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[ "The Murph Challenge Day 5: SSG Jordan Gayles\n“It doesn’t take a hero to order men to go into battle. It takes a hero to be one of those men who goes into battle.”\nMurph Day 5 of 31 is dedicated to my brother Jordan. He’s has faithfully served our country for 14 years and deployed to Afghanistan twice.\nI saw firsthand how challenging that was for both Jordan and my sister Hannah. With two young kids at home and Jordan half way around the world, it’s hard to grasp all the emotions felt over his time away. His dedication, service, and sacrifice is something I’ll always be grateful for.\nThankfully, Jordan made it back safely from both tours, but not without losing brother’s in arms. Those losses take a mental toll on so many of the men and women coming home after serving our country.\nEvery Day We Fight is ready to help those individuals get connected in a health and wellness community.\nI’m proud of my brother, SSG Jordan Gayles, and I’m honored to dedicate this Murph Challenge to him.\nDay 5 of 31 Murph Time: 30:32\nWhen I did the Murph Challenge for the first time I became hooked. Not because it was fun but because it was painful, challenging, and meaningful.\nThese 31 challenges are a dedication to a fighter, a warrior, a person battling that’s an everyday hero.\n– Tate Wheeler\n“The Murph Challenge is more than just a workout. It is a tradition that helps push us, humble us, and allows us the opportunity to dedicate a bit of pain and sweat to honor, LT. Michael P. Murphy, a man who sacrificed everything he had for our freedom.”" ]
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mistralai/Mistral-7B-Instruct-v0.2
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Murphy" ], "tail": [ "224", "225", "TIME", "30:32" ] } ], [ { "head": [ "325", "328", "PERSON", "Michael P. Murphy" ], "tail": [ "229", "232", "EVENT", "the Murph Challenge" ] } ], [ { "head": [ "325", "328", "PERSON", "Michael P. Murphy" ], "tail": [ "234", "235", "ORDINAL", "first" ] } ], [ { "head": [ "325", "328", "PERSON", "Michael P. Murphy" ], "tail": [ "258", "259", "CARDINAL", "31" ] } ], [ { "head": [ "325", "328", "PERSON", "Michael P. Murphy" ], "tail": [ "280", "283", "PERSON", "– Tate Wheeler" ] } ], [ { "head": [ "325", "328", "PERSON", "Michael P. Murphy" ], "tail": [ "285", "288", "EVENT", "The Murph Challenge" ] } ] ]
[ " DEDICATED_TO", " DEDICATED_TO", " DEPLOYED_TO", " DEDICATED_TO", " SIBLING", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " SIBLING", " SERVED_FOR\n or\n HAS_SERVED_FOR\n or", " DEPLOYED_TO", " SIBLING", " SIBLING", " DEPLOYED_WITH\n\n Explanation:\n The text states", " SAME_PERSON", " SERVED_WITH\n\n Explanation:\n The text describes Jordan Gayles", " SIBLING", " DEDICATED_TO", " SAME_PERSON", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " HONORED_BY", " DEDICATED_TO", " DEDICATED_TO", " DEPLOYED_TO", " DEDICATED_TO", " SIBLING", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " HONORS", " DEDICATED_TO", " IDENTICAL", " DEDICATED_TO", " SERVED_FOR\n or\n HAS_SERVED_FOR\n or", " DEPLOYED_TO", " SIBLING", " SIBLING", " DEPLOYED_WITH\n\n Explanation:\n The text states", " BROTHER_OF", " SERVED_WITH\n\n Explanation:\n The text states that Jordan has", " BROTHER_OF", " DEDICATED_TO", " SAME_PERSON", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " HONORED_BY", " SERVED_FOR\n or\n BROTHER_OF\n or\n ", " SERVED_FOR\n or\n HAS_SERVED_FOR\n or", " DEPLOYED_TO", " SERVED_FOR\n or\n HAS_SERVED_FOR\n or", " SIBLING", " SERVED_FOR\n or\n HAS_SERVED_FOR\n or", " SERVED_FOR\n # or\n # HAS_SERVED_FOR\n", " SERVED_FOR\n or\n BROTHER_OF\n or\n ", " DEDICATED_TO", " HONORED_BY", " DEDICATED_TO", " DEPLOYED_TO", " DEDICATED_TO", " DEPLOYED_TO", " DEPLOYED_TO", " DEPLOYED_TO", " DEPENDENT_OF", " DEPLOYED_TO", " DEPLOYED_TO", " DEPLOYED_TO", " DEPLOYED_TO", " LOCATION_OF\n\n Explanation:\n The text describes Jordan serving", " DEPLOYED_TO", " TOPIC\n\n Explanation:\n The text is about the author'", " DEDICATED_TO", " TEMP_LOCATION_ASSOCIATED_WITH_TIME\n\n Explan", " TAKEN_PLACE_IN", " DEPLOYED_TO", " DEPLOYED_TO", " DEDICATED_TO", " TAKEN_PLACE_IN", " DEDEDICATED_TO", " DEDICATED_TO", " IDENTICAL", " DEDICATED_TO", " BROTHER_OF", " SERVED_FOR\n or\n HAS_SERVED_FOR\n or", " DEPLOYED_TO", " SIBLING", " DEPLOYED_WITH\n\n Explanation:\n The text states", " SIBLING", " SERVED_WITH\n\n Explanation:\n The text describes Jordan as having", " SIBLING", " DEDICATED_TO", " SAME_PERSON", " DEDICATED_TO", " DEDICATED_TO", " NO_RELATION", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " HONORED_BY", " SISTER_OF\n # or\n # NO_RELATION (if 'H", " SISTER_OF", " DIED_FOR\n\n Explanation:\n The text describes Hannah's", " SISTER_OF", " SIBLING_OF", " DEPLOYED_TO", " SISTER_OF", " SIBLING", " SISTER_OF", " SIBLING", " SISTER_OF", " CONNECTED_IN_HEALTH_AND_WELLNESS_COMMUN", " SISTER_OF", " CONNECTED_WITH", " DEDICATED_TO", " NO_RELATION", " CONNECTED_WITH", " SIBLING", " NO_RELATION", " WRITTEN_BY", " CONNECTED_WITH", " HONORED_BY", " SIBLING", " DEPENDENT", " DEPLOYED_TO", " DEPENDENT", " SIBLING", " DEPENDENT", " DEPENDENT", " SIBLING", " DEDICATED_TO", " HONORED_BY", " DEDICATED_TO", " IDENTICAL", " DEDICATED_TO", " BROTHER_OF", " SERVED_FOR\n or\n HAS_SERVED_FOR\n or", " DEPLOYED_TO", " SIBLING", " SIBLING", " DEPLOYED_WITH\n\n Explanation:\n The text states", " DEPLOYED_FROM", " SIBLING", " DEDICATED_TO", " SAME_PERSON", " DEDICATED_TO", " DEDICATED_TO", " NO_RELATION", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " HONORED_BY", " DEPENDENT", " DEPLOYED_TO", " DEPLOYED_TO", " DEPLOYED_TO", " SIBLING", " DEPLOYED_TO", " DEPLOYED_TO", " DEPLOYED_TO", " WRITTEN_BY", " HONORED_BY", " DEDICATED_TO", " IDENTICAL", " DEDICATED_TO", " SIBLING", " SERVED_FOR\n\n Explanation:\n The text states that \"He", " DEPLOYED_TO", " SIBLING", " SIBLING", " DEPLOYED_WITH\n\n Explanation:\n The text states", " SIBLING", " DEPLOYED_FROM", " DEDICATED_TO", " SAME_PERSON", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " HONORED_BY", " DEDICATED_TO", " DEDICATED_TO", " DEPLOYED_TO", " DEDICATED_TO", " SIBLING", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " SAME_PERSON", " DEDICATED_TO", " SIBLING", " SERVED_FOR\n or\n HAS_SERVED_FOR\n or", " DEPLOYED_TO", " SIBLING", " SIBLING", " DEPLOYED_WITH\n\n Explanation:\n The text states", " SIBLING", " DEPLOYED_FROM", " SAME_PERSON", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " SUBJECT_OF", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " HONORED_BY", " DEDICATED_TO", " DEDICATED_TO", " DEPLOYED_TO", " DEDICATED_TO", " SIBLING", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " HONORS", " DEDICATED_TO", " DEDICATED_TO", " DEPLOYED_TO", " DEDICATED_TO", " SIBLING", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEPLOYED_TO", " DEDICATED_TO", " SIBLING", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " HONORS", " DEDICATED_TO", " DEDICATED_TO", " DEPLOYED_TO", " DEDICATED_TO", " SIBLING", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " HONORS", " DEDICATED_TO", " DEDICATED_TO", " DEPLOYED_TO", " DEDICATED_TO", " SIBLING", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " HONORS", " DEDICATED_TO", " DEDICATED_TO", " DEPLOYED_TO", " DEDICATED_TO", " SIBLING", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEPLOYED_TO", " DEDICATED_TO", " SISTER", " DEDICATED_TO", " DEDICATED_TO", " SPOKE_IN_TERMS_OF", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEPLOYED_TO", " DEDICATED_TO", " SIBLING", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " DEDICATED_TO", " HONORS", " HONORS", " HONORED_BY", " DEDICATED_TO", " HONORED_BY", " SACRIFICED_FOR\n\n Explanation:\n The text", " DEPLOYED_TO", " HONORED_BY", " LOST_IN_ACTION_BY_HEAD_OF_FAMILY_FOR", " HONORED_BY", " HONORED_BY", " SACRIFICED_FOR", " HONORED_BY", " HONORS", " HONORED_BY", " HONORS", " DEDICATED_TO", " HONORS", " HONORS", " DEDICATED_TO", " HONORS", " DEDICATED_TO", " HONORS" ]
[ [ "0", "5", "EVENT", "The Murph Challenge Day 5" ], [ "7", "9", "PERSON", "Jordan Gayles" ], [ "42", "44", "EVENT", "Murph Day" ], [ "52", "53", "PERSON", "Jordan" ], [ "62", "64", "DATE", "14 years" ], [ "67", "68", "GPE", "Afghanistan" ], [ "80", "81", "PERSON", "Jordan" ], [ "84", "85", "PERSON", "Hannah" ], [ "87", "88", "CARDINAL", "two" ], [ "93", "94", "PERSON", "Jordan" ], [ "94", "95", "CARDINAL", "half" ], [ "133", "134", "PERSON", "Jordan" ], [ "173", "175", "DATE", "Every Day" ], [ "201", "203", "PERSON", "Jordan Gayles" ], [ "210", "213", "EVENT", "this Murph Challenge" ], [ "217", "221", "DATE", "Day 5 of 31" ], [ "224", "225", "TIME", "30:32" ], [ "229", "232", "EVENT", "the Murph Challenge" ], [ "234", "235", "ORDINAL", "first" ], [ "258", "259", "CARDINAL", "31" ], [ "280", "283", "PERSON", "– Tate Wheeler" ], [ "285", "288", "EVENT", "The Murph Challenge" ], [ "325", "328", "PERSON", "Michael P. Murphy" ] ]
32,888
32,890
[ "Michael is EY Global Innovation Realized Leader and EY Americas Consulting Growth Strategy Leader. He also leads the EY wavespaceTM innovation labs in Silicon Valley and San Francisco.\nWith over 20 years of strategy and innovation experience, he is seasoned in developing corporate strategy and transformation as well as in building businesses – both within global corporations and as an entrepreneur.\nPrior to joining EY through the acquisition of his own company, he served as a founder, partner and board member of several growth companies. He also served in operating and corporate strategy roles in a global telecom company before moving into the field of consulting.\nMichael co-authored BIG Ideas to BIG Results: Leading Corporate Transformation in a Disruptive World, a leader’s guide to accelerating corporate transformation. He earned an MBA from the University of Southern California, and BA in Economics and Mathematics from the University of California at Santa Barbara.\nHow Michael is building a better working world\n“People in large organizations have great ideas, but feel slow and stuck in terms of executing growth strategies. This is not a given. Bringing the entrepreneurial soul of speed, human ingenuity, passion and amazing customer value back to corporate strategy and growth is my way of contributing back to EY teams and client organizations.\nIn my everyday work serving EY clients, the real objective is to reignite and unleash the full human potential inside large-scale global organizations. This brings to life strategies that are uniquely valuable to customers, redefine entire industries, and support transformations of culture and leadership to sustain new levels of performance.”" ]
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mistralai/Mistral-7B-Instruct-v0.2
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[ " LEADS", " LEADS", " LEADS", " LEADS\n\n Entities: \n [{'head': ['0',", " LEADS_LOCATION", " HAS_EXPERIENCE", " LEADS", " SELF_REFERENCE", " AUTHOR_OF", " EDUCATION", " EDUCATION", " EDUCATION", " EDUCATED_AT", " SELF_REFERENCE", " LEADS", " LEADS", " LEADS", " LEADS", " LEADS", " LEADS_LOCATION", " LEADS_LOCATION", " HAS_EXPERIENCE", " LEADS", " LEADS", " WRITTEN_BY", " EDUCATION", " EDUCATION", " EDUCATION\n\n Explanation:\n Michael earned a BA degree from", " EDUCATION", " LEADS", " LEADS", " LEADS", " LEADS", " LEADS", " CONTAINS\n\n Explanation:\n Michael is the leader of EY", " LEADS_LOCATION", " LEADS\n\n Explanation:\n Michael leads the EY wavespace", " HAS_EXPERIENCE", " CONTAINS\n\n Explanation:\n Michael is the leader of EY", " LEADS", " WRITTEN_BY", " EDUCATION", " EDUCATION", " EDUCATION\n\n Explanation:\n Michael earned a BA in Econom", " EDUCATION", " LEADS", " LEADS", " CONTAINS\n\n Explanation:\n Michael is the leader of EY", " LEADS", " LEADS", " LEADS", " LEADS\n\n Entities: \n [{'head': ['19", " LEADS\n\n Explanation:\n Michael leads the EY wavespace", " EXPERIENCE", " LEADS", " LEADS", " WRITTEN_BY", " EDUCATION", " EDUCATION", " EDUCATION", " EDUCATION", " LEADS", " LEADS", " LEADS", " LEADS_LOCATION", " LEADS_INNOVATION_LABS", " LEADS_LOCATION", " LEADS\n\n Explanation:\n Michael leads the EY wavespace", " IN_CITY", " EXPERIENCE_WITH_DURATION", " LEADS\n\n Explanation:\n Michael leads the EY wavespace", " LEADS\n\n Entities: \n [{'head': ['11", " WRITTEN_BY", " EDUCATION\n\n Entities: \n [{'head': ['1", " EDUCATION", " EDUCATION\n\n Explanation:\n The text states that Michael earned", " EDUCATED_AT", " LEADS\n\n Entities: \n [{'head': ['17", " LEADS\n\n Explanation:\n Michael leads the EY wavespace", " LEADS\n\n Explanation:\n Michael leads the EY wavespace", " LEADS_LOCATION", " LEADS_LOCATION", " LEADS_LOCATION", " LEADS\n\n Explanation:\n Michael leads the EY wavespace", " IN_LOCATION_OF", " EXPERIENCE_WITH_DURATION", " LEADS\n\n Explanation:\n Michael leads the EY wavespace", " LEADS_LOCATION", " WRITTEN_BY", " EDUCATION", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " LEADS_LOCATION", " LEADS\n\n Explanation:\n Michael leads the EY wavespace", " LEADS\n\n Explanation:\n Michael leads the EY wavespace", " HAS_EXPERIENCE", " HAS_EXPERIENCE", " HAS_EXPERIENCE", " EXPERIENCE_IN.", " HAS_LOCATION", " HAS_LOCATION", " EXPERIENCE_IN.", " HAS_EXPERIENCE", " EDUCATION", " EDUCATION", " HAS_EXPERIENCE", " EXPERIENCE_IN.", " EXPERIENCE_IN.", " LEADS", " LEADS", " LEADS", " LEADS", " LEADS_LOCATION", " LEADS\n\n Explanation:\n Michael leads the EY wavespace", " HAS_EXPERIENCE", " LEADS", " WRITTEN_BY", " EDUCATION", " EDUCATION", " EDUCATION\n\n Explanation:\n Michael earned a BA in Econom", " EDUCATION\n\n Entities: \n [{'head': ['7", " LEADS", " LEADS \n\n Explanation:\n Michael leads EY, both", " LEADS", " SELF_REFERENCE", " LEADS", " LEADS", " LEADS", " LEADS_LOCATION", " LEADS\n\n Explanation:\n Michael leads the EY wavespace", " HAS_EXPERIENCE", " LEADS", " AUTHOR_OF", " EDUCATION", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n Michael earned a BA in Econom", " EDUCATED_AT", " SELF_RELATION\n\n Explanation:\n The text describes Michael", " LEADS", " LEADS", " AUTHOR_OF", " WRITTEN_BY", " WRITTEN_BY", " WRITTEN_BY", " WRITTEN_BY", " WRITTEN_BY", " WRITTEN_BY", " COAUTHOR", " EDUCATED_AT", " EDUCATED_AT", " COAUTHOR", " WRITTEN_BY", " WRITTEN_BY", " EDUCATION", " LEADS", " LEADS", " WORKS_FOR", " LEADS_LOCATION", " LEADS_LOCATION", " WORKS_FOR", " EDUCATION", " EDUCATED_AT", " EDUCATED_AT", " EDUCATION", " WORKS_FOR", " WORKS_FOR", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EXPERIENCE_IN\n OR\n HAS_EXPERIENCE\n", " EDUCATED_AT", " EDUCATED_AT", " WRITTEN_BY", " EDUCATION", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_BY", " EDUCATED_AT", " EDUCATED_AT", " EDUCATION", " LEADS.", " LEADS", " WORKED_FOR", " LEADS_LOCATION", " LEADS_LOCATION", " WORKED_FOR", " EDUCATED_BY", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_BY", " WORKED_FOR", " WORKED_FOR", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EXPERIENCE_IN\n OR\n BACKGROUND\n OR\n", " EDUCATED_AT", " EDUCATION", " AUTHOR_OF", " EDUCATION", " EDUCATION_AT.", " EDUCATION", " EDUCATION", " EDUCATED_AT", " EDUCATED_AT", " SELF_REFERENCE", " LEADS", " LEADS", " LEADS", " LEADS_LOCATION", " LEADS\n\n Explanation:\n Michael leads the EY wavespace", " HAS_EXPERIENCE", " LEADS", " SAME_PERSON", " AUTHOR_OF", " EDUCATION", " EDUCATED_AT", " EDUCATION\n\n Entities: \n [{'head': ['1", " EDUCATED_AT", " LEADS", " LEADS", " LEADS", " LEADS", " LEADS", " LEADS", " LEADS_LOCATION", " LEADS\n\n Explanation:\n Michael leads the EY wavespace", " HAS_EXPERIENCE", " LEADS", " LEADS", " WRITTEN_BY", " EDUCATION\n\n Explanation:\n Michael earned an MBA from", " EDUCATION\n\n Explanation:\n Michael earned an MBA from", " EDUCATION\n\n Explanation:\n Michael earned a BA in Econom", " EDUCATION\n\n Explanation:\n Michael earned a BA in Econom", " LEADS", " LEADS", " LEADS", " LEADS_ORGANIZATION", " LEADS", " LEADS", " LEADS_LOCATION", " LEADS\n\n Explanation:\n Michael leads the EY wavespace", " HAS_EXPERIENCE", " CONTAINS\n\n Explanation:\n Michael is the leader of EY", " LEADS", " WRITTEN_BY", " EDUCATION\n\n Explanation:\n Michael earned an MBA from", " EDUCATION\n\n Explanation:\n Michael earned an MBA from", " EDUCATION\n\n Explanation:\n Michael earned a BA in Econom", " EDUCATION\n\n Explanation:\n Michael earned a BA in Econom", " LEADS", " LEADS" ]
[ [ "0", "1", "PERSON", "Michael" ], [ "2", "6", "ORG", "EY Global Innovation Realized" ], [ "8", "10", "ORG", "EY Americas" ], [ "19", "20", "ORG", "EY" ], [ "24", "26", "LOC", "Silicon Valley" ], [ "27", "29", "GPE", "San Francisco" ], [ "33", "35", "DATE", "20 years" ], [ "70", "71", "ORG", "EY" ], [ "117", "118", "PERSON", "Michael" ], [ "121", "134", "WORK_OF_ART", "BIG Ideas to BIG Results: Leading Corporate Transformation in a Disruptive World" ], [ "147", "148", "WORK_OF_ART", "MBA" ], [ "149", "154", "ORG", "the University of Southern California" ], [ "156", "157", "WORK_OF_ART", "BA" ], [ "162", "169", "ORG", "the University of California at Santa Barbara" ], [ "172", "173", "PERSON", "Michael" ], [ "235", "236", "ORG", "EY" ], [ "247", "248", "ORG", "EY" ] ]
32,889
32,891
[ "The FCA and Practitioner Panel joint survey is sent annually to a sample of the firms that we regulate. It gives firms an opportunity to provide their views on how we regulate the industry.\nThe survey is carried out on our behalf by Kantar Public, an independent social research organisation. Kantar sent the survey to a random sample of 12,000 firms.\nHow we will use the survey results\nThe survey has now closed. We will use the results of the survey to better understand the issues affecting all firms and help us improve how we work. The results are presented to the Practitioner Panel and our Board and will be published in the third quarter of 2018.\nOur previous surveys\nThe results from last year’s survey showed that both the industry’s satisfaction with its relationship with the FCA and the industry’s rating of the FCA’s effectiveness have increased.\nLast year’s survey highlighted key areas for improvement on transparency and predictability of regulation, better communications on EU withdrawal and improved perception of the quality of policy and technical staff. We are committed to addressing all these areas and further details can be found in our Mission and Business Plan. We will use the findings of this year’s survey to inform our future work.\nIn line with the Market Research Society Code of Conduct, Kantar Public will treat all survey responses in the strictest confidence and no personally identifiable information will be published or shared with the FCA or Practitioner Panel.\nIf you have any questions, please contact Jack Cole at Kantar Public on 0800 015 0302, or the FCA contact centre on 0300 500 0597." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['The FCA and Practitioner Panel joint survey is sent annually to a sample of the firms that we regulate. It gives firms an opportunity to provide their views on how we regulate the industry.\nThe survey is carried out on our behalf by Kantar Public, an independent social research organisation. Kantar sent the survey to a random sample of 12,000 firms.\nHow we will use the survey results\nThe survey has now closed. We will use the results of the survey to better understand the issues affecting all firms and help us improve how we work. The results are presented to the Practitioner Panel and our Board and will be published in the third quarter of 2018.\nOur previous surveys\nThe results from last year’s survey showed that both the industry’s satisfaction with its relationship with the FCA and the industry’s rating of the FCA’s effectiveness have increased.\nLast year’s survey highlighted key areas for improvement on transparency and predictability of regulation, better communications on EU withdrawal and improved perception of the quality of policy and technical staff. We are committed to addressing all these areas and further details can be found in our Mission and Business Plan. We will use the findings of this year’s survey to inform our future work.\nIn line with the Market Research Society Code of Conduct, Kantar Public will treat all survey responses in the strictest confidence and no personally identifiable information will be published or shared with the FCA or Practitioner Panel.\nIf you have any questions, please contact Jack Cole at Kantar Public on 0800 015 0302, or the FCA contact centre on 0300 500 0597.'] Entities: [{'head': ['1', '2', 'ORG', 'FCA'], 'tail': ['3', '5', 'ORG', 'Practitioner Panel']}] Relation:
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[ " CONDUCTS_SURVEY_FOR", " SENDS_ANNUALLY", " SENT_ON_BEHALF_OF", " SENT_ON_BEHALF_OF", " SENT_TO\n\n Explanation:\n The FCA sent the survey", " JOINT_SURVEY_PARTICIPANT", " PRESENTS_RESULTS_TO", " PUBLISHES_REPORT", " PREVIOUS_SURVEY", " SAME_ORGANIZATION", " SAME_ORGANIZATION", " PREVIOUS_SURVEY", " REGULATES\n\n Explanation:\n The FCA regulates the", " SURVEYED_IN.", " GOVERNED_BY", " SENT_ON_BEHALF_OF", " SAME_ORGANIZATION", " SENT_ON_BEHALF_OF", " CONTACT_PERSON", " SENT_ON_BEHALF_OF", " SAME_ORGANIZATION", " SURVEYED_BY", " SURVEY_CONDUCTED_ANNually", " SURVEY_CONDUCTED_BY", " SURVEY_CONDUCTED_BY", " SENT_TO\n\n Explanation:\n The Practitioner Panel is", " SAME_ORGANIZATION", " PRESENTS_RESULTS_TO", " PRESENTS_RESULT_TO", " PREVIOUS_SURVEY_OF", " SURVEYED_BY", " SURVEYED_BY", " PREVIOUS_SURVEY_BY", " IMPROVES\n\n Explanation:\n The text states that the Pract", " ANNUALLY_SURVEYED_BY", " GOVERNED_BY", " SURVEY_CONDUCTED_BY", " SURVEYED_BY", " SAME_ORGANIZATION", " CONTACT_PERSON", " SENT_ON_BEHALF_OF", " SURVEYED_BY", " SURVEYS_CONDUCTED_BY", " SURVEYS_CONDUCTED_BY", " SENDS\n\n Explanation:\n The text states that Kantar", " SENDS\n\n Explanation:\n The text states that Kantar", " SURVEYS_CONDUCTED_BY", " PRESENTS_RESULTS_TO", " SURVEYS_CONDUCTED_BY", " SURVEYS_CONDUCTED_BY", " REGULATES\n\n Explanation:\n The text describes that the F", " SENDS\n\n Explanation:\n The text states that Kantar", " SURVEYS_CONDUCTED_BY", " SURVEY_CONDUCTED_BY", " CONTACT_PERSON", " SENDS\n\n Explanation:\n The text states that Kantar", " SURVEYS_CONDUCTED_BY", " SENT_ON_BEHALF_OF", " CONDUCTED_FOR", " SENDS_ANNUALLY", " SELF_REFERENCE", " SENT_TO\n\n Explanation:\n The text states that Kant", " CONDUCTS_SURVEY_FOR", " PRESENTS_RESULTS_TO", " PUBLISHES", " SURVEYED_BY", " CONDUCTED_FOR", " CONDUCTED_FOR", " SURVEYED_BY", " NO_RELATION. The text does not provide any context for a relation between 'Kant", " CONDUCTED_SURVEY_IN_YEAR", " FOLLOWS", " SENT_ON_BEHALF_OF", " CONDUCTED_FOR", " CONDUCTS_SURVEY_FOR", " CONTACT_PERSON", " SAME_ORGANIZATION", " CONDUCTED_FOR", " CONDUCTED_BY", " CONDUCTED_FOR", " SENDS_ANNUALLY", " SUBORGANIZATION", " SENT_TO\n\n Explanation:\n The text states that Kant", " CONDUCTS_SURVEY_FOR", " PRESENTS_RESULTS_TO", " PUBLISH_DATE", " PREVIOUS_SURVEY", " CONDUCTED_BY", " CONDUCTED_BY", " PREVIOUS_SURVEY_BY", " NO_RELATION.", " CONDUCTED_IN.", " FOLLOWS", " SUBORDINATE_ORGANIZATION", " CONDUCTED_BY", " CONDUCTS_SURVEY_FOR", " CONTACT_PERSON", " SUBORDINATE_ORGANIZATION", " CONDUCTED_BY", " SENT_TO", " SENT_TO", " SENT_SURVEY_TO", " SENT_SURVEY_TO", " SENT_SURVEY_TO", " RECEIVES_INPUT_FROM", " SENT_SURVEY_TO", " SENT_SURVEY_TO", " SENT_TO\n\n Explanation:\n The text states that Kant", " SENT_SURVEY_TO", " SENT_SURVEY_TO", " SENT_TO", " CONTACT_PERSON", " SENT_SURVEY_TO", " SENT_SURVEY_TO", " JOINT_SURVEY_PARTICIPANT", " JOINT_ENTITY", " SURVEY_CONDUCTED_ANNually", " SENT_ON_BEHALF_OF", " CONDUCTED_BY", " SENT_TO\n\n Explanation:\n The text states that Kant", " PRESENTS_TO\n\n Explanation:\n The text states that", " PRESENTS_REPORT_AT", " PREVIOUS_SURVEY_OF", " SURVEYED_BY", " SURVEYED_BY", " PREVIOUS_SURVEY_BY_ENTITY", " IMPACTS_ON\n or\n INFLUENCES\n or\n", " SURVEYED_BY\n OR\n CONDUCTED_BY\n ", " GOVERNED_BY", " CONDUCTED_BY", " SURVEYED_BY", " SAME_ORGANIZATION", " CONTACT_PERSON", " SENT_ON_BEHALF_OF", " JOINT_SURVEY_PARTICIPANT", " RECEIVES_INPUT_FROM", " REPORTS_TO", " ANNUALLY_SURVEYED_BY", " REPORTS_TO", " REPORTS_TO", " SAMPLED_FROM", " RECEIVES_INPUT\n\n Explanation:\n The Board receives the", " PRESENTS\n\n Explanation:\n The Board is presenting the survey", " USED_PREVIOUSLY", " RECEIVES_INPUT\n\n Explanation:\n The context states that", " RECEIVES_INPUT_FROM", " PREVIOUS_SURVEY_BY_BOARD", " REGULATES \n\n Explanation:\n The text mentions that", " PRESENTS_RESULTS_TO", " GOVERNED_BY", " RECEIVES_INPUT_FROM", " RECEIVES_INPUT\n or\n RECEIVES_FEEDBACK", " REPORTS_TO", " CONTACT_PERSON", " RECEIVES_INPUT_FROM", " RECEIVES_INPUT\n or\n RECEIVES_FEEDBACK", " PUBLISHES", " PRESENTS_RESULTS_TO", " PRESENTS", " PRESENTS", " PRESENTS_RESULTS_TO", " PRESENTS_TO", " PRESENTS_RESULTS_TO", " PRESENTS_RESULTS_TO", " PUBLISHES_REPORT_ABOUT", " PRESENTS", " PRESENTS_RESULTS_TO", " PRESENTS_RESULTS_TO", " CONTACT_PERSON", " PRESENTS", " PRESENTS_RESULTS_TO", " SURVEYED_BY", " RESULTS_FROM_SURVEY", " CONDUCTED_SURVEY", " CONDUCTED_BY", " RESULTS_FROM_SURVEY_OF\n ORG_PREV", " USED_RESULTS_OF", " SURVEYED_BY", " SURVEYED_BY", " HIGHLIGHTED_IN\n\n Explanation:\n The text ment", " CONDUCTED_BY", " SURVEYED_BY", " RESULTS_FROM_SURVEY_OF\n ORG_PREV", " CONTACT_PERSON", " CONDUCTED_SURVEY", " SURVEYED_BY", " SENT_SURVEY_ON_BEHALF_OF", " SENT_ON_BEHALF_OF", " SURVEYS_PERIODICALLY", " SENT_ON_BEHALF_OF", " SENT_ON_BEHALF_OF", " SENT_TO\n\n Explanation:\n The FCA sent the survey", " SURVEYED_BY", " BOARDS_OF_ORGANIZATIONS\n\n Explanation:", " PRESENTS_RESULT_TO", " PREVIOUS_SURVEY", " SELF_REGULATOR", " PREVIOUS_SURVEY", " REGULATES\n\n Explanation:\n The FCA regulates the", " SURVEYED_IN.", " GOVERNED_BY", " SENT_ON_BEHALF_OF", " SELF_REGULATOR", " SENT_ON_BEHALF_OF", " CONTACT_PERSON", " SENT_ON_BEHALF_OF", " SELF_REGULATOR", " SENT_SURVEY_ON_BEHALF_OF", " SENT_ON_BEHALF_OF", " SENDS_ANNUALLY", " SENT_ON_BEHALF_OF", " SENT_ON_BEHALF_OF", " SENT_TO\n\n Explanation:\n The FCA sent the survey", " REGULATES", " BOARDS_OF_ORGANIZATIONS\n\n Explanation:", " PRESENTS_RESULT_TO", " PREVIOUS_SURVEY", " SELF_REGULATOR", " PREVIOUS_SURVEY", " REGULATES\n\n Explanation:\n The FCA regulates the", " SURVEYED_IN.", " GOVERNED_BY", " SENT_ON_BEHALF_OF", " SELF_REGULATOR", " SENT_ON_BEHALF_OF", " CONTACT.\n\n Explanation:\n The text states that Jack Cole", " SENT_ON_BEHALF_OF", " SELF_REGULATOR", " PREVIOUS_SURVEY_OF", " RESPONDED_TO", " CONDUCTED_SURVEY", " CONDUCTED_BY", " RESPONSIBLE_FOR\n\n Explanation:\n The text", " RESULTS_ARE_PRESENTED_TO", " SURVEYED_BY", " SURVEYED_BY", " HIGHERLEVEL_REGULATORY_FRAMEWORK_APPLICATION_AREA", " CONDUCTED_SURVEY", " SURVEYED_BY\n or\n CONDUCTED_BY\n ", " RESPONDED_TO", " CONTACT_PERSON", " CONDUCTED_SURVEY", " SURVEYED_BY", " REGULATES.", " CONDUCTED_FOR.", " SURVEY_CONDUCTED_ANNually.", " CONDUCTED_BY", " CONDUCTED_FOR\n\n Explanation:\n The text states that \"", " SENT_TO\n\n Explanation:\n The text states that Kant", " CONDUCTED_FOR", " PRESENTS_TO\n\n Explanation:\n The text states that", " PUBLISH_DATE", " PREVIOUS_SURVEY_OF", " REGULATES.", " REGULATES", " PREVIOUS_SURVEY_OF", " REGULATES\n\n Explanation:\n The text states that the F", " GOVERNED_BY", " CONDUCTED_BY", " REGULATES.", " CONDUCTED_FOR", " CONTACT_PERSON", " CONDUCTED_BY", " REGULATES.", " REGULATES", " SURVEYED_BY", " SENT_SURVEY_TO", " SENT_SURVEY_TO", " RECIPROCAL_REGULATES", " The results are presented to the 'Board' and will be published in the third quarter of '", " REGULATES", " REGULATES", " IMPROVED_PERCEPTION_OF_QUALITY_OF_POLICY", " SENT_SURVEY_TO", " REGULATES", " SURVEYED_BY", " CONTACT_PERSON", " SENT_SURVEY_TO", " REGULATES", " CONFIDENTIALITY_AGREEMENT", " CONFIDENTIALITY_AGREEMENT", " CONFIDENTIALITY_AGREEMENT", " CONFIDENTIALITY_AGREEMENT", " NO_RELATION", " NO_RELATION", " CONFIDENTIALITY_AGREEMENT", " CONFIDENTIALITY_AGREEMENT", " GOVERNED_BY", " CONFIDENTIALITY_AGREEMENT", " GOVERNED_BY", " CONFIDENTIALITY_AGREEMENT", " CONTACT_PERSON", " CONFIDENTIALITY_AGREEMENT", " GOVERNED_BY", " CONDUCTED_FOR", " CONDUCTS_SURVEY_FOR", " SENDS_ANNUALLY", " SENT_ON_BEHALF_OF", " SAME_ORGANIZATION", " SENT_TO\n\n Explanation:\n The text states that Kant", " CONDUCTS_SURVEY_FOR", " PRESENTS_TO", " PUBLISH_DATE", " SURVEYED_BY", " CONDUCTS_SURVEY_FOR", " CONDUCTED_FOR", " SURVEYED_BY", " CONDUCTED_FOR\n\n Explanation:\n Kantar Public conducted", " CONDUCTED_SURVEY_IN_YEAR", " FOLLOWS", " CONDUCTED_FOR", " CONDUCTS_SURVEY_FOR", " CONTACT_PERSON", " SENT_ON_BEHALF_OF", " CONDUCTED_FOR", " SENT_SURVEY_ON_BEHALF_OF", " SENT_ON_BEHALF_OF", " SURVEYS_PERFORMED_ANNually", " SENT_ON_BEHALF_OF", " SENT_ON_BEHALF_OF", " SENT_TO\n\n Explanation:\n The FCA sent the survey", " SENT_SURVEY_ON_BEHALF", " BOARDS_OF_ORGANIZATIONS\n\n Explanation:", " PUBLISHES", " PREVIOUS_SURVEY", " SAME_ORGANIZATION", " SAME_ORGANIZATION", " PREVIOUS_SURVEY", " REGULATES\n\n Explanation:\n The FCA regulates the", " SURVEYED_IN.", " GOVERNED_BY", " SENT_ON_BEHALF_OF", " SURVEYED_BY", " CONTACT_PERSON", " SENT_ON_BEHALF_OF", " SELF_REGULATOR", " SURVEYED_BY", " JOINT_SURVEY", " SURVEY_CONDUCTED_ANNually", " SURVEY_CONDUCTOR", " SURVEY_CONDUCTED_BY", " SENT_TO\n\n Explanation:\n The Practitioner Panel is", " SAME_ORGANIZATION", " PRESENTS_RESULTS_TO", " PRESENTS_REPORT_AT", " PREVIOUS_SURVEY_OF", " SURVEYED_BY", " SURVEYED_BY", " PREVIOUS_SURVEY_BY", " IMPROVES_PERCEPTION_OF\n\n Explanation:\n ", " SURVEYED_IN.", " FOLLOWS_CODE_OF_CONDUCT", " SURVEY_CONDUCTED_BY", " SURVEYED_BY", " CONTACT_PERSON", " CONDUCTED_BY", " SURVEYED_BY", " CONTACT_PERSON", " CONTACT_PERSON", " CONTACT_DETAILS", " CONTACT_PERSON", " CONTACT_PERSON", " CONTACT_DETAILS", " CONTACT_PERSON", " CONTACT_PERSON_OF.", " PUBLISHES", " SURVEYED_BY", " CONTACT_PERSON.\n\n Entities: \n [{'head", " CONTACT_PERSON.\n This indicates that Jack Cole is the contact person for", " SURVEYED_BY", " NO_RELATION.", " CONTACT_DETAILS", " CONFIDENTIALITY_CODE_OF_CONDUCT", " CONTACT_PERSON", " CONTACT_PERSON", " CONTACT_PERSON_OF", " CONTACT_PERSON", " CONTACT_PERSON.\n\n Entities: \n [{'head", " CONDUCTED_FOR", " CONDUCTS_SURVEY_FOR", " SENDS_ANNUALLY", " SENT_ON_BEHALF_OF", " SAME_ORGANIZATION", " SENT_TO\n\n Explanation:\n The text states that Kant", " CONDUCTS_SURVEY_FOR", " PRESENTS_TO", " PUBLISHES", " SURVEYED_BY", " CONDUCTED_FOR", " CONDUCTED_FOR", " SURVEYED_BY", " CONDUCTED_FOR.", " CONDUCTED_SURVEY", " FOLLOWS", " SENT_ON_BEHALF_OF", " CONDUCTED_FOR", " CONDUCTS_SURVEY_FOR", " CONTACT_PERSON", " CONDUCTED_FOR", " SENT_SURVEY_ON_BEHALF_OF", " CONDUCTS_SURVEY_FOR", " SURVEYS_PERIODICALLY", " SENT_ON_BEHALF_OF", " SENT_ON_BEHALF_OF", " SENT_TO\n\n Explanation:\n The FCA sent the survey", " REGULATES", " BOARDS_OF_ORGANIZATIONS\n\n Explanation:", " PUBLISHES", " PREVIOUS_SURVEY", " JOINT_SURVEYOR", " SAME_ORGANIZATION", " PREVIOUS_SURVEY", " REGULATES \n\n Explanation:\n The FCA regulates", " SURVEYED_IN.", " GOVERNED_BY", " SENT_ON_BEHALF_OF", " SENT_ON_BEHALF_OF", " SENT_ON_BEHALF_OF", " CONTACT_PERSON", " SENT_ON_BEHALF_OF" ]
[ [ "1", "2", "ORG", "FCA" ], [ "3", "5", "ORG", "Practitioner Panel" ], [ "9", "10", "DATE", "annually" ], [ "46", "48", "ORG", "Kantar Public" ], [ "55", "56", "ORG", "Kantar" ], [ "64", "65", "CARDINAL", "12,000" ], [ "111", "114", "ORG", "the Practitioner Panel" ], [ "116", "117", "ORG", "Board" ], [ "122", "127", "DATE", "the third quarter of 2018" ], [ "136", "139", "DATE", "last year’s" ], [ "152", "153", "ORG", "FCA" ], [ "160", "161", "ORG", "FCA" ], [ "167", "170", "DATE", "Last year’s" ], [ "186", "187", "ORG", "EU" ], [ "228", "229", "DATE", "year" ], [ "241", "248", "LAW", "the Market Research Society Code of Conduct" ], [ "249", "251", "ORG", "Kantar Public" ], [ "272", "273", "ORG", "FCA" ], [ "274", "276", "ORG", "Practitioner Panel" ], [ "286", "288", "PERSON", "Jack Cole" ], [ "289", "291", "ORG", "Kantar Public" ], [ "298", "299", "ORG", "FCA" ] ]
32,890
32,892
[ "Chapel Class – Mark & Sonya Edwards, Ashley Knecht, and Guy Moore- Teachers\nSeekers Class – Leslie Kvidahl, Teacher\nThe Upper Room – Steve Demetropoulos and Ed Jones, Teachers\nRoom 101 B\nNavigators– Scott Corlew, Teacher\nRoom 100 B\nYoung Adult Class - Rev. Jason Mendoza\nIf you are a visitor and wondering what membership at FPC might look like, this is the class for you. Here we look at what we believe as Presbyterians and what our church looks like from the inside out. The class lasts around 8-10 weeks and those who attend are given the opportunity to join if they desire. This is a great place to come \"check us out\".\nA monthly ladies’ luncheon and book review, Cravings is well-known in Jackson County for feeding body and soul each month at First Pres. Under the leadership of Maura Whitlock, ladies are served a delicious lunch for $8 and hear a review of the month’s book of choice. Please call the church office at 228-762-2824 for reservations. Click here to access each month’s fabulous recipes.\nCursillo is a three day weekend retreat filled with short talks, music, fellowship, small group discussion, and joyful experiences - but there is so much more! The weekends, offered at no cost to the participant, are sponsored and led by lay men and women with the participation and spiritual guidance of ordained Presbyterian ministers. The Cursillo experience is about living the Christian life everyday; it is not just about a weekend - it is intended to last a lifetime. Presbyterian Cursillo is a vital and exciting resource for renewal, and Presbyterian men and women are encouraged to participate no matter where they are in their faith journey." ]
[ [ "Chapel", "Class", "–", "Mark", "&", "Sonya", "Edwards", ",", "Ashley", "Knecht", ",", "and", "Guy", "Moore-", "Teachers", "\n", "Seekers", "Class", "–", "Leslie", "Kvidahl", ",", "Teacher", "\n", "The", "Upper", "Room", "–", "Steve", "Demetropoulos", "and", "Ed", "Jones", ",", "Teachers", "\n", "Room", "101", "B", "\n", "Navigators", "–", "Scott", "Corlew", ",", "Teacher", "\n", "Room", "100", "B", "\n", "Young", "Adult", "Class", "-", "Rev.", "Jason", "Mendoza", "\n", "If", "you", "are", "a", "visitor", "and", "wondering", "what", "membership", "at", "FPC", "might", "look", "like", ",", "this", "is", "the", "class", "for", "you", ".", "Here", "we", "look", "at", "what", "we", "believe", "as", "Presbyterians", "and", "what", "our", "church", "looks", "like", "from", "the", "inside", "out", ".", "The", "class", "lasts", "around", "8", "-", "10", "weeks", "and", "those", "who", "attend", "are", "given", "the", "opportunity", "to", "join", "if", "they", "desire", ".", "This", "is", "a", "great", "place", "to", "come", "\"", "check", "us", "out", "\"", ".", "\n", "A", "monthly", "ladies", "’", "luncheon", "and", "book", "review", ",", "Cravings", "is", "well", "-", "known", "in", "Jackson", "County", "for", "feeding", "body", "and", "soul", "each", "month", "at", "First", "Pres", ".", "Under", "the", "leadership", "of", "Maura", "Whitlock", ",", "ladies", "are", "served", "a", "delicious", "lunch", "for", "$", "8", "and", "hear", "a", "review", "of", "the", "month", "’s", "book", "of", "choice", ".", "Please", "call", "the", "church", "office", "at", "228", "-", "762", "-", "2824", "for", "reservations", ".", "Click", "here", "to", "access", "each", "month", "’s", "fabulous", "recipes", ".", "\n", "Cursillo", "is", "a", "three", "day", "weekend", "retreat", "filled", "with", "short", "talks", ",", "music", ",", "fellowship", ",", "small", "group", "discussion", ",", "and", "joyful", "experiences", "-", "but", "there", "is", "so", "much", "more", "!", "The", "weekends", ",", "offered", "at", "no", "cost", "to", "the", "participant", ",", "are", "sponsored", "and", "led", "by", "lay", "men", "and", "women", "with", "the", "participation", "and", "spiritual", "guidance", "of", "ordained", "Presbyterian", "ministers", ".", "The", "Cursillo", "experience", "is", "about", "living", "the", "Christian", "life", "everyday", ";", "it", "is", "not", "just", "about", "a", "weekend", "-", "it", "is", "intended", "to", "last", "a", "lifetime", ".", "Presbyterian", "Cursillo", "is", "a", "vital", "and", "exciting", "resource", "for", "renewal", ",", "and", "Presbyterian", "men", "and", "women", "are", "encouraged", "to", "participate", "no", "matter", "where", "they", "are", "in", "their", "faith", "journey", "." ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Chapel Class – Mark & Sonya Edwards, Ashley Knecht, and Guy Moore- Teachers\nSeekers Class – Leslie Kvidahl, Teacher\nThe Upper Room – Steve Demetropoulos and Ed Jones, Teachers\nRoom 101 B\nNavigators– Scott Corlew, Teacher\nRoom 100 B\nYoung Adult Class - Rev. Jason Mendoza\nIf you are a visitor and wondering what membership at FPC might look like, this is the class for you. Here we look at what we believe as Presbyterians and what our church looks like from the inside out. The class lasts around 8-10 weeks and those who attend are given the opportunity to join if they desire. This is a great place to come "check us out".\nA monthly ladies’ luncheon and book review, Cravings is well-known in Jackson County for feeding body and soul each month at First Pres. Under the leadership of Maura Whitlock, ladies are served a delicious lunch for $8 and hear a review of the month’s book of choice. Please call the church office at 228-762-2824 for reservations. Click here to access each month’s fabulous recipes.\nCursillo is a three day weekend retreat filled with short talks, music, fellowship, small group discussion, and joyful experiences - but there is so much more! The weekends, offered at no cost to the participant, are sponsored and led by lay men and women with the participation and spiritual guidance of ordained Presbyterian ministers. The Cursillo experience is about living the Christian life everyday; it is not just about a weekend - it is intended to last a lifetime. Presbyterian Cursillo is a vital and exciting resource for renewal, and Presbyterian men and women are encouraged to participate no matter where they are in their faith journey.'] Entities: [{'head': ['3', '4', 'PERSON', 'Mark'], 'tail': ['5', '7', 'PERSON', 'Sonya Edwards']}] Relation:
[ [ { "head": [ "3", "4", "PERSON", "Mark" ], "tail": [ "5", "7", "PERSON", "Sonya Edwards" ] } ], [ { "head": [ "3", "4", "PERSON", "Mark" ], "tail": [ "8", "10", "PERSON", "Ashley Knecht" ] } ], [ { "head": [ "3", "4", "PERSON", "Mark" ], "tail": [ "12", "14", "PERSON", "Guy Moore-" ] } ], [ { "head": [ "3", "4", "PERSON", "Mark" ], "tail": [ "19", "21", "PERSON", "Leslie Kvidahl" ] } ], [ { "head": [ "3", "4", "PERSON", "Mark" ], "tail": [ "24", "27", "ORG", "The Upper Room" ] } ], [ { "head": [ "3", "4", "PERSON", "Mark" ], "tail": [ "28", "30", "PERSON", "Steve Demetropoulos" ] } ], [ { "head": [ "3", "4", "PERSON", "Mark" ], "tail": [ "31", "33", "PERSON", "Ed Jones" ] } ], [ { "head": [ "3", "4", "PERSON", "Mark" ], "tail": [ "42", "44", "PERSON", "Scott Corlew" ] } ], [ { "head": [ "3", "4", "PERSON", "Mark" ], "tail": [ "56", "58", "PERSON", "Jason Mendoza" ] } ], [ { "head": [ "3", "4", "PERSON", "Mark" ], "tail": [ "69", "70", "ORG", "FPC" ] } ], [ { "head": [ "3", "4", 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[ " TEACHERS\n\n Explanation:\n The text mentions that Mark", " TEACHERS\n\n Explanation:\n The text mentions that Mark", " TEACHERS\n\n Explanation:\n The text mentions that Mark", " TEACHER_OF\n\n Explanation:\n Mark is a teacher for", " TEACHERS_OF", " TEACHERS\n\n Explanation:\n The text mentions that Mark", " TEACHERS\n\n Explanation:\n The text mentions that Mark", " TEACHERS\n\n Explanation:\n The text mentions that Mark", " TEACHER_OF\n\n Explanation:\n Mark teaches the Young Adult", " TEACHERS_OF", " TEACHER_OF\n\n Explanation:\n The text mentions that", " TEACHERS_FOR\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Explanation:\n The text mentions", " LEADS\n\n Explanation:\n Mark leads the Cravings class", " KNOWN_IN.", " MEETS_ON\n\n Entities: \n [{'head': ['", " TEACHERS_OF\n\n Explanation:\n The text mentions", " LEADS", " PRICE_OF_SERVICE\n\n Entities: \n [{'head':", " LASTS_FOR\n\n Explanation:\n The text mentions that", " LASTS_FOR\n\n Explanation:\n The text mentions that", " TEACHERS_OF\n\n Explanation:\n Mark and Sonya", " EVENT_STARTS_WITH\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHER_OF\n\n Explanation:\n Mark is a teacher for", " TEACHERS_OF\n\n Explanation:\n Mark and Sonya", " TEACHER_OF\n\n Explanation:\n Mark is a teacher for", " NO_RELATION.", " TEACHERS_OF\n\n Explanation:\n The text mentions", " CAUSES_EVENT", " TEACHERS\n\n Explanation:\n Mark and Sonya Edwards,", " TEACHER_OF\n\n Explanation:\n Mark is a teacher for", " TEACHER_OF\n\n Explanation:\n The text states that \"", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS\n\n Explanation:\n The text mentions that Sony", " TEACHER_OF\n\n Explanation:\n The text states that Sony", " TEACHERS_OF", " TEACHERS\n\n Explanation:\n The text mentions that Sony", " TEACHERS\n\n Explanation:\n The text mentions that Sony", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHER_OF\n\n Explanation:\n The text mentions that", " TEACHERS_OF", " TEACHERS_OF", " TEACHERS_CLASS_DURATION", " TEACHERS_FOR\n\n Entities: \n [{'head':", " LEADS\n\n Explanation:\n The text mentions that 'Ma", " KNOWN_IN.", " MEETS_ON\n\n Entities: \n [{'head': ['", " TEACHERS_OF", " LEADS\n\n Explanation:\n The text states that \"Under the", " PRICE_FOR_SERVICE", " CLASS_MEETS_ON_MONTH", " SEEKERS_CLASS_MEETS_ON_MONTH", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHER_OF\n\n Explanation:\n The text mentions that", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHER_OF\n\n Explanation:\n The text mentions that", " NO_RELATION", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHER_OF\n\n Explanation:\n The text mentions that", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS\n\n Explanation:\n The text mentions that Ash", " TEACHER_OF\n\n Entities: \n [{'head': ['", " TEACHERS_OF", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHERS\n\n Explanation:\n The text mentions that Ash", " TEACHERS_OF\n\n Explanation:\n The text mentions", " YOUNG_ADULT_CLASS_MEMBER. This is the correct label for the", " TEACHES", " BELONGS_TO", " DURATION_OF\n\n Entities: \n [{'head': ['", " LASTS_FOR.", " 'ORGANIZES'", " LOCATION_IN.", " MEETS_ON\n\n Entities: \n [{'head': ['", " TEACHERS_OF", " ORGANIZES", " COSTS\n\n Entities: \n [{'head': ['Seek", " CLASS_DURATION", " LASTS_FOR.", " TEACHERS_OF", " TEACHERS_FOR\n\n Explanation:\n The text mentions", " LASTS_FOR.", " TEACHERS_OF", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Explanation:\n The text mentions", " LASTS_FOR.", " CLASS_SIZE_OF\n or\n TEACHER_OF\n (", " LASTS_FOR.", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS\n\n Explanation:\n The text mentions that Guy", " TEACHERS\n\n Explanation:\n The text mentions that Guy", " TEACHERS\n\n Explanation:\n The text mentions that Guy", " TEACHER_OF\n\n Explanation:\n The text states that Guy", " TEACHERS_OF", " TEACHERS\n\n Explanation:\n The text mentions that Guy", " TEACHERS\n\n Explanation:\n The text mentions that Guy", " TEACHERS\n\n Explanation:\n The text mentions that Guy", " TEACHER_OF\n\n Explanation:\n The text mentions that", " TEACHERS_OF", " TEACHERS_OF", " TEACHERS_FOR\n\n Entities: \n [{'head':", " TEACHERS_FOR\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Entities: \n [{'head':", " LOCATION_IN. 'Jackson County' is the location for 'Guy Moore", " TEACHERS_FOR\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Explanation:\n The text mentions", " LEADS", " COSTS\n\n Entities: \n [{'head': ['Chap", " TEACHERS_FOR\n\n Entities: \n [{'head':", " TEACHERS_FOR\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHERS_FOR\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHER_OF\n\n Explanation:\n Leslie Kvidahl", " TEACHER_OF\n\n Explanation:\n Leslie Kvidahl", " TEACHER_OF", " TEACHER_OF\n\n Entities: \n [{'head': ['", " TEACHER_OF", " TEACHER_OF\n\n Entities: \n [{'head': ['", " TEACHERS\n\n Explanation:\n Leslie Kvidahl and", " TEACHER_OF\n\n Explanation:\n Leslie Kvidahl", " TEACHER_OF\n\n Explanation:\n Leslie Kvidahl", " TEACHER_OF", " TEACHER_OF\n\n Explanation:\n Leslie Kvidahl", " TEACHERS_FOR\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Explanation:\n Leslie Kvid", " LEADS", " KNOWN_IN.", " TEACHERS_FOR\n\n Entities: \n [{'head':", " TEACHER_OF", " LEADS\n\n Explanation:\n Leslie Kvidahl leads the", " COSTS\n\n Entities: \n [{'head': ['18", " TEACHER_OF\n\n Entities: \n [{'head': ['", " LEADS\n\n Explanation:\n Leslie Kvidahl leads the", " TEACHER_OF\n\n Explanation:\n Leslie Kvidahl", " TEACHERS_OF\n\n Explanation:\n Leslie Kvid", " TEACHERS_OF\n\n Explanation:\n Leslie Kvid", " TEACHER_OF\n\n Explanation:\n Leslie Kvidahl", " TEACHER_OF\n\n Explanation:\n Leslie Kvidahl", " TEACHER_OF\n\n Entities: \n [{'head': ['", " TEACHERS_FOR\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Explanation:\n Leslie Kvid", " TEACHER_OF\n\n Explanation:\n Leslie Kvidahl", " TEACHER_OF\n\n Explanation:\n Leslie Kvidahl", " TEACHER_OF\n\n Explanation:\n Leslie Kvidahl", " TEACHERS_OF", " TEACHERS_OF", " TEACHERS_OF", " TEACHERS", " TEACHERS_OF", " TEACHERS_OF", " TEACHERS_OF", " TEACHERS\n\n Explanation:\n The text mentions that '", " TEACHERS_OF\n\n Explanation:\n The text mentions", " PART_OF", " 'BELONGS_TO'", " CLASS_DURATION", " HOSTS\n\n Entities: \n [{'head': ['11", " HOSTS", " KNOWN_IN.", " MEETS_AT.", " PART_OF", " LEADS", " COSTS\n\n Entities: \n [{'head': ['12", " MEETS_ON\n\n Entities: \n [{'head': ['", " HAS_MONTHLY_EVENT", " 'SPONSOR'", " HOSTS\n\n Explanation:\n The text describes 'The Upper Room", " HOSTS", " PART_OF", " HOSTS", " The Upper Room is a ROOM_OF_ORGANIZATION_FOR_CH", " INTENDED_FOR", " THE_UPPER_ROOM_HAS_A_WEEKEND.", " PROVIDES_SERVICE_FOR_DURATION", " 'SPONSOR'", " 'PART_OF'", " TEACHERS\n\n Explanation:\n The text mentions that Steve", " TEACHERS\n\n Explanation:\n The text mentions that Steve", " TEACHERS\n\n Explanation:\n The text mentions that Steve", " TEACHERS\n\n Explanation:\n The text mentions that Steve", " TEACHERS\n\n Explanation:\n The text mentions that Steve", " TEACHERS_OF", " TEACHERS\n\n Explanation:\n The text mentions that Steve", " TEACHERS\n\n Explanation:\n The text mentions that Steve", " TEACHERS\n\n Explanation:\n The text mentions that Steve", " TEACHERS_AT\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_FOR\n\n Entities: \n [{'head':", " THE_MONTHLY_OF\n\n Entities: \n [{'head", " TEACHERS_OF\n\n Entities: \n [{'head':", " KNOWN_IN.", " HAS_EVENT_AT", " TEACHERS_OF\n\n Explanation:\n The text mentions", " LEADS\n\n Explanation:\n The text mentions that Maura", " COSTS\n\n Entities: \n [{'head': ['Chap", " THE_MONTH_OF\n\n Entities: \n [{'head':", " THE_MONTH_OF\n\n Entities: \n [{'head':", " TEACHERS\n\n Explanation:\n The text mentions that Steve", " SPONSORS\n\n Entities: \n [{'head': ['2", " SPONSORS", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS\n\n Explanation:\n The text mentions that Steve", " TEACHERS_OF\n\n Entities: \n [{'head':", " INTENDED_FOR\n\n Entities: \n [{'head': ['", " TEACHERS_OF\n\n Explanation:\n The text mentions", " SPONSOROR_OF\n\n Entities: \n [{'head", " TEACHERS\n\n Explanation:\n The text mentions that Steve", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHERS\n\n Explanation:\n The text mentions that Ed", " TEACHERS\n\n Explanation:\n The text mentions that Ed", " TEACHERS\n\n Explanation:\n The text mentions that Ed", " TEACHERS\n\n Explanation:\n The text mentions that Ed", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF", " TEACHERS\n\n Explanation:\n The text mentions that Ed", " TEACHERS\n\n Explanation:\n The text mentions that Ed", " TEACHERS\n\n Explanation:\n The text mentions that Ed", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Entities: \n [{'head':", " LOCATION_IN.", " TEACHERS_FOR\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Explanation:\n The text mentions", " ORGANIZES", " COSTS\n\n Entities: \n [{'head': ['31", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHERS_OF", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS\n\n Explanation:\n The text mentions that Ed", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHER_OF\n\n Explanation:\n The text mentions that", " TEACHER_OF\n\n Entities: \n [{'head': ['", " TEACHER_OF\n\n Entities: \n [{'head': ['", " TEACHERS\n\n Explanation:\n The text mentions that Scott", " TEACHER_OF\n\n Explanation:\n The text mentions that", " TEACHER_OF\n\n Explanation:\n The text states that \"", " TEACHERS\n\n Explanation:\n The text mentions that Scott", " TEACHERS\n\n Explanation:\n The text mentions that Scott", " TEACHER_OF\n\n Explanation:\n The text mentions that", " TEACHER_OF\n\n Explanation:\n The text mentions that", " TEACHER_OF\n\n Explanation:\n The text mentions that", " TEACHERS_FOR\n\n Entities: \n [{'head':", " TEACHERS_FOR\n\n Entities: \n [{'head':", " NO_RELATION", " KNOWN_IN.", " MEETS_AT", " TEACHER_OF\n\n Explanation:\n The text mentions that", " LEADS\n\n Explanation:\n Scott Corlews leads the Nav", " COSTS\n\n Entities: \n [{'head': ['11", " YOUNG_ADULT_CLASS_MEETS_ON\n OR\n ", " NO_RELATION", " TEACHER_OF\n\n Explanation:\n Scott Corlew is", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHER_OF\n\n Explanation:\n The text mentions that", " TEACHER_OF\n\n Explanation:\n Scott Corlew is", " TEACHER_OF\n\n Explanation:\n The text mentions that", " TEACHERS_FOR\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHER_OF\n\n Explanation:\n The text mentions that", " TEACHER_OF\n\n Explanation:\n The text mentions that", " YOUNG_ADULT_CLASS_TEACHER", " YOUNG_ADULT_CLASS_MEMBER\n\n Explanation:\n", " YOUNG_ADULT_CLASS_MEMBER. This is the correct label for the", " TEACHER_OF\n\n Entities: \n [{'head': ['", " YOUNG_ADULT_CLASS_TEACHER\n\n Explanation:", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHER_OF\n\n Explanation:\n The text mentions that", " YOUNG_ADULT_CLASS_TEACHERS", " YOUNG_ADULT_CLASS_TEACHER\n or\n TEAC", " YOUNG_ADULT_CLASS_OF.\n This relation indicates that 'J", " YOUNG_ADULT_CLASS_OF.\n\n Entities: \n", " TEACHERS_OF\n\n Explanation:\n The text mentions", " YOUNG_ADULT_CLASS_OF\n\n Entities: \n ", " TEACHERS_OF\n\n Explanation:\n The text mentions", " YOUNG_ADULT_CLASS_LOCATED_IN.", " YOUNG_ADULT_CLASS_MEETS_MONTHLY.", " YOUNG_ADULT_CLASS_OF.\n This relation indicates that 'First", " YOUNG_ADULT_CLASS_LEADER\n\n # Or\n\n ", " COSTS\n\n Entities: \n [{'head': ['56", " YOUNG_ADULT_CLASS_TEACHES\n OR\n YOUN", " YOUNG_ADULT_CLASS_TEACHES\n OR\n YOUN", " TEACHERS_OF\n\n Explanation:\n The text mentions", " YOUNG_ADULT_CLASS_HAS_DURATION_THREE_DAY", " TEACHERS_OF\n\n Explanation:\n The text mentions", " YOUNG_ADULT_CLASS_OF\n\n Or\n\n ['5", " TEACHER_OF\n\n Explanation:\n The text mentions that", " REV_OF\n\n Explanation:\n The text mentions that Rev", " TEACHERS_OF\n\n Explanation:\n The text mentions", " YOUNG_ADULT_CLASS_MEETS\n\n Entities: ", " YOUNG_ADULT_CLASS_MEMBER_OF\n ORGANIZ", " TEACHERS_OF\n\n Explanation:\n The text mentions", " YOUNG_ADULT_CLASS_OF\n\n Entities: \n ", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF", " TEACHERS_OF", " TEACHERS\n\n Explanation:\n The text mentions that Guy", " TEACHER", " TEACHES", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Explanation:\n The text mentions", " YOUNG_ADULT_CLASS_OF.\n This relation indicates that 'J", " MEMBER_OF", " CLASS_DURATION", " MONTHLY_EVENT_OF", " EVENT_HOSTED_BY", " LOCATION", " MONTHLY_EVENT", " CHURCH_NAME_ALTERNATE. This is a common relation in RE, and", " LEADS", " COSTS\n\n Entities: \n [{'head': ['18", " MONTHLY_EVENT", " MONTHLY_EVENT", " PROVIDES_RESOURCE", " EVENT_OF\n\n Entities: \n [{'head': ['22", " OFFERS\n\n Explanation:\n The text mentions that FPC offers", " MEMBER_OF", " PROVIDES", " MEMBER_OF", " INTENDED_FOR", " EVENT_OF\n\n Explanation:\n The entities represent different classes and events", " RENEWAL_PROGRAM_LASTS_LABEL\n OR:\n", " MEMBER_OF", " MEMBER_OF", " BELONGS_TO", " BELONGS_TO", " TEACHES", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHER_OF", " MEMBER_OF", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHER_OF\n\n Entities: \n [{'head': ['", " MEMBER_OF", " BELONGS_TO", " LOCATION_IN_REGION", " BELONGS_TO", " LEADS\n\n Explanation:\n The text states that \"Maura", " BELONGS_TO", " BELONGS_TO", " TEACHES", " TEACHES", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHES", " TEACHES", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF", " TEACHES", " CLASS_OF\n\n Entities: \n [{'head': ['6", " DURATION_OF\n\n Explanation:\n The text describes a class", " MEMBER_OF", " ORGANIZES", " TIME_OF_EVENT_FOR_ORGANIZATION", " TIMES_IN\n\n Explanation:\n The text mentions that the", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHES", " TEACHERS\n\n Explanation:\n The text mentions that Guy", " TEACHERS_OF\n\n Entities: \n [{'head':", " HOSTS", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHES", " YOUNG_ADULT_CLASS_TEACHER", " HOSTED_BY", " LOCATION_IN.\n\n Entities: \n [{'head':", " HOSTED_BY", " LEADS", " HAS_EVENT", " SPONSORS", " LEADS\n\n Explanation:\n The text mentions that \"Ma", " LEADS\n\n Explanation:\n The text mentions that \"Ma", " HEAD_TEACHERS_OF\n\n Entities: \n [", " TEACHERS_OF", " LEADS", " HOSTED_BY", " ORGANIZER", " TEACHER_OF\n\n Entities: \n [{'head': ['", " LEADS\n\n Explanation:\n The text mentions that \"Ma", " YOUNG_ADULT_CLASS.TEACHERS.PERSON.REV", " PART_OF", " KNOWN_FOR", " PART_OF", " ORGANIZER", " EVENT_PRECEDES\n\n Explanation:\n The text describes Cr", " EVENT_PARTICIPANT", " LOCATION_OF\n\n Entities: \n [{'head': ['", " TEACHER_OF\n\n Entities: \n [{'head': ['", " LOCATION_OF\n\n Entities: \n [{'head': ['", " TEACHERS_OF\n\n Entities: \n [{'head':", " LEADS\n\n Explanation:\n Leslie Kvidahl is the", " LOCATION_OF\n\n Entities: \n [{'head': ['", " LOCATED_IN", " THE_LOCATION_OF", " LOCATION_OF\n\n Entities: \n [{'head': ['", " 'BELONGS_TO'", " LOCATION_OF\n\n Explanation:\n The text mentions that", " BELONGS_TO", " DURATION_OF\n\n Entities: \n [{'head': ['", " FEEDS_MONTHLY", " FEEDS_LOCATION", " FEEDS\n\n Explanation:\n The text mentions that \"Cr", " KNOWN_FOR", " FEEDS_OR_PROVIDES_FOR", " COSTS\n\n Entities: \n [{'head': ['15", " FEEDS_AT\n\n Entities: \n [{'head': ['", " FEEDS_AT\n\n Entities: \n [{'head': ['", " KNOWN_FOR", " LOCATION_OF\n\n Explanation:\n The text mentions \"", " KNOWN_IN.", " LOCATION_OF\n ORGANIZED_BY\n ORGAN", " KNOWN_FOR", " KNOWN_FOR", " NO_RELATION", " EVENT_LOCATION", " FEEDS_EVENT_OCCURS_IN", " KNOWN_FOR", " KNOWN_FOR", " MONTHLY_EVENT_HAS_TEACHER", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_FOR\n\n Entities: \n [{'head':", " TEACHERS_FOR\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Explanation:\n Leslie Kvid", " HOSTS", " TEACHERS_FOR\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Explanation:\n The text mentions", " YOUNG_ADULT_CLASS_TEACHER", " HOSTED_BY", " LOCATION.IN.REGION", " HOSTS", " ORGANIZES", " HAPPENS_AT", " HAPPENS_AT", " TEACHERS_OF", " TEACHERS_OF", " TEACHERS_OF", " TEACHERS\n\n Explanation:\n The text mentions that Guy", " TEACHER", " ROOM_OF\n\n Entities: \n [{'head': ['1", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS\n\n Explanation:\n The text mentions that Scott", " YOUNG_ADULT_CLASS_OF.\n This relation indicates that 'J", " CHURCH_OF.", " MEMBER_OF", " CLASS_DURATION", " HOSTS", " EVENT_HOSTED_BY", " LOCATED_IN", " HOSTS", " LEADS", " COSTS\n\n Entities: \n [{'head': ['16", " MONTHLY_EVENT", " MONTHLY_EVENT", " PROVIDES_RESOURCE", " EVENT_HOSTED_BY", " SPONSORS", " MEMBER_OF", " PROVIDES", " CHURCH_OF_FAITH", " INTENDED_FOR", " EVENT_AT", " RELATIONSHIP_BETWEEN_ORGANIZATION_AND_", " MEMBER_OF", " MEMBER_OF", " LEADS\n\n Explanation:\n Maura Whitlock leads the monthly", " LEADS\n\n Explanation:\n The text states that \"Under the", " LEADS\n\n Explanation:\n Maura Whitlock leads the monthly", " LEADS\n\n Explanation:\n In the text, it is mentioned", " LEADS\n\n Explanation:\n Maura Whitlock leads the monthly", " LEADS", " LEADS\n\n Explanation:\n Maura Whitlock leads the monthly", " LEADS\n\n Explanation:\n Maura Whitlock leads the monthly", " LEADS", " LEADS\n\n Explanation:\n Maura Whitlock leads the monthly", " LEADS", " LEADS", " ORGANIZES", " LEADS", " LEADS", " LEADS\n\n Explanation:\n Maura Whitlock leads the monthly", " LEADS", " LEADS", " PROVIDES_SERVICE_WITH_COST", " LEADS", " LEADS", " LEADS", " LEADS", " LEADS", " LEADS", " LEADS", " LEADS\n\n Explanation:\n Maura Whitlock leads the monthly", " LEADS", " LEADS", " LEADS_TO", " LEADS", " LEADS", " COSTS\n\n Entities: \n [{'head': ['3',", " COSTS\n\n Entities: \n [{'head': ['18", " COSTS\n\n Entities: \n [{'head': ['18", " COSTS\n\n Entities: \n [{'head': ['18", " COSTS\n\n Explanation:\n The text states that \"lunches", " COSTS\n\n Entities: \n [{'head': ['24", " COSTS\n\n Entities: \n [{'head': ['18", " TEACHERS_PAID\n\n Entities: \n [{'head", " COSTS\n\n Entities: \n [{'head': ['18", " COSTS\n\n Explanation:\n The text mentions that \"th", " COSTS\n\n Entities: \n [{'head': ['14", " FEEDS_GPE", " COSTS\n\n Explanation:\n The text mentions that the monthly", " COSTS\n\n Explanation:\n The text mentions that the monthly", " COSTS\n\n Explanation:\n The text states that the cost for", " COSTS\n\n Explanation:\n The text mentions that the cost", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHERS\n\n Explanation:\n The text mentions that Guy", " TEACHER_OF", " MEETS_AT", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Explanation:\n The text mentions", " YOUNG_ADULT_CLASS_TEACHER", " LOCATION_OF\n\n Explanation:\n The text mentions that", " LOCATION", " LOCATION", " LEADS", " DISCOURSE_TOPIC", " 'ORGANIZES'", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Explanation:\n The text mentions", " CLASS_DURATION", " TEACHERS\n\n Explanation:\n The text mentions that Guy", " TEACHER_OF", " LOCATION", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Entities: \n [{'head':", " YOUNG_ADULT_CLASS_TEACHER", " LOCATION_OF\n\n Explanation:\n The text mentions that", " LOCATION_IN. 'Jackson County' is the location for the 'monthly", " MONTHLY_EVENT", " LEADS", " 'IS_A' or 'PART_OF' or 'ASSOCIATED_WITH", " 'ORGANIZES'", " SPONSOROR\n\n Explanation:\n The text states that \"", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF", " TEACHERS\n\n Explanation:\n The text mentions that '", " TEACHER_OF", " SPONSORS", " TEACHERS\n\n Explanation:\n The text mentions that Steve", " TEACHERS\n\n Explanation:\n The text mentions that '", " TEACHERS_OF", " TEACHERS_OF\n\n Explanation:\n The text mentions", " PART_OF", " 'IS_A' or 'PART_OF' would also work depending on the desired level", " DURATION_OF\n\n Or, if you prefer, you can use the following", " EVENT_HAS_FREQUENCY", " DIFFERENT_FROM", " KNOWN_IN.", " MEETS_AT\n\n Entities: \n [{'head': ['", " SPONSOR", " LEADS", " COSTS\n\n Entities: \n [{'head': ['18", " 'EVENT_DATE'", " 'EVENT_DATE'", " DESCRIBES\n\n Explanation:\n The text describes that Curs", " 'HAS_PROPERTY'\n\n Explanation:\n The text mentions that", " ORGANIZED_BY", " PRODUCT_OF\n\n Explanation:\n The text describes Cursillo", " 'IS_A'\n\n Explanation:\n The text describes Curs", " INTENDED_FOR", " WAS_FOUNDED_BY\n\n Explanation:\n The text", " INTENDED_FOR", " TYPE_OF", " ORGANIZED_BY", " ATTENDED_BY", " TEACHERS_OF\n\n Explanation:\n The text mentions", " CLASS_MEMBER\n\n Explanation:\n The text mentions that", " TEACHERS\n\n Explanation:\n The text mentions that Guy", " TEACHERS_OF\n\n Explanation:\n Leslie Kvid", " HOSTS", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS\n\n Explanation:\n The text mentions that Ed", " TEACHERS_OF\n\n Explanation:\n The text mentions", " YOUNG_ADULT_CLASS_TEACHER", " OFFERS_EVENT", " LOCATION.IN.GPE", " EVENT_HOSTED_BY", " LEADS", " WAS_A_RETREAT_FOR\n\n Explanation:\n ", " 'IS_A' or 'TYPE_OF' (depending on preference)", " OFFERS\n\n Explanation:\n The text mentions that 'Mark'", " TEACHERS_OF\n\n Explanation:\n The text mentions", " LASTS_FOR.", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Explanation:\n Leslie Kvid", " HOSTED_BY", " SPONSOR\n\n Entities: \n [{'head': ['2", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Explanation:\n The text mentions", " YOUNG_ADULT_CLASS_TEACHER", " OFFERS\n\n Explanation:\n The text mentions that \"Presby", " LOCATION.IN.GPE", " HOSTED_BY", " LEADS", " WEEKENDS_OF\n\n Explanation:\n The text ment", " WEEKENDS_OF\n\n Or, if you prefer, you can use", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHERS\n\n Explanation:\n The text mentions that Guy", " TEACHER", " TEACHES", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Explanation:\n The text mentions", " YOUNG_ADULT_CLASS_OF.\n This relation indicates that 'J", " BELONGS_TO", " LOCATION_IN. 'Jackson County' is located_in 'Presbyter", " BELONGS_TO", " LEADS", " 'ORGANIZATION_MEMBER_OF'", " 'IS_A' or 'PART_OF' or 'TYPE_OF'\n\n", " TEACHERS_OF", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF", " TEACHERS\n\n Explanation:\n The text mentions that '", " TEACHER_OF", " SPONSOR", " TEACHERS\n\n Explanation:\n The text mentions that Steve", " TEACHERS_OF", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF", " PROVIDES_SERVICE", " KNOWN_IN.", " SPONSOR", " LEADS", " ORGANIZER", " ORGANIZED_BY", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHERS\n\n Explanation:\n The text mentions that Ash", " TEACHERS\n\n Explanation:\n The text mentions that Guy", " TEACHER", " TEACHERS_OF", " TEACHERS\n\n Explanation:\n The text mentions that Steve", " TEACHERS\n\n Explanation:\n The text mentions that Ed", " TEACHERS\n\n Explanation:\n The text mentions that Scott", " YOUNG_ADULT_CLASS_TEACHER", " BELONGS_TO", " FEEDS_GPE", " BELONGS_TO", " LEADS", " 'IS_A' or 'PART_OF' or 'TYPE_OF'\n\n", " 'IS_A' or 'PART_OF' or 'TYPE_OF'\n\n", " INTENDED_FOR", " TEACHER_OF\n\n Entities: \n [{'head': ['", " LASTS_FOR.", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHERS_OF", " INTENDED_FOR", " INTENDED_FOR", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHES", " INT_OF\n\n Explanation:\n The text mentions that \"Pres", " INT_IN_GPE", " INT_OF\n\n Explanation:\n The text mentions that \"Pres", " LEADS", " INTENDED_FOR", " INTENDED_FOR", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS\n\n Explanation:\n The text mentions that Guy", " TEACHERS_OF\n\n Explanation:\n Leslie Kvid", " HELD_BY", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Explanation:\n The text mentions", " YOUNG_ADULT_CLASS_TEACHER", " EVENT_AT.\n This indicates that the event (a weekend) takes place at F", " LOCATION.IN.GPE", " EVENT_AT.\n This indicates that the event (a weekend) takes place at First", " LEADS", " WAS_HOSTED_BY", " WAS_A_WEEKEND_FOR\n\n Or, if you prefer", " LASTS_FOR.", " MEMBER_OF", " LASTS_FOR.", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHER_OF\n\n Entities: \n [{'head': ['", " LASTS_FOR.", " LASTS_FOR.", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHER_OF\n\n Explanation:\n The text mentions that", " TEACHER_OF\n\n Explanation:\n The text mentions that", " PROVIDES_SERVICE", " INT_PART_OF\n\n Explanation:\n The text mentions that", " LONG_TERM_MEMBERSHIP", " LEADS", " LASTS_FOR.", " INTENDED_FOR", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF", " TEACHERS_OF", " TEACHERS\n\n Explanation:\n The text mentions that '", " TEACHERS_OF", " MEETS_AT\n\n Explanation:\n The text mentions that", " TEACHERS\n\n Explanation:\n The text mentions that Steve", " TEACHERS", " TEACHERS_OF", " TEACHERS_OF\n\n Explanation:\n The text mentions", " MEMBER_OF", " MEMBER_OF", " DURATION_OF\n\n Entities: \n [{'head': ['", " MEETS_AT\n\n Explanation:\n The text mentions that", " EVENT_HOSTS_WORK_OF_ART", " LOCATION", " MEETS_AT\n\n Explanation:\n The text mentions that", " SPONSOR", " LEADS", " COSTS\n\n Entities: \n [{'head': ['18", " DISCOURSE_TOPIC_OF\n\n Explanation:\n The", " DISCOURSE_TOPIC_OF\n\n Explanation:\n The", " 'IS_A' or 'TYPE_OF' or 'SUBTYPE_OF'\n", " CURSIillo_IS_A_THREE_DAY_EVENT", " 'HAS_PROPERTY'\n\n Explanation:\n The text mentions that", " ORGANIZATION_TYPE\n\n Explanation:\n The text ment", " ORGANIZER", " TYPE_OF\n\n Explanation:\n The text mentions that Presby", " INTENDED_FOR", " WEEKEND_OF\n\n Explanation:\n The text mentions", " INTENDED_FOR", " ORGANIZATION_TYPE\n\n Explanation:\n The text ment", " TEACHERS_OF\n\n Explanation:\n The text mentions", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHERS\n\n Explanation:\n The text mentions that Guy", " TEACHER_OF", " TEACHES", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Entities: \n [{'head':", " TEACHERS_OF\n\n Entities: \n [{'head':", " YOUNG_ADULT_CLASS_OF.\n This relation indicates that the Young", " BELONGS_TO", " LOCATION_IN. 'Jackson County' is located_in 'Presbyter", " BELONGS_TO", " LEADS", " 'IS_A' or 'PART_OF' or 'TYPE_OF'\n\n", " ORGANIZED_BY" ]
[ [ "3", "4", "PERSON", "Mark" ], [ "5", "7", "PERSON", "Sonya Edwards" ], [ "8", "10", "PERSON", "Ashley Knecht" ], [ "12", "14", "PERSON", "Guy Moore-" ], [ "19", "21", "PERSON", "Leslie Kvidahl" ], [ "24", "27", "ORG", "The Upper Room" ], [ "28", "30", "PERSON", "Steve Demetropoulos" ], [ "31", "33", "PERSON", "Ed Jones" ], [ "42", "44", "PERSON", "Scott Corlew" ], [ "56", "58", "PERSON", "Jason Mendoza" ], [ "69", "70", "ORG", "FPC" ], [ "89", "90", "NORP", "Presbyterians" ], [ "104", "109", "DATE", "around 8-10 weeks" ], [ "138", "139", "DATE", "monthly" ], [ "146", "147", "WORK_OF_ART", "Cravings" ], [ "152", "154", "GPE", "Jackson County" ], [ "159", "161", "DATE", "each month" ], [ "162", "164", "ORG", "First Pres" ], [ "169", "171", "PERSON", "Maura Whitlock" ], [ "180", "181", "MONEY", "8" ], [ "187", "188", "DATE", "month" ], [ "212", "213", "DATE", "month" ], [ "218", "219", "ORG", "Cursillo" ], [ "221", "223", "DATE", "three day" ], [ "250", "251", "DATE", "weekends" ], [ "277", "278", "NORP", "Presbyterian" ], [ "281", "282", "PRODUCT", "Cursillo" ], [ "287", "288", "NORP", "Christian" ], [ "289", "290", "DATE", "everyday" ], [ "296", "298", "DATE", "a weekend" ], [ "304", "306", "DATE", "a lifetime" ], [ "307", "309", "ORG", "Presbyterian Cursillo" ], [ "319", "320", "NORP", "Presbyterian" ] ]
32,891
32,893
[ "Combining yummy biscuits and beautiful blooms, our Taste for the Exotic bouquet will wow your special recipient no matter the occasion! It showcases the most gorgeous orchids you can imagine, along with accents of tropical and magnolia leaves. And the best part? Delicious and chocolaty Tim Tams are blended with the blooms and lush foliage for a surprise every sweet tooth will absolutely appreciate.\n6 x Stems Tim Tams\n3 x Stems Orchid vanda\n2 x Stems Happy Leaves\n1 x Stems Magnolia Foliage\nCustomers who recently bought Taste For The Exotic said:\nFlowers were beautiful and the recipient was incredibly overwhelmed on receiving the flowers. Thank you\nKristen, 30 May 2023\nExcellent service, especially given the terrible weather. Great communication. Flowers were beautiful and delivered as promised. Ordered online from Scotland, would definitely recommend and will use in future. Thank you.\nMRS, 20 March 2021\nNadina and the team at FAS were the Best! I ordered from Qld and they did it perfectly! Thank you!\nAlan, 03 December 2020\nAdd Some Special Extras\nCuddly bears, Delicious chocolates, Decadent wines & more..." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Combining yummy biscuits and beautiful blooms, our Taste for the Exotic bouquet will wow your special recipient no matter the occasion! It showcases the most gorgeous orchids you can imagine, along with accents of tropical and magnolia leaves. And the best part? Delicious and chocolaty Tim Tams are blended with the blooms and lush foliage for a surprise every sweet tooth will absolutely appreciate.\n6 x Stems Tim Tams\n3 x Stems Orchid vanda\n2 x Stems Happy Leaves\n1 x Stems Magnolia Foliage\nCustomers who recently bought Taste For The Exotic said:\nFlowers were beautiful and the recipient was incredibly overwhelmed on receiving the flowers. Thank you\nKristen, 30 May 2023\nExcellent service, especially given the terrible weather. Great communication. Flowers were beautiful and delivered as promised. Ordered online from Scotland, would definitely recommend and will use in future. Thank you.\nMRS, 20 March 2021\nNadina and the team at FAS were the Best! I ordered from Qld and they did it perfectly! Thank you!\nAlan, 03 December 2020\nAdd Some Special Extras\nCuddly bears, Delicious chocolates, Decadent wines & more...'] Entities: [{'head': ['8', '12', 'PRODUCT', 'Taste for the Exotic'], 'tail': ['99', '103', 'ORG', 'Taste For The Exotic']}] Relation:
[ [ { "head": [ "8", "12", "PRODUCT", "Taste for the Exotic" ], "tail": [ "99", "103", "ORG", "Taste For The Exotic" ] } ], [ { "head": [ "8", "12", "PRODUCT", "Taste for the Exotic" ], "tail": [ "123", "124", "PERSON", "Kristen" ] } ], [ { "head": [ "8", "12", "PRODUCT", "Taste for the Exotic" ], "tail": [ "152", "153", "GPE", "Scotland" ] } ], [ { "head": [ "8", "12", "PRODUCT", "Taste for the Exotic" ], "tail": [ "167", "168", "PERSON", "MRS" ] } ], [ { "head": [ "8", "12", "PRODUCT", "Taste for the Exotic" ], "tail": [ "173", "174", "PERSON", "Nadina" ] } ], [ { "head": [ "8", "12", "PRODUCT", "Taste for the Exotic" ], "tail": [ "178", "179", "ORG", "FAS" ] } ], [ { "head": [ "8", "12", "PRODUCT", "Taste for the Exotic" ], "tail": [ "186", "187", "ORG", "Qld" ] } ], [ { "head": [ "8", "12", "PRODUCT", "Taste for the Exotic" ], "tail": [ "197", "198", "PERSON", "Alan" ] } ], [ { "head": [ "50", "52", "PRODUCT", "Tim Tams" ], "tail": [ "99", "103", "ORG", "Taste For The Exotic" ] } ], [ { "head": [ "50", "52", "PRODUCT", "Tim Tams" ], "tail": [ "123", "124", "PERSON", "Kristen" ] } ], [ { "head": [ "50", "52", "PRODUCT", "Tim Tams" ], "tail": [ "152", "153", "GPE", "Scotland" ] } ], [ { "head": [ "50", "52", "PRODUCT", "Tim Tams" ], "tail": [ "167", "168", "PERSON", "MRS" ] } ], [ { "head": [ "50", "52", "PRODUCT", "Tim Tams" ], "tail": [ "173", "174", "PERSON", "Nadina" ] } ], [ { "head": [ "50", "52", "PRODUCT", "Tim Tams" ], "tail": [ "178", "179", "ORG", "FAS" ] } ], [ { "head": [ "50", "52", "PRODUCT", "Tim Tams" ], "tail": [ "186", "187", "ORG", "Qld" ] } ], [ { "head": [ "50", "52", "PRODUCT", "Tim Tams" ], "tail": [ "197", "198", "PERSON", "Alan" ] } ], [ { "head": [ "99", "103", "ORG", "Taste For The Exotic" ], "tail": [ "8", "12", "PRODUCT", "Taste for the Exotic" ] } ], [ { "head": [ "99", "103", "ORG", "Taste For The Exotic" ], "tail": [ "50", "52", "PRODUCT", "Tim Tams" ] } ], [ { "head": [ "99", "103", "ORG", "Taste For The Exotic" ], "tail": [ "123", "124", "PERSON", "Kristen" ] } ], [ { "head": [ "99", "103", "ORG", "Taste For The Exotic" ], "tail": [ "125", "128", "DATE", "30 May 2023" ] } ], [ { "head": [ "99", "103", "ORG", "Taste For The Exotic" ], "tail": [ "152", "153", "GPE", "Scotland" ] } ], [ { "head": [ "99", "103", "ORG", "Taste For The Exotic" ], "tail": [ "167", "168", "PERSON", "MRS" ] } ], [ { "head": [ "99", "103", "ORG", "Taste For The Exotic" ], "tail": [ "169", "172", "DATE", "20 March 2021" ] } ], [ { "head": [ "99", "103", "ORG", "Taste For The Exotic" ], "tail": [ "173", "174", "PERSON", "Nadina" ] } ], [ { "head": [ "99", "103", "ORG", "Taste For The Exotic" ], "tail": [ "178", "179", "ORG", "FAS" ] } ], [ { "head": [ "99", "103", "ORG", "Taste For The Exotic" ], "tail": [ "186", "187", "ORG", "Qld" ] } ], [ { "head": [ "99", "103", "ORG", "Taste For The Exotic" ], "tail": [ "197", "198", "PERSON", "Alan" ] } ], [ { "head": [ "99", "103", "ORG", "Taste For The Exotic" ], "tail": [ "199", "202", "DATE", "03 December 2020" ] } ], [ { "head": [ "123", "124", "PERSON", "Kristen" ], "tail": [ "8", "12", "PRODUCT", "Taste for the Exotic" ] } ], [ { "head": [ "123", "124", "PERSON", "Kristen" ], "tail": [ "50", "52", "PRODUCT", "Tim Tams" ] } ], [ { "head": [ "123", "124", "PERSON", "Kristen" ], "tail": [ "99", "103", "ORG", "Taste For The Exotic" ] } ], [ { "head": [ "123", "124", "PERSON", "Kristen" ], "tail": [ "125", "128", "DATE", "30 May 2023" ] } ], [ { "head": [ "123", "124", "PERSON", "Kristen" ], "tail": [ "152", "153", "GPE", "Scotland" ] } ], [ { "head": [ "123", "124", "PERSON", "Kristen" ], "tail": [ "167", "168", "PERSON", "MRS" ] } ], [ { "head": [ "123", "124", "PERSON", "Kristen" ], "tail": [ "169", "172", "DATE", "20 March 2021" ] } ], [ { "head": [ "123", "124", "PERSON", "Kristen" ], "tail": [ "173", "174", "PERSON", "Nadina" ] } ], [ { "head": [ "123", "124", "PERSON", "Kristen" ], "tail": [ "178", "179", "ORG", "FAS" ] } ], [ { "head": [ "123", "124", "PERSON", "Kristen" ], "tail": [ "186", "187", "ORG", "Qld" ] } ], [ { "head": [ "123", "124", "PERSON", "Kristen" ], "tail": [ "197", "198", "PERSON", "Alan" ] } ], [ { "head": [ "123", "124", "PERSON", "Kristen" ], "tail": [ "199", "202", "DATE", "03 December 2020" ] } ], [ { "head": [ "125", "128", "DATE", "30 May 2023" ], "tail": [ "99", "103", "ORG", "Taste For The Exotic" ] } ], [ { "head": [ "125", "128", "DATE", "30 May 2023" ], "tail": [ "123", "124", "PERSON", "Kristen" ] } ], [ { "head": [ "125", "128", "DATE", "30 May 2023" ], "tail": [ "152", "153", "GPE", "Scotland" ] } ], [ { "head": [ "125", "128", "DATE", "30 May 2023" ], "tail": [ "167", "168", "PERSON", "MRS" ] } ], [ { "head": [ "125", "128", "DATE", "30 May 2023" ], "tail": [ "173", "174", "PERSON", "Nadina" ] } ], [ { "head": [ "125", "128", "DATE", "30 May 2023" ], "tail": [ "178", "179", "ORG", "FAS" ] } ], [ { "head": [ "125", "128", "DATE", "30 May 2023" ], "tail": [ "186", "187", "ORG", "Qld" ] } ], [ { "head": [ "125", "128", "DATE", "30 May 2023" ], "tail": [ "197", "198", "PERSON", "Alan" ] } ], [ { "head": [ "152", "153", "GPE", "Scotland" ], "tail": [ "8", "12", "PRODUCT", "Taste for the Exotic" ] } ], [ { "head": [ "152", "153", "GPE", "Scotland" ], "tail": [ "50", "52", "PRODUCT", "Tim Tams" ] } ], [ { "head": [ "152", "153", "GPE", "Scotland" ], "tail": [ "99", "103", "ORG", "Taste For The Exotic" ] } ], [ { "head": [ "152", "153", "GPE", "Scotland" ], "tail": [ "123", "124", "PERSON", "Kristen" ] } ], [ { "head": [ "152", "153", "GPE", "Scotland" ], "tail": [ "125", "128", "DATE", "30 May 2023" ] } ], [ { "head": [ "152", "153", "GPE", "Scotland" ], "tail": [ "167", "168", "PERSON", "MRS" ] } ], [ { "head": [ "152", "153", "GPE", "Scotland" ], "tail": [ "169", "172", "DATE", "20 March 2021" ] } ], [ { "head": [ "152", "153", "GPE", "Scotland" ], "tail": [ "173", "174", "PERSON", "Nadina" ] } ], [ { "head": [ "152", "153", "GPE", "Scotland" ], "tail": [ "178", "179", "ORG", "FAS" ] } ], [ { "head": [ "152", "153", "GPE", "Scotland" ], "tail": [ "186", "187", "ORG", "Qld" ] } ], [ { "head": [ "152", "153", "GPE", "Scotland" ], "tail": [ "197", "198", "PERSON", "Alan" ] } ], [ { "head": [ "152", "153", "GPE", "Scotland" ], "tail": [ "199", "202", "DATE", "03 December 2020" ] } ], [ { "head": [ "167", "168", "PERSON", "MRS" ], "tail": [ "8", "12", "PRODUCT", "Taste for the Exotic" ] } ], [ { "head": [ "167", "168", "PERSON", "MRS" ], "tail": [ "50", "52", "PRODUCT", "Tim Tams" ] } ], [ { "head": [ "167", "168", "PERSON", "MRS" ], "tail": [ "99", "103", "ORG", "Taste For The Exotic" ] } ], [ { "head": [ "167", "168", "PERSON", "MRS" ], "tail": [ "123", "124", "PERSON", "Kristen" ] } ], [ { "head": [ "167", "168", "PERSON", "MRS" ], "tail": [ "125", "128", "DATE", "30 May 2023" ] } ], [ { "head": [ "167", "168", "PERSON", "MRS" ], "tail": [ "152", "153", "GPE", "Scotland" ] } ], [ { "head": [ "167", "168", "PERSON", "MRS" ], "tail": [ "169", "172", "DATE", "20 March 2021" ] } ], [ { "head": [ "167", "168", "PERSON", "MRS" ], "tail": [ "173", "174", "PERSON", "Nadina" ] } ], [ { "head": [ "167", "168", "PERSON", "MRS" ], "tail": [ "178", "179", "ORG", "FAS" ] } ], [ { "head": [ "167", "168", "PERSON", "MRS" ], "tail": [ "186", "187", "ORG", "Qld" ] } ], [ { "head": [ "167", "168", "PERSON", "MRS" ], "tail": [ "197", "198", "PERSON", "Alan" ] } ], [ { "head": [ "167", "168", "PERSON", "MRS" ], "tail": [ "199", "202", "DATE", "03 December 2020" ] } ], [ { "head": [ "169", "172", "DATE", "20 March 2021" ], "tail": [ "99", "103", "ORG", "Taste For The Exotic" ] } ], [ { "head": [ "169", "172", "DATE", "20 March 2021" ], "tail": [ "123", "124", "PERSON", "Kristen" ] } ], [ { "head": [ "169", "172", "DATE", "20 March 2021" ], "tail": [ "152", "153", "GPE", "Scotland" ] } ], [ { "head": [ "169", "172", "DATE", "20 March 2021" ], "tail": [ "167", "168", "PERSON", "MRS" ] } ], [ { "head": [ "169", "172", "DATE", "20 March 2021" ], "tail": [ "173", "174", "PERSON", "Nadina" ] } ], [ { "head": [ "169", "172", "DATE", "20 March 2021" ], "tail": [ "178", "179", "ORG", "FAS" ] } ], [ { "head": [ "169", "172", "DATE", "20 March 2021" ], "tail": [ "186", "187", "ORG", "Qld" ] } ], [ { "head": [ "169", "172", "DATE", "20 March 2021" ], "tail": [ "197", "198", "PERSON", "Alan" ] } ], [ { "head": [ "173", "174", "PERSON", "Nadina" ], "tail": [ "8", "12", "PRODUCT", "Taste for the Exotic" ] } ], [ { "head": [ "173", "174", "PERSON", "Nadina" ], "tail": [ "50", "52", "PRODUCT", "Tim Tams" ] } ], [ { "head": [ "173", "174", "PERSON", "Nadina" ], "tail": [ "99", "103", "ORG", "Taste For The Exotic" ] } ], [ { "head": [ "173", "174", "PERSON", "Nadina" ], "tail": [ "123", "124", "PERSON", "Kristen" ] } ], [ { "head": [ "173", "174", "PERSON", "Nadina" ], "tail": [ "125", "128", "DATE", "30 May 2023" ] } ], [ { "head": [ "173", "174", "PERSON", "Nadina" ], "tail": [ "152", "153", "GPE", "Scotland" ] } ], [ { "head": [ "173", "174", "PERSON", "Nadina" ], "tail": [ "167", "168", "PERSON", "MRS" ] } ], [ { "head": [ "173", "174", "PERSON", "Nadina" ], "tail": [ "169", "172", "DATE", "20 March 2021" ] } ], [ { "head": [ "173", "174", "PERSON", "Nadina" ], "tail": [ "178", "179", "ORG", "FAS" ] } ], [ { "head": [ "173", "174", "PERSON", "Nadina" ], "tail": [ "186", "187", "ORG", "Qld" ] } ], [ { "head": [ "173", "174", "PERSON", "Nadina" ], "tail": [ "197", "198", "PERSON", "Alan" ] } ], [ { "head": [ "173", "174", "PERSON", "Nadina" ], "tail": [ "199", "202", "DATE", "03 December 2020" ] } ], [ { "head": [ "178", "179", "ORG", "FAS" ], "tail": [ "8", "12", "PRODUCT", "Taste for the Exotic" ] } ], [ { "head": [ "178", "179", "ORG", "FAS" ], "tail": [ "50", "52", "PRODUCT", "Tim Tams" ] } ], [ { "head": [ "178", "179", "ORG", "FAS" ], "tail": [ "99", "103", "ORG", "Taste For The Exotic" ] } ], [ { "head": [ "178", "179", "ORG", "FAS" ], "tail": [ "123", "124", "PERSON", "Kristen" ] } ], [ { "head": [ "178", "179", "ORG", "FAS" ], "tail": [ "125", "128", "DATE", "30 May 2023" ] } ], [ { "head": [ "178", "179", "ORG", "FAS" ], "tail": [ "152", "153", "GPE", "Scotland" ] } ], [ { "head": [ "178", "179", "ORG", "FAS" ], "tail": [ "167", "168", "PERSON", "MRS" ] } ], [ { "head": [ "178", "179", "ORG", "FAS" ], "tail": [ "169", "172", "DATE", "20 March 2021" ] } ], [ { "head": [ "178", "179", "ORG", "FAS" ], "tail": [ "173", "174", "PERSON", "Nadina" ] } ], [ { "head": [ "178", "179", "ORG", "FAS" ], "tail": [ "186", "187", "ORG", "Qld" ] } ], [ { "head": [ "178", "179", "ORG", "FAS" ], "tail": [ "197", "198", "PERSON", "Alan" ] } ], [ { "head": [ "178", "179", "ORG", "FAS" ], "tail": [ "199", "202", "DATE", "03 December 2020" ] } ], [ { "head": [ "186", "187", "ORG", "Qld" ], "tail": [ "8", "12", "PRODUCT", "Taste for the Exotic" ] } ], [ { "head": [ "186", "187", "ORG", "Qld" ], "tail": [ "50", "52", "PRODUCT", "Tim Tams" ] } ], [ { "head": [ "186", "187", "ORG", "Qld" ], "tail": [ "99", "103", "ORG", "Taste For The Exotic" ] } ], [ { "head": [ "186", "187", "ORG", "Qld" ], "tail": [ "123", "124", "PERSON", "Kristen" ] } ], [ { "head": [ "186", "187", "ORG", "Qld" ], "tail": [ "125", "128", "DATE", "30 May 2023" ] } ], [ { "head": [ "186", "187", "ORG", "Qld" ], "tail": [ "152", "153", "GPE", "Scotland" ] } ], [ { "head": [ "186", "187", "ORG", "Qld" ], "tail": [ "167", "168", "PERSON", "MRS" ] } ], [ { "head": [ "186", "187", "ORG", "Qld" ], "tail": [ "169", "172", "DATE", "20 March 2021" ] } ], [ { "head": [ "186", "187", "ORG", "Qld" ], "tail": [ "173", "174", "PERSON", "Nadina" ] } ], [ { "head": [ "186", "187", "ORG", "Qld" ], "tail": [ "178", "179", "ORG", "FAS" ] } ], [ { "head": [ "186", "187", "ORG", "Qld" ], "tail": [ "197", "198", "PERSON", "Alan" ] } ], [ { "head": [ "186", "187", "ORG", "Qld" ], "tail": [ "199", "202", "DATE", "03 December 2020" ] } ], [ { "head": [ "197", "198", "PERSON", "Alan" ], "tail": [ "8", "12", "PRODUCT", "Taste for the Exotic" ] } ], [ { "head": [ "197", "198", "PERSON", "Alan" ], "tail": [ "50", "52", "PRODUCT", "Tim Tams" ] } ], [ { "head": [ "197", "198", "PERSON", "Alan" ], "tail": [ "99", "103", "ORG", "Taste For The Exotic" ] } ], [ { "head": [ "197", "198", "PERSON", "Alan" ], "tail": [ "123", "124", "PERSON", "Kristen" ] } ], [ { "head": [ "197", "198", "PERSON", "Alan" ], "tail": [ "125", "128", "DATE", "30 May 2023" ] } ], [ { "head": [ "197", "198", "PERSON", "Alan" ], "tail": [ "152", "153", "GPE", "Scotland" ] } ], [ { "head": [ "197", "198", "PERSON", "Alan" ], "tail": [ "167", "168", "PERSON", "MRS" ] } ], [ { "head": [ "197", "198", "PERSON", "Alan" ], "tail": [ "169", "172", "DATE", "20 March 2021" ] } ], [ { "head": [ "197", "198", "PERSON", "Alan" ], "tail": [ "173", "174", "PERSON", "Nadina" ] } ], [ { "head": [ "197", "198", "PERSON", "Alan" ], "tail": [ "178", "179", "ORG", "FAS" ] } ], [ { "head": [ "197", "198", "PERSON", "Alan" ], "tail": [ "186", "187", "ORG", "Qld" ] } ], [ { "head": [ "197", "198", "PERSON", "Alan" ], "tail": [ "199", "202", "DATE", "03 December 2020" ] } ], [ { "head": [ "199", "202", "DATE", "03 December 2020" ], "tail": [ "99", "103", "ORG", "Taste For The Exotic" ] } ], [ { "head": [ "199", "202", "DATE", "03 December 2020" ], "tail": [ "123", "124", "PERSON", "Kristen" ] } ], [ { "head": [ "199", "202", "DATE", "03 December 2020" ], "tail": [ "152", "153", "GPE", "Scotland" ] } ], [ { "head": [ "199", "202", "DATE", "03 December 2020" ], "tail": [ "167", "168", "PERSON", "MRS" ] } ], [ { "head": [ "199", "202", "DATE", "03 December 2020" ], "tail": [ "173", "174", "PERSON", "Nadina" ] } ], [ { "head": [ "199", "202", "DATE", "03 December 2020" ], "tail": [ "178", "179", "ORG", "FAS" ] } ], [ { "head": [ "199", "202", "DATE", "03 December 2020" ], "tail": [ "186", "187", "ORG", "Qld" ] } ], [ { "head": [ "199", "202", "DATE", "03 December 2020" ], "tail": [ "197", "198", "PERSON", "Alan" ] } ] ]
[ " SELF_REFERENCE", " BOUGHT", " ORIGINATED_FROM", " RECIPIENT_OF", " SOLD_BY", " SOLD_BY", " ORIGINATED_FROM", " BOUGHT", " PRODUCT_OF\n\n Explanation:\n The text describes that 'Tim", " BOUGHT", " ORDERED_FROM", " RECIPIENT_OF", " SOLD_BY", " SOLD_BY", " ORDERED_FROM", " BOUGHT", " PRODUCT_OF\n\n Explanation:\n The text describes how Taste", " INCLUDES", " BOUGHT\n\n Explanation:\n The text states that \"Customers", " RECIPIENT_OF_REVIEW", " ORIGINATED_FROM", " CUSTOMER_OF", " CUSTOMER_REVIEWED\n OR\n RECENTLY_BO", " SOLD_BY", " SOLD_BY", " ORIGINATED_FROM", " CUSTOMER_OF", " CUSTOMER_OF", " BOUGHT", " BOUGHT", " BOUGHT_FROM", " ORDERED_ON_DATE", " ORDERED_FROM", " BUYER_RECIPEIENT", " ORDERED_ON_DATE", " ORDERED_FROM", " ORDERED_FROM", " ORDERED_FROM", " NO_RELATION", " ORDERED_FROM", " BOUGHT_FROM", " CUSTOMER_REVIEWED_PRODUCT", " ORIGINATED_FROM", " RECIPIENT_OF_THANKS", " CUSTOMER_OF", " CUSTOMER_OF", " ORDERED_FROM", " ORDERED_FROM", " ORIGIN_FROM", " ORDERED_FROM", " ORDERED_FROM", " ORDERED_FROM", " ORIGINATED_FROM", " ORDERED_FROM", " ORIGINATED_FROM", " ORDERED_FROM", " ORDERED_FROM", " LOCATION_IN_REGION", " ORDERED_FROM", " ORIGINATED_FROM", " BOUGHT", " BOUGHT", " BOUGHT_FROM", " RECIPIENT_OF\n\n Explanation:\n The text describes that", " RECIPIENT_OF\n\n Explanation:\n The text describes that", " ORIGINATED_FROM", " ORDERED_ON", " ORDERED_FROM", " ORDERED_FROM", " ORDERED_FROM", " ORDERED_FROM", " ORDERED_FROM", " BOUGHT_FROM", " BOUGHT_FROM\n\n Explanation:\n The text mentions that", " ORIGINATED_FROM", " ORDERED_FROM", " ORDERED_FROM", " ORDERED_FROM", " ORDERED_FROM", " ORDERED_FROM", " SOLD_PRODUCT_BY_PERSON", " ORDERED", " ORDERED_FROM", " CUSTOMER_OF", " ORDERED_ON_DATE", " ORDERED_FROM", " ORDERED_FROM", " ORDERED_ON_DATE", " ORDERED_FROM", " ORDERED_FROM", " ORDERED_FROM", " ORDERED_FROM", " SELLER_OF\n or\n PROVIDES\n or\n OFFERS", " SELLER_OF\n\n Explanation:\n The text mentions that", " SELLER_OF\n # or\n # PROVIDES_SERVICE_FOR\n", " CUSTOMER_OF", " CUSTOMER_REVIEWED\n OR\n RECENTLY_BO", " ORIGIN_FROM", " ORDERED_FROM", " CUSTOMER_REVIEWED\n OR\n REVIEWED_CUST", " SOLD_BY", " LOCATION_IN_ORGANIZATION", " ORDERED_FROM", " ORDERED_FROM", " ORIGIN_FROM", " ORIGIN_FROM", " ORDERED_FROM", " ORDERED_FROM", " ORDERED_FROM", " ORIGIN_FROM", " ORDERED_FROM", " ORDERED_FROM", " ORDERED_FROM", " ORDERED_FROM", " ORDERED_FROM", " ORDERED_FROM", " BOUGHT", " BOUGHT", " BOUGHT_FROM", " ORDERED_FROM", " ORDERED_ON_DATE", " ORIGIN_FROM", " ORDERED_FROM", " ORDERED_ON", " ORDERED_FROM", " ORDERED_FROM", " ORDERED_FROM", " ORDERED_ON", " ORDERED_FROM", " ORDERED_FROM", " ORIGINATED_FROM", " ORDERED_FROM", " ORDERED_FROM", " ORDERED_FROM", " ORDERED_FROM", " ORDERED_FROM" ]
[ [ "8", "12", "PRODUCT", "Taste for the Exotic" ], [ "50", "52", "PRODUCT", "Tim Tams" ], [ "99", "103", "ORG", "Taste For The Exotic" ], [ "123", "124", "PERSON", "Kristen" ], [ "125", "128", "DATE", "30 May 2023" ], [ "152", "153", "GPE", "Scotland" ], [ "167", "168", "PERSON", "MRS" ], [ "169", "172", "DATE", "20 March 2021" ], [ "173", "174", "PERSON", "Nadina" ], [ "178", "179", "ORG", "FAS" ], [ "186", "187", "ORG", "Qld" ], [ "197", "198", "PERSON", "Alan" ], [ "199", "202", "DATE", "03 December 2020" ] ]
32,892
32,894
[ "MINNEAPOLIS — General Mills, Inc. is moving the Pillsbury brand into the cookie aisle for the first time with a new line of ready-to-eat Soft Baked Cookies.\nMade with a blend of butter and shortening for a soft texture, the treats come in four homemade-inspired flavors: chocolate chip, confetti, sugar with drizzled icing, and peanut butter with chocolatey drizzle.\nThe chocolate chip cookies contain 140 calories and 12 grams of sugar per two-cookie serving, the confetti cookies contain 130 calories and 11 grams of sugar, the sugar with drizzled icing cookies contain 140 calories and 12 grams of sugar, and the peanut butter with chocolatey drizzle cookies contain 150 calories and 14 grams of sugar per serving.\n“Pillsbury is a beloved baking brand that has been around for more than 100 years, but its products have never been in the cookie aisle until now,” said Jeff Caswell, president of General Mills’ Snacks Division. “While our fans love baking Pillsbury products in the oven, our consumer research indicates there are times that a ready-to-eat cookie is preferred. We focused on launching Pillsbury Soft Baked Cookies for that quick treat, knowing there is not always time for baking.”\nPillsbury Soft Baked Cookies are available at Walmart stores beginning this month and at other retailers nationwide starting in April. Each package of 18 snack-sized cookies retails for $3.69." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['MINNEAPOLIS — General Mills, Inc. is moving the Pillsbury brand into the cookie aisle for the first time with a new line of ready-to-eat Soft Baked Cookies.\nMade with a blend of butter and shortening for a soft texture, the treats come in four homemade-inspired flavors: chocolate chip, confetti, sugar with drizzled icing, and peanut butter with chocolatey drizzle.\nThe chocolate chip cookies contain 140 calories and 12 grams of sugar per two-cookie serving, the confetti cookies contain 130 calories and 11 grams of sugar, the sugar with drizzled icing cookies contain 140 calories and 12 grams of sugar, and the peanut butter with chocolatey drizzle cookies contain 150 calories and 14 grams of sugar per serving.\n“Pillsbury is a beloved baking brand that has been around for more than 100 years, but its products have never been in the cookie aisle until now,” said Jeff Caswell, president of General Mills’ Snacks Division. “While our fans love baking Pillsbury products in the oven, our consumer research indicates there are times that a ready-to-eat cookie is preferred. We focused on launching Pillsbury Soft Baked Cookies for that quick treat, knowing there is not always time for baking.”\nPillsbury Soft Baked Cookies are available at Walmart stores beginning this month and at other retailers nationwide starting in April. Each package of 18 snack-sized cookies retails for $3.69.'] Entities: [{'head': ['0', '1', 'GPE', 'MINNEAPOLIS'], 'tail': ['2', '6', 'ORG', 'General Mills, Inc.']}] Relation:
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"Pillsbury Soft Baked Cookies" ], "tail": [ "177", "180", "ORG", "General Mills’" ] } ], [ { "head": [ "217", "221", "PRODUCT", "Pillsbury Soft Baked Cookies" ], "tail": [ "180", "182", "ORG", "Snacks Division" ] } ], [ { "head": [ "217", "221", "PRODUCT", "Pillsbury Soft Baked Cookies" ], "tail": [ "189", "190", "ORG", "Pillsbury" ] } ], [ { "head": [ "217", "221", "PRODUCT", "Pillsbury Soft Baked Cookies" ], "tail": [ "244", "245", "ORG", "Walmart" ] } ], [ { "head": [ "237", "241", "PRODUCT", "Pillsbury Soft Baked Cookies" ], "tail": [ "0", "1", "GPE", "MINNEAPOLIS" ] } ], [ { "head": [ "237", "241", "PRODUCT", "Pillsbury Soft Baked Cookies" ], "tail": [ "2", "6", "ORG", "General Mills, Inc." ] } ], [ { "head": [ "237", "241", "PRODUCT", "Pillsbury Soft Baked Cookies" ], "tail": [ "9", "10", "ORG", "Pillsbury" ] } ], [ { "head": [ "237", "241", "PRODUCT", "Pillsbury Soft Baked Cookies" ], "tail": [ "141", "142", "ORG", "Pillsbury" ] } ], [ { "head": [ "237", "241", "PRODUCT", "Pillsbury Soft Baked Cookies" ], "tail": [ "172", "174", "PERSON", "Jeff Caswell" ] } ], [ { "head": [ "237", "241", "PRODUCT", "Pillsbury Soft Baked Cookies" ], "tail": [ "177", "180", "ORG", "General Mills’" ] } ], [ { "head": [ "237", "241", "PRODUCT", "Pillsbury Soft Baked Cookies" ], "tail": [ "180", "182", "ORG", "Snacks Division" ] } ], [ { "head": [ "237", "241", "PRODUCT", "Pillsbury Soft Baked Cookies" ], "tail": [ "189", "190", "ORG", "Pillsbury" ] } ], [ { "head": [ "237", "241", "PRODUCT", "Pillsbury Soft Baked Cookies" ], "tail": [ "244", "245", "ORG", "Walmart" ] } ], [ { "head": [ "244", "245", "ORG", "Walmart" ], "tail": [ "0", "1", "GPE", "MINNEAPOLIS" ] } ], [ { "head": [ "244", "245", "ORG", "Walmart" ], "tail": [ "2", "6", "ORG", "General Mills, Inc." ] } ], [ { "head": [ "244", "245", "ORG", "Walmart" ], "tail": [ "9", "10", "ORG", "Pillsbury" ] } ], [ { "head": [ "244", "245", "ORG", "Walmart" ], "tail": [ "17", "18", "ORDINAL", "first" ] } ], [ { "head": [ "244", "245", "ORG", "Walmart" ], "tail": [ "29", "32", "PRODUCT", "Soft Baked Cookies" ] } ], [ { "head": [ "244", "245", "ORG", "Walmart" ], "tail": [ "51", "52", "CARDINAL", "four" ] } ], [ { "head": [ "244", "245", "ORG", "Walmart" ], "tail": [ "80", "81", "CARDINAL", "140" ] } ], [ { "head": [ "244", "245", "ORG", "Walmart" ], "tail": [ "83", "85", "QUANTITY", "12 grams" ] } ], [ { "head": [ "244", "245", "ORG", "Walmart" ], "tail": [ "88", "89", "CARDINAL", "two" ] } ], [ { "head": [ "244", "245", "ORG", "Walmart" ], "tail": [ "97", "99", "QUANTITY", "130 calories" ] } ], [ { "head": [ "244", "245", "ORG", "Walmart" ], "tail": [ "100", "102", "QUANTITY", "11 grams" ] } ], [ { "head": [ "244", "245", "ORG", "Walmart" ], "tail": [ "112", "114", "QUANTITY", "140 calories" ] } ], [ { "head": [ "244", "245", "ORG", "Walmart" ], "tail": [ "115", "117", "QUANTITY", "12 grams" ] } ], [ { "head": [ "244", "245", "ORG", "Walmart" ], "tail": [ "129", "131", "QUANTITY", "150 calories" ] } ], [ { "head": [ "244", "245", "ORG", "Walmart" ], "tail": [ "132", "134", "QUANTITY", "14 grams" ] } ], [ { "head": [ "244", "245", "ORG", "Walmart" ], "tail": [ "141", "142", "ORG", "Pillsbury" ] } ], [ { "head": [ "244", "245", "ORG", "Walmart" ], "tail": [ "152", "156", "DATE", "more than 100 years" ] } ], [ { "head": [ "244", "245", "ORG", "Walmart" ], "tail": [ "172", "174", "PERSON", "Jeff Caswell" ] } ], [ { "head": [ "244", "245", "ORG", "Walmart" ], "tail": [ "177", "180", "ORG", "General Mills’" ] } ], [ { "head": [ "244", "245", "ORG", "Walmart" ], "tail": [ "180", "182", "ORG", "Snacks Division" ] } ], [ { "head": [ "244", "245", "ORG", "Walmart" ], "tail": [ "189", "190", "ORG", "Pillsbury" ] } ], [ { "head": [ "244", "245", "ORG", "Walmart" ], "tail": [ "217", "221", "PRODUCT", "Pillsbury Soft Baked Cookies" ] } ], [ { "head": [ "244", "245", "ORG", "Walmart" ], "tail": [ "237", "241", "PRODUCT", "Pillsbury Soft Baked Cookies" ] } ], [ { "head": [ "244", "245", "ORG", "Walmart" ], "tail": [ "247", "249", "DATE", "this month" ] } ], [ { "head": [ "244", "245", "ORG", "Walmart" ], "tail": [ "256", "257", "DATE", "April" ] } ], [ { "head": [ "244", "245", "ORG", "Walmart" ], "tail": [ "261", "262", "CARDINAL", "18" ] } ], [ { "head": [ "244", "245", "ORG", "Walmart" ], "tail": [ "269", "270", "MONEY", "3.69" ] } ], [ { "head": [ "247", "249", "DATE", "this month" ], "tail": [ "0", "1", "GPE", "MINNEAPOLIS" ] } ], [ { "head": [ "247", "249", "DATE", "this month" ], "tail": [ "2", "6", "ORG", "General Mills, Inc." ] } ], [ { "head": [ "247", "249", "DATE", "this month" ], "tail": [ "9", "10", "ORG", "Pillsbury" ] } ], [ { "head": [ "247", "249", "DATE", "this month" ], "tail": [ "141", "142", "ORG", "Pillsbury" ] } ], [ { "head": [ "247", "249", "DATE", "this month" ], "tail": [ "172", "174", "PERSON", "Jeff Caswell" ] } ], [ { "head": [ "247", "249", "DATE", "this month" ], "tail": [ "177", "180", "ORG", "General Mills’" ] } ], [ { "head": [ "247", "249", "DATE", "this month" ], "tail": [ "180", "182", "ORG", "Snacks Division" ] } ], [ { "head": [ "247", "249", "DATE", "this month" ], "tail": [ "189", "190", "ORG", "Pillsbury" ] } ], [ { "head": [ "247", "249", "DATE", "this month" ], "tail": [ "244", "245", "ORG", "Walmart" ] } ], [ { "head": [ "256", "257", "DATE", "April" ], "tail": [ "0", "1", "GPE", "MINNEAPOLIS" ] } ], [ { "head": [ "256", "257", "DATE", "April" ], "tail": [ "2", "6", "ORG", "General Mills, Inc." ] } ], [ { "head": [ "256", "257", "DATE", "April" ], "tail": [ "9", "10", "ORG", "Pillsbury" ] } ], [ { "head": [ "256", "257", "DATE", "April" ], "tail": [ "141", "142", "ORG", "Pillsbury" ] } ], [ { "head": [ "256", "257", "DATE", "April" ], "tail": [ "172", "174", "PERSON", "Jeff Caswell" ] } ], [ { "head": [ "256", "257", "DATE", "April" ], "tail": [ "177", "180", "ORG", "General Mills’" ] } ], [ { "head": [ "256", "257", "DATE", "April" ], "tail": [ "180", "182", "ORG", "Snacks Division" ] } ], [ { "head": [ "256", "257", "DATE", "April" ], "tail": [ "189", "190", "ORG", "Pillsbury" ] } ], [ { "head": [ "256", "257", "DATE", "April" ], "tail": [ "244", "245", "ORG", "Walmart" ] } ], [ { "head": [ "261", "262", "CARDINAL", "18" ], "tail": [ "0", "1", "GPE", "MINNEAPOLIS" ] } ], [ { "head": [ "261", "262", "CARDINAL", "18" ], "tail": [ "2", "6", "ORG", "General Mills, Inc." ] } ], [ { "head": [ "261", "262", "CARDINAL", "18" ], "tail": [ "9", "10", "ORG", "Pillsbury" ] } ], [ { "head": [ "261", "262", "CARDINAL", "18" ], "tail": [ "141", "142", "ORG", "Pillsbury" ] } ], [ { "head": [ "261", "262", "CARDINAL", "18" ], "tail": [ "172", "174", "PERSON", "Jeff Caswell" ] } ], [ { "head": [ "261", "262", "CARDINAL", "18" ], "tail": [ "177", "180", "ORG", "General Mills’" ] } ], [ { "head": [ "261", "262", "CARDINAL", "18" ], "tail": [ "180", "182", "ORG", "Snacks Division" ] } ], [ { "head": [ "261", "262", "CARDINAL", "18" ], "tail": [ "189", "190", "ORG", "Pillsbury" ] } ], [ { "head": [ "261", "262", "CARDINAL", "18" ], "tail": [ "244", "245", "ORG", "Walmart" ] } ], [ { "head": [ "269", "270", "MONEY", "3.69" ], "tail": [ "0", "1", "GPE", "MINNEAPOLIS" ] } ], [ { "head": [ "269", "270", "MONEY", "3.69" ], "tail": [ "2", "6", "ORG", "General Mills, Inc." ] } ], [ { "head": [ "269", "270", "MONEY", "3.69" ], "tail": [ "9", "10", "ORG", "Pillsbury" ] } ], [ { "head": [ "269", "270", "MONEY", "3.69" ], "tail": [ "141", "142", "ORG", "Pillsbury" ] } ], [ { "head": [ "269", "270", "MONEY", "3.69" ], "tail": [ "172", "174", "PERSON", "Jeff Caswell" ] } ], [ { "head": [ "269", "270", "MONEY", "3.69" ], "tail": [ "177", "180", "ORG", "General Mills’" ] } ], [ { "head": [ "269", "270", "MONEY", "3.69" ], "tail": [ "180", "182", "ORG", "Snacks Division" ] } ], [ { "head": [ "269", "270", "MONEY", "3.69" ], "tail": [ "189", "190", "ORG", "Pillsbury" ] } ], [ { "head": [ "269", "270", "MONEY", "3.69" ], "tail": [ "244", "245", "ORG", "Walmart" ] } ] ]
[ " LOCATED_IN", " LOCATED_IN", " LOCATION_BEFORE\n\n Entities: \n [{'head':", " LOCATED_IN", " LOCATION_OF\n\n Entities: \n [{'head': ['", " LOCATION_OF\n\n Entities: \n [{'head': ['", " SUGAR_CONTENT_OF", " LOCATION_QUANTITY", " HAS_CALORIES_AMOUNT", " SUGAR_CONTENT_OF\n\n Explanation:\n The text", " CALORIES_OF", " SUGAR_CONTENT_OF", " HAS_CALORIES", " SUGAR_CONTENT_OF", " LOCATED_IN", " BACKGROUND_INFO", " LOCATION_OF\n OR\n SPEAKER\n OR\n NO", " LOCATED_IN", " LOCATION_OF\n\n Explanation:\n The text states that \"", " LOCATED_IN", " LOCATED_IN", " LOCATED_IN", " AVAILABLE_AT", " AVAILABLE_AT_TIME", " AVAILABLE_AT", " AVAILABLE_AT", " PRICE_OF_PRODUCT", " LOCATED_IN", " OWNER", " MOVED_INTO\n\n Entities: \n [{'head': ['", " MANUFACTURER", " PRODUCES", " PRODUCES_COOKIES_WITH_CALORIES", " SUGAR_CONTENT", " PRICE_PER_UNIT", " CONTAINS\n\n Entities: \n [{'head': ['2',", " FOOD_PRODUCT_HAS_NUTRITION_CONTENT", " CONTAINS_CALORIES", " SUGAR_CONTENT\n\n Explanation:\n The text states that", " HAS_CALORIES", " SUGAR_CONTENT\n\n Explanation:\n The text mentions", " OWNER", " HAS_HISTORY", " SPOKE_FOR", " SAME_ORGANIZATION", " DIVISION_OF", " PRODUCES", " MANUFACTURER", " MANUFACTURER", " SELLER_OF\n # or\n # DISTRIBUTED_BY\n", " AVAILABLE_AT_TIME", " AVAILABLE_AT", " SELLS\n\n Entities: \n [{'head': ['2',", " PRICE_OF_PRODUCT", " LOCATED_IN", " BELONGS_TO", " MOVED_INTO\n\n Explanation:\n The text states that \"", " BRAND_OF\n ORGANIZATION_PRODUCES\n ", " FLAVORS_OF", " CALORIES_PER_SERVING_OF_COOKIES_FOR_", " SUGAR_CONTENT", " PER_ITEM_CALORIES", " HAS_CALORIES", " SUGAR_CONTENT", " HAS_CALORIES", " SUGAR_CONTENT", " HAS_CALORIES", " SUGAR_CONTENT\n\n Entities: \n [{'head':", " SAME_ENTITY", " HAS_BACKSTORY", " SPOKESPERSON", " BRAND_OF\n ORGANIZATION_TYPE_OF\n OR", " BELONGS_TO", " SAME_ENTITY", " ORG_PRODUCES", " ORG_PRODUCES", " SOLD_AT", " AVAILABLE_FROM", " AVAILABLE_AT", " PRODUCT_QUANTITY", " PRICE", " LOCATION_OF\n\n Entities: \n [{'head': ['", " MOVED_PRODUCT_INTO\n\n Explanation:\n The text", " MOVED_INTO\n\n Explanation:\n The text states that \"", " MOVED_INTO\n\n Explanation:\n The text states that \"", " SPOKE_FOR", " MOVED_PRODUCT_INTO\n\n Entities: \n [{'", " PRODUCES", " MOVED_INTO\n\n Explanation:\n The text states that \"", " AVAILABLE_AT", " LOCATED_IN", " MANUFACTURER", " BRAND_OF\n # This model is a relation extraction model that only outputs", " BRAND_OF\n # This model is a relation extraction model that only outputs", " SPOKESPERSON", " MANUFACTURER", " PRODUCED_BY", " BRAND_OF\n # This model is a relation extraction model that only outputs", " SOLD_AT", " LOCATION_OF\n\n Entities: \n [{'head': ['", " PRODUCES", " FLAVORS_OF", " FLAVORS_OF", " SPOKE_FOR", " PRODUCES", " PRODUCES", " FLAVORS_OF", " AVAILABLE_AT", " LOCATED_IN", " PRODUCES", " CALORIES_PER_SERVING_OF_COOKIES_HAS_", " CALORIES_PER_SERVING_OF_COOKIES_FOR_", " SPOKE_PERSON", " PRODUCES", " PRICE_OF\n\n Entities: \n [{'head': ['8", " PER_ITEM_CALORIES", " AVAILABLE_AT", " LOCATION_OF_PRODUCTION", " PRODUCES", " SUGAR_CONTENT_OF", " SUGAR_CONTENT_OF", " SPEAKS_FOR", " PRODUCES", " PRODUCES", " SUGAR_CONTENT_OF", " SOLD_AT", " LOCATION.IN.CITY", " PRODUCES", " SERVING_SIZE", " SERVING_SIZE", " SAID", " PRODUCES", " PRODUCES", " SERVING_SIZE", " AVAILABLE_AT", " LOCATION.LOCATED_AT.FOOD_PRODUCT.HAS_NUT", " PRODUCES", " HAS_CALORIES", " PRODUCES_FOOD_WITH_CALORIES", " SPEAKS_FOR.", " PRODUCES", " PRODUCES", " PRODUCES_FOOD_WITH_CALORIES", " AVAILABLE_AT", " LOCATION_OF_PRODUCTION", " PRODUCES_WITH_QUANTITY", " PRODUCES_WITH_QUANTITY", " PRODUCES_WITH_QUANTITY", " SPEAKS_FOR", " PRODUCES_WITH_QUANTITY", " PRODUCES", " PRODUCES_WITH_QUANTITY", " AVAILABLE_AT", " LOCATION.OF.PRODUCTION.PLACE.FOR.ENTITY.FO", " PRODUCES", " HAS_CALORIES", " HAS_CALORIES", " SPEAKS_FOR.", " PRODUCES", " PRODUCES", " HAS_CALORIES", " AVAILABLE_AT", " LOCATION_OF_PRODUCTION", " PRODUCES_SUGAR", " SUGAR_CONTENT_OF", " SUGAR_CONTENT_OF", " SPEAKS_FOR", " PRODUCES_SUGAR_CONTENT_FOR", " PRODUCES", " SUGAR_CONTENT_OF", " PRICE_AT\n\n Explanation:\n The text states that the cookies", " LOCATION.OF.PRODUCTION.PLACE.FOR.ENTITY.FO", " PRODUCES", " PRODUCES", " PRODUCES", " SPEAKS_FOR.", " PRODUCES", " PRODUCES", " PRODUCES", " PRICE_AT\n\n Explanation:\n The text states that \"P", " LOCATION_OF_PRODUCTION", " PRODUCES", " HAS_SUGAR_CONTENT", " PRODUCES_SUGAR_CONTENT_FOR\n\n Explanation", " SPEAKS_FOR", " PRODUCES", " PRODUCES", " PRODUCES_SUGAR_CONTENT_WITH\n\n Explanation", " SOLD_AT", " LOCATED_IN", " BRAND_OF\n\n Explanation:\n The text states that \"", " SAME_ORGANIZATION", " MOVED_INTO\n\n Explanation:\n The text states that \"", " BRAND_OF\n ORGANIZATION_PRODUCES\n ", " FLAVORS_OF", " PER_CALORIE_CONTAINS", " SUGAR_CONTENT", " PER_ITEM_CALORIES", " HAS_CALORIES", " SUGAR_CONTENT_OF\n\n Or, if you prefer, you can", " HAS_CALORIES", " SUGAR_CONTENT", " HAS_CALORIES", " SUGAR_CONTENT\n\n Explanation:\n The text mentions", " HAS_BACKGROUND", " SPOKE_FOR", " BRAND_OF\n ORGANIZATION\n ORGANIZATION", " BELONGS_TO", " SAME_ORGANIZATION", " ORG_PRODUCES", " ORG_PRODUCES", " SOLD_AT", " AVAILABLE_FROM", " AVAILABLE_AT", " PRODUCT_QUANTITY", " PRICE", " BACKGROUND_INFO", " HAS_HISTORY", " HAS_BACKGROUND", " HAS_BACKGROUND", " BELONGS_TO", " HAS_HISTORY", " HAS_BEEN_AROUND_FOR\n OR HAD_EXIST", " HAS_HISTORY", " AVAILABLE_AT", " LOCATION_OF\n\n Entities: \n [{'head': ['", " PRESIDENT_OF", " PRESIDENT_OF", " SAID_ABOUT\n\n Explanation:\n Jeff Caswell said that", " SPOKESPERSON", " SAID_ABOUT\n\n Explanation:\n Jeff Caswell said that", " CONTAINS\n\n Entities: \n [{'head': ['80", " SPOKE_OF\n\n Explanation:\n Jeff Caswell spoke of", " SAID_ABOUT\n\n Explanation:\n Jeff Caswell said that", " CONTAINS_CALORIES_FOR_ENTITY", " CONSUMPTION_QUANTITY_OF\n or\n CONSUMED_", " HAS_CALORIES", " SPOKE_OF\n\n Explanation:\n In the text, Jeff", " HAS_CALORIES", " SPOKE_OF \n\n Explanation:\n Jeff Caswell spoke", " PRESIDENT_OF", " HAS_BEEN_AROUND_FOR\n\n Or\n\n [", " PRESIDENT_OF", " PRESIDENT_OF", " PRESIDENT_OF", " SPOKESPERSON", " SPOKESPERSON", " AVAILABLE_AT", " AVAILABLE_FROM", " AVAILABLE_AT", " PRICE_PER_ITEM", " PRICE_OF_GOOD_OR_SERVICE", " LOCATED_IN", " IDENTICAL", " OWNER", " MOVED_FIRST_TIME_INTO", " MANUFACTURER", " PRODUCES", " PRODUCES_WITH_CALORIES", " SUGAR_CONTENT\n\n Entities: \n [{'head':", " PRICE_PER_UNIT", " PRODUCES_CALORIES_WITH\n\n Entities: \n ", " FOOD_PRODUCT_HAS_NUTRITION_CONTENT", " PRODUCES_CALORIES", " SUGAR_CONTENT\n\n Entities: \n [{'head':", " HAS_CALORIES", " SUGAR_CONTENT\n\n Explanation:\n The text mentions", " OWNER", " HAS_HISTORY", " SPOKE_FOR", " PART_OF", " OWNER", " MANUFACTURER", " MANUFACTURER", " SOLD_AT", " AVAILABLE_AT_TIME\n\n Entities: \n [{'head", " AVAILABLE_AT", " SELLS\n\n Entities: \n [{'head': ['17", " PRICE", " LOCATED_IN", " DIVISION_OF", " DIVISION_OF", " LAUNCHED_FIRST", " PRODUCES", " PRODUCES\n\n Explanation:\n The text states that \"P", " PRICE_PER_UNIT_OF\n\n Entities: \n [{'", " PRODUCES", " PRICE_PER_UNIT", " PRICE_PER_UNIT_OF\n\n Entities: \n [{'", " PRODUCES", " PRICE_PER_UNIT_OF\n\n Entities: \n [{'", " PRODUCES", " PRICE_OF_PRODUCT_HAS_CALORIES", " PRODUCES_QUANTITY", " PRODUCES", " HAS_BEEN_IN_BUSINESS_FOR", " PRESIDENT_OF", " DIVISION_OF", " PRODUCES", " PRODUCES", " PRODUCES", " AVAILABLE_AT", " AVAILABLE_FROM", " AVAILABLE_AT", " PRICE_PER_UNIT", " PRICE_OF_PRODUCT", " LOCATED_IN", " BRAND_OF\n OR\n PRODUCT_OF\n OR\n ", " BRAND_OF\n OR\n PRODUCT_OF\n OR\n ", " MOVED_INTO\n\n Entities: \n [{'head': ['", " BRAND_OF\n ORGANIZATION_PRODUCES\n ", " FLAVORS_OF", " PER_ITEM_CALORIES", " SUGAR_CONTENT", " PER_ITEM_CALORIES", " HAS_CALORIES", " SUGAR_CONTENT_OF\n\n Entities: \n [{'", " HAS_CALORIES", " SUGAR_CONTENT\n\n Explanation:\n The text mentions", " HAS_CALORIES", " SUGAR_CONTENT\n\n Or, if you prefer, use the following format", " SAME_ORGANIZATION", " HAS_HISTORY", " SPOKE_FOR", " BRAND_OF\n ORGANIZATION_TYPE_OF\n OR", " BELONGS_TO", " ORGANIZATION_PRODUCES", " ORGANIZATION_PRODUCES", " SOLD_AT", " AVAILABLE_FROM", " AVAILABLE_AT", " PRICE_PER_UNIT", " PRICE_OF_PRODUCT", " LOCATED_IN", " MANUFACTURED_BY", " PRODUCT_OF\n\n Explanation:\n The text states that \"P", " PRODUCT_OF\n\n Explanation:\n The text states that \"P", " SPOKESPERSON", " PRODUCES", " PRODUCED_BY", " PRODUCT_OF\n\n Explanation:\n The text states that \"P", " SOLD_AT", " LOCATED_IN", " MANUFACTURED_BY", " PRODUCT_OF\n\n Explanation:\n The text states that \"P", " PRODUCT_OF\n\n Explanation:\n The text states that \"P", " SPOKESPERSON", " PRODUCES", " PRODUCED_BY", " PRODUCT_OF\n\n Explanation:\n The text states that \"P", " SOLD_AT", " AVAILABLE_AT", " SELLS\n\n Explanation:\n The text states that \"Pills", " SELLS", " AVAILABLE_AT", " SOLD_AT", " AVAILABLE_AT", " AVAILABLE_AT", " SOLD_IN_QUANTITY", " AVAILABLE_AT", " SOLD_AT\n\n Entities: \n [{'head': ['2", " SOLD_AT\n\n Explanation:\n The text states that Pills", " SOLD_IN_QUANTITY", " SOLD_IN_QUANTITY", " SOLD_IN_QUANTITY", " SOLD_AT\n\n Entities: \n [{'head': ['1", " SELLS", " AVAILABLE_AT", " SELLS\n\n Explanation:\n The text states that \"Pills", " SELLS\n\n Explanation:\n The text states that \"Pills", " SELLS\n\n Explanation:\n The text states that \"Pills", " SELLS", " SELLER_OF\n # or\n # RETAILER_OF\n ", " SELLS\n\n Explanation:\n The text states that \"Pills", " AVAILABLE_AT", " AVAILABLE_AT", " AVAILABLE_AT", " PRICE_OF\n\n Entities: \n [{'head': ['MIN", " LOCATION.IN.CITY", " DISTRIBUTION", " AVAILABLE_AT", " AVAILABLE_AT", " SPOKE_AT\n\n Explanation:\n The text states that Jeff", " AVAILABLE_AT", " SPOKESPERSON", " AVAILABLE_AT", " AVAILABLE_AT", " LOCATION.IN.REGION", " AVAILABLE_AT", " AVAILABLE_AT", " AVAILABLE_AT", " AVAILABLE_AT", " AVAILABLE_AT", " AVAILABLE_AT", " AVAILABLE_AT", " AVAILABLE_AT", " LOCATION_OF\n\n Entities: \n [{'head': ['", " PRODUCES", " PRODUCES", " SOLD_BY", " SAID", " PRODUCES", " PRODUCES", " PRODUCES", " AVAILABLE_AT", " PRICE_IN_LOCATION", " PRICE_OF_PRODUCT", " PRICE", " PRICE_OF_PRODUCT", " PRICE_OF (MONEY, PERSON)", " PRICE_OF\n\n Entities: \n [{'head': ['1", " PRICE_OF\n\n Entities: \n [{'head': ['1", " PRICE_OF", " PRICE_AT_RETAILER" ]
[ [ "0", "1", "GPE", "MINNEAPOLIS" ], [ "2", "6", "ORG", "General Mills, Inc." ], [ "9", "10", "ORG", "Pillsbury" ], [ "17", "18", "ORDINAL", "first" ], [ "29", "32", "PRODUCT", "Soft Baked Cookies" ], [ "51", "52", "CARDINAL", "four" ], [ "80", "81", "CARDINAL", "140" ], [ "83", "85", "QUANTITY", "12 grams" ], [ "88", "89", "CARDINAL", "two" ], [ "97", "99", "QUANTITY", "130 calories" ], [ "100", "102", "QUANTITY", "11 grams" ], [ "112", "114", "QUANTITY", "140 calories" ], [ "115", "117", "QUANTITY", "12 grams" ], [ "129", "131", "QUANTITY", "150 calories" ], [ "132", "134", "QUANTITY", "14 grams" ], [ "141", "142", "ORG", "Pillsbury" ], [ "152", "156", "DATE", "more than 100 years" ], [ "172", "174", "PERSON", "Jeff Caswell" ], [ "177", "180", "ORG", "General Mills’" ], [ "180", "182", "ORG", "Snacks Division" ], [ "189", "190", "ORG", "Pillsbury" ], [ "217", "221", "PRODUCT", "Pillsbury Soft Baked Cookies" ], [ "237", "241", "PRODUCT", "Pillsbury Soft Baked Cookies" ], [ "244", "245", "ORG", "Walmart" ], [ "247", "249", "DATE", "this month" ], [ "256", "257", "DATE", "April" ], [ "261", "262", "CARDINAL", "18" ], [ "269", "270", "MONEY", "3.69" ] ]
32,893
32,895
[ "SURPRISE, Ariz. - A Surprise man is facing 20 counts of sex crimes against a minor after a multi-month investigation into his online activity, the police department said on March 9.\nRobert Beckham, 65, was arrested on March 8 by officers with the help of the United States Marshals Service. \"He was arrested on numerous felony charges, including 20 counts of sexual exploitation of a minor. The arrest comes after a multi-month investigation into Beckham’s online activities,\" said Surprise Police Lt. Tim Klarkowski.\nBeckham reportedly had hundreds of photos deemed to be child sexual abuse material.\n\"This arrest is a prime example of excellent police work and collaboration with our law enforcement partners,\" said Surprise Police Chief Benny Piña. \"We take cases such as this very seriously as we work to ensure the safety of our community.\"\nBeckham has been booked into Maricopa County Jail.\n- Scottsdale PD undercover operation ends in arrest of man accused of child sex crimes\n- 'I am a monster': Man gets 50 years in prison for making child porn, blackmailing children\n- Police continue search for person of interest in murder of couple\n- Box of human heads was stolen from truck after medical training event, company says\nTune in to FOX 10 Phoenix for the latest news:" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['SURPRISE, Ariz. - A Surprise man is facing 20 counts of sex crimes against a minor after a multi-month investigation into his online activity, the police department said on March 9.\nRobert Beckham, 65, was arrested on March 8 by officers with the help of the United States Marshals Service. "He was arrested on numerous felony charges, including 20 counts of sexual exploitation of a minor. The arrest comes after a multi-month investigation into Beckham’s online activities," said Surprise Police Lt. Tim Klarkowski.\nBeckham reportedly had hundreds of photos deemed to be child sexual abuse material.\n"This arrest is a prime example of excellent police work and collaboration with our law enforcement partners," said Surprise Police Chief Benny Piña. "We take cases such as this very seriously as we work to ensure the safety of our community."\nBeckham has been booked into Maricopa County Jail.\n- Scottsdale PD undercover operation ends in arrest of man accused of child sex crimes\n- \'I am a monster\': Man gets 50 years in prison for making child porn, blackmailing children\n- Police continue search for person of interest in murder of couple\n- Box of human heads was stolen from truck after medical training event, company says\nTune in to FOX 10 Phoenix for the latest news:'] Entities: [{'head': ['0', '1', 'GPE', 'SURPRISE'], 'tail': ['2', '3', 'GPE', 'Ariz.']}] Relation:
[ [ { "head": [ "0", "1", "GPE", "SURPRISE" ], "tail": [ "2", "3", "GPE", "Ariz." ] } ], [ { "head": [ "0", "1", "GPE", "SURPRISE" ], "tail": [ "5", "6", "GPE", "Surprise" ] } ], [ { "head": [ "0", "1", "GPE", "SURPRISE" ], "tail": [ "9", "10", "CARDINAL", "20" ] } ], [ { "head": [ "0", "1", "GPE", "SURPRISE" ], "tail": [ "19", "22", "DATE", "multi-month" ] } ], [ { "head": [ "0", "1", "GPE", "SURPRISE" ], "tail": [ "33", "35", "DATE", "March 9" ] } ], [ { "head": [ "0", "1", "GPE", "SURPRISE" ], "tail": [ "37", "39", "PERSON", "Robert Beckham" ] } ], [ { "head": [ "0", "1", "GPE", "SURPRISE" ], "tail": [ "40", "41", "DATE", "65" ] } ], [ { "head": [ "0", "1", "GPE", "SURPRISE" ], "tail": [ "45", "47", "DATE", "March 8" ] } ], [ { "head": [ "0", "1", "GPE", "SURPRISE" ], "tail": [ "53", "58", "ORG", "the United States Marshals Service" ] } ], [ { "head": [ "0", "1", "GPE", "SURPRISE" ], "tail": [ "69", "70", "CARDINAL", "20" ] } ], [ { "head": [ "0", "1", "GPE", "SURPRISE" ], "tail": [ "83", "86", "DATE", "multi-month" ] } ], [ { "head": [ "0", "1", "GPE", "SURPRISE" ], "tail": [ "88", "89", "PERSON", "Beckham" ] } ], [ { "head": [ "0", "1", "GPE", "SURPRISE" ], "tail": [ "95", "97", "ORG", "Surprise Police" ] } ], [ { "head": [ "0", "1", "GPE", "SURPRISE" ], "tail": [ "99", "101", "PERSON", "Tim Klarkowski" ] } ], [ { "head": [ "0", "1", "GPE", "SURPRISE" ], "tail": [ "103", "104", "PERSON", "Beckham" ] } ], [ { "head": [ "0", "1", "GPE", "SURPRISE" ], "tail": [ "106", "107", "CARDINAL", "hundreds" ] } ], [ { "head": [ "0", "1", "GPE", "SURPRISE" ], "tail": [ "139", "140", "GPE", "Surprise" ] } ], [ { "head": [ "0", "1", "GPE", "SURPRISE" ], "tail": [ "142", "144", "PERSON", "Benny Piña" ] } ], [ { "head": [ "0", "1", "GPE", "SURPRISE" ], "tail": [ "167", "168", "PERSON", "Beckham" ] } ], [ { "head": [ "0", "1", "GPE", "SURPRISE" ], "tail": [ "172", "174", "GPE", "Maricopa County" ] } ], [ { "head": [ "0", "1", "GPE", "SURPRISE" ], "tail": [ "178", "180", "ORG", "Scottsdale PD" ] } ], [ { "head": [ "0", "1", "GPE", "SURPRISE" ], "tail": [ "203", "205", "DATE", "50 years" ] } ], [ { "head": [ "0", "1", "GPE", "SURPRISE" ], "tail": [ "248", "251", "ORG", "FOX 10 Phoenix" ] } ], [ { "head": [ "2", "3", "GPE", "Ariz." ], "tail": [ "0", "1", "GPE", "SURPRISE" ] } ], [ { "head": [ "2", "3", "GPE", "Ariz." ], "tail": [ "5", "6", "GPE", "Surprise" ] } ], [ { "head": [ "2", "3", "GPE", "Ariz." ], "tail": [ "9", "10", "CARDINAL", "20" ] } ], [ { "head": [ "2", "3", "GPE", "Ariz." ], "tail": [ "19", "22", "DATE", "multi-month" ] } ], [ { "head": [ "2", "3", "GPE", "Ariz." ], "tail": [ "33", "35", "DATE", "March 9" ] } ], [ { "head": [ "2", "3", "GPE", "Ariz." ], "tail": [ "37", "39", "PERSON", "Robert Beckham" ] } ], [ { "head": [ "2", "3", "GPE", "Ariz." ], "tail": [ "40", "41", "DATE", "65" ] } ], [ { "head": [ "2", "3", "GPE", "Ariz." ], "tail": [ "45", "47", "DATE", "March 8" ] } ], [ { "head": [ "2", "3", "GPE", "Ariz." ], "tail": [ "53", "58", "ORG", "the United States Marshals Service" ] } ], [ { "head": [ "2", "3", "GPE", "Ariz." ], "tail": [ "69", "70", "CARDINAL", "20" ] } ], [ { "head": [ "2", "3", "GPE", "Ariz." ], "tail": [ "83", "86", "DATE", "multi-month" ] } ], [ { "head": [ "2", "3", "GPE", "Ariz." ], "tail": [ "88", "89", "PERSON", "Beckham" ] } ], [ { "head": [ "2", "3", "GPE", "Ariz." ], "tail": [ "95", "97", "ORG", "Surprise Police" ] } ], [ { "head": [ "2", "3", "GPE", "Ariz." ], "tail": [ "99", "101", "PERSON", "Tim Klarkowski" ] } ], [ { "head": [ "2", "3", "GPE", "Ariz." ], "tail": [ "103", "104", "PERSON", "Beckham" ] } ], [ { "head": [ "2", "3", "GPE", "Ariz." ], "tail": [ "106", "107", "CARDINAL", "hundreds" ] } ], [ { "head": [ "2", "3", "GPE", "Ariz." ], "tail": [ "139", "140", "GPE", "Surprise" ] } ], [ { "head": [ "2", "3", "GPE", "Ariz." ], "tail": [ "142", "144", "PERSON", "Benny Piña" ] } ], [ { "head": [ "2", "3", "GPE", "Ariz." ], "tail": [ "167", "168", "PERSON", "Beckham" ] } ], [ { "head": [ "2", "3", "GPE", "Ariz." ], "tail": [ "172", "174", "GPE", "Maricopa County" ] } ], [ { "head": [ "2", "3", "GPE", "Ariz." ], "tail": [ "178", "180", "ORG", "Scottsdale PD" ] } ], [ { "head": [ "2", "3", "GPE", "Ariz." ], "tail": [ "203", "205", "DATE", "50 years" ] } ], [ { "head": [ "2", "3", "GPE", "Ariz." ], "tail": [ "248", "251", "ORG", "FOX 10 Phoenix" ] } ], [ { "head": [ "5", "6", "GPE", "Surprise" ], "tail": [ "0", "1", "GPE", "SURPRISE" ] } ], [ { "head": [ "5", "6", "GPE", "Surprise" ], "tail": [ "2", "3", "GPE", "Ariz." ] } ], [ { "head": [ "5", "6", "GPE", "Surprise" ], "tail": [ "9", "10", "CARDINAL", "20" ] } ], [ { "head": [ "5", "6", "GPE", "Surprise" ], "tail": [ "19", "22", "DATE", "multi-month" ] } ], [ { "head": [ "5", "6", "GPE", "Surprise" ], "tail": [ "33", "35", "DATE", "March 9" ] } ], [ { "head": [ "5", "6", "GPE", "Surprise" ], "tail": [ "37", "39", "PERSON", "Robert Beckham" ] } ], [ { "head": [ "5", "6", "GPE", "Surprise" ], "tail": [ "40", "41", "DATE", "65" ] } ], [ { "head": [ "5", "6", "GPE", "Surprise" ], "tail": [ "45", "47", "DATE", "March 8" ] } ], [ { "head": [ "5", "6", "GPE", "Surprise" ], "tail": [ "53", "58", "ORG", "the United States Marshals Service" ] } ], [ { "head": [ "5", "6", "GPE", "Surprise" ], "tail": [ "69", "70", "CARDINAL", "20" ] } ], [ { "head": [ "5", "6", "GPE", "Surprise" ], "tail": [ "83", "86", "DATE", "multi-month" ] } ], [ { "head": [ "5", "6", "GPE", "Surprise" ], "tail": [ "88", "89", "PERSON", "Beckham" ] } ], [ { "head": [ "5", "6", "GPE", "Surprise" ], "tail": [ "95", "97", "ORG", "Surprise Police" ] } ], [ { "head": [ "5", "6", "GPE", "Surprise" ], "tail": [ "99", "101", "PERSON", "Tim Klarkowski" ] } ], [ { "head": [ "5", "6", "GPE", "Surprise" ], "tail": [ "103", "104", "PERSON", "Beckham" ] } ], [ { "head": [ "5", "6", "GPE", "Surprise" ], "tail": [ "106", "107", "CARDINAL", "hundreds" ] } ], [ { "head": [ "5", "6", "GPE", "Surprise" ], "tail": [ "139", "140", "GPE", "Surprise" ] } ], [ { "head": [ "5", "6", "GPE", "Surprise" ], "tail": [ "142", "144", "PERSON", "Benny Piña" ] } ], [ { "head": [ "5", "6", "GPE", "Surprise" ], "tail": [ "167", "168", "PERSON", "Beckham" ] } ], [ { "head": [ "5", "6", "GPE", "Surprise" ], "tail": [ "172", "174", "GPE", "Maricopa County" ] } ], [ { "head": [ "5", "6", "GPE", "Surprise" ], "tail": [ "178", "180", "ORG", "Scottsdale PD" ] } ], [ { "head": [ "5", "6", "GPE", "Surprise" ], "tail": [ "203", "205", "DATE", "50 years" ] } ], [ { "head": [ "5", "6", "GPE", "Surprise" ], "tail": [ "248", "251", "ORG", "FOX 10 Phoenix" ] } ], [ { "head": [ "9", "10", "CARDINAL", "20" ], "tail": [ "0", "1", "GPE", "SURPRISE" ] } ], [ { "head": [ "9", "10", "CARDINAL", "20" ], "tail": [ "2", "3", "GPE", "Ariz." ] } ], [ { "head": [ "9", "10", "CARDINAL", "20" ], "tail": [ "5", "6", "GPE", "Surprise" ] } ], [ { "head": [ "9", "10", "CARDINAL", "20" ], "tail": [ "37", "39", "PERSON", "Robert Beckham" ] } ], [ { "head": [ "9", "10", "CARDINAL", "20" ], "tail": [ "53", "58", "ORG", "the United States Marshals Service" ] } ], [ { "head": [ "9", "10", "CARDINAL", "20" ], "tail": [ "88", "89", "PERSON", "Beckham" ] } ], [ { "head": [ "9", "10", "CARDINAL", "20" ], "tail": [ "95", "97", "ORG", "Surprise Police" ] } ], [ { "head": [ "9", "10", "CARDINAL", "20" ], "tail": [ "99", "101", "PERSON", "Tim Klarkowski" ] } ], [ { "head": [ "9", "10", "CARDINAL", "20" ], "tail": [ "103", "104", "PERSON", "Beckham" ] } ], [ { "head": [ "9", "10", "CARDINAL", "20" ], "tail": [ "139", "140", "GPE", "Surprise" ] } ], [ { "head": [ "9", "10", "CARDINAL", "20" ], "tail": [ "142", "144", "PERSON", "Benny Piña" ] } ], [ { "head": [ "9", "10", "CARDINAL", "20" ], "tail": [ "167", "168", "PERSON", "Beckham" ] } ], [ { "head": [ "9", "10", "CARDINAL", "20" ], "tail": [ "172", "174", "GPE", "Maricopa County" ] } ], [ { "head": [ "9", "10", "CARDINAL", "20" ], "tail": [ "178", "180", "ORG", "Scottsdale PD" ] } ], [ { "head": [ "9", "10", "CARDINAL", "20" ], 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"Scottsdale PD" ], "tail": [ "53", "58", "ORG", "the United States Marshals Service" ] } ], [ { "head": [ "178", "180", "ORG", "Scottsdale PD" ], "tail": [ "69", "70", "CARDINAL", "20" ] } ], [ { "head": [ "178", "180", "ORG", "Scottsdale PD" ], "tail": [ "83", "86", "DATE", "multi-month" ] } ], [ { "head": [ "178", "180", "ORG", "Scottsdale PD" ], "tail": [ "88", "89", "PERSON", "Beckham" ] } ], [ { "head": [ "178", "180", "ORG", "Scottsdale PD" ], "tail": [ "95", "97", "ORG", "Surprise Police" ] } ], [ { "head": [ "178", "180", "ORG", "Scottsdale PD" ], "tail": [ "99", "101", "PERSON", "Tim Klarkowski" ] } ], [ { "head": [ "178", "180", "ORG", "Scottsdale PD" ], "tail": [ "103", "104", "PERSON", "Beckham" ] } ], [ { "head": [ "178", "180", "ORG", "Scottsdale PD" ], "tail": [ "106", "107", "CARDINAL", "hundreds" ] } ], [ { "head": [ "178", "180", "ORG", "Scottsdale PD" ], "tail": [ "139", "140", "GPE", "Surprise" ] } ], [ { "head": [ "178", "180", "ORG", "Scottsdale PD" ], "tail": [ "142", "144", "PERSON", "Benny Piña" ] } ], [ { "head": [ "178", "180", "ORG", "Scottsdale PD" ], "tail": [ "167", "168", "PERSON", "Beckham" ] } ], [ { "head": [ "178", "180", "ORG", "Scottsdale PD" ], "tail": [ "172", "174", "GPE", "Maricopa County" ] } ], [ { "head": [ "178", "180", "ORG", "Scottsdale PD" ], "tail": [ "203", "205", "DATE", "50 years" ] } ], [ { "head": [ "178", "180", "ORG", "Scottsdale PD" ], "tail": [ "248", "251", "ORG", "FOX 10 Phoenix" ] } ], [ { "head": [ "203", "205", "DATE", "50 years" ], "tail": [ "0", "1", "GPE", "SURPRISE" ] } ], [ { "head": [ "203", "205", "DATE", "50 years" ], "tail": [ "2", "3", "GPE", "Ariz." ] } ], [ { "head": [ "203", "205", "DATE", "50 years" ], "tail": [ "5", "6", "GPE", "Surprise" ] } ], [ { "head": [ "203", "205", "DATE", "50 years" ], "tail": [ "37", "39", "PERSON", "Robert Beckham" ] } ], [ { "head": [ "203", "205", "DATE", "50 years" ], "tail": [ "53", "58", "ORG", "the United States Marshals Service" ] } ], [ { "head": [ "203", "205", "DATE", "50 years" ], "tail": [ "88", "89", "PERSON", "Beckham" ] } ], [ { "head": [ "203", "205", "DATE", "50 years" ], "tail": [ "95", "97", "ORG", "Surprise Police" ] } ], [ { "head": [ "203", "205", "DATE", "50 years" ], "tail": [ "99", "101", "PERSON", "Tim Klarkowski" ] } ], [ { "head": [ "203", "205", "DATE", "50 years" ], "tail": [ "103", "104", "PERSON", "Beckham" ] } ], [ { "head": [ "203", "205", "DATE", "50 years" ], "tail": [ "139", "140", "GPE", "Surprise" ] } ], [ { "head": [ "203", "205", "DATE", "50 years" ], "tail": [ "142", "144", "PERSON", "Benny Piña" ] } ], [ { "head": [ "203", "205", "DATE", "50 years" ], "tail": [ "167", "168", "PERSON", "Beckham" ] } ], [ { "head": [ "203", "205", "DATE", "50 years" ], "tail": [ "172", "174", "GPE", "Maricopa County" ] } ], [ { "head": [ "203", "205", "DATE", "50 years" ], "tail": [ "178", "180", "ORG", "Scottsdale PD" ] } ], [ { "head": [ "203", "205", "DATE", "50 years" ], "tail": [ "248", "251", "ORG", "FOX 10 Phoenix" ] } ], [ { "head": [ "248", "251", "ORG", "FOX 10 Phoenix" ], "tail": [ "0", "1", "GPE", "SURPRISE" ] } ], [ { "head": [ "248", "251", "ORG", "FOX 10 Phoenix" ], "tail": [ "2", "3", "GPE", "Ariz." ] } ], [ { "head": [ "248", "251", "ORG", "FOX 10 Phoenix" ], "tail": [ "5", "6", "GPE", "Surprise" ] } ], [ { "head": [ "248", "251", "ORG", "FOX 10 Phoenix" ], "tail": [ "9", "10", "CARDINAL", "20" ] } ], [ { "head": [ "248", "251", "ORG", "FOX 10 Phoenix" ], "tail": [ "19", "22", "DATE", "multi-month" ] } ], [ { "head": [ "248", "251", "ORG", "FOX 10 Phoenix" ], "tail": [ "33", "35", "DATE", "March 9" ] } ], [ { "head": [ "248", "251", "ORG", "FOX 10 Phoenix" ], "tail": [ "37", "39", "PERSON", "Robert Beckham" ] } ], [ { "head": [ "248", "251", "ORG", "FOX 10 Phoenix" ], "tail": [ "40", "41", "DATE", "65" ] } ], [ { "head": [ "248", "251", "ORG", "FOX 10 Phoenix" ], "tail": [ "45", "47", "DATE", "March 8" ] } ], [ { "head": [ "248", "251", "ORG", "FOX 10 Phoenix" ], "tail": [ "53", "58", "ORG", "the United States Marshals Service" ] } ], [ { "head": [ "248", "251", "ORG", "FOX 10 Phoenix" ], "tail": [ "69", "70", "CARDINAL", "20" ] } ], [ { "head": [ "248", "251", "ORG", "FOX 10 Phoenix" ], "tail": [ "83", "86", "DATE", "multi-month" ] } ], [ { "head": [ "248", "251", "ORG", "FOX 10 Phoenix" ], "tail": [ "88", "89", "PERSON", "Beckham" ] } ], [ { "head": [ "248", "251", "ORG", "FOX 10 Phoenix" ], "tail": [ "95", "97", "ORG", "Surprise Police" ] } ], [ { "head": [ "248", "251", "ORG", "FOX 10 Phoenix" ], "tail": [ "99", "101", "PERSON", "Tim Klarkowski" ] } ], [ { "head": [ "248", "251", "ORG", "FOX 10 Phoenix" ], "tail": [ "103", "104", "PERSON", "Beckham" ] } ], [ { "head": [ "248", "251", "ORG", "FOX 10 Phoenix" ], "tail": [ "106", "107", "CARDINAL", "hundreds" ] } ], [ { "head": [ "248", "251", "ORG", "FOX 10 Phoenix" ], "tail": [ "139", "140", "GPE", "Surprise" ] } ], [ { "head": [ "248", "251", "ORG", "FOX 10 Phoenix" ], "tail": [ "142", "144", "PERSON", "Benny Piña" ] } ], [ { "head": [ "248", "251", "ORG", "FOX 10 Phoenix" ], "tail": [ "167", "168", "PERSON", "Beckham" ] } ], [ { "head": [ "248", "251", "ORG", "FOX 10 Phoenix" ], "tail": [ "172", "174", "GPE", "Maricopa County" ] } ], [ { "head": [ "248", "251", "ORG", "FOX 10 Phoenix" ], "tail": [ "178", "180", "ORG", "Scottsdale PD" ] } ], [ { "head": [ "248", "251", "ORG", "FOX 10 Phoenix" ], "tail": [ "203", "205", "DATE", "50 years" ] } ] ]
[ " LOCATION_IN_LOCATION", " LOCATION_IN_LOCATION", " INVESTIGATION_OF", " INVESTIGATION_PERIOD", " INVESTIGATION_DATE", " LOCATION_OF\n or\n RESIDES_IN\n or\n", " ARRESTED_ON", " ARRESTED_ON", " ASSISTED_BY", " INVESTIGATION_OF", " INVESTIGATION_PERIOD", " LOCATION_OF\n or\n RESIDES_IN\n or\n", " INVESTIGATION_BY", " SPOKE_AT", " LOCATION_OF\n or\n RESIDES_IN\n or\n", " EXPLOITATION_OF_MINOR_MATERIAL_FOUND_IN", " LOCATION_IN_LOCATION", " EXCELLENT_WORK", " LOCATION_OF\n or\n RESIDES_IN\n or\n", " BOOKED_INTO", " NO_RELATION.", " NO_RELATION.", " NO_RELATION", " LOCATION_IN_LOCATION", " LOCATION_IN_LOCATION", " LOCATION_OF\n or\n NO_RELATION (if 'Ariz", " INVESTIGATION_PERIOD", " EVENT_DATE", " LOCATION_OF\n or\n RESIDES_IN\n or\n", " LOCATION_OF\n or\n NO_RELATION", " ARRESTED_ON", " ASSISTED_BY", " LOCATION_OF\n or\n NO_RELATION (if 'Ariz", " INVESTIGATION_PERIOD", " LOCATION_OF\n or\n NO_RELATION (if 'Beck", " LOCATION_OF\n or\n POLICE_DEPARTMENT_FOR", " LOCATION_OF\n or\n NO_RELATION (if 'Tim Kl", " LOCATION_OF\n\n Explanation:\n The text states that Beck", " ORIGINATED_FROM", " LOCATION_IN_LOCATION", " SAID_BY", " LOCATION_OF\n or\n RESIDES_IN\n or\n", " BOOKED_INTO", " NO_RELATION.", " SENTENCE_LENGTH_DIFFERENCE_WITH_HEAD_ENTITY_LABEL\n", " NO_RELATION.", " LOCATION_IN_LOCATION", " LOCATION_IN_LOCATION", " ARRESTED_WITH_COUNT\n or\n CHARGED_WITH_", " INVESTIGATION_PERIOD", " INVESTIGATION_DATE", " 'LOCATION_OF' # The location (Surprise) is the head of the", " AGE_DIFFERENCE", " ARRESTED_ON", " ASSISTED_BY", " SEXUAL_EXPLoITATION_OF_MINOR", " INVESTIGATION_PERIOD", " 'LOCATION_OF' # The location (Surprise) is the head of the", " POLICE_DEPARTMENT", " SPOKE_AT", " 'LOCATION_OF' # The location (Surprise) is the head of the", " ROUND_NUMBER_QUANTITY", " LOCATION_IN_LOCATION", " SAID_BY", " LIVES_IN", " BOOKED_INTO", " NO_RELATION.", " NO_RELATION.", " NO_RELATION", " INVESTIGATION_LOCATION", " LOCATION_OF\n or\n LOCATED_IN\n or\n", " FACES_CHARGE_IN", " SEXUAL_EXPLoITATION_OF_A_MINOR", " ASSISTED_BY", " ARRESTED_BY", " INVESTIGATION_RESULTED_IN_ARREST", " SPOKE_AT", " SEXUAL_EXPLoITATION_OF_A_MINOR", " INVESTIGATION_LOCATION", " APPROVED_BY", " SEXUAL_EXPLoITATION_OF_A_MINOR", " BOOKED_INTO", " NO_RELATION. The text does not provide enough context to determine a relation between the entities", " NO_RELATION", " INVESTIGATION_AT_LOCATION", " LOCATION.IN.GPE", " INVESTIGATION_PERIOD_OF\n\n Explanation:\n", " INVESTIGATION_OF", " ASSISTED_BY", " INVESTIGATION_PERIOD", " INVESTIGATION", " SPOKE_AT", " INVESTIGATION_OF", " INVESTIGATION_IN.", " EXCELLENT_WORK", " INVESTIGATION_OF", " BOOKED_INTO", " NO_RELATION.", " NO_RELATION", " INVESTIGATION_DATE", " LOCATION.IN.DATE.FROM.GPE", " INVESTIGATION_DATE", " ARRESTED_ON_DATE", " ASSISTED_BY", " ARRESTED_ON_DATE", " ANNOUNCED_INVESTIGATION", " SPOKE_AT", " ARRESTED_ON_DATE", " INVESTIGATION_DATE", " SPOKE_SUPPORTING_ROLE", " ARRESTED_ON_DATE", " BOOKED_INTO", " NO_RELATION", " NO_RELATION", " LIVES_IN", " LOCATION.\n # This is the correct answer. The head entity 'Rober", " LIVES_IN", " SEXUAL_EXPLoITATION_OF_A_MINOR", " INVESTIGATION_PERIOD", " ANNOUNCEMENT_DATE", " AGE_OF_PERSON", " ARRESTED_ON", " WAS_ARRESTED_BY", " SEXUAL_EXPLoITATION_OF_A_MINOR", " INVESTIGATION_PERIOD", " SAME_PERSON", " INVESTIGATION", " SPOKE_OF\n\n Explanation:\n The text mentions that", " SAME_PERSON", " POSSES\n\n Explanation:\n The text states that Robert Beck", " LIVES_IN", " CHIEF_OF_POLICE", " SAME_PERSON", " BOOKED_INTO", " NO_RELATION", " SENTENCE_NO_RELATION", " NO_RELATION", " LOCATION_OF\n or\n NO_RELATION (if 'SUR", " LOCATION.IN.GPE", " LOCATION_OF\n or\n NO_RELATION", " ARRESTED_BY", " ASSISTED_BY", " ARRESTED_ON_DATE", " INVESTIGATION_BY", " SPOKE_AT", " ARRESTED_BY", " LOCATION.IN.POLICE_DEPARTMENT_JURISDICTION", " SPOKESPERSON", " ARRESTED_BY", " BOOKED_INTO", " NO_RELATION", " NO_RELATION", " ARRESTED_IN", " LOCATION.IN.DATE.FROM.ARRESTED_AT.LOCATION", " ARRESTED_IN", " ARRESTED_ON", " ASSISTED_BY", " ARRESTED_ON", " ARRESTED_BY", " SPOKE_AT", " ARRESTED_ON", " ARRESTED_IN", " SPOKE_AT", " ARRESTED_ON", " BOOKED_INTO", " NO_RELATION", " NO_RELATION", " ASSISTED_BY", " ASSISTED_BY", " ASSISTED_BY", " ASSISTED_BY", " HELPED", " ASSISTED_ARREST", " ASSISTED_ARREST", " ASSISTED_ARREST", " ASSISTED_ARREST", " ASSISTED_BY", " ASSISTED_BY", " ASSISTED_ARREST", " ASSISTED_BY", " HELPED", " ASSISTED_ARREST", " HELPED_ARREST", " ASSISTED_BY", " COLLABORATOR", " ASSISTED_ARREST", " ASSISTED_BY", " ASSISTED_BY", " NO_RELATION. The entities do not have a relation in the given text.", " HELPS\n\n Explanation:\n The text mentions that the United", " LIVES_IN", " LOCATION_OF. (The person is located in Ariz.)", " LIVES_IN", " SEXUAL_EXPLoITATION_OF_A_MINOR", " ASSISTED_BY", " SEXUAL_EXPLoITATION_OF_A_MINOR", " INVESTIGATION_OF", " SPOKE_OF", " SEXUAL_EXPLoITATION_OF_A_MINOR", " LIVES_IN", " COLLABORATOR", " SEXUAL_EXPLoITATION_OF_A_MINOR", " BOOKED_INTO", " NO_RELATION. The text does not provide enough context to determine a relation between the entities", " NO_RELATION.", " INVESTIGATION_PERIOD_OF\n\n Explanation:\n", " INVESTIGATION_LOCATION", " INVESTIGATION_PERIOD_OF.", " INVESTIGATION_OF", " ASSISTED_BY", " INVESTIGATION", " INVESTIGATION", " SPOKE_AT", " INVESTIGATION", " INVESTIGATION_IN.", " EXCELLENT_WORK", " INVESTIGATION", " BOOKED_INTO", " NO_RELATION", " NO_RELATION", " LIVES_IN", " LOCATION.OF.RESIDENCE.OR_ORIGIN.FOR_PER", " LIVES_IN", " SEXUAL_EXPOITATION_OF_MINOR", " INVESTIGATION_PERIOD", " ANNOUNCEMENT_DATE", " SAME_PERSON", " AGE_OF_PERSON", " ARRESTED_ON", " ASSISTED_BY", " SEXUAL_EXPLoITATION_OF_A_MINOR", " INVESTIGATION_PERIOD", " INVESTIGATION_BY", " SPOKE_FOR\n\n Explanation:\n In the context, \"", " SAME_PERSON", " POSSES\n\n Explanation:\n The text states that Robert Beck", " LIVES_IN", " SPEAKS_FOR\n\n Explanation:\n In the text, it", " SAME_PERSON", " BOOKED_INTO", " NO_RELATION.", " NO_RELATION.", " NO_RELATION", " LOCATION_OF\n or\n LOCATED_IN\n or\n", " LOCATION.IN.JURISDICTION", " POLICE_DEPARTMENT_FOR_GEOGRAPHIC_LOCATION", " INVESTIGATION_RESULTED_IN\n or\n CHARGED_", " INVESTIGATION_PERIOD", " ANNOUNCED_ON", " INVESTIGATED", " ARRESTED_BY", " ARRESTED_ON", " ASSISTED_BY", " INVESTIGATION_RESULTED_IN\n or\n CHARGED_", " INVESTIGATION", " ARRESTED_BY", " SPOKE_AT", " ARRESTED_BY", " INVESTIGATION_YIELDED_EVIDENCE", " LOCATION.IN.POLICE_DEPARTMENT", " SPOKE_FOR\n\n Explanation:\n The text states that \"", " ARRESTED_BY", " BOOKED_INTO", " NO_RELATION.", " NO_RELATION.", " NO_RELATION", " SPOKE_AT", " LOCATION_OF.", " SPOKE_AT", " INVESTIGATION_RESULTED_IN\n or\n CHARGED_", " INVESTIGATION_PERIOD", " SPOKE_ON (or SPEAKED_ON for older models)", " SPOKE_ABOUT", " SPOKE_AT", " ARRESTED_ON", " ASSISTED_BY", " SPOKE_OF", " INVESTIGATION_PERIOD", " SPOKE_ABOUT", " SPOKE_FOR", " SPOKE_ABOUT", " INVESTIGATION_FOUND_EVIDENCE", " SPOKE_AT", " COLLABORATOR", " SPOKE_ABOUT", " BOOKED_INTO", " NO_RELATION", " NO_RELATION.", " NO_RELATION", " LIVES_IN", " LOCATION.\n\n Explanation:\n The text states that \"A", " LIVES_IN", " SEXUAL_EXPLoITATION_OF_A_MINOR", " INVESTIGATION_PERIOD", " ANNOUNCEMENT_DATE", " SAME_PERSON", " AGE_OF_PERSON", " ARRESTED_ON", " ASSISTED_BY", " SEXUAL_EXPLoITATION_OF_A_MINOR", " INVESTIGATION_PERIOD", " SAME_PERSON", " INVESTIGATION_BY", " SPOKE_OF", " POSSES\n\n Explanation:\n The text states that Robert Beck", " LIVES_IN", " WORKED_FOR", " SAME_PERSON", " BOOKED_INTO", " NO_RELATION. The text does not provide enough context to determine a relation between 'Be", " NO_RELATION.", " TUNE_IN_TO", " CHILD_ABUSE_MATERIAL_FOUND_IN_LOCATION", " CHILD_ABUSE_MATERIAL_FOUND_IN_LOCATION", " CHILD_ABUSE_MATERIAL_FOUND_IN_LOCATION", " POSSESION", " ASSISTED_BY", " POSSESION", " INVESTIGATION_RESULTED_IN_ARREST", " SPOKE_OF", " POSSESION", " HAS_PROPERTY", " EXCELLENT_WORK", " POSSESION", " EXISTS_IN", " NO_RELATION. The context does not provide enough information to determine a relation between the entities", " MENTIONED_IN.", " LOCATION_IN_LOCATION", " LOCATION_IN_REGION", " LOCATION_IN_LOCATION", " INVESTIGATION_OF\n or\n CASE_INVOLVING", " INVESTIGATION_PERIOD", " ANNOUNCEMENT_DATE", " LOCATION_OF\n or\n RESIDES_IN\n or\n", " AGE_OF_HEAD_ENTITY_IS\n\n Explanation:\n", " ARRESTED_ON", " ASSISTED_BY", " SEXUAL_EXPLoITATION_OF_A_MINOR", " INVESTIGATION_PERIOD", " LIVES_IN", " INVESTIGATION", " SPOKE_AT", " LIVES_IN", " HAS_PROPERTY", " CHIEF_OF_POLICE", " LIVES_IN", " BOOKED_INTO", " NO_RELATION. The text does not provide enough context to determine a relation between 'Sur", " NO_RELATION.", " TUNE_IN_TO", " LEADS\n\n Explanation:\n The context states that \"Surprise", " LOCATION_OF.", " LEADS\n\n Explanation:\n The context states that \"Surprise", " SPOKESPERSON", " INVESTIGATION_PERIOD", " ANNOUNCED_ON", " WORKED_FOR", " HEAD_OF\n\n Explanation:\n The text mentions that Sur", " ARRESTED_ON", " COLLABORATOR", " ENHANCES", " INVESTIGATION_PERIOD", " COLLABORATOR", " LEADS", " COLLABORATOR", " WORKED_FOR", " EXPANDED_PRODUCTION_OF", " LEADS\n\n Explanation:\n The context states that \"Surprise", " WORKED_FOR", " LOCATION_OF\n or\n JAILED_AT\n or\n", " COLLABORATOR", " NO_RELATION.", " WORKS_FOR", " LIVES_IN", " LOCATION.\n This is the correct answer. The head entity is Beckham,", " LIVES_IN", " SEXUAL_EXPLoITATION_OF_A_MINOR", " INVESTIGATION_PERIOD", " ANNOUNCEMENT_DATE", " SAME_PERSON", " AGE_OF_PERSON", " ARRESTED_ON", " WAS_ARRESTED_BY", " SEXUAL_EXPLoITATION_OF_MINOR", " INVESTIGATION_PERIOD", " SAME_PERSON", " INVESTIGATION_BY", " SPOKE_OF", " SAME_PERSON", " POSSES\n\n Explanation:\n The text states that Robert Beck", " LIVES_IN", " CHIEF_OF_POLICE", " BOOKED_INTO", " NO_RELATION", " NO_RELATION.", " NO_RELATION", " BOOKED_INTO", " LOCATION_IN_REGION", " BOOKED_INTO", " BOOKED_INTO", " INVESTIGATION_PERIOD_OF\n\n Explanation:\n", " NO_RELATION", " BOOKED_INTO", " BOOKED_INTO", " BOOKED_ON_DATE", " ASSISTED_BY", " BOOKED_INTO", " INVESTIGATION_PERIOD_OF\n\n Explanation:\n", " BOOKED_INTO", " BOOKED_INTO", " BOOKED_INTO", " BOOKED_INTO", " BOOKED_INTO", " BOOKED_INTO", " CHIEF_OF_POLICE", " BOOKED_INTO", " NO_RELATION.", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION.", " NO_RELATION", " NO_RELATION", " UNDER_INVESTIGATION", " NO_RELATION", " ARRESTED_BY", " NO_RELATION", " NO_RELATION", " ASSISTED_BY", " NO_RELATION", " UNDER_INVESTIGATION", " NO_RELATION", " COLLABORATION", " SPOKE_AT", " NO_RELATION", " NO_RELATION. The context does not provide enough information to determine a relation between 'Sc", " NO_RELATION.", " COLLABORATOR", " NO_RELATION", " NO_RELATION. The text does not provide enough context to determine a relation between 'Sc", " NO_RELATION.", " NO_RELATION.", " NO_RELATION.", " NO_RELATION. The entities do not have a direct relation to each other in the text", " NO_RELATION.", " SENTENCE_LENGTH_DIFFERENCE_WITH_HEAD_ENTITY_IN_", " HELPED_BY", " SENTENCE_MENTIONED_IN_ARTICLE", " NO_RELATION. The entities do not have a direct relation in the text.", " SAID", " SENTENCE_MENTIONED_IN_NEWS_ARTEFACT", " NO_RELATION.", " APPROVED_BY", " SENTENCE_MENTIONED_IN_ARTICLE", " BOOKED_INTO", " NO_RELATION", " NO_RELATION", " NO_RELATION", " LOCATION_IN_ORGANIZATION", " NO_RELATION.", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " COLLABORATOR", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NEWS_ORGANIZATION_MENTIONED_IN_NEWS_ST", " NO_RELATION.", " NO_RELATION", " NO_RELATION.", " NO_RELATION", " WORKS_FOR", " NO_RELATION", " NO_RELATION.", " NO_RELATION", " NO_RELATION" ]
[ [ "0", "1", "GPE", "SURPRISE" ], [ "2", "3", "GPE", "Ariz." ], [ "5", "6", "GPE", "Surprise" ], [ "9", "10", "CARDINAL", "20" ], [ "19", "22", "DATE", "multi-month" ], [ "33", "35", "DATE", "March 9" ], [ "37", "39", "PERSON", "Robert Beckham" ], [ "40", "41", "DATE", "65" ], [ "45", "47", "DATE", "March 8" ], [ "53", "58", "ORG", "the United States Marshals Service" ], [ "69", "70", "CARDINAL", "20" ], [ "83", "86", "DATE", "multi-month" ], [ "88", "89", "PERSON", "Beckham" ], [ "95", "97", "ORG", "Surprise Police" ], [ "99", "101", "PERSON", "Tim Klarkowski" ], [ "103", "104", "PERSON", "Beckham" ], [ "106", "107", "CARDINAL", "hundreds" ], [ "139", "140", "GPE", "Surprise" ], [ "142", "144", "PERSON", "Benny Piña" ], [ "167", "168", "PERSON", "Beckham" ], [ "172", "174", "GPE", "Maricopa County" ], [ "178", "180", "ORG", "Scottsdale PD" ], [ "203", "205", "DATE", "50 years" ], [ "248", "251", "ORG", "FOX 10 Phoenix" ] ]
32,894
32,896
[ "Owning an older home presented myriad challenges. Plumbing was the first. Being city-suburb dwellers, such matters had always been invisible to us. Two toilets didn’t flush properly, and all the faucets leaked. We called Oracle’s one plumber, Delbert “Dub” Ragels, owner of Dub’s Plumbing. He showed up a couple days later. After greetings and a few niceties, he fixed the worst offending faucet and suggested that we’d better learn to change the washers ourselves or we’d soon run out of money.\n“This is Oracle,” he said with a grin, “but don’t get me wrong, I like the business.”\nRead the rest of the Episode 4 here: frankpierson.substack.com\nKaz and I moved to Oracle in 1979. The house we bought dated to the late 1940s. With little advance knowledge of the place, we set out to build a new life together, intending to settle in and raise a family." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Owning an older home presented myriad challenges. Plumbing was the first. Being city-suburb dwellers, such matters had always been invisible to us. Two toilets didn’t flush properly, and all the faucets leaked. We called Oracle’s one plumber, Delbert “Dub” Ragels, owner of Dub’s Plumbing. He showed up a couple days later. After greetings and a few niceties, he fixed the worst offending faucet and suggested that we’d better learn to change the washers ourselves or we’d soon run out of money.\n“This is Oracle,” he said with a grin, “but don’t get me wrong, I like the business.”\nRead the rest of the Episode 4 here: frankpierson.substack.com\nKaz and I moved to Oracle in 1979. The house we bought dated to the late 1940s. With little advance knowledge of the place, we set out to build a new life together, intending to settle in and raise a family.'] Entities: [{'head': ['28', '29', 'CARDINAL', 'Two'], 'tail': ['43', '44', 'ORG', 'Oracle']}] Relation:
[ [ { "head": [ "28", "29", "CARDINAL", "Two" ], "tail": [ "43", "44", "ORG", "Oracle" ] } ], [ { "head": [ "28", "29", "CARDINAL", "Two" ], "tail": [ "48", "53", "PERSON", "Delbert “Dub” Ragels" ] } ], [ { "head": [ "28", "29", "CARDINAL", "Two" ], "tail": [ "56", "59", "ORG", "Dub’s Plumbing" ] } ], [ { "head": [ "28", "29", "CARDINAL", "Two" ], "tail": [ "106", "107", "ORG", "Oracle" ] } ], [ { "head": [ "28", "29", "CARDINAL", "Two" ], "tail": [ "141", "142", "PERSON", "Kaz" ] } ], [ { "head": [ "28", "29", "CARDINAL", "Two" ], "tail": [ "146", "147", "ORG", "Oracle" ] } ], [ { "head": [ "43", "44", "ORG", "Oracle" ], "tail": [ "28", "29", "CARDINAL", "Two" ] } ], [ { "head": [ "43", "44", "ORG", "Oracle" ], "tail": [ "45", "46", "CARDINAL", "one" ] } ], [ { "head": [ "43", "44", "ORG", "Oracle" ], "tail": [ "48", "53", "PERSON", "Delbert “Dub” Ragels" ] } ], [ { "head": [ "43", "44", "ORG", "Oracle" ], "tail": [ "56", "59", "ORG", "Dub’s Plumbing" ] } ], [ { "head": [ "43", "44", "ORG", "Oracle" ], "tail": [ "63", "67", "DATE", "a couple days later" ] } ], [ { "head": [ "43", "44", "ORG", "Oracle" ], "tail": [ "106", "107", "ORG", "Oracle" ] } ], [ { "head": [ "43", "44", "ORG", "Oracle" ], "tail": [ "136", "137", "CARDINAL", "4" ] } ], [ { "head": [ "43", "44", "ORG", "Oracle" ], "tail": [ "141", "142", "PERSON", "Kaz" ] } ], [ { "head": [ "43", "44", "ORG", "Oracle" ], "tail": [ "146", "147", "ORG", "Oracle" ] } ], [ { "head": [ "43", "44", "ORG", "Oracle" ], "tail": [ "148", "149", "DATE", "1979" ] } ], [ { "head": [ "43", "44", "ORG", "Oracle" ], "tail": [ "156", "159", "DATE", "the late 1940s" ] } ], [ { "head": [ "45", "46", "CARDINAL", "one" ], "tail": [ "43", "44", "ORG", "Oracle" ] } ], [ { "head": [ "45", "46", "CARDINAL", "one" ], "tail": [ "48", "53", "PERSON", "Delbert “Dub” Ragels" ] } ], [ { "head": [ "45", "46", "CARDINAL", "one" ], "tail": [ "56", "59", "ORG", "Dub’s Plumbing" ] } ], [ { "head": [ "45", "46", "CARDINAL", "one" ], "tail": [ "106", "107", "ORG", "Oracle" ] } ], [ { "head": [ "45", "46", "CARDINAL", "one" ], "tail": [ "141", "142", "PERSON", "Kaz" ] } ], [ { "head": [ "45", "46", "CARDINAL", "one" ], "tail": [ "146", "147", "ORG", "Oracle" ] } ], [ { "head": [ "48", "53", "PERSON", "Delbert “Dub” Ragels" ], "tail": [ "28", "29", "CARDINAL", "Two" ] } ], [ { "head": [ "48", "53", "PERSON", "Delbert “Dub” Ragels" ], "tail": [ "43", "44", "ORG", "Oracle" ] } ], [ { "head": [ "48", "53", "PERSON", "Delbert “Dub” Ragels" ], "tail": [ "45", "46", "CARDINAL", "one" ] } ], [ { "head": [ "48", "53", "PERSON", "Delbert “Dub” Ragels" ], "tail": [ "56", "59", "ORG", "Dub’s Plumbing" ] } ], [ { "head": [ "48", "53", "PERSON", "Delbert “Dub” Ragels" ], "tail": [ "63", "67", "DATE", "a couple days later" ] } ], [ { "head": [ "48", "53", "PERSON", "Delbert “Dub” Ragels" ], "tail": [ "106", "107", "ORG", "Oracle" ] } ], [ { "head": [ "48", "53", "PERSON", "Delbert “Dub” Ragels" ], "tail": [ "136", "137", "CARDINAL", "4" ] } ], [ { "head": [ "48", "53", "PERSON", "Delbert “Dub” Ragels" ], "tail": [ "141", "142", "PERSON", "Kaz" ] } ], [ { "head": [ "48", "53", "PERSON", "Delbert “Dub” Ragels" ], "tail": [ "146", "147", "ORG", "Oracle" ] } ], [ { "head": [ "48", "53", "PERSON", "Delbert “Dub” Ragels" ], "tail": [ "148", "149", "DATE", "1979" ] } ], [ { "head": [ "48", "53", "PERSON", "Delbert “Dub” Ragels" ], "tail": [ "156", "159", "DATE", "the late 1940s" ] } ], [ { "head": [ "56", "59", "ORG", "Dub’s Plumbing" ], "tail": [ "28", "29", "CARDINAL", "Two" ] } ], [ { "head": [ "56", "59", "ORG", "Dub’s Plumbing" ], "tail": [ "43", "44", "ORG", "Oracle" ] } ], [ { "head": [ "56", "59", "ORG", "Dub’s Plumbing" ], "tail": [ "45", "46", "CARDINAL", "one" ] } ], [ { "head": [ "56", "59", "ORG", "Dub’s Plumbing" ], "tail": [ "48", "53", "PERSON", "Delbert “Dub” Ragels" ] } ], [ { "head": [ "56", "59", "ORG", "Dub’s Plumbing" ], "tail": [ "63", "67", "DATE", "a couple days later" ] } ], [ { "head": [ "56", "59", "ORG", "Dub’s Plumbing" ], "tail": [ "106", "107", "ORG", "Oracle" ] } ], [ { "head": [ "56", "59", "ORG", "Dub’s Plumbing" ], "tail": [ "136", "137", "CARDINAL", "4" ] } ], [ { "head": [ "56", "59", "ORG", "Dub’s Plumbing" ], "tail": [ "141", "142", "PERSON", "Kaz" ] } ], [ { "head": [ "56", "59", "ORG", "Dub’s Plumbing" ], "tail": [ "146", "147", "ORG", "Oracle" ] } ], [ { "head": [ "56", "59", "ORG", "Dub’s Plumbing" ], "tail": [ "148", "149", "DATE", "1979" ] } ], [ { "head": [ "56", "59", "ORG", "Dub’s Plumbing" ], "tail": [ "156", "159", "DATE", "the late 1940s" ] } ], [ { "head": [ "63", "67", "DATE", "a couple days later" ], "tail": [ "43", "44", "ORG", "Oracle" ] } ], [ { "head": [ "63", "67", "DATE", "a couple days later" ], "tail": [ "48", "53", "PERSON", "Delbert “Dub” Ragels" ] } ], [ { "head": [ "63", "67", "DATE", "a couple days later" ], "tail": [ "56", "59", "ORG", "Dub’s Plumbing" ] } ], [ { "head": [ "63", "67", "DATE", "a couple days later" ], "tail": [ "106", "107", "ORG", "Oracle" ] } ], [ { "head": [ "63", "67", "DATE", "a couple days later" ], "tail": [ "141", "142", "PERSON", "Kaz" ] } ], [ { "head": [ "63", "67", "DATE", "a couple days later" ], "tail": [ "146", "147", "ORG", "Oracle" ] } ], [ { "head": [ "106", "107", "ORG", "Oracle" ], "tail": [ "28", "29", "CARDINAL", "Two" ] } ], [ { "head": [ "106", "107", "ORG", "Oracle" ], "tail": [ "43", "44", "ORG", "Oracle" ] } ], [ { "head": [ "106", "107", "ORG", "Oracle" ], "tail": [ "45", "46", "CARDINAL", "one" ] } ], [ { "head": [ "106", "107", "ORG", "Oracle" ], "tail": [ "48", "53", "PERSON", "Delbert “Dub” Ragels" ] } ], [ { "head": [ "106", "107", "ORG", "Oracle" ], "tail": [ "56", "59", "ORG", "Dub’s Plumbing" ] } ], [ { "head": [ "106", "107", "ORG", "Oracle" ], "tail": [ "63", "67", "DATE", "a couple days later" ] } ], [ { "head": [ "106", "107", "ORG", "Oracle" ], "tail": [ "136", "137", "CARDINAL", "4" ] } ], [ { "head": [ "106", "107", "ORG", "Oracle" ], "tail": [ "141", "142", "PERSON", "Kaz" ] } ], [ { "head": [ "106", "107", "ORG", "Oracle" ], "tail": [ "146", "147", "ORG", "Oracle" ] } ], [ { "head": [ "106", "107", "ORG", "Oracle" ], "tail": [ "148", "149", "DATE", "1979" ] } ], [ { "head": [ "106", "107", "ORG", "Oracle" ], "tail": [ "156", "159", "DATE", "the late 1940s" ] } ], [ { "head": [ "136", "137", "CARDINAL", "4" ], "tail": [ "43", "44", "ORG", "Oracle" ] } ], [ { "head": [ "136", "137", "CARDINAL", "4" ], "tail": [ "48", "53", "PERSON", "Delbert “Dub” Ragels" ] } ], [ { "head": [ "136", "137", "CARDINAL", "4" ], "tail": [ "56", "59", "ORG", "Dub’s Plumbing" ] } ], [ { "head": [ "136", "137", "CARDINAL", "4" ], "tail": [ "106", "107", "ORG", "Oracle" ] } ], [ { "head": [ "136", "137", "CARDINAL", "4" ], "tail": [ "141", "142", "PERSON", "Kaz" ] } ], [ { "head": [ "136", "137", "CARDINAL", "4" ], "tail": [ "146", "147", "ORG", "Oracle" ] } ], [ { "head": [ "141", "142", "PERSON", "Kaz" ], "tail": [ "28", "29", "CARDINAL", "Two" ] } ], [ { "head": [ "141", "142", "PERSON", "Kaz" ], "tail": [ "43", "44", "ORG", "Oracle" ] } ], [ { "head": [ "141", "142", "PERSON", "Kaz" ], "tail": [ "45", "46", "CARDINAL", "one" ] } ], [ { "head": [ "141", "142", "PERSON", "Kaz" ], "tail": [ "48", "53", "PERSON", "Delbert “Dub” Ragels" ] } ], [ { "head": [ "141", "142", "PERSON", "Kaz" ], "tail": [ "56", "59", "ORG", "Dub’s Plumbing" ] } ], [ { "head": [ "141", "142", "PERSON", "Kaz" ], "tail": [ "63", "67", "DATE", "a couple days later" ] } ], [ { "head": [ "141", "142", "PERSON", "Kaz" ], "tail": [ "106", "107", "ORG", "Oracle" ] } ], [ { "head": [ "141", "142", "PERSON", "Kaz" ], "tail": [ "136", "137", "CARDINAL", "4" ] } ], [ { "head": [ "141", "142", "PERSON", "Kaz" ], "tail": [ "146", "147", "ORG", "Oracle" ] } ], [ { "head": [ "141", "142", "PERSON", "Kaz" ], "tail": [ "148", "149", "DATE", "1979" ] } ], [ { "head": [ "141", "142", "PERSON", "Kaz" ], "tail": [ "156", "159", "DATE", "the late 1940s" ] } ], [ { "head": [ "146", "147", "ORG", "Oracle" ], "tail": [ "28", "29", "CARDINAL", "Two" ] } ], [ { "head": [ "146", "147", "ORG", "Oracle" ], "tail": [ "43", "44", "ORG", "Oracle" ] } ], [ { "head": [ "146", "147", "ORG", "Oracle" ], "tail": [ "45", "46", "CARDINAL", "one" ] } ], [ { "head": [ "146", "147", "ORG", "Oracle" ], "tail": [ "48", "53", "PERSON", "Delbert “Dub” Ragels" ] } ], [ { "head": [ "146", "147", "ORG", "Oracle" ], "tail": [ "56", "59", "ORG", "Dub’s Plumbing" ] } ], [ { "head": [ "146", "147", "ORG", "Oracle" ], "tail": [ "63", "67", "DATE", "a couple days later" ] } ], [ { "head": [ "146", "147", "ORG", "Oracle" ], "tail": [ "106", "107", "ORG", "Oracle" ] } ], [ { "head": [ "146", "147", "ORG", "Oracle" ], "tail": [ "136", "137", "CARDINAL", "4" ] } ], [ { "head": [ "146", "147", "ORG", "Oracle" ], "tail": [ "141", "142", "PERSON", "Kaz" ] } ], [ { "head": [ "146", "147", "ORG", "Oracle" ], "tail": [ "148", "149", "DATE", "1979" ] } ], [ { "head": [ "146", "147", "ORG", "Oracle" ], "tail": [ "156", "159", "DATE", "the late 1940s" ] } ], [ { "head": [ "148", "149", "DATE", "1979" ], "tail": [ "43", "44", "ORG", "Oracle" ] } ], [ { "head": [ "148", "149", "DATE", "1979" ], "tail": [ "48", "53", "PERSON", "Delbert “Dub” Ragels" ] } ], [ { "head": [ "148", "149", "DATE", "1979" ], "tail": [ "56", "59", "ORG", "Dub’s Plumbing" ] } ], [ { "head": [ "148", "149", "DATE", "1979" ], "tail": [ "106", "107", "ORG", "Oracle" ] } ], [ { "head": [ "148", "149", "DATE", "1979" ], "tail": [ "141", "142", "PERSON", "Kaz" ] } ], [ { "head": [ "148", "149", "DATE", "1979" ], "tail": [ "146", "147", "ORG", "Oracle" ] } ], [ { "head": [ "156", "159", "DATE", "the late 1940s" ], "tail": [ "43", "44", "ORG", "Oracle" ] } ], [ { "head": [ "156", "159", "DATE", "the late 1940s" ], "tail": [ "48", "53", "PERSON", "Delbert “Dub” Ragels" ] } ], [ { "head": [ "156", "159", "DATE", "the late 1940s" ], "tail": [ "56", "59", "ORG", "Dub’s Plumbing" ] } ], [ { "head": [ "156", "159", "DATE", "the late 1940s" ], "tail": [ "106", "107", "ORG", "Oracle" ] } ], [ { "head": [ "156", "159", "DATE", "the late 1940s" ], "tail": [ "141", "142", "PERSON", "Kaz" ] } ], [ { "head": [ "156", "159", "DATE", "the late 1940s" ], "tail": [ "146", "147", "ORG", "Oracle" ] } ] ]
[ " LOCATION_OF", " OWNER_OF", " OWNED_BY", " LIVES_IN", " LIVED_IN.", " LIVES_IN", " LIVES_IN", " LIVES_IN", " OWNER_OF", " LOCATION_OF\n or\n OWNED_BY\n\n Ex", " LOCATION_OF\n OR\n SERVICE_PROVIDED_AT\n", " LOCATION", " LIVES_IN", " LIVED_IN", " LOCATION", " LOCATION_FROM_YEAR", " LOCATION_OF\n Oracle is the location of the late 194", " LIVES_IN", " OWNER_OF", " OWNED_BY", " LIVES_IN", " MOVED_WITH_INTENT_TO_SETTLE", " LIVES_IN", " OWNER_OF\n\n Explanation:\n Delbert \"Dub", " OWNER", " OWNER", " OWNER", " APPEARS_AFTER", " OWNER", " OWNER", " OWNER_OF", " OWNER", " MOVED_TO\n\n Explanation:\n The text states that Delbert", " OWNED_BY", " OWNED_BY", " LOCATION_OF", " OWNED_BY", " OWNED_BY", " SERVICES_PERFORMED_AT_TIME", " LOCATION_OF\n or\n BELONGS_TO\n or", " OWNED_BY", " CLIENT_OF", " LOCATION_OF\n or\n HEAD_QUARTERS_OF\n", " LOCATION_AT. The text states that the speakers moved to Oracle in 19", " OWNED_BY", " LOCATION_OF\n\n Explanation:\n The text describes how the", " WAS_EMPLOYED_BY", " OWNED_BY", " LOCATION_OF\n\n Explanation:\n The text describes how the", " WAITED_FOR", " LOCATION_OF\n OR\n SERVES_LOCATION\n (", " LIVES_IN", " LOCATION_IN_LOCATION", " LIVES_IN", " OWNER_OF", " LOCATION_OF\n or\n OWNED_BY\n\n Ex", " LIVES_IN", " LIVES_IN", " LIVED_IN", " LOCATION_OF\n or\n BELONGS_TO\n or", " LOCATION_FROM_YEAR", " LOCATED_IN.", " LIVES_IN", " OWNER", " OWNED_BY", " LIVES_IN", " MOVED_TO_LOCATION", " LIVES_IN", " LIVED_IN_PREVIOUS_LOCATION_WITH_CARDIN", " LIVES_IN", " MOVED_TO\n\n Entities: \n [{'head': ['1", " HAS_OWNER", " OWNED_BY", " WAITED_FOR", " LIVES_IN", " MOVED_TO", " LIVES_IN", " MOVED_TO", " LIVED_IN_TIME_PERIOD", " LIVES_IN", " LOCATION_OF\n or\n BELONGS_TO\n or", " LIVES_IN", " OWNER_OF", " LOCATION_OF\n or\n OWNED_BY\n\n Ex", " LIVES_IN", " LOCATION_OF\n or\n BELONGS_TO\n or", " LIVES_IN", " LIVED_IN", " LOCATION_FROM_YEAR", " LOCATED_IN.", " MOVED_TO", " OWNER_OF", " LIVED_IN\n\n Explanation:\n The text mentions that", " MOVED_TO", " MOVED_TO", " MOVED_TO", " LOCATION_IN.", " OWNED_BY", " OWNED_BY", " LOCATION_IN.", " LIVED_IN", " LOCATION_OF\n\n Explanation:\n The text describes Kaz and" ]
[ [ "28", "29", "CARDINAL", "Two" ], [ "43", "44", "ORG", "Oracle" ], [ "45", "46", "CARDINAL", "one" ], [ "48", "53", "PERSON", "Delbert “Dub” Ragels" ], [ "56", "59", "ORG", "Dub’s Plumbing" ], [ "63", "67", "DATE", "a couple days later" ], [ "106", "107", "ORG", "Oracle" ], [ "136", "137", "CARDINAL", "4" ], [ "141", "142", "PERSON", "Kaz" ], [ "146", "147", "ORG", "Oracle" ], [ "148", "149", "DATE", "1979" ], [ "156", "159", "DATE", "the late 1940s" ] ]
32,895
32,897
[ "Amani M’Bale represents the Bill & Melinda Gates Foundation as an observer\nAmani leads the Inclusive Financial Systems (IFS) East Africa portfolio (Kenya, Uganda, Tanzania) and has over 20 years of international development experience in Africa.\nPrior to joining the Bill and Melinda Gates Foundation, Amani worked with USAID’s Bureau for Global Health, advancing Digital Financial Services and Digital Development as a Senior Digital Health Systems and Digital Financial Services Advisor. Preceding work with the United States government, Amani was the Chief Technical Advisor for Financial Inclusion with the United Nations Capital Development Fund in Rwanda, Liberia, and Uganda. In Uganda Amani launched the Mobile Money for the Poor Program, establishing partnerships in government (Bank of Uganda, Ministry of Finance, Telecommunications Ministry, etc.) and the private sector which led to innovation in the diffusion of digital financial services among rural and agricultural populations. Before UNCDF, Amani worked with a number of INGOs including Catholic Relief Services, CARE International and the International Rescue Committee, consistently in financial inclusion advisory and program management roles in Benin, Zimbabwe, Mali, Sierra Leone, and throughout East Africa.\nAmani holds a Bachelor of Arts from New York University, a Master of International Affairs from Columbia University, and a Master of Business Administration from IE Business School. Amani is a certified Digital Money practitioner, speaks conversational Swahili and is fluent in French.\nShe has authored several publications, including “Digitizing Agricultural Payments: Uganda’s Coffee Value Chain” (CGAP) and “The Role of Digital Financial Services in Accelerating USAID’s Health Goals” (USAID) and has presented on financial inclusion related topics at multiple conferences." ]
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mistralai/Mistral-7B-Instruct-v0.2
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"head": [ "302", "303", "ORG", "USAID" ], "tail": [ "58", "59", "ORG", "USAID" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "60", "64", "ORG", "Bureau for Global Health" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "66", "69", "ORG", "Digital Financial Services" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "88", "90", "GPE", "United States" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "92", "93", "PERSON", "Amani" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "102", "108", "ORG", "the United Nations Capital Development Fund" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "109", "110", "GPE", "Rwanda" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "111", "112", "GPE", "Liberia" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "114", "115", "GPE", "Uganda" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "117", "118", "GPE", "Uganda" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "118", "119", "PERSON", "Amani" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "120", "127", "ORG", "the Mobile Money for the Poor Program" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "133", "136", "ORG", "Bank of Uganda" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "137", "140", "ORG", "Ministry of Finance" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "141", "143", "ORG", "Telecommunications Ministry" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "169", "170", "ORG", "UNCDF" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "171", "172", "PERSON", "Amani" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "179", "182", "ORG", "Catholic Relief Services" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "183", "185", "ORG", "CARE International" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "186", "190", "ORG", "the International Rescue Committee" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "201", "202", "GPE", "Benin" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "203", "204", "GPE", "Zimbabwe" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "205", "206", "GPE", "Mali" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "207", "209", "GPE", "Sierra Leone" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "212", "214", "GPE", "East Africa" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "216", "217", "PERSON", "Amani" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "218", "222", "WORK_OF_ART", "a Bachelor of Arts" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "223", "226", "ORG", "New York University" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "227", "232", "WORK_OF_ART", "a Master of International Affairs" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "233", "235", "ORG", "Columbia University" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "237", "242", "WORK_OF_ART", "a Master of Business Administration" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "243", "246", "ORG", "IE Business School" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "247", "248", "PERSON", "Amani" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "257", "258", "LANGUAGE", "Swahili" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "262", "263", "LANGUAGE", "French" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "273", "282", "WORK_OF_ART", "Digitizing Agricultural Payments: Uganda’s Coffee Value Chain" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "284", "285", "ORG", "CGAP" ] } ], [ { "head": [ "302", "303", "ORG", "USAID" ], "tail": [ "288", "300", "WORK_OF_ART", "The Role of Digital Financial Services in Accelerating USAID’s Health Goals" ] } ] ]
[ " REPresents", " SELF.", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LAUNCHED", " LEADS_PORTFOLIO", " HAS_EXPERIENCE", " HAS_EXPERIENCE_IN", " REPresents", " SELF_REFERENCE", " PRECEEDING_WORK_WITH", " ADVISOR_OF", " ADVISOR", " PREVIOUSLY_WORKED_FOR", " SELF_REFERENCE", " CHIEF_TECHNICAL_ADVISOR", " CHIEF_TECHNICAL_ADVISOR_FOR.", " WORKED_IN.", " LAUNCHED", " LAUNCHED", " SELF.", " LAUNCHED", " PART_OF\n\n Explanation:\n Amani M’Bale", " LEADS_GOVERNMENT", " ESTABLISHED_PARTNERSHIPS", " WORKED_FOR", " SELF.", " WORKED_FOR", " CONSULTED_FOR\n OR:\n WORKED_FOR\n ", " WORKED_FOR", " WORKED_FOR\n\n Entities: \n [{'head': ['", " WORKED_IN. This is the correct relation label. The head entity 'Aman", " CONSIDERED_WORK_IN.", " WORKED_IN.", " LEADS_PORTFOLIO", " SELF_REFERENCE", " EDUCATION", " EDUCATED_AT", " EDUCATION", " EDUCATED_AT", " EDUCATION", " EDUCATION", " SELF_REFERENCE", " SPEAKS_LANGUAGE", " FLUENT_IN", " AUTHOR", " AUTHORED", " AUTHOR", " PREVIOUS_EMPLOYER", " REPresents", " REPresents", " REPresents", " LEADS_PORTFOLIO", " OBSERVERS", " OBSERVER_OF", " The Bill & Melinda Gates Foundation represents/observes Tanzania in the Inclusive", " EXPERIENCE_WITH_ORGANIZATION", " REPRESENTS_REGION", " REPRESENTS", " REPresents", " PAST_EMPLOYER", " PREVIOUS_EMPLOYER", " OBSERVER_OF", " OBSERVER_OF", " REPresents", " OBSERVER_OF", " Amani worked with the United Nations Capital Development Fund in Rwanda.", " NO_RELATION.", " OBSERVER_OF", " OBSERVER_OF", " REPresents", " OBSERVER_OF", " OBSERVER_OF", " OBSERVER_OF", " PART_OF\n\n Explanation:\n Amani leads the Inclusive", " OBSERVER_OF", " REPresents", " PAST_EMPLOYER", " PAST_EMPLOYER", " PREVIOUS_EMPLOYER", " NO_RELATION.\n The text does not provide enough context to establish a relation between", " NO_RELATION.", " NO_RELATION.", " NO_RELATION.", " REPresents_ORG_OF_GPE", " REPresents", " EDUCATION\n\n Explanation:\n Amani M’B", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n Amani M’B", " EDUCATION\n\n Explanation:\n Amani attended Columbia University", " EDUCATION\n\n Explanation:\n Amani M’B", " EDUCATION", " REPresents", " NO_RELATION", " Amani speaks French (NO_RELATION)", " PUBLISHED_WORK", " PUBLISHED_BY", " AUTHOR_OF", " PAST_EMPLOYER", " SELF_REFERENCE", " REPresents", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LAUNCHED", " LEADS_PORTFOLIO", " HAS_EXPERIENCE", " HAS_REGIONAL_EXPERIENCE_IN", " REPresents", " SELF_REFERENCE", " PRECEEDING_WORK", " ADVISOR_OF", " ADVISOR", " PREVIOUS_EMPLOYER", " SELF.", " CHIEF_TECHNICAL_ADVISOR", " CHIEF_TECHNICAL_ADVISOR", " WORKED_IN.", " LAUNCHED", " LAUNCHED", " SELF", " LAUNCHED", " PART_OF\n\n Explanation:\n Amani led the launch of", " LEADS_GOVERNMENT_AGENCY", " ESTABLISHED_PARTNERSHIP", " WORKED_FOR", " SELF_REFERENCE", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR\n\n Entities: \n [{'head': ['", " WORKED_IN.", " WORKED_IN. In the context, Amani worked in financial inclusion advisory", " WORKED_IN.", " LEADS_PORTFOLIO", " SELF_REFERENCE", " EDUCATION", " EDUCATED_AT", " EDUCATION", " EDUCATION\n\n Explanation:\n Amani holds a Master", " EDUCATION", " EDUCATION", " SELF.", " SPEAKS_LANGUAGE", " FLUENT_IN", " AUTHOR_OF", " AUTHOR", " AUTHOR", " PRECEEDING_WORK", " LEADS", " REPresents", " LEADS", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " HAS_EXPERIENCE", " LEADS_IN\n\n Explanation:\n Amani leads the", " REPresents", " LEADS", " PAST_EMPLOYER", " PREVIOUS_EMPLOYER", " LEADS_PORTFOLIO", " REPRESENTS", " LEADS", " PAST_EMPLOYER", " LAUNCHED", " NO_RELATION. Amani worked in Liberia with UNCDF, but there", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LEADS", " LAUNCHED", " PART_OF", " PART_OF", " ESTABLISHED_PARTNERSHIPS", " PAST_EMPLOYER", " LEADS", " PAST_EMPLOYER", " PAST_EMPLOYER", " PREVIOUS_WORK_FOR.", " IN_COUNTRY", " IF_PROGRAM_IN_COUNTRY", " IF_ADVISORY", " IF_PROGRAM_IN_COUNTRY", " LEADS_PORTFOLIO", " LEADS", " EDUCATION", " EDUCATION", " EDUCATION", " EDUCATION", " EDUCATION", " EDUCATION", " LEADS", " SPEAKS_LANGUAGE", " NO_RELATION.", " PUBLISHED_WORK", " AUTHORED", " AUTHOR_OF", " PAST_EMPLOYER", " LEADS_PORTFOLIO", " REPresents", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " PORTFOLIO_CONTAINS", " PORTFOLIO_SIZE", " REGION_IN_REGION", " REPresents", " LEADS_PORTFOLIO", " PREVIOUS_EMPLOYER", " PREVIOUS_WORK\n\n Explanation:\n Amani", " LEADS_PORTFOLIO", " REPRESENTS_ORGANIZATION_OF_HEAD_IN_REGION", " LEADS_PORTFOLIO", " CHIEF_TECHNICAL_ADVISOR", " LAUNCHED_PROGRAM_IN.", " NO_RELATION.", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LAUNCHED", " PART_OF", " GOVERNMENT.\n\n Explanation:\n The text states that A", " PART_OF", " PREVIOUS_WORK_FOR.", " LEADS_PORTFOLIO", " ADVISORY_ROLE", " CONSULTED_FOR\n or\n ADVISORY_ROLE\n ", " WORKED_FOR", " NO_RELATION.", " NO_RELATION.", " IF_PROGRAM_IN_REGION", " IN_REGION", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " EDUCATION", " EDUCATION", " EDUCATION", " EDUCATION\n\n Explanation:\n Amani has a Master", " EDUCATION", " EDUCATION", " LEADS_PORTFOLIO", " SPEAKS_LANGUAGE", " LEADS_PROGRAM_FOR\n\n Explanation:\n A", " WRITTEN_BY", " AUTHORED", " WRITTEN_BY", " ADVISOR_OF", " REPRESENTS", " REPresents", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " COUNTRY_PART_OF\n OR\n LOCATION_PART_OF", " PORTFOLIO_COUNTRY", " HAS_EXPERIENCE", " LEADS_IN\n\n Explanation:\n Amani leads the", " REPresents", " REPRESENTS.", " PREVIOUS_EMPLOYER", " PRECEEDED_BY", " LEADS_PORTFOLIO", " REPRESENTS", " REPRESENTS", " CHIEF_TECHNICAL_ADVISOR", " PREVIOUS_WORK_IN.", " NO_RELATION.", " COVERS\n\n Explanation:\n Amani leads the Inclusive", " COVERS\n\n Explanation:\n Amani leads the Inclusive", " REPRESENTS", " LAUNCHED", " PART_OF", " LEADS. This is because Amani leads the Inclusive Financial Systems (IFS", " ESTABLISHED_PARTNERSHIP", " WORKED_FOR", " LEADS", " WORKED_FOR", " CONSULTED_FOR\n or\n ADVISOR_FOR\n or", " WORKED_FOR", " NO_RELATION.", " NO_RELATION.", " NO_RELATION.", " NO_RELATION. The text does not provide enough context to establish a relation between 'K", " LEADS_PORTFOLIO", " REPRESENTS.", " EDUCATION\n\n Explanation:\n Amani holds a Bachelor", " EDUCATED_AT", " EDUCATION", " EDUCATED_AT", " EDUCATION", " EDUCATION\n\n Explanation:\n Amani holds a Master", " REPRESENTS", " SPEAKS_LANGUAGE", " NO_RELATION.", " PUBLISHED_WORK", " AUTHORED_PUBLICATION", " AUTHOR_OF_WORK", " ADVISOR_OF", " LEADS", " REPresents", " LEADS", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " PORTFOLIO_COUNTRY", " EXPERIENCE_WITH_DURATION", " CONTAINS_REGION", " REPresents", " LEADS", " PREVIOUS_EMPLOYER", " ADVISOR_OF", " LAUNCHED", " WORKED_FOR\n\n Explanation:\n Amani worked for", " LEADS", " CHIEF_TECHNICAL_ADVISOR", " PRECEEDED_BY", " PREVIOUS_WORK\n\n Explanation:\n Amani", " LAUNCHED", " LAUNCHED", " LEADS", " LAUNCHED", " PART_OF", " LEADS_GOVERNMENT_AGENCY", " ESTABLISHED_PARTNERSHIP", " CHIEF_TECHNICAL_ADVISOR", " LEADS", " WORKED_FOR", " ADVISORY_ROLE", " WORKED_FOR", " NO_RELATION.", " NO_RELATION.", " NO_RELATION.", " WORKED_IN. Preceding work with the United States government, Amani", " LEADS_PORTFOLIO", " LEADS", " EDUCATION\n\n Explanation:\n Amani holds a Bachelor", " EDUCATION", " EDUCATION", " EDUCATED_AT", " EDUCATION", " EDUCATION", " LEADS", " SPEAKS_LANGUAGE", " FLUENT_IN", " PUBLISHED_WORK", " AUTHORED_PUBLICATION", " AUTHOR_OF", " PRECEEDING_WORK", " LEADS_PORTFOLIO", " REPRESENTS", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " IF_PROGRAM_IN_COUNTRY", " IF_PROGRAM_IN_COUNTRY", " EXPERIENCE_WITH_DURATION", " IF_REGION\n\n Explanation:\n The text states that Amani", " REPRESENTS", " LEADS_PORTFOLIO", " PREVIOUS_EMPLOYER", " ADVISOR_OF", " LEADS_PORTFOLIO", " OBSERVER_OF", " LEADS_PORTFOLIO", " CHIEF_TECHNICAL_ADVISOR", " PREVIOUS_WORK_LOCATIONS", " NO_RELATION.", " PORTFOLIO_COUNTRY", " IF_PROGRAM_IN_COUNTRY", " LEADS_PORTFOLIO", " LAUNCHED", " GOVERNMENT_AGENCY_OF. (The Bank of Uganda is", " LEADS_GOVERNMENT_AGENCY", " PART_OF", " WORKED_FOR", " LEADS_PORTFOLIO", " WORKED_FOR", " CONSIDERED_FOR_ROLE\n or\n WORKED_", " WORKED_FOR", " NO_RELATION.", " NO_RELATION.", " NO_RELATION.", " NO_RELATION.", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " NO_RELATION.", " EDUCATION", " EDUCATION", " EDUCATION\n\n Explanation:\n Amani attended Columbia University", " NO_RELATION.", " EDUCATION\n\n Explanation:\n Amani holds a Master", " LEADS_PORTFOLIO", " NO_RELATION.", " NO_RELATION.", " PUBLISHED_WORK", " AUTHORED_PUBLICATION", " WRITTEN_BY", " PREVIOUS_EMPLOYER", " HAS_EXPERIENCE", " REPRESENTS", " HAS_EXPERIENCE", " HAS_EXPERIENCE", " EXPERIENCE_IN.", " EXPERIENCE_IN.", " HAS_EXPERIENCE_IN", " HAS_EXPERIENCE_IN", " EXPERIENCE_IN.", " WORKED_FOR", " HAS_EXPERIENCE", " WORKED_FOR", " ADVISOR_OF", " HAS_EXPERIENCE", " PAST_WORKED_FOR", " HAS_EXPERIENCE", " PREVIOUS_WORK\n\n Explanation:\n Amani", " WORKED_IN.", " WORKED_IN.", " HAS_EXPERIENCE_IN", " HAS_EXPERIENCE_IN", " HAS_EXPERIENCE", " LAUNCHED", " PART_OF", " HAS_WORKED_FOR", " PART_OF", " WORKED_FOR", " HAS_EXPERIENCE", " WORKED_FOR", " ADVISORY_ROLE", " HAS_WORKED_FOR", " INTERNATIONAL_DEVELOPMENT_EXPERIENCE", " WORKED_IN.", " INTERNATIONAL_DEVELOPMENT_EXPERIENCE", " IN_COUNTRY_FOR\n\n Explanation:\n Amani", " LEADS_PORTFOLIO", " HAS_EXPERIENCE", " EDUCATION", " EDUCATION", " EDUCATION", " HAS_EXPERIENCE", " AUTHORED", " PREVIOUS_EMPLOYER", " REPRESENTS", " REPresents", " LEADS_PROGRAM_IN_REGION", " LEADS_PORTFOLIO", " INCLUDES\n\n Explanation:\n Amani leads the Incl", " LEADS_PORTFOLIO_IN_REGION", " LEADS_IN_REGION", " IF_REGION \n or \n IN_REGION \n or \n", " EXPERIENCE_WITH_DURATION", " REPresents", " LEADS_IN_REGION", " PREVIOUS_EMPLOYER", " ADVISOR_OF", " INITIATED_PROGRAM", " REPRESENTS_ORGANIZATION_OF_HEAD_IN_LOC", " LEADS_IN_REGION", " CHIEF_TECHNICAL_ADVISOR", " WORKED_IN.", " WORKED_IN. In the context, Amani worked with the United Nations Capital", " IN_COUNTRY", " IN_REGION", " LEADS_PROGRAM_IN_REGION", " LAUNCHED", " PART_OF", " GOVERNMENT.\n\n Explanation:\n Amani has worked", " ESTABLISHED_PARTNERSHIP", " WORKED_FOR", " LEADS_PROGRAM_IN_REGION", " WORKED_FOR", " CONSULTED_FOR\n or\n WORKED_FOR\n or", " WORKED_FOR", " WORKED_IN. In the context of the text, 'Amani' worked", " IN_COUNTRY", " IN_COUNTRY", " WORKED_IN. In the context, Amani worked in Sierra Leone with", " LEADS_PORTFOLIO", " LEADS_PROGRAM_IN_REGION", " EDUCATION", " EDUCATED_AT", " EDUCATION", " EDUCATED_AT", " EDUCATION", " EDUCATION", " LEADS_PROGRAM_IN_REGION", " SPEAKS_LANGUAGE", " FLUENT_IN", " WRITTEN_BY", " AUTHORED", " WRITTEN_BY", " PREVIOUS_EMPLOYER", " REPresents", " OBSERVER_OF", " REPresents", " REPresents", " LEADS_PORTFOLIO", " OBSERVERS", " OBSERVER_OF", " OBSERVER_OF", " EXPERIENCE_WITH_DURATION", " REPRESENTS_REGION", " REPresents", " OBSERVER_OF", " PREVIOUS_EMPLOYER", " REPresents\n\n Explanation:\n Amani M’Bale", " OBSERVER_OF", " REPresents", " OBSERVER_OF", " Amani worked with the United Nations Capital Development Fund in Rwanda.", " Amani worked with the United Nations Capital Development Fund in Liberia.\n\n Therefore", " OBSERVER_OF", " OBSERVER_OF", " REPresents", " OBSERVER_OF", " OBSERVER_OF", " OBSERVER_OF", " PART_OF\n\n Explanation:\n Amani leads the Inclusive", " PREVIOUS_EMPLOYER", " REPresents", " PAST_EMPLOYER", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " NO_RELATION.", " NO_RELATION.", " NO_RELATION.", " NO_RELATION.", " REPresents_ORG_OF\n\n Explanation:\n Aman", " REPresents", " EDUCATION\n\n Explanation:\n Amani holds a Bachelor", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n Amani M’B", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n Amani received her Master", " EDUCATION", " REPresents", " NO_RELATION", " Amani speaks French (NO_RELATION)", " PUBLISHED_WORK", " PUBLISHED_BY", " AUTHOR_OF", " PAST_EMPLOYER", " SELF_REFERENCE", " REPresents", " SELF_REFERENCE", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LAUNCHED", " LEADS_PORTFOLIO", " HAS_EXPERIENCE", " HAS_WORKED_IN\n\n Explanation:\n Amani", " REPresents", " PRECEEDING_WORK", " ADVISOR", " ADVISOR", " PREVIOUSLY_WORKED_FOR", " SELF_REFERENCE", " CHIEF_TECHNICAL_ADVISOR", " CHIEF_TECHNICAL_ADVISOR", " WORKED_IN.", " LAUNCHED", " LAUNCHED", " SELF_REFERENCE", " LAUNCHED", " PART_OF\n\n Explanation:\n Amani led the launch of", " LEADS_GOVERNMENT", " ESTABLISHED_PARTNERSHIP", " WORKED_FOR", " SELF_REFERENCE", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR\n\n Entities: \n [{'head': ['", " WORKED_IN.", " WORKED_IN. In the context, Amani worked in financial inclusion advisory", " WORKED_IN.", " LEADS_PORTFOLIO", " SELF_REFERENCE", " EDUCATION", " EDUCATED_AT", " EDUCATION", " EDUCATED_AT", " EDUCATION", " EDUCATION", " SELF_REFERENCE", " SPEAKS_LANGUAGE", " FLUENT_IN", " AUTHOR_OF", " AUTHOR", " AUTHOR_OF", " PRECEEDING_WORK", " PRECEEDING_WORK_WITH.", " PRECEDED_BY", " ADVISED_BY", " ADVISOR", " ADVISED_IN_LOCATION", " ADVISED_BY", " ADVISED_BY", " ADVISED_BY", " PAST_EXPERIENCE", " ADVISORY_ROLE_IN_REGION", " PRECEEDED_BY", " ADVISED_BY", " ADVISOR_OF", " ADVISED_BY", " PREVIOUSLY_WORKED_FOR", " ADVISED_BY", " PRECEEDING_WORK.", " PRECEEDING_WORK.", " PRECEEDING_WORK.", " ADVISED_BY", " ADVISED_BY", " ADVISOR", " ADVISED_BY", " PARTNERSHIP", " ADVISOR_OF", " ESTABLISHED_PARTNERSHIP", " PRECEEDING_WORK.", " ADVISOR", " PRECEEDING_WORK", " PRECEEDING_WORK", " PRECEEDING_WORK", " ADVISORY_ROLE", " PRECEEDING_WORK", " 'ADVISORY_ROLE'", " WORKED_FOR", " ADVISORY_ROLE", " ADVISOR", " EDUCATION\n\n Explanation:\n Amani worked with USA", " EDUCATION", " ADVISOR_OF", " ADVISOR_OF", " PRIOR_WORK", " EDUCATION", " ADVISED_BY", " SPEAKS_LANGUAGE", " NO_RELATION", " AUTHOR_OF", " AUTHORED_PUBLICATION", " PUBLISHED_WORK", " ADVISED_BY", " ADVISOR", " ADVISOR_OF", " ADVISED_BY", " ADVISED_BY", " ADVISED_IN_LOCATION", " ADVISED_BY", " ADVISED_BY", " ADVISED_BY", " ADVISOR_FOR_DURATION", " ADVISED_IN\n\n Explanation:\n Amani worked with", " ADVISOR_OF", " ADVISED_BY", " ADVISOR_OF", " ADVISED_BY", " ADVISOR_OF", " ADVISOR", " PRECEEDING_WORK_WITH.", " ADVISED_BY", " ADVISED_BY", " ADVISED_BY", " ADVISED_BY", " ADVISED_BY", " ADVISED_PROGRAM", " ADVISED_BY", " ADVISED_BY", " PARTNERSHIP", " PRECEEDING_WORK_WITH.", " ADVISED_BY", " PRECEEDING_WORK", " ADVISOR_OF", " PRECEEDING_WORK", " ADVISED_BY", " ADVISED_BY", " ADVISOR_OF", " ADVISED_BY", " ADVISED_BY", " ADVISED_BY", " EDUCATION\n\n Explanation:\n Amani worked with USA", " PREVIOUS_EMPLOYER", " ADVISOR_OF", " ADVISOR_OF", " ADVISOR_OF", " PRIOR_EMPLOYER_EMPLOYEE", " ADVISED_BY", " NO_RELATION", " NO_RELATION", " ADVISED_ON_PUBLICATION", " ADVISOR_OF", " ADVISED_BY", " ADVISED_BY", " REPRESENTS", " OBSERVERS", " ADVISOR", " PROVIDES_SERVICE", " LEADS_PORTFOLIO", " SERVES_IN_PORTFOLIO", " DIFFUSION", " SERVES_IN_PORTFOLIO", " HAS_EXPERIENCE", " SERVES_REGION", " REPresents", " LEADS_PROGRAM\n\n Explanation:\n Amani", " ADVISOR", " ADVISOR", " ADVISOR_OF", " LEADS_PROGRAM\n\n Explanation:\n Amani", " PREVIOUS_WORK_FOR.", " LAUNCHED", " PREVIOUS_WORK\n\n Explanation:\n Amani", " DIFFUSION", " DIFFUSION", " LEADS", " ESTABLISHED_PROGRAM", " ESTABLISHED_PARTNERSHIP", " PART_OF", " ESTABLISHED_PARTNERSHIPS", " PREVIOUS_WORK_FOR.", " LEADS", " ADVISORY_ROLE", " CONSULTED_FOR\n or\n ADVISORY_ROLE\n ", " PREVIOUS_WORK_AT.", " CONSULTED_FOR\n\n Explanation:\n Amani worked", " IN_COUNTRY", " INVOLVED_IN", " CONSULTED_IN.", " LEADS_PORTFOLIO", " LEADS_PROGRAM", " EDUCATION", " EDUCATION", " EDUCATION", " EDUCATION", " EDUCATION", " EDUCATION", " LEADS_PROGRAM", " NO_RELATION.", " NO_RELATION", " PUBLISHED_WORK", " AUTHORED", " WRITTEN_BY", " ADVISOR", " WORKED_FOR", " REPresents", " WORKED_FOR", " REPRESENTS", " REPRESENTS_ORGANIZATION_IN_REGION", " Amani worked with USAID in the United States, leading the Inclusive Financial Systems (", " ADVISOR_OF", " REPRESENTS_ORGANIZATION_IN_COUNTRY", " EXPERIENCE_WITH_ORGANIZATION", " INTERNATIONAL_DEVELOPMENT\n\n Explanation:\n ", " REPresents", " WORKED_FOR", " ADVISOR", " ADVISOR_OF", " ADVISOR", " WORKED_FOR", " PRECEEDING_WORK.", " WORKED_FOR\n\n Explanation:\n The text states that \"", " Amani worked with the United States government in Liberia.\n\n Therefore, the", " ADVISOR_OF", " ADVISOR_OF", " WORKED_FOR", " LAUNCHED", " PART_OF", " PART_OF", " PART_OF", " PRECEEDING_WORK.", " WORKED_FOR", " WORKED_FOR", " PRECEEDING_WORK", " WORKED_FOR", " NO_RELATION.", " PREVIOING_WORK\n\n Explanation:\n Amani", " NO_RELATION.", " WORKED_FOR\n\n Explanation:\n The text states that \"", " REPRESENTS", " WORKED_FOR", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATION", " WORKED_FOR", " NO_RELATION", " NO_RELATION", " AUTHOR_OF\n\n Entities: \n [{'head': ['2", " AUTHORED", " WRITTEN_BY", " ADVISOR_OF", " SELF_REFERENCE", " REPresents", " SELF_REFERENCE", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LAUNCHED", " LEADS_PORTFOLIO", " HAS_EXPERIENCE", " HAS_EXPERIENCE_IN", " REPresents", " SELF_REFERENCE", " PRECEEDING_WORK", " ADVISOR", " ADVISOR", " PREVIOUS_EMPLOYER", " CHIEF_TECHNICAL_ADVISOR", " CHIEF_TECHNICAL_ADVISOR", " WORKED_IN.", " LAUNCHED", " LAUNCHED", " SELF_REFERENCE", " LAUNCHED", " PART_OF\n\n Explanation:\n Amani led the launch of", " LEADS_GOVERNMENT_AGENCY", " ESTABLISHED_PARTNERSHIPS", " WORKED_FOR", " SELF.", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR\n\n Entities: \n [{'head': ['", " WORKED_IN.", " WORKED_IN. In the context, Amani worked in financial inclusion advisory", " WORKED_IN.", " LEADS_PORTFOLIO", " SELF.", " EDUCATION", " EDUCATED_AT", " EDUCATION", " EDUCATION\n\n Explanation:\n Amani holds a Master", " EDUCATION", " EDUCATION", " SELF.", " SPEAKS_LANGUAGE", " FLUENT_IN", " AUTHOR_OF", " AUTHOR", " AUTHOR", " PRECEEDING_WORK", " CHIEF_TECHNICAL_ADVISOR", " PREVIOUS_EMPLOYER", " CHIEF_TECHNICAL_ADVISOR", " CHIEF_TECHNICAL_ADVISOR", " CHIEF_TECHNICAL_ADVISOR_FOR.", " WORKED_FOR.", " CHIEF_TECHNICAL_ADVISOR", " CHIEF_TECHNICAL_ADVISOR_FOR.", " PAST_EXPERIENCE", " WORKED_IN.\n\n Entities: \n [{'head':", " PREVIOUS_EMPLOYER", " CHIEF_TECHNICAL_ADVISOR", " PRECEEDING_WORK_WITH.", " PRECEEDING_WORK_WITH.", " CHIEF_TECHNICAL_ADVISOR", " PREVIOUS_WORK_FOR.", " CHIEF_TECHNICAL_ADVISOR", " CHIEF_TECHNICAL_ADVISOR", " CHIEF_TECHNICAL_ADVISOR", " CHIEF_TECHNICAL_ADVISOR", " CHIEF_TECHNICAL_ADVISOR", " CHIEF_TECHNICAL_ADVISOR", " LAUNCHED", " CHIEF_TECHNICAL_ADVISOR", " CHIEF_TECHNICAL_ADVISOR", " PARTNER_OF", " 'PRECEDING_WORK_WITH'", " CHIEF_TECHNICAL_ADVISOR", " PRECEEDING_WORK_WITH", " PRECEEDING_WORK_WITH.", " PRECEEDING_WORK_WITH.", " WORKED_FOR", " 'WORKED_FOR'", " Amani worked with the United Nations Capital Development Fund in Mali.", " WORKED_IN.", " CHIEF_TECHNICAL_ADVISOR_FOR.", " CHIEF_TECHNICAL_ADVISOR", " EDUCATION", " EDUCATION", " EDUCATION", " PREVIOUS_EMPLOYER", " EDUCATION", " EDUCATION", " CHIEF_TECHNICAL_ADVISOR", " NO_RELATION.", " Amani is fluent in French (while working for the United Nations Capital Development Fund)", " PUBLISHED_WORK", " PAST_EMPLOYER", " AUTHOR_OF", " PRECEEDING_WORK_WITH.", " WORKED_FOR", " WORKED_FOR", " CHIEF_TECHNICAL_ADVISOR", " LAUNCHED", " LAUNCHED_IN.", " LAUNCHED.", " WORKED_IN.\n This indicates that the head entity (Rwanda)", " ADJACENT_COUNTRY", " WORKED_IN.\n\n Entities: \n [{'head':", " IN_REGION", " WORKED_FOR", " CHIEF_TECHNICAL_ADVISOR", " PRECEEDING_WORK_WITH", " ADVISOR_OF", " LAUNCHED", " PREVIOUS_WORK\n\n Explanation:\n Amani", " WORKED_FOR", " CHIEF_TECHNICAL_ADVISOR", " WORKED_IN.\n This indicates that Amani worked in Rwanda", " WORKED_IN.\n This indicates that the head entity (Rwanda)", " WORKED_IN.\n This indicates that the head entity (Rwanda)", " CHIEF_TECHNICAL_ADVISOR", " LAUNCHED", " ESTABLISHED_PARTNERSHIP", " PART_OF", " ESTABLISHED_PARTNERSHIP", " CHIEF_TECHNICAL_ADVISOR", " CHIEF_TECHNICAL_ADVISOR", " WORKED_FOR", " PREVIOUS_WORK_FOR_ORGANIZATION", " WORKED_FOR", " PRECEEDING_WORK", " PRECEEDING_WORK", " NO_RELATION.", " PREVIOUS_WORK_IN.", " WORKED_IN.\n\n Explanation:\n Amani worked", " CHIEF_TECHNICAL_ADVISOR", " EDUCATION", " EDUCATED_AT", " EDUCATION", " PREVIOUS_WORK_AT", " EDUCATION", " EDUCATION\n\n Explanation:\n Amani attended IE Business", " CHIEF_TECHNICAL_ADVISOR", " SPEAKS_LANGUAGE", " SPEAKS_LANGUAGE", " PUBLISHED_WORK", " AUTHORED_PUBLICATION", " WRITTEN_BY", " PRECEEDING_WORK_WITH", " WORKED_FOR\n\n Explanation:\n Amani M’", " WORKED_FOR", " WORKED_FOR\n\n Explanation:\n Amani worked for", " CHIEF_TECHNICAL_ADVISOR", " WORKED_IN.\n\n Explanation:\n Amani worked", " WORKED_IN.\n\n Explanation:\n Amani worked", " WORKED_IN.\n # This relation indicates that the head entity (Aman", " WORKED_IN.\n This indicates that the head entity (Amani,", " WORKED_IN.\n This indicates that the head entity (Liberia)", " WORKED_IN. (The head entity is the agent and the tail entity is the", " WORKED_FOR", " WORKED_FOR", " PRECEEDING_WORK_WITH", " ADVISOR_OF", " PAST_WORK_WITH.", " Amani worked with (preceding) the United Nations Capital Development Fund in Liberia", " WORKED_FOR", " CHIEF_TECHNICAL_ADVISOR", " WORKED_FOR\n\n Explanation:\n The text states that '", " WORKED_IN.\n This indicates that the head entity (Liberia)", " WORKED_IN.\n This indicates that the head entity (Liberia)", " WORKED_FOR\n\n Explanation:\n Amani worked for", " LAUNCHED", " CHANGED_GOVERNMENT_ROLE\n\n Explanation:\n", " WORKED_FOR", " ESTABLISHED_PARTNERSHIP", " CHIEF_TECHNICAL_ADVISOR", " WORKED_FOR", " WORKED_FOR", " PREVIOUS_WORK\n\n Explanation:\n Amani", " WORKED_FOR", " PRECEEDING_WORK", " PRECEEDING_WORK", " NO_RELATION.", " PREVIOUS_WORK\n\n Explanation:\n Amani", " WORKED_IN.\n This indicates that the head entity (Liberia)", " WORKED_FOR", " NO_RELATION.", " EDUCATED_AT", " EDUCATION", " PREVIOUS_WORK_AT", " NO_RELATION.", " EDUCATION\n\n Explanation:\n Amani worked with a", " WORKED_FOR", " NO_RELATION.", " NO_RELATION", " WRITTEN_BY", " AUTHOR", " WRITTEN_BY", " PRECEEDING_WORK_WITH", " LEADS", " REPresents", " LEADS", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LAUNCHED", " PORTFOLIO_COUNTRY", " EXPERIENCE_WITH_DURATION", " INCLUDES\n\n Explanation:\n Amani leads the Incl", " REPresents", " LEADS", " PRECEEDING_WORK", " ADVISED_BY", " LAUNCHED", " PREVIOUS_EMPLOYER", " LEADS", " CHIEF_TECHNICAL_ADVISOR", " WORKED_IN.\n This indicates that the head entity (Uganda)", " WORKED_IN.\n This indicates that Amani worked in Liberia before", " LAUNCHED", " LEADS", " LAUNCHED", " PART_OF", " PART_OF", " ESTABLISHED_PARTNERSHIP", " WORKED_FOR", " LEADS", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " NO_RELATION.", " PREVIOUS_WORK\n\n Explanation:\n Amani", " NO_RELATION.", " WORKED_IN. In the context, Amani worked in Sierra Leone before", " LEADS_PORTFOLIO", " LEADS", " EDUCATION", " EDUCATED_AT", " EDUCATION", " EDUCATED_AT", " EDUCATION", " EDUCATION\n\n Explanation:\n Amani holds a Master", " LEADS", " SPEAKS_LANGUAGE", " FLUENT_IN", " PUBLISHED_WORK", " AUTHORED", " WRITTEN_BY", " PREVIOUS_EMPLOYER", " LEADS", " REPresents", " LEADS", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LAUNCHED", " PORTFOLIO_COUNTRY", " EXPERIENCE_WITH_DURATION", " IN_REGION", " REPresents", " LEADS", " PRECEEDING_WORK", " ADVISOR_OF", " LAUNCHED", " PREVIOUS_EMPLOYER", " LEADS", " CHIEF_TECHNICAL_ADVISOR", " PREVIOUS_WORK_IN.", " WORKED_IN\n\n Explanation:\n Amani worked with", " LAUNCHED", " LEADS_PORTFOLIO", " LAUNCHED", " PART_OF", " PART_OF", " ESTABLISHED_PARTNERSHIP", " WORKED_FOR", " LEADS", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " NO_RELATION.", " PREVIOUS_WORK\n\n Explanation:\n Amani", " NO_RELATION.", " WORKED_IN. In the context of the text, Amani worked in Sierra", " LEADS_PORTFOLIO", " LEADS", " EDUCATION", " EDUCATED_AT", " EDUCATION", " EDUCATED_AT", " EDUCATION", " EDUCATION\n\n Explanation:\n Amani holds a Master", " LEADS", " SPEAKS_LANGUAGE", " FLUENT_IN", " PUBLISHED_WORK", " AUTHORED", " WRITTEN_BY", " PREVIOUS_EMPLOYER", " SELF_REFERENCE", " REPresents", " REPRESENTS", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LAUNCHED", " LEADS_PORTFOLIO", " HAS_EXPERIENCE", " INTERNATIONAL_DEVELOPMENT_EXPERT_IN_LOCATION", " REPresents", " SELF_REFERENCE", " PRECEEDING_WORK_WITH.", " ADVISOR_OF", " ADVISOR", " PREVIOUS_EMPLOYER", " SELF", " CHIEF_TECHNICAL_ADVISOR", " CHIEF_TECHNICAL_ADVISOR_FOR.", " WORKED_IN.", " LAUNCHED", " LAUNCHED", " LAUNCHED", " PART_OF\n\n Explanation:\n Amani led the launch of", " LEADS_GOVERNMENT_MINISTRY", " ESTABLISHED_PARTNERSHIPS", " WORKED_FOR", " SELF_REFERENCE", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR\n\n Entities: \n [{'head': ['", " WORKED_IN. In the context of the text, Amani worked in Z", " CONSIDERED_WORK_IN.", " WORKED_IN.", " LEADS_PORTFOLIO", " SELF.", " EDUCATION", " EDUCATED_AT", " EDUCATION", " EDUCATED_AT", " EDUCATION", " EDUCATION", " SELF_REFERENCE", " SPEAKS_LANGUAGE", " FLUENT_IN", " AUTHOR", " AUTHOR", " AUTHOR", " PRECEEDING_WORK_WITH.", " LAUNCHED", " OBSERVES", " LAUNCHED", " LAUNCHED", " LAUNCHED_IN.", " ESTABLISHED_IN.", " LAUNCHED", " ESTABLISHED_IN.", " LAUNCHED_EVENT_WITH_DURATION", " DIFFUSION_IN_REGION", " OBSERVER_OF", " LAUNCHED", " LAUNCHED", " LAUNCHED", " ESTABLISHED_PROGRAM", " ESTABLISHED_BY", " LAUNCHED", " LAUNCHED", " LAUNCHED_IN.", " LAUNCHED_IN.", " LAUNCHED", " LAUNCHED", " LAUNCHED", " ESTABLISHED_PARTNERSHIP", " ESTABLISHED_PARTNERSHIP", " ESTABLISHED_PARTNERSHIP", " LAUNCHED", " LAUNCHED", " LAUNCHED", " ESTABLISHED_PARTNERSHIP", " PREVIOUS_EMPLOYER", " LAUNCHED_IN.", " LAUNCHED_IN.", " INITIATED_PROGRAM_IN_COUNTRY", " LAUNCHED_IN.", " LAUNCHED", " LAUNCHED", " EDUCATION\n\n Explanation:\n Amani launched the Mobile", " EDUCATED_AT", " EDUCATION", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n The text mentions that A", " EDUCATED_AT", " LAUNCHED", " SPEAKS_LANGUAGE", " AID_FROM\n\n Explanation:\n The text describes Amani", " PUBLISHED_WORK", " AUTHORED_BY", " AUTHOR_OF", " LAUNCHED", " GOVERNMENT_AGENCY_EMPLOYEE", " OBSERVER_OF", " PART_OF", " PART_OF", " GOVERNMENT_OF.\n Or, if you prefer, GOVERNMENT", " GOVERNMENT_OF.\n\n Explanation:\n The text states", " GOVERNMENT_OF. The 'Bank of Uganda' is the government of", " GOVERNMENT_OF. The 'Bank of Uganda' is the government entity", " HAS_EXPERIENCE_FOR\n\n Or\n\n Relation:", " GOVERNMENT_OF. The 'Bank of Uganda' is the government entity", " observer", " PART_OF", " PARTNERSHIP", " PART_OF", " PART_OF", " GOVERNMENT_OF. The 'Bank of Uganda' is the government of", " PART_OF", " PARTNERSHIP", " PART_OF\n\n Explanation:\n In the text, it is mentioned", " NO_RELATION.", " GOVERNMENT_OF. This is the government entity that Amani established partnerships", " GOVERNMENT_OF. In this context, 'Bank of Uganda' is", " PART_OF", " ESTABLISHED_PARTNERSHIP", " GOVERNMENT.\n\n Explanation:\n The text states that A", " PARTNERSHIP", " PARTNERSHIP", " PART_OF", " PARTNERSHIP", " PART_OF\n\n Explanation:\n In the text, it is mentioned", " PARTNERSHIP", " NO_RELATION.", " NO_RELATION.", " NO_RELATION.", " NO_RELATION.", " GOVERNMENT_OF. The 'Bank of Uganda' is the government entity", " PART_OF", " EDUCATION\n\n Explanation:\n Amani holds a Bachelor", " NO_RELATION.", " EDUCATION\n\n Explanation:\n Amani attended a Master", " PART_OF\n\n Explanation:\n In the text, it is mentioned", " EDUCATION_PROVIDED_BY", " EDUCATION", " PART_OF", " NO_RELATION.", " NO_RELATION", " PUBLISHED_WORK", " PARTNER_OF", " PUBLISHED_WORK", " PARTNERSHIP", " WORKED_FOR", " OBSERVER_OF", " WORKED_FOR", " PART_OF", " LEADS_REGIONALLY", " GOVERNMENT_OF. The 'Ministry of Finance' is the government entity for", " PART_OF", " PART_OF", " HAS_EXPERIENCE_FOR\n\n Explanation:\n A", " GOVERNMENT_OF. The 'Ministry of Finance' is the government entity that", " OBSERVER_OF", " WORKED_FOR", " PARTNER_OF", " PART_OF", " PART_OF", " PART_OF\n\n Explanation:\n The text states that \"Aman", " WORKED_FOR", " PARTNERSHIP", " PART_OF", " WORKED_FOR (Ministry of Finance, Liberia)", " PART_OF", " GOVERNMENT_OF. The 'Ministry of Finance' is the government entity for", " WORKED_FOR", " ESTABLISHED_PARTNERSHIP", " GOVERNMENT_AGENCY_PARTNER_WITH_GOVERNMENT_", " PARTNERSHIP", " PARTNERSHIP", " WORKED_FOR", " PART_OF\n\n Explanation:\n In the text, it is mentioned", " PART_OF\n\n Explanation:\n The text mentions that Aman", " PART_OF", " WORKED_FOR", " NO_RELATION.", " NO_RELATION. In the text, there is no mention of a relation between 'Min", " WORKED_IN. This is based on the context that Amani worked in Sierra", " LEADS_GOVERNMENT_PORTFOLIO", " WORKED_FOR", " EDUCATION_BACKGROUND", " EDUCATION", " EDUCATION", " EDUCATION\n\n Explanation:\n Amani worked with the", " EDUCATION_PROVIDED_BY", " EDUCATION", " WORKED_FOR", " NO_RELATION.", " NO_RELATION", " PUBLISHED_WORK", " PRESENTED_AT (or similar for conferences) or PUBLISHED", " PUBLISHED_WORK", " PARTNER_OF", " PARTNERED_WITH", " PART_OF", " PARTNERSHIP", " PART_OF", " PART_OF", " PART_OF", " PART_OF", " PART_OF", " LEAD_TO_DURATION", " PART_OF", " PART_OF", " PARTNERSHIP", " PARTNERSHIP", " PART_OF", " PART_OF", " PART_OF\n\n Explanation:\n The text states that \"Aman", " PARTNERSHIP", " PARTNERSHIP", " PART_OF", " PART_OF", " PART_OF", " PART_OF", " PART_OF", " ESTABLISHED_PARTNERSHIPS", " PARTNERSHIP", " PART_OF", " ESTABLISHED_PARTNERSHIP", " PART_OF", " PARTNERSHIP", " PARTNERSHIP", " PARTNERSHIP", " PART_OF\n\n Explanation:\n The text mentions that Aman", " PART_OF", " PART_OF\n\n Explanation:\n In the text, it is mentioned", " PART_OF", " PART_OF", " PART_OF", " EDUCATION_BACKGROUND", " PART_OF\n\n Explanation:\n The text mentions that Aman", " EDUCATION\n\n Explanation:\n Amani attended the Master", " PART_OF\n\n Explanation:\n In the text, it is mentioned", " NO_RELATION.", " PART_OF", " PARTNERSHIP", " SPEAKS_LANGUAGE", " PART_OF\n\n Explanation:\n The text mentions that Aman", " PRESENTED_AT.", " PARTNERED_WITH", " PRESENTED_AT.", " PARTNERSHIP", " CHIEF_TECHNICAL_ADVISOR", " PREVIOUS_EMPLOYER", " CHIEF_TECHNICAL_ADVISOR", " CHIEF_TECHNICAL_ADVISOR", " CHIEF_TECHNICAL_ADVISOR", " WORKED_FOR.", " LAUNCHED", " The UNCDF worked in Tanzania.", " EXPERIENCE_WITH_ORGANIZATION", " WORKED_IN. (The head entity is the employer and the tail entity is the", " PREVIOUS_EMPLOYER", " CHIEF_TECHNICAL_ADVISOR", " PRECEEDING_WORK_WITH.", " PRECEEDING_WORK_WITH.", " CHIEF_TECHNICAL_ADVISOR", " PRECEEDING_WORK_WITH.", " CHIEF_TECHNICAL_ADVISOR", " Amani was the Chief Technical Advisor for Financial Inclusion with the United Nations Capital Development", " CHIEF_TECHNICAL_ADVISOR", " CHIEF_TECHNICAL_ADVISOR", " LAUNCHED", " CHIEF_TECHNICAL_ADVISOR", " CHIEF_TECHNICAL_ADVISOR", " LAUNCHED", " CHIEF_TECHNICAL_ADVISOR", " PART_OF", " ESTABLISHED_PARTNERSHIP", " CHIEF_TECHNICAL_ADVISOR", " WORKED_FOR", " PRECEEDING_WORK_WITH", " PRECEEDING_WORK_WITH.", " WORKED_FOR", " PRECEEDING_WORK", " WORKED_FOR", " WORKED_FOR", " CHIEF_TECHNICAL_ADVISOR", " CHIEF_TECHNICAL_ADVISOR", " EDUCATION\n\n Explanation:\n Amani worked with a", " EDUCATED_AT", " EDUCATION", " PREVIOUS_WORK\n\n Explanation:\n Amani", " EDUCATION", " EDUCATION", " CHIEF_TECHNICAL_ADVISOR", " SPEAKS_LANGUAGE", " SPEAKS_LANGUAGE", " PUBLISHED_WORK", " PAST_EMPLOYER", " AUTHOR_OF", " PRECEEDING_WORK_WITH.", " SELF_REFERENCE", " REPresents", " REPRESENTS", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LAUNCHED", " LEADS_PORTFOLIO", " HAS_EXPERIENCE", " INTERNATIONAL_DEVELOPMENT_IN_REGION", " REPresents", " SELF_REFERENCE", " PRECEEDING_WORK", " ADVISOR_OF", " ADVISOR", " PREVIOUSLY_WORKED_FOR", " SELF_REFERENCE", " CHIEF_TECHNICAL_ADVISOR", " CHIEF_TECHNICAL_ADVISOR_FOR.", " WORKED_IN.", " LAUNCHED", " LAUNCHED", " SELF_REFERENCE", " LAUNCHED", " PART_OF\n\n Explanation:\n Amani led the launch of", " LEADS_GOVERNMENT_AGENCY", " ESTABLISHED_PARTNERSHIPS", " CHIEF_TECHNICAL_ADVISOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR\n\n Entities: \n [{'head': ['", " WORKED_IN. This is the correct relation label. The head entity 'Aman", " CONSISTENTLY_WORKED_IN.", " WORKED_IN.", " LEADS_PORTFOLIO", " SELF_REFERENCE", " EDUCATION", " EDUCATED_AT", " EDUCATION", " EDUCATED_AT", " EDUCATION", " EDUCATION", " SELF_REFERENCE", " SPEAKS_LANGUAGE", " FLUENT_IN", " AUTHOR", " AUTHOR", " AUTHOR", " PRECEEDING_WORK_WITH", " WORKED_FOR", " PREVIOUSLY_WORKED_FOR", " WORKED_FOR", " PAST_EMPLOYER", " WORKED_FOR", " IN_COUNTRY\n ORGANIZATION_HAS_PROGRAM_", " IN_COUNTRY\n ORGANIZATION_HAS_PROGRAM_", " IN_COUNTRY\n ORGANIZATION_HAS_PROGRAM_", " WORKED_FOR\n\n Explanation:\n The text states that \"", " IN_REGION", " PREVIOUSLY_WORKED_FOR", " WORKED_FOR", " PREVIOUS_EMPLOYER", " PRECEEDING_WORK_WITH", " ADVISORY_ROLE", " WORKED_FOR", " WORKED_FOR", " PRECEEDING_WORK_WITH.", " WORKED_FOR", " WORKED_FOR", " IN_COUNTRY", " IN_COUNTRY", " WORKED_FOR", " ADVISORY_ROLE", " PART_OF\n\n Explanation:\n In the text, it is mentioned", " ADVISOR_OF", " PARTNER_OF", " WORKED_FOR", " WORKED_FOR", " PREVIOUS_EMPLOYER", " PAST_EMPLOYER", " WORKED_FOR", " IN_COUNTRY", " IN_COUNTRY", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " EDUCATION\n\n Explanation:\n The text states that Aman", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n The text states that Aman", " WORKED_FOR", " EDUCATION_PROVIDED_BY", " WORKED_FOR", " WORKED_FOR", " NO_RELATION.", " NO_RELATION.", " AUTHOR_OF", " WORKED_FOR", " AUTHOR_OF", " PREVIOUS_EMPLOYER", " WORKED_FOR", " PREVIOUS_EMPLOYER", " WORKED_FOR", " PAST_EMPLOYER", " CONSIDERED_FOR\n OR:\n WORKED_FOR\n", " CONSIDERED_FOR\n OR:\n WORKED_FOR\n", " WORKED_FOR", " CONSIDERED_FOR\n OR:\n WORKED_FOR\n", " WORKED_FOR\n\n Explanation:\n The text states that \"", " CONSISTENTLY_IN_FINANCIAL_INCLUSION_ADVIS", " PREVIOUS_EMPLOYER", " WORKED_FOR", " PRECEEDING_WORK", " PRECEEDING_WORK_WITH.", " CONSULTED_FOR", " PREVIOUS_WORK\n\n Explanation:\n The text states", " WORKED_FOR", " PRECEEDING_WORK_WITH.", " WORKED_FOR", " PREVIOUS_WORK\n\n Explanation:\n Amani", " WORKED_FOR", " WORKED_FOR", " ADVISORY_ROLE", " CONSULTED_BY", " CONSULTED_BY", " CONSULTED_WITH", " PART_OF", " PRECEEDING_WORK_WITH.", " WORKED_FOR", " PREVIOUS_EMPLOYER", " PREVIOUS_EMPLOYER", " WORKED_FOR", " 'ADVISORY_ROLE'", " CONSISTENTLY_WORKED_FOR", " WORKED_FOR", " CONSIDERED_FOR\n or\n WORKED_FOR\n ", " WORKED_FOR", " EDUCATION\n\n Explanation:\n The text states that 'Before", " NO_RELATION.", " EDUCATION\n\n Explanation:\n The text states that 'Before", " WORKED_FOR", " EDUCATION_PROVIDED_BY", " NO_RELATION.", " ADVISORY_ROLE", " NO_RELATION", " NO_RELATION.", " AUTHOR_OF", " PREVIOUS_WORK_AT\n\n Explanation:\n A", " AUTHOR_OF", " PREVIOUS_WORK_FOR.", " WORKED_FOR", " PREVIOUS_EMPLOYER", " WORKED_FOR", " PREVIOUS_WORK_FOR.", " WORKED_IN. In this context, 'worked with' implies a past employment", " IN_COUNTRY", " WORKED_FOR", " IN_COUNTRY", " PREVIOUS_EMPLOYER_FOR_DURATION", " WORKED_IN. (The entity 'the International Rescue Committee' worked in", " PREVIOUS_EMPLOYER", " WORKED_FOR", " PREVIOUS_EMPLOYER", " PRECEEDING_WORK_WITH.", " CONSULTED_FOR", " WORKED_FOR", " WORKED_FOR", " PRECEEDING_WORK_WITH.", " WORKED_FOR\n\n Explanation:\n Amani worked for", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " PARTNERED_WITH", " WORKED_FOR", " WORKED_FOR", " PREVIOUS_EMPLOYER", " PREVIOUS_WORK_WITH.", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " EDUCATION\n\n Explanation:\n Amani worked with the", " EDUCATED_AT", " EDUCATION", " WORKED_FOR", " EDUCATION", " WORKED_FOR", " WORKED_FOR", " NO_RELATION.", " NO_RELATION", " AUTHOR_OF", " HAS_AUTHORED", " AUTHOR_OF", " PRECEEDING_WORK_WITH.", " WORKED_FOR\n\n Entities: \n [{'head': ['", " PREVIOUS_EMPLOYER", " WORKED_FOR\n\n Explanation:\n Amani worked for", " ADVISORY_ROLE", " WORKED_IN. In the context, Amani worked in Benin before working", " WORKED_IN. In the context of the text, Amani worked in Ben", " WORKED_IN. In the context, Amani worked with a number of IN", " IN_COUNTRY", " PAST_WORK\n\n Entities: \n [{'head': ['A", " CONSISTENTLY_IN.", " PREVIOUS_EMPLOYER", " WORKED_FOR\n\n Explanation:\n In the text, it", " PRECEEDING_WORK", " ADVISOR_OF", " CONSULTED_FOR", " PRECEEDING_WORK", " WORKED_FOR\n\n Explanation:\n Amani worked for", " PRECEEDING_WORK", " WORKED_FOR\n\n Explanation:\n The text mentions that", " PRECEEDING_WORK", " WORKED_IN. In the context, Amani worked with a number of IN", " WORKED_IN. In the context of the text, this means that Amani", " WORKED_FOR", " LAUNCHED", " PART_OF\n\n Explanation:\n In the text, it is mentioned", " WORKED_FOR", " PART_OF", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " CONSULTED_FOR\n OR:\n WORKED_FOR\n ", " WORKED_FOR", " NO_RELATION. The text does not provide any context about a relation between 'Benin", " CONSISTENTLY_WORKED_IN.", " WORKED_IN. In the context of the text, Amani worked with several", " WORKED_IN. In the context, Amani worked with a number of IN", " WORKED_FOR", " NO_RELATION.", " EDUCATION", " EDUCATION", " EDUCATION\n\n Explanation:\n Amani worked with several", " NO_RELATION.", " EDUCATION", " WORKED_FOR", " NO_RELATION.", " CONTAINED_IN (for entities with language) or NO_RELATION (for", " PUBLISHED_WORK", " AUTHORED_PUBLICATION", " WRITTEN_BY", " PRECEEDING_WORK", " WORKED_FOR\n\n Explanation:\n Amani M’", " PREVIOUS_WORK\n\n Explanation:\n The text states", " WORKED_FOR", " ADVISORY_ROLE", " CONTAINED_IN", " WORKED_IN. Preceding work with the United States government, Amani", " PRECEEDING_WORK", " ADVISORY_ROLE\n OR\n FINANCIAL_INCLUS", " PAST_WORK\n\n Explanation:\n Amani has 2", " IN_REGION", " PREVIOUS_EMPLOYER", " WORKED_FOR", " PRECEEDING_WORK", " ADVISED_BY", " ADVISORY_ROLE", " PREVIOUS_WORK\n\n Explanation:\n The text ment", " WORKED_FOR\n\n Explanation:\n The text states that \"", " PRECEEDING_WORK", " PRECEEDING_WORK", " PRECEEDING_WORK", " PRECEEDING_WORK", " PRECEEDING_WORK", " WORKED_FOR\n\n Explanation:\n Amani worked for", " LAUNCHED", " PART_OF\n\n Explanation:\n In the text, it is mentioned", " WORKED_FOR", " PART_OF", " WORKED_FOR", " WORKED_FOR\n OR\n ADVISED\n OR\n CON", " WORKED_FOR", " PREVIOUS_WORK\n\n Explanation:\n Amani", " WORKED_FOR", " WORKED_FOR\n\n Explanation:\n The text mentions that", " NO_RELATION.", " WORKED_IN. In the context of the text, Amani worked in Z", " WORKED_IN. In the context of the text, 'Amani worked in", " WORKED_FOR\n\n Explanation:\n Amani worked for", " EDUCATION", " EDUCATION", " EDUCATION", " EDUCATED_AT", " NO_RELATION.", " EDUCATION", " WORKED_FOR\n\n Explanation:\n Amani worked for", " NO_RELATION.", " CONTAINS_LANGUAGE_PROFICIENCY", " WRITTEN_BY", " AUTHORED", " WRITTEN_BY", " PRECEEDING_WORK", " WORKED_IN. In this context, 'worked with' or 'worked", " ADVISORY_ROLE", " WORKED_FOR\n\n Explanation:\n Amani worked for", " ADVISORY_ROLE", " CONTAINED_IN", " ADVISORY_ROLE\n\n Explanation:\n Amani worked", " ADVISORY_ROLE\n\n Explanation:\n Amani worked", " ADVISORY_ROLE\n\n Explanation:\n Amani worked", " EXPERIENCE_WITH_ORGANIZATION\n\n Entities: ", " CONTAINED_IN", " WORKED_FOR", " WORKED_IN. In this context, 'worked with' or 'worked", " PREVIOUS_WORK\n\n Explanation:\n Amani", " ADVISOR_OF", " CONSULTED_FOR", " NO_RELATION.", " WORKED_FOR\n\n Explanation:\n Amani worked for", " ADVISOR_OF", " PREVIOUS_WORK\n\n Explanation:\n Amani", " NO_RELATION.", " WORKED_IN. In the context of the text, Amani worked in Mal", " WORKED_IN. In the context, Amani worked in Mali and later", " WORKED_FOR\n\n Explanation:\n Amani worked for", " LAUNCHED", " PART_OF\n\n Explanation:\n In the text, it is mentioned", " WORKED_FOR", " PART_OF", " WORKED_FOR", " WORKED_FOR\n\n Explanation:\n Amani worked for", " ADVISORY_ROLE", " CONSULTED_FOR\n OR,\n WORKED_FOR\n ", " ADVISORY_ROLE", " WORKED_FOR\n\n Explanation:\n The text mentions that", " WORKED_IN. In the context of the text, Amani worked with several", " CONSISTENTLY_WORKED_IN.", " CONTAINED_IN", " WORKED_FOR\n\n Explanation:\n Amani worked for", " NO_RELATION.", " EDUCATED_AT", " EDUCATION", " CONTAINED_IN\n OR:\n WORKED_FOR\n ", " NO_RELATION.", " EDUCATION", " WORKED_FOR\n\n Explanation:\n Amani worked for", " NO_RELATION.", " CONTAINS_LANGUAGE", " WRITTEN_BY", " AUTHORED_PUBLICATION", " AUTHOR_OF_WORK", " PREVIOUS_WORK\n\n Explanation:\n The text states", " WORKED_IN. In the context of the text, Amani worked in Sierra", " WORKED_FOR", " WORKED_FOR\n\n Explanation:\n Amani worked for", " CONSULTED_FOR\n or\n ADVISORY_ROLE\n ", " CONTAINED_IN", " WORKED_IN. Preceding work with the United States government, Amani", " WORKED_IN. Preceding work with the United States government, Amani", " WORKED_IN. Preceding work with the United States government, Amani", " WORKED_IN. In this context, 'worked' implies a professional role,", " CONTAINED_IN", " WORKED_FOR", " WORKED_FOR\n\n Explanation:\n Amani worked for", " WORKED_FOR", " PRECEEDING_WORK", " CONSULTED_FOR", " WORKED_FOR\n\n Explanation:\n The text mentions that", " WORKED_FOR\n\n Explanation:\n Amani worked for", " WORKED_FOR", " PREVIOUS_WORK\n\n Explanation:\n The text ment", " PREVIOUS_WORK\n\n Explanation:\n The text ment", " WORKED_IN. In the context, Amani worked in Sierra Leone and", " WORKED_IN. In the context, Amani worked in Sierra Leone and", " WORKED_FOR\n\n Explanation:\n Amani worked for", " CONTEXT_MENTIONED_IN.", " ADVISORY_ROLE\n\n Explanation:\n Amani worked", " WORKED_FOR", " CONTACTED_BY\n or\n COLLABORATED_WITH", " WORKED_FOR", " WORKED_FOR\n\n Explanation:\n The text states that \"", " WORKED_FOR", " CONSULTED_FOR\n or\n WORKED_FOR\n or", " WORKED_FOR", " WORKED_IN. In the context of the text, Amani worked in Ben", " WORKED_IN. In the context of the text, Amani worked in Z", " WORKED_IN. In the context of the text, Amani worked in Mal", " WORKED_IN. In the context of the text, 'Sierra Leone'", " WORKED_FOR\n\n Explanation:\n Amani worked for", " EDUCATION\n\n Explanation:\n The text mentions that A", " EDUCATED_AT", " EDUCATION", " WORKED_FOR", " NO_RELATION.", " EDUCATION\n\n Explanation:\n Amani attended IE Business", " WORKED_FOR\n\n Explanation:\n Amani worked for", " NO_RELATION.", " CONTAINED_IN\n or\n WORKED_IN\n or", " PUBLISHED_WORK", " AUTHORED", " AUTHOR_OF_WORK", " PREVIOUS_WORK\n\n Explanation:\n Amani", " LEADS_PORTFOLIO", " OBSERVER_OF", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " HAS_EXPERIENCE_FOR\n\n Explanation:\n A", " CONTAINS_REGION", " REPresents", " LEADS_PORTFOLIO", " PREVIOUS_EMPLOYER", " ADVISOR_OF", " LEADS_PORTFOLIO", " REPRESENTS_ORGANIZATION_OF_ORGANIZATION", " LEADS_PORTFOLIO", " CHIEF_TECHNICAL_ADVISOR", " WORKED_IN. In the context of the text, Amani worked with the", " NO_RELATION.", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LAUNCHED", " PART_OF", " LEADS_GOVERNMENT_MINISTRY", " ESTABLISHED_PARTNERSHIPS", " PREVIOUS_WORK_FOR.", " LEADS_PORTFOLIO", " WORKED_FOR", " CONSULTED_FOR\n OR,\n WORKED_FOR\n ", " WORKED_FOR", " WORKED_IN. In the context of the text, Amani worked with a", " PREVIOUS_WORK_IN.", " NO_RELATION.", " WORKED_IN. In the context of the text, 'Amani worked in", " LEADS_PORTFOLIO", " EDUCATION", " EDUCATED_AT", " EDUCATION", " EDUCATED_AT", " EDUCATION", " EDUCATION\n\n Explanation:\n Amani holds a Master", " LEADS_PORTFOLIO", " SPEAKS_LANGUAGE", " NO_RELATION.", " WRITTEN_BY", " AUTHORED", " WRITTEN_BY", " PREVIOUS_EMPLOYER", " SELF_REFERENCE", " REPresents", " REPRESENTS", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LAUNCHED", " LEADS_PORTFOLIO", " HAS_EXPERIENCE", " INTERNATIONAL_DEVELOPMENT_IN_REGION", " REPresents", " SELF_REFERENCE", " PRECEEDING_WORK_WITH.", " ADVISOR_OF", " ADVISOR", " PREVIOUSLY_WORKED_FOR", " SELF.", " CHIEF_TECHNICAL_ADVISOR", " CHIEF_TECHNICAL_ADVISOR_FOR.", " WORKED_IN.", " LAUNCHED", " LAUNCHED", " SELF_REFERENCE", " LAUNCHED", " PART_OF\n\n Explanation:\n Amani led the launch of", " LEADS_GOVERNMENT_AGENCY", " ESTABLISHED_PARTNERSHIPS", " WORKED_FOR", " SELF_REFERENCE", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR\n\n Entities: \n [{'head': ['", " WORKED_IN.", " WORKED_IN. In the context, Amani worked in financial inclusion advisory", " WORKED_IN.", " LEADS_PORTFOLIO", " EDUCATION", " EDUCATED_AT", " EDUCATION", " EDUCATED_AT", " EDUCATION", " EDUCATION\n\n Explanation:\n Amani holds a Master", " SELF_REFERENCE", " SPEAKS_LANGUAGE", " FLUENT_IN", " AUTHOR_OF", " AUTHOR", " AUTHOR_OF", " PRECEEDING_WORK_WITH.", " EDUCATION", " EDUCATION\n\n Explanation:\n Amani holds a Bachelor", " EDUCATION", " EDUCATION.\n\n Entities: \n [{'head': ['", " EDUCATION_AT_LOCATION", " EDUCATED_IN.", " EDUCATION_AT.", " EDUCATED_IN", " EDUCATION_AT_LOCATION", " EDUCATION\n\n Explanation:\n Amani holds a Bachelor", " EDUCATION", " EDUCATION\n\n Explanation:\n Amani holds a Bachelor", " PREVIOUS_WORK\n\n Explanation:\n The text states", " EDUCATION.\n\n Entities: \n [{'head': ['", " EDUCATED_AT", " EDUCATION", " WORKED_FOR", " EDUCATED_IN", " PREVIOUS_WORK_IN.", " EDUCATION_AT.", " EDUCATION_AT.", " EDUCATION", " LAUNCHED", " LAUNCHED", " WORKED_FOR", " ESTABLISHED_PARTNERSHIP", " WORKED_FOR", " EDUCATION", " EDUCATIONAL_BACKGROUND", " WORKED_FOR", " EDUCATIONAL_BACKGROUND", " WORKED_IN.", " EDUCATION_AT.", " EDUCATION_AT.", " WORKED_IN.", " EDUCATION_AT.", " EDUCATION", " EDUCATION", " EDUCATED_AT", " EDUCATION", " EDUCATION", " AUTHOR_OF\n\n Entities: \n [{'head': ['2", " EDUCATION\n\n Explanation:\n Amani holds a Bachelor", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_IN", " Amani_is_from_New_York_University\n NO_", " Amani_graduated_from_New_York_University. # This", " NO_RELATION.", " EDUCATION", " EDUCATED_IN", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_BY", " PRIOR_TO\n\n Explanation:\n Amani worked with", " EDUCATION\n\n Explanation:\n Amani M’B", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " NO_RELATION.", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " WORKED_FOR", " PART_OF\n\n Explanation:\n In the text, it is mentioned", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " NO_RELATION", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n Amani attended New York", " EDUCATED_AT", " NO_RELATION.", " NO_RELATION.", " EDUCATED_IN", " EDUCATED_AT", " EDUCATION", " EDUCATION", " EDUCATED_AT", " EDUCATION", " EDUCATION", " EDUCATED_AT", " NO_RELATION", " NO_RELATION", " AUTHOR_OF", " AUTHORED_PUBLICATION", " AUTHOR_OF", " EDUCATED_BY", " EDUCATION", " EDUCATION\n\n Explanation:\n Amani holds a Master", " EDUCATION", " EDUCATION\n\n Explanation:\n Amani holds a Master", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " EDUCATION_AT.", " LEADS_PORTFOLIO", " EDUCATION_AT_LOCATION", " EDUCATION\n\n Explanation:\n Amani holds a Master", " EDUCATION", " ADVISOR_OF", " ADVISOR_OF", " EDUCATION\n\n Explanation:\n Amani holds a Master", " EDUCATION_AT.", " EDUCATION", " WORKED_FOR", " WORKED_FOR.", " WORKED_FOR\n\n Explanation:\n Amani worked for", " EDUCATED_AT", " EDUCATION_AT.", " EDUCATION", " LAUNCHED", " PART_OF", " WORKED_FOR", " ESTABLISHED_PARTNERSHIP", " WORKED_FOR", " EDUCATION", " EDUCATION\n\n Explanation:\n Amani holds a Master", " ADVISORY_ROLE", " EDUCATIONAL_BACKGROUND", " ADVISORY_ROLE", " WORKED_IN.", " EDUCATION_AT.", " ADVISORY_ROLE", " LEADS_PORTFOLIO", " EDUCATION", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n Amani holds a Master", " EDUCATION", " EDUCATION", " AUTHOR_OF", " ADVISOR_OF", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " LEADS_PORTFOLIO", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATION", " EDUCATED_IN", " EDUCATED_AT", " EDUCATED_AT", " 'EDUCATED_BY'", " ADVISOR_OF", " EDUCATION\n\n Explanation:\n Amani attended Columbia University", " EDUCATED_AT", " EDUCATED_AT", " PRECEEDING_WORK_WITH.", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " LAUNCHED", " PART_OF\n\n Explanation:\n In the text, it is mentioned", " ADVISOR_OF", " PART_OF\n\n Explanation:\n In the text, it is mentioned", " PREVIOUS_EMPLOYER", " EDUCATED_AT", " PREVIOUS_WORK_AT", " PREVIOUS_WORK\n\n Explanation:\n Amani", " WORKED_FOR", " EDUCATION\n\n Explanation:\n Amani attended Columbia University", " EDUCATION\n\n Explanation:\n Amani attended Columbia University", " EDUCATION\n\n Explanation:\n Amani attended Columbia University", " EDUCATED_AT", " LEADS_PORTFOLIO", " EDUCATED_AT", " EDUCATION", " EDUCATED_AT", " EDUCATION", " EDUCATION", " EDUCATED_AT", " EDUCATED_AT", " NO_RELATION.", " NO_RELATION", " AUTHOR_OF", " AUTHOR_OF", " AUTHOR_OF", " PRIOR_TO\n\n Explanation:\n In the text, it", " EDUCATION", " EDUCATION\n\n Explanation:\n Amani holds a Master", " EDUCATION", " EDUCATION\n\n Explanation:\n Amani holds a Master", " LEADS_PORTFOLIO", " EDUCATION_AT.\n This indicates that the person (head) received their", " EDUCATED_AT", " LEADS_PORTFOLIO", " EDUCATION_LOCATION", " EDUCATION\n\n Explanation:\n Amani holds a Master", " EDUCATION", " EDUCATION\n\n Explanation:\n Amani holds a Master", " ADVISOR_OF", " EDUCATION\n\n Explanation:\n Amani holds a Master", " EDUCATED_AT", " EDUCATION", " CHIEF_TECHNICAL_ADVISOR", " LAUNCHED_PROGRAM_IN.", " WORKED_IN. In the context, Amani worked with the United Nations Capital", " EDUCATION_AT.\n This indicates that the head entity (Amani", " EDUCATED_AT", " EDUCATION", " LAUNCHED", " EDUCATION\n\n Explanation:\n Amani holds a Master", " WORKED_FOR", " ESTABLISHED_PARTNERSHIP", " WORKED_FOR", " EDUCATION", " EDUCATION\n\n Explanation:\n Amani holds a Master", " WORKED_FOR", " EDUCATION\n\n Explanation:\n Amani holds a Master", " EDUCATION_AT.", " EDUCATION_AT.", " EDUCATION_AT.", " WORKED_IN.", " EDUCATION_AT.\n This relation indicates that the head entity (Aman", " EDUCATION", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n Amani holds a Master", " EDUCATION", " EDUCATION", " AUTHOR_OF", " WORKED_FOR", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATION_AT.\n This indicates that the person attended the institution for education", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATION", " EDUCATION_LOCATION", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_BY", " PREVIOUS_EMPLOYER", " EDUCATION\n\n Explanation:\n Amani holds a Master", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " NO_RELATION.", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " WORKED_FOR", " PART_OF", " EDUCATED_AT", " EDUCATED_AT", " EDUCATED_AT", " NO_RELATION.", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n Amani holds a Master", " EDUCATION\n\n Explanation:\n Amani holds a Master", " EDUCATION\n\n Explanation:\n Amani holds a Master", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n Amani holds a Master", " EDUCATED_AT", " EDUCATION", " EDUCATION\n\n Explanation:\n Amani holds a Master", " EDUCATION", " EDUCATION\n\n Explanation:\n Amani holds a Master", " EDUCATION", " EDUCATED_AT", " NO_RELATION", " NO_RELATION", " AUTHOR_OF", " AUTHORED_PUBLICATION", " AUTHOR_OF", " EDUCATED_BY", " SELF_REFERENCE", " REPresents", " REPRESENTS", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LEADS_PORTFOLIO", " LAUNCHED", " LEADS_PORTFOLIO", " EXPERIENCE_WITH_DURATION", " INTERNATIONAL_DEVELOPMENT_IN_REGION", " REPresents", " SELF_REFERENCE", " PRECEEDING_WORK_WITH.", " ADVISOR_OF", " LEADS_PROGRAM", " PREVIOUSLY_WORKED_FOR", " SELF_REFERENCE", " CHIEF_TECHNICAL_ADVISOR", " CHIEF_TECHNICAL_ADVISOR_FOR.", " WORKED_IN.", " LAUNCHED", " LAUNCHED", " SELF_REFERENCE", " LAUNCHED", " PART_OF\n\n Explanation:\n Amani led the launch of", " LEADS_GOVERNMENT_AGENCY", " ESTABLISHED_PARTNERSHIPS", " WORKED_FOR", " SELF_REFERENCE", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR", " WORKED_FOR\n\n Entities: \n [{'head': ['", " WORKED_IN. In the context of the text, Amani worked in Z", " WORKED_IN. In the context, Amani worked in financial inclusion advisory", " WORKED_IN.", " LEADS_PORTFOLIO", " SELF_REFERENCE", " EDUCATION", " EDUCATED_AT", " EDUCATION", " EDUCATED_AT", " EDUCATION", " EDUCATION\n\n Explanation:\n Amani holds a Master", " SPEAKS_LANGUAGE", " FLUENT_IN", " AUTHOR_OF", " AUTHOR", " AUTHOR", " PRECEEDING_WORK_WITH.", " SPEAKS_LANGUAGE", " REPRESENTS", " SPEAKS_LANGUAGE", " SPEAKS_LANGUAGE_OF", " LEADS_IN_REGION", " SPEAKS_LANGUAGE_OF", " SPEAKS_LANGUAGE_OF", " SPEAKS_LANGUAGE_OF", " SPEAKS_LANGUAGE_OF", " REPRESENTS", " SPEAKS_LANGUAGE", " SPEAKS_LANGUAGE_OF", " PREVIOUS_WORK_AT", " SPEAKS_LANGUAGE_OF", " NO_RELATION.", " SPEAKS_LANGUAGE", " CHIEF_TECHNICAL_ADVISOR", " SPEAKS_LANGUAGE_OF", " NO_RELATION.", " SPEAKS_LANGUAGE_OF", " SPEAKS_LANGUAGE_OF", " SPEAKS_LANGUAGE", " Amani_launched_the_Mobile_Money_for_the_Po", " PARTNERSHIP", " PART_OF\n\n Explanation:\n Amani's work with", " ESTABLISHED_PARTNERSHIPS", " WORKED_FOR", " SPEAKS_LANGUAGE", " NO_RELATION.", " NO_RELATION.", " SPEAKS_LANGUAGE_OF", " NO_RELATION.", " NO_RELATION.", " NO_RELATION.", " NO_RELATION.", " LEADS_IN_REGION", " SPEAKS_LANGUAGE", " NO_RELATION", " NO_RELATION.", " NO_RELATION.", " SPEAKS_LANGUAGE", " AUTHORED", " SPEAKS_LANGUAGE_OF", " FLUENT_IN", " REPRESENTS", " FLUENT_IN", " LEADS", " LEADS_IN_REGION", " LEADS_PORTFOLIO_IN_COUNTRY", " FLUENT_IN.", " LEADS_PROGRAM_IN_COUNTRY", " FLUENT_IN.", " REPRESENTS", " FLUENT_IN", " PREVIOUS_WORK", " PREVIOUS_WORK\n\n Explanation:\n Amani", " SPEAKS_LANGUAGE_OF", " NO_RELATION.", " FLUENT_IN", " CHIEF_TECHNICAL_ADVISOR", " PREVIOUS_WORK\n\n Explanation:\n Amani", " PREVIOUS_WORK\n\n Explanation:\n Amani", " FLUENT_IN.", " FLUENT_IN.", " FLUENT_IN", " LAUNCHED", " PART_OF\n\n Explanation:\n Amani worked with the Bank", " FLUENT_IN.", " ESTABLISHED_PARTNERSHIPS", " WORKED_FOR", " FLUENT_IN", " WORKED_FOR", " NO_RELATION. The text does not provide enough context to determine a relation between 'CA", " WORKED_FOR", " Before\n OR\n Preceding work with\n OR\n Worked with", " NO_RELATION.", " FLUENT_IN.", " WORKED_IN.", " LEADS_PROGRAM_IN_REGION", " FLUENT_IN", " NO_RELATION", " EDUCATED_AT", " EDUCATION\n\n Explanation:\n Amani holds a Master", " FLUENT_IN", " AUTHORED", " WORKED_FOR", " AUTHOR_OF", " REPRESENTS", " AUTHOR", " PUBLISHED_BY", " TOPIC_OF_EXPERTISE_IN_LOCATION", " APPLIES_TO", " 'REPORTED_BY'", " REFERS_TO", " TOPIC_OF_WORK", " REPRESENTS", " AUTHOR", " PUBLISHED_BY", " ADVISED_BY", " PUBLISHED_BY", " PUBLISHED_BY", " AUTHOR_OF", " AUTHOR_OF\n\n Entities: \n [{'head': ['1", " PUBLISHED_IN", " NO_RELATION.", " 'REPORTED_BY'", " 'REPORTED_BY'", " AUTHOR_OF", " PUBLISHED_WORK_ABOUT", " COLLABORATOR", " INFLUENCED_BY", " ESTABLISHED_PARTNERSHIP", " WROTE", " AUTHOR_OF", " AUTHOR_OF", " AUTHOR_OF", " AUTHOR_OF", " FINANCIAL_INCLUSION_ADVISORY", " NO_RELATION. The text does not provide enough context to determine a relation between 'Dig", " NO_RELATION. The text does not provide enough context to determine a relation between 'Dig", " CONTEXT_MENTIONED_IN.", " 'APPLIES_TO'", " AUTHOR_OF", " AUTHOR_OF\n\n Entities: \n [{'head': ['2", " AUTHOR_OF\n\n Entities: \n [{'head': ['2", " AUTHOR_OF\n\n Explanation:\n Amani is the author", " AUTHOR_OF", " AUTHOR_OF", " AUTHOR_OF\n\n Explanation:\n Amani authored a", " AUTHOR", " REPRESENTS", " AUTHOR", " AUTHORED", " PUBLISHED_WORK_ON", " 'AUTHOR_OF'", " 'Digitizing_Agricultural_Payments' # This is the label of", " 'MENTIONED_IN' or 'REFERRED_TO' or 'DISC", " AUTHOR_OF\n\n Explanation:\n Amani has authored", " PUBLISHED_IN", " PUBLISHED_BY", " AUTHOR", " AUTHORED_BY", " AUTHORED_BY", " AUTHORED", " AUTHOR_OF\n\n Explanation:\n Amani has authored", " AUTHOR", " AUTHOR_OF\n\n Explanation:\n Amani has authored", " PUBLISHED_WORK_ON.", " AUTHORED_BY", " 'AUTHOR_OF'", " 'AUTHOR_OF'", " AUTHOR", " AUTHORED", " PUBLISHED_BY", " AUTHOR_OF\n\n Explanation:\n Amani authored a", " PRESENTED_AT. (CGAP presented at a conference with Telecommunications Ministry", " AUTHORED_BY", " AUTHOR", " 'AUTHOR'", " AUTHORED_BY", " HAS_AUTHORED", " AUTHORED_PUBLICATION", " AUTHORED_BY", " AUTHORED_PUBLICATION", " AUTHORED_PUBLICATION", " PUBLISHED_ABOUT", " AUTHOR", " AUTHOR_OF\n\n Entities: \n [{'head': ['2", " AUTHOR_OF\n\n Entities: \n [{'head': ['2", " AUTHOR_OF\n\n Explanation:\n Amani authored the", " AUTHOR_OF\n\n Explanation:\n Amani has authored", " AUTHOR_OF\n\n Explanation:\n Amani has authored", " AUTHORED_BY", " AUTHOR", " NO_RELATION.", " NO_RELATION. The text does not provide enough context to determine a relation between 'CG", " AUTHOR_OF", " AUTHOR_OF", " AUTHORED_BY", " AUTHOR", " WRITTEN_BY", " AUTHOR", " WRITTEN_BY", " WRITTEN_BY", " USAID_HEALTH_GOALS_IN_KENYA", " USAID_HEALTH_GOALS_IN_UGANDA_ACCE", " USAID_HEALTH_GOALS_IN_TANZANIA_", " APPLIES_TO", " WRITTEN_BY", " AUTHOR", " WRITTEN_BY", " WROTE", " WRITTEN_BY", " WRITTEN_BY", " AUTHOR", " AUTHOR_OF", " WRITTEN_BY", " WRITTEN_BY", " WRITTEN_BY", " WRITTEN_BY", " AUTHOR", " WRITTEN_BY", " MENTIONED_IN.", " INFLUENCED_BY", " PART_OF", " AUTHOR_OF", " AUTHOR", " AUTHOR_OF\n\n Explanation:\n Amani authored \"", " AUTHOR_OF", " AUTHOR_OF", " WRITTEN_BY", " WRITTEN_BY", " WRITTEN_BY", " WRITTEN_BY", " WRITTEN_BY", " AUTHOR", " AUTHOR_OF\n\n Entities: \n [{'head': ['2", " AUTHOR_OF\n\n Entities: \n [{'head': ['2", " AUTHOR_OF\n\n Explanation:\n Amani has authored", " AUTHOR", " AUTHOR_OF\n\n Explanation:\n The text states that Aman", " WRITTEN_BY", " ADVISED_BY", " PRECEEDED_BY", " ADVISOR", " ADVISOR", " ADVISED_IN.", " ADVISED_BY", " ADVISED_BY", " ADVISED_BY", " PAST_WORKED_FOR", " ADVISORY_ROLE_IN_REGION", " PRECEDED_BY", " ADVISED_BY", " ADVISED_BY", " ADVISOR_OF", " ADVISED_BY", " PREVIOUSLY_WORKED_FOR", " ADVISOR", " PRECEEDING_WORK.", " ADVISED_BY", " PRECEEDING_WORK", " ADVISED_BY", " ADVISED_BY", " ADVISED_BY", " ADVISED_BY", " PARTNERSHIP", " ADVISOR_OF", " ESTABLISHED_PARTNERSHIPS", " PRECEEDING_WORK_WITH.", " ADVISED_BY", " PRECEEDING_WORK", " PRECEEDING_WORK_WITH", " PRECEEDING_WORK", " 'WORKED_FOR'", " PRECEEDING_WORK", " 'ADVISORY_ROLE'", " WORKED_FOR", " ADVISOR_OF", " ADVISED_BY", " EDUCATION\n\n Explanation:\n The text states that 'A", " EDUCATION\n\n Explanation:\n Amani worked with USA", " ADVISOR_OF", " ADVISOR_OF", " PRIOR_WORK", " NO_RELATION.", " ADVISED_BY", " NO_RELATION", " NO_RELATION", " AUTHOR_OF", " AUTHORED_PUBLICATION", " PUBLISHED_WORK" ]
[ [ "0", "2", "PERSON", "Amani M’Bale" ], [ "3", "9", "ORG", "the Bill & Melinda Gates Foundation" ], [ "13", "14", "PERSON", "Amani" ], [ "16", "19", "ORG", "Inclusive Financial Systems" ], [ "22", "24", "LOC", "East Africa" ], [ "26", "27", "GPE", "Kenya" ], [ "28", "29", "GPE", "Uganda" ], [ "30", "31", "GPE", "Tanzania" ], [ "35", "37", "DATE", "20 years" ], [ "42", "43", "LOC", "Africa" ], [ "48", "54", "ORG", "the Bill and Melinda Gates Foundation" ], [ "55", "56", "PERSON", "Amani" ], [ "58", "59", "ORG", "USAID" ], [ "60", "64", "ORG", "Bureau for Global Health" ], [ "66", "69", "ORG", "Digital Financial Services" ], [ "88", "90", "GPE", "United States" ], [ "92", "93", "PERSON", "Amani" ], [ "102", "108", "ORG", "the United Nations Capital Development Fund" ], [ "109", "110", "GPE", "Rwanda" ], [ "111", "112", "GPE", "Liberia" ], [ "114", "115", "GPE", "Uganda" ], [ "117", "118", "GPE", "Uganda" ], [ "118", "119", "PERSON", "Amani" ], [ "120", "127", "ORG", "the Mobile Money for the Poor Program" ], [ "133", "136", "ORG", "Bank of Uganda" ], [ "137", "140", "ORG", "Ministry of Finance" ], [ "141", "143", "ORG", "Telecommunications Ministry" ], [ "169", "170", "ORG", "UNCDF" ], [ "171", "172", "PERSON", "Amani" ], [ "179", "182", "ORG", "Catholic Relief Services" ], [ "183", "185", "ORG", "CARE International" ], [ "186", "190", "ORG", "the International Rescue Committee" ], [ "201", "202", "GPE", "Benin" ], [ "203", "204", "GPE", "Zimbabwe" ], [ "205", "206", "GPE", "Mali" ], [ "207", "209", "GPE", "Sierra Leone" ], [ "212", "214", "GPE", "East Africa" ], [ "216", "217", "PERSON", "Amani" ], [ "218", "222", "WORK_OF_ART", "a Bachelor of Arts" ], [ "223", "226", "ORG", "New York University" ], [ "227", "232", "WORK_OF_ART", "a Master of International Affairs" ], [ "233", "235", "ORG", "Columbia University" ], [ "237", "242", "WORK_OF_ART", "a Master of Business Administration" ], [ "243", "246", "ORG", "IE Business School" ], [ "247", "248", "PERSON", "Amani" ], [ "257", "258", "LANGUAGE", "Swahili" ], [ "262", "263", "LANGUAGE", "French" ], [ "273", "282", "WORK_OF_ART", "Digitizing Agricultural Payments: Uganda’s Coffee Value Chain" ], [ "284", "285", "ORG", "CGAP" ], [ "288", "300", "WORK_OF_ART", "The Role of Digital Financial Services in Accelerating USAID’s Health Goals" ], [ "302", "303", "ORG", "USAID" ] ]
32,896
32,898
[ "Fans of Star Wars have good reason to be excited today as the entire saga will be available on Blu-Ray at the end of summer. News actually broke that the saga would be available in Blu Ray at CES earlier this month; Darth Vader (we are not sure if he was the actual one) revealed that it would happen in 2011.\nA clear date in September is now available with Pre-orders already expected to draw huge sales. Amazon is offering a complete set of all six films complete with 30 hours of bonus material for £89.99, both the original trilogy and the new trilogy are available as separate bundles, each set is currently listed at £33.99 each and both have a shipment date of 27th September 2011.\nThe new Blu-Ray additions join the Attack of Clones, the CGI film that focused on the adventures of a young Anakin Skywalker – pre Darth Vader days. The film proved to be very popular with the younger generation but die hard fans failed to warm to the format; thankfully they should enjoy the ‘original’ films when they are released on Blu-Ray later this year.\nDo you think you will pre-order? If so which box set will you stump up the cash for?" ]
[ [ "Fans", "of", "Star", "Wars", "have", "good", "reason", "to", "be", "excited", "today", "as", "the", "entire", "saga", "will", "be", "available", "on", "Blu", "-", "Ray", "at", "the", "end", "of", "summer", ".", "News", "actually", "broke", "that", "the", "saga", "would", "be", "available", "in", "Blu", "Ray", "at", "CES", "earlier", "this", "month", ";", "Darth", "Vader", "(", "we", "are", "not", "sure", "if", "he", "was", "the", "actual", "one", ")", "revealed", "that", "it", "would", "happen", "in", "2011", ".", "\n", "A", "clear", "date", "in", "September", "is", "now", "available", "with", "Pre", "-", "orders", "already", "expected", "to", "draw", "huge", "sales", ".", "Amazon", "is", "offering", "a", "complete", "set", "of", "all", "six", "films", "complete", "with", "30", "hours", "of", "bonus", "material", "for", "£", "89.99", ",", "both", "the", "original", "trilogy", "and", "the", "new", "trilogy", "are", "available", "as", "separate", "bundles", ",", "each", "set", "is", "currently", "listed", "at", "£", "33.99", "each", "and", "both", "have", "a", "shipment", "date", "of", "27th", "September", "2011", ".", "\n", "The", "new", "Blu", "-", "Ray", "additions", "join", "the", "Attack", "of", "Clones", ",", "the", "CGI", "film", "that", "focused", "on", "the", "adventures", "of", "a", "young", "Anakin", "Skywalker", "–", "pre", "Darth", "Vader", "days", ".", "The", "film", "proved", "to", "be", "very", "popular", "with", "the", "younger", "generation", "but", "die", "hard", "fans", "failed", "to", "warm", "to", "the", "format", ";", "thankfully", "they", "should", "enjoy", "the", "‘", "original", "’", "films", "when", "they", "are", "released", "on", "Blu", "-", "Ray", "later", "this", "year", ".", "\n", "Do", "you", "think", "you", "will", "pre", "-", "order", "?", "If", "so", "which", "box", "set", "will", "you", "stump", "up", "the", "cash", "for", "?" ] ]
mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Fans of Star Wars have good reason to be excited today as the entire saga will be available on Blu-Ray at the end of summer. News actually broke that the saga would be available in Blu Ray at CES earlier this month; Darth Vader (we are not sure if he was the actual one) revealed that it would happen in 2011.\nA clear date in September is now available with Pre-orders already expected to draw huge sales. Amazon is offering a complete set of all six films complete with 30 hours of bonus material for £89.99, both the original trilogy and the new trilogy are available as separate bundles, each set is currently listed at £33.99 each and both have a shipment date of 27th September 2011.\nThe new Blu-Ray additions join the Attack of Clones, the CGI film that focused on the adventures of a young Anakin Skywalker – pre Darth Vader days. The film proved to be very popular with the younger generation but die hard fans failed to warm to the format; thankfully they should enjoy the ‘original’ films when they are released on Blu-Ray later this year.\nDo you think you will pre-order? If so which box set will you stump up the cash for?'] Entities: [{'head': ['2', '4', 'WORK_OF_ART', 'Star Wars'], 'tail': ['46', '48', 'PERSON', 'Darth Vader']}] Relation:
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"88", "89", "ORG", "Amazon" ] } ], [ { "head": [ "23", "27", "DATE", "the end of summer" ], "tail": [ "167", "169", "PERSON", "Anakin Skywalker" ] } ], [ { "head": [ "23", "27", "DATE", "the end of summer" ], "tail": [ "171", "173", "PERSON", "Darth Vader" ] } ], [ { "head": [ "38", "40", "PRODUCT", "Blu Ray" ], "tail": [ "46", "48", "PERSON", "Darth Vader" ] } ], [ { "head": [ "38", "40", "PRODUCT", "Blu Ray" ], "tail": [ "88", "89", "ORG", "Amazon" ] } ], [ { "head": [ "38", "40", "PRODUCT", "Blu Ray" ], "tail": [ "167", "169", "PERSON", "Anakin Skywalker" ] } ], [ { "head": [ "38", "40", "PRODUCT", "Blu Ray" ], "tail": [ "171", "173", "PERSON", "Darth Vader" ] } ], [ { "head": [ "41", "42", "EVENT", "CES" ], "tail": [ "46", "48", "PERSON", "Darth Vader" ] } ], [ { "head": [ "41", "42", "EVENT", "CES" ], "tail": [ "88", "89", "ORG", "Amazon" ] } ], [ { "head": [ "41", "42", "EVENT", "CES" ], "tail": [ "167", "169", "PERSON", "Anakin Skywalker" ] } ], [ { "head": [ "41", "42", "EVENT", "CES" ], "tail": [ "171", "173", "PERSON", "Darth Vader" ] } ], [ { "head": [ "42", "45", "DATE", "earlier this month" ], "tail": [ "46", "48", "PERSON", "Darth Vader" ] } ], [ { "head": [ "42", "45", "DATE", "earlier this month" ], "tail": [ "88", "89", "ORG", "Amazon" ] } ], [ { "head": [ "42", "45", "DATE", "earlier this month" ], "tail": [ "167", "169", "PERSON", "Anakin Skywalker" ] } ], [ { "head": [ "42", "45", "DATE", "earlier this month" ], "tail": [ "171", "173", "PERSON", "Darth Vader" ] } ], [ { "head": [ "46", "48", "PERSON", "Darth Vader" ], "tail": [ "2", "4", "WORK_OF_ART", "Star Wars" ] } ], [ { "head": [ "46", "48", "PERSON", "Darth Vader" ], "tail": [ "10", "11", "DATE", "today" ] } ], [ { "head": [ "46", "48", "PERSON", "Darth Vader" ], "tail": [ "23", "27", "DATE", "the end of summer" ] } ], [ { "head": [ "46", "48", "PERSON", "Darth Vader" ], "tail": [ "38", "40", "PRODUCT", "Blu Ray" ] } ], [ { "head": [ "46", "48", "PERSON", "Darth Vader" ], "tail": [ "41", "42", "EVENT", "CES" ] } ], [ { "head": [ "46", "48", "PERSON", "Darth Vader" ], "tail": [ "42", "45", "DATE", "earlier this month" ] } ], [ { "head": [ "46", "48", "PERSON", "Darth Vader" ], "tail": [ "66", "67", "DATE", "2011" ] } ], [ { "head": [ "46", "48", "PERSON", "Darth Vader" ], "tail": [ "73", "74", "DATE", "September" ] } ], [ { "head": [ "46", "48", "PERSON", "Darth Vader" ], "tail": [ "88", "89", "ORG", "Amazon" ] } ], [ { "head": [ "46", "48", "PERSON", "Darth Vader" ], "tail": [ "96", "97", "CARDINAL", "six" ] } ], [ { "head": [ "46", "48", "PERSON", "Darth Vader" ], "tail": [ "100", "102", "TIME", "30 hours" ] } ], [ { "head": [ "46", "48", "PERSON", "Darth Vader" ], "tail": [ "107", "108", "MONEY", "89.99" ] } ], [ { "head": [ "46", "48", "PERSON", "Darth Vader" ], "tail": [ "130", "131", "MONEY", "33.99" ] } ], [ { "head": [ "46", "48", "PERSON", "Darth Vader" ], "tail": [ "139", "142", "DATE", "27th September 2011" ] } ], [ { "head": [ "46", "48", "PERSON", "Darth Vader" ], "tail": [ "151", "155", "WORK_OF_ART", "the Attack of Clones" ] } ], [ { "head": [ "46", "48", "PERSON", "Darth Vader" ], "tail": [ "167", "169", "PERSON", "Anakin Skywalker" ] } ], [ { "head": [ "46", "48", "PERSON", "Darth Vader" ], "tail": [ "171", "173", "PERSON", "Darth Vader" ] } ], [ { "head": [ "46", "48", "PERSON", "Darth Vader" ], "tail": [ "173", "174", "DATE", "days" ] } ], [ { "head": [ "46", "48", "PERSON", "Darth Vader" ], "tail": [ "214", "217", "DATE", "later this year" ] } ], [ { "head": [ "66", "67", "DATE", "2011" ], "tail": [ "46", "48", "PERSON", "Darth Vader" ] } ], [ { "head": [ "66", "67", "DATE", "2011" ], "tail": [ "88", "89", "ORG", "Amazon" ] } ], [ { "head": [ "66", "67", "DATE", "2011" ], "tail": [ "167", "169", "PERSON", "Anakin Skywalker" ] } ], [ { "head": [ "66", "67", "DATE", "2011" ], "tail": [ "171", "173", "PERSON", "Darth Vader" ] } ], [ { "head": [ "73", "74", "DATE", "September" ], "tail": [ "46", "48", "PERSON", "Darth Vader" 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"head": [ "88", "89", "ORG", "Amazon" ], "tail": [ "66", "67", "DATE", "2011" ] } ], [ { "head": [ "88", "89", "ORG", "Amazon" ], "tail": [ "73", "74", "DATE", "September" ] } ], [ { "head": [ "88", "89", "ORG", "Amazon" ], "tail": [ "96", "97", "CARDINAL", "six" ] } ], [ { "head": [ "88", "89", "ORG", "Amazon" ], "tail": [ "100", "102", "TIME", "30 hours" ] } ], [ { "head": [ "88", "89", "ORG", "Amazon" ], "tail": [ "107", "108", "MONEY", "89.99" ] } ], [ { "head": [ "88", "89", "ORG", "Amazon" ], "tail": [ "130", "131", "MONEY", "33.99" ] } ], [ { "head": [ "88", "89", "ORG", "Amazon" ], "tail": [ "139", "142", "DATE", "27th September 2011" ] } ], [ { "head": [ "88", "89", "ORG", "Amazon" ], "tail": [ "151", "155", "WORK_OF_ART", "the Attack of Clones" ] } ], [ { "head": [ "88", "89", "ORG", "Amazon" ], "tail": [ "167", "169", "PERSON", "Anakin Skywalker" ] } ], [ { "head": [ "88", "89", "ORG", "Amazon" ], "tail": [ "171", "173", "PERSON", "Darth Vader" ] } ], [ { "head": [ "88", "89", "ORG", "Amazon" ], "tail": [ "173", "174", "DATE", "days" ] } ], [ { "head": [ "88", "89", "ORG", "Amazon" ], "tail": [ "214", "217", "DATE", "later this year" ] } ], [ { "head": [ "96", "97", "CARDINAL", "six" ], "tail": [ "46", "48", "PERSON", "Darth Vader" ] } ], [ { "head": [ "96", "97", "CARDINAL", "six" ], "tail": [ "88", "89", "ORG", "Amazon" ] } ], [ { "head": [ "96", "97", "CARDINAL", "six" ], "tail": [ "167", "169", "PERSON", "Anakin Skywalker" ] } ], [ { "head": [ "96", "97", "CARDINAL", "six" ], "tail": [ "171", "173", "PERSON", "Darth Vader" ] } ], [ { "head": [ "100", "102", "TIME", "30 hours" ], "tail": [ "46", "48", "PERSON", "Darth Vader" ] } ], [ { "head": [ "100", "102", "TIME", "30 hours" ], "tail": [ "88", "89", "ORG", "Amazon" ] } ], [ { "head": [ "100", "102", "TIME", "30 hours" ], "tail": [ "167", "169", "PERSON", "Anakin Skywalker" ] } ], [ { "head": [ "100", "102", "TIME", "30 hours" ], "tail": [ "171", "173", "PERSON", "Darth Vader" ] } ], [ { "head": [ "107", "108", "MONEY", "89.99" ], "tail": [ "46", "48", "PERSON", "Darth Vader" ] } ], [ { "head": [ "107", "108", "MONEY", "89.99" ], "tail": [ "88", "89", "ORG", "Amazon" ] } ], [ { "head": [ "107", "108", "MONEY", "89.99" ], "tail": [ "167", "169", "PERSON", "Anakin Skywalker" ] } ], [ { "head": [ "107", "108", "MONEY", "89.99" ], "tail": [ "171", "173", "PERSON", "Darth Vader" ] } ], [ { "head": [ "130", "131", "MONEY", "33.99" ], "tail": [ "46", "48", "PERSON", "Darth Vader" ] } ], [ { "head": [ "130", "131", "MONEY", "33.99" ], "tail": [ "88", "89", "ORG", "Amazon" ] } ], [ { "head": [ "130", "131", "MONEY", "33.99" ], "tail": [ "167", "169", "PERSON", "Anakin Skywalker" ] } ], [ { "head": [ "130", "131", "MONEY", "33.99" ], "tail": [ "171", "173", "PERSON", "Darth Vader" ] } ], [ { "head": [ "139", "142", "DATE", "27th September 2011" ], "tail": [ "46", "48", "PERSON", "Darth Vader" ] } ], [ { "head": [ "139", "142", "DATE", "27th September 2011" ], "tail": [ "88", "89", "ORG", "Amazon" ] } ], [ { "head": [ "139", "142", "DATE", "27th September 2011" ], "tail": [ "167", "169", "PERSON", "Anakin Skywalker" ] } ], [ { "head": [ "139", "142", "DATE", "27th September 2011" ], "tail": [ "171", "173", "PERSON", "Darth Vader" ] } ], [ { "head": [ "151", "155", "WORK_OF_ART", "the Attack of Clones" ], "tail": [ "46", "48", "PERSON", "Darth Vader" ] } ], [ { "head": [ "151", "155", "WORK_OF_ART", "the Attack of Clones" ], "tail": [ "88", "89", "ORG", "Amazon" ] } ], [ { "head": [ "151", "155", "WORK_OF_ART", "the Attack of Clones" ], "tail": [ "167", "169", "PERSON", "Anakin Skywalker" ] } ], [ { "head": [ "151", "155", "WORK_OF_ART", "the Attack of Clones" ], "tail": [ "171", "173", "PERSON", "Darth Vader" ] } ], [ { "head": [ "167", "169", "PERSON", "Anakin Skywalker" ], "tail": [ "2", "4", "WORK_OF_ART", "Star Wars" ] } ], [ { "head": [ "167", "169", "PERSON", "Anakin Skywalker" ], "tail": [ "10", "11", "DATE", "today" ] } ], [ { "head": [ "167", "169", "PERSON", 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"CARDINAL", "six" ] } ], [ { "head": [ "171", "173", "PERSON", "Darth Vader" ], "tail": [ "100", "102", "TIME", "30 hours" ] } ], [ { "head": [ "171", "173", "PERSON", "Darth Vader" ], "tail": [ "107", "108", "MONEY", "89.99" ] } ], [ { "head": [ "171", "173", "PERSON", "Darth Vader" ], "tail": [ "130", "131", "MONEY", "33.99" ] } ], [ { "head": [ "171", "173", "PERSON", "Darth Vader" ], "tail": [ "139", "142", "DATE", "27th September 2011" ] } ], [ { "head": [ "171", "173", "PERSON", "Darth Vader" ], "tail": [ "151", "155", "WORK_OF_ART", "the Attack of Clones" ] } ], [ { "head": [ "171", "173", "PERSON", "Darth Vader" ], "tail": [ "167", "169", "PERSON", "Anakin Skywalker" ] } ], [ { "head": [ "171", "173", "PERSON", "Darth Vader" ], "tail": [ "173", "174", "DATE", "days" ] } ], [ { "head": [ "171", "173", "PERSON", "Darth Vader" ], "tail": [ "214", "217", "DATE", "later this year" ] } ], [ { "head": [ "173", "174", "DATE", "days" ], "tail": [ "46", "48", "PERSON", "Darth Vader" ] } ], [ { "head": [ "173", "174", "DATE", "days" ], "tail": [ "88", "89", "ORG", "Amazon" ] } ], [ { "head": [ "173", "174", "DATE", "days" ], "tail": [ "167", "169", "PERSON", "Anakin Skywalker" ] } ], [ { "head": [ "173", "174", "DATE", "days" ], "tail": [ "171", "173", "PERSON", "Darth Vader" ] } ], [ { "head": [ "214", "217", "DATE", "later this year" ], "tail": [ "46", "48", "PERSON", "Darth Vader" ] } ], [ { "head": [ "214", "217", "DATE", "later this year" ], "tail": [ "88", "89", "ORG", "Amazon" ] } ], [ { "head": [ "214", "217", "DATE", "later this year" ], "tail": [ "167", "169", "PERSON", "Anakin Skywalker" ] } ], [ { "head": [ "214", "217", "DATE", "later this year" ], "tail": [ "171", "173", "PERSON", "Darth Vader" ] } ] ]
[ " SUBJECT_OF\n\n Explanation:\n The text mentions that '", " SELLS", " FOCUSED_ON", " REVEALED_BY", " ANNOUNCED_BY", " PREDICTED_RELATION: SALES_FROM\n # The text", " FAN_OF", " ANNOUNCED_BY", " REVEALED_BY", " SELLER_OF\n\n Explanation:\n The text states that Amazon", " AVAILABLE_FOR_SALE_FROM\n\n Explanation:\n ", " REVEALED_BY", " AVAILABLE_FOR_SALE_FROM", " SELLS", " NEW_PRODUCT_OF\n\n Explanation:\n The text states that", " REVEALED_BY", " REVEALED_BY", " SELLER_OF\n\n Explanation:\n The text states that \"", " ANNOUNCED_AT.", " REVEALED_BY", " REVEALED_BY", " PREDICTED: ANNOUNCED_BY\n CORRECT AN", " ANNOUNCED_BY", " REVEALED_BY", " AVAILABLE_FOR_CREATION_OF # 'Darth Vader' is available", " ANNOUNCED_ON.", " AVAILABLE_AT_TIME", " REVEALED_PRODUCT", " REVEALED_AT", " REVEALED_DATE", " REVEALED_DATE", " AVAILABLE_DATE", " SELLS", " REVEALED_IN_EVENT\n\n Explanation:\n Darth", " REVEALED_IN_TIME", " COSTS\n\n Explanation:\n The text states that \"Amazon", " COSTS\n\n Entities: \n [{'head': ['46", " RELEASE_DATE", " REVEALED_WORK_OF_ART_BY_PERSON", " PREDECESSOR", " REVEALED_BY", " REVEALED_IN.", " RELEASED_IN_YEARS", " REVEALED_BY", " PREDICTS_AVAILABILITY_AT", " RELEASED_AFTER", " REVEALED_BY", " REVEALED_BY", " SELLER_OF\n\n Explanation:\n The text states that Amazon", " RELEASED_FROM\n\n Explanation:\n The text states that \"", " REVEALED_BY", " SELLS\n\n Explanation:\n The text states that Amazon is selling", " AVAILABLE_FOR_SALE_AT\n\n Explanation:\n ", " AVAILABLE_FOR_SALE_AT", " SELLS\n\n Explanation:\n The text mentions that Amazon is", " ANNOUNCED_AT.", " ANNOUNCED_AT.", " SELLS_PRODUCT_TO\n\n Explanation:\n The text", " SELLING_DATE", " OFFERS_DATE", " SELLS\n\n Explanation:\n The text states that Amazon is selling", " OFFERING_TIME_FOR_PRODUCT", " SELLS_FOR\n\n Explanation:\n The text states that Amazon", " SELLS_FOR\n\n Explanation:\n The text mentions that", " SELLER_DATE", " SELLS\n\n Explanation:\n The text mentions that Amazon is", " SELLS_PRODUCT\n\n Explanation:\n The text mentions", " SELLS_PRODUCT_TO\n\n Explanation:\n In the", " OFFERS_DATE", " SELLER_WILL_PROVIDE_ITEM_LATER", " OWNED_BY", " SELLS", " INCLUDES\n\n Explanation:\n The text states that \"The", " AVAILABLE_FOR_SALE_FROM", " PROVIDES_EXTRA_MATERIALS_FOR", " SELLS_PRODUCTS_TO\n\n Explanation:\n The", " INCLUDES\n\n Explanation:\n The text states that \"The", " PROVIDES_EXTRA_MATERIAL_FOR\n\n Explanation:\n", " SELLER_OF\n\n Explanation:\n In the text, it", " SELLS", " COSTS", " SELLER_OF\n\n Explanation:\n The text states that \"", " COSTS\n\n Explanation:\n The text states that \"each set", " SELLS", " COSTS\n\n Entities: \n [{'head': ['13", " COSTS\n\n Or\n\n [{'head': ['130',", " REVEALED_BY", " SHIPS_FROM", " RELEASE_DATE_OF_FILM", " REVEALED_BY", " SUBJECT_OF\n\n Explanation:\n The text mentions that \"", " SELLS", " SUBJECT_OF\n\n Explanation:\n The text states that \"The", " SUBJECT_OF\n\n Explanation:\n The text mentions that \"", " PART_OF\n\n Explanation:\n The text states that \"The new", " EXISTED_AT.\n\n Entities: \n [{'head':", " RELEASE_DATE_OF_WORK. This is the relation between Anakin Skywalk", " PRODUCED_BY", " BROKE_AT. This is the relation between the entity that broke the news and the", " REVEALED_DATE", " PREDECESSOR", " PRECEDED_BY", " JOINS", " SELLS", " ADDED_TO\n\n Explanation:\n The text states that \"The", " PRODUCED_DURING", " COSTS\n\n Explanation:\n The text states that \"Amazon", " COSTS\n\n Entities: \n [{'head': ['13", " RELEASE_DATE", " SUBJECT_OF\n\n Explanation:\n The text states that \"The", " PREDECESSOR", " PRECEDED_BY", " RELEASED_IN_YEARS", " REVEALED_INFORMATION_ABOUT", " EXISTED_AT", " AVAILABLE_AT_TIME", " REVEALED_PRODUCT", " REVEALED_AT", " REVEALED_DATE", " REVEALED_IDENTITY", " REVEALED_DATE", " AVAILABLE_DATE", " SELLS", " REVEALED_IN_EVENT\n\n Explanation:\n Darth", " REVEALED_IN_TIME", " COSTS\n\n Explanation:\n Darth Vader costs 8", " COSTS\n\n Entities: \n [{'head': ['17", " RELEASE_DATE", " REVEALED_WORK_OF_ART_BY_PERSON", " PREDECESSOR", " REVEALED_IN_DAYS", " RELEASED_IN_YEARS", " REVEALED_BY", " PREDICTS_AVAILABILITY_AT", " PRECEDED_BY", " REVEALED_BY", " REVEALED_BY", " SELLER_OF\n\n Explanation:\n The text states that Amazon", " REPLACE_ME\n\n The relation between the entities is:\n AVAIL", " REVEALED_BY" ]
[ [ "2", "4", "WORK_OF_ART", "Star Wars" ], [ "10", "11", "DATE", "today" ], [ "23", "27", "DATE", "the end of summer" ], [ "38", "40", "PRODUCT", "Blu Ray" ], [ "41", "42", "EVENT", "CES" ], [ "42", "45", "DATE", "earlier this month" ], [ "46", "48", "PERSON", "Darth Vader" ], [ "66", "67", "DATE", "2011" ], [ "73", "74", "DATE", "September" ], [ "88", "89", "ORG", "Amazon" ], [ "96", "97", "CARDINAL", "six" ], [ "100", "102", "TIME", "30 hours" ], [ "107", "108", "MONEY", "89.99" ], [ "130", "131", "MONEY", "33.99" ], [ "139", "142", "DATE", "27th September 2011" ], [ "151", "155", "WORK_OF_ART", "the Attack of Clones" ], [ "167", "169", "PERSON", "Anakin Skywalker" ], [ "171", "173", "PERSON", "Darth Vader" ], [ "173", "174", "DATE", "days" ], [ "214", "217", "DATE", "later this year" ] ]
32,897
32,899
[ "A client came to Gounaris Abboud for the second time recently. During his junior at the University of Dayton, this individual was arrested for intoxication and charged with an offense. At that time, he came to our firm, and was able to leave the court room with the case dismissed.\nNot long ago, this same client called us once again. The individual was arrested when he was on his way home from a bar at about 2:00 a.m. The University student stopped to take a break from walking and was sitting on the ground when University police discovered him. Naturally, they were concerned about his state. He was sitting in a campus parking lot when discovered. The police called a medic to give him the medical attention that they thought that he needed.\nOur client was given a medical evaluation, and then transported to a hospital for treatment because he had a dangerously high BAC. During this entire process, our client was allegedly hostile and belligerent. He berated responding officers, EMT’s, and hospital staff. The client was held for observation overnight but was released the next day. He received a disorderly conduct charge because of his attitude during the entire process.\nAfter calling Gounaris Abboud, this client had nothing to worry about. Our firm negotiated with the individual and the prosecution and was able to get all charges dropped. After two successful cases with this client, Gounaris Abboud are proud to report that the student graduated the University of Dayton with a clear criminal record despite the fact that he faced a number of alcohol-related charges while he was a student. If you are facing any alcohol-related offenses or a disorderly conduct charge then you also need to contact an attorney for more information. Hire a Dayton criminal defense lawyer today if you want assistance in your case!" ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['A client came to Gounaris Abboud for the second time recently. During his junior at the University of Dayton, this individual was arrested for intoxication and charged with an offense. At that time, he came to our firm, and was able to leave the court room with the case dismissed.\nNot long ago, this same client called us once again. The individual was arrested when he was on his way home from a bar at about 2:00 a.m. The University student stopped to take a break from walking and was sitting on the ground when University police discovered him. Naturally, they were concerned about his state. He was sitting in a campus parking lot when discovered. The police called a medic to give him the medical attention that they thought that he needed.\nOur client was given a medical evaluation, and then transported to a hospital for treatment because he had a dangerously high BAC. During this entire process, our client was allegedly hostile and belligerent. He berated responding officers, EMT’s, and hospital staff. The client was held for observation overnight but was released the next day. He received a disorderly conduct charge because of his attitude during the entire process.\nAfter calling Gounaris Abboud, this client had nothing to worry about. Our firm negotiated with the individual and the prosecution and was able to get all charges dropped. After two successful cases with this client, Gounaris Abboud are proud to report that the student graduated the University of Dayton with a clear criminal record despite the fact that he faced a number of alcohol-related charges while he was a student. If you are facing any alcohol-related offenses or a disorderly conduct charge then you also need to contact an attorney for more information. Hire a Dayton criminal defense lawyer today if you want assistance in your case!'] Entities: [{'head': ['4', '6', 'PERSON', 'Gounaris Abboud'], 'tail': ['8', '9', 'ORDINAL', 'second']}] Relation:
[ [ { "head": [ "4", "6", "PERSON", "Gounaris Abboud" ], "tail": [ "8", "9", "ORDINAL", "second" ] } ], [ { "head": [ "4", "6", "PERSON", "Gounaris Abboud" ], "tail": [ "14", "15", "DATE", "junior" ] } ], [ { "head": [ "4", "6", "PERSON", "Gounaris Abboud" ], "tail": [ "16", "20", "ORG", "the University of Dayton" ] } ], [ { "head": [ "4", "6", "PERSON", "Gounaris Abboud" ], "tail": [ "84", "87", "TIME", "about 2:00 a.m." ] } ], [ { "head": [ "4", "6", "PERSON", "Gounaris Abboud" ], "tail": [ "88", "89", "ORG", "University" ] } ], [ { "head": [ "4", "6", "PERSON", "Gounaris Abboud" ], "tail": [ "104", "105", "ORG", "University" ] } ], [ { "head": [ "4", "6", "PERSON", "Gounaris Abboud" ], "tail": [ "203", "204", "TIME", "overnight" ] } ], [ { "head": [ "4", "6", "PERSON", "Gounaris Abboud" ], "tail": [ "207", "210", "DATE", "the next day" ] } ], [ { "head": [ "4", "6", "PERSON", "Gounaris Abboud" ], "tail": [ "229", "231", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "4", "6", "PERSON", "Gounaris Abboud" ], "tail": [ "259", "260", "CARDINAL", "two" ] } ], [ { "head": [ "4", "6", "PERSON", "Gounaris Abboud" ], "tail": [ "266", "268", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "4", "6", "PERSON", "Gounaris Abboud" ], "tail": [ "276", "280", "ORG", "the University of Dayton" ] } ], [ { "head": [ "4", "6", "PERSON", "Gounaris Abboud" ], "tail": [ "332", "333", "GPE", "Dayton" ] } ], [ { "head": [ "4", "6", "PERSON", "Gounaris Abboud" ], "tail": [ "336", "337", "DATE", "today" ] } ], [ { "head": [ "8", "9", "ORDINAL", "second" ], "tail": [ "4", "6", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "8", "9", "ORDINAL", "second" ], "tail": [ "16", "20", "ORG", "the University of Dayton" ] } ], [ { "head": [ "8", "9", "ORDINAL", "second" ], "tail": [ "88", "89", "ORG", "University" ] } ], [ { "head": [ "8", "9", "ORDINAL", "second" ], "tail": [ "104", "105", "ORG", "University" ] } ], [ { "head": [ "8", "9", "ORDINAL", "second" ], "tail": [ "229", "231", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "8", "9", "ORDINAL", "second" ], "tail": [ "266", "268", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "8", "9", "ORDINAL", "second" ], "tail": [ "276", "280", "ORG", "the University of Dayton" ] } ], [ { "head": [ "8", "9", "ORDINAL", "second" ], "tail": [ "332", "333", "GPE", "Dayton" ] } ], [ { "head": [ "14", "15", "DATE", "junior" ], "tail": [ "4", "6", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "14", "15", "DATE", "junior" ], "tail": [ "16", "20", "ORG", "the University of Dayton" ] } ], [ { "head": [ "14", "15", "DATE", "junior" ], "tail": [ "88", "89", "ORG", "University" ] } ], [ { "head": [ "14", "15", "DATE", "junior" ], "tail": [ "104", "105", "ORG", "University" ] } ], [ { "head": [ "14", "15", "DATE", "junior" ], "tail": [ "229", "231", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "14", "15", "DATE", "junior" ], "tail": [ "266", "268", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "14", "15", "DATE", "junior" ], "tail": [ "276", "280", "ORG", "the University of Dayton" ] } ], [ { "head": [ "14", "15", "DATE", "junior" ], "tail": [ "332", "333", "GPE", "Dayton" ] } ], [ { "head": [ "16", "20", "ORG", "the University of Dayton" ], "tail": [ "4", "6", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "16", "20", "ORG", "the University of Dayton" ], "tail": [ "8", "9", "ORDINAL", "second" ] } ], [ { "head": [ "16", "20", "ORG", "the University of Dayton" ], "tail": [ "14", "15", "DATE", "junior" ] } ], [ { "head": [ "16", "20", "ORG", "the University of Dayton" ], "tail": [ "84", "87", "TIME", "about 2:00 a.m." ] } ], [ { "head": [ "16", "20", "ORG", "the University of Dayton" ], "tail": [ "88", "89", "ORG", "University" ] } ], [ { "head": [ "16", "20", "ORG", "the University of Dayton" ], "tail": [ "104", "105", "ORG", "University" ] } ], [ { "head": [ "16", "20", "ORG", "the University of Dayton" ], "tail": [ "203", "204", "TIME", "overnight" ] } ], [ { "head": [ "16", "20", "ORG", "the University of Dayton" ], "tail": [ "207", "210", "DATE", "the next day" ] } ], [ { "head": [ "16", "20", "ORG", "the University of Dayton" ], "tail": [ "229", "231", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "16", "20", "ORG", "the University of Dayton" ], "tail": [ "259", "260", "CARDINAL", "two" ] } ], [ { "head": [ "16", "20", "ORG", "the University of Dayton" ], "tail": [ "266", "268", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "16", "20", "ORG", "the University of Dayton" ], "tail": [ "276", "280", "ORG", "the University of Dayton" ] } ], [ { "head": [ "16", "20", "ORG", "the University of Dayton" ], "tail": [ "332", "333", "GPE", "Dayton" ] } ], [ { "head": [ "16", "20", "ORG", "the University of Dayton" ], "tail": [ "336", "337", "DATE", "today" ] } ], [ { "head": [ "84", "87", "TIME", "about 2:00 a.m." ], "tail": [ "4", "6", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "84", "87", "TIME", "about 2:00 a.m." ], "tail": [ "16", "20", "ORG", "the University of Dayton" ] } ], [ { "head": [ "84", "87", "TIME", "about 2:00 a.m." ], "tail": [ "88", "89", "ORG", "University" ] } ], [ { "head": [ "84", "87", "TIME", "about 2:00 a.m." ], "tail": [ "104", "105", "ORG", "University" ] } ], [ { "head": [ "84", "87", "TIME", "about 2:00 a.m." ], "tail": [ "229", "231", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "84", "87", "TIME", "about 2:00 a.m." ], "tail": [ "266", "268", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "84", "87", "TIME", "about 2:00 a.m." ], "tail": [ "276", "280", "ORG", "the University of Dayton" ] } ], [ { "head": [ "84", "87", "TIME", "about 2:00 a.m." ], "tail": [ "332", "333", "GPE", "Dayton" ] } ], [ { "head": [ "88", "89", "ORG", "University" ], "tail": [ "4", "6", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "88", "89", "ORG", "University" ], "tail": [ "8", "9", "ORDINAL", "second" ] } ], [ { "head": [ "88", "89", "ORG", "University" ], "tail": [ "14", "15", "DATE", "junior" ] } ], [ { "head": [ "88", "89", "ORG", "University" ], "tail": [ "16", "20", "ORG", "the University of Dayton" ] } ], [ { "head": [ "88", "89", "ORG", "University" ], "tail": [ "84", "87", "TIME", "about 2:00 a.m." ] } ], [ { "head": [ "88", "89", "ORG", "University" ], "tail": [ "104", "105", "ORG", "University" ] } ], [ { "head": [ "88", "89", "ORG", "University" ], "tail": [ "203", "204", "TIME", "overnight" ] } ], [ { "head": [ "88", "89", "ORG", "University" ], "tail": [ "207", "210", "DATE", "the next day" ] } ], [ { "head": [ "88", "89", "ORG", "University" ], "tail": [ "229", "231", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "88", "89", "ORG", "University" ], "tail": [ "259", "260", "CARDINAL", "two" ] } ], [ { "head": [ "88", "89", "ORG", "University" ], "tail": [ "266", "268", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "88", "89", "ORG", "University" ], "tail": [ "276", "280", "ORG", "the University of Dayton" ] } ], [ { "head": [ "88", "89", "ORG", "University" ], "tail": [ "332", "333", "GPE", "Dayton" ] } ], [ { "head": [ "88", "89", "ORG", "University" ], "tail": [ "336", "337", "DATE", "today" ] } ], [ { "head": [ "104", "105", "ORG", "University" ], "tail": [ "4", "6", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "104", "105", "ORG", "University" ], "tail": [ "8", "9", "ORDINAL", "second" ] } ], [ { "head": [ "104", "105", "ORG", "University" ], "tail": [ "14", "15", "DATE", "junior" ] } ], [ { "head": [ "104", "105", "ORG", "University" ], "tail": [ "16", "20", "ORG", "the University of Dayton" ] } ], [ { "head": [ "104", "105", "ORG", "University" ], "tail": [ "84", "87", "TIME", "about 2:00 a.m." ] } ], [ { "head": [ "104", "105", "ORG", "University" ], "tail": [ "88", "89", "ORG", "University" ] } ], [ { "head": [ "104", "105", "ORG", "University" ], "tail": [ "203", "204", "TIME", "overnight" ] } ], [ { "head": [ "104", "105", "ORG", "University" ], "tail": [ "207", "210", "DATE", "the next day" ] } ], [ { "head": [ "104", "105", "ORG", "University" ], "tail": [ "229", "231", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "104", "105", "ORG", "University" ], "tail": [ "259", "260", "CARDINAL", "two" ] } ], [ { "head": [ "104", "105", "ORG", "University" ], "tail": [ "266", "268", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "104", "105", "ORG", "University" ], "tail": [ "276", "280", "ORG", "the University of Dayton" ] } ], [ { "head": [ "104", "105", "ORG", "University" ], "tail": [ "332", "333", "GPE", "Dayton" ] } ], [ { "head": [ "104", "105", "ORG", "University" ], "tail": [ "336", "337", "DATE", "today" ] } ], [ { "head": [ "203", "204", "TIME", "overnight" ], "tail": [ "4", "6", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "203", "204", "TIME", "overnight" ], "tail": [ "16", "20", "ORG", "the University of Dayton" ] } ], [ { "head": [ "203", "204", "TIME", "overnight" ], "tail": [ "88", "89", "ORG", "University" ] } ], [ { "head": [ "203", "204", "TIME", "overnight" ], "tail": [ "104", "105", "ORG", "University" ] } ], [ { "head": [ "203", "204", "TIME", "overnight" ], "tail": [ "229", "231", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "203", "204", "TIME", "overnight" ], "tail": [ "266", "268", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "203", "204", "TIME", "overnight" ], "tail": [ "276", "280", "ORG", "the University of Dayton" ] } ], [ { "head": [ "203", "204", "TIME", "overnight" ], "tail": [ "332", "333", "GPE", "Dayton" ] } ], [ { "head": [ "207", "210", "DATE", "the next day" ], "tail": [ "4", "6", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "207", "210", "DATE", "the next day" ], "tail": [ "16", "20", "ORG", "the University of Dayton" ] } ], [ { "head": [ "207", "210", "DATE", "the next day" ], "tail": [ "88", "89", "ORG", "University" ] } ], [ { "head": [ "207", "210", "DATE", "the next day" ], "tail": [ "104", "105", "ORG", "University" ] } ], [ { "head": [ "207", "210", "DATE", "the next day" ], "tail": [ "229", "231", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "207", "210", "DATE", "the next day" ], "tail": [ "266", "268", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "207", "210", "DATE", "the next day" ], "tail": [ "276", "280", "ORG", "the University of Dayton" ] } ], [ { "head": [ "207", "210", "DATE", "the next day" ], "tail": [ "332", "333", "GPE", "Dayton" ] } ], [ { "head": [ "229", "231", "PERSON", "Gounaris Abboud" ], "tail": [ "4", "6", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "229", "231", "PERSON", "Gounaris Abboud" ], "tail": [ "8", "9", "ORDINAL", "second" ] } ], [ { "head": [ "229", "231", "PERSON", "Gounaris Abboud" ], "tail": [ "14", "15", "DATE", "junior" ] } ], [ { "head": [ "229", "231", "PERSON", "Gounaris Abboud" ], "tail": [ "16", "20", "ORG", "the University of Dayton" ] } ], [ { "head": [ "229", "231", "PERSON", "Gounaris Abboud" ], "tail": [ "84", "87", "TIME", "about 2:00 a.m." ] } ], [ { "head": [ "229", "231", "PERSON", "Gounaris Abboud" ], "tail": [ "88", "89", "ORG", "University" ] } ], [ { "head": [ 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"259", "260", "CARDINAL", "two" ], "tail": [ "16", "20", "ORG", "the University of Dayton" ] } ], [ { "head": [ "259", "260", "CARDINAL", "two" ], "tail": [ "88", "89", "ORG", "University" ] } ], [ { "head": [ "259", "260", "CARDINAL", "two" ], "tail": [ "104", "105", "ORG", "University" ] } ], [ { "head": [ "259", "260", "CARDINAL", "two" ], "tail": [ "229", "231", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "259", "260", "CARDINAL", "two" ], "tail": [ "266", "268", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "259", "260", "CARDINAL", "two" ], "tail": [ "276", "280", "ORG", "the University of Dayton" ] } ], [ { "head": [ "259", "260", "CARDINAL", "two" ], "tail": [ "332", "333", "GPE", "Dayton" ] } ], [ { "head": [ "266", "268", "PERSON", "Gounaris Abboud" ], "tail": [ "4", "6", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "266", "268", "PERSON", "Gounaris Abboud" ], "tail": [ "8", "9", "ORDINAL", "second" ] } ], [ { "head": [ "266", "268", "PERSON", "Gounaris Abboud" ], "tail": [ "14", "15", "DATE", "junior" ] } ], [ { "head": [ "266", "268", "PERSON", "Gounaris Abboud" ], "tail": [ "16", "20", "ORG", "the University of Dayton" ] } ], [ { "head": [ "266", "268", "PERSON", "Gounaris Abboud" ], "tail": [ "84", "87", "TIME", "about 2:00 a.m." ] } ], [ { "head": [ "266", "268", "PERSON", "Gounaris Abboud" ], "tail": [ "88", "89", "ORG", "University" ] } ], [ { "head": [ "266", "268", "PERSON", "Gounaris Abboud" ], "tail": [ "104", "105", "ORG", "University" ] } ], [ { "head": [ "266", "268", "PERSON", "Gounaris Abboud" ], "tail": [ "203", "204", "TIME", "overnight" ] } ], [ { "head": [ "266", "268", "PERSON", "Gounaris Abboud" ], "tail": [ "207", "210", "DATE", "the next day" ] } ], [ { "head": [ "266", "268", "PERSON", "Gounaris Abboud" ], "tail": [ "229", "231", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "266", "268", "PERSON", "Gounaris Abboud" ], "tail": [ "259", "260", "CARDINAL", "two" ] } ], [ { "head": [ "266", "268", "PERSON", "Gounaris Abboud" ], "tail": [ "276", "280", "ORG", "the University of Dayton" ] } ], [ { "head": [ "266", "268", "PERSON", "Gounaris Abboud" ], "tail": [ "332", "333", "GPE", "Dayton" ] } ], [ { "head": [ "266", "268", "PERSON", "Gounaris Abboud" ], "tail": [ "336", "337", "DATE", "today" ] } ], [ { "head": [ "276", "280", "ORG", "the University of Dayton" ], "tail": [ "4", "6", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "276", "280", "ORG", "the University of Dayton" ], "tail": [ "8", "9", "ORDINAL", "second" ] } ], [ { "head": [ "276", "280", "ORG", "the University of Dayton" ], "tail": [ "14", "15", "DATE", "junior" ] } ], [ { "head": [ "276", "280", "ORG", "the University of Dayton" ], "tail": [ "16", "20", "ORG", "the University of Dayton" ] } ], [ { "head": [ "276", "280", "ORG", "the University of Dayton" ], "tail": [ "84", "87", "TIME", "about 2:00 a.m." ] } ], [ { "head": [ "276", "280", "ORG", "the University of Dayton" ], "tail": [ "88", "89", "ORG", "University" ] } ], [ { "head": [ "276", "280", "ORG", "the University of Dayton" ], "tail": [ "104", "105", "ORG", "University" ] } ], [ { "head": [ "276", "280", "ORG", "the University of Dayton" ], "tail": [ "203", "204", "TIME", "overnight" ] } ], [ { "head": [ "276", "280", "ORG", "the University of Dayton" ], "tail": [ "207", "210", "DATE", "the next day" ] } ], [ { "head": [ "276", "280", "ORG", "the University of Dayton" ], "tail": [ "229", "231", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "276", "280", "ORG", "the University of Dayton" ], "tail": [ "259", "260", "CARDINAL", "two" ] } ], [ { "head": [ "276", "280", "ORG", "the University of Dayton" ], "tail": [ "266", "268", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "276", "280", "ORG", "the University of Dayton" ], "tail": [ "332", "333", "GPE", "Dayton" ] } ], [ { "head": [ "276", "280", "ORG", "the University of Dayton" ], "tail": [ "336", "337", "DATE", "today" ] } ], [ { "head": [ "332", "333", "GPE", "Dayton" ], "tail": [ "4", "6", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "332", "333", "GPE", "Dayton" ], "tail": [ "8", "9", "ORDINAL", "second" ] } ], [ { "head": [ "332", "333", "GPE", "Dayton" ], "tail": [ "14", "15", "DATE", "junior" ] } ], [ { "head": [ "332", "333", "GPE", "Dayton" ], "tail": [ "16", "20", "ORG", "the University of Dayton" ] } ], [ { "head": [ "332", "333", "GPE", "Dayton" ], "tail": [ "84", "87", "TIME", "about 2:00 a.m." ] } ], [ { "head": [ "332", "333", "GPE", "Dayton" ], "tail": [ "88", "89", "ORG", "University" ] } ], [ { "head": [ "332", "333", "GPE", "Dayton" ], "tail": [ "104", "105", "ORG", "University" ] } ], [ { "head": [ "332", "333", "GPE", "Dayton" ], "tail": [ "203", "204", "TIME", "overnight" ] } ], [ { "head": [ "332", "333", "GPE", "Dayton" ], "tail": [ "207", "210", "DATE", "the next day" ] } ], [ { "head": [ "332", "333", "GPE", "Dayton" ], "tail": [ "229", "231", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "332", "333", "GPE", "Dayton" ], "tail": [ "259", "260", "CARDINAL", "two" ] } ], [ { "head": [ "332", "333", "GPE", "Dayton" ], "tail": [ "266", "268", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "332", "333", "GPE", "Dayton" ], "tail": [ "276", "280", "ORG", "the University of Dayton" ] } ], [ { "head": [ "332", "333", "GPE", "Dayton" ], "tail": [ "336", "337", "DATE", "today" ] } ], [ { "head": [ "336", "337", "DATE", "today" ], "tail": [ "4", "6", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "336", "337", "DATE", "today" ], "tail": [ "16", "20", "ORG", "the University of Dayton" ] } ], [ { "head": [ "336", "337", "DATE", "today" ], "tail": [ "88", "89", "ORG", "University" ] } ], [ { "head": [ "336", "337", "DATE", "today" ], "tail": [ "104", "105", "ORG", "University" ] } ], [ { "head": [ "336", "337", "DATE", "today" ], "tail": [ "229", "231", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "336", "337", "DATE", "today" ], "tail": [ "266", "268", "PERSON", "Gounaris Abboud" ] } ], [ { "head": [ "336", "337", "DATE", "today" ], "tail": [ "276", "280", "ORG", "the University of Dayton" ] } ], [ { "head": [ "336", "337", "DATE", "today" ], "tail": [ "332", "333", "GPE", "Dayton" ] } ] ]
[ " LEGAL_REPRESENTATIVE_FOR_CLIENT", " REPRESENTED_BY", " LEGAL_REPRESENTATIVE_OF", " CAME_AT. This relation indicates that the head entity (Gounaris Abboud)", " REPRESENTED_BY", " REPRESENTED_BY", " HELD", " RELEASED", " LAWYER_FOR\n\n Explanation:\n The text describes a", " REPEATED_CLIENT", " LAWYER_FOR\n\n Explanation:\n The text describes a", " REPRESENTED_BY", " SERVES_IN_LOCATION", " NO_RELATION", " CAME_TO", " ATTENDED\n\n Explanation:\n The text states that the client", " CAME_FROM", " CAME_FROM\n\n Explanation:\n The text describes that the client", " CONSULTED_BY", " CONSULTED", " UNIVERSITY_STUDENT_OF\n (Note: The relation label is", " CAME_FROM", " CONTACTED_BY\n or\n HIRED\n\n Explan", " ATTENDED\n\n Entities: \n [{'head': ['1", " STUDENT_AT.", " STUDENT_AT.", " CONSULTED_BY (or HIRED)", " CONTACTED_BY", " ATTENDED\n\n Entities: \n [{'head': ['2", " STUDENT_AT.", " CLIENT_OF", " PREVIOUS_UNIVERSITY_ATTENDANCE", " ATTENDED\n\n Entities: \n [{'head': ['1", " CAUSED_BY", " EDUCATED_AT", " EDUCATED_AT", " HELD_FOR_OBSERVATION", " RELEASED_DATE", " CLIENT_OF", " UNIVERSITY_ATTENDED", " CLIENT_OF", " STUDENT_OF", " EDUCATED_AT", " NO_RELATION. The text does not provide enough context to determine a relation between the University", " CONTACTED", " ARRESTED_AT.\n This client was arrested at the University of Dayton", " ARRESTED_AT.\n This client was arrested at the University.", " ARRESTED_AT.\n This client was arrested at the University.", " CONTACTED", " CONTACTED", " ARRESTED_AT.\n This client was arrested at the University of Dayton", " ARRESTED_AT_LOCATION", " REPRESENTED_BY", " CAME_BEFORE", " STUDENT_AT.", " EDUCATED_AT", " ARRESTED_AT\n OR\n ARRESTED_NEAR\n", " ATTENDED_BY\n OR:\n AFFILIATED_WITH", " HELD", " RELEASED", " LEGAL_REPRESENTATIVE", " VISITED_N_TIMES", " LEGAL_REPRESENTATIVE", " EDU_AT\n\n Explanation:\n The text describes a client who", " LOCATION_IN. 'University of Dayton' is located_in 'Day", " CALLS_FOR_LEGAL_SERVICES", " REPRESENTED_BY", " CAME_BEFORE.", " STUDENT_AT\n\n Entities: \n [{'head': ['", " EDUCATED_AT", " ARRESTED_AT.", " ATTENDED_BY\n or\n STUDENT_AT\n\n ", " HELD_FOR", " RELEASED", " LEGAL_REPRESENTATIVE", " VISITED_PLACE_X_TIMES", " CLIENT_OF", " EDU_AT\n\n Explanation:\n The text states that the individual", " LOCATION_IN. 'University of Dayton' is located_in 'Day", " CALLS_FOR_LEGAL_SERVICES", " HELD_BY", " STAYED_AT", " HELD_AT", " OBSERVED_AT", " HELPED", " HELPED", " HELD_AT", " RELEASED_FROM_CUSTODY_AT_LOCATION", " REPRESENTED_BY", " GRADUATED_FROM", " RELEASED_FROM_CUSTODY_BY", " RELEASED_FROM_CUSTODY_BY", " RELEASED_BY", " RELEASED_CLIENT", " GRADUATED_FROM", " RELEASED_FROM_CUSTODY_AT_LOCATION", " REPEAT_CLIENT", " LAWYER_FOR_PERSON", " CONTACTED_FOR_LEGAL_SERVICES_PREVIOUS", " LEGAL_REPRESENTATIVE_OF", " MEETING", " REPRESENTED_BY", " REPRESENTED_BY", " HELD", " RELEASED", " REPEAT_CLIENT", " LAWYER_FOR\n\n Entities: \n [{'head':", " LEGAL_REPRESENTATIVE_OF", " SERVES_IN. This is because the text states that \"individual was able", " NO_RELATION", " CLIENT_OF", " STUDENT_OF", " STUDENT_OF", " ATTENDED\n\n Explanation:\n The text states that the individual", " CLIENT_OF", " CLIENT_OF", " STUDENT_OF", " GRADUATED_FROM", " REPEAT_CLIENT", " CAME_TO\n\n Entities: \n [{'head': ['8", " CONTACTED_FOR_LEGAL_SERVICES_PREVIOUS", " LEGAL_REPRESENTATIVE_OF", " MEETING", " REPRESENTED_BY", " REPRESENTED_BY", " HELD", " RELEASED", " LAWYER_FOR\n\n Entities: \n [{'head':", " REPEATED_CLIENT", " LEGAL_REPRESENTATIVE_OF", " SERVES_IN\n\n Explanation:\n The text describes how G", " NO_RELATION", " CLIENT_OF", " PREVIOUS_UNIVERSITY_ATTENDANCE", " ATTENDED\n\n Entities: \n [{'head': ['1", " STUDENT_OF", " CAUSED_BY", " EDUCATED_AT", " EDUCATED_AT", " HELD_FOR", " RELEASED_DATE", " CLIENT_OF", " UNIVERSITY_OF_DAYTON_ATTENDED_BY_CLIENT_T", " CLIENT_OF", " LOCATION_IN. 'the University of Dayton' is located_in 'Day", " NO_RELATION. The text does not provide enough context to determine a relation between 'the", " LOCATION_OF\n\n Explanation:\n The text states that the", " CAME_BEFORE", " ARRESTED_AT\n\n Entities: \n [{'head':", " LOCATION_OF\n ORGANIZATION_OF\n (Note:", " ARRESTED_AT", " LOCATION_OF\n\n Explanation:\n The text states that the", " LOCATION_OF\n OR LOCATED_AT\n OR ATTEN", " HELD_FOR", " RELEASED", " LOCATION_OF\n OR\n SERVED_LEGAL_RE", " VISITED_PLACE_TWICE", " LOCATION_OF\n\n Explanation:\n The text describes a client", " ATTENDED_BY\n ORGANIZATION_OF\n OR_", " NO_RELATION", " CONTACTED", " STUDENT_OF", " CLIENT_OF\n\n Explanation:\n The text describes a client", " CAME_FROM", " CONTACTED", " CONTACTED", " STUDENT_OF", " CALLS_FOR_LEGAL_SERVICES_AT\n or\n" ]
[ [ "4", "6", "PERSON", "Gounaris Abboud" ], [ "8", "9", "ORDINAL", "second" ], [ "14", "15", "DATE", "junior" ], [ "16", "20", "ORG", "the University of Dayton" ], [ "84", "87", "TIME", "about 2:00 a.m." ], [ "88", "89", "ORG", "University" ], [ "104", "105", "ORG", "University" ], [ "203", "204", "TIME", "overnight" ], [ "207", "210", "DATE", "the next day" ], [ "229", "231", "PERSON", "Gounaris Abboud" ], [ "259", "260", "CARDINAL", "two" ], [ "266", "268", "PERSON", "Gounaris Abboud" ], [ "276", "280", "ORG", "the University of Dayton" ], [ "332", "333", "GPE", "Dayton" ], [ "336", "337", "DATE", "today" ] ]
32,898
32,900
[ "Just one month into his spell at Borussia Dortmund, Ian Maatsen (21) has won the Bundesliga Rookie of the Month Award for January.\nJust 24 hours after joining on a six-month loan from Chelsea, the Dutchman was awarded his Bundesliga debut.\nMaatsen started all three Bundesliga games for Borussia Dortmund in January and in just his second game, the 21-year-old assisted for compatriot Donyell Malen in BVB’s 4-0 win against FC Köln.\nDeputising for Ramy Bensebaini and Julian Ryerson, Maatsen has since made the left-back spot his own. There’s an aurora of Raphaël Guerreiro about him in terms of his output in the final third. Not only that, Maatsen has looked solid defensively and his performances were key in Dortmund conceding just one goal in January.\nMaatsen was in esteemed company for Bundesliga Rookie of the Month\nMaximilian Beier (Hoffenheim) and Xavi Simons (RB Leipzig) have also been nominated this month. Simons was named Bundesliga Rookie of the Month for December, while Bayer Leverkusen’s Victor Boniface won the award for August, September, October and November." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Just one month into his spell at Borussia Dortmund, Ian Maatsen (21) has won the Bundesliga Rookie of the Month Award for January.\nJust 24 hours after joining on a six-month loan from Chelsea, the Dutchman was awarded his Bundesliga debut.\nMaatsen started all three Bundesliga games for Borussia Dortmund in January and in just his second game, the 21-year-old assisted for compatriot Donyell Malen in BVB’s 4-0 win against FC Köln.\nDeputising for Ramy Bensebaini and Julian Ryerson, Maatsen has since made the left-back spot his own. There’s an aurora of Raphaël Guerreiro about him in terms of his output in the final third. Not only that, Maatsen has looked solid defensively and his performances were key in Dortmund conceding just one goal in January.\nMaatsen was in esteemed company for Bundesliga Rookie of the Month\nMaximilian Beier (Hoffenheim) and Xavi Simons (RB Leipzig) have also been nominated this month. Simons was named Bundesliga Rookie of the Month for December, while Bayer Leverkusen’s Victor Boniface won the award for August, September, October and November.'] Entities: [{'head': ['0', '3', 'DATE', 'Just one month'], 'tail': ['7', '9', 'ORG', 'Borussia Dortmund']}] Relation:
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"head": [ "211", "212", "DATE", "October" ], "tail": [ "47", "48", "ORG", "Bundesliga" ] } ], [ { "head": [ "211", "212", "DATE", "October" ], "tail": [ "51", "52", "PERSON", "Maatsen" ] } ], [ { "head": [ "211", "212", "DATE", "October" ], "tail": [ "55", "56", "ORG", "Bundesliga" ] } ], [ { "head": [ "211", "212", "DATE", "October" ], "tail": [ "58", "60", "ORG", "Borussia Dortmund" ] } ], [ { "head": [ "211", "212", "DATE", "October" ], "tail": [ "78", "80", "PERSON", "Donyell Malen" ] } ], [ { "head": [ "211", "212", "DATE", "October" ], "tail": [ "81", "82", "ORG", "BVB" ] } ], [ { "head": [ "211", "212", "DATE", "October" ], "tail": [ "88", "90", "ORG", "FC Köln" ] } ], [ { "head": [ "211", "212", "DATE", "October" ], "tail": [ "94", "96", "PERSON", "Ramy Bensebaini" ] } ], [ { "head": [ "211", "212", "DATE", "October" ], "tail": [ "97", "99", "PERSON", "Julian Ryerson" ] } ], [ { "head": [ "211", "212", "DATE", "October" ], "tail": [ "100", "101", "PERSON", "Maatsen" ] } ], [ { "head": [ "211", "212", "DATE", "October" ], "tail": [ "117", "119", "PERSON", "Raphaël Guerreiro" ] } ], [ { "head": [ "211", "212", "DATE", "October" ], "tail": [ "135", "136", "PERSON", "Maatsen" ] } ], [ { "head": [ "211", "212", "DATE", "October" ], "tail": [ "146", "147", "ORG", "Dortmund" ] } ], [ { "head": [ "211", "212", "DATE", "October" ], "tail": [ "155", "156", "PERSON", "Maatsen" ] } ], [ { "head": [ "211", "212", "DATE", "October" ], "tail": [ "161", "162", "ORG", "Bundesliga" ] } ], [ { "head": [ "211", "212", "DATE", "October" ], "tail": [ "167", "169", "PERSON", "Maximilian Beier" ] } ], [ { "head": [ "211", "212", "DATE", "October" ], "tail": [ "170", "171", "ORG", "Hoffenheim" ] } ], [ { "head": [ "211", "212", "DATE", "October" ], "tail": [ "173", "175", "PERSON", "Xavi Simons" ] } ], [ { "head": [ "211", "212", "DATE", "October" ], "tail": [ "176", "178", "ORG", "RB Leipzig" ] } ], [ { "head": [ "211", "212", "DATE", "October" ], "tail": [ "186", "187", "PERSON", "Simons" ] } ], [ { "head": [ "211", "212", "DATE", "October" ], "tail": [ "189", "190", "ORG", "Bundesliga" ] } ], [ { "head": [ "211", "212", "DATE", "October" ], "tail": [ "198", "200", "ORG", "Bayer Leverkusen" ] } ], [ { "head": [ "211", "212", "DATE", "October" ], "tail": [ "201", "203", "PERSON", "Victor Boniface" ] } ], [ { "head": [ "213", "214", "DATE", "November" ], "tail": [ "7", "9", "ORG", "Borussia Dortmund" ] } ], [ { "head": [ "213", "214", "DATE", "November" ], "tail": [ "10", "12", "PERSON", "Ian Maatsen" ] } ], [ { "head": [ "213", "214", "DATE", "November" ], "tail": [ "18", "19", "ORG", "Bundesliga" ] } ], [ { "head": [ "213", "214", "DATE", "November" ], "tail": [ "40", "41", "ORG", "Chelsea" ] } ], [ { "head": [ "213", "214", "DATE", "November" ], "tail": [ "47", "48", "ORG", "Bundesliga" ] } ], [ { "head": [ "213", "214", "DATE", "November" ], "tail": [ "51", "52", "PERSON", "Maatsen" ] } ], [ { "head": [ "213", "214", "DATE", "November" ], "tail": [ "55", "56", "ORG", "Bundesliga" ] } ], [ { "head": [ "213", "214", "DATE", "November" ], "tail": [ "58", "60", "ORG", "Borussia Dortmund" ] } ], [ { "head": [ "213", "214", "DATE", "November" ], "tail": [ "78", "80", "PERSON", "Donyell Malen" ] } ], [ { "head": [ "213", "214", "DATE", "November" ], "tail": [ "81", "82", "ORG", "BVB" ] } ], [ { "head": [ "213", "214", "DATE", "November" ], "tail": [ "88", "90", "ORG", "FC Köln" ] } ], [ { "head": [ "213", "214", "DATE", "November" ], "tail": [ "94", "96", "PERSON", "Ramy Bensebaini" ] } ], [ { "head": [ "213", "214", "DATE", "November" ], "tail": [ "97", "99", "PERSON", "Julian Ryerson" ] } ], [ { "head": [ "213", "214", "DATE", "November" ], "tail": [ "100", "101", "PERSON", "Maatsen" ] } ], [ { "head": [ "213", "214", "DATE", "November" ], "tail": [ "117", "119", "PERSON", "Raphaël Guerreiro" ] } ], [ { "head": [ "213", "214", "DATE", "November" ], "tail": [ "135", "136", "PERSON", "Maatsen" ] } ], [ { "head": [ "213", "214", "DATE", "November" ], "tail": [ "146", "147", "ORG", "Dortmund" ] } ], [ { "head": [ "213", "214", "DATE", "November" ], "tail": [ "155", "156", "PERSON", "Maatsen" ] } ], [ { "head": [ "213", "214", "DATE", "November" ], "tail": [ "161", "162", "ORG", "Bundesliga" ] } ], [ { "head": [ "213", "214", "DATE", "November" ], "tail": [ "167", "169", "PERSON", "Maximilian Beier" ] } ], [ { "head": [ "213", "214", "DATE", "November" ], "tail": [ "170", "171", "ORG", "Hoffenheim" ] } ], [ { "head": [ "213", "214", "DATE", "November" ], "tail": [ "173", "175", "PERSON", "Xavi Simons" ] } ], [ { "head": [ "213", "214", "DATE", "November" ], "tail": [ "176", "178", "ORG", "RB Leipzig" ] } ], [ { "head": [ "213", "214", "DATE", "November" ], "tail": [ "186", "187", "PERSON", "Simons" ] } ], [ { "head": [ "213", "214", "DATE", "November" ], "tail": [ "189", "190", "ORG", "Bundesliga" ] } ], [ { "head": [ "213", "214", "DATE", "November" ], "tail": [ "198", "200", "ORG", "Bayer Leverkusen" ] } ], [ { "head": [ "213", "214", "DATE", "November" ], "tail": [ "201", "203", "PERSON", "Victor Boniface" ] } ] ]
[ " JOINED_BY_ORGANIZATION", " ONE_MONTH_AGO", " ONE_MONTH_AGO\n\n Entities: \n [{'head", " LOANED_FROM", " ONE_MONTH_AGO\n\n Entities: \n [{'head", " MONTHS_SINCE_EVENT\n\n Explanation:\n The", " ONE_MONTH_AGO\n\n Entities: \n [{'head", " JOINED_AT", " ASSISTED", " JOINED_BY_ORGANIZATION", " OPPOSITE_OF_PREVIOUS_MONTH_AGAINST\n\n", " PRECEDED_BY", " SUPERSEDED", " MONTHS_SINCE_EVENT\n\n Entities: \n [", " SIMILAR_TO", " MONTHS_SINCE_EVENT\n\n Entities: \n [", " JOINED_AT", " MONTHS_SINCE_EVENT\n\n Entities: \n [", " ONE_MONTH_AGO\n\n Entities: \n [{'head", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " ONE_MONTH_AGO\n\n Entities: \n [{'head", " NO_RELATION", " NO_RELATION", " NEW_PLAYER", " PLAYS_FOR", " PLAYS_FOR", " MEMBER_OF", " AWARDED_IN_MONTH", " JOINED_WITHIN_TIMEFRAME", " LOANED_FROM", " LOAN_FROM", " MEMBER_OF", " PLAYS_FOR", " PLAYED_FOR", " MEMBER_OF", " BELONGS_TO", " AWARDED_IN_MONTH", " DEBUTED_IN.", " BELONGS_TO", " ASSISTED", " ORG_MEMBER_OF", " DEBUTED_FOR", " OPPONENT", " DEPUTIZES", " DEPUTIZES_FOR", " PLAYS_FOR", " SIMILAR_TO", " Maatsen_has_output_in_the_final_third_of_B", " PLAYS_FOR", " ORG_IS_ORG", " MONTHS_AGO", " AWARDED_IN_MONTH", " PLAYS_FOR", " MEMBER_OF", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION.", " AWARDED_IN_MONTH", " NO_RELATION", " MEMBER_OF", " AWARDED_MONTHLY_AWARD", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " TIMES_IN_MONTH", " PLAYS_FOR", " AWARDED_ON\n\n Entities: \n [{'head': ['", " WINNER_OF", " AWARDED_IN_MONTH", " TIME_AFTER\n\n Entities: \n [{'head': ['2", " LOANED_FROM", " LOANED_FROM", " PLAYS_FOR", " SELF_REFERENCE", " PLAYED_FOR\n\n Explanation:\n The text states that \"", " PLAYS_FOR", " PLAYS_FOR", " AWARDED_IN_MONTH", " ASSISTED_BY", " AGED_BY\n\n Entities: \n [{'head': ['1", " ASSISTED", " PLAYS_FOR", " NO_RELATION", " ASSISTED", " REPLACE_ME\n\n The relation between Ian Maatsen and Ramy B", " DEPUTISED_FOR", " SELF_REFERENCE", " HAS_OUTPUT_IN_THE_FINAL_THIRD", " OUTPUT: \"OUTPUT: PRODUCED_IN\"", " SELF_REFERENCE", " PLAYS_FOR", " ONE_MONTH_AGO", " AWARDED_IN_MONTH", " SELF_REFERENCE", " PLAYS_FOR", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " AWARDED_IN_MONTH", " NO_RELATION. (Ian Maatsen and Xavi Simons are not directly", " WINNER_OF", " AWARDED_MONTH", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " DEBUTED_FOR", " AWARDED_ON_DATE", " AWARDED_BY", " LOAN_FROM", " AWARDED_BY", " RECEIVED_AWARD", " AWARDED_BY", " DEBUTED_FOR", " ASSISTED", " DEBUTED_FOR", " HELPED", " DEPUTIZED_FOR", " ASSISTED", " RECEIVED_AWARD", " SIMILAR_TO", " RECEIVED_AWARD", " DEBUTED_FOR", " RECEIVED_AWARD", " AWARDED_BY", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " AWARDED_BY", " NO_RELATION", " NO_RELATION", " TIMES_IN_MONTH\n\n Entities: \n [{'head", " MEMBER_OF", " MEMBER_OF", " AWARDED_MONTHLY_AWARD", " MONTH_AWARDED\n\n Entities: \n [{'head':", " TIMES_BEFORE\n\n Entities: \n [{'head': ['", " LOANED_FROM", " LOAN_FROM", " AWARDED_BY", " MEMBER_OF", " 'QUANTITY'", " LEAGUE_MEMBER_OF", " MEMBER_OF", " AWARDED_MONTH\n\n Entities: \n [{'head':", " ASSISTED_BY", " AWARDED_MONTHLY_AWARD_TO", " ASSISTED", " PLAYS_FOR", " AWARDED_MONTHLY_AWARD_BY", " OPPOSITE_OF_CONQUERED_BY", " DEPUTIZES_FOR", " PLAYED_FOR\n\n Explanation:\n The text states that Ma", " MEMBER_OF", " SIMILAR_TO", " OUTPUT: \"HEAD_IN_ORGANIZATION_PART_OF_OR", " PLAYS_FOR", " MEMBER_OF", " AWARDED_BY", " AWARDED_IN_MONTH", " MEMBER_OF", " LEAGUE_MEMBER_OF", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " AWARDED_IN_MONTH", " NO_RELATION", " LEAGUE_MEMBER_OF", " AWARDED_FOR_MONTH", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " MONTH_WINNER_FOR\n ORG_MONTH_WINNER", " AWARDED_MONTH_FOR_PERSON", " MONTH_AWARDED\n ORG_AWARDED_TO\n MON", " LOAN_FROM", " MONTH_AWARDED\n OR MONTHLY_AWARD_RECE", " MONTH_OF_AWARD\n\n Explanation:\n The text", " MONTH_AWARDED\n ORG_AWARDED_TO\n MON", " MONTH_WINNER_FOR\n ORG_MEMBER\n or\n ", " ASSISTED", " WINNER_OF\n\n Entities: \n [{'head': ['2", " ASSISTED", " DEPUTIZED_FOR", " PLAYED_BEFORE\n\n Explanation:\n The text states that", " AWARDED_MONTH_FOR_PERSON", " SIMILAR_TO", " AWARDED_MONTH_FOR_MONTH_FOR_PERSON", " WINNER_OF\n\n Entities: \n [{'head': ['2", " AWARDED_MONTH_FOR_MONTH_FOR_PERSON", " MONTH_AWARDED\n ORG_AWARDED_MONTH", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " MONTH_AWARDED\n ['MONTH_AWARDED', 'AWAR", " NO_RELATION", " NO_RELATION", " JOINED_AT\n\n Entities: \n [{'head': ['", " JOINED_WITHIN_TIMEFRAME", " JOINED_WITHIN_TIMEFRAME", " LOANED_FROM", " JOINED_ORGANIZATION_WITHIN_TIMEFRAME", " JOINED_WITHIN_TIMEFRAME", " JOINED_ORGANIZATION_WITHIN_TIMEFRAME", " JOINED_AT", " ASSISTED", " JOINED_AT.", " DEBUTED_AGAINST", " DEPUTIZED_FOR", " DEBUTED_FOR", " JOINED_WITHIN_TIMEFRAME", " RESEMBLES", " DEBUTED_AFTER\n\n Entities: \n [{'head':", " JOINED_AT", " JOINED_WITHIN_TIMEFRAME", " JOINED_WITHIN_TIMEFRAME", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " JOINED_WITHIN_TIMEFRAME", " NO_RELATION", " NO_RELATION", " LOANED_TO", " LOANED_FROM", " LOANED_TO", " LOANED_FROM", " LOANED_TO", " LOANED_FROM", " LOANED_TO", " LOANED_TO", " ASSISTED", " LOANED_TO", " DEBUTED_AGAINST", " DEPUTIZES", " DEPUTIZED_FOR", " LOANED_FROM", " SIMILAR_TO", " LOANED_FROM", " LOANED_TO", " LOANED_FROM", " LOANED_TO", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " LOANED_TO", " NO_RELATION", " NO_RELATION", " LOANED_FROM", " LOAN_FROM", " LOANED_FROM", " LOANED_FROM", " LOANED_FROM", " LOAN_STARTED_MONTH", " JOINED_WITHIN_TIMEFRAME", " LOANED_FROM", " LOANED_FROM", " LOANED_FROM", " LOANED_FROM", " LOANED_FROM", " LOAN_FROM", " LOAN_STARTED_MONTH", " LOAN_FROM", " LOANED_FROM", " ASSISTED", " LOAN_FROM", " LOAN_FROM", " PREVIOUSLY_PLAYED_FOR", " DEPUTIZES_FOR", " PREDECESSOR", " LOANED_FROM", " COMPARISON_TO_PERSON", " LOANED_FROM", " LOANED_FROM", " LOAN_FROM", " LOANED_FROM", " LOAN_STARTED_MONTH", " LOANED_FROM", " LOANED_FROM", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " LOANED_FROM", " NO_RELATION", " LOANED_FROM", " LOANED_FROM", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " BELONGS_TO", " HOST_ORGANIZATION", " PLAYS_FOR", " AWARDED_MONTHLY_AWARD", " LEAGUE", " AWARDED_IN_MONTH", " TIME_AFTER", " LOANED_FROM", " LOAN_FROM", " PLAYS_FOR", " PLAYED_FOR", " LEAGUE_MEMBER_OF", " HOST_ORGANIZATION", " AWARDED_IN_MONTH", " ASSISTED_BY", " AWARDED_MONTHLY_AWARD_TO", " ASSISTED", " PLAYS_FOR", " AWARDED_BY", " OPPOSITE_OF_OPPONENT", " DEPUTIZES_FOR", " PLAYS_FOR\n\n Explanation:\n The text states that Ma", " PLAYS_FOR", " LIKE_PLAYER", " OUTPUT: \"HEAD_IN_ORGANIZATION_PART_OF_OR", " PLAYS_FOR", " HOST_ORGANIZATION", " AWARDED_BY", " AWARDED_IN_MONTH", " PLAYS_FOR", " LEAGUE", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " AWARDED_IN_MONTH", " NO_RELATION", " LEAGUE", " AWARDED_FOR_MONTH", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " TIMES_IN_MONTH", " PLAYS_FOR", " SELF", " AWARDED_ON\n\n Entities: \n [{'head': ['", " WINNER_OF\n\n Entities: \n [{'head': ['5", " AWARDED_IN_MONTH", " JOINED_WITHIN_TIMEFRAME", " LOANED_FROM", " LOANED_FROM", " PLAYS_FOR", " PLAYED_FOR\n\n Explanation:\n The text states that Ma", " PLAYS_FOR", " PLAYS_FOR", " AWARDED_IN_MONTH", " ASSISTED_BY", " AGED_BY\n\n Entities: \n [{'head': ['5", " ASSISTED", " PLAYS_FOR", " NO_RELATION", " ASSISTED", " REPLACE_ME\n\n The relation between Maatsen and Bensebain", " PLAYED_FOR\n\n Explanation:\n The text states that Ma", " SELF_REFERENCE", " LIKE_PLAYER", " OUTPUT: PRODUCES_OUTPUT_IN_FINAL_THIRD", " SELF_REFERENCE", " PLAYS_FOR", " RECEIVED_AWARD_FOR_MONTH\n\n Entities:", " AWARDED_IN_MONTH", " SELF_REFERENCE", " WINNER_OF\n\n Entities: \n [{'head': ['5", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " AWARDED_IN_MONTH", " NO_RELATION", " WINNER_OF\n\n Entities: \n [{'head': ['5", " WINNER_OF", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " PLAYED_FOR", " PLAYED_IN_GAMES", " 'WON_AWARD_FOR'", " LOANED_FROM", " PLAYED_FOR", " PLAYED_IN_GAMES_WITH_PERSON", " PLAYED_FOR", " PLAYED_FOR", " ASSISTED", " PLAYED_FOR", " ASSISTED", " DEPUTIZES", " DEPUTISED_FOR", " PLAYED_FOR\n\n Explanation:\n The text states that Ma", " SIMILAR_TO", " PLAYED_FOR\n\n Explanation:\n The text states that Ma", " PLAYED_FOR", " PLAYED_FOR\n\n Explanation:\n The text states that Ma", " PLAYED_FOR", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION.", " NO_RELATION", " PLAYED_FOR", " NO_RELATION", " NO_RELATION", " BELONGS_TO", " HOST_ORGANIZATION", " MEMBER_OF", " AWARDED_MONTHLY_AWARD", " LEAGUE", " AWARDED_IN_MONTH", " TIME_AFTER\n\n Entities: \n [{'head': ['2", " LOANED_FROM", " LOAN_FROM", " LEAGUE", " PLAYS_FOR", " PLAYED_FOR", " HOST_ORGANIZATION", " AWARDED_IN_MONTH", " ASSISTED_BY", " AWARDED_FOR_MONTH\n\n Entities: \n [{'", " ASSISTED", " HOST_ORGANIZATION", " AWARDED_BY", " OPPOSITE_OF_CONQUERED_BY", " DEPUTIZES_FOR", " PLAYS_FOR\n\n Explanation:\n The text states that Ma", " PLAYS_FOR", " LIKE_PLAYER", " OUTPUT: 'BELONGS_TO'", " PLAYS_FOR", " HOST_ORGANIZATION", " AWARDED_BY", " AWARDED_IN_MONTH", " PLAYS_FOR", " LEAGUE", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " AWARDED_IN_MONTH", " NO_RELATION", " LEAGUE", " AWARDED_FOR_MONTH", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NEW_PLAYER", " BELONGS_TO", " PLAYS_FOR", " JOINED_MONTHS_AGO", " MEMBER_OF", " AWARDED_IN_MONTH", " JOINED_WITHIN_TIMEFRAME", " LOANED_FROM", " LOANED_FROM", " MEMBER_OF", " PLAYS_FOR", " PLAYED_FOR", " MEMBER_OF", " AWARDED_IN_MONTH", " DEBUTED_IN.", " BELONGS_TO", " ASSISTED", " TEAM_OF\n\n Entities: \n [{'head': ['8", " LOANED_FROM", " OPPOSITE_TEAM", " DEPUTIZES", " DEPUTISED_FOR", " PLAYS_FOR", " SIMILAR_TO", " Maatsen_has_output_in_the_final_third_of_B", " PLAYS_FOR", " ORG_MEMBER_OF", " MONTHS_AGO", " AWARDED_IN_MONTH", " PLAYS_FOR", " MEMBER_OF", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION. The text does not provide any context for a relation between Borussia Dort", " AWARDED_IN_MONTH", " NO_RELATION", " MEMBER_OF", " AWARDED_MONTHLY_AWARD", " NO_RELATION", " NO_RELATION.", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " MONTH_WINNER_FOR\n ORG_MONTH_WINNER", " AWARDED_MONTH_FOR\n\n Explanation:\n Ian Ma", " MONTH_AWARDED\n ORG_AWARDED_TO\n MON", " LOAN_FROM", " MONTH_AWARDED\n ORG_AWARDED_TO\n MON", " MONTH_WINNER_OF\n\n Entities: \n [{'head", " MONTH_AWARDED\n ORG_AWARDED_TO\n MON", " MONTH_WINNER_FOR\n ORG_MONTH_WINNER", " ASSISTED", " MONTH_WINNER_OF\n\n Entities: \n [{'head", " ASSISTED", " DEPUTIZED_FOR", " PLAYED_BEFORE\n\n Explanation:\n The text states that", " AWARDED_MONTH_FOR_PERSON", " SIMILAR_TO", " AWARDED_MONTH_FOR_PERSON", " MONTH_WINNER_FOR\n ORG_MONTH_WINNER", " AWARDED_MONTH_FOR_PERSON", " MONTH_AWARDED\n OR MONTHLY_AWARD_RECE", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " MONTH_AWARDED\n OR MONTHLY_AWARD_RECE", " NO_RELATION", " NO_RELATION", " DEBUTED_FOR", " ASSISTED", " ASSISTED_BY", " LOAN_FROM", " ASSISTED_BY", " ASSISTED", " ASSISTED_BY", " DEBUTED_FOR", " ASSISTED", " ASSISTED_BY", " ASSISTED", " DEPUTIZES", " ASSISTED", " ASSISTED", " ASSISTED_BY", " ASSISTED", " DEBUTED_FOR", " ASSISTED", " ASSISTED_BY", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " ASSISTED_BY", " PRIOR_WINNER", " PREVIOUS_ROOKIE_OF_THE_MONTH", " JOINED_ORGANIZATION", " AWARDED_MONTHLY_AWARD", " AWARDED_BY", " LOAN_FROM", " WIN\n\n Entities: \n [{'head': ['47', '", " RECEIVED_AWARD", " WIN\n\n Entities: \n [{'head': ['55', '", " JOINED_ORGANIZATION", " ASSISTED", " DEBUTED_FOR", " ASSISTED", " DEPUTIZES_FOR", " ASSISTED", " RECEIVED_AWARD", " HAS_OUTPUT_IN_THE_FINAL_THIRD", " RECEIVED_AWARD", " JOINED_ORGANIZATION", " RECEIVED_AWARD", " RECEIVED_AWARD_FROM", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " RECEIVED_AWARD_FROM", " NO_RELATION", " NO_RELATION", " ASSISTED_BY", " ASSISTED_BY", " ASSISTED", " ASSISTED_BY", " ASSISTED_GOAL_IN_LEAGUE", " ASSISTED_IN_MONTH", " ASSISTED_WITHIN_TIMEFRAME", " ASSISTED_BY", " ASSISTED_BY", " ASSISTED_TEAM", " ASSISTED_BY", " ASSISTED_BY", " ASSISTED_TEAM", " ASSISTED_BY", " ASSISTED_MONTH", " ASSISTED_BY", " ASSISTED_BY", " ASSISTED_BY", " ASSISTED", " ASSISTED_GOAL", " ASSISTED_BY", " ASSISTED_BY", " ASSISTED", " ASSISTED_BY", " ASSISTED_IN_MATCH", " ASSISTED", " ASSISTED_BY", " ASSISTED_BY", " ASSISTED_IN_MONTH", " ASSISTED", " ASSISTED_TEAM", " NO_RELATION", " TEAMMATE", " NO_RELATION", " NO_RELATION", " ASSISTED_BY", " ASSISTED_BY", " ASSISTED_TEAM", " ASSISTED_BY", " NO_RELATION", " PLAYED_FOR\n\n Explanation:\n The text states that D", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NEW_IN_ORG", " ORG_IS_ORG", " PLAYS_FOR", " DEBUTED_ON", " MEMBER_OF", " AWARDED_IN_MONTH", " TIME_AFTER\n\n Entities: \n [{'head': ['2", " LOANED_FROM", " LOANED_FROM", " MEMBER_OF", " PLAYS_FOR", " PLAYED_FOR", " MEMBER_OF", " ORG_PART_OF", " AWARDED_IN_MONTH", " ASSISTED_BY", " DEBUTED_FOR", " ASSISTED", " DEBUTED_FOR", " OPPOSITE_TEAM", " DEPUTIZES", " DEPUTISED_FOR", " PLAYS_FOR", " LIKE_PLAYER", " OUTPUT: PRODUCES_OUTPUT_IN", " PLAYS_FOR", " ORG_PART_OF\n\n Explanation:\n The text states that", " JOINED_BY\n\n Explanation:\n The text states that \"", " AWARDED_IN_MONTH", " PLAYS_FOR", " MEMBER_OF", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " AWARDED_IN_MONTH", " NO_RELATION", " MEMBER_OF", " WINNER_OF", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " BELONGS_TO", " AWARDED_ROOKIE_OF_THE_MONTH", " AWARDED_BY", " LOAN_FROM", " WINNER_OF", " RECIPIENT_OF_AWARD", " AWARDED_BY", " PLAYS_FOR", " ASSISTED", " PLAYS_FOR", " ASSISTED", " DEPUTIZES", " DEPUTISED_FOR", " RECIPIENT_OF_AWARD", " HAS_OUTPUT_IN_THE_FINAL_THIRD", " RECIPIENT_OF_AWARD", " JOINS", " RECIPIENT_OF_AWARD", " WINNER_OF", " NO_RELATION", " MAXIMILIAN_BEIER_IS_NOMINEE_FOR_", " NO_RELATION", " Xavi_Simons_is_a_nominee_for_Bundes", " NO_RELATION", " AWARDED_BY", " NO_RELATION", " NO_RELATION", " AGAINST", " OPPOSITE_OF_MEMBER_OF", " ASSISTED", " OPPOSITE_OF_ASSISTED_BY", " OPPOSITE_OF_MEMBER_OF\n\n Explanation:\n ", " MONTH_OF_EVENT\n\n Entities: \n [{'head':", " TIME_DIFF_24_HOURS", " OPPOSITE_OF_LOAN_TO\n\n Explanation:\n ", " OPPOSITE_TEAMS", " OPPOSITE_OF_MEMBER_OF\n\n Explanation:\n ", " ASSISTED", " OPPOSITE_OF_CONTAINS \n\n Explanation:\n ", " OPPOSITE_OF_MEMBER_OF\n\n Explanation:\n ", " OPPOSITE_OF_MEMBER_OF", " MONTH_OF_EVENT\n\n Entities: \n [{'head':", " ASSISTED", " AGAINST\n\n Explanation:\n The text states that Maatsen", " ASSISTED", " OPPONENT", " FC_KOLN_OPPONENT", " ASSISTED_BY", " ASSISTED", " ASSISTED", " ASSISTED", " AGAINST", " ASSISTED", " OPPONENT", " CONQUERED_BY", " MONTH_OF_EVENT\n\n Entities: \n [{'head':", " ASSISTED", " OPPOSITE_OF_MEMBER_OF\n\n Explanation:\n ", " NO_RELATION", " OPPOSITE_OF_RIVAL_OR_COMPETITOR", " NO_RELATION", " NO_RELATION", " AGAINST", " NO_RELATION", " OPPOSITE_OF_MEMBER_OF\n\n Explanation:\n ", " OPPOSITE_OF_WINNER_AGAINST", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " PREDECESSOR", " DEPUTIZES_FOR", " DEPUTIZES_FOR", " DEPUTIZED_FOR", " NO_RELATION", " PREVIOUS_IN_POSITION", " PRECEDES", " DEPUTIZED_FOR", " REPLACE_ME\n\n The entities do not have a direct relation in the text", " NO_RELATION", " DEPUTIZES_FOR", " NO_RELATION", " NO_RELATION", " DEPUTIZES_FOR", " PRECEDED_BY", " DEPUTIZES_FOR", " DEPUTIZED_FOR", " ASSISTED", " DEPUTIZES_FOR", " DEPUTIZES_FOR", " DEPUTIZED_FOR", " DEPUTISES", " DEPUTIZES_FOR", " AURA_OF", " NO_RELATION. The text mentions Ramy Bensebaini and Maats", " DEPUTIZES_FOR", " DEPUTIZES_FOR", " NO_RELATION", " PRECEDED_BY", " DEPUTIZES_FOR", " NO_RELATION", " NO_RELATION", " DEPUTISED_FOR", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " DEPUTISED_FOR", " DEPUTISED_FOR", " DEBUTED_FOR", " NO_RELATION", " NO_RELATION", " PRECEDES", " DEPUTIZED_FOR", " DEPARTED_FROM", " PLAYED_FOR", " DEPUTISED_FOR", " DEPUTIZED_FOR", " NO_RELATION", " DEPUTIZES_FOR", " KEY_PERIOD_FOR_ENTITY", " DEPUTIZED_FOR", " DEPUTISED_FOR", " ASSISTED", " DEPUTISED_FOR", " DEPUTISED_FOR", " OPPOSITE_TEAM", " DEPUTIZES_FOR", " DEPUTISED_FOR", " NO_RELATION. The text does not mention a relation between Julian Ryerson and Raph", " NO_RELATION", " DEPUTIZED_FOR", " DEPUTISED_FOR", " NO_RELATION", " NO_RELATION", " DEPUTISED_FOR", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " TIMES_IN_MONTH", " PLAYS_FOR", " SELF", " AWARDED_ON\n\n Entities: \n [{'head': ['", " PLAYS_FOR", " AWARDED_IN_MONTH", " JOINED_WITHIN_TIMEFRAME", " LOANED_FROM", " LOANED_FROM", " PLAYS_FOR", " SELF_REFERENCE", " PLAYED_FOR\n\n Explanation:\n The text states that Ma", " PLAYS_FOR", " PLAYS_FOR", " AWARDED_IN_MONTH", " ASSISTED_BY", " AGE_OF_PERSON", " ASSISTED", " PLAYS_FOR", " RECEIVED_AWARD_WITH_QUANTITY\n\n Explan", " ASSISTED", " REPLACE_ME\n\n The relation between Maatsen and Bensebain", " PLAYED_FOR\n\n Explanation:\n The text states that Ma", " LIKE_PLAYER_OF_PLAYER", " OUTPUT: PRODUCES_OUTPUT_IN_FINAL_THIRD", " SELF_REFERENCE", " PLAYS_FOR", " ONE_MONTH_AGO", " AWARDED_IN_MONTH", " SELF_REFERENCE", " PLAYS_FOR", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION.", " AWARDED_IN_MONTH", " NO_RELATION", " PLAYS_FOR", " AWARDED_MONTHLY_AWARD", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION. The text mentions an 'aurora' of Raphaël", " GIVEN_NAME_OF_PERSON_HAS_OUTPUT_IN_THE_", " HAS_AURA_OF", " AURORA_OF", " The relation between Raphaël Guerreiro and Bundesliga is 'PLAYER_IN", " The relation between Raphaël Guerreiro and January is NOTIONAL_ROLE", " BEFORE", " AURA_OF", " AURA_OF", " The relation between Raphaël Guerreiro and Bundesliga is 'PLAYER_IN", " HAS_AURA_OF", " NO_RELATION. The text mentions Raphaël Guerreiro and the number", " The relation between Raphaël Guerreiro and Bundesliga is 'PLAYS_FOR", " The relation between Raphaël Guerreiro and Borussia Dortmund is 'PLAYED", " GIVEN_NAME_OF_PERSON_HAS_PROPERTY_VALUE\n or", " GIVEN_NAME_OF_PERSON_HAS_QUALITY_OR_", " HAS_AURA_OF", " ASSISTED_BY", " GIVEN_NAME_OF_PERSON_HAS_OUTPUT_IN_THE_", " NO_RELATION. The text mentions Raphaël Guerreiro and Maats", " NO_RELATION. The text mentions Raphaël Guerreiro and FC Kö", " NO_RELATION. The text does not mention a relation between Raphaël Guerre", " NO_RELATION. The text mentions Raphaël Guerreiro and Julian Ry", " HAS_AURA_OF", " GIVEN_NAME_OF_PERSON_HAS_OUTPUT_IN_THE_", " HAS_AURA_OF", " The relation between Raphaël Guerreiro and Dortmund is 'PLAYED_FOR", " NO_RELATION. (Raphaël Guerreiro and 'one' are not", " The relation between Raphaël Guerreiro and January is NOT_RELATION. The", " HAS_AURA_OF", " The relation between Raphaël Guerreiro and Bundesliga is 'PLAYS_FOR", " IN_TERMS_OF_OUTPUT_IN_THE_FINAL_THIRD", " GIVEN_NAME_OF_PERSON_HAS_OUTPUT_IN_THE_", " NO_RELATION. The text mentions Raphaël Guerreiro and Xavi", " NO_RELATION. The text mentions Raphaël Guerreiro and RB", " NO_RELATION. The text mentions Raphaël Guerreiro and 'this", " NO_RELATION. The text mentions Raphaël Guerreiro and Xavi", " The relation between Raphaël Guerreiro and Bundesliga is 'PLAYS_FOR", " GIVEN_NAME_OF_PERSON_HAS_PROPERTY_VALUE_AT_", " NO_RELATION. The text does not mention a relation between Raphaël Guerre", " NO_RELATION", " NO_RELATION. The text does not mention a relation between Raphaël Guerre", " NO_RELATION", " NO_RELATION", " NO_RELATION. The text does not provide enough context to determine a relation between Raph", " NO_RELATION", " OUTPUT: PRODUCED_FOR", " OUTPUT: ASSISTED_BY", " OUTPUT: \"PERFORMED_IN\"", " LOAN_FROM", " OUTPUT: \"PERFORMED_IN\"", " OUTPUT: PRODUCED_IN_THE_SAME_PERIOD", " OUTPUT: \"PERFORMED_IN\"", " OUTPUT: PRODUCED_AT", " ASSISTED", " OUTPUT: PRODUCED_IN.", " ASSISTED", " DEPUTIZES_FOR", " DEPENDS_ON", " OUTPUT: ASSISTED_BY", " OUTPUT: LIKE_PLAYER", " OUTPUT: PRODUCED_IN_THE_FINAL_THIRD", " OUTPUT: PRODUCED_AT", " OUTPUT: ASSISTED_BY", " OUTPUT: \"PERFORMED_IN\"", " NO_RELATION", " NO_RELATION", " NO_RELATION", " Xavi_Simons_is_a_nominee_for_Bundes", " NO_RELATION", " OUTPUT: \"PERFORMED_IN\"", " PREVIOUS_AWARD_WINNER", " NO_RELATION", " TIMES_IN_MONTH", " PLAYS_FOR", " SELF", " AWARDED_ON\n\n Entities: \n [{'head': ['", " PLAYS_FOR", " AWARDED_IN_MONTH", " JOINED_WITHIN_TIMEFRAME", " LOANED_FROM", " LOANED_FROM", " PLAYS_FOR", " SELF_REFERENCE", " PLAYED_FOR\n\n Explanation:\n The text states that Ma", " PLAYS_FOR", " PLAYS_FOR", " AWARDED_IN_MONTH", " ASSISTED_BY", " IS_INSTANCE_OF", " ASSISTED", " PLAYS_FOR", " RECEIVED_AWARD_FOR_MONTH", " ASSISTED", " REPLACE_ME\n\n The relation between Maatsen and Bensebain", " REPLACE_ME\n\n The relation between Maatsen and Julian Ryerson is", " SELF_REFERENCE", " LIKE_PLAYER", " OUTPUT: PRODUCES_OUTPUT_IN_FINAL_THIRD", " PLAYS_FOR", " RECEIVED_AWARD_FOR_MONTH\n\n Entities:", " AWARDED_MONTH\n\n Or\n\n Entities: \n ", " SELF_REFERENCE", " PLAYS_FOR", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION.", " AWARDED_IN_MONTH", " NO_RELATION", " PLAYS_FOR", " WINNER_OF", " NO_RELATION", " NO_RELATION", " NO_RELATION. In this text, Maatsen and Victor Boniface are mentioned in", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " BELONGS_TO", " ORG_MEMBER_OF", " PLAYS_FOR", " JOINED_MONTHS_AGO", " MEMBER_OF", " AWARDED_IN_MONTH", " JOINED_WITHIN_TIMEFRAME", " LOANED_FROM", " LOANED_FROM", " MEMBER_OF", " PLAYS_FOR", " PLAYED_FOR", " MEMBER_OF", " ORG_MEMBER_OF", " AWARDED_IN_MONTH", " DEBUTED_FOR", " PLAYS_FOR", " ASSISTED", " BELONGS_TO", " PLAYS_FOR", " OPPOSITE_TEAM", " DEPUTIZES", " DEPUTISED_FOR", " PLAYS_FOR", " LIKE_PLAYER", " Maatsen has output in the final third of Dortmund.", " PLAYS_FOR", " MONTHS_AGO", " AWARDED_IN_MONTH", " PLAYS_FOR", " MEMBER_OF", " NO_RELATION", " COMPETES_AGAINST", " NO_RELATION", " COMPETES_AGAINST", " AWARDED_IN_MONTH", " NO_RELATION", " MEMBER_OF", " AWARDED_MONTHLY_AWARD_TO", " NO_RELATION", " COMPETES_WITH", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " JOINS", " AWARDED_TO", " WIN\n\n Entities: \n [{'head': ['18', '", " LOANED_FROM", " WINNER_OF", " AWARDED_TO", " WINNER_OF", " JOINS", " ASSISTED", " PLAYS_FOR", " HELPED", " DEPUTIZES", " DEPUTISED_FOR", " AWARDED_TO", " HAS_OUTPUT_IN_THE_FINAL_THIRD", " AWARDED_TO", " JOINS", " AWARDED_TO", " WON_AWARD_FOR\n\n Explanation:\n The text", " NO_RELATION", " NO_RELATION", " NO_RELATION", " Xavi_Simons_is_a_nominee_for_Bundes", " NO_RELATION", " WINNER_OF", " NO_RELATION", " NO_RELATION", " MONTH_WINNER_FOR\n ORG_MEMBER\n or\n ", " AWARDED_MONTH\n\n Entities: \n [{'head':", " MONTH_AWARDED\n ORG_AWARDED_TO\n OR", " LOAN_FROM", " MONTH_AWARDED_BY_LEAGUE", " AWARDED_MONTH_FOR_MONTH_FOR_PERSON", " MONTH_AWARDED_BY_LEAGUE", " MONTH_WINNER_FOR\n ORG_MONTH_WINNER", " ASSISTED", " PLAYED_FOR", " ASSISTED", " DEPUTIZED_FOR", " PLAYED_BEFORE\n\n Explanation:\n The text states that", " AWARDED_MONTH_ROOKIE\n\n Entities: \n ", " SIMILAR_TO", " AWARDED_MONTH_ROOKIE\n\n Entities: \n ", " JOINED_AT", " AWARDED_MONTH_ROOKIE\n\n Entities: \n ", " MONTH_AWARDED_TO_LEAGUE", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " MONTH_AWARDED_TO_LEAGUE", " NO_RELATION", " NO_RELATION", " TIMES_IN_MONTH", " PLAYS_FOR", " SELF", " AWARDED_ON\n\n Entities: \n [{'head': ['", " PLAYS_FOR", " AWARDED_IN_MONTH", " JOINED_WITHIN_TIMEFRAME", " LOANED_FROM", " LOANED_FROM", " PLAYS_FOR", " SELF_REFERENCE", " PLAYED_FOR\n\n Explanation:\n The text states that Ma", " PLAYS_FOR", " PLAYS_FOR", " AWARDED_IN_MONTH", " ASSISTED_BY", " IS_INSTANCE_OF", " ASSISTED", " PLAYS_FOR", " RECIPIENT_OF_AWARD", " ASSISTED", " REPLACE_ME\n\n The relation between Maatsen and Bensebain", " REPLACE_ME\n\n The relation between Maatsen and Julian Ryerson is", " SELF_REFERENCE", " HAS_OUTPUT_IN_THE_FINAL_THIRD_LIKE", " OUTPUT: PRODUCES_OUTPUT_IN_FINAL_THIRD", " SELF_REFERENCE", " PLAYS_FOR", " ONE_MONTH_AGO", " AWARDED_IN_MONTH", " PLAYS_FOR", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION.", " AWARDED_IN_MONTH", " NO_RELATION", " PLAYS_FOR", " WINNER_OF", " NO_RELATION.", " NO_RELATION", " NO_RELATION. In this text, there is no clear relation stated between Maatsen", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " BELONGS_TO", " MEMBER_OF", " PLAYS_FOR", " AWARDED_MONTHLY_AWARD", " ROOT\n ORG_PART_OF\n Bundesliga\n Bundesliga", " AWARDED_IN_MONTH", " TIME_AFTER", " LOANED_FROM", " LOAN_FROM", " MEMBER_OF", " PLAYS_FOR", " PLAYED_FOR", " MEMBER_OF", " HOST_ORGANIZATION", " AWARDED_IN_MONTH", " DEBUTED_IN.", " AWARDED_MONTHLY_AWARD_BY", " ASSISTED", " PLAYS_FOR", " AWARDED_MONTHLY_AWARD_BY", " OPPOSITE_OF_OPPONENT", " DEPUTIZES_FOR", " DEPENDS_ON", " PLAYS_FOR", " LIKE_PLAYER", " OUTPUT: \"IN_THE\"", " PLAYS_FOR", " PLAYS_FOR", " AWARDED_BY", " AWARDED_IN_MONTH", " PLAYS_FOR", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " AWARDED_IN_MONTH", " NO_RELATION", " LEAGUE_MEMBER_OF", " AWARDED_FOR_MONTH", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " IN_COMPANY_WITH", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " TIME_BEFORE", " NO_RELATION", " PREVIOUSLY_BELONGED_TO", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " ASSISTED_BY", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " COMPARISON_TO_OTHER_ENTITY", " NO_RELATION.", " NO_RELATION", " COMPETITOR", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " TIME_DIFF_24_HOURS", " NO_RELATION", " PREVIOUSLY_BELONGED_TO", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " ASSISTED", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION. The text does not provide enough context to determine a relation between Xavi", " NO_RELATION. The text mentions Xavi Simons being a nominee for", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " Xavi_Simons_is_Bundesliga_Rookie_of_the", " NO_RELATION", " Xavi_Simons_was_named_Bundesliga_Rookie_of", " TIME_BEFORE", " NO_RELATION", " LOANED_FROM", " NO_RELATION", " NO_RELATION", " Xavi_Simons_is_a_nominee_for_Bundes", " NO_RELATION", " Xavi_Simons_is_from_RB_Leipzig_and_M", " Xavi_Simons_was_named_Bundesliga_Rookie_of", " XAVI_SIMONS_NOMINATED_FOR_SECOND_RO", " NO_RELATION", " ASSISTED", " NO_RELATION", " Xavi_Simons_is_Bundesliga_Rookie_of_the", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION. The text mentions Raphaël Guerreiro being compared to", " Xavi_Simons_is_in_third_place_at_RB_Le", " NO_RELATION", " COMPETES_WITH", " NO_RELATION", " Xavi_Simons_was_nominated_for_Bundesliga_R", " NO_RELATION", " Xavi_Simons_is_a_nominee_for_Bundes", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " Xavi_Simons_is_Bundesliga_Rookie_of_the", " Xavi_Simons_was_named_Bundesliga_Rookie_of", " NO_RELATION", " NO_RELATION", " Xavi_Simons_won_Bundesliga_Rookie_of_the", " Xavi_Simons_won_Bundesliga_Rookie_of_the", " Xavi_Simons_won_Bundesliga_Rookie_of_the", " Xavi_Simons_won_Bundesliga_Rookie_of_the", " JOINED_ORGANIZATION", " AWARDED_MONTH_ROOKIE\n\n Entities: \n ", " AWARDED_BY", " LOAN_FROM", " AWARDED_BY", " RECIPIENT_OF_AWARD", " AWARDED_BY", " JOINED_ORGANIZATION", " ASSISTED", " RECEIVED_AWARD_FROM", " ASSISTED", " DEPUTIZES", " DEPUTISED_FOR", " AWARDED_MONTH_ROOKIE\n\n Entities: \n ", " SIMILAR_TO", " AWARDED_MONTH_ROOKIE\n\n Entities: \n ", " JOINED_ORGANIZATION", " AWARDED_MONTH_ROOKIE\n\n Entities: \n ", " AWARDED_BY", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " AWARDED_BY", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " TIME_BEFORE", " NO_RELATION", " LOANED_FROM", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " ASSISTED", " NO_RELATION", " NO_RELATION", " ASSISTED", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION. The text does not mention a relation between 'Simons' and '", " NO_RELATION. The text mentions that Xavi Simons won the Bundesliga R", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " BELONGS_TO", " HOST_ORGANIZATION", " MEMBER_OF", " AWARDED_MONTHLY_AWARD_BY", " ROOT_ORGANIZATION_MEMBER_OF\n or\n ME", " AWARDED_MONTH\n\n Entities: \n [{'head':", " TIME_AFTER\n\n Entities: \n [{'head': ['2", " LOANED_FROM", " LOAN_FROM", " LEAGUE", " PLAYS_FOR", " PLAYED_FOR", " LEAGUE", " HOST_ORG.\n\n Entities: \n [{'head':", " AWARDED_MONTH\n\n Entities: \n [{'head':", " DEBUTED_IN.", " AWARDED_MONTHLY_AWARD_BY", " ASSISTED", " PLAYS_FOR", " AWARDED_MONTHLY_AWARD_BY", " OPPOSITE_OF_OPPONENT", " DEPUTIZES_FOR", " PLAYS_FOR\n\n Explanation:\n The text states that Ma", " PLAYS_FOR", " LIKE_PLAYER", " OUTPUT: \"Bundesliga.third\"", " PLAYS_FOR", " HOST_ORG.\n\n Explanation:\n The text states that", " AWARDED_BY", " AWARDED_MONTH\n\n Entities: \n [{'head':", " PLAYS_FOR", " LEAGUE_MEMBER_OF", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " AWARDED_IN_MONTH", " NO_RELATION", " AWARDED_FOR_MONTH", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " JOINED_BY_ORGANIZATION", " AWARDED_MONTH_TO\n\n Entities: \n [{'", " AWARDED_BY", " LOAN_FROM", " AWARDED_BY", " AWARDED_MONTH_TO\n\n Entities: \n [{'", " AWARDED_BY", " JOINED_BY_ORGANIZATION", " ASSISTED", " AWARDED_AT\n\n Entities: \n [{'head': ['", " ASSISTED", " DEPUTIZED_FOR", " PLAYED_FOR\n\n Explanation:\n The text states that Ma", " AWARDED_MONTH_TO\n\n Entities: \n [{'", " SIMILAR_TO", " AWARDED_MONTH_TO\n\n Entities: \n [{'", " JOINED_AT", " AWARDED_MONTH_TO\n\n Entities: \n [{'", " AWARDED_BY", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " AWARDED_BY", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " LOANED_FROM", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " ASSISTED", " NO_RELATION", " ASSISTED", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION. The text mentions Raphaël Guerreiro in relation to", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " TIME_DIFF\n\n Entities: \n [{'head': ['I", " NO_RELATION", " PREVIOUS_TEAM", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " PREVIOUSLY_PLAYED_FOR", " NO_RELATION", " NO_RELATION", " NO_RELATION", " TEAMMATE", " NO_RELATION", " NO_RELATION", " NO_RELATION", " PREVIOUSLY_HOLD_POSITION", " NO_RELATION", " NO_RELATION", " AURA_OF", " Victor Boniface (HEAD) won (RELATION) the award for the first (TAIL", " NO_RELATION", " PREVIOUS_TEAM", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " DIFFERENT_FROM_PREVIOUS_MONTH", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " PREVIOUS_ROOKIE_OF_THE_MONTH", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION. In the text, there is no mention of a relation between Victor Bon", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " MONTH_AWARDED_TO_LEAGUE", " LOANED_FROM", " MONTH_AWARDED_TO_LEAGUE", " NO_RELATION", " MONTH_AWARDED_TO_LEAGUE", " NO_RELATION", " ASSISTED", " NO_RELATION", " ASSISTED", " DEPUTIZED_FOR", " NO_RELATION", " NO_RELATION", " NO_RELATION. The text mentions an 'aurora' of Raphaël", " NO_RELATION", " NO_RELATION", " NO_RELATION", " MONTH_AWARDED_TO_LEAGUE", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " MONTH_AWARDED_TO_LEAGUE", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " LOANED_FROM", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " ASSISTED", " NO_RELATION", " PLAYED_AGAINST", " DEPUTIZED_FOR", " NO_RELATION", " NO_RELATION", " NO_RELATION. The text mentions an 'aurora' of Raphaël", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " JOINED_ORGANIZATION", " NO_RELATION", " NO_RELATION", " LOANED_FROM", " NO_RELATION", " NO_RELATION", " NO_RELATION", " JOINED_ORGANIZATION", " ASSISTED", " NO_RELATION", " ASSISTED", " DEPUTIZES", " DEPENDS_ON", " NO_RELATION", " SIMILAR_TO", " NO_RELATION", " JOINED_ORGANIZATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " LOANED_FROM", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION. The text does not provide enough context to determine a relation between the entities", " ASSISTED", " NO_RELATION", " HELPED", " DEPUTIZED_FOR", " NO_RELATION", " NO_RELATION", " SIMILAR_TO", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION", " NO_RELATION" ]
[ [ "0", "3", "DATE", "Just one month" ], [ "7", "9", "ORG", "Borussia Dortmund" ], [ "10", "12", "PERSON", "Ian Maatsen" ], [ "13", "14", "DATE", "21" ], [ "18", "19", "ORG", "Bundesliga" ], [ "25", "26", "DATE", "January" ], [ "28", "31", "TIME", "Just 24 hours" ], [ "35", "38", "DATE", "six-month" ], [ "40", "41", "ORG", "Chelsea" ], [ "47", "48", "ORG", "Bundesliga" ], [ "51", "52", "PERSON", "Maatsen" ], [ "54", "55", "CARDINAL", "three" ], [ "55", "56", "ORG", "Bundesliga" ], [ "58", "60", "ORG", "Borussia Dortmund" ], [ "61", "62", "DATE", "January" ], [ "66", "67", "ORDINAL", "second" ], [ "70", "75", "DATE", "21-year-old" ], [ "78", "80", "PERSON", "Donyell Malen" ], [ "81", "82", "ORG", "BVB" ], [ "83", "84", "CARDINAL", "4" ], [ "88", "90", "ORG", "FC Köln" ], [ "94", "96", "PERSON", "Ramy Bensebaini" ], [ "97", "99", "PERSON", "Julian Ryerson" ], [ "100", "101", "PERSON", "Maatsen" ], [ "117", "119", "PERSON", "Raphaël Guerreiro" ], [ "129", "130", "ORDINAL", "third" ], [ "135", "136", "PERSON", "Maatsen" ], [ "146", "147", "ORG", "Dortmund" ], [ "149", "150", "CARDINAL", "one" ], [ "152", "153", "DATE", "January" ], [ "155", "156", "PERSON", "Maatsen" ], [ "161", "162", "ORG", "Bundesliga" ], [ "167", "169", "PERSON", "Maximilian Beier" ], [ "170", "171", "ORG", "Hoffenheim" ], [ "173", "175", "PERSON", "Xavi Simons" ], [ "176", "178", "ORG", "RB Leipzig" ], [ "183", "185", "DATE", "this month" ], [ "186", "187", "PERSON", "Simons" ], [ "189", "190", "ORG", "Bundesliga" ], [ "192", "194", "DATE", "the Month" ], [ "195", "196", "DATE", "December" ], [ "198", "200", "ORG", "Bayer Leverkusen" ], [ "201", "203", "PERSON", "Victor Boniface" ], [ "207", "208", "DATE", "August" ], [ "209", "210", "DATE", "September" ], [ "211", "212", "DATE", "October" ], [ "213", "214", "DATE", "November" ] ]
32,899
32,901
[ "Pyramid Lake is an improvised quartet of dynamic musicians with varying backgrounds from noise rock, taonga pūoro & jazz to contemporary classical who share a love for improv & sonic exploration\nRob Thorne - taonga pūoro\nGlen Downie - Saxophone\nSimon Eastwood - Bass\nDexter Stanley-Tauvao - Drums\nComposting Impostors/Green Room\nComposting Impostors and later Green Room was founded as a composer/improviser ensemble to explore the boundaries between composition and improvisation.\nConducer is a piece with composed rhythmic cells and tutti groupings which are conducted and assembled live\nThe Hypesax is an electronic extension to the saxophone created by Cristopher Ramos-Flores. I have worked with Cris and presented these two improvisations specifically using the feedback setting, which sends feedback through the bore of the saxophone, which can be manipulated by fingering and air pressure.\nArthur Street Loft Orchestra\nAt the invitation of Arthur St Loft Orchestra impresario, Jake Baxendale, this 50 minute suite for medium/large jazz ensemble was completed and performed in 2019 with a successful repeat in 2020.\nOne of my favourite and successful projects for fusing together my love of compositional rigour and unrelenting free playing." ]
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mistralai/Mistral-7B-Instruct-v0.2
You are a fantastic relation extraction model who only outputs valid JSON. Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION. ONLY RETURN THE RELATION LABEL. Do not add additional text. Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship. Text: ['Pyramid Lake is an improvised quartet of dynamic musicians with varying backgrounds from noise rock, taonga pūoro & jazz to contemporary classical who share a love for improv & sonic exploration\nRob Thorne - taonga pūoro\nGlen Downie - Saxophone\nSimon Eastwood - Bass\nDexter Stanley-Tauvao - Drums\nComposting Impostors/Green Room\nComposting Impostors and later Green Room was founded as a composer/improviser ensemble to explore the boundaries between composition and improvisation.\nConducer is a piece with composed rhythmic cells and tutti groupings which are conducted and assembled live\nThe Hypesax is an electronic extension to the saxophone created by Cristopher Ramos-Flores. I have worked with Cris and presented these two improvisations specifically using the feedback setting, which sends feedback through the bore of the saxophone, which can be manipulated by fingering and air pressure.\nArthur Street Loft Orchestra\nAt the invitation of Arthur St Loft Orchestra impresario, Jake Baxendale, this 50 minute suite for medium/large jazz ensemble was completed and performed in 2019 with a successful repeat in 2020.\nOne of my favourite and successful projects for fusing together my love of compositional rigour and unrelenting free playing.'] Entities: [{'head': ['0', '2', 'ORG', 'Pyramid Lake'], 'tail': ['33', '35', 'PERSON', 'Rob Thorne']}] Relation:
[ [ { "head": [ "0", "2", "ORG", "Pyramid Lake" ], "tail": [ "33", "35", "PERSON", "Rob Thorne" ] } ], [ { "head": [ "0", "2", "ORG", "Pyramid Lake" ], "tail": [ "39", "41", "PERSON", "Glen Downie" ] } ], [ { "head": [ "0", "2", "ORG", "Pyramid Lake" ], "tail": [ "44", "46", "PERSON", "Simon Eastwood" ] } ], [ { "head": [ "0", "2", "ORG", "Pyramid Lake" ], "tail": [ "50", "53", "PERSON", "Stanley-Tauvao" ] } ], [ { "head": [ "0", "2", "ORG", "Pyramid Lake" ], "tail": [ "56", "58", "ORG", "Composting Impostors" ] } ], [ { "head": [ "0", "2", "ORG", "Pyramid Lake" ], "tail": [ "66", "68", "ORG", "Green Room" ] } ], [ { "head": [ "0", "2", "ORG", "Pyramid Lake" ], "tail": [ "86", "87", "PRODUCT", "Conducer" ] } ], [ { "head": [ "0", "2", "ORG", "Pyramid Lake" ], "tail": [ "105", "106", "PRODUCT", "Hypesax" ] } ], [ { "head": [ "0", "2", "ORG", "Pyramid Lake" ], "tail": [ "115", "119", "PERSON", "Cristopher Ramos-Flores" ] } ], [ { "head": [ "0", "2", "ORG", "Pyramid Lake" ], "tail": [ "124", "125", "PERSON", "Cris" ] } ], [ { "head": [ "0", "2", "ORG", "Pyramid Lake" ], "tail": [ "128", "129", "CARDINAL", "two" ] } ], [ { "head": [ "0", "2", "ORG", "Pyramid Lake" ], "tail": [ "157", "161", "ORG", "Arthur Street Loft Orchestra" ] } ], [ { "head": [ "0", "2", "ORG", "Pyramid Lake" ], "tail": [ "166", "170", "ORG", "Arthur St Loft Orchestra" ] } ], [ { "head": [ "0", "2", "ORG", "Pyramid Lake" ], "tail": [ "172", "174", "PERSON", "Jake Baxendale" ] } ], [ { "head": [ "0", "2", "ORG", "Pyramid Lake" ], "tail": [ "176", "178", "TIME", "50 minute" ] } ], [ { "head": [ "0", "2", "ORG", "Pyramid Lake" ], "tail": [ "190", "191", "DATE", "2019" ] } ], [ { "head": [ "0", "2", "ORG", "Pyramid Lake" ], "tail": [ "196", "197", "DATE", "2020" ] } ], [ { "head": [ "0", "2", "ORG", "Pyramid Lake" ], "tail": [ "199", "200", "CARDINAL", "One" ] } ], [ { "head": [ "33", "35", "PERSON", "Rob Thorne" ], "tail": [ "0", "2", "ORG", "Pyramid Lake" ] } ], [ { "head": [ "33", "35", "PERSON", "Rob Thorne" ], "tail": [ "39", "41", "PERSON", "Glen Downie" ] } ], [ { "head": [ "33", "35", "PERSON", "Rob Thorne" ], "tail": [ "44", "46", "PERSON", "Simon Eastwood" ] } ], [ { "head": [ "33", "35", "PERSON", "Rob Thorne" ], "tail": [ "50", "53", "PERSON", "Stanley-Tauvao" ] } ], [ { "head": [ "33", "35", "PERSON", "Rob Thorne" ], "tail": [ "56", "58", "ORG", "Composting Impostors" ] } ], [ { "head": [ "33", "35", "PERSON", "Rob Thorne" ], "tail": [ "66", "68", "ORG", "Green Room" ] } ], [ { "head": [ "33", "35", "PERSON", "Rob Thorne" ], "tail": [ "86", "87", "PRODUCT", "Conducer" ] } ], [ { "head": [ "33", "35", "PERSON", "Rob Thorne" ], "tail": [ "105", "106", "PRODUCT", "Hypesax" ] } ], [ { "head": [ "33", "35", "PERSON", "Rob Thorne" ], "tail": [ "115", "119", "PERSON", "Cristopher Ramos-Flores" ] } ], [ { "head": [ "33", "35", "PERSON", "Rob Thorne" ], "tail": [ "124", "125", "PERSON", "Cris" ] } ], [ { "head": [ "33", "35", "PERSON", "Rob Thorne" ], "tail": [ "128", "129", 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"tail": [ "50", "53", "PERSON", "Stanley-Tauvao" ] } ], [ { "head": [ "157", "161", "ORG", "Arthur Street Loft Orchestra" ], "tail": [ "56", "58", "ORG", "Composting Impostors" ] } ], [ { "head": [ "157", "161", "ORG", "Arthur Street Loft Orchestra" ], "tail": [ "66", "68", "ORG", "Green Room" ] } ], [ { "head": [ "157", "161", "ORG", "Arthur Street Loft Orchestra" ], "tail": [ "86", "87", "PRODUCT", "Conducer" ] } ], [ { "head": [ "157", "161", "ORG", "Arthur Street Loft Orchestra" ], "tail": [ "105", "106", "PRODUCT", "Hypesax" ] } ], [ { "head": [ "157", "161", "ORG", "Arthur Street Loft Orchestra" ], "tail": [ "115", "119", "PERSON", "Cristopher Ramos-Flores" ] } ], [ { "head": [ "157", "161", "ORG", "Arthur Street Loft Orchestra" ], "tail": [ "124", "125", "PERSON", "Cris" ] } ], [ { "head": [ "157", "161", "ORG", "Arthur Street Loft Orchestra" ], "tail": [ "128", "129", "CARDINAL", "two" ] } ], [ { "head": [ "157", "161", "ORG", "Arthur Street Loft Orchestra" ], "tail": [ "166", "170", "ORG", "Arthur St Loft Orchestra" ] } ], [ { "head": [ "157", "161", "ORG", "Arthur Street Loft Orchestra" ], "tail": [ "172", "174", "PERSON", "Jake Baxendale" ] } ], [ { "head": [ "157", "161", "ORG", "Arthur Street Loft Orchestra" ], "tail": [ "176", "178", "TIME", "50 minute" ] } ], [ { "head": [ "157", "161", "ORG", "Arthur Street Loft Orchestra" ], "tail": [ "190", "191", "DATE", "2019" ] } ], [ { "head": [ "157", "161", "ORG", "Arthur Street Loft Orchestra" ], "tail": [ "196", "197", "DATE", "2020" ] } ], [ { "head": [ "157", "161", "ORG", "Arthur Street Loft Orchestra" ], "tail": [ "199", "200", "CARDINAL", "One" ] } ], [ { "head": [ "166", "170", "ORG", "Arthur St Loft Orchestra" ], "tail": [ "0", "2", "ORG", "Pyramid Lake" ] } ], [ { "head": [ "166", "170", "ORG", "Arthur St Loft Orchestra" ], "tail": [ "33", "35", "PERSON", "Rob Thorne" ] } ], [ { "head": [ "166", "170", "ORG", "Arthur St Loft Orchestra" ], "tail": [ "39", "41", "PERSON", "Glen Downie" ] } ], [ { "head": [ "166", "170", "ORG", "Arthur St Loft Orchestra" ], "tail": [ "44", "46", "PERSON", "Simon Eastwood" ] } ], [ { "head": [ "166", "170", "ORG", "Arthur St Loft Orchestra" ], "tail": [ "50", "53", "PERSON", "Stanley-Tauvao" ] } ], [ { "head": [ "166", "170", "ORG", "Arthur St Loft Orchestra" ], "tail": [ "56", "58", "ORG", "Composting Impostors" ] } ], [ { "head": [ "166", "170", "ORG", "Arthur St Loft Orchestra" ], "tail": [ "66", "68", "ORG", "Green Room" ] } ], [ { "head": [ "166", "170", "ORG", "Arthur St Loft Orchestra" ], "tail": [ "86", "87", "PRODUCT", "Conducer" ] } ], [ { "head": [ "166", "170", "ORG", "Arthur St Loft Orchestra" ], "tail": [ "105", "106", "PRODUCT", "Hypesax" ] } ], [ { "head": [ "166", "170", "ORG", "Arthur St Loft Orchestra" ], "tail": [ "115", "119", "PERSON", "Cristopher Ramos-Flores" ] } ], [ { "head": [ "166", "170", "ORG", "Arthur St Loft Orchestra" ], "tail": [ "124", "125", "PERSON", "Cris" ] } ], [ { "head": [ "166", "170", "ORG", "Arthur St Loft Orchestra" ], "tail": [ "128", "129", "CARDINAL", "two" ] } ], [ { "head": [ "166", "170", "ORG", "Arthur St Loft Orchestra" ], "tail": [ "157", "161", "ORG", "Arthur Street Loft Orchestra" ] } ], [ { "head": [ "166", "170", "ORG", "Arthur St Loft Orchestra" ], "tail": [ "172", "174", "PERSON", "Jake Baxendale" ] } ], [ { "head": [ "166", "170", "ORG", "Arthur St Loft Orchestra" ], "tail": [ "176", "178", "TIME", "50 minute" ] } ], [ { "head": [ "166", "170", "ORG", "Arthur St Loft Orchestra" ], "tail": [ "190", "191", "DATE", "2019" ] } ], [ { "head": [ "166", "170", "ORG", "Arthur St Loft Orchestra" ], "tail": [ "196", "197", "DATE", "2020" ] } ], [ { "head": [ "166", "170", "ORG", "Arthur St Loft Orchestra" ], "tail": [ "199", "200", "CARDINAL", "One" ] } ], [ { "head": [ "172", "174", "PERSON", "Jake Baxendale" ], "tail": [ "0", "2", "ORG", "Pyramid Lake" ] } ], [ { "head": [ "172", "174", "PERSON", "Jake Baxendale" ], "tail": [ "33", "35", "PERSON", "Rob Thorne" ] } ], [ { "head": [ "172", "174", "PERSON", "Jake Baxendale" ], "tail": [ "39", "41", "PERSON", "Glen Downie" ] } ], [ { "head": [ "172", "174", "PERSON", "Jake Baxendale" ], "tail": [ "44", "46", "PERSON", "Simon Eastwood" ] } ], [ { "head": [ "172", "174", "PERSON", "Jake Baxendale" ], "tail": [ "50", "53", "PERSON", "Stanley-Tauvao" ] } ], [ { "head": [ "172", "174", "PERSON", "Jake Baxendale" ], "tail": [ "56", "58", "ORG", "Composting Impostors" ] } ], [ { "head": [ "172", "174", "PERSON", "Jake Baxendale" ], "tail": [ "66", "68", "ORG", "Green Room" ] } ], [ { "head": [ "172", "174", "PERSON", "Jake Baxendale" ], "tail": [ "86", "87", "PRODUCT", "Conducer" ] } ], [ { "head": [ "172", "174", "PERSON", "Jake Baxendale" ], "tail": [ "105", "106", "PRODUCT", "Hypesax" ] } ], [ { "head": [ "172", "174", "PERSON", "Jake Baxendale" ], "tail": [ "115", "119", "PERSON", "Cristopher Ramos-Flores" ] } ], [ { "head": [ "172", "174", "PERSON", "Jake Baxendale" ], "tail": [ "124", "125", "PERSON", "Cris" ] } ], [ { "head": [ "172", "174", "PERSON", "Jake Baxendale" ], "tail": [ "128", "129", "CARDINAL", "two" ] } ], [ { "head": [ "172", "174", "PERSON", "Jake Baxendale" ], "tail": [ "157", "161", "ORG", "Arthur Street Loft Orchestra" ] } ], [ { "head": [ "172", "174", "PERSON", "Jake Baxendale" ], "tail": [ "166", "170", "ORG", "Arthur St Loft Orchestra" ] } ], [ { "head": [ "172", "174", "PERSON", "Jake Baxendale" ], "tail": [ "176", "178", "TIME", "50 minute" ] } ], [ { "head": [ "172", "174", "PERSON", "Jake Baxendale" ], "tail": [ "190", "191", "DATE", "2019" ] } ], [ { "head": [ "172", "174", "PERSON", "Jake Baxendale" ], "tail": [ "196", "197", "DATE", "2020" ] } ], [ { "head": [ "172", "174", "PERSON", "Jake Baxendale" ], "tail": [ "199", "200", "CARDINAL", "One" ] } ], [ { "head": [ "176", "178", "TIME", "50 minute" ], "tail": [ "0", "2", "ORG", "Pyramid Lake" ] } ], [ { "head": [ "176", "178", "TIME", "50 minute" ], "tail": [ "33", "35", "PERSON", "Rob Thorne" ] } ], [ { "head": [ "176", "178", "TIME", "50 minute" ], "tail": [ "39", "41", "PERSON", "Glen Downie" ] } ], [ { "head": [ "176", "178", "TIME", "50 minute" ], "tail": [ "44", "46", "PERSON", "Simon Eastwood" ] } ], [ { "head": [ "176", "178", "TIME", "50 minute" ], "tail": [ "50", "53", "PERSON", "Stanley-Tauvao" ] } ], [ { "head": [ "176", "178", "TIME", "50 minute" ], "tail": [ "56", "58", "ORG", "Composting Impostors" ] } ], [ { "head": [ "176", "178", "TIME", "50 minute" ], "tail": [ "66", "68", "ORG", "Green Room" ] } ], [ { "head": [ "176", "178", "TIME", "50 minute" ], "tail": [ "115", "119", "PERSON", "Cristopher Ramos-Flores" ] } ], [ { "head": [ "176", "178", "TIME", "50 minute" ], "tail": [ "124", "125", "PERSON", "Cris" ] } ], [ { "head": [ "176", "178", "TIME", "50 minute" ], "tail": [ "157", "161", "ORG", "Arthur Street Loft Orchestra" ] } ], [ { "head": [ "176", "178", "TIME", "50 minute" ], "tail": [ "166", "170", "ORG", "Arthur St Loft Orchestra" ] } ], [ { "head": [ "176", "178", "TIME", "50 minute" ], "tail": [ "172", "174", "PERSON", "Jake Baxendale" ] } ], [ { "head": [ "190", "191", "DATE", "2019" ], "tail": [ "0", "2", "ORG", "Pyramid Lake" ] } ], [ { "head": [ "190", "191", "DATE", "2019" ], "tail": [ "33", "35", "PERSON", "Rob Thorne" ] } ], [ { "head": [ "190", "191", "DATE", "2019" ], "tail": [ "39", "41", "PERSON", "Glen Downie" ] } ], [ { "head": [ "190", "191", "DATE", "2019" ], "tail": [ "44", "46", "PERSON", "Simon Eastwood" ] } ], [ { "head": [ "190", "191", "DATE", "2019" ], "tail": [ "50", "53", "PERSON", "Stanley-Tauvao" ] } ], [ { "head": [ "190", "191", "DATE", "2019" ], "tail": [ "56", "58", "ORG", "Composting Impostors" ] } ], [ { "head": [ "190", "191", "DATE", "2019" ], "tail": [ "66", "68", "ORG", "Green Room" ] } ], [ { "head": [ "190", "191", "DATE", "2019" ], "tail": [ "115", "119", "PERSON", "Cristopher Ramos-Flores" ] } ], [ { "head": [ "190", "191", "DATE", "2019" ], "tail": [ "124", "125", "PERSON", "Cris" ] } ], [ { "head": [ "190", "191", "DATE", "2019" ], "tail": [ "157", "161", "ORG", "Arthur Street Loft Orchestra" ] } ], [ { "head": [ "190", "191", "DATE", "2019" ], "tail": [ "166", "170", "ORG", "Arthur St Loft Orchestra" ] } ], [ { "head": [ "190", "191", "DATE", "2019" ], "tail": [ "172", "174", "PERSON", "Jake Baxendale" ] } ], [ { "head": [ "196", "197", "DATE", "2020" ], "tail": [ "0", "2", "ORG", "Pyramid Lake" ] } ], [ { "head": [ "196", "197", "DATE", "2020" ], "tail": [ "33", "35", "PERSON", "Rob Thorne" ] } ], [ { "head": [ "196", "197", "DATE", "2020" ], "tail": [ "39", "41", "PERSON", "Glen Downie" ] } ], [ { "head": [ "196", "197", "DATE", "2020" ], "tail": [ "44", "46", "PERSON", "Simon Eastwood" ] } ], [ { "head": [ "196", "197", "DATE", "2020" ], "tail": [ "50", "53", "PERSON", "Stanley-Tauvao" ] } ], [ { "head": [ "196", "197", "DATE", "2020" ], "tail": [ "56", "58", "ORG", "Composting Impostors" ] } ], [ { "head": [ "196", "197", "DATE", "2020" ], "tail": [ "66", "68", "ORG", "Green Room" ] } ], [ { "head": [ "196", "197", "DATE", "2020" ], "tail": [ "115", "119", "PERSON", "Cristopher Ramos-Flores" ] } ], [ { "head": [ "196", "197", "DATE", "2020" ], "tail": [ "124", "125", "PERSON", "Cris" ] } ], [ { "head": [ "196", "197", "DATE", "2020" ], "tail": [ "157", "161", "ORG", "Arthur Street Loft Orchestra" ] } ], [ { "head": [ "196", "197", "DATE", "2020" ], "tail": [ "166", "170", "ORG", "Arthur St Loft Orchestra" ] } ], [ { "head": [ "196", "197", "DATE", "2020" ], "tail": [ "172", "174", "PERSON", "Jake Baxendale" ] } ], [ { "head": [ "199", "200", "CARDINAL", "One" ], "tail": [ "0", "2", "ORG", "Pyramid Lake" ] } ], [ { "head": [ "199", "200", "CARDINAL", "One" ], "tail": [ "33", "35", "PERSON", "Rob Thorne" ] } ], [ { "head": [ "199", "200", "CARDINAL", "One" ], "tail": [ "39", "41", "PERSON", "Glen Downie" ] } ], [ { "head": [ "199", "200", "CARDINAL", "One" ], "tail": [ "44", "46", "PERSON", "Simon Eastwood" ] } ], [ { "head": [ "199", "200", "CARDINAL", "One" ], "tail": [ "50", "53", "PERSON", "Stanley-Tauvao" ] } ], [ { "head": [ "199", "200", "CARDINAL", "One" ], "tail": [ "56", "58", "ORG", "Composting Impostors" ] } ], [ { "head": [ "199", "200", "CARDINAL", "One" ], "tail": [ "66", "68", "ORG", "Green Room" ] } ], [ { "head": [ "199", "200", "CARDINAL", "One" ], "tail": [ "115", "119", "PERSON", "Cristopher Ramos-Flores" ] } ], [ { "head": [ "199", "200", "CARDINAL", "One" ], "tail": [ "124", "125", "PERSON", "Cris" ] } ], [ { "head": [ "199", "200", "CARDINAL", "One" ], "tail": [ "157", "161", "ORG", "Arthur Street Loft Orchestra" ] } ], [ { "head": [ "199", "200", "CARDINAL", "One" ], "tail": [ "166", "170", "ORG", "Arthur St Loft Orchestra" ] } ], [ { "head": [ "199", "200", "CARDINAL", "One" ], "tail": [ "172", "174", "PERSON", "Jake Baxendale" ] } ] ]
[ " MUSICIAN_OF\n\n Explanation:\n The text states", " MUSICIAN_IN_MUSIC_GROUP", " MEMBER_OF", " MEMBER_OF", " FOUNDED_BY", " FOUNDED_BY", " COMPOSED.", " INSTRUMENT.\n # This model is a fantastic relation extraction model who only outputs", " COLLABORATOR", " WORKED_WITH", " MEMBER_OF", " INVITED_BY", " INVITED_BY", " INVITED_BY", " COMPOSED", " PERFORMED_IN_YEAR", " PERFORMED_ON\n\n Explanation:\n The text mentions that", " FOUNDED_BY", " MEMBER_OF", " MUSICIAN\n PLAYS_WITH\n MUSICIAN", " MUSICIAN\n The entities provided are musicians in the same band, so the", " MUSICIAN\n The entities provided are Rob Thorne and Dexter Stanley", " FOUNDER", " FOUNDER", " PLAYS_WITH\n\n Explanation:\n Rob Thorne plays with", " PLAYS_WITH\n\n Explanation:\n Rob Thorne plays with", " WORKED_WITH", " WORKED_WITH", " PLAYS_WITH\n\n Entities: \n [{'head': ['", " INVITED_BY", " INVITED_BY", " INVITED_BY", " COMPOSED_IN.", " PERFORMED_AT", " PERFORMED_AT", " FOUNDER.OF.ORGANIZATION.BY_PERSON.PERSON", " MEMBER_OF", " MUSICIAN_PLAYS_MUSICIAN", " MUSICIAN\n PLAYS_MUSIC_WITH\n M", " MUSICIAN\n The entities represent musicians in the text, and the relation between", " MEMBER_OF", " MEMBER_OF", " PLAYS_MUSIC_FOR\n\n Explanation:\n Glen", " PLAYS_WITH\n\n Explanation:\n Glen Downie plays with", " COLLABORATOR", " WORKED_WITH", " PLAY_IN_ENSEMBLE", " INVITED_BY", " INVITED_BY", " INVITED_BY", " COMPOSED_IN.", " PERFORMED_AT", " PERFORMED_ON\n\n Explanation:\n Glen Downie performed on", " PLAY_IN_ENSEMBLE", " MEMBER_OF", " MUSICIAN\n\n Explanation:\n The text mentions that", " MUSICIAN_IN_BAND", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " COMPOSED_MUSIC_FOR\n\n Or, if the entities are revers", " PLAYS_WITH\n\n Explanation:\n Simon Eastwood plays with", " WORKED_WITH", " WORKED_WITH", " MEMBER_OF", " COMPOSED_FOR", " COMPOSED_FOR", " INVITED_BY", " COMPOSED_IN", " COMPLETED_IN.", " PERFORMED_ON\n\n Explanation:\n Simon Eastwood performed on", " BASED_ON", " MEMBER_OF", " PLAYS_IN\n\n Explanation:\n The text mentions that", " PLAYS_IN\n\n Explanation:\n Glen Downie and D", " MEMBER_OF", " FOUNDER", " MEMBER_OF", " PLAYS_WITH\n\n Entities: \n [{'head': ['", " PLAYS_WITH\n\n Explanation:\n The text mentions that", " WORKED_WITH", " WORKED_WITH", " MEMBER_OF", " INVITED_BY", " INVITED_BY", " INVITED_BY", " COMPOSED_IN", " PERFORMED_AT", " PERFORMED_AT", " PERFORMED_IN\n\n Entities: \n [{'head': ['", " FOUNDED_BY", " MEMBER_OF", " IMPROVISATION_ENSEMBLE_MEMBER", " MEMBER_OF", " MEMBER_OF", " FOUNDING_ORGANIZATION", " COMPOSED.", " USED_BY", " COLLABORATOR", " WORKED_WITH", " FOUNDER", " FOUNDED_BY", " INVITED_BY", " INVITED_BY", " COMPOSED", " FOUNDING_DATE", " PERFORMED_ON\n\n Explanation:\n The context states that the", " FOUNDED_BY", " FOUNDED_BY", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " MEMBER_OF", " FOUNDER", " COMPOSED_MUSIC_FOR\n\n Or, if the entities are revers", " IMPROV_WITH\n\n Explanation:\n The text mentions that", " COLLABORATOR", " WORKED_WITH", " FOUNDED_BY", " FOUNDED_BY", " FOUNDED_BY", " INVITED_BY", " FOUNDING_DATE", " FOUNDED_IN", " PERFORMED_AT", " FOUNDED_BY", " COMPOSED_BY", " CREATED_BY", " COMPOSED_FOR", " COMPOSED_BY", " COMPOSED_FOR", " COMPOSED_BY", " COMPOSED_BY", " CREATED_BY", " CREATED_BY", " COMPOSED_FOR", " COMPOSED_FOR", " INVITED_PERSON. The model correctly identified the relation between the head entity '", " MUSICIAN_USES_INSTRUMENT", " USED_BY", " USES", " USES", " PLAYS_WITH", " CREATED_BY", " IMPROV_ENSEMBLE_USES_TECHNOLOGY", " CREATOR", " CREATED_BY", " WORKED_WITH", " WORKED_WITH", " INVITED_BY", " CREATED_BY", " WORKED_WITH", " COLLABORATOR", " COLLABORATOR", " COLLABORATOR", " CREATED_BY", " CREATED_BY", " CREATED_BY", " CREATED_BY", " CREATED_BY", " CREATED_BY", " INVITED_BY", " INVITED_BY", " INVITED_BY", " CREATED_IN", " WORKED_WITH", " PERFORMED_IN.", " CREATED_BY", " COLLABORATOR", " WORKED_WITH", " WORKED_WITH", " WORKED_WITH", " WORKED_WITH", " COLLABORATOR", " CREATED_BY", " CREATED_BY", " CREATED_BY", " CREATED_BY", " IMPROVISATION_WITH", " INVITED_BY", " INVITED_BY", " INVITED_BY", " COMPOSED_IN", " WORKED_WITH", " PERFORMED_AT", " CREATED_BY", " IS_PART_OF", " PLAYS_IN\n\n Explanation:\n The text mentions that", " PLAY_IN_MUSIC_GROUP", " MEMBER_OF", " DRUMS_PLAYER", " FOUNDED_BY", " FOUNDED_BY", " CREATED_BY", " WORKED_WITH", " INVITED_BY", " INVITED_BY", " INVITED_BY", " INVITED_BY", " INVITED_PERFORMER", " IMPRESARIO_OF", " MEMBER_OF", " MEMBER_OF", " INVITED_BY", " INVITED_BY", " COMPOSED_MUSIC_FOR\n\n Or, if the entities were revers", " INVITED_PERFORMANCE", " WORKED_WITH", " INVITED_PERSON. The head entity (Arthur Street Loft Orchestra)", " INVITED_BY", " INVITED_BY", " INVITED_BY", " COMPOSED", " INVITED_BY", " PERFORMED_IN_YEAR", " INVITED_BY", " INVITED_BY", " INVITED_PERFORMER", " IMPRESARIO_OF", " MEMBER_OF", " IMPRESARIO_OF", " INVITED_BY", " INVITED_BY", " PERFORMED_AT.ORGANIZED_BY", " INVITED_PERFORMANCE", " WORKED_WITH", " INVITED_PERSON_TO_ENSEMBLE", " INVITED_BY", " IMPRESARIO", " INVITED_BY", " COMPOSED", " INVITED_BY", " PERFORMED_IN_YEAR", " INVITED_BY", " INVITED_BY", " INVITED_PERSON", " INVITED_PERSON", " INVITED_PERSON", " INVITED_PERSON", " INVITED_BY", " INVITED_BY", " INVITED_PERFORMER", " INVITED_PERFORMER", " INVITED_PERSON", " INVITED_PERSON", " INVITED_PERFORMER", " INVITED_BY", " INVITED_BY", " INVITED_PERFORMANCE_AT.", " INVITED_YEAR", " INVITED_YEARS_AGO", " INVITED_BY", " COMPOSED_BY", " IMPROVED_BY\n\n Explanation:\n The text states that Rob", " PERFORMED_IN.", " COMPOSED_BY", " COMPOSED_FOR", " FOUNDING_ORGANIZATION", " COMPOSED_FOR", " COLLABORATOR", " WORKED_WITH", " PERFORMED_FOR", " PERFORMED_FOR", " INVITED_BY", " PERFORMED_AT", " INVITED_PERFORMER", " PERFORMED_IN.", " COMPOSED_MUSIC_FOR", " PERFORMED_IN\n\n Entities: \n [{'head': ['", " FOUNDED_BY", " FOUNDED_BY", " WORKED_WITH", " WORKED_WITH", " INVITED_BY", " INVITED_BY", " INVITED_PERSON", " PERFORMED_AT", " PERFORMED_IN\n\n Explanation:\n The text mentions that", " PERFORMED_IN.", " PERFORMED_IN\n\n Explanation:\n The text mentions that", " PERFORMED_IN\n\n Entities: \n [{'head': ['", " PERFORMED_BY", " PERFORMED_AT", " WORKED_WITH", " WORKED_WITH", " INVITED_BY", " INVITED_BY", " INVITED_BY", " FOUNDED_BY", " MUSICIAN_OF\n\n Entities: \n [{'head", " PLAYS_IN\n\n Explanation:\n Glen Downie is a", " MEMBER_OF", " MEMBER_OF", " FOUNDED_BY", " FOUNDED_BY", " COLLABORATOR", " WORKED_WITH", " INVITED_BY", " INVITED_BY", " INVITED_BY" ]
[ [ "0", "2", "ORG", "Pyramid Lake" ], [ "33", "35", "PERSON", "Rob Thorne" ], [ "39", "41", "PERSON", "Glen Downie" ], [ "44", "46", "PERSON", "Simon Eastwood" ], [ "50", "53", "PERSON", "Stanley-Tauvao" ], [ "56", "58", "ORG", "Composting Impostors" ], [ "66", "68", "ORG", "Green Room" ], [ "86", "87", "PRODUCT", "Conducer" ], [ "105", "106", "PRODUCT", "Hypesax" ], [ "115", "119", "PERSON", "Cristopher Ramos-Flores" ], [ "124", "125", "PERSON", "Cris" ], [ "128", "129", "CARDINAL", "two" ], [ "157", "161", "ORG", "Arthur Street Loft Orchestra" ], [ "166", "170", "ORG", "Arthur St Loft Orchestra" ], [ "172", "174", "PERSON", "Jake Baxendale" ], [ "176", "178", "TIME", "50 minute" ], [ "190", "191", "DATE", "2019" ], [ "196", "197", "DATE", "2020" ], [ "199", "200", "CARDINAL", "One" ] ]
32,900