGAINST", " HAS_BEEN_GOING_ON_FOR\n\n Explanation:", " PLAYER_OF\n or\n MEMBER_OF\n depending on the", " SCORED_FOR\n # The text mentions that Jere Maldonado", " SCORED_FOR\n # This model is a relation extractor and only outputs valid", " HAD_POINTS", " SCORED_FOR\n\n Explanation:\n Jere Maldon", " SCORED_FOR\n # The text mentions that Jere Maldonado", " DEFEATED", " DEFEATED_BY", " DIFFERENT_TEAM", " WILL_PLAY_AGAINST", " DEFEATED", " WILL_PLAY_AGAINST", " PLAYER_OF\n or\n MEMBER_OF\n or\n ", " SPORTS_TEAM_WON_GAME", " OPPOSING_TEAM", " SPORTS_TEAM_WON_GAME", " LOST_TO", " SPORTS_TEAM_DEF_BY\n or\n ORG_NAME", " OPPOSING_TEAM", " LOSES_TO", " SCORED_FOR", " SCORED_FOR\n # The text mentions that Jere Maldonado", " SCORED_FOR\n\n Explanation:\n The text mentions that", " DEFEATED", " DEFEATED", " DEFEATED", " WILL_PLAY_AGAINST", " DEFEATED", " PLAYER_OF\n or\n MEMBER_OF\n or\n ", " PLAYED_AGAINST", " SCORED_FOR\n\n Explanation:\n Riley Abercrom", " PLAYER_OF\n or\n MEMBER_OF\n depending on the", " SCORED_FOR\n\n Explanation:\n Riley Abercrom", " SCORED_IN\n\n Explanation:\n Riley Abercrom", " SCORED_FOR\n\n Explanation:\n Riley Abercrom", " SCORED_FOR\n\n Explanation:\n Riley Abercrom", " SCORED_FOR\n\n Explanation:\n Riley Abercrom", " SCORED_FOR\n\n Explanation:\n Riley Abercrom", " SCORED_FOR", " SCORED_IN\n\n Explanation:\n Riley Abercrom", " PLAYED_FOR\n\n Explanation:\n The text mentions that", " HAS_BEEN_MENTIONED_IN_SAME_CONTEXT_AS", " PLAYER_OF\n or\n MEMBER_OF\n or\n ", " SCORED_FOR\n\n Explanation:\n Riley Abercrom", " SCORED_FOR\n\n Explanation:\n Riley Abercrom", " SCORED_FOR\n\n Explanation:\n Riley Abercrom", " SCORED_POINTS", " SCORED_FOR\n\n Explanation:\n Riley Abercrom", " WILL_PLAY_AGAINST", " WILL_PLAY_AGAINST", " WILL_PLAY_AGAINST", " WILL_PLAY_AGAINST", " LOSES_TO", " WILL_PLAY_AGAINST", " SCORED_FOR", " SPORTS_EVENT_PARTICIPANT", " OPPOSING_TEAM", " DEFEATED", " LOST_TO", " SPORTS_TEAM_DEF_BY\n or\n ORG_NAME", " OPPOSING_TEAM", " DEFEATED", " SCORED_FOR", " SCORED_FOR", " SCORED_FOR\n # This model is a relation extractor and only outputs valid", " DEFEATED", " DEFEATED", " DEFEATED", " WILL_PLAY_AGAINST", " WILL_PLAY_AGAINST", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED_BY", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " OTHER_EVENT_HAS_TIME_PERIOD", " DEFEATED", " YEARS_AGO", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " LOOKAHEAD #1\n The text mentions 'Creek' and 'Fr", " LOSES_TO", " WILL_PLAY_AGAINST", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED_BY", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED_BY", " DEFEATED", " DEPENDENCY_MENTIONS_OF_MENTIONS_IN_OTHER", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED_BY", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " LOOKING_FORWARD_TO", " DEFEATED", " WILL_PLAY_AGAINST", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " SCORED_FOR\n\n Explanation:\n The text mentions that", " SCORED_FOR\n # This relation indicates that Jere Maldonado scored", " SCORED_FOR\n # This model is a relation extractor and only outputs valid", " DEFEATED", " DEFEATED", " DEFEATED", " WILL_PLAY_AGAINST", " DEFEATED", " FUTURE_EVENT", " PLAYS_AGAINST", " LOOKING_FORWARD_TO_PLAYING_AGAINST", " LOOKING_FORWARD_TO_PLAYING_AGAINST", " OTHER_EVENT_FRIDAY_VS_FALCONS", " LOOKING_FORWARD_TO_PLAYING", " FUTURE_EVENT", " SCORED_FOR\n\n Explanation:\n The text mentions that", " PLAYED_FOR\n\n Explanation:\n The text mentions that", " PLAYED_FOR\n\n Explanation:\n The text mentions that", " OTHER_EVENT_FOLLOWS_OTHER_EVENT", " WILL_PLAY_AGAINST", " FRIDAY_GAME", " LOOKING_FORWARD_TO", " FUTURE_EVENT\n OR:\n NO_RELATION (if 'F", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED_BY", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " OTHER_EVENT_HAS_TIME_PERIOD", " DEFEATED", " YEARS_AGO", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " DEFEATED", " LOSES_TO", " DEFEATED", " DEFEATED", " LOOKAHEAD #1: The text mentions \"Creek was defeated by Dickinson", " WILL_PLAY_AGAINST", " DEFEATED", " WILL_PLAY_AGAINST", " WILL_PLAY_AGAINST", " DEFEATED", " WILL_PLAY_AGAINST", " WILL_PLAY_AGAINST", " NO_RELATION", " WILL_PLAY_AGAINST", " WILL_PLAY_AGAINST", " WILL_PLAY_AGAINST", " WILL_PLAY_AGAINST", " WILL_PLAY_AGAINST", " LOOKING_FORWARD_TO", " WILL_PLAY_AGAINST", " NO_RELATION", " WILL_PLAY_AGAINST", " WILL_PLAY_AGAINST", " WILL_PLAY_AGAINST", " WILL_PLAY_AGAINST", " WILL_PLAY_AGAINST", " WILL_TRY_TO_DEFATE", " WILL_PLAY_AGAINST", " WILL_PLAY_AGAINST", " DEFEATED", " WILL_PLAY_AGAINST", " LOOKING_FORWARD_TO", " WILL_PLAY_AGAINST", " WILL_PLAY_AGAINST", " 'HEAD_OF'", " OPPOSING_TEAMS", " SCORED_AGAINST", " 'IDENTICAL'", " LEADS_BY", " LEADS_AT. Quadruple label for clarity: LEADS_AT", " OPPONENT", " BEAT\n\n Explanation:\n The text describes a basketball game between the", " SPORTS_TEAM_WON_GAME", " LEADS_AT. After a difficult first half, the Falcons led Creek by ", " SELF_REFERENCE", " PUT_AWAY_IN", " OPPOSING_TEAMS", " BACK_IN_TIMES", " SPORTS_TEAM_NAME_OF\n\n Explanation:\n ", " PLAYER_OF\n or\n MEMBER_OF\n or\n ", " HAS_PROPERTY \n\n Explanation:\n The text mentions that", " PLAYED_FOR", " LEADS_TO\n\n Explanation:\n The text describes a basketball", " SCORED_FOR", " WILL_PLAY_AGAINST", " DEFEATED", " DEFEATED", " WILL_PLAY_AGAINST", " EXCITED_ABOUT", " DEFEATED", " FRINGE_ENTITY_WILL_PLAY_AGAINST_HEAD_ENT" ]

[ [ "0", "2", "ORG", "Lake Trumps" ], [ "2", "3", "ORG", "Friendswood" ], [ "3", "4", "CARDINAL", "68" ], [ "22", "26", "ORG", "the Clear Lake Falcons" ], [ "28", "29", "CARDINAL", "11" ], [ "34", "35", "ORDINAL", "first" ], [ "38", "39", "ORG", "Mustangs" ], [ "44", "45", "CARDINAL", "30" ], [ "53", "54", "CARDINAL", "49" ], [ "57", "58", "CARDINAL", "three" ], [ "60", "61", "ORG", "Falcons" ], [ "66", "67", "ORDINAL", "fourth" ], [ "85", "86", "ORG", "Friendswood" ], [ "91", "92", "DATE", "years" ], [ "118", "119", "ORG", "Lake" ], [ "119", "121", "PERSON", "Ajare Sanni" ], [ "122", "123", "CARDINAL", "25" ], [ "124", "126", "PERSON", "Jere Maldonado" ], [ "127", "128", "CARDINAL", "20" ], [ "130", "132", "PERSON", "Riley Abercrombie" ], [ "133", "134", "CARDINAL", "14" ], [ "139", "140", "ORG", "Creek" ], [ "143", "144", "ORG", "Dickinson" ], [ "144", "145", "CARDINAL", "79" ], [ "150", "151", "DATE", "Friday" ], [ "152", "153", "ORG", "Creek" ], [ "156", "157", "ORG", "Wildcats" ], [ "162", "163", "ORG", "Falcons" ] ]

[ "Meaning:beautiful to see\nBelvedere as a boy's name is of Italian origin, and the meaning of Belvedere is \"beautiful to see\".\nNot sure you have the perfect name? Search to add more baby names to your My Favorites list.\nWas this page helpful?\nArticle saved.Go to My Saved Articles\nName added. View Your List" ]

[ [ "Meaning", ":", "beautiful", "to", "see", "\n", "Belvedere", "as", "a", "boy", "'s", "name", "is", "of", "Italian", "origin", ",", "and", "the", "meaning", "of", "Belvedere", "is", "\"", "beautiful", "to", "see", "\"", ".", "\n", "Not", "sure", "you", "have", "the", "perfect", "name", "?", "Search", "to", "add", "more", "baby", "names", "to", "your", "My", "Favorites", "list", ".", "\n", "Was", "this", "page", "helpful", "?", "\n", "Article", "saved", ".", "Go", "to", "My", "Saved", "Articles", "\n", "Name", "added", ".", "View", "Your", "List" ] ]

[ [ { "head": [ "6", "7", "PERSON", "Belvedere" ], "tail": [ "14", "15", "NORP", "Italian" ] } ], [ { "head": [ "6", "7", "PERSON", "Belvedere" ], "tail": [ "21", "22", "WORK_OF_ART", "Belvedere" ] } ], [ { "head": [ "14", "15", "NORP", "Italian" ], "tail": [ "6", "7", "PERSON", "Belvedere" ] } ], [ { "head": [ "21", "22", "WORK_OF_ART", "Belvedere" ], "tail": [ "6", "7", "PERSON", "Belvedere" ] } ] ]

[ " ORIGIN", " NAME_OF\n\n Explanation:\n The text states that Belved", " ORIGIN", " ORIGIN_OF" ]

[ [ "6", "7", "PERSON", "Belvedere" ], [ "14", "15", "NORP", "Italian" ], [ "21", "22", "WORK_OF_ART", "Belvedere" ] ]

[ "Get your TravCon 24 tickets at the Early Bird pricing! Click Here to Get Your Ticket Today!\nIt seems we can’t find what you’re looking for. Perhaps searching can help.\nSign Up for Our Community Newsletter Today\nFirst Name *\nLast Name *\nI would like to receive emails from The Gypsy Nurse!" ]

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[ [ { "head": [ "2", "3", "ORG", "TravCon" ], "tail": [ "17", "18", "DATE", "Today" ] } ], [ { "head": [ "2", "3", "ORG", "TravCon" ], "tail": [ "44", "45", "DATE", "Today" ] } ], [ { "head": [ "2", "3", "ORG", "TravCon" ], "tail": [ "61", "64", "PERSON", "The Gypsy Nurse" ] } ], [ { "head": [ "17", "18", "DATE", "Today" ], "tail": [ "2", "3", "ORG", "TravCon" ] } ], [ { "head": [ "17", "18", "DATE", "Today" ], "tail": [ "61", "64", "PERSON", "The Gypsy Nurse" ] } ], [ { "head": [ "44", "45", "DATE", "Today" ], "tail": [ "2", "3", "ORG", "TravCon" ] } ], [ { "head": [ "44", "45", "DATE", "Today" ], "tail": [ "61", "64", "PERSON", "The Gypsy Nurse" ] } ], [ { "head": [ "61", "64", "PERSON", "The Gypsy Nurse" ], "tail": [ "2", "3", "ORG", "TravCon" ] } ], [ { "head": [ "61", "64", "PERSON", "The Gypsy Nurse" ], "tail": [ "17", "18", "DATE", "Today" ] } ], [ { "head": [ "61", "64", "PERSON", "The Gypsy Nurse" ], "tail": [ "44", "45", "DATE", "Today" ] } ] ]

[ " TICKET_SALE", " SELL_EVENT", " ORGANIZER", " BUYS\n\n Explanation:\n The text mentions that the reader", " SUBSCRIBER", " GETS_TICKET_FROM", " SUBSCRIBER", " ORGANIZER", " SENDS_NEWSLETTER_ON\n\n Explanation:\n ", " SENDS_NEWSLETTER_ON\n\n Explanation:\n " ]

[ [ "2", "3", "ORG", "TravCon" ], [ "17", "18", "DATE", "Today" ], [ "44", "45", "DATE", "Today" ], [ "61", "64", "PERSON", "The Gypsy Nurse" ] ]

[ "Create Your First Project\nStart adding your projects to your portfolio. Click on \"Manage Projects\" to get started\nYou Are Amazing\nThis large accent piece wall features green and blue color blending detail with a reminder that “you are amazing”. This was created in the student commons area at Mill Creek Middle school in Nolensville, Tn." ]

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[ "Chris Soules might have just saved himself from showing his face in court for a while -- he entered a plea of not guilty on paper, instead of in person.\nChris filed a written plea Tuesday, waiving his right to an arraignment in open court. He pleaded not guilty to one charge of leaving the scene of an accident resulting in death.\nChris was arrested in Iowa last month after he left the scene of the fatal crash with a farm tractor. Prosecutors say he bought booze before the crash.\nInteresting delay tactic, but one way or another Soules WILL eventually have to show up in court." ]

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[ " SAME_PERSON", " FILED_ON.", " PLEADED_NOT_GUILTY_TO", " SAME_PERSON", " ARRESTED_IN.", " ARRESTED_BEFORE_DATE", " SAME_AS", " SAME_PERSON", " FILED_ON.", " PLEADED_NOT_GUILTY_TO", " SAME_PERSON", " ARRESTED_IN.", " PREVIOUS_EVENT", " IDENTICAL.", " FILED_PLEA", " FILED_PLEA", " FILED_PLEA", " FILED_IN\n\n Explanation:\n The text states that Chris filed", " FILED_PLEA", " CHARGED_WITH", " CHARGED_WITH", " CHARGED_WITH", " ARRESTED_IN.", " CHARGED_WITH", " SAME_PERSON", " SAME_PERSON", " FILED_ON.", " PLEADED_NOT_GUILTY_TO", " ARRESTED_IN.", " EVENT_PRECEDES_EVENT", " IDENTICAL.", " LOCATION_OF\n or\n ARRESTED_AT\n or", " LOCATION_OF\n or\n ARRESTED_AT\n or", " FILED_ON", " PROVINCE_OF\n or\n LOCATED_IN\n or", " LOCATION_OF.", " ARRESTED_IN_LOCATION", " LOCATION_OF\n or\n ARRESTED_AT\n or", " ARRESTED_PREP_OF\n or\n CAUSED_BY\n", " ARRESTED_PREP_OF\n or\n CAUSED_BY\n", " ARRESTED_PREP_OF\n or\n CAUSED_BY\n", " ARRESTED_IN.", " WAS_ARRESTED", " IDENTICAL.", " IDENTICAL.", " FILED_ON.", " PLEADED_NOT_GUILTY_TO", " IDENTICAL.", " ARRESTED_IN.", " CAUSED_BY" ]

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[ "India, Bangladesh sign MoU for development of Sylhet city\nIndia and Bangladesh has signed MoU(Memorandum of understanding) for the Sustainable development of Sylhet city with Financial Assistance from India.\nIndian High Commissioner to Bangladesh Harsh Vardhan Shringla ,Shah Mhd Additional Secretary of the Economic Relations Division Ministry of Finance and Enamul Habib CEO of Sylhet City corporation has signed the MoU.\nThis is an follow-up for the earlier MoU which was signed in April 2013 by India and Bangladesh for the sustainable development projects in Socio-economic sectors of Bangladesh.\nThe MoU includes three development projects in Sylhet City- construction of 5-storey kindergarten and high school building, 6 storey cleaner colony building and Development of Dhupa Dighipar area" ]

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"tail": [ "130", "132", "GPE", "Dhupa Dighipar" ] } ], [ { "head": [ "2", "3", "GPE", "Bangladesh" ], "tail": [ "0", "1", "GPE", "India" ] } ], [ { "head": [ "2", "3", "GPE", "Bangladesh" ], "tail": [ "8", "9", "GPE", "Sylhet" ] } ], [ { "head": [ "2", "3", "GPE", "Bangladesh" ], "tail": [ "11", "12", "GPE", "India" ] } ], [ { "head": [ "2", "3", "GPE", "Bangladesh" ], "tail": [ "13", "14", "GPE", "Bangladesh" ] } ], [ { "head": [ "2", "3", "GPE", "Bangladesh" ], "tail": [ "25", "26", "GPE", "Sylhet" ] } ], [ { "head": [ "2", "3", "GPE", "Bangladesh" ], "tail": [ "31", "32", "GPE", "India" ] } ], [ { "head": [ "2", "3", "GPE", "Bangladesh" ], "tail": [ "34", "35", "NORP", "Indian" ] } ], [ { "head": [ "2", "3", "GPE", "Bangladesh" ], "tail": [ "38", "39", "GPE", "Bangladesh" ] } ], [ { "head": [ "2", "3", "GPE", "Bangladesh" ], "tail": [ "39", "42", "PERSON", "Harsh Vardhan Shringla" ] } ], [ { "head": [ "2", "3", "GPE", "Bangladesh" ], "tail": [ "43", "45", "PERSON", "Shah Mhd" ] } ], 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[ " COOPERATION", " DEVELOPMENT_ASSISTANCE", " COUNTRY_COUNTRY_AGREEMENT", " COUNTRY_OF_BIRTH_OR_ORIGIN\n\n Ex", " DEVELOPMENT_ASSISTANCE", " COUNTRY_COUNTRY_AGREEMENT", " COUNTRY_OF_ORIGIN", " COUNTRY_OF_BIRTH_OR_ORIGIN\n OR\n", " HEAD_OF\n\n Explanation:\n The text states that Harsh", " SIGNED_BY", " PARTI_OF", " HEAD_OF\n\n Explanation:\n The text states that Enam", " DEVELOPMENT_ASSISTANCE", " SIGNED_MOU_IN_PREVIOUS_YEAR", " COUNTRY_COUNTRY", " COUNTRY_OF_BIRTH # Incorrect\n COUNTRY # In", " COUNTRY_OF_BIRTH # Incorrect\n COUNTRY # In", " FUNDING", " DEVELOPMENT_ASSISTANCE", " FINANCES\n\n Explanation:\n The text states that India", " FINANCES\n\n Explanation:\n The text mentions that", " DEVELOPMENT_OF", " AGREEMENT", " DEVELOPMENT_PROJECT_IN.", " COOPERATION", " COOPERATION", " DEVELOPMENT_PROJECT_IN.", " COUNTRY_OF_ORIGIN_OF_FINANCIAL_SUPPORT", " COUNTRY_OF_ORIGIN", " COUNTRY_CAPITAL_OR_REGION_OF_COUNTRY", " HEAD_OF\n\n Explanation:\n The text states that Harsh", " PARTY_TO\n\n Explanation:\n The text states that 'Sh", " MINISTRY_OF.", " CEO", " DEVELOPMENT_PROJECT_OF", " SIGNED_MOU_IN_THE_PAST", " COUNTRY_OF_ORIGIN_OF_FINANCIAL_SUPPORT", " COUNTRY_CAPITAL_OR_REGION", " COUNTRY_COUNTRY", " DEVELOPMENT_PROJECTS_OF", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_PROJECT_OF\n\n Explanation:\n ", " DEVELOPMENT_OF", " DEVELOPMENT_ASSISTANCE", " COOPERATION", " DEVELOPMENT_ASSISTANCE", " COOPERATION", " DEVELOPMENT_OF", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_ASSISTANCE", " COOPERATION", " SIGNED_BY", " SIGNED_BY", " PARTI_OF", " CEO", " DEVELOPMENT_OF", " PREVIOUS_AGREEMENT", " DEVELOPMENT_ASSISTANCE", " COUNTRY_CAPITAL_OR_REGION_OF\n OR\n CO", " COUNTRY_CAPITAL_OR_REGION_OF_COUNTRY", " DEVELOPMENT_PROJECTS_FOR\n ['Sylhet', '", " LOCATION_IN_LOCATION", " DEVELOPMENT_PROJECT_OF\n\n Entities: \n ", " DEVELOPMENT_PROJECT_COMPONENT", " DEVELOPMENT_OF", " COUNTRY_CAPITAL # This is incorrect, the relation should be COUNTRY", " COOPERATION", " DEVELOPMENT_ASSISTANCE", " COUNTRY_OF_ORIGIN_COUNTRY", " DEVELOPMENT_ASSISTANCE", " COUNTRY_COUNTRY", " COUNTRY_OF_NATIONALITY", " COUNTRY_OF_ORIGIN_COUNTRY", " HEAD_OF\n\n Explanation:\n Harsh Vardhan Sh", " SIGNED_BY", " PARTI_OF \n or\n SUBORDINATE_OF\n or", " HEAD_OF\n\n Explanation:\n The text states that Enam", " DEVELOPMENT_ASSISTANCE", " PREVIOUS_AGREEMENT", " COUNTRY_COUNTRY", " COOPERATION", " COUNTRY_OF_ORIGIN_COUNTRY", " FUNDING", " DEVELOPMENT_ASSISTANCE", " FINANCES\n\n Explanation:\n The text mentions that", " FUNDING", " DEVELOPMENT_OF", " AGREEMENT", " AGREEMENT", " DEVELOPMENT_PROJECT_IN.", " AGREEMENT", " DEVELOPMENT_PROJECT_IN.", " AGREEMENT", " COOPERATION", " COUNTRY_COUNTRY", " HEAD_OF\n\n Explanation:\n The text states that Harsh", " HEAD_OF\n\n Explanation:\n The text states that Shah M", " FUNDING", " CEO", " DEVELOPMENT_PROJECT_OF", " PREVIOUS_AGREEMENT", " AGREEMENT", " COUNTRY_COUNTRY_AGREEMENT", " COUNTRY_COUNTRY", " AGREEMENT", " DEVELOPMENT_ASSISTANCE", " ASSISTS_WITH\n\n Entities: \n [{'head': ['", " AGREEMENT_SIGNED_BY_ORGANIZATIONS\n\n Ex", " DEVELOPMENT_OF", " DEVELOPMENT_ASSISTANCE", " COOPERATION", " DEVELOPMENT_OF", " DEVELOPMENT_ASSISTANCE", " COOPERATION", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_ASSISTANCE", " COOPERATION", " SIGNED_BY", " PARTY_TO\n\n Explanation:\n The text states that Shah M", " PARTI_OF", " HEAD_OF\n\n Explanation:\n Enamul Habib is", " DEVELOPMENT_OF\n\n Explanation:\n The text states", " PREVIOUS_AGREEMENT", " DEVELOPMENT_ASSISTANCE", " COOPERATION", " COOPERATION", " DEVELOPMENT_PROJECTS_FOR\n ['Sylhet', '", " DEVELOPMENT_OF\n\n Explanation:\n The text ment", " DEVELOPMENT_PROJECT_OF\n\n Entities: \n ", " DEVELOPMENT_PROJECT_COMPONENT\n\n Explanation:", " DEVELOPMENT_OF", " COUNTRY_COUNTRY", " COOPERATION", " DEVELOPMENT_ASSISTANCE", " COUNTRY_COUNTRY", " COOPERATION", " DEVELOPMENT_ASSISTANCE", " COUNTRY_OF_NATIONALITY", " COUNTRY_OF_ORIGIN\n OR:\n COUNTRY_", " HEAD_OF\n\n Explanation:\n Harsh Vardhan Sh", " SIGNED_BY", " PARTI_OF\n\n Explanation:\n The text states that \"Ind", " HEAD_OF\n\n Explanation:\n The text states that Enam", " DEVELOPMENT_ASSISTANCE", " PREVIOUS_AGREEMENT", " COUNTRY_COUNTRY", " COOPERATION", " COUNTRY_OF_BIRTH # Incorrect, this is a partnership agreement\n", " FUNDING", " DEVELOPMENT_ASSISTANCE", " FINANCES\n\n Explanation:\n The text states that India", " FUNDING", " DEVELOPMENT_OF", " COUNTRY_OF_ORIGIN", " COOPERATION", " DEVELOPMENT_ASSISTANCE", " COUNTRY_OF_ORIGIN", " COOPERATION", " DEVELOPMENT_ASSISTANCE", " COUNTRY_OF_ORIGIN", " COOPERATION", " HEAD_OF\n\n Explanation:\n The text states that Harsh", " SIGNED_BY", " FUNDING", " SIGNED_BY", " DEVELOPMENT_ASSISTANCE", " COUNTRY_OF_ORIGIN", " COOPERATION", " COOPERATION", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_OF", " COOPERATION", " COUNTRY_CAPITAL_OR_PART_OF_COUNTRY", " DEVELOPMENT_PROJECT_IN.", " COOPERATION", " COUNTRY_COUNTRY", " DEVELOPMENT_OF", " COOPERATION", " COUNTRY_OF_ORIGIN", " HEAD_OF_ORGANIZATION", " SIGNED_BY", " ECONOMIC_ASSISTANCE", " CEO", " DEVELOPMENT_ASSISTANCE", " PREVIOUS_AGREEMENT", " COUNTRY_OF_ORIGIN_OF_FINANCIAL_SUPPORT", " COUNTRY_COUNTRY", " COUNTRY_COUNTRY", " DEVELOPMENT_PROJECT_FOR_AREA", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_ASSISTANCE", " AGREEMENT_SIGNED_BY_ORGANIZATION\n\n Explan", " DEVELOPMENT_OF", " HEAD_OF_STATE_OR_GOVT. This is the correct relation label.", " HEAD_OF_STATE_OR_GOVT\n\n Explanation:\n", " HEAD_OF_GOVT_ORG\n\n Explanation:\n ", " HEAD_OF_STATE_OR_GOVT\n\n Explanation:\n", " HEAD_OF_STATE_OR_GOVT\n\n Explanation:\n", " HEAD_OF_GOVT_ORG\n\n Explanation:\n ", " HEAD_OF_STATE_OR_GOVT\n\n Explanation:\n", " HEAD_OF\n\n Explanation:\n Harsh Vardhan Sh", " HEAD_OF_STATE_OR_GOVT\n\n Explanation:\n", " SIGNED_BY", " SIGNED_BY", " SIGNED_BY", " HEAD_OF_ORGANIZATION", " SIGNED_MOU_IN_THE_PAST", " HEAD_OF_STATE_OR_GOVT\n\n Explanation:\n", " HEAD_OF_STATE_OR_GOVT\n\n Explanation:\n", " HEAD_OF_STATE_OR_GOVT\n\n Explanation:\n", " HEAD_OF_ORGANIZATION\n\n Explanation:\n ", " HEAD_OF_ORGANIZATION", " HEAD_OF\n\n Entities: \n [{'head': ['1", " AGENT_OF\n\n Explanation:\n Harsh Vardhan Sh", " DEVELOPMENT_OF", " PARTI_OF\n\n Explanation:\n The text mentions that '", " COUNTRY_CAPITAL_OR_GOVERNMENT_ENTITY", " HEAD_OF_GOVERNMENT_ORGANIZATION\n\n Ex", " PARTY_TO_AGREEMENT", " PARTI_OF", " GOVERNMENT_OF_HEAD_ADMINISTERS_MOU_WITH_", " PARTY_TO\n\n Explanation:\n The text states that 'Sh", " HEAD_OF\n\n Explanation:\n The text states that 'Sh", " PARTY_TO\n\n Explanation:\n The text states that Shah M", " SIGNED_BY", " 'SIGNED_BY'", " SIGNED_BY", " HEAD_OF\n\n Explanation:\n The text states that Shah M", " SIGNED_MOU_IN_THE_PAST", " PARTY_TO\n\n Explanation:\n The text states that 'Sh", " PARTI_OF", " PARTI_OF", " AGREEMENT_SIGNED_BY_ORGANIZATIONS", " HEAD_OF\n\n Explanation:\n The text states that Shah M", " CEO", " BUILDS\n\n Explanation:\n The text states that Shah Mhd", " DEVELOPMENT_OF", " FINANCIAL_ASSISTANCE_FROM", " MINISTRY_OF\n This is the correct answer. The head entity is the", " FINANCIAL_ASSISTANCE_FROM", " FINANCIAL_ASSISTANCE_FROM", " MINISTRY_OF\n ORGANIZATION_OF\n FIN", " FINANCIAL_ASSISTANCE_RECIPIENT", " FINANCIAL_ASSISTANCE_FROM", " FUNDING.", " MINISTRY_OF\n This is the correct answer. The head entity is the", " HEAD_OF\n\n Explanation:\n The text states that Harsh", " MINISTRY_OF_FINANCE_EMPLOYEE", " HEAD_OF\n\n Explanation:\n The text states that 'Sh", " FINANCIAL_ASSISTANCE_RECIPIENT", " AGREEMENT_SIGNED_ON_DATE", " FINANCIAL_ASSISTANCE_FROM", " MINISTRY_OF\n This is the correct answer. The relation is 'MIN", " MINISTRY_OF\n ORGANIZATION_OF\n FIN", " FUNDING", " FUNDING", " MINISTRY_OF\n\n Explanation:\n The text mentions", " FUNDING", " DEVELOPMENT_AREA", " CEOSignsMoUWithCountry", " CEO_OF", " CEO_OF", " CEOSignsMoUWithCountry", " CEO_OF", " CEO_OF", " CEOSIGNMOU_WITH_COUNTRY", " CEO\n\n Explanation:\n Enamul Habib is the CEO of", " CEO_OF", " SIGNED_BY", " CO-SIGNED", " HEAD_OF\n\n Explanation:\n Enamul Habib is", " CEO_OF", " SIGNED_MOU_PREVIOUSLY", " CEO\n\n Explanation:\n Enamul Habib is the CEO of", " CEO_OF", " CEO_OF", " HEAD_OF\n\n Explanation:\n Enamul Habib is", " CEO_OF", " CEO", " HEAD_OF\n\n Explanation:\n Enamul Habib is", " DEVELOPMENT_OF", " FINANCIAL_ASSISTANCE", " DEVELOPMENT_ASSISTANCE", " LOCATION_IN_LOCATION", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_ASSISTANCE", " PART_OF", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_ASSISTANCE", " SIGNED_BY", " HEAD_OF\n\n Explanation:\n The text states that Shah M", " FUNDING", " CEO", " PREVIOUS_AGREEMENT", " FINANCIAL_ASSISTANCE", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_PROJECTS_FOR\n or\n NUM_", " DEVELOPMENT_OF\n\n Explanation:\n The text ment", " DEVELOPMENT_PROJECT_COMPONENT_OF\n Or\n ", " DEVELOPMENT_PROJECT_COMPONENT", " DEVELOPMENT_OF", " SIGNED_MOU_PREVIOUSLY", " AGREED_IN_PREVIOUS_EVENT", " AGREEMENT_SIGNED_AT_LOCATION", " SIGNED_MOU_PREVIOUSLY", " AGREED_IN_PREVIOUS_YEARS", " AGREEMENT_SIGNED_AT_LOCATION", " SIGNED_MOU_PREVIOUSLY", " AGREED_IN_PREVIOUS_EVENT", " SIGNED_BY", " SIGNED_MOU_BY", " AGREEMENT", " SIGNED_MOU_BY_PERSON", " AGREEMENT_SIGNED", " SIGNED_MOU_WITH", " AGREED_IN_PREVIOUS_EVENT", " AGREED_IN_PREVIOUS_DATE", " AGREEMENT_SIGNED_AT_LOCATION", " DEVELOPMENT_PROJECT_OF", " COUNTRY_CAPITAL # This is not a valid relation label, but it is", " COOPERATION", " DEVELOPMENT_ASSISTANCE", " COUNTRY_COUNTRY", " COUNTRY_OF_BIRTH_OR_ORIGIN\n\n Ex", " DEVELOPMENT_ASSISTANCE", " COUNTRY_COUNTRY", " COUNTRY_OF_NATIONALITY", " COOPERATION", " HEAD_OF\n\n Explanation:\n Harsh Vardhan Sh", " SIGNED_BY", " PARTI_OF \n or\n SUBORDINATE_OF\n or", " HEAD_OF\n\n Explanation:\n The text states that Enam", " DEVELOPMENT_ASSISTANCE", " PREVIOUS_AGREEMENT", " COUNTRY_OF_ORIGIN\n OR:\n COUNTRY_", " COUNTRY_OF_ORIGIN\n or\n COUNTRY_WITH", " FUNDING", " DEVELOPMENT_ASSISTANCE", " FINANCES\n\n Explanation:\n The text mentions that", " FUNDING", " DEVELOPMENT_OF", " COOPERATION", " COOPERATION", " DEVELOPMENT_PROJECT_IN.", " COOPERATION", " COUNTRY_COUNTRY", " DEVELOPMENT_PROJECT_IN.", " COOPERATION", " COOPERATION", " COUNTRY_COUNTRY", " HEAD_OF_GOVERNMENT\n\n Explanation:\n The", " SIGNED_BY", " MINISTRY_OF_FINANCE_OF_BANGLADESH (", " CEO", " DEVELOPMENT_ASSISTANCE", " SIGNED_MOU_IN_DATE", " COOPERATION", " COUNTRY_COUNTRY", " DEVELOPMENT_PROJECTS_FOR\n OR\n FUNDING", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_PROJECT_OF\n\n Entities: \n ", " AGREEMENT_SIGNED_BY_HEAD_ENTITY_WITH_OTHER_", " DEVELOPMENT_OF", " COOPERATION", " COUNTRY_COUNTRY_AGREEMENT", " DEVELOPMENT_PROJECT_IN.", " COUNTRY_OF_ORIGIN_OF_FINANCIAL_SUPPORT", " COUNTRY_COUNTRY_AGREEMENT", " DEVELOPMENT_PROJECT_IN.", " COOPERATION", " COUNTRY_OF_ORIGIN", " COUNTRY_COUNTRY", " HEAD_OF_ORGANIZATION", " SIGNED_BY", " FUNDING.", " CEO", " DEVELOPMENT_ASSISTANCE", " PREVIOUS_AGREEMENT", " COUNTRY_OF_ORIGIN_OF_ENTITY", " COUNTRY_COUNTRY", " AGREEMENT", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_PROJECT_OF\n\n Entities: \n ", " BUILDS\n\n Explanation:\n The text states that Bangladesh and", " DEVELOPMENT_OF", " DEVELOPMENT_PROJECTS", " DEVELOPMENT_PROJECT_FOR_GPE", " DEVELOPMENT_PROJECTS_IN_AREA", " DEVELOPMENT_PROJECT_FOR_LOCATION", " DEVELOPMENT_PROJECTS_IN_REGION", " DEVELOPMENT_PROJECTS_IN_AREA", " DEVELOPMENT_PROJECT_OF", " DEVELOPMENT_PROJECT_FOR_GPE", " SIGNED_BY", " DEVELOPMENT_PROJECT_HEAD\n\n Explanation:\n ", " FINANCIAL_ASSISTANCE", " HEAD_OF\n\n Explanation:\n Enamul Habib is", " DEVELOPMENT_PROJECTS_ON\n\n Explanation:\n", " DEVELOPMENT_PROJECTS", " DEVELOPMENT_PROJECTS_IN_REGION", " DEVELOPMENT_PROJECT_FOR_GPE", " DEVELOPMENT_PROJECTS_IN_REGION", " DEVELOPMENT_OF", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_ASSISTANCE", " LOCATION_IN_LOCATION", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_ASSISTANCE", " LOCATION_IN_LOCATION", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_ASSISTANCE", " SIGNED_BY", " HEAD_OF\n\n Explanation:\n The text states that Shah M", " FUNDING.", " HEAD_OF\n\n Explanation:\n Enamul Habib is", " SAME_AS", " PREVIOUS_AGREEMENT", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_PROJECTS_FOR\n ['Sylhet City-", " CONSTRUCTION_PROJECT_OF\n\n Entities: \n [{'", " CONSTRUCTION_PROJECT_COMPONENT\n\n Explanation:\n ", " DEVELOPMENT_OF", " COUNTRY_OF_ORIGIN", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_PROJECT_IN.", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_PROJECT_IN.", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_ASSISTANCE", " SIGNED_BY", " SIGNED_BY", " PARTI_OF", " CEO", " DEVELOPMENT_PROJECT_OF", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_PROJECT_OF", " DEVELOPMENT_OF", " FINANCED_BY", " BUILDS_ON\n\n Explanation:\n The text mentions that", " CONSTRUCTION_PROJECT_FOR_LOCATION", " FINANCED_BY", " BUILDS_ON\n\n Explanation:\n The text mentions that", " CONSTRUCTION_PROJECT_FOR_LOCATION", " FINANCED_BY", " BUILDS_ON\n\n Explanation:\n The text mentions that", " SIGNED_BY", " CONSTRUCTION_PROJECT_HEAD\n\n Explanation:\n The text", " FINANCES.\n\n Explanation:\n The text mentions", " BUILDS\n\n Explanation:\n The text mentions that Enam", " CONSTRUCTION_PROJECT_OF", " FINANCED_BY", " BUILDS_ON\n\n Explanation:\n The text mentions that", " BUILDS\n\n Explanation:\n The text states that India is building", " CONSTRUCTION_PROJECT_OF", " DEVELOPMENT_OF", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_AREA_OF", " DEVELOPMENT_OF", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_OF", " DEVELOPMENT_ASSISTED_BY", " DEVELOPMENT_AREA_OF", " DEVELOPMENT_AREA_OF", " HEAD_OF_ORGANIZATION", " DEVELOPMENT_OF\n\n Explanation:\n The text ment", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_OF\n\n Explanation:\n The text ment", " DEVELOPMENT_OF", " PREVIOUS_EVENT_OF", " DEVELOPMENT_ASSISTANCE", " DEVELOPMENT_OF.", " DEVELOPMENT_OF.", " DEVELOPMENT_PROJECT_OF\n ['Dhupa Digh", " DEVELOPMENT_OF", " DEVELOPMENT_OF", " DEVELOPMENT_PROJECT_OF\n\n Explanation:\n " ]

[ [ "0", "1", "GPE", "India" ], [ "2", "3", "GPE", "Bangladesh" ], [ "8", "9", "GPE", "Sylhet" ], [ "11", "12", "GPE", "India" ], [ "13", "14", "GPE", "Bangladesh" ], [ "25", "26", "GPE", "Sylhet" ], [ "31", "32", "GPE", "India" ], [ "34", "35", "NORP", "Indian" ], [ "38", "39", "GPE", "Bangladesh" ], [ "39", "42", "PERSON", "Harsh Vardhan Shringla" ], [ "43", "45", "PERSON", "Shah Mhd" ], [ "48", "55", "ORG", "the Economic Relations Division Ministry of Finance" ], [ "56", "58", "PERSON", "Enamul Habib" ], [ "60", "62", "GPE", "Sylhet City" ], [ "82", "84", "DATE", "April 2013" ], [ "85", "86", "GPE", "India" ], [ "87", "88", "GPE", "Bangladesh" ], [ "99", "100", "GPE", "Bangladesh" ], [ "105", "106", "CARDINAL", "three" ], [ "109", "111", "GPE", "Sylhet City-" ], [ "113", "114", "CARDINAL", "5" ], [ "122", "124", "QUANTITY", "6 storey" ], [ "130", "132", "GPE", "Dhupa Dighipar" ] ]

[ "Sensei Shuzo Imai has achieved the 8th dan of Wado Ryu in Germany and has more than 50 years karate experience\n- 1945: Born in Aomori/Japan\n- 1953: Judo\n- 1961: Kyudo\n- 1964: Karate\n- 1977: Aikido\nShuzo Imai Sensei was a student and co-trainer on the great courses of Teruo Kono. Shuzo Imai is a official instructor of Wado-Kai in Japan JKF (Japan Karate Federation), a State-A judge of the DKV (German Karate Federation) and of the regional karate association in NRW.\nIn Wado-Ryu Karate Club Dusseldorf we are lucky with Sensei Shuzo Imai, one of the best and highest graded karate teacher and the students of Germany Teruo Kono, as a coach to have." ]

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[ [ { "head": [ "0", "3", "PERSON", "Sensei Shuzo Imai" ], "tail": [ "6", "7", "ORDINAL", "8th" ] } ], [ { "head": [ "0", "3", "PERSON", "Sensei Shuzo Imai" ], "tail": [ "9", "11", "PERSON", "Wado Ryu" ] } ], [ { "head": [ "0", "3", "PERSON", "Sensei Shuzo Imai" ], "tail": [ "12", "13", "GPE", "Germany" ] } ], [ { "head": [ "0", "3", "PERSON", "Sensei Shuzo Imai" ], "tail": [ "23", "24", "DATE", "1945" ] } ], [ { "head": [ "0", "3", "PERSON", "Sensei Shuzo Imai" ], "tail": [ "27", "29", "GPE", "Aomori/" ] } ], [ { "head": [ "0", "3", "PERSON", "Sensei Shuzo Imai" ], "tail": [ "32", "33", "DATE", "1953" ] } ], [ { "head": [ "0", "3", "PERSON", "Sensei Shuzo Imai" ], "tail": [ "37", "38", "DATE", "1961" ] } ], [ { "head": [ "0", "3", "PERSON", "Sensei Shuzo Imai" ], "tail": [ "42", "43", "DATE", "1964" ] } ], [ { "head": [ "0", "3", "PERSON", "Sensei Shuzo Imai" ], "tail": [ "47", "48", "DATE", "1977" ] } ], [ { "head": [ "0", "3", "PERSON", "Sensei Shuzo Imai" ], "tail": [ "51", "54", 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"112", "117", "ORG", "Wado-Ryu Karate Club" ], "tail": [ "66", "68", "PERSON", "Teruo Kono" ] } ], [ { "head": [ "112", "117", "ORG", "Wado-Ryu Karate Club" ], "tail": [ "69", "71", "PERSON", "Shuzo Imai" ] } ], [ { "head": [ "112", "117", "ORG", "Wado-Ryu Karate Club" ], "tail": [ "76", "79", "ORG", "Wado-Kai" ] } ], [ { "head": [ "112", "117", "ORG", "Wado-Ryu Karate Club" ], "tail": [ "80", "81", "GPE", "Japan" ] } ], [ { "head": [ "112", "117", "ORG", "Wado-Ryu Karate Club" ], "tail": [ "81", "82", "ORG", "JKF" ] } ], [ { "head": [ "112", "117", "ORG", "Wado-Ryu Karate Club" ], "tail": [ "83", "86", "ORG", "Japan Karate Federation" ] } ], [ { "head": [ "112", "117", "ORG", "Wado-Ryu Karate Club" ], "tail": [ "89", "92", "ORG", "State-A" ] } ], [ { "head": [ "112", "117", "ORG", "Wado-Ryu Karate Club" ], "tail": [ "95", "96", "ORG", "DKV" ] } ], [ { "head": [ "112", "117", "ORG", "Wado-Ryu Karate Club" ], "tail": [ "97", "100", "ORG", "German Karate Federation" ] } ], [ { "head": [ 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[ "23", "24", "DATE", "1945" ] } ], [ { "head": [ "117", "118", "GPE", "Dusseldorf" ], "tail": [ "27", "29", "GPE", "Aomori/" ] } ], [ { "head": [ "117", "118", "GPE", "Dusseldorf" ], "tail": [ "32", "33", "DATE", "1953" ] } ], [ { "head": [ "117", "118", "GPE", "Dusseldorf" ], "tail": [ "37", "38", "DATE", "1961" ] } ], [ { "head": [ "117", "118", "GPE", "Dusseldorf" ], "tail": [ "42", "43", "DATE", "1964" ] } ], [ { "head": [ "117", "118", "GPE", "Dusseldorf" ], "tail": [ "47", "48", "DATE", "1977" ] } ], [ { "head": [ "117", "118", "GPE", "Dusseldorf" ], "tail": [ "51", "54", "PERSON", "Shuzo Imai Sensei" ] } ], [ { "head": [ "117", "118", "GPE", "Dusseldorf" ], "tail": [ "66", "68", "PERSON", "Teruo Kono" ] } ], [ { "head": [ "117", "118", "GPE", "Dusseldorf" ], "tail": [ "69", "71", "PERSON", "Shuzo Imai" ] } ], [ { "head": [ "117", "118", "GPE", "Dusseldorf" ], "tail": [ "76", "79", "ORG", "Wado-Kai" ] } ], [ { "head": [ "117", "118", "GPE", "Dusseldorf" ], "tail": [ "80", "81", 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"140", "GPE", "Germany" ], "tail": [ "140", "142", "PERSON", "Teruo Kono" ] } ], [ { "head": [ "140", "142", "PERSON", "Teruo Kono" ], "tail": [ "0", "3", "PERSON", "Sensei Shuzo Imai" ] } ], [ { "head": [ "140", "142", "PERSON", "Teruo Kono" ], "tail": [ "6", "7", "ORDINAL", "8th" ] } ], [ { "head": [ "140", "142", "PERSON", "Teruo Kono" ], "tail": [ "9", "11", "PERSON", "Wado Ryu" ] } ], [ { "head": [ "140", "142", "PERSON", "Teruo Kono" ], "tail": [ "12", "13", "GPE", "Germany" ] } ], [ { "head": [ "140", "142", "PERSON", "Teruo Kono" ], "tail": [ "23", "24", "DATE", "1945" ] } ], [ { "head": [ "140", "142", "PERSON", "Teruo Kono" ], "tail": [ "27", "29", "GPE", "Aomori/" ] } ], [ { "head": [ "140", "142", "PERSON", "Teruo Kono" ], "tail": [ "32", "33", "DATE", "1953" ] } ], [ { "head": [ "140", "142", "PERSON", "Teruo Kono" ], "tail": [ "37", "38", "DATE", "1961" ] } ], [ { "head": [ "140", "142", "PERSON", "Teruo Kono" ], "tail": [ "42", "43", "DATE", "1964" ] } ], [ { "head": [ "140", "142", "PERSON", "Teruo Kono" ], "tail": [ "47", "48", "DATE", "1977" ] } ], [ { "head": [ "140", "142", "PERSON", "Teruo Kono" ], "tail": [ "51", "54", "PERSON", "Shuzo Imai Sensei" ] } ], [ { "head": [ "140", "142", "PERSON", "Teruo Kono" ], "tail": [ "66", "68", "PERSON", "Teruo Kono" ] } ], [ { "head": [ "140", "142", "PERSON", "Teruo Kono" ], "tail": [ "69", "71", "PERSON", "Shuzo Imai" ] } ], [ { "head": [ "140", "142", "PERSON", "Teruo Kono" ], "tail": [ "76", "79", "ORG", "Wado-Kai" ] } ], [ { "head": [ "140", "142", "PERSON", "Teruo Kono" ], "tail": [ "80", "81", "GPE", "Japan" ] } ], [ { "head": [ "140", "142", "PERSON", "Teruo Kono" ], "tail": [ "81", "82", "ORG", "JKF" ] } ], [ { "head": [ "140", "142", "PERSON", "Teruo Kono" ], "tail": [ "83", "86", "ORG", "Japan Karate Federation" ] } ], [ { "head": [ "140", "142", "PERSON", "Teruo Kono" ], "tail": [ "89", "92", "ORG", "State-A" ] } ], [ { "head": [ "140", "142", "PERSON", "Teruo Kono" ], "tail": [ "95", "96", "ORG", "DKV" ] } ], [ { "head": [ "140", "142", "PERSON", "Teruo Kono" ], "tail": [ "97", "100", "ORG", "German Karate Federation" ] } ], [ { "head": [ "140", "142", "PERSON", "Teruo Kono" ], "tail": [ "108", "109", "GPE", "NRW" ] } ], [ { "head": [ "140", "142", "PERSON", "Teruo Kono" ], "tail": [ "112", "117", "ORG", "Wado-Ryu Karate Club" ] } ], [ { "head": [ "140", "142", "PERSON", "Teruo Kono" ], "tail": [ "117", "118", "GPE", "Dusseldorf" ] } ], [ { "head": [ "140", "142", "PERSON", "Teruo Kono" ], "tail": [ "123", "125", "PERSON", "Shuzo Imai" ] } ], [ { "head": [ "140", "142", "PERSON", "Teruo Kono" ], "tail": [ "139", "140", "GPE", "Germany" ] } ] ]

[ " ACHIEVED_DAN", " HAS_DAN_RANK", " LIVES_IN", " BORN_IN.", " BORN_IN", " STARTED\n\n Explanation:\n The text states that Sensei", " STARTED_PRACTICING", " STARTED_PRACTICING", " STARTED_TRAINING", " SAME_PERSON", " COACH", " SAME_PERSON", " OFFICIAL_INSTRUCTOR", " BORN_IN", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_OF", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " MEMBER_OF", " TEACHES_AT", " SAME_PERSON", " LIVES_IN", " COACH", " ACHIEVED_DAN", " ACHIEVED_DAN", " ACHIEVED_DAN_IN", " BORN_IN.", " HAS_RANK", " HAS_TRAINED", " HAS_RANK", " HAS_DAN_RANK", " ACHIEVED_DAN_IN", " MEMBER_OF", " MEMBER_OF", " OFFICIAL_OF", " OFFICIAL_INSTRUCTOR", " HAS_AFFILIATION", " OFFICIAL_INSTRUCTOR", " HEAD_OF\n or\n INSTRUCTOR_OF\n or\n ", " TEACHER_OF", " HAS_RANK", " ACHIEVED_DAN_IN", " COACHED_BY", " MEMBER_OF", " ACHIEVED_DAN", " ACHIEVED_IN", " BORN_IN.", " BORN_IN.", " STARTED\n\n Explanation:\n The text states that Sensei", " STARTED_PRACTICING", " STARTED_PRACTICING", " STARTED_TRAINING", " HAS_GRADE_IN", " COACHED_BY", " HEAD_OF\n or\n INSTRUCTOR_OF\n or\n ", " MEMBER_OF", " ACHIEVED_IN", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_OF", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " INSTRUCTOR", " TEACHES_AT", " HEAD_OF\n Or\n INSTRUCTOR_OF\n Or\n ", " ACHIEVED_IN", " COACH", " LOCATION_OF\n OR\n TEACHES\n OR (for a", " ACHIEVED_DAN", " LOCATION_OF\n Or\n TEACHES\n Or\n HE", " BORN_IN.", " BORN_IN.", " STARTED\n\n Explanation:\n The text states that Sensei", " STARTED_TRAINING_YEARS_AGO", " STARTED_TRAINING", " LOCATION_AT\n or\n TRAINED_AT\n or", " LOCATION_OF\n or\n TEACHES\n or\n HE", " COACH", " TEACHES_IN", " MEMBER_OF", " LIVED_IN.", " OFFICIAL_INSTRUCTOR", " MEMBER_OF", " OFFICIAL_OF", " OFFICIAL_MEMBER", " OFFICIAL_MEMBER", " OFFICIAL_INSTRUCTOR", " LOCATION_OF\n or\n HEAD_OF\n or\n ", " LOCATION_IN_REGION", " LOCATION_OF\n Or\n TEACHER_OF\n Or\n", " LOCATION_IN_REGION", " COACH", " BORN_IN.", " BORN_IN.\n\n Entities: \n [{'head':", " BORN_IN.", " BORN_IN.", " BORN_IN.", " STUDENT_OF", " BORN_IN.", " FOUNDER", " BORN_IN", " MEMBER_OF", " MEMBER_OF", " FOUNDER_OR_MEMBER", " OFFICIAL_MEMBER", " OFFICIAL_MEMBER", " IN_REGION", " BORN_IN", " BORN_IN", " BORN_IN.", " BORN_IN", " STUDENT_OF", " BORN_IN.", " BORN_IN\n OR:\n NO_RELATION", " BORN_IN", " BORN_IN.", " BORN_IN", " BORN_IN.", " STARTED\n\n Explanation:\n The text states that Sensei", " BORN_IN.", " BORN_IN.", " BORN_IN", " STUDENT_OF", " BORN_IN", " BORN_IN", " BORN_IN.", " OFFICIAL_MEMBER", " MEMBER_OF", " LOCATION_OF\n\n Explanation:\n The text states that S", " OFFICIAL_MEMBER", " OFFICIAL_MEMBER", " LOCATION_OF\n Or\n NO_RELATION (if 'Aom", " BORN_IN", " ORIGIN_FROM", " BORN_IN", " BORN_IN.", " STUDENT_OF", " STARTED\n\n Explanation:\n The text states that Sensei", " STARTED_TRAINING", " TRAINED_IN", " BORN_IN", " STARTED_TRAINING", " COACHED_BY", " STARTED\n\n Explanation:\n The text states that Shuzo", " MEMBER_OF", " TRAINED_IN", " MEMBER_OF", " MEMBER_OF", " JUDGING_ORGANIZATION", " TRAINED_BY", " MEMBER_OF", " COACHED_IN", " TAUGHT_AT", " TRAINED_AT", " STARTED\n\n Explanation:\n The text states that Shuzo", " TRAINED_IN", " COACHED_BY", " STARTED_PRACTICING", " STARTED_PRACTICING", " STARTED_IN", " BORN_IN", " STARTED_PRACTICING", " COACHED_BY", " STARTED_PRACTICING", " MEMBER_OF", " STARTED_IN", " MEMBER_OF", " MEMBER_OF", " TRAINED_BY", " TRAINED_BY", " OFFICIAL_INSTRUCTOR", " TRAINS_IN\n\n Explanation:\n The text states that \"", " STUDIED_AT", " TEACHES_AT", " STARTED_PRACTICING", " STARTED_IN", " COACHED_BY", " STARTED_PRACTICING", " STARTED_PRACTICING", " STARTED_IN", " BORN_IN.", " STARTED_PRACTICING", " COACHED_BY", " STARTED_PRACTICING", " MEMBER_OF", " STARTED_IN", " MEMBER_OF", " MEMBER_OF", " OFFICIAL_OF", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " TEACHES_IN", " STUDIED_AT", " TEACHES_AT", " STARTED_PRACTICING", " STARTED_IN", " COACHED_BY", " STUDIED_UNDER", " TAUGHT_BY", " LIVED_IN", " BORN_IN.", " STUDIED_UNDER", " COACHED_BY", " STUDIED_UNDER", " MEMBER_OF", " TRAINED_IN", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_OF", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " IN_REGION", " INSTRUCTOR", " LOCATION_OF\n or\n TEACHES_AT\n or\n", " STUDIED_UNDER", " TRAINS_IN", " COACH", " SELF_REFERENCE", " ACHIEVED_DAN", " HAS_DAN_RANK", " LIVES_IN", " BORN_IN.", " BORN_IN", " STARTED\n\n Explanation:\n The text states that Shuzo", " STARTED_PRACTICING", " STARTED_PRACTICING", " STARTED_TRAINING", " COACH", " SELF_REFERENCE", " MEMBER_OF", " BORN_IN", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_OF", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " MEMBER_OF", " TEACHES_AT", " SELF_REFERENCE", " LIVES_IN", " COACH", " COACH", " COACHED_BY", " COACHED_BY", " COACHES_IN\n\n Explanation:\n Teruo Kono is", " Born_In.", " ORIGIN_FROM", " COACHED_IN_YEAR", " COACHED_AT.", " COACHED_AT.", " COACHED_AT.", " COACH", " COACH", " COACH", " COUNTRY_OF_ORIGIN", " COACHED_BY", " OFFICIAL_OF", " COACH_OF", " COACH_OF", " COACH_OF", " COACH_OF", " COACHES", " COACHES_AT.", " COACH", " COACHES_IN\n\n Explanation:\n Teruo Kono is", " COACH", " SELF_REFERENCE", " ACHIEVED_DAN", " HAS_DAN_RANK", " LIVES_IN", " BORN_IN.", " BORN_IN", " STARTED\n\n Explanation:\n The text states that Shuzo", " STARTED_PRACTICING", " STARTED_PRACTICING", " STARTED_TRAINING", " SAME_PERSON", " COACH", " OFFICIAL_INSTRUCTOR", " BORN_IN", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_OF", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " MEMBER_OF", " TEACHES_AT", " SAME_PERSON", " LIVES_IN", " COACH", " OFFICIAL_INSTRUCTOR", " ACHIEVED_DAN", " MEMBER_OF", " OFFICIAL_INSTRUCTOR", " BORN_IN", " BORN_IN.", " TRAINED_IN", " STARTED_TRAINING", " STARTED_TRAINING", " TEACHING_AT", " OFFICIAL_INSTRUCTOR", " COACH", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " MEMBER_OF", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " MEMBER_OF", " LOCATED_IN", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " COACH", " BORN_IN", " ACHIEVED_DAN", " ACHIEVED_DAN_IN", " MOVED_TO", " BORN_IN", " BORN_IN.", " STARTED\n\n Explanation:\n The text states that Sensei", " STARTED_TRAINING", " STARTED_TRAINING", " STARTED_TRAINING", " BORN_IN", " COACHED_BY", " BORN_IN.", " MEMBER_OF", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_OF", " OFFICIAL_MEMBER", " OFFICIAL_MEMBER", " OFFICIAL_INSTRUCTOR", " TEACHES_AT", " TRAINS_IN\n\n Explanation:\n The text states that '", " BORN_IN", " MOVED_FROM", " COACHED_BY", " OFFICIAL_INSTRUCTOR", " MEMBER_OF", " OFFICIAL_INSTRUCTOR", " MEMBER_OF", " BORN_IN.", " BORN_IN.", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_MEMBER_OF", " MEMBER_OF", " OFFICIAL_OF", " OFFICIAL_MEMBER_OF", " OFFICIAL_MEMBER", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_MEMBER_OF", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " BORN_IN.", " BORN_IN.", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_MEMBER_OF", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_MEMBER_OF", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " JUDGE", " JUDGE", " OFFICIAL_INSTRUCTOR", " OFFICIAL_OF", " BORN_IN.", " BORN_IN", " STARTED_TRAINING", " STARTED_TRAINING", " STARTED_TRAINING", " OFFICIAL_INSTRUCTOR", " JUDGE", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_OF", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_OF", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_OF", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " BORN_IN.", " BORN_IN", " STARTED_TRAINING", " STARTED_TRAINING", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_MEMBER_OF", " OFFICIAL_MEMBER_OF", " OFFICIAL_OF", " OFFICIAL_INSTRUCTOR", " OFFICIAL_OF", " OFFICIAL_INSTRUCTOR", " OFFICIAL_LOCATION", " OFFICIAL_INSTRUCTOR", " OFFICIAL_OF", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_MEMBER_OF", " BORN_IN", " BORN_IN.", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_MEMBER_OF", " OFFICIAL_OF", " OFFICIAL_OF", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_MEMBER_OF", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " LOCATION_IN_REGION", " BORN_IN", " ORIGIN_FROM", " STARTED_TRAINING", " STARTED_TRAINING_IN_YEAR", " STARTED_TRAINING", " LOCATION_OF\n or\n TEACHED_AT\n or\n", " OFFICIAL_INSTRUCTOR", " COACH", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " ORIGIN_FROM", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_OF", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " INSTRUCTOR_OF", " LOCATION_IN_REGION", " OFFICIAL_INSTRUCTOR", " LOCATION_IN_REGION", " COACH", " MEMBER_OF", " HEAD_OF\n Or, if you prefer:\n CLUB_HEAD\n", " CLUB_MEMBER_OF\n ORGANIZATION_HEADS\n ", " LOCATION.IN.ORGANIZATION", " BORN_IN", " BORN_IN", " STARTED_TRAINING_YEARS_AGO", " STARTED_TRAINING", " STARTED_TRAINING", " FOUNDED_BY", " HEAD_OF\n or\n INSTRUCTOR\n or\n MEMBER", " COACH", " HEAD_OF\n or\n MEMBER_OF\n or\n TE", " MEMBER_OF", " BELONGS_TO", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_OF", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " LOCATED_IN", " LOCATION.IN.ORGANIZATION", " HEAD_OF\n Or\n INSTRUCTOR_OF\n Or\n ", " LOCATION.IN.ORGANIZATION", " COACH", " LOCATION_OF\n # This relation indicates that Sensei Shuzo I", " HAS_RANK\n\n Explanation:\n The text states that \"", " LOCATION_OF\n Or\n NO_RELATION\n\n Explan", " LOCATION_IN.", " BORN_IN", " ORIGIN_FROM", " TRAINED_IN.", " TEACHED_AT", " TEACHED_AT", " LOCATION_AT\n or\n HAS_BEEN_AT\n ", " LOCATION_OF\n # This relation indicates that Shuzo Imai S", " COACH", " LOCATION_OF\n # This relation indicates that Shuzo Imai is", " LOCATION_OF\n Or, if you prefer:\n The relation between '", " ORIGIN_FROM", " OFFICIAL_INSTRUCTOR", " INSTRUCTOR_OF", " OFFICIAL_OF", " OFFICIAL_MEMBER", " OFFICIAL_INSTRUCTOR", " LOCATION_IN_REGION", " LOCATION_OF\n Or, if you prefer, you can use the following format", " LOCATION_OF\n # This relation indicates that Shuzo Imai is", " LOCATION_IN.", " COACH", " SELF", " ACHIEVED_DAN", " HAS_DAN_RANK", " LIVES_IN", " BORN_IN.", " BORN_IN", " STARTED\n\n Explanation:\n The text states that Shuzo", " STARTED_PRACTICING", " STARTED_YEARS_AGO", " STARTED_TRAINING", " SAME_AS", " COACH", " SELF_REFERENCE", " MEMBER_OF", " BORN_IN", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_OF", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " OFFICIAL_INSTRUCTOR", " MEMBER_OF", " TEACHES_AT", " LIVES_IN", " COACH", " LOCATION_OF\n OR\n TEACHER_OF\n OR\n", " ACHIEVED_DAN", " LOCATION_OF\n or\n HEAD_OF\n or\n ", " LOCATION_IN_REGION", " BORN_IN.", " BORN_IN.", " STARTED\n\n Explanation:\n The text states that Sensei", " STARTED_TRAINING_IN", " STARTED_TRAINING_IN", " LOCATION_AT_TIME", " LOCATION_OF\n or\n TEACHES_AT\n or\n", " COACH", " LOCATION_OF\n Or\n TEACHER_OF\n Or\n", " MEMBER_OF", " LIVED_IN.\n\n Explanation:\n The text states that", " OFFICIAL_INSTRUCTOR", " OFFICIAL_MEMBER", " OFFICIAL_OF", " OFFICIAL_MEMBER", " OFFICIAL_MEMBER", " OFFICIAL_INSTRUCTOR", " LOCATION_OF\n or\n HEAD_OF\n or\n ", " LOCATION_IN_REGION", " LOCATION_OF\n or\n TEACHES_AT\n or\n", " COACH", " COACH", " COACHED_BY", " COACHED_BY", " COACHES_IN\n\n Explanation:\n Teruo Kono is", " Born_In.", " Born_in.", " COACHED_IN_YEAR", " COACHED_AT.", " COACHED_AT. This is the correct relation label. The head entity is Teruo", " COACHED_IN_YEAR", " COACH", " COACH", " COACH", " COACH", " COUNTRY_OF_ORIGIN", " OFFICIAL_INSTRUCTOR", " OFFICIAL_OF", " COACH_OF", " COACH_OF", " OFFICIAL_OF", " COACH_OF", " COACHES", " COACHES_AT.", " COACH", " COACHES_IN\n\n Explanation:\n Teruo Kono is" ]

[ [ "0", "3", "PERSON", "Sensei Shuzo Imai" ], [ "6", "7", "ORDINAL", "8th" ], [ "9", "11", "PERSON", "Wado Ryu" ], [ "12", "13", "GPE", "Germany" ], [ "23", "24", "DATE", "1945" ], [ "27", "29", "GPE", "Aomori/" ], [ "32", "33", "DATE", "1953" ], [ "37", "38", "DATE", "1961" ], [ "42", "43", "DATE", "1964" ], [ "47", "48", "DATE", "1977" ], [ "51", "54", "PERSON", "Shuzo Imai Sensei" ], [ "66", "68", "PERSON", "Teruo Kono" ], [ "69", "71", "PERSON", "Shuzo Imai" ], [ "76", "79", "ORG", "Wado-Kai" ], [ "80", "81", "GPE", "Japan" ], [ "81", "82", "ORG", "JKF" ], [ "83", "86", "ORG", "Japan Karate Federation" ], [ "89", "92", "ORG", "State-A" ], [ "95", "96", "ORG", "DKV" ], [ "97", "100", "ORG", "German Karate Federation" ], [ "108", "109", "GPE", "NRW" ], [ "112", "117", "ORG", "Wado-Ryu Karate Club" ], [ "117", "118", "GPE", "Dusseldorf" ], [ "123", "125", "PERSON", "Shuzo Imai" ], [ "139", "140", "GPE", "Germany" ], [ "140", "142", "PERSON", "Teruo Kono" ] ]

[ "News & ResearchLatest News\nJuly 20, 2020Capital Constellation’s Adamson Weighs In on Postpandemic Investing\nJuly 20, 2020, The Wall Street Journal - Daniel Adamson is president of Capital Constellation Inc., an investment firm in New York whose members include five institutional investors from North America, Europe and the Middle East. Working with investment adviser Wafra Inc., the firm backs “investor entrepreneurs” with strategic and financial support alongside a stable capital base provided by entities such as the Alaska Permanent Fund Corp., RPMI Railpen in the U.K., the Kuwait Investment Authority, the Third Swedish National Pension Fund and the Public Institution for Social Security of Kuwait. So far, Capital Constellation has partnered with six “next-generation”...\nTo view the full article please Click here." ]

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"126", "ORG", "Capital Constellation" ], "tail": [ "5", "9", "DATE", "July 20, 2020Capital" ] } ], [ { "head": [ "124", "126", "ORG", "Capital Constellation" ], "tail": [ "9", "10", "ORG", "Constellation" ] } ], [ { "head": [ "124", "126", "ORG", "Capital Constellation" ], "tail": [ "11", "12", "PERSON", "Adamson" ] } ], [ { "head": [ "124", "126", "ORG", "Capital Constellation" ], "tail": [ "18", "22", "DATE", "July 20, 2020" ] } ], [ { "head": [ "124", "126", "ORG", "Capital Constellation" ], "tail": [ "23", "27", "ORG", "The Wall Street Journal" ] } ], [ { "head": [ "124", "126", "ORG", "Capital Constellation" ], "tail": [ "28", "30", "PERSON", "Daniel Adamson" ] } ], [ { "head": [ "124", "126", "ORG", "Capital Constellation" ], "tail": [ "33", "36", "ORG", "Capital Constellation Inc." ] } ], [ { "head": [ "124", "126", "ORG", "Capital Constellation" ], "tail": [ "41", "43", "GPE", "New York" ] } ], [ { "head": [ "124", "126", "ORG", "Capital Constellation" ], "tail": [ "46", "47", "CARDINAL", "five" ] } ], [ { "head": [ "124", "126", "ORG", "Capital Constellation" ], "tail": [ "50", "52", "LOC", "North America" ] } ], [ { "head": [ "124", "126", "ORG", "Capital Constellation" ], "tail": [ "53", "54", "LOC", "Europe" ] } ], [ { "head": [ "124", "126", "ORG", "Capital Constellation" ], "tail": [ "55", "58", "LOC", "the Middle East" ] } ], [ { "head": [ "124", "126", "ORG", "Capital Constellation" ], "tail": [ "63", "65", "ORG", "Wafra Inc." ] } ], [ { "head": [ "124", "126", "ORG", "Capital Constellation" ], "tail": [ "88", "93", "ORG", "the Alaska Permanent Fund Corp." ] } ], [ { "head": [ "124", "126", "ORG", "Capital Constellation" ], "tail": [ "94", "96", "ORG", "RPMI Railpen" ] } ], [ { "head": [ "124", "126", "ORG", "Capital Constellation" ], "tail": [ "98", "99", "GPE", "U.K." ] } ], [ { "head": [ "124", "126", "ORG", "Capital Constellation" ], "tail": [ "100", "104", "ORG", "the Kuwait Investment Authority" ] } ], [ { "head": [ "124", "126", "ORG", "Capital Constellation" ], "tail": [ "105", "111", "ORG", "the Third Swedish National Pension Fund" ] } ], [ { "head": [ "124", "126", "ORG", "Capital Constellation" ], "tail": [ "112", "120", "ORG", "the Public Institution for Social Security of Kuwait" ] } ], [ { "head": [ "124", "126", "ORG", "Capital Constellation" ], "tail": [ "129", "130", "CARDINAL", "six" ] } ], [ { "head": [ "129", "130", "CARDINAL", "six" ], "tail": [ "9", "10", "ORG", "Constellation" ] } ], [ { "head": [ "129", "130", "CARDINAL", "six" ], "tail": [ "11", "12", "PERSON", "Adamson" ] } ], [ { "head": [ "129", "130", "CARDINAL", "six" ], "tail": [ "23", "27", "ORG", "The Wall Street Journal" ] } ], [ { "head": [ "129", "130", "CARDINAL", "six" ], "tail": [ "28", "30", "PERSON", "Daniel Adamson" ] } ], [ { "head": [ "129", "130", "CARDINAL", "six" ], "tail": [ "33", "36", "ORG", "Capital Constellation Inc." ] } ], [ { "head": [ "129", "130", "CARDINAL", "six" ], "tail": [ "41", "43", "GPE", "New York" ] } ], [ { "head": [ "129", "130", "CARDINAL", "six" ], "tail": [ "50", "52", "LOC", "North America" ] } ], [ { "head": [ "129", "130", "CARDINAL", "six" ], "tail": [ "53", "54", "LOC", "Europe" ] } ], [ { "head": [ "129", "130", "CARDINAL", "six" ], "tail": [ "55", "58", "LOC", "the Middle East" ] } ], [ { "head": [ "129", "130", "CARDINAL", "six" ], "tail": [ "63", "65", "ORG", "Wafra Inc." ] } ], [ { "head": [ "129", "130", "CARDINAL", "six" ], "tail": [ "88", "93", "ORG", "the Alaska Permanent Fund Corp." ] } ], [ { "head": [ "129", "130", "CARDINAL", "six" ], "tail": [ "94", "96", "ORG", "RPMI Railpen" ] } ], [ { "head": [ "129", "130", "CARDINAL", "six" ], "tail": [ "98", "99", "GPE", "U.K." ] } ], [ { "head": [ "129", "130", "CARDINAL", "six" ], "tail": [ "100", "104", "ORG", "the Kuwait Investment Authority" ] } ], [ { "head": [ "129", "130", "CARDINAL", "six" ], "tail": [ "105", "111", "ORG", "the Third Swedish National Pension Fund" ] } ], [ { "head": [ "129", "130", "CARDINAL", "six" ], "tail": [ "112", "120", "ORG", "the Public Institution for Social Security of Kuwait" ] } ], [ { "head": [ "129", "130", "CARDINAL", "six" ], "tail": [ "124", "126", "ORG", "Capital Constellation" ] } ] ]

[ " BELONGS_TO", " PRESIDENT_OF", " MENTIONED_IN", " PRESIDENT_OF", " ORGANIZATION_OF\n or\n HEAD_OF\n or", " LOCATION_OF\n\n Explanation:\n The text states that Capital", " LOCATION_IN\n\n Explanation:\n The text states that the", " LOCATION_IN\n\n Explanation:\n The text states that the", " INVEST_FROM_LOCATION", " INVESTMENT_ADVISER", " INVESTOR_OF", " INVESTOR", " LOCATION_OF\n or\n HEAD_OF\n or\n ", " INVESTOR_IN.", " INVESTOR_OF", " PROVIDES_CAPITAL", " INSTANCE_OF", " PART_OF\n\n Explanation:\n The text states that \"Capital", " PRESIDENT_OF", " EVENT_DATE", " MENTIONED_IN.", " PRESIDENT_OF", " IS_PART_OF", " LOCATION_OF\n or\n HEADQUARTERS_LOCATION_", " NUM_MEMBERS_OF", " LOCATION_OF\n or\n HEAD_QUARTERS_IN\n", " LOCATION_OF\n or\n HEAD_QUARTERS_LOCATED", " LOCATION_OF\n or\n HEAD_QUARTERS_LOCATED", " INVESTMENT_ADVISOR", " INVESTOR_OF", " INVESTOR", " INVESTOR_FROM", " INVESTOR_OF", " INVESTOR_OF", " PROVIDES_CAPITAL", " IS_PART_OF", " PART_OF\n\n Explanation:\n The text states that Capital Constell", " PRESIDENT_OF\n\n Entities: \n [{'head': ['", " PRESIDENT_OF", " PRESENTED_ON", " PUBLISHED_IN", " IDENTICAL\n\n Or, if the entities are not identical but have a relation:", " PRESIDENT_OF", " LOCATION_OF.", " PRESIDENT_OF\n Or\n HEAD_OF\n\n [{'", " LOCATION_OF\n or\n HEAD_QUARTERS_LOCATED", " INVEST_FROM\n\n Explanation:\n Adamson is a person", " ORIGIN_FROM", " INVESTMENT_ADVISER", " INVESTOR_OF", " INVESTOR", " INVESTOR_FROM", " INVESTOR_OF", " INVESTOR_OF", " PROVIDES_CAPITAL", " PRESIDENT_OF", " PART_OF\n\n Explanation:\n Adamson is the president of Capital", " DATE_OF_EVENT\n\n Entities: \n [{'head':", " DATE_OF_BIRTH_OR_EVENT\n\n Explanation:", " PUBLISHED_IN", " DATE_OF_BIRTH_OR_FOUNDING", " FOUNDATION", " LOCATION.\n\n Entities: \n [{'head': ['Dan", " LOCATION_IN\n\n Entities: \n [{'head': ['", " LOCATION_IN\n\n Explanation:\n The text states that the", " LOCATION_OF\n or\n LOCATED_IN\n\n Ex", " INVESTMENT_ADVISER", " INVESTOR_IN.", " INVESTOR", " LOCATION.COUNTRY.OF_HEADQUARTERS.OF.ORG", " INVESTOR_IN\n\n Explanation:\n The text states that", " INVESTOR_OF", " FUNDER", " EVENT_DATE_OF\n or\n TIMESTAMP_OF\n or (", " PUBLISHED_IN", " MENTIONED_IN.", " PUBLISHED_IN", " PUBLISHED_ON", " PUBLISHED_IN", " MENTIONED_IN.", " PUBLISHES_IN", " PUBLISHED_IN", " MENTIONED_IN\n\n Explanation:\n The text mentions", " MENTIONED_IN\n\n Explanation:\n The text mentions", " MENTIONED_IN\n\n Explanation:\n The text mentions", " MENTIONED_IN.", " MENTIONED_IN\n\n Explanation:\n The text mentions", " MENTIONED_IN.", " MENTIONED_IN.", " MENTIONED_IN.", " MENTIONED_IN.", " MENTIONED_IN\n\n Explanation:\n The text mentions", " MENTIONED_IN", " PUBLISHED_IN", " PRESENTED_ON", " PRESIDENT_OF", " SAME_PERSON", " PRESENTED_ON", " MENTIONED_IN.", " PRESIDENT_OF", " PRESENT_AT. This relation indicates that the head entity (Daniel Adamson)", " PRESIDENT_OF\n Or\n HEAD_OF\n\n [{'", " ORIGIN_FROM", " INVEST_FROM\n\n Explanation:\n Daniel Adamson is an", " ORIGIN_FROM", " INVESTMENT_ADVISER", " INVESTOR_OF", " INVESTOR", " INVESTOR_FROM", " INVESTOR_OF", " INVESTOR_OF", " INVESTOR_OF", " PRESIDENT_OF", " PART_OF\n or\n HAS_SUPPORTED\n or\n H", " INVESTED_ON\n\n Explanation:\n The text states that", " NO_RELATION. The text does not provide enough context to determine a relation between 'Cap", " PRESIDENT_OF", " FOUNDATION\n\n Explanation:\n The text states that Capital Constell", " MENTIONED_IN.", " PRESIDENT_OF", " LOCATION. head = ORG, tail = GPE. Therefore, the relation label", " NUM_MEMBERS", " LOCATED_IN", " INVEST_FROM\n\n Explanation:\n The text states that Capital", " LOCATED_IN", " INVESTMENT_ADVISOR", " INVESTOR_OF", " INVESTOR", " INVESTOR_FROM", " INVESTOR", " INVESTOR", " PROVIDES_CAPITAL", " SELF_REFERENCE", " PART_OF\n\n Explanation:\n The text states that Capital Constell", " LOCATION_OF\n\n Entities: \n [{'head': ['", " LOCATION_OF\n or\n HEADQUARTERS_OF\n ", " PRESIDENT_OF", " LOCATION_OF\n\n Entities: \n [{'head': ['", " MENTIONED_IN.", " PRESIDENT_OF", " LOCATION_OF\n or\n HEADQUARTERS_OF\n ", " LOCATION_OF\n or\n HEADQUARTERS_OF\n ", " LOCATION_OF\n or\n HEAD_QUARTERS_IN\n", " CONTAINS_REGION\n\n Explanation:\n The text states that the", " BASED_IN.", " LOCATION_OF\n or\n HEADQUARTERS_OF\n ", " LOCATION_OF\n or\n HEADQUARTERS_OF\n ", " INVESTOR", " LOCATION_OF\n or\n HEAD_QUARTERS_LOCATED", " PROVIDES_CAPITAL", " PROVIDES_CAPITAL", " PROVIDES_CAPITAL", " LOCATION_OF\n or\n HEADQUARTERS_OF\n ", " LOCATION_OF\n or\n HEAD_QUARTERS_OF\n", " INVESTMENT_FROM\n or\n HAS_MEMBER\n or", " PRESIDES_OVER", " MENTIONED_IN.", " PRESIDENT_OF", " INVESTS_IN", " LOCATION_OF\n or\n HEADQUARTERS_OF\n ", " NUM_MEMBER_OF", " INVEST_FROM\n\n Explanation:\n The text states that the", " INVEST_FROM_LOCATION", " INVESTMENT_ADVISER", " PROVIDES_CAPITAL", " INVESTOR_OF", " INVEST_FROM", " INVESTOR_OF", " INVESTOR_OF", " PROVIDES_CAPITAL", " INVESTS_IN", " LOCATION_OF\n Or\n NO_RELATION (if 'Capital", " LOCATION_OF\n or\n HEAD_QUARTERS_LOCATION", " LOCATION_OF\n or\n HEAD_OF\n or\n ", " LOCATION_OF\n Or\n NO_RELATION (if 'July", " MENTIONED_IN.", " LOCATION_OF\n or\n HEAD_OF\n or\n ", " LOCATION_OF\n or\n HEAD_QUARTERS_IN\n", " LOCATION_OF\n or\n HEAD_QUARTERS_IN\n", " LOCATION_OF\n or\n HEAD_QUARTERS_LOCATION", " CONTINENT_IN_LOCATION \n or\n LOCATION_", " CONTINENT_IN_LOCATION \n or\n LOCATION_", " INVESTOR\n\n Explanation:\n The text states that 'W", " LOCATION_OF\n or\n INVESTOR_FROM\n or", " INVESTOR_FROM", " CONTINENT_IN_LOCATION \n or\n LOCATION_", " INVESTOR_FROM", " INVESTOR_FROM", " PROVIDES_CAPITAL", " LOCATION_OF\n or\n HEAD_QUARTERS_IN\n", " CONTAINS_ELEMENTS_FROM\n or\n HAS_MEMBER", " LOCATION_OF\n Or\n NO_RELATION (if 'Europe'", " LOCATION_OF\n or\n EUROPE_IS_LOCATION_", " LOCATION_OF\n or\n HEAD_OF\n or\n ", " LOCATION_OF\n Or\n NO_RELATION (if 'Europe'", " MENTIONED_IN.", " EUROPE_IN_LOCATION_OF\n Or\n EUROPE_", " LOCATION_OF\n or\n HEAD_QUARTERS_IN\n", " LOCATION_OF\n or\n HEAD_QUARTERS_IN\n", " ONE_OF_MULTIPLE\n This relation indicates that the head entity is one", " CONTAINS_REGION \n or \n LOCATION_IN \n", " CONTAINS_REGION \n or\n LOCATION_IN\n\n ", " INVESTOR_FROM", " LOCATION_OF\n or\n INVESTOR_FROM\n or", " INVESTOR_FROM", " LOCATION_IN\n or\n LOCATION_OF\n\n The", " INVESTOR_FROM", " INVESTOR_FROM", " INVESTOR_FROM", " LOCATION_OF\n or\n HEAD_QUARTERS_IN\n", " PART_OF\n\n Explanation:\n Europe is a part of the set", " LOCATION_OF\n or\n LOCATED_IN\n or\n", " LOCATION_OF\n or\n HEAD_QUARTERS_LOCATED", " ORG_LOCATION_OF\n OR ORG_HEADQUARTERS_OF", " LOCATION_OF\n or\n REGION_OF\n or\n ", " MENTIONED_IN.", " ORG_PART_OF\n OR ORG_LOCATED_IN (for LO", " LOCATION_OF\n or\n HEAD_QUARTERS_IN\n", " ORIGIN_FROM", " ORG_LOCATION_OF\n OR ORG_HEADQUARTERS_IN", " ORIGIN_REGION\n\n Explanation:\n The text states that the", " ORIGIN_REGION\n\n Explanation:\n The text states that the", " INVESTOR\n OR INVESTMENT_MANAGER\n OR F", " LOCATION_OF\n or\n HEAD_QUARTERS_LOCATED", " INVESTOR_FROM", " INVEST_FROM", " INVESTOR_FROM", " LOCATION_OF\n or\n MEMBER_OF\n or\n ", " LOCATION_OF\n or\n MEMBER_OF\n or\n ", " LOCATION_OF\n or\n HEAD_QUARTERS_IN\n", " INVEST_FROM\n\n Explanation:\n The text states that the", " INVESTMENT_ADVISER", " INVESTMENT_ADVISER", " INVESTMENT_ADVISER", " INVESTMENT_ADVISOR", " INVESTOR\n or\n MEDIA_ORGANIZATION\n", " INVESTMENT_ADVISER", " INVESTMENT_ADVISER", " INVESTMENT_ADVISER_LOCATED_IN.", " INVESTMENT_ADVISER", " INVESTMENT_ADVISER_IN_REGION", " INVESTMENT_ADVISER_FROM. This relation indicates that Wafra Inc", " INVESTMENT_ADVISER_FROM.", " INVESTMENT_ADVISOR", " INVESTMENT_ADVISER", " INVESTMENT_ADVISER_FOR\n OR INVESTMENT_AD", " INVESTMENT_ADVISOR", " INVESTMENT_ADVISOR", " INVESTOR\n\n Explanation:\n The text states that Waf", " INVESTMENT_ADVISER", " INVESTMENT_ADVISER", " INVESTOR_IN\n\n Explanation:\n The text states that", " PROVIDES_CAPITAL", " PROVIDES_CAPITAL", " PROVIDES_CAPITAL_ON\n\n Explanation:\n The Alaska", " PROVIDES_CAPITAL_TO", " INVESTOR_IN.", " INVESTOR_IN.", " PROVIDES_CAPITAL_FROM\n\n Explanation:\n The text", " INVESTOR_OF", " LOCATION_IN\n\n Explanation:\n The text states that the", " INVESTOR_FROM. This relation indicates that the Alaska Permanent Fund Corp", " PROVIDES_CAPITAL_FROM\n\n Explanation:\n The text", " INVESTOR_OF", " INVESTOR_OF", " INVESTOR_FROM\n\n Explanation:\n The text states that", " INVESTOR_OF", " INVESTOR_OF", " PROVIDES_CAPITAL", " PROVIDES_CAPITAL", " PROVIDES_CAPITAL", " INVESTOR_OF", " INVESTOR", " INVESTOR", " INVESTED_ON", " INVESTOR_IN\n or\n PUBLISHER\n\n ", " INVESTOR", " INVESTOR_OF", " INVESTS_IN", " INVESTOR_OF", " INVESTOR_FROM", " LOCATION_IN. Europe (RPMI Railpen)", " INVEST_FROM\n\n Explanation:\n RPMI Railpen", " INVESTOR\n\n Explanation:\n The text states that RP", " INVESTOR_OF", " INVESTOR_FROM", " INVESTOR_OF", " INVESTOR_OF", " INVESTOR_OF", " INVESTOR", " INVESTOR_OF", " BELONGS_TO", " INVESTOR_OF", " INVESTOR_OF", " EVENT_DATE_OF\n\n Entities: \n [{'head': ['", " MENTIONED_IN.", " INVESTOR_OF", " INVESTOR_OF", " INVESTOR_IN. (The U.K. is an investor in Capital", " INVESTOR_OF", " ORIGIN_FROM", " INVEST_FROM\n\n Explanation:\n The text states that R", " INVEST_FROM_LOCATION", " INVESTOR\n or\n FUND_MANAGER", " INVESTOR_OF", " INVESTOR_OF", " INVESTOR_OF", " INVESTOR_OF", " INVESTOR_OF", " INVESTOR_OF", " INVESTOR_OF", " INVESTOR_OF", " INVESTOR", " INVESTOR_IN\n\n Explanation:\n The text states that", " INVESTED_ON", " MENTIONED_IN.", " INVESTOR_IN\n or\n FUNDER_OF\n or", " INVESTOR", " LOCATION.\n\n Explanation:\n The head entity 'the Ku", " INVESTOR_OF", " INVESTOR_FROM", " INVESTOR_FROM\n\n Explanation:\n The text states that", " LOCATED_IN", " INVESTOR\n\n Explanation:\n The text states that \"the", " INVESTOR_OF", " INVESTOR_OF", " INVESTOR_FROM\n\n Explanation:\n The text states that", " INVESTOR_OF", " FUNDER", " INVESTOR", " INVESTOR_OF", " INVESTED_IN", " INVESTOR_OF", " INVESTOR_OF", " INVESTED_ON\n\n Entities: \n [{'head':", " MENTIONED_IN.", " INVESTOR_OF", " INVESTOR_OF", " PROVIDES_CAPITAL_TO", " INVESTOR_OF", " LOCATION_IN.\n Or, if you prefer, IN_LOCATION.", " LOCATION_IN.\n Or, if you prefer, you can write it as", " INVEST_FROM_LOCATION", " INVESTOR_OF", " INVESTOR_OF", " INVESTOR_OF", " LOCATION_IN_REGION", " INVESTOR_OF", " INVESTOR_OF", " INVESTOR_OF", " PART_OF", " PROVIDES_CAPITAL", " PROVIDES_CAPITAL", " INVESTOR_OF", " FUNDING\n\n Explanation:\n The Public Institution for Social Security", " PUBLISHER", " INVESTOR_OF", " PROVIDES_CAPITAL", " PROVIDES_CAPITAL_FROM\n\n Explanation:\n The Public", " PROVIDES_CAPITAL", " LOCATION_IN.\n Or, if you prefer, you could use the label", " LOCATION_IN.\n Or, if you prefer, IN_LOCATION.", " LOCATION_IN.\n Or, if you prefer, you could use the more", " PROVIDES_SUPPORT", " FUNDER", " INVESTOR_OF", " INVESTOR_FROM\n\n Explanation:\n The text states that", " PROVIDES_CAPITAL", " FUNDER", " PROVIDES_CAPITAL", " PROVIDES_CAPITAL_FOR\n\n Explanation:\n The Public", " FOUNDATION\n\n Explanation:\n The text states that Capital Constell", " IS_PART_OF", " PRESIDENT_OF", " FOUNDATION_DATE", " MENTIONED_IN.", " PRESIDENT_OF", " IDENTICAL_TO", " LOCATION.\n\n Entities: \n [{'head': ['1", " NUM_MEMBERS", " LOCATED_IN", " INVEST_FROM\n\n Explanation:\n The text states that Capital", " LOCATED_IN", " INVESTMENT_ADVISER", " INVESTOR_OF", " INVESTOR", " INVESTOR_FROM", " INVESTOR_IN.", " INVESTOR_OF", " PROVIDES_CAPITAL", " PART_OF\n\n Explanation:\n The text states that 'Capital", " PART_OF", " PART_OF", " PUBLISHES", " PART_OF", " PART_OF", " LOCATION_OF\n or\n HEADQUARTERS_OF\n ", " NUM_IN_REGION", " PART_OF\n\n Explanation:\n The text states that Capital Constell", " PART_OF\n or\n LOCATION_OF\n\n (Note:", " PARTNER", " INVESTOR_OF", " PART_OF", " PART_OF", " PART_OF", " PART_OF", " PART_OF", " PART_OF" ]

[ [ "5", "9", "DATE", "July 20, 2020Capital" ], [ "9", "10", "ORG", "Constellation" ], [ "11", "12", "PERSON", "Adamson" ], [ "18", "22", "DATE", "July 20, 2020" ], [ "23", "27", "ORG", "The Wall Street Journal" ], [ "28", "30", "PERSON", "Daniel Adamson" ], [ "33", "36", "ORG", "Capital Constellation Inc." ], [ "41", "43", "GPE", "New York" ], [ "46", "47", "CARDINAL", "five" ], [ "50", "52", "LOC", "North America" ], [ "53", "54", "LOC", "Europe" ], [ "55", "58", "LOC", "the Middle East" ], [ "63", "65", "ORG", "Wafra Inc." ], [ "88", "93", "ORG", "the Alaska Permanent Fund Corp." ], [ "94", "96", "ORG", "RPMI Railpen" ], [ "98", "99", "GPE", "U.K." ], [ "100", "104", "ORG", "the Kuwait Investment Authority" ], [ "105", "111", "ORG", "the Third Swedish National Pension Fund" ], [ "112", "120", "ORG", "the Public Institution for Social Security of Kuwait" ], [ "124", "126", "ORG", "Capital Constellation" ], [ "129", "130", "CARDINAL", "six" ] ]

[ "I Santi Abbandonati\nI Santi Abbandonati (The Abandoned Saints), is a piece of work that I did in an art festival entitled “Ad ognuno la sua parte IV”, of which it was organised by tadlachance. This piece of work is a site-specific installation in a small uphill village named Villatalla in Liguria, Italy.\nThis work is constructed in the form of altar, with a small symbolic “bible” that contained 80 words that are all about our existence and inner feelings like emotion, contradiction, desire, difficulty… etc., the work is accomplished with a muffled voice that sounds like praying.\nI want to arouse the awareness of our inner feelings, of which they are somehow the saints that we might have forgotten, ignored or even abandoned.\nWai Kit Lam" ]

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[ "WTO: 2005 NEWS ITEMS\n28 July 2005\nTRADE NEGOTIATIONS COMMITTEE\nDirector-General Supachai Panitchpakdi, in his final report as Trade Negotiations Committee Chairman, said on 28 July 2005 that achieving a successful Ministerial Conference this December is still possible provided members dedicate themselves to “a politically engaged, results oriented, decision making mode of operation immediately after the (summer) recess”. He said that as he prepares to step down as Chair, he wished to remind members that the negotiations “must be a means of improving economic opportunities and helping to fulfil the hope of development... (and thus) problems in the negotiations cannot be allowed to defeat us”.\nPhotos (Click to see a larger image and read the caption)" ]

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[ " DISCOURSED_ABOUT", " SPOKE_AT\n\n Explanation:\n The text states that \"", " MEETING_OF\n # This relation indicates that the date is the time of the", " MEETING_OF\n # This relation indicates that the date (event) is associated", " REPORTED_BY", " MEETING_OF\n # The date (head) is when the Trade Negoti", " MEETING_OF\n ORGANIZED_BY\n ORG_", " MEETING_OF\n ORGANIZED_BY\n OR HELD", " CHAIR_OF", " SAME_ORG", " MEETING_OF\n ORGANIZED_BY\n ORG(", " NEGOTIATIONS_FOR\n\n Explanation:\n The text", " NEGOTIATIONS_OF\n\n Explanation:\n The text", " RECESSES_OF\n\n Explanation:\n The text states", " SPOKE_ON\n\n Explanation:\n Supachai Panitch", " SPOKE_ON\n\n Explanation:\n Supachai Panitch", " CHAIRED_BY", " CHAIRED_BY", " SPOKE_ON\n\n Explanation:\n Supachai Panitch", " CHAIRS\n\n Explanation:\n Supachai Panitchp", " PREDICTS_EVENT\n\n Explanation:\n Supachai", " REPORTED_EVENT_OF\n\n Explanation:\n Supachai", " MEETING_OF\n ORGANIZED_BY\n OR HELD", " MEETING_OF\n ORGANIZED_BY\n ORG_", " SAME_ORG", " CHAIR_OF", " MEETING_OF\n ORGANIZED_BY\n ORG_", " NEGOTIATIONS_FOR\n\n Explanation:\n The text", " MEETING_WILL_BE_HELD_ON", " RECESSES_OF\n\n Explanation:\n The text states", " MEETING_OF\n # This relation indicates that the date (event) is associated", " REPORTED_BY", " MEETING_OF\n # This relation indicates that the '28 July 2", " ORGANIZER", " CHAIR_OF\n\n Explanation:\n In the text, Sup", " PRECEDES", " MEETING_OF\n or\n UPCOMING_MEETING_OF", " CHAIR_OF\n or\n HEAD_OF\n\n Explan", " MEETING_AT\n\n Explanation:\n The Director-General is", " RECESSES_OF\n\n Explanation:\n The text states", " PRECEDED_BY", " RECESSES_OF\n\n Explanation:\n The text states" ]

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[ "EDC NY is set to make waves again in 2016 as it moves back to Citi Field. Having already released a stunning lineup, fans can be expected to be running between stages left and right looking for the best and most efficient use of their time at the festival.\nIf you’re like me, though, it might be hard to ever leave the cosmicMEADOW stage for the weekend. Featuring performances from Jauz, Madeon, Zedd, Alison Wonderland, Dillon Francis, Marshmello, Seven Lions and more, I personally see little point in going anywhere else.\nTickets to EDC New York are still available! Find more information on their website: http://newyork.electricdaisycarnival.com/." ]

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[ " IS_SET_TO_OCCUR_IN_YEAR", " LOCATED_AT", " LOCATED_AT", " TAKES_PLACE_ON", " PERFORMS", " PERFORMS", " PERFORMS", " PERFORMS", " PERFORMS", " PERFORMS", " PERFORMS", " IDENTICAL", " SET_TO", " IS_LOCATED_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS", " IS_SET_TO_OCCUR_IN_YEAR", " LOCATION_OF\n OR LOCATED_AT\n OR HOSTS", " LOCATED_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " LOCATION_OF\n or\n HOSTED_BY\n or\n", " LOCATION_OF", " LOCATED_AT", " LOCATION_AT.\n This indicates that 'cosmicMEADOW'", " FEATURES_EVENT\n or\n LOCATED_AT\n or\n", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS", " PERFORMS", " PERFORMS", " PERFORMS_AT", " PERFORMS", " STAGE_OF\n\n Explanation:\n The text mentions that the", " TAKES_PLACE_AT", " TAKES_PLACE_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS", " IS_PART_OF", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT\n\n Explanation:\n In the context of the", " PERFORMS\n\n Or, if you prefer, use the following format:\n\n", " PERFORMS_AT", " PERFORMS_AT\n\n Explanation:\n The text mentions that", " PERFORMS_AT\n\n Explanation:\n The text mentions that", " PERFORMS\n\n Or, if you prefer, use the following format:\n\n", " PERFORMS_AT", " PERFORMS\n\n Explanation:\n The text mentions that Madeon", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS\n\n Explanation:\n The text mentions that Madeon", " PERFORMS_AT\n\n Explanation:\n The text mentions that", " PERFORMS_AT\n\n Explanation:\n The text mentions that", " PERFORMS_AT\n\n Explanation:\n The text mentions that", " PERFORMS_AT\n\n Explanation:\n The text mentions that", " PERFORMS\n\n Explanation:\n The text mentions that Madeon", " PERFORMS\n\n Explanation:\n The text mentions that Madeon", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS\n\n Explanation:\n The text mentions that Zed", " PERFORMS_AT\n\n Explanation:\n The text mentions that", " PERFORMS\n\n Explanation:\n The text mentions that Zed", " PERFORMS_AT\n\n Explanation:\n In the text, it", " PERFORMS_AT", " PERFORMS\n\n Explanation:\n The text mentions that Zed", " PERFORMS\n\n Explanation:\n Zedd is performing at E", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS\n\n Explanation:\n The text mentions that Alison", " PERFORMS_AT", " PERFORMS_AT\n\n Explanation:\n The text mentions that", " PERFORMS_AT\n\n Explanation:\n The text mentions that", " PERFORMS_AT", " PERFORMS\n\n Explanation:\n Alison Wonderland performs at the", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT\n\n Explanation:\n The text mentions that", " PERFORMS_AT\n\n Explanation:\n The text mentions that", " PERFORMS_AT\n\n Explanation:\n The text mentions that", " PERFORMS_AT\n\n Explanation:\n The text mentions that", " PERFORMS_AT\n\n Explanation:\n The text mentions that", " PERFORMS\n\n Explanation:\n The text mentions that Dillon", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS\n\n Explanation:\n In the text, it is mentioned", " PERFORMS_AT\n\n Explanation:\n Marshmello performs", " PERFORMS\n\n Explanation:\n The text mentions that Marsh", " PERFORMS_AT", " PERFORMS_AT\n\n Explanation:\n Marshmello performs", " PERFORMS\n\n Explanation:\n Marshmello performs at the", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS_AT", " PERFORMS\n\n Explanation:\n In the text, it is mentioned", " PERFORMS\n\n Explanation:\n The text mentions that Seven L", " PERFORMS\n\n Explanation:\n In the text, it is mentioned", " PERFORMS\n\n Explanation:\n In the text, it is mentioned", " PERFORMS\n\n Explanation:\n In the text, it is mentioned", " PERFORMS\n\n Explanation:\n In the text, it is mentioned", " PERFORMS_AT", " SAME_AS", " IS_SET_TO_OCCUR_IN_YEAR", " LOCATED_AT", " LOCATED_AT", " TAKES_PLACE_ON", " PERFORMS_AT", " PERFORMS", " PERFORMS_AT", " PERFORMS", " PERFORMS", " PERFORMS", " PERFORMS_AT" ]

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[ "Collin College Wylie Campus. Sara Carpenter/Collin College\nA bill signed into law by the governor in June 2023 offers an incentive model to reform the state’s community college finance system.\nShifting away from the previous enrollment metrics model, Texas House Bill 8 (HB 8) is an outcomes-based approach that rewards colleges for awarding degrees and certificates, completion of dual credit courses and successful student transfers from community colleges to four-year universities.\nThe state’s 50 community college districts have been preparing for the change for months and the program is still in its implementation stage. But the first funds under the new model, which allocated $683 million in additional money to community colleges from the state budget, started moving in October 2023.\nTo read the full story and support your local newspaper subscribe to The Wylie News today!" ]

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[ "About The Doctor\nDr. Murphree uses some of the most sophisticated, yet practical, scientifically based, nutritional therapies to prevent and reverse even the most stubborn illnesses. Dr. Rodger Murphree, D.C., has been in private practice since 1990. He is the founder and past clinic director for a large integrated medical practice located on the campus of Brookwood Hospital in Birmingham, Alabama. He is the author of Treating and Beating Fibromyalgia and Chronic Fatigue Syndrome, Heart Disease What Your Doctor Won’t Tell You, and Treating and Beating Anxiety and Depression with Orthomolecular Medicine.\nHe can be reached at www.YourFibroDoctor.com or 205-879-2383.\nThese patients and hundreds of others who’ve worked personally with me have in fact beaten their fibromyalgia. You can read or listen to their stories by clicking the link below:" ]

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[ "Kabza De Small – Dlala Gija Ft. Njelic, Daliwonga & DJ Maphorisa MP3 Download\nStream and download Kabza De Small – Dlala Gija Ft. Njelic, Daliwonga & DJ Maphorisa Free MP3 Here on ZAPlaylist.\nSouth African trending Amapiano hit maker Kabza De Small, takes on fans with a newly made single. However, the new booming single is titled Dlala Gija and is already booming at the moment. Also, the new tune connects with some good musical vibes from Njelic, Daliwonga & DJ Maphorisa.\nWithout further ado, vibe along with this awesome tune and don’t forget to share your thoughts in the comment session below:" ]

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[ "We also enjoyed the antics of Bob the baby orangutan. It was so fun to listen to the kids (especially 3 year old Micah) squeal in laughter at him.\nAlso on our way back to AL, we stopped off at hubby and my alumni (and where we met), Clemson University. Z has really become quite a big fan of all things Clemson. He found the stadium awesome. We have decided to make an effort this fall to take him to a game....he is way excited!\nMore crafting/sewing to come next week. I got my serger back the other day, but am feeling quite under the weather at the moment. I spent all the week getting the house together so I could have some guilt free sewing and now I'm pretty sick. :(" ]

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"DATE", "the other day" ], "tail": [ "71", "72", "ORG", "Clemson" ] } ], [ { "head": [ "132", "135", "DATE", "all the week" ], "tail": [ "6", "7", "PERSON", "Bob" ] } ], [ { "head": [ "132", "135", "DATE", "all the week" ], "tail": [ "25", "26", "PERSON", "Micah" ] } ], [ { "head": [ "132", "135", "DATE", "all the week" ], "tail": [ "40", "41", "GPE", "AL" ] } ], [ { "head": [ "132", "135", "DATE", "all the week" ], "tail": [ "46", "47", "PERSON", "hubby" ] } ], [ { "head": [ "132", "135", "DATE", "all the week" ], "tail": [ "57", "59", "ORG", "Clemson University" ] } ], [ { "head": [ "132", "135", "DATE", "all the week" ], "tail": [ "60", "61", "PERSON", "Z" ] } ], [ { "head": [ "132", "135", "DATE", "all the week" ], "tail": [ "71", "72", "ORG", "Clemson" ] } ] ]

[ " ENTERTAINED\n\n Explanation:\n The text mentions that", " ENJOYED_BY", " WE_TRAVELLED_FROM\n\n Explanation:\n The text", " HUSBAND_OF", " STUDENT_OF \n or\n ALMA_MATER_OF ", " FAN_OF", " STUDENT_OF \n\n Explanation:\n The text mentions", " EXCITED_FOR.", " SEARCH\n\n Explanation:\n The text does not provide enough context to", " GOT_BACK\n\n Explanation:\n The text mentions that the", " PREP_WITH\n\n Explanation:\n The text mentions that", " ENJOYED_BY", " PARENT_OF", " LEFT_OF\n\n Explanation:\n The relation LEFT_OF", " FATHER_OF\n\n Explanation:\n The context mentions \"", " STOPPED_AT.", " FAN_OF", " STOPPED_AT.", " LAUGHT_AT", " SIBLING", " NO_RELATION", " FATHER_OF", " FAN_OF", " FAN_OF", " FAN_OF", " EXCITED_FOR.", " NO_RELATION", " GET_BACK\n\n Explanation:\n Micah got the serger back", " PREP_WITH\n\n Explanation:\n Micah (head)", " ON_LOCATION", " IN_LOCATION_OF\n\n Explanation:\n The text mentions", " ENJOYED_BY", " AL_IS_LOCATION_OF_hubby", " STOPPED_AT", " WENT_TO", " STOPPED_AT.", " DEPENDS_ON", " NO_RELATION", " GET_BACK\n\n Explanation:\n The text mentions that the speaker", " PREP_WITH.", " ALUMNUS_OF\n\n Explanation:\n The text mentions that", " FATHER_OF\n\n Explanation:\n The text mentions that", " FATHER_OF\n\n Explanation:\n The text mentions that", " ORIGIN_FROM", " ALUMNUS_OF", " ALUMNUS_OF", " ALUMNUS_OF", " DECIDED_FALL. This is a custom relation label for the decision made to", " PLAN_FOR_EVENT", " GOT_BACK", " GET_HOUSE_READY_FOR_SEWING", " STOPPED_AT", " MENTIONED_IN_CONTEXT_OF", " ENJOYS\n\n Explanation:\n The text mentions that Mic", " STARTED_IN", " ALUMNUS_OF", " ALUMNI_OF", " ALUMNI_OF", " LOCATION_IN_TIME", " EVENT_STARTS_ON\n\n Explanation:\n The text mentions", " RECEIVED_SERVICE", " PREP_WITH.", " ENJOYS\n\n Explanation:\n The text mentions that Z", " CHILD_OF\n\n Explanation:\n The text mentions that \"", " FATHER_OF\n\n Explanation:\n The text mentions that", " LEFT_OF\n\n Explanation:\n The text mentions that they", " HUSBAND", " FAN_OF", " FAN_OF", " EXCITED_FOR.", " PLANNED_FOR\n\n Explanation:\n The context mentions", " GOT_BACK\n\n Explanation:\n The context mentions that '", " PAST_EVENT\n\n Explanation:\n The entities represent the person '", " STUDENT_OF\n\n Explanation:\n The text mentions that", " PLACE_OF_STUDY\n\n Explanation:\n The text", " ENJOYS\n\n Explanation:\n The text mentions that Mic", " STARTED_IN", " ALUMNUS_OF", " ALUMNUS_OF", " ALUMNI_OF", " LOCATION_IN_TIME", " PLANNED_FOR.", " GOT_BACK", " PREP_WITH.", " GOING_TO\n\n Explanation:\n The text mentions that the", " EXCITED_FOR\n\n Entities: \n [{'head':", " GO_TO", " DECIDED_BY", " DECIDED_TO_ATTEND", " DECIDED_TO_DO", " DECIDED_TO_ATTEND", " CLOSE_TO\n\n Explanation:\n The text mentions that", " SEEING\n\n Explanation:\n The text mentions that Micah", " NO_RELATION", " GET_BACK\n\n Explanation:\n The text mentions that the speaker", " NEAR_LOCATION", " SEARCH_AND_FIND # This is a heuristic used to find the relation", " NEAR_LOCATION", " GOT_BACK\n\n Explanation:\n The text mentions that the", " HAPPENED_BEFORE", " NO_RELATION", " GOT_BACK", " GET_BACK\n\n Explanation:\n The text mentions that the speaker", " GOT_BACK", " GET_BACK\n\n Explanation:\n The context indicates that the speaker got", " PREP_WITH\n\n Explanation:\n The text mentions that", " ENJOYED_BY", " PREP_WITH.", " PREP_WITH", " PREVIOUS_LOCATION", " PREP_WITH\n\n Explanation:\n The text mentions that", " PREVIOUS_LOCATION_OF\n\n Explanation:\n " ]

[ [ "6", "7", "PERSON", "Bob" ], [ "22", "25", "DATE", "3 year old" ], [ "25", "26", "PERSON", "Micah" ], [ "40", "41", "GPE", "AL" ], [ "46", "47", "PERSON", "hubby" ], [ "57", "59", "ORG", "Clemson University" ], [ "60", "61", "PERSON", "Z" ], [ "71", "72", "ORG", "Clemson" ], [ "86", "88", "DATE", "this fall" ], [ "107", "109", "DATE", "next week" ], [ "115", "118", "DATE", "the other day" ], [ "132", "135", "DATE", "all the week" ] ]

[ "Opening Wednesday 25th July, 12 noon until 31st July\nat the Naomi Tydeman Gallery, Cobb Lane, Tenby\nAt £195 each, this will be a special opportunity to own an original water based media painting by some of the leading artists in the country.\nGallery open 11 – 5 every day\nPayment by Cash, Cheques and BACS only\nImage top L to bottom R: Jean Noble RI, Tony Hunt RI, Anne McCormack RI and Naomi Tydeman RI" ]

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[ "This is The ChangeUnderground for the 13th of December 2021.\nI’m your host, Jon Moore\nDecarbonise the Air, Recarbonise the Soil!\nAs we discussed last episode, a confluence of events pointed to supply chain issues and possible food supply shortages. Things like rising energy costs, fertiliser costs, personnel shortages in key parts of the supply chain and so on.\nImagine my surprise when I discovered the truly remarkable substance AdBlue. I’d seen this being promoted some time in the past decade as a diesel additive, or so I thought. It turns out this is a diesel exhaust additive. Squirted into the exhaust of diesel engines it removes nitrogen oxide and replaces it with nitrogen and water. AdBlue is a compound of deionised water and…. Wait for it…. Urea! Continue reading →" ]

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[ "Paramount Home Entertainment and Showtime are preparing the release of The Tudors: The Complete Second Season for launch this December.\n“The Tudors” presents the rarely dramatized, tumultuous early years of King Henry VIII’s nearly 40 year, omnipotent reign (1509-1547). In addition to his famous female consorts and 20+ year marriage to Catherine of Aragon to the infamous dalliance with Anne Boleyn, the series delves in to Henry’s most notable political relationship and the deconstruction of the Roman Catholic Church in England.\nArriving as a 4-disc DVD set, the release will offer more than 9 hours of historical drama and soap opera, in the show’s original 1.78:1 widescreen presentation with Dolby Digital 5.1 audio.\nLook for “The Tudors: The Complete Second Season on December 30 for $42.99." ]

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[ " PREPARES_FOR_RELEASE", " DISTRIBUTES", " PREPARING_FOR_RELEASE", " DISTRIBUTOR", " PREPARES_FOR_RELEASE", " PREPARES_FOR_RELEASE", " HAS_DURATION", " PUBLISHER_OF\n\n Explanation:\n The text states", " PUBLISHERS_RELEASE_DATE_OF_PRODUCT", " RELEASED_BY", " RELEASED_BY", " PREPARES_FOR_RELEASE", " PUBLISHER_OF\n\n Explanation:\n The text states", " DISTRIBUTES_TO", " DISTRIBUTES", " RELEASE_TIME\n\n Entities: \n [{'head': ['0", " PRESENTS_MEDIA_IN_FORMAT", " PROVIDES_TECHNICAL_CAPABILITY", " DISTRIBUTOR", " RELEASE_DATE", " PRICE_OF_GOOD_OR_SERVICE", " DISTRIBUTOR", " DISTRIBUTES", " PREPARING_FOR_RELEASE", " PREPARING_FOR_RELEASE", " PREPARES_FOR_RELEASE", " PREPARES_FOR_RELEASE\n\n Explanation:\n ", " REIGN_OVER", " REIGN_OVER", " RELEASE_DATE", " PRODUCER", " PREPARES_FOR_RELEASE\n\n Explanation:\n ", " PREPARES_FOR_RELEASE", " DECOMPOSED_FROM", " LOCATION.\n\n Explanation:\n The text states that \"Look", " PREPARING_FOR_RELEASE", " RELEASE_DATE_OF_MEDIA_PRODUCT", " OFFERS_MEDIA_IN_FORMAT", " OFFERS_TECHNOLOGY", " DISTRIBUTES", " RELEASE_DATE", " PRICE_OF_PRODUCT\n\n Entities: \n [{'head", " DISTRIBUTOR", " PREPARES_FOR_RELEASE", " PRODUCED_BY", " SUBJECT_OF\n\n Explanation:\n The text describes the release of", " SUBJECT_OF\n\n Explanation:\n The text describes the release of", " PRODUCED_BY", " DECOMPOSITION", " SET_IN_LOCATION", " HAS_TECHNICAL_FEATURE\n\n Explanation:\n The", " PREPARING_FOR_RELEASE", " PREPARING_FOR_RELEASE", " PREPARES_FOR_RELEASE", " MARRIED_TO", " DEPENDENCY_RELATIONSHIP.OBJ_OF_VERB_WITH", " PREPARING_FOR_RELEASE\n\n Explanation:\n The", " DECOMPOSED_BY", " LOCATION.IN.GPE.COUNTRY.OF_ORIGIN", " OFFERS_TECHNOLOGY", " DISTRIBUTES", " DISTRIBUTOR", " CREATED_BY", " FEMALE_CONSORT", " SUBJECT_OF\n\n Explanation:\n The text describes the release of", " CREATED_BY", " DECOMPOSES", " SETTING", " PROVIDES_TECHNICAL_SUPPORT", " PREPARING_FOR_RELEASE", " PREPARING_FOR_RELEASE", " REIGN_OVER", " MARRIED_TO", " IN_YEARS_OF_REIGN_OF", " REIGN_OVER", " DECOMPOSED_BY", " PERIOD_IN\n\n Explanation:\n The text describes the '", " OFFERS_TECHNOLOGY", " DISTRIBUTES", " PREPARES_FOR_RELEASE", " PRODUCED_BY", " RELEASE_DATE", " CREATED_BY", " REIGN_OVER", " REIGN_OVER", " REIGN_OVER", " HAS_DURATION", " MARRIED_TO", " IN_RELATIONSHIP_WITH", " SAME_PERSON", " DECONSTRUCTED_BY", " RULE_MONARCH_OF", " RULED_BY", " HAS_DURATION", " HAS_FORMAT\n\n Explanation:\n The text states that \"The", " PROVIDES_TECHNOLOGY", " PRODUCED_BY", " RELEASE_DATE", " PRICE_OF_GOOD_OR_SERVICE", " PREPARING_FOR_RELEASE", " PREPARING_FOR_RELEASE", " REIGN_OVER", " MARRIED_TO", " RULE_OF_SUCCESSION", " REIGN_OVER", " DECOMPOSED_BY", " REIGN_OVER", " OFFERED_BY", " DISTRIBUTES", " PREPARING_FOR_RELEASE", " REIGN_OVER", " REIGN_OVER", " SUBJECT_OF\n\n Explanation:\n The text describes King Henry VIII", " REIGN_OVER", " DECOMPOSED_BY", " REIGN_OVER", " OFFERS_TECHNOLOGY", " RELEASE_DATE", " PREPARING_FOR_RELEASE", " MARRIED_FOR_X_YEARS", " MARRIED_TO", " MARRIED_TO", " MARRIED_FOR_X_YEARS", " DECOMPOSITION", " REIGN_OVER", " OFFER_TECHNOLOGY_WITH_TIMESTAMP", " DISTRIBUTOR", " DISTRIBUTES", " SUBJECT_OF", " RELEASE_DATE_OF\n\n Entities: \n [{'head':", " SUBJECT_OF\n\n Explanation:\n The text mentions that \"", " BELONGS_TO\n\n Explanation:\n The text states that", " MARRIED_TO", " HAS_DURATION", " MARRIED_TO", " MARRIED_WITH\n\n Explanation:\n The text states that", " IN_MARRIAGE_WITH\n\n Explanation:\n The text", " MARRIED_TO", " MARRIED_TO\n\n Explanation:\n The text mentions", " MARRIED_TO\n\n Explanation:\n The text mentions", " MARRIED_TO", " HAS_DURATION", " NO_RELATION", " OFFERS_TECHNOLOGY", " SUBJECT_OF", " RELEASE_DATE", " PRICE_OF_GOOD_OR_SERVICE", " DISTRIBUTED_BY", " DISTRIBUTES", " SUBJECT_OF", " RELEASE_DATE_OF\n\n Entities: \n [{'head':", " SUBJECT_OF\n\n Explanation:\n Anne Boleyn is the", " DECOMPOSITION_OF\n\n Explanation:\n The text mentions", " IN_RELATIONSHIP_WITH", " HAS_DURATION", " SUBJECT_OF\n\n Explanation:\n Anne Boleyn is the", " HAS_DURATION", " IN_MARRIAGE_WITH", " IN_RELATIONSHIP_WITH", " DECONSTRUCTED_BY", " DWELLED_IN", " IN_POLITICAL_RELATIONSHIP", " HAS_DURATION", " NO_RELATION", " PROVIDES_TECHNICAL_SUPPORT", " SUBJECT_OF", " RELEASE_DATE", " PRICE_OF_GOOD_OR_SERVICE", " DISTRIBUTES", " PREPARES_FOR_RELEASE", " PRODUCED_BY", " RELEASE_DATE", " CREATED_BY", " REIGN_OVER", " KING_OF\n\n Explanation:\n The text states that \"Hen", " REIGN_OVER", " REIGN_OVER", " MARRIAGE_WITH_DURATION", " MARRIED_TO", " IN_RELATIONSHIP_WITH", " DECONSTRUCTED_BY", " RULE_MONARCH_OF", " RULED_BY", " HAS_LENGTH", " HAS_FORMAT\n\n Explanation:\n The text states that \"The", " PROVIDES_TECHNOLOGY", " PRODUCED_BY", " RELEASE_DATE", " PRICE_OF_GOOD_OR_SERVICE", " DECOMPOSED_BY", " DECONSTRUCTS", " DECOMPOSITION", " DECOMPOSITION", " DECOMPOSITION", " DECOMPOSITION", " DECOMPOSITION", " DECOMPOSITION", " DECOMPOSITION_OF\n\n Explanation:\n The text mentions", " DECOMPOSITION", " DECOMPOSITION", " DECOMPOSITION", " DECONSTRUCTED_BY", " DECOMPOSITION", " DECOMPOSITION", " PROVIDES_LENGTH_OF_TIME", " DECOMPOSITION_OF\n\n Explanation:\n The text describes the", " DECOMPOSITION", " DECOMPOSITION", " RELEASE_DATE", " PRICE_OF_GOOD_OR_SERVICE", " DISTRIBUTES", " DISTRIBUTES", " LOCATION_OF\n or\n PRODUCED_IN\n or", " RELEASE_DATE_OF\n\n Entities: \n [{'head':", " LOCATION_OF\n\n Explanation:\n The text states that \"", " SETTING", " REIGNS_OVER", " REIGN_OVER", " LOCATION_OF\n or\n PERIOD_OF\n or\n", " TIME_IN_PERIOD", " LOCATION_OF\n or\n BELONGS_TO\n\n ", " LOCATION_OF\n\n Explanation:\n The text mentions that", " REIGNS_OVER", " DECOMPOSITION", " SETTING", " TIME_OF_EVENT", " ASPECT_OF.", " AVAILABLE_IN\n\n Explanation:\n The text states that \"", " LOCATION_OF\n or\n PRODUCED_IN\n or", " RELEASE_DATE", " PRICE_OF_GOOD_OR_SERVICE", " DISTRIBUTES", " PREPARES_FOR_RELEASE", " PRODUCES", " MARRIED_TO", " IN_RELATIONSHIP_WITH", " PREPARES_FOR_RELEASE\n\n Explanation:\n ", " DECONSTRUCTED_BY", " LOCATION", " OFFERED_WITH_MEDIA_FORMAT", " RELEASES", " PREPARING_FOR_RELEASE\n\n Explanation:\n The", " PRODUCED_BY", " SUBJECT_OF\n\n Explanation:\n The text describes the release of", " SUBJECT_OF\n\n Explanation:\n The text describes the release of", " PRODUCED_BY\n\n Explanation:\n The text states that", " DECOMPOSES", " SETTING", " OFFERS_TECHNICAL_DETAILS_WITH_MEDIUM_OR", " DISTRIBUTES", " DISTRIBUTES", " PRESENTS_MEDIA_IN_FORMAT", " PRESENTED_BY", " PRESENTED_IN", " PRESENTS_IN_MEDIA", " DECOMPOSITION", " PRESENTS_IN\n\n Explanation:\n The text states that", " PRESENTS_WITH\n\n Explanation:\n The text states that", " DISTRIBUTES", " PROVIDES_TECHNOLOGY", " OFFERS_TECHNICAL_FORMAT\n\n Explanation:\n The", " OFFER_PRODUCT_AT_TIME", " AUDIO_RELEASED_FOR\n\n Explanation:\n The text", " OFFER_TECHNOLOGY_FOR_SALE_AT_DATE", " OFFERS_TECHNOLOGY_TO\n\n Explanation:\n ", " OFFERED_WITH_DATE", " RELEASED_DURING", " OFFER_DATE_RANGE", " NO_RELATION", " OFFERS_TECHNOLOGY_TO\n\n Explanation:\n ", " OFFERS_TECHNOLOGY_WITH_ENTITY", " PROVIDES_TECHNOLOGY", " OFFERS_TECHNOLOGY_IN_LOCATION", " OFFER_TECH_SPECS_FOR_PRODUCT", " OFFERS_QUANTITY", " OFFERS_MEDIA_WITH_SPECIFICATIONS", " HAS_MEDIA_FORMAT", " OFFERS_ON_DATE", " PRICE_OF_GOOD_OR_SERVICE", " DISTRIBUTES", " PREPARING_FOR_RELEASE", " PRODUCED_BY", " SUBJECT_OF\n\n Explanation:\n The text describes the release of", " SUBJECT_OF\n\n Explanation:\n The text describes the release of", " PRODUCED_BY", " DECOMPOSITION", " LOCATION", " HAS_TECHNICAL_DETAIL\n\n Explanation:\n", " RELEASE_BY", " PREPARING_FOR_RELEASE", " RELEASE_DATE", " RELEASE_DATE_OF_ENTITY", " LAUNCH_ON", " RELEASE_DATE", " DECOMPOSED_BY", " RELEASE_LOCATION", " AVAILABLE_WITH\n\n Explanation:\n The text states that \"", " PRICES_FROM", " PRICE_OF_PRODUCT\n\n Explanation:\n The text states", " PRICE_OF_GOOD_OR_SERVICE", " PRICE_OF_GOOD_OR_SERVICE", " PRICE_OF_GOOD_OR_SERVICE", " PRICE_OF_GOOD_OR_SERVICE", " PRICE_OF_GOOD_OR_SERVICE", " PRICE_OF_GOOD_OR_SERVICE", " OFFERED_WITH_SPECS\n\n Explanation:\n The text" ]

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[ "Friday March 29th 18.00\nCaritas Chamber Choir-Musical Director Benedict Preece\nA Concert for Good Friday\nWe are delighted to welcome Benedict and Caritas back to Goodnestone. for this varied programme of Music and Readings for Holy Week\nTheir Good Friday concert last year was wonderful and this promises to be another fantastic evening.\n2024 Concert Series\nWe are in the process of finalising this years concerts, details of concerts will appear here over the next couple of months\nTickets for concerts can be purchased online just click on\" tickets\" in the relevant concert.\nor by post - please send cheque made payable to Goodnestone Music to\n1-2 Old Brickfield Cottages,\nCanterbury CT3 1PA\nPlease enclose a SAE\nTickets for concerts will be available on the door subject to availability.\nFor further details regarding any concert please call 01304 841826" ]

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[ " PERFORMS_ON", " DIRECTED_BY", " GOOD_FRIDAY_FOR_BENEDICT", " CONCERT_DATE", " LOCATION.IN.EVENT", " EVENT_OF\n\n Explanation:\n The text mentions a concert for", " LOCATION.HOST.ORGANIZER", " LOCATION.IN.EVENT", " NO_RELATION", " SALE_OF_TICKETS_ON_DATE", " PERFORMS_ON", " MUSICAL_DIRECTOR", " MUSICAL_DIRECTOR", " IDENTICAL\n\n Explanation:\n The text mentions that Caritas", " LOCATION.HOSTS.ORGANIZATION", " PRESENTS \n\n Explanation:\n The text mentions that", " PERFORMS_ON", " PAST_PERFORMANCE", " PERFORMS_AT", " ORGANIZES", " CONCERT_SERIES_DATE", " PRESENTS \n\n Explanation:\n The text mentions that", " LOCATION.LOCATED_AT.ORGANIZATION", " NO_RELATION", " SALES_OF_TICKETS", " DIRECTED_BY", " DIRECTOR", " DIRECTOR", " DIRECTOR", " DIRECTED_BY", " DIRECTOR_OF\n\n Explanation:\n The text mentions that", " DIRECTS\n\n Explanation:\n Benedict Preece is the", " DIED_YEARS_AGO", " DIRECTS\n\n Explanation:\n Benedict Preece directs", " DIRECTOR_OF\n\n Explanation:\n The text mentions that", " WILL_PERFORM_AT", " PAYEE \n or \n RECIPIENT \n or ", " LIVES_IN", " NO_RELATION", " SELLER\n\n Explanation:\n Benedict Preece is selling", " PERFORMS_ON", " MUSICAL_DIRECTOR", " DIRECTOR", " MUSICAL_DIRECTOR", " PERFORMS_AT", " DIRECTS", " MUSICIAN_PERFORMS_ON\n\n Explanation:\n", " PAST_EVENT\n\n Explanation:\n The text mentions that Bened", " EVENT_STARTS_AT_TIME", " ASSOC_WITH_START_DATE_OF\n\n Entities: \n ", " WILL_OCCUR_IN", " PRESENTS\n\n Explanation:\n The text mentions that tickets", " LOCATION_OF\n or\n NO_RELATION (if 'Canter", " NO_RELATION", " SALE_OF_TICKETS_BY\n\n Explanation:\n", " PERFORMS_ON", " MUSICAL_DIRECTOR", " MUSICAL_DIRECTOR", " MUSICAL_DIRECTOR", " LOCATION.HOSTS.ORGANIZATION", " PRESENTS\n\n Explanation:\n The text mentions that Car", " CONCERT.ON_DATE", " PAST_EVENT.\n Or, if you prefer:\n HELD_EVENT", " CONCERT.\n\n Entities: \n [{'head': ['Car", " ORGANIZES", " CONCERT_DATE", " PRESENTS\n\n Explanation:\n The text mentions that Car", " LOCATION.IN.CITY", " NO_RELATION", " SALES_FROM\n\n Explanation:\n The text mentions that", " LOCATION_OF\n\n Entities: \n [{'head': ['", " LOCATION_OF\n or\n HOST_OF\n or\n ", " WELCOMES", " WELCOMES", " LOCATION_OF\n or\n HOST_OF\n or\n ", " HOSTED_BY", " EVENT_DATE", " PREVIOUSLY_LOCATED_AT", " HOSTED_BY", " LOCATION_OF\n\n Explanation:\n The text mentions that", " FUTURE_EVENT_DATE_IN_MONTHS", " LOCATION_ORGANIZER", " LOCATION_NEARBY", " NO_RELATION", " AVAILABLE_AT", " TAKES_PLACE_ON", " PRESENTS \n\n Explanation:\n The text mentions that", " DIRECTOR", " DIRECTS \n\n Explanation:\n The text mentions that Bened", " PRESENTS \n\n Explanation:\n The text mentions that", " LOCATION_OF\n OR LOCATION\n\n Explanation:\n", " THEME_OF\n\n Explanation:\n The text mentions a '", " PREVIOUSLY_OCCURRED_ON", " EVENT_HAS_TIME.", " RELATION_IS_PART_OF", " TIME_OF_EVENT", " ORGANIZER", " LOCATION.IN.EVENT", " INFORMATION_REQUEST", " SALES_OF_TICKETS", " PERFORMS_ON", " DIRECTOR_OF\n\n Explanation:\n The text mentions that", " MUSICIAN_PERFORMS_ON_DATE", " HOLIDAY_DATE_OF_EVENT\n\n Explanation:\n ", " LOCATION.IN.EVENT", " EVENT_OF\n\n Explanation:\n The text mentions that 'Music", " LOCATION.HOST.ORGANISER", " LOCATION.IN.EVENT.DATE", " NO_RELATION", " SALE_OF_TICKETS", " PAST_PERFORMANCE", " DIRECTED_BY", " DIRECTED_BY", " PAST_PERFORMANCE", " PAST_LOCATION", " PREVIOUSLY_PERFORMED", " PRESENTED_BY", " PREVIOUSLY_LOCATED_IN", " NO_RELATION", " SALE\n\n Explanation:\n The text mentions that tickets for the", " PERFORMS_AT", " DIRECTS", " DIRECTS\n\n Explanation:\n The text states that \"We are", " CONCERT.\n\n Explanation:\n The text mentions that Car", " LOCATION.\n\n Explanation:\n The text mentions that the", " TIME_OF_EVENT\n\n Entities: \n [{'head': ['", " TICKET_SALES_LOCATION", " LOCATION.\n\n Explanation:\n The text mentions that tickets", " MAILING_ADDRESS", " AVAILABLE_FOR_SALE", " PERFORMS_IN.", " DIRECTOR_OF\n\n Explanation:\n The text mentions that", " DIRECTOR_OF\n\n Explanation:\n The text mentions that", " ORGANIZES", " LOCATION_OF\n or\n HOST_OF\n\n Explan", " ORGANIZES", " ORGANIZER", " LOCATION.IN.EVENT.LOCATION.ORGANIZER.CITY", " REQUIRES. This is because the text states that \"Please enclose a SAE", " SALES\n\n Explanation:\n The text mentions that tickets can", " CONCERT_SERIES_CONTAINS\n\n Explanation:\n ", " APPEARS_IN. This is because the text states that \"details of concerts", " APPEARS_IN. This is because the text states \"details of concerts will", " CONFIRMS_EVENT_FOR_ORGANIZATION", " LOCATION_IN_REGION", " TAKES_PLACE_IN", " PROCESSING_CONTACT_FOR_ORGANIZATION", " EVENT_LOCATION", " MAILING_ADDRESS", " AVAILABLE_FOR_SALE", " PRESENTS\n\n Explanation:\n The text mentions that '", " PRESENTER", " ORGANIZER", " ORGANIZER", " PRESENTER_OF\n\n Explanation:\n The text mentions", " LOCATION_OF\n OR LOCATED_AT (Both are accepted)", " PRESENTS \n\n Explanation:\n The text mentions that", " HOSTS_EVENT", " PREVIOUSLY_HOSTED", " SELLER_OF_TICKETS", " ORGANIZER", " PUBLISHER_FOR_EVENT", " LOCATION.IN.ORGANIZATION", " MAILING_ADDRESS", " SALES_AGENT", " LOCATION_OF\n Or\n NO_RELATION", " LOCATION_OF\n or\n PERFORMER_AT\n or\n", " LOCATION_OF\n or\n NO_RELATION (if 'Canter", " LOCATION_OF\n\n Explanation:\n The text mentions that", " LOCATION_OF\n or\n VENUE_FOR\n or\n", " LOCATION_IN_LOCATION", " LOCATION_OF\n or\n HOST_OF\n or\n ", " CONCERT_ON.", " PREVIOUSLY_PERFORMED_AT", " LOCATION_OF_EVENT", " LOCATION_OF\n\n Explanation:\n The text mentions that", " LOCATION_IN_TIME_OF_EVENT", " LOCATION_OF\n or\n ADDRESS_OF\n or\n ", " MAILING_ADDRESS", " SALE_OF_TICKETS", " MAILING_ADDRESS_FOR_EVENT", " MAILING_ADDRESS", " MAILING_ADDRESS", " MAILING_ADDRESS", " MAILING_ADDRESS", " MAILING_ADDRESS", " PROVIDES_ADDRESS", " MAILING_ADDRESS_FOR_EVENT", " PREVIOUSLY_OCCURRED_ON", " AVAILABLE_AT", " REQUIRES\n\n Explanation:\n The text mentions that tickets", " CORRESPONDS_WITH", " MAILING_ADDRESS", " MAILING_ADDRESS", " MAILING_ADDRESS", " SALE_OF_TICKETS_ON_DATE", " SALES_FROM\n\n Explanation:\n The text mentions that", " SALES_PERSON\n\n Explanation:\n The text mentions", " SALES_FROM\n\n Explanation:\n The text mentions that", " SALES_FROM\n\n Explanation:\n The text mentions that", " SALES_LOCATION", " SALES_OF\n\n Explanation:\n The text mentions that", " SALE_OF_TICKETS_FOR\n\n Or, if no relation", " SALE_OF_TICKETS_FOR\n\n Explanation:\n", " SALES_AT\n\n Explanation:\n The text mentions that", " SALES_FROM_YEAR", " AVAILABLE_FROM", " SELLER\n\n Explanation:\n The text mentions that tickets can", " SALES_LOCATION", " REQUIRES\n\n Explanation:\n The text states that \"Tick" ]

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[ "SOS Lesosky, Garden Party Without Borders. Digging in.\nSunday, November 13, 2016\nDrain The Swamp.\nThe Garden Party is Protesting the \"Draining the Swamp in Washington\" statement made by Donald Duck. Swamps are special places in our Enviroment, kind of like a natural purse, unlike the Public Purse in Washington surrounded mostly with yellow slime, a real swamp purse distributes its gifts of life, including little black flys, to our diverse life support system. The Public Purse mostly supports the life support system of the yellow slime. So Mr Trump, quite insulting Swamps. There is no comparison." ]

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"Washington" ] } ], [ { "head": [ "112", "113", "LOC", "Swamps" ], "tail": [ "92", "95", "ORG", "The Public Purse" ] } ], [ { "head": [ "112", "113", "LOC", "Swamps" ], "tail": [ "108", "109", "PERSON", "Trump" ] } ] ]

[ " ORGANIZER", " PROTESTED_ON", " ORGANIZER", " PROTESTS", " PROTESTS", " PROTESTS", " PROTESTS", " PROTESTS", " PROTESTS", " PROTESTS", " ORGANIZED_BY", " PROTESTS", " SAME_ORGANIZATION", " PROTESTS", " PROTESTS", " PROTESTS", " PROTESTS", " PROTESTS", " PROTESTS", " PROTESTS", " PROTESTS", " PROTESTED_BY", " PROTESTED_BY", " PROTESTS", " PROTESTS", " PROTESTED_IN", " PROTESTED_BY", " PROTESTED_BY", " PROTESTED_BY", " ORGANIZED_BY", " ORG_NAME_ALIAS", " PROTESTS_ON\n\n Explanation:\n The text describes The Garden", " PROTESTS", " PROTESTS", " PROTESTS", " PROTESTS", " DIFFERENT_FROM", " PROTESTS", " PROTESTS", " PROTESTS", " PROTESTS", " PROTESTS", " PROTESTED_BY", " COMPARED_TO", " STATEMENT_OF_PROTEST_AGAINST", " COMPARED_TO", " PROTESTED_BY", " PROTESTS", " PROTESTED_BY", " PROTESTED_BY", " PROTESTED_ON", " PROTESTS", " STATEMENT_OF_PROTESTED_BY_PERSON", " DISPARAGES", " STATEMENT_ABOUT", " DISPARAGES", " PROTESTED_BY", " PROTESTED_BY", " PROTESTS", " PROTESTS", " PROTESTED_ON", " PROTESTS", " SUBJECT_OF.", " PROTESTED_BY", " FUNDING", " SAME_ORGANIZATION", " INSULTED_BY", " COMPARISON", " PROTESTS", " PROTESTS", " PROTESTED_ON", " PROTESTS", " PROTESTED_BY", " PROTESTED_BY", " SUPPORTS", " COMPARISON", " PROTESTED_BY", " COMPARISON_OF\n\n Explanation:\n The text compares", " PROTESTS", " PROTESTS", " PROTESTED_ON", " PROTESTS", " SUBJECT_OF.", " PROTESTS", " SAME_ENTITY", " FUNDING", " INSULTED_BY", " DIFFERENT_FROM", " PROTESTS", " PROTESTS", " PROTESTED_ON", " PROTESTS", " PROTESTED_BY", " PROTESTED_BY", " DISPARAGES", " PROTESTED_BY", " DISPARAGES", " INSULTED_BY", " ORGANIZES", " PROTESTS", " PROTESTED_ON", " PROTESTS", " PROTESTS", " PROTESTS", " DIFFERENT_FROM", " PROTESTS", " DIFFERENT_FROM", " PROTESTS" ]

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[ "Whoa! What a FUN event to photograph!! I've never been to a Greek Baptism before. Dimitri's mom made sure that I was well informed about what to expect before the ceremony. Everything was done three times. There was oil, water, a hair cut, and a GORGEOUS church! And boy, do these Greeks know how to party! And the guest of honor was a trooper- he didn't even peep when he was fully submerged in water! 3 times!!! I couldn't' believe how he cooperatively went from person to person as they danced the traditional Greek dance, and as others passed him around the reception. These parents should be VERY proud of their good boy! Congratulations to Dimitri!!!" ]

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[ " GREEK_CHILD_OF", " PARTIED_AT\n\n Explanation:\n The text describes Dimit", " 'BELONGS_TO' or 'NATIONALITY' or 'ETHN", " SUBJECT_HAS_PROPERTY\n or\n PERSON_HAS_QUANTITY", " HAS_ETHNICITY", " SUBJECT_OF\n\n Explanation:\n The text describes Dimitri", " NATIONALITY", " SAME_PERSON", " SUBJECT_OF\n\n Explanation:\n The text describes Dimitri", " HOSTED_BY", " PARTI_OF \n or\n MEMBER_OF\n or\n ", " HOST_OF\n or\n PERFORMER_OF\n or\n ", " GUEST_OF_HONOR", " GUEST_OF_HONOR", " HOSTED_BY", " HOSTED_BY", " GREEK_PERSON", " SAME_PERSON", " SUBJECT_HAS_PROPERTY\n or\n PERSON_HAS_QUANTITY", " HOST_NATIONALITY", " SUBJECT_OF\n\n Explanation:\n The text describes Dimitri", " GREEK - host_of - Dimitri" ]

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[ "Tomislav Šilipetar was born in Zagreb. In 2014 he graduated from the Academy of Fine Arts in Zagreb in the class of Igor Rončević-Painting Department. In 2015 he became a member of HDLU. In addition to many group exhibitions, he has had a number of solo exhibitions in Croatia as well as other countries. He is the winner of the rector's award for excellence in 2013. The paintings are mostly made in acrylic, and the themes vary from solitude and isolation to human existence in the society that condemns. It favors the simple colors, and the line that goes perfectly with the total preoccupation of getting out of the 'boxes' of academy. In 2016 he gained the status of an independent artist." ]

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[ " BORN_IN.", " GRADUATED_FROM", " GRADUATED_FROM", " BORN_IN.", " GRADUATED_FROM", " MEMBER_OF", " MEMBER_OF", " HAS_EXHIBITED_IN", " WINNER_OF", " INDEPENDENT_ARTIST", " BORN_IN.", " GRADUATED_FROM", " GRADUATED_FROM", " LOCATION_IN.", " GRADUATED_FROM", " MEMBER_OF", " MEMBER_OF", " LOCATION_IN.", " RECTOR_AWARD_FOR_EXCELLENCE", " INDEPENDENT_ARTIST", " GRADUATED", " GRADUATED_FROM", " GRADUATED_FROM", " GRADUATED_FROM", " GRADUATED_FROM", " MEMBER_OF", " GRADUATED_IN.", " GRADUATED_FROM", " LOCATION_OF\n ORGANIZATION_OF\n\n Explan", " GRADUATED_FROM", " LOCATION_OF\n OR:\n EDUCATED_AT", " TEACHED_BY", " MEMBER_OF", " MEMBER_OF", " HAS_LOCATION", " RECTOR_AWARD", " INDEPENDENT_ARTIST", " BORN_IN", " LOCATION_IN_LOCATION", " GRADUATED_FROM", " BORN_IN.", " GRADUATED_FROM", " JOINED", " MEMBER_OF", " LOCATION_IN.", " RECTOR_AWARDED\n\n Entities: \n [{'head':", " INDEPENDENT_ARTIST_OF\n\n Explanation:\n ", " STUDIED_AT.", " LOCATION_OF_STUDY", " GRADUATED_FROM", " GRADUATED_FROM", " LOCATION_OF_STUDY", " MEMBER_OF", " MEMBER_OF", " EDUCATED_IN", " AWARDED_BY", " INDEPENDENT_ARTIST", " MEMBER_OF", " JOINED_LOCATION", " MEMBER_OF", " MEMBER_OF", " JOINED\n\n Explanation:\n Tomislav Šilipet", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF\n\n Explanation:\n Tomislav Šilip", " MEMBER_OF\n ['HDLU', 'Tomislav Šilipet", " MEMBER_OF", " HAS_NATIONALITY_OR_RESIDENCE\n OR:\n ", " BORN_IN.", " GRADUATED_FROM", " STUDIED_AT", " LOCATION_OF_BIRTH", " GRADUATED_FROM", " JOINED_ORGANIZATION", " MEMBER_OF", " RECTOR_AWARD_FOR_EXCELLENCE", " INDEPENDENT_ARTIST", " RECTOR_AWARD_FOR_EXCELLENCE", " RECTOR_AWARDED\n\n Explanation:\n The text states that", " RECTOR_AWARD", " RECTOR_AWARDED\n\n Explanation:\n The text states that", " AWARDED_BY", " MEMBER_OF", " WINNER_OF\n ['Tomislav Šilipetar', 'Cro", " INDEPENDENT_ARTIST", " GAINED_STATUS\n This indicates that Tomislav Šilipetar gained", " INDEPENDENT_FROM", " GAINED_STATUS\n This artist gained the status of an independent artist in Zagreb", " INDEPENDENT_FROM", " MEMBER_OF", " IN_COUNTRY" ]

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[ "This the official channel of Pakistani film actress Sahiba Afzal. Find out the life’s secrets to happiness and joy with Sahiba as she’s takes you on a tour of her busy celeb life and shares her favourite cooking recipes and make up tips and tricks.\nLifestyle with Sahiba is managed by Dot Republic Media. All Copyright Rights Reserved.\nSubscribe to our YouTube channel:" ]

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[ " OFFICIAL_CHANNEL_OF", " OFFICIAL_CHANNEL_OF", " MANAGED_BY", " NATIONALITY", " SELF", " CREATED_BY", " MANAGED_BY", " NATIONALITY", " IS_IDENTITY_OF", " CREATED_BY", " MANAGED_BY", " OWNER_OF", " OWNER", " MANAGED_BY", " MANAGES", " MANAGES", " MANAGES", " MANAGES" ]

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[ "Sea for yourself\nMarine Lab Weekend\nNext Event: March 1-3, 2024\nJoin fellow alumni, family, and friends at the Duke Marine Laboratory for an unforgettable weekend experience. Our weekends at the Marine Lab offer alumni an informed view of these treasured landscapes and the ecological challenges they face, complete with hands-on activities and field trips to explore the wonders of North Carolina's rich coastline.\nEach year we engage a new topic with the most up to date research and led by some of the world's leading experts on oceans and the animals who depend on them. Past weekends have explored sounds of the sea, marine megafauna, and the ocean floor. Make your reservation today, as this is one of the most popular Forever Learning programs.\nQuestions? Call Latishia Futrell at (919) 684-6097" ]

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[ " NEXT_EVENT", " IS_PART_OF", " HOSTS", " HOSTS", " SAME_ORG", " LOCATION", " HAS_ANNUAL_EVENT", " HAS_PREVIOUSLY_EXPLORed", " RESERVATION_REQUESTED_BY", " PROGRAM_OF", " CONTACT_PERSON", " NEXT_EVENT", " NEXT_EVENT", " NEXT_EVENT", " LOCATION", " NEXT_EVENT", " CONTACT_PERSON", " IS_INSTANCE_OF\n\n Explanation:\n The text states that \"", " UPCOMING_EVENT", " HOSTS", " HOSTS", " IDENTICAL_ORGANIZATIONS", " LOCATION_IN.", " HOLDS_EVENT_EACH_YEAR", " HAS_PREVIOUSLY_EXPLORED", " REGISTRATION_DEADLINE", " PROGRAM_OF", " CONTACT_PERSON", " NEXT_EVENT", " HOSTED_BY", " NEXT_EVENT", " LOCATION", " PROGRAM_OF", " CONTACT_PERSON", " HAS_EVENT", " HOSTED_BY", " HAS_EVENT", " LOCATION", " PROGRAMME_OF\n\n Explanation:\n The text describes the", " CONTACT_PERSON", " IDENTICAL", " NEXT_EVENT", " IS_PART_OF", " HOSTS\n\n Explanation:\n The text states that \"Join fellow", " HOSTS\n\n Explanation:\n The text states that \"Join fellow", " LOCATION_IN.", " HAS_ANNUAL_EVENT", " HAS_PREVIOUSLY_EXPLORed", " REGISTRATION_DEADLINE", " PROGRAM_OF", " CONTACT_PERSON", " LOCATION", " LOCATION_EVENT_DATE", " LOCATION_OF", " LOCATION", " LOCATION_OF\n or\n HOST_OF\n or\n ", " LOCATION_OF", " TOPIC_CHANGE_YEARLY_IN\n This relation indicates that the topic", " EXPLORATION_LOCATION", " LOCATION_AT_TIME", " HOST_OF", " CONTACT_PERSON", " YEARLY_EVENT", " YEARLY_EVENT_OF", " HAS_EVENT", " TOPIC_LOCATION", " YEARLY_EVENT\n ORGANIZED_BY", " CONTACT_PERSON", " HAS_PREVIOUSLY_OCCURRED_AT", " PAST_EVENTS_OF", " PAST_EVENTS_OF", " EXPLORED_IN", " PAST_EVENTS_OF", " CONTACT_PERSON", " RESERVATION_FOR\n\n Explanation:\n The text mentions", " PROVIDES_EVENTS", " RESERVATION_FOR\n\n Explanation:\n The text mentions", " LOCATION_IN.", " RESERVATION_FOR\n\n Explanation:\n The text mentions", " CONTACT_PERSON", " PROGRAM_OF", " UPCOMING_EVENT", " PROGRAM_OF", " PROGRAMS_OF.", " PROGRAMS_OF.", " PROGRAM_OF", " LOCATION", " HAPPENS_ANNUALLY", " HAS_PREVIOUSLY_EXPLORed", " RESERVATION_REQUESTED_BY", " CONTACT_PERSON", " CONTACT_PERSON", " CONTACT_PERSON_FOR_EVENT", " CONTACTED_BY", " CONTACT_PERSON", " CONTACT_PERSON", " CONTACT_PERSON", " LOCATION_OF\n\n Explanation:\n The text mentions that", " HAPPENS_ANNUALLY", " LEADS\n\n Explanation:\n The text states that Latishia", " CONTACT_INFO", " CONTACT_PERSON_FOR_ORG" ]

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[ "Since Coronavirus was first detected, researchers have rushed to find a vaccine. But there has been no medication to treat it since the pandemic spread. A medical team in Newton, hopes they’re close to changing that.\n“Some of the biggest concern is whether we’ll see a return of this pandemic in the years to come,” said Dr. Richard Glover with Alliance for Multispecialty Research in Newton.\nHis team is about to begin what’s called a Phase II Covid-19 Vaccine Clinical Research Study." ]

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[ "Tempted by lowered defences, riches on the Roman side of the Rhine, or just pushed forward by peoples further east, Germanic tribes started to raid and then come across western Europe's great river in large numbers from the third century onward.\nJoining Angus to discuss the issue XII.6 An Empire Under Pressure are regulars Jasper Oorthuys, Lindsay Powell, Murray Dahm, Myke Cole and Marc DeSantis, plus all those patrons who watched and contributed live as we recorded.\nAre you a patron yet? Fancy access to the exclusive live feed when we record? Why not sign up here." ]

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[ " RIVER_BANK\n\n Explanation:\n The text mentions that", " RIVER_BANK\n\n Explanation:\n The text mentions that", " DISCUSSION_WITH", " DISCUES", " DISCUES", " DISCUES", " DISCUSSION_PARTICIPANT", " DISCUSSION_PARTICIPANT", " RIVER_BANK_NEARBY\n\n Explanation:\n The", " RIVER_BANK_NEAR\n\n Explanation:\n The text", " RIVER_BORDER", " TIME_PERIOD_STARTED_IN_LOCATION", " NEAR.\n\n Explanation:\n The text mentions that Angus", " DISCUES.", " DISCUES", " JOINED_BY", " DISCUSSION_PARTICIPANT", " DISCUSSION_WITH", " RAIDED_NEAR\n\n Explanation:\n The text states", " COVERED_BY", " DISCUSSION_WITH", " DISCUED_WITH", " DISCUSSION_PARTICIPANT", " DISCUES", " DISCUSSION_PARTICIPANT", " DISCUSSION_PARTICIPANT", " RIVER_BANK\n\n Explanation:\n The text mentions that", " RIVER_BORDERED_BY\n OR:\n NEAR_BOD", " FROM_LOCATION", " FROM_TIME\n\n Explanation:\n The text states that Germanic tribes", " IN_REGION", " DISCUES", " DISCUES", " DISCUES.", " DISCUSSION_PARTICIPANT", " DISCUSSION_PARTICIPANT", " FROM_TIME_PERIOD\n OR:\n CAUSED_BY\n ", " FROM_TIME_PERIOD\n\n Entities: \n [{'head", " DISCUSSION_WITH", " DISCUED_WITH", " DISCUES", " LIVED_IN_TIME_PERIOD", " EXISTED_DURING", " DISCUES", " ROMAN_RULES_OVER_ANGUS", " NEAR_RIVER", " DISCUES\n\n Explanation:\n Angus is the head entity and", " DISLOCATED_IN\n\n Explanation:\n The text mentions that", " BEGAN_IN_TIME_PERIOD", " JOINED_BY", " JOINED_BY", " JOINED_BY", " JOINED_FORCES", " JOINED_FORMS_PANEL", " DISCUED_TOPIC_OF\n\n Explanation:\n Jasper", " NEAR_RIVER", " DISCUED_TOPIC", " DISCUES_WITH\n\n Explanation:\n Jasper Oorthu", " BEGAN_IN_TIME_PERIOD", " DISCUSSION_WITH", " JOINED_BY", " JOINED_FORMS_PART_OF\n or\n COLLABORAT", " DISCUSSION_PARTICIPANT", " DISCUSSION_PARTICIPANT", " DISCUES\n\n Explanation:\n Lindsay Powell is the head", " NEAR_RIVER", " DISCUES", " DISCUES_WITH\n\n Explanation:\n In the text, Lind", " DISCUED_IN_THE_PAST", " DISCUSSION_WITH", " JOINED_BY", " JOINED_BY", " DISCUSSION_PARTICIPANT", " JOINED_BY", " CAUSED_BY", " NEAR_RIVER", " DISCUED_TOPIC_OF\n\n Explanation:\n Murray D", " DISLOCATED_IN\n\n Explanation:\n Murray Dahm is", " BEGAN_IN_TIME_PERIOD", " JOINED_BY", " JOINED_BY", " JOINED_BY", " JOINED_FORMS_PART_OF\n or\n WAS_A", " JOINED_BY", " CAUSED_BY", " NEAR.\n\n Explanation:\n The text mentions that Germanic", " DISCUES_WITH\n\n Explanation:\n Myke Cole is a", " DISLOCATED_IN\n\n Explanation:\n Myke Cole is dis", " BEGAN_IN_TIME_PERIOD", " JOINED_BY", " DISCUSSION_PARTICIPANT", " JOINED_BY", " JOINED_FORMS_PART_OF\n or\n WAS_A", " DISCUSSION_PARTICIPANT", " 'BELONGS_TO' or 'PART_OF' or 'ORIGIN", " NEAR_RIVER", " DISCUED_TOPIC_OF\n\n Explanation:\n Marc De", " BELONGS_TO", " BEGAN_IN_TIMEPERIOD", " JOINED_BY", " JOINED_BY", " JOINED_BY", " JOINED_BY", " JOINED_FORMS_PART_OF\n or\n COLLABORAT" ]

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[ "Correspondence with O. Veblen, Sep. 1931-Oct. 1931\nScope and Contents\nLinfoot completed the manuscript of his book on almost periodic functions during his stay at Princeton, 1929-31\n- Creation: Sep. 1931-Oct. 1931\n- From the Fonds: Linfoot, Edward Hubert, 1905-1982 (mathematician and astronomer) (Person)\nConditions Governing Access\nUnless restrictions apply, the collection is open for consultation by researchers using the Manuscripts Reading Room at Cambridge University Library. For further details on conditions governing access please contact firstname.lastname@example.org. Information about opening hours and obtaining a Cambridge University Library reader's ticket is available from the Library's website (www.lib.cam.ac.uk).\nLanguage of Materials" ]

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[ " CORRESPONDED_WITH", " CREATED_BY", " CORRESPONDED_WITH", " LOCATION_AT.\n Or, if you prefer, HOSTED_AT", " STAYED_AT", " CORRESPONDED_WITH", " CORRESPONDED_WITH", " COLLABORATOR", " AUTHOR_OF\n\n Explanation:\n The text describes that O.", " SERVES_AT\n\n Explanation:\n The text states that \"", " HOSTED_BY", " NO_RELATION", " HOSTED_BY", " CORRESPONDS_WITH", " CORRESPONDED_WITH", " CREATED_BY", " CREATED_BY", " LOCATION_AT. This indicates that the location (Princeton) is the place where", " CREATED_BY", " CREATED_BY", " CREATED_AT", " CREATED_AT", " CREATED_AT", " CORRESPONDED_WITH", " CREATED_DURING", " CREATED_BY", " LOCATION_AT.\n Or, if you prefer, you can use the following", " CREATED_DURING", " CREATED_DURING", " CREATED_BY", " CREATED_BY", " AUTHOR_OF\n\n Explanation:\n The text describes that Edward Hub", " LOCATION", " HOSTED_BY", " GOVERNED_BY", " HOSTED_BY", " HOSTED_BY", " CORRESPONDED_WITH", " CREATED_DURING", " CREATED_BY", " STAYED_AT", " WROTE_DURING", " CREATED_DURING", " SAME_PERSON", " SAME_AS", " AUTHOR_OF\n\n Explanation:\n The text states that Linfo", " ACCESSIBLE_FROM", " HAS_LOCATION", " WROTE_DURING", " HAS_LOCATION", " HAS_COLLECTION_AT", " HOSTED_BY", " LOCATION_AT. This indicates that Princeton is the location where Sep. 1", " LOCATION_AT. This relation indicates that the head entity is the location where the event", " LOCATION_AT.\n Or, if you prefer, STAYED_AT", " LOCATION_FROM_PERIOD", " LOCATION_AT. This indicates that Princeton is the location where Sep. 1", " LOCATION_OF_CREATION", " LOCATION_AT.\n Or, if you prefer, HOSTED_AT", " LOCATION_AT\n\n Explanation:\n The text states that L", " LOCATION.AT.ORGANIZATION", " HOSTED_AT", " DURING", " LOCATION_OF\n\n Explanation:\n The text states that L", " LOCATION.AT.LOCATION", " STAYED_AT", " PERIOD_OF_CREATION", " STAYED_AT", " STAYED_AT", " STAYED_AT", " STAYED_AT", " STORAGE_LOCATION", " STORAGE_LOCATION", " STAYED_AT", " CORRESPONDED_WITH", " CREATED_BY", " CREATED_BY", " STAYED_AT", " CREATED_BY", " CREATED_BY", " CREATED_AT", " CREATED_AT", " CREATED_AT", " CORRESPONDED_WITH", " CREATED_DURING", " CREATED_BY", " SAME_PERSON", " STAYED_AT", " WROTE_DURING", " CREATED_DURING", " SAME_AS", " AUTHOR_OF\n\n Explanation:\n The text states that Linfo", " ACCESSIBLE_FROM", " HAS_LOCATION", " NO_RELATION", " HAS_LOCATION", " ACCESSION\n\n Explanation:\n The text describes that the collection of", " CORRESPONDED_WITH", " CREATED_BY", " CREATED_BY", " SAME_PERSON", " STAYED_AT", " CREATED_DURING", " CREATED_DURING", " SPOUSE OR AUTHOR_OF OR COLLABORATOR", " AUTHOR_OF\n\n Explanation:\n The text states that the manuscript", " ACCESSIBLE_FROM", " HAS_LOCATION", " NO_RELATION", " HAS_LOCATION", " ACCESSION\n\n Explanation:\n The text describes Edward Hubert L", " CORRESPONDED_WITH", " FROM_PERSON", " AUTHOR", " STAYED_AT", " AUTHOR", " AUTHOR_OF", " PROVENANCE", " PROVENANCE", " PROVENANCE", " CONTAINS\n\n Explanation:\n The text states that \"Unless", " ACCESSION_LOCATION", " ACCESSION_LOCATION", " LOCATION_AT.\n Or, if you prefer, you can use the following", " ACCESSION_LOCATION", " ACCESSIBLE_FROM", " LOCATION_OF\n ORGANIZATION_OF\n # The text", " LOCATION_OF\n OR LOCATED_AT (both are valid for this", " LOCATION_OF\n\n Explanation:\n The text states that the", " LIBRARY_OF\n\n Explanation:\n The text states that", " HOSTED_BY", " LIBRARY_OF\n\n Explanation:\n The text states that", " HOSTED_BY", " LOCATION_FROM", " HOSTED_AT", " HAS_PERIOD [This is the correct relation label. The head entity is the", " HOSTED_BY", " HAS_LOCATION", " PROVENANCE", " LOCATION", " ACCESSIBLE_AT", " SAME_ORGANIZATION", " LIBRARY_OF", " CORRESPONDED_WITH", " CREATED_DURING", " WORKED_ON\n\n Explanation:\n The text states that L", " STAYED_AT", " WORKED_ON\n\n Explanation:\n The text states that L", " WORKED_ON\n\n Explanation:\n The text states that Edward", " ACCESSION_PLACE", " ACCESSION_LOCATION", " ACCESSION\n\n Explanation:\n The text describes the creation of L", " LIBRARY_OF\n OR\n HOLDS_CORRESP", " HAS_PERIOD [This is the correct relation label. The head entity is the", " LIBRARY_OF\n\n Explanation:\n The text states that", " HOSTED_BY", " HOSTED_AT", " HOSTED_AT", " HAS_PERIOD [This is the correct relation label. The head entity is the", " HOSTED_BY", " HAS_LOCATION", " LIBRARY_OF\n\n Explanation:\n The text describes that", " PART_OF", " SAME_ORGANIZATION", " PROVIDES_INFORMATION", " HOST_OF", " CORRESPONDENCE", " HAS_PERIOD [This is the correct relation label. The library has the manuscript", " CONTAINS", " HAS_COLLECTION", " LOCATION_AT.\n\n Explanation:\n The text states that", " HOSTED_BY", " HAS_PERIOD [This is the correct relation label. The library has the manuscript", " HAS_COLLECTION", " HAS_COLLECTION", " OWNER", " PART_OF", " LIBRARY_OF\n\n Explanation:\n The text states that", " ACCESSIBLE_THROUGH", " LIBRARY_OF\n\n Explanation:\n The text states that" ]

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[ "Deren No. 7\nLasso 7 stone round diamond hook earring. A cascading statement.\nCarat weight 0.95\n\"The way back is always shorter.\" - Maya Deren\nToday one of the most influential figures of American cinema history, Deren was an experimental filmmaker and important promoter of the avant-garde.\nGenuine refurbished diamond that are conflict-free and eco-friendly.\n18k recycled gold. Chain sourced in Italy.\nAll of our partner suppliers are members of Responsible Jewelry Council.\nEnjoy complimentary shipping and returns on all orders.\nWe at ARESA New York want you to be completely satisfied with your purchase. Easy returns and exchanges within 10 days of original purchase." ]

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[ " EXPERIMENTED_FILMMAKER_OF\n or\n IMP", " PRODUCER_OF", " CHAIN_SOURCED_IN.", " MEMBER_OF", " RETAILER", " SUBJECT_OF. This text mentions that Maya Deren is the subject of the", " PRODUCER_OF \n\n Explanation:\n The text ment", " CHAIN_SOURCED_IN.", " MEMBER_OF", " RETAILER", " PRODUCES\n\n Explanation:\n The text mentions that there", " CREATED_BY or PRODUCED or DESIGNED_BY or MADE", " MENTIONED_IN_CONTEXT", " NATIONALITY", " IS_A\n\n Explanation:\n In the text, Maya Der", " PROVIDES_MATERIAL (Maya Deren, 18k)", " CHAIN_SOURCED_IN.", " MEMBER_OF", " PRODUCER_OF\n\n Explanation:\n The text mentions", " RETURNS", " MENTIONED_IN_CONTEXT", " MENTIONED_IN_CONTEXT", " CHAIN_SOURCED_IN.", " MEMBER_OF", " SELLER_OF\n\n Explanation:\n The text mentions that", " EXPERIENCED_BY\n or\n INFLUENCED_BY", " 'AMERICAN_OF'", " CHAIN_SOURCED_IN.", " MEMBER_OF", " ORG_FOUNDED_BY\n ORG_IS_ASSOCIATED", " PRODUCT_QUANTITY", " PRODUCES\n\n Explanation:\n The text mentions that there", " SAME_AS", " MENTIONED_IN_CONTEXT", " 'NATIONALITY'", " PROVIDES_MATERIAL (or MANUFACTURED_FROM, depending", " CHAIN_SOURCED_IN.", " MEMBER_OF", " MANUFACTURER_RETAILER", " RETURNS", " PRODUCER_OF\n\n Explanation:\n The text mentions", " MANUFACTURER", " SOURCE_LOCATION", " MEMBER_OF", " PROVIDER", " SOURCE_LOCATION", " SOURCE_LOCATION", " CHAIN_SOURCED_IN.", " SOURCE_LOCATION", " SOURCE_IN.", " CHAIN_SOURCE", " CHAIN_SOURCED_IN.", " SOURCE_LOCATION", " CHAIN_SOURCED_IN.", " SOURCE_LOCATION", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " SOURCE_LOCATION", " MEMBER_OF", " MEMBER_OF", " SELLS\n\n Explanation:\n The text mentions that ARESA", " SELLER_OF\n\n Explanation:\n The text mentions that", " RETAILER_OF\n ORGANIZATION_PROMOTED_BY", " SOLD_ON\n\n Explanation:\n The text mentions that '", " ORG_OF\n\n Explanation:\n The text mentions that ARE", " SELLER_OF\n OR:\n PROMOTER_OF\n ", " PROVIDES_MATERIAL", " CHAIN_SOURCED_IN.", " MEMBER_OF", " EASY_RETURNS_WITHIN", " RETURNS_WITHIN", " RETURNS", " sourced_in", " MEMBER_OF", " RETURNS" ]

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[ "A native of Mobile, Nell is an associate professor of art at Auburn University. He earned his B.F.A. degree from Auburn in 1984 and his M.F.A. degree from Georgia State University in 1992. Nell won the Alabama Artist Award from the Museum’s Red Clay Survey exhibition in 1996, and was the recipient of an Individual Artist Fellowship from the Alabama State Council on the Arts in 1999. His work may be found in public and private collections throughout the Southeast, including the permanent collection of the Huntsville Museum of Art." ]

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[ " NATIVE_OF", " NATIVE_OF", " EDUCATED_AT", " EARNED_DEGREE", " EARNED_DEGREE", " EARNED_DEGREE_FROM", " EARNED_DEGREE", " NATIVE_OF", " WON_AWARD", " LOCATED_IN", " WON_AWARD", " RECIPIENT_OF", " RECIPIENT_OF_FELLOWSHIP", " RECIPIENT_OF\n This relation indicates that the head entity is the recipient of", " The work of Nell (from Mobile) may be found in the collections throughout the Southeast", " COLLECTED_BY", " NATIVE_OF", " EDUCATED_AT", " EDUCATED_AT", " EARNED_DEGREE", " EARNED_DEGREE", " EARNED_DEGREE_FROM", " EARNED_DEGREE", " SELF_REFERENCE", " RECIPIENT_OF_AWARD", " WORKS_AT\n\n Explanation:\n The text states that N", " WON_AWARD", " RECIPIENT_OF", " RECIPIENT_OF_FELLOWSHIP", " RECIPIENT_OF\n ['5', '6', 'PERSON', '", " WORKS_IN_REGION", " WORKS_AT\n or\n HAS_WORK_IN\n or", " NELL_IS_FROM\n\n Explanation:\n The text states that", " EDUCATED_AT", " ALMA_MATER", " EARNED_DEGREE", " EARNED_DEGREE", " EARNED_DEGREE_FROM", " EARNED_DEGREE", " EDUCATED_AT", " RECIPIENT_OF_AWARD", " The head entity (Auburn University) is the institution where the tail entity (Museum", " AWARDED_BY", " RECIPIENT_OF_GRANT", " RECIPIENT_OF_FELLOWSHIP", " RECIPIENT_OF\n\n Explanation:\n The text states that", " The work of Auburn University faculty members can be found in collections throughout the Southeast.", " The work of Nell (an associate professor of art at Auburn University) is found in", " NATIVE_OF", " EDUCATED_AT", " ALUMNI_OF", " EARNED_DEGREE", " EARNED_DEGREE", " EARNED_DEGREE_FROM", " EARNED_DEGREE", " EDUCATED_AT", " RECIPIENT_OF_AWARD", " PER_WORKED_FOR\n\n Explanation:\n The text states that", " RECEIVED_AWARD", " RECIPIENT_OF", " RECIPIENT_OF_FELLOWSHIP", " RECIPIENT_OF\n\n Explanation:\n Nell is the", " LOCATED_IN", " The work of Nell (from Auburn) is in the collection of the Huntsville", " BORN_IN.", " EARNED_DEGREE", " EARNED_DEGREE", " EARNED_DEGREE", " EARNED_DEGREE", " EARNED_DEGREE", " GRADUATED_FROM", " RECIPIENT_OF_FELLOWSHIP", " WORKS_IN_REGION", " COLLECTED_BY", " ORIGIN_IN.", " CREATED_BY", " EARNED_AT\n\n Explanation:\n The relation EAR", " EARNED_AT.\n\n Entities: \n [{'head", " EARNED_DEGREE_FROM", " CREATED_BY", " The work of art is in the collection of the Museum.", " RECIPIENT_OF_GRANT", " LOCATED_IN", " COLLECTED_BY", " EDUCATED_AT", " EARNED_DEGREE", " EARNED_DEGREE_FROM", " EARNED_DEGREE_FROM", " EARNED_DEGREE", " EARNED_DEGREE", " EARNED_DEGREE", " EARNED_DEGREE", " EARNED_AWARD_FROM", " EDUCATED_AT", " EARNED_DEGREE", " RECIPIENT_OF_GRANT", " RECIPIENT_OF_FELLOWSHIP", " RECEIVED_FELLOWSHIP", " EDUCATED_IN\n\n Explanation:\n The text states that", " EDUCATED_AT", " EDUCATED_AT", " EARNED_DEGREE", " EARNED_DEGREE", " EARNED_DEGREE", " EARNED_DEGREE", " EARNED_DEGREE", " GRADUATED_FROM", " RECIPIENT_OF_FELLOWSHIP", " WORKS_IN_REGION", " The entity ['the Huntsville Museum of Art'] has the relation 'COLLECTS_", " NATIVE_OF", " SELF_REFERENCE", " EDUCATED_AT", " EDUCATED_AT", " EARNED_DEGREE", " EARNED_DEGREE", " EARNED_DEGREE_FROM", " EARNED_DEGREE", " WON_AWARD", " WORKS_AT\n\n Explanation:\n The text states that N", " WON_AWARD", " RECIPIENT_OF_GRANT", " RECIPIENT_OF_FELLOWSHIP", " RECIPIENT_OF\n ['36', '37', 'PERSON", " WORKS_IN_REGION", " WORKS_AT or HAS_WORK_IN or EXHIBITED_", " ORIGIN.", " RECIPIENT_OF_AWARD", " AWARDED_BY", " AWARDED_BY", " EARNED_DEGREE_FROM", " RECIPIENT_OF_AWARD", " AWARDED_BY", " RECIPIENT_OF_GRANT", " FOUND_IN", " COLLECTED_BY", " LOCATION_OF\n\n Explanation:\n The text states that N", " The Museum is the home_of Nell.", " The Museum's collection is held by Auburn University.", " PERMANENT_COLLECTION_AT", " EARNED_DEGREE", " PERMANENT_COLLECTION", " EARNED_DEGREE_FROM", " EARNED_DEGREE", " The Museum's collection includes work by Nell.\n Therefore, the relation label is", " AWARDED_BY", " RECIPIENT_OF_AWARD", " RECIPIENT_OF_GRANT", " RECIPIENT_OF_FELLOWSHIP", " RECIPIENT_OF_FELLOWSHIP", " COLLECTION_IN_REGION", " PERMANENT_COLLECTION", " WON_AWARD_FROM", " WON_AWARD", " RECEIVED_AWARD_FROM", " RECEIVED_AWARD_FROM", " EARNED_DEGREE", " WON_AWARD", " WON_AWARD", " RECIPIENT_OF", " FOUND_IN", " The Huntsville Museum of Art has [COLLECTION] Nell's work.", " ORIGIN.", " RECIPIENT", " RECIPIENT_OF_FELLOWSHIP", " RECIPIENT_OF_FELLOWSHIP", " EARNED_AT\n\n Explanation:\n The relation EAR", " RECIPIENT", " RECIPIENT_OF_GRANT", " RECIPIENT_OF", " LOCATED_IN", " COLLECTED_BY", " RESIDED_IN.", " RECIPIENT_OF", " FUNDING.", " FUNDING", " RECEIVED_FELLOWSHIP", " FUNDING", " FUNDING_ORGANIZATION", " RECIPIENT_OF_GRANT", " RECIPIENT_OF", " GRANTED_BY", " FUNDING", " RECIPIENT_OF\n\n Entities: \n [{'head':", " GRANTED_BY", " RECIPIENT_OF", " FUNDING_ORGANIZATION_FOR_LOCATION", " FUNDING", " RECIPIENT_OF\n\n Explanation:\n The text states that", " RECIPIENT_OF", " RECIPIENT_OF\n ['71', '72'] are the dates", " RECIPIENT_OF\n OR\n INDIVIDUAL_AWARD", " EARNED_DEGREE", " RECIPIENT_OF\n ['71', '72'] are the start", " RECIPIENT_OF_AWARD", " RECIPIENT_OF", " FOUND_IN", " COLLECTED_BY", " NELL_IS_FROM_MOBILE", " WORKS_IN_REGION", " The entities refer to the same organization.\n\n Label: \n SAME_", " The work of Nell may be found in collections throughout the Southeast, including Auburn.", " EARNED_DEGREE", " LOCATION_OF\n OR\n PRODUCED_AT\n OR", " EARNED_DEGREE_FROM", " EARNED_DEGREE", " WORKS_IN_REGION", " CAN_BE_FOUND_IN", " COLLECTION_IN.", " WORKED_IN\n\n Explanation:\n The text states that N", " LOCATED_IN", " RECIPIENT_OF_FELLOWSHIP", " RECIPROCATED_WITH\n\n Explanation:\n The text", " COLLECTED_BY", " LOCATED_IN", " HAS_WORK_IN\n or\n IS_FOUND_IN\n ", " COLLECTION_AT\n\n Explanation:\n The text states that the", " COLLECTION_AT\n\n Explanation:\n The text states that \"", " WORKED_FOR\n\n Explanation:\n The text states that \"", " COLLECTED_BY", " EDUCATED_AT", " The Huntsville Museum of Art has a collection that includes work from 1992", " HAS_WORK_IN\n\n Explanation:\n The text states that", " COLLECTED_BY", " The Huntsville Museum of Art is the collector_of Nell.", " The Huntsville Museum of Art collected Nell's work in 1996", " RECIPIENT_OF_GRANT", " FUNDING_ORGANIZATION", " RECIPIENT_OF_AWARD", " COLLECTED_IN" ]

[ [ "3", "4", "GPE", "Mobile" ], [ "5", "6", "PERSON", "Nell" ], [ "13", "15", "ORG", "Auburn University" ], [ "22", "23", "ORG", "Auburn" ], [ "24", "25", "DATE", "1984" ], [ "27", "28", "WORK_OF_ART", "M.F.A." ], [ "30", "33", "ORG", "Georgia State University" ], [ "34", "35", "DATE", "1992" ], [ "36", "37", "PERSON", "Nell" ], [ "38", "42", "WORK_OF_ART", "the Alabama Artist Award" ], [ "44", "45", "ORG", "Museum" ], [ "51", "52", "DATE", "1996" ], [ "58", "62", "WORK_OF_ART", "an Individual Artist Fellowship" ], [ "63", "70", "ORG", "the Alabama State Council on the Arts" ], [ "71", "72", "DATE", "1999" ], [ "85", "86", "LOC", "Southeast" ], [ "92", "97", "ORG", "the Huntsville Museum of Art" ] ]

[ "Thom E. Smith received his B.A. degree in English from Louisiana State University in 1990. In 1993, Mr. Smith was awarded a J.D. from Boston College School of Law and was thereafter admitted to the bar in Massachusetts, Louisiana, and California. Since 1995, Mr. Smith’s practice has primarily been in product liability and mass tort litigation. At Audet & Partners, LLP, as mass tort case coordinator, Mr. Smith focuses his work on the organization and administration of litigation, settlement, and claim processing of defective pharmaceutical and medical device cases involing Transvaginal Mesh, Plavix, and Granuflo." ]

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Smith", " STARTED_WORKING_AT", " SAME_AS", " WORKS_FOR", " SAME_AS", " WORKS_ON", " WORKED_ON", " WORKS_ON", " RECEIVED_DEGREE", " RECEIVED_DEGREE", " RECEIVED_DEGREE", " RECEIVED_DEGREE", " RECEIVED_DEGREE_IN\n\n Entities: \n ", " RECEIVED_DEGREE_FROM", " PRACTICES_IN", " RECEIVED_DEGREE", " WORKS_FOR", " RECEIVED_DEGREE", " EDUCATED_AT", " EDUCATED_IN.", " EDUCATED_AT", " RECEIVED_DEGREE", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " RECEIVED_DEGREE_IN\n\n Entities: \n ", " EDUCATED_AT", " ADMITTED_IN.", " STARTED_WORKING_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " NO_RELATION", " INVOLVED_IN", " RECEIVED_DEGREE", " EDUCATED_AT", " RECEIVED_DEGREE", " RECEIVED_DEGREE", " RECEIVED_DEGREE_IN\n\n Entities: \n ", " RECEIVED_DEGREE_FROM", " WORKED_IN", " RECEIVED_DEGREE", " WORKED_FOR", " RECEIVED_DEGREE", " RECEIVED_DEGREE", " EDUCATED_AT", " RECEIVED_DEGREE", " RECEIVED_DEGREE", " AWARDED_IN_JURISDICTION", " RECEIVED_DEGREE_IN\n\n Entities: \n ", " ADMITTED_TO", " RECEIVED_DEGREE", " WORKED_FOR", " RECEIVED_DEGREE", " 'SELF'", " RECEIVED_EDUCATION_IN", " RECEIVED_DEGREE_FROM", " RECEIVED_DEGREE", " RECEIVED_DEGREE", " EDUCATION", " RECEIVED_DEGREE_FROM", " ADMITTED_TO_BAR", " RECEIVED_DEGREE_AT", " ADMITTED_TO\n\n Explanation:\n The text states that", " SINCE", " SAME_PERSON", " WORKS_FOR", " SAME_PERSON", " WORKS_ON\n\n Explanation:\n The text states that Mr", " 'INVOLVED_IN'", " INVOLVED_IN", " EDUCATED_BY", " EDUCATED_AT", " EDUCATED_BY", " EDUCATED_AT", " RECEIVED_DEGREE_FROM", " RECEIVED_DEGREE_FROM", " ADMITTED_TO\n\n Explanation:\n The relation between the", " EDUCATED_BY", " WORKS_FOR", " EDUCATED_BY", " RECEIVED_DEGREE", " RECEIVED_DEGREE", " EDUCATED_AT", " RECEIVED_DEGREE", " GRADUATED_FROM", " RECEIVED_DEGREE", " EDUCATED_AT", " ADMITTED_TO", " EDUCATED_AT", " ADMITTED_TO", " STARTED_WORKING_AT", " RECEIVED_DEGREE", " WORKED_AT", " RECEIVED_DEGREE", " LEGAL_EDUCATION\n\n Explanation:\n The text states", " 'EDUCATION'\n\n Explanation:\n The text states that Mr", " LEGAL_PROCEEDINGS_AGAINST\n or\n ASSO", " ADMITTED_TO.", " EDUCATED_IN.", " EDUCATED_AT", " RECEIVED_DEGREE", " ADMITTED_TO_BAR", " BAR_ADMITTED_IN", " EDUCATED_AT", " RECEIVED_DEGREE_FROM", " ADMITTED_IN.", " ADMITTED_IN.", " STARTED_WORKING_AT", " BAR_ADMITTED_IN.", " WORKS_FOR", " BAR_ADMITTED_IN", " 'LOCATION_OF_BUSINESS'\n\n Explanation:\n ", " 'CASE_INVOLVED_WITH'", " 'ADMINISTERED_PRODUCT'", " RECEIVED_DEGREE_FROM", " RECEIVED_DEGREE", " EDUCATED_AT", " RECEIVED_DEGREE", " RECEIVED_DEGREE", " RECEIVED_DEGREE_FROM", " EDUCATED_AT", " RECEIVED_DEGREE_FROM", " ADMITTED_IN.", " ADMITTED_IN.", " STARTED_WORKING_AT", " RECEIVED_DEGREE_FROM", " WORKS_AT", " RECEIVED_DEGREE_FROM", " INVOLVED_IN", " INVOLVED_IN", " INVOLVED_IN", " WORKS_IN", " NO_RELATION", " EDUCATED_AT", " RECEIVED_DEGREE_IN\n\n Entities: \n ", " ADMITTED_TO_BAR", " 'LOCATION_OF_WORK'", " EDUCATED_AT", " ADMITTED_TO.", " BAR_IN.", " ADMITTED_IN.", " STARTED_WORKING_AT", " 'LOCATION_OF_WORK'", " WORKS_FOR", " 'LOCATION_OF_WORK'", " INVOLVED_IN", " INVOLVED_IN", " INVOLVED_IN", " STARTED_WORKING_FOR", " EDUCATED_AT", " STARTED_WORKING_FOR", " WENT_TO_SCHOOL", " WORKS_IN", " LOCATION_OF_BUSINESS", " LOCATION_OF_WORK", " STARTED_WORKING_FOR", " WORKS_AT", " SINCE", " SELF", " RECEIVED_EDUCATION_IN\n\n Entities: \n ", " RECEIVED_DEGREE_FROM", " RECEIVED_DEGREE", " RECEIVED_DEGREE", " SAME_PERSON", " EDUCATION", " RECEIVED_DEGREE_FROM", " ADMITTED_TO_BAR", " RECEIVED_DEGREE_AT", " ADMITTED_TO\n\n Explanation:\n The text states that", " STARTED_WORKING_AT", " WORKS_FOR", " SAME_PERSON", " INVOLVED_IN", " WORKED_ON\n\n Explanation:\n The text states that Mr", " WORKS_ON", " WORKS_FOR", " EDUCATION\n\n Text: \n ['Thom E. Smith received", " EDUCATED_AT", " EDUCATED_AT", " WORKED_AT\n OR:\n JOINED\n OR:\n", " WORKS_FOR", " EDUCATION", " EDUCATED_AT", " LOCATED_IN", " LOCATION", " LOCATION", " SINCE", " WORKS_FOR", " WORKS_FOR", " 'ORG_PRODUCT'", " 'CASE_ADMINISTRATION' or 'CASE_MANAGEMENT' or '", " 'CASE_ADMINISTRATION' or 'CASE_MANAGEMENT' or '", " 'SELF'", " RECEIVED_DEGREE", " RECEIVED_DEGREE_FROM", " RECEIVED_DEGREE", " RECEIVED_DEGREE", " SAME_PERSON", " EDUCATION", " RECEIVED_DEGREE_FROM", " ADMITTED_TO_BAR", " RECEIVED_DEGREE_AT", " ADMITTED_TO\n\n Explanation:\n The text states that", " STARTED_WORKING_AT", " SAME_PERSON", " WORKS_FOR", " WORKS_ON", " WORKED_ON\n\n Explanation:\n The text states that at", " WORKS_ON", " WORKS_ON", " EDUCATED_AT", " INVOLVED_IN", " EDUCATED_AT", " LITIGATION_LOCATION", " INVOLVED_IN\n\n Explanation:\n The text states that Mr", " INVOLVED_IN", " INVOLVED_IN", " 'ORG_REPRESENTED_BY'", " INVOLVED_IN", " INVOLVED_IN\n\n Explanation:\n Thom E. Smith is", " EDUCATED_AT", " INVOLVED_IN\n\n Explanation:\n The text states that Mr", " RECEIVED_DEGREE_FROM", " LITIGATION_IN_JURISDICTION", " IN_STATE (Plavix is a product in Louisiana)", " IN_JURISDICTION", " INVOLVED_IN\n\n Explanation:\n The text states that Mr", " ORG_REPresents_PRODUCT", " INVOLVED_IN\n\n Explanation:\n The text states that Mr", " WORKED_ON", " EDUCATED_AT", " INVOLVED_IN", " EDUCATED_AT", " LITIGATION_IN_JURISDICTION", " INVOLVED_IN_JURISDICTION", " IN_JURISDICTION", " INVOLVED_IN", " WORKS_FOR", " INVOLVED_IN" ]

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[ "When they could have been out soaking up the summer sun, 14 high school students from around North Dakota and Minnesota instead chose to delve into the cyber security industry and sharpen their skills at a week-long cyber camp on the Bismarck State College campus.\nBSC Cyber Patriot Camp is a partnership with the Air Force Association (AFA) and teaches the importance of cyber defense skills through hands-on instruction and activities. The camp culminated in a final, exciting, team competition that simulated real situations faced by cybersecurity industry professionals.\nLocal KX12 news reporter Renee Cooper stopped by to visit with instructors and students about the skills being taught, why those skills are important and whether or not the students can see a future for themselves in cyber security. Watch the story online.\nA BSC Cyber Camp for students grades 6-9 will be held on campus Aug. 6-7. Learn more at https://bit.ly/2XkwUSl." ]

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[ "Having a Mary Spirit: Allowing God to Change Us from the Inside Out [With DVD]\nEarn by promoting books\nEarn money by sharing your favorite books through our Affiliate program.Become an affiliate\nAbout the Author\nJoanna Weaver is the author of Having a Mary Heart in a Martha World, which has sold more than one million copies. Her other bestselling books include Having a Mary Spirit, Lazarus Awakening, At the Feet of Jesus, and the award-winning gift book With This Ring. Joanna and her pastor husband, John, have three children." ]

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