Athletics

company product service industry brand country location organization person founder position event action founding accusition merger partnership expansion restructuring divestment sale bankruptcy financial_metric business_concept revenue profit loss investment funding market_share competition market_trend regulation innovation sustainability corporate_social_responsibility award date/time year period

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is NER: Named Entity Recognition.

Here is an example of task execution:

{'Schema': ['Person', 'Organization', 'Location', 'Date', 'Product'], 'Text': 'The Eiffel Tower in Paris, designed by Gustave Eiffel, is one of the most famous landmarks in France.', 'Entities': [['Eiffel Tower', 'Location'], ['Paris', 'Location'], ['Gustave Eiffel', 'Person'], ['France', 'Location']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Entity", "Type"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: ["company", "product", "service", "industry", "brand", "country", "location", "organization", "person", "founder", "position", "event", "action", "founding", "accusition", "merger", "partnership", "expansion", "restructuring", "divestment", "sale", "bankruptcy", "financial_metric", "business_concept", "revenue", "profit", "loss", "investment", "funding", "market_share", "competition", "market_trend", "regulation", "innovation", "sustainability", "corporate_social_responsibility", "award", "date/time", "year", "period"]
Text: article: University_of_North_Carolina_at_Chapel_Hill, Athletics: North Carolina's athletic teams are known as the Tar Heels. They compete as a member of theNational Collegiate Athletic Association(NCAA)Division Ilevel (Football Bowl Subdivision (FBS) sub-level for football), primarily competing in theAtlantic Coast Conference(ACC) for all sports since the 1953–54 season.Men's sports include baseball, basketball, cross country, fencing, football, golf, lacrosse, soccer, swimming & diving, tennis, track & field andwrestling; while women's sports include basketball, cross country, fencing, field hockey, golf, gymnastics, lacrosse, rowing, soccer, softball, swimming and diving, tennis, track & field and volleyball. The NCAA refers to UNC-Chapel Hill as the "University of North Carolina" for athletics.As of December 2024, the university had won 51 NCAA team championships in eight different sports, tied for 7th all-time.These include twenty two NCAA championships inwomen's soccer, eleven inwomen's field hockey, five inmen's lacrosse, six inmen's basketball, one inwomen's basketball, one in women’s tennis, three in women’s lacrosse, and two inmen's soccer.The Men's basketball team won its 6th NCAA basketball championship in 2017, the third for Coach Roy Williams since he took the job as head coach. UNC was also retroactively given the title of National Champion for the 1924 championship, but is typically not included in the official tally. Other recent successes include the 2011College Cupin men's soccer, and four consecutiveCollege World Seriesappearances by thebaseball teamfrom 2006 to 2009.In 1994, the university's athletic programs won theSears Directors Cup"all-sports national championship" awarded for cumulative performance in NCAA competition.Consensus collegiate national athletes of the year from North Carolina includeRachel Dawson,Erin Matson,Katelyn Falgowski,Ryleigh Heck,Ashley Hoffman,Leslie Lyness,Cindy Werleyin field hockey;Phil Ford,Kenny Smith,Sean May,Lennie Rosenbluth,Tyler Hansbrough,Jerry Stackhouse,Antawn Jamison,James WorthyandMichael Jordanin men's basketball; andMia Hamm(twice),Yael Averbuch,Amber Brooks,Crystal Dunn,Whitney Engen,Kate Faasse,Lorrie Fair,Meredith Florance,April Henrichs,Debbie Keller,Casey Nogueira,Heather O'Reilly,Cindy Parlow,Catherine Reddick,Lindsay Tarpley,Shannon Higgins,Kristine Lilly, andTisha Venturiniin women's soccer.

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Athletics

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is RE: Relation Extraction.

Here is an example of task execution:

{'Schema': [{'designed': {'domain': 'Person', 'range': 'Structure'}}, {'located_in': {'domain': 'Structure', 'range': 'Location'}}, {'part_of': {'domain': 'City', 'range': 'Country'}}, {'friends_with': {'domain': 'Person', 'range': 'Person'}}, {'lives_at': {'domain': 'Person', 'range': 'Location'}}, {'visits': {'domain': 'Person', 'range': 'Location'}}, {'accompanied_by': {'domain': 'Person', 'range': 'Person'}}, {'shares': {'domain': 'Person', 'range': 'Product'}}], 'Text': 'Gustave Eiffel designed the Eiffel Tower, which is located in Paris, France.', 'Relations': [['Gustave Eiffel', 'designed', 'Eiffel Tower'], ['Eiffel Tower', 'located_in', 'Paris'], ['Paris', 'part_of', 'France']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Subject", "Relation", "Object"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: [{"part_of": {"domain": "Organization", "range": "Organization"}}, {"parent_company_of": {"domain": "Organization", "range": "Organization"}}, {"subsidiary_of": {"domain": "Organization", "range": "Organization"}}, {"acquired": {"domain": "Organization", "range": "Organization"}}, {"divested": {"domain": "Organization", "range": "Organization"}}, {"owns_brand": {"domain": "Organization", "range": "Product/Brand"}}, {"holds_stake_in": {"domain": "Organization", "range": "Organization"}}, {"spun_off": {"domain": "Organization", "range": "Organization"}}, {"formed_from": {"domain": "Organization", "range": "Organization"}}, {"founded_by": {"domain": "Organization", "range": "Person"}}, {"has_CEO": {"domain": "Organization", "range": "Person"}}, {"manufactures": {"domain": "Organization", "range": "ProductType"}}, {"develops": {"domain": "Organization", "range": "ProductType"}}, {"produces": {"domain": "Organization", "range": "ProductType"}}, {"sells": {"domain": "Organization", "range": "ProductType"}}, {"has_product_line": {"domain": "Organization", "range": "Product/Brand"}}, {"is_a_type_of": {"domain": "Product/Brand", "range": "ProductType"}}, {"is_brand_of": {"domain": "Product/Brand", "range": "Organization"}}, {"features_technology": {"domain": "Product/Brand", "range": "Technology"}}, {"uses_material": {"domain": "Product/Brand", "range": "Material"}}, {"launched_product": {"domain": "Organization", "range": "Product/Brand"}}, {"had_revenue_of": {"domain": "Organization", "range": "Amount"}}, {"had_profit_of": {"domain": "Organization", "range": "Amount"}}, {"in_year": {"domain": "FinancialMetric", "range": "Year"}}, {"market_value_of": {"domain": "Organization", "range": "Amount"}}, {"is_publicly_traded": {"domain": "Organization", "range": "Boolean"}}, {"listed_on_exchange": {"domain": "Organization", "range": "StockExchange"}}, {"experienced_growth": {"domain": "Organization", "range": "FinancialMetric"}}, {"occurred_in_year": {"domain": "Event/Action", "range": "Year"}}, {"occurred_on_date": {"domain": "Event/Action", "range": "SpecificDate"}}, {"resulted_in": {"domain": "Event/Action", "range": "Outcome"}}, {"preceded": {"domain": "Event/Action", "range": "Event/Action"}}, {"followed_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"marked_milestone": {"domain": "Event/Action", "range": "Organization"}}, {"influenced_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"led_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"was_a_response_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"has_trademark": {"domain": "Organization", "range": "Trademark"}}, {"uses_logo": {"domain": "Organization", "range": "Logo"}}, {"acquired_trademark_from": {"domain": "Organization", "range": "Organization"}}, {"is_known_for": {"domain": "Organization", "range": "Characteristic"}}, {"launched_campaign": {"domain": "Organization", "range": "BusinessConcept"}}]
Text: article: University_of_North_Carolina_at_Chapel_Hill, Athletics: North Carolina's athletic teams are known as the Tar Heels. They compete as a member of theNational Collegiate Athletic Association(NCAA)Division Ilevel (Football Bowl Subdivision (FBS) sub-level for football), primarily competing in theAtlantic Coast Conference(ACC) for all sports since the 1953–54 season.Men's sports include baseball, basketball, cross country, fencing, football, golf, lacrosse, soccer, swimming & diving, tennis, track & field andwrestling; while women's sports include basketball, cross country, fencing, field hockey, golf, gymnastics, lacrosse, rowing, soccer, softball, swimming and diving, tennis, track & field and volleyball. The NCAA refers to UNC-Chapel Hill as the "University of North Carolina" for athletics.As of December 2024, the university had won 51 NCAA team championships in eight different sports, tied for 7th all-time.These include twenty two NCAA championships inwomen's soccer, eleven inwomen's field hockey, five inmen's lacrosse, six inmen's basketball, one inwomen's basketball, one in women’s tennis, three in women’s lacrosse, and two inmen's soccer.The Men's basketball team won its 6th NCAA basketball championship in 2017, the third for Coach Roy Williams since he took the job as head coach. UNC was also retroactively given the title of National Champion for the 1924 championship, but is typically not included in the official tally. Other recent successes include the 2011College Cupin men's soccer, and four consecutiveCollege World Seriesappearances by thebaseball teamfrom 2006 to 2009.In 1994, the university's athletic programs won theSears Directors Cup"all-sports national championship" awarded for cumulative performance in NCAA competition.Consensus collegiate national athletes of the year from North Carolina includeRachel Dawson,Erin Matson,Katelyn Falgowski,Ryleigh Heck,Ashley Hoffman,Leslie Lyness,Cindy Werleyin field hockey;Phil Ford,Kenny Smith,Sean May,Lennie Rosenbluth,Tyler Hansbrough,Jerry Stackhouse,Antawn Jamison,James WorthyandMichael Jordanin men's basketball; andMia Hamm(twice),Yael Averbuch,Amber Brooks,Crystal Dunn,Whitney Engen,Kate Faasse,Lorrie Fair,Meredith Florance,April Henrichs,Debbie Keller,Casey Nogueira,Heather O'Reilly,Cindy Parlow,Catherine Reddick,Lindsay Tarpley,Shannon Higgins,Kristine Lilly, andTisha Venturiniin women's soccer.

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Men's Lacrosse Championship"], ["Athletics_of_the_University_of_North_Carolina_at_Chapel_Hill", "has_won", "1995 NCAA Division I Men's Lacrosse Championship"], ["Athletics_of_the_University_of_North_Carolina_at_Chapel_Hill", "has_won", "1994 NCAA Division I Men's Lacrosse Championship"], ["Athletics_of_the_University_of_North_Carolina_at_Chapel_Hill", "has_won", "2017 NCAA Division I Women's Basketball Championship"], ["Athletics_of_the_University_of_North_Carolina_at_Chapel_Hill", "has_won", "2016 NCAA Division I Women's Basketball Championship"], ["Athletics_of_the_University_of_North_Carolina_at_Chapel_Hill", "has_won", "2015 NCAA Division I Women's Basketball Championship"], ["Athletics_of_the_University_of_North_Carolina_at_Chapel_Hill", "has_won", "2014 NCAA Division I Women's Basketball Championship"], ["Athletics_of_the_University_of_North_Carolina_at_Chapel_Hill", "has_won", "2013 NCAA Division I Women's Basketball Championship"], ["Athletics_of_the_University_of_North_Carolina_at_Chapel_Hill", "has_won", "2012 NCAA Division I Women's Basketball Championship"], ["Athletics_of_the_University_of_North_Carolina_at_Chapel_Hill", "has_won", "2011 NCAA Division I Women's Basketball Championship"], ["Athletics_of_the_University_of_North_Carolina_at_Chapel_Hill", "has_won", "2010 NCAA Division I Women's Basketball Championship"], ["Athletics_of_the_University_of_North_Carolina_at_Chapel_Hill", "has_won", "2009 NCAA Division I Women's Basketball Championship"], ["Athletics_of_the_University_of_North_Carolina_at_Chapel_Hill", "has_won", "2008 NCAA Division I Women's Basketball Championship"], ["Athletics_of_the_University_of_North_Carolina_at_Chapel_Hill", "has_won", "2007 NCAA Division I Women's Basketball Championship"], ["Athletics_of_the_University_of_North_Carolina_at_Chapel_Hill", "has_won", "2006 NCAA Division I Women's Basketball Championship"], ["Athletics_of_the_University_of_North_Carolina_at_Chapel_Hill", "has_won", "2005 NCAA Division I Women's Basketball Championship"], ["Athletics_of_the_University_of_North_Carolina_at_Chapel_Hill", "has_won", "2004 NCAA Division I Women's Basketball Championship"], {"Athletics_of_the_University_of_North_Carolina_at_Chapel_Hill", "has_won", "2003 NCAA Division I Women's Basketball Championship"}], "University": "University of North Carolina at Chapel Hill", "AthleticDirector": "Jim Holmes", "Coach': "Roy Williams", "Sport': "Men's basketball", "City": "Chapel Hill, North Carolina", "Person": "Phil Ford", "College': "University of North Carolina at Chapel Hill", "League': "Atlantic Coast Conference", "Season': "2014–15", "State': "North Carolina", "Language': "English", "Country': "United States", "Division': 'Division I', "Ground': "Dean Smith Center", "SeasonYear': '2014', "WrittenWork': 'Written work', "Genre': 'Sports'}]


Mascot and nickname

company product service industry brand country location organization person founder position event action founding accusition merger partnership expansion restructuring divestment sale bankruptcy financial_metric business_concept revenue profit loss investment funding market_share competition market_trend regulation innovation sustainability corporate_social_responsibility award date/time year period

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is NER: Named Entity Recognition.

Here is an example of task execution:

{'Schema': ['Person', 'Organization', 'Location', 'Date', 'Product'], 'Text': 'The Eiffel Tower in Paris, designed by Gustave Eiffel, is one of the most famous landmarks in France.', 'Entities': [['Eiffel Tower', 'Location'], ['Paris', 'Location'], ['Gustave Eiffel', 'Person'], ['France', 'Location']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Entity", "Type"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: ["company", "product", "service", "industry", "brand", "country", "location", "organization", "person", "founder", "position", "event", "action", "founding", "accusition", "merger", "partnership", "expansion", "restructuring", "divestment", "sale", "bankruptcy", "financial_metric", "business_concept", "revenue", "profit", "loss", "investment", "funding", "market_share", "competition", "market_trend", "regulation", "innovation", "sustainability", "corporate_social_responsibility", "award", "date/time", "year", "period"]
Text: article: University_of_North_Carolina_at_Chapel_Hill, Mascot and nickname: The university's teams are nicknamed the "Tar Heels", in reference to the state's eighteenth-century prominence as atarandpitchproducer.The nickname's cultural relevance, however, has a complex history that includes anecdotal tales from both theAmerican Civil Warand theAmerican Revolution.The mascot is a liveDorset ramnamedRameses, a tradition that dates back to 1924, when the team manager brought a ram to the annual game againstVirginia Military Institute, inspired by the play of former football player Jack "The Battering Ram" Merrit. The kicker rubbed his head for good luck before a game-winning field goal, and the ram stayed.There is also ananthropomorphicram mascot who appears at games.The modern Rameses is depicted in a sailor's hat, a reference to aUnited States Navyflight training program that was attached to the university during World War II.

[["University_of_North_Carolina_at_Chapel_Hill", "Company"], ["Tar_Heels", "string"], ["United_States_Navy", "string"], ["Rameses_(mascot)", "Mascot"], ["Dorset_ram", "Mascot"], ["1924", "Year"], ["American_Civil_War", "string"], ["American_Revolution", "string"], ["Jack_Merritt", "Person"], ["United_States_Navy", "University"], ["World_War_II", "date"], ["Sailor_s_hat", "string"]]


Mascot and nickname

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is RE: Relation Extraction.

Here is an example of task execution:

{'Schema': [{'designed': {'domain': 'Person', 'range': 'Structure'}}, {'located_in': {'domain': 'Structure', 'range': 'Location'}}, {'part_of': {'domain': 'City', 'range': 'Country'}}, {'friends_with': {'domain': 'Person', 'range': 'Person'}}, {'lives_at': {'domain': 'Person', 'range': 'Location'}}, {'visits': {'domain': 'Person', 'range': 'Location'}}, {'accompanied_by': {'domain': 'Person', 'range': 'Person'}}, {'shares': {'domain': 'Person', 'range': 'Product'}}], 'Text': 'Gustave Eiffel designed the Eiffel Tower, which is located in Paris, France.', 'Relations': [['Gustave Eiffel', 'designed', 'Eiffel Tower'], ['Eiffel Tower', 'located_in', 'Paris'], ['Paris', 'part_of', 'France']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Subject", "Relation", "Object"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: [{"part_of": {"domain": "Organization", "range": "Organization"}}, {"parent_company_of": {"domain": "Organization", "range": "Organization"}}, {"subsidiary_of": {"domain": "Organization", "range": "Organization"}}, {"acquired": {"domain": "Organization", "range": "Organization"}}, {"divested": {"domain": "Organization", "range": "Organization"}}, {"owns_brand": {"domain": "Organization", "range": "Product/Brand"}}, {"holds_stake_in": {"domain": "Organization", "range": "Organization"}}, {"spun_off": {"domain": "Organization", "range": "Organization"}}, {"formed_from": {"domain": "Organization", "range": "Organization"}}, {"founded_by": {"domain": "Organization", "range": "Person"}}, {"has_CEO": {"domain": "Organization", "range": "Person"}}, {"manufactures": {"domain": "Organization", "range": "ProductType"}}, {"develops": {"domain": "Organization", "range": "ProductType"}}, {"produces": {"domain": "Organization", "range": "ProductType"}}, {"sells": {"domain": "Organization", "range": "ProductType"}}, {"has_product_line": {"domain": "Organization", "range": "Product/Brand"}}, {"is_a_type_of": {"domain": "Product/Brand", "range": "ProductType"}}, {"is_brand_of": {"domain": "Product/Brand", "range": "Organization"}}, {"features_technology": {"domain": "Product/Brand", "range": "Technology"}}, {"uses_material": {"domain": "Product/Brand", "range": "Material"}}, {"launched_product": {"domain": "Organization", "range": "Product/Brand"}}, {"had_revenue_of": {"domain": "Organization", "range": "Amount"}}, {"had_profit_of": {"domain": "Organization", "range": "Amount"}}, {"in_year": {"domain": "FinancialMetric", "range": "Year"}}, {"market_value_of": {"domain": "Organization", "range": "Amount"}}, {"is_publicly_traded": {"domain": "Organization", "range": "Boolean"}}, {"listed_on_exchange": {"domain": "Organization", "range": "StockExchange"}}, {"experienced_growth": {"domain": "Organization", "range": "FinancialMetric"}}, {"occurred_in_year": {"domain": "Event/Action", "range": "Year"}}, {"occurred_on_date": {"domain": "Event/Action", "range": "SpecificDate"}}, {"resulted_in": {"domain": "Event/Action", "range": "Outcome"}}, {"preceded": {"domain": "Event/Action", "range": "Event/Action"}}, {"followed_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"marked_milestone": {"domain": "Event/Action", "range": "Organization"}}, {"influenced_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"led_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"was_a_response_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"has_trademark": {"domain": "Organization", "range": "Trademark"}}, {"uses_logo": {"domain": "Organization", "range": "Logo"}}, {"acquired_trademark_from": {"domain": "Organization", "range": "Organization"}}, {"is_known_for": {"domain": "Organization", "range": "Characteristic"}}, {"launched_campaign": {"domain": "Organization", "range": "BusinessConcept"}}]
Text: article: University_of_North_Carolina_at_Chapel_Hill, Mascot and nickname: The university's teams are nicknamed the "Tar Heels", in reference to the state's eighteenth-century prominence as atarandpitchproducer.The nickname's cultural relevance, however, has a complex history that includes anecdotal tales from both theAmerican Civil Warand theAmerican Revolution.The mascot is a liveDorset ramnamedRameses, a tradition that dates back to 1924, when the team manager brought a ram to the annual game againstVirginia Military Institute, inspired by the play of former football player Jack "The Battering Ram" Merrit. The kicker rubbed his head for good luck before a game-winning field goal, and the ram stayed.There is also ananthropomorphicram mascot who appears at games.The modern Rameses is depicted in a sailor's hat, a reference to aUnited States Navyflight training program that was attached to the university during World War II.

[["University_of_North_Carolina_at_Chapel_Hill", "has_mascot", "Rameses_(mascot)"], ["University_of_North_Carolina_at_Chapel_Hill", "has_mascot", "Anthropomorphic_ram"], ["University_of_North_Carolina_at_Chapel_Hill", "has_nickname", "\"Tar Heels\""], ["University_of_North_Carolina_at_Chapel_Hill", "has_mascot", "\"Dorset Ram\""], ["University_of_North_Carolina_at_Chapel_Hill", "has_nickname", "\"The University of North Carolina at Chapel Hill\""], ["University_of_North_Carolina_at_Chapel_Hill", "has_mascot", "\"Sailor's hat\""]]


The Carolina Way

company product service industry brand country location organization person founder position event action founding accusition merger partnership expansion restructuring divestment sale bankruptcy financial_metric business_concept revenue profit loss investment funding market_share competition market_trend regulation innovation sustainability corporate_social_responsibility award date/time year period

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is NER: Named Entity Recognition.

Here is an example of task execution:

{'Schema': ['Person', 'Organization', 'Location', 'Date', 'Product'], 'Text': 'The Eiffel Tower in Paris, designed by Gustave Eiffel, is one of the most famous landmarks in France.', 'Entities': [['Eiffel Tower', 'Location'], ['Paris', 'Location'], ['Gustave Eiffel', 'Person'], ['France', 'Location']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Entity", "Type"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: ["company", "product", "service", "industry", "brand", "country", "location", "organization", "person", "founder", "position", "event", "action", "founding", "accusition", "merger", "partnership", "expansion", "restructuring", "divestment", "sale", "bankruptcy", "financial_metric", "business_concept", "revenue", "profit", "loss", "investment", "funding", "market_share", "competition", "market_trend", "regulation", "innovation", "sustainability", "corporate_social_responsibility", "award", "date/time", "year", "period"]
Text: article: University_of_North_Carolina_at_Chapel_Hill, The Carolina Way: Basketball coachDean Smithwas widely known for his idea of "The Carolina Way", in which he challenged his players to, "Play hard, play smart, play together.""The Carolina Way" was an idea of excellence in the classroom, as well as on the court. In Coach Smith's book,The Carolina Way, former player Scott Williams said, regarding Dean Smith, "Winning was very important at Carolina, and there was much pressure to win, but Coach cared more about our getting a sound education and turning into good citizens than he did about winning." The October 22, 2014, release of the Wainstein Reportalleged institutionalized academic fraud that involved over 3,100 students and student athletes, over an 18-year period from 1993 to 2011 that began during the final years of the Dean Smith era, challenged "The Carolina Way" image.The report alleged that at least 54 players during the Dean Smith era were enrolled in what came to be known as "paper classes". The report noted that the questionable classes began in the spring of 1993, the year of Smith's final championship, so those grades would not have been entered until after the championship game was played.In response to the allegations of the Wainstein report, theNCAAlaunched their own investigation and on June 5, 2015the NCAA accused the institution of five major violations including: "two instances of unethical conduct and failure to cooperate" as well as "unethical conduct and extra benefits related to student-athletes' access to and assistance in the paper courses; unethical conduct by the instructor/counselor for providing impermissible academic assistance to student-athletes; and a failure to monitor and lack of institutional control".In October 2017, the NCAA issued its findings and concluded "that the only violations in this case are the department chair's and the secretary's failure to cooperate".

[["University_of_North_Carolina_at_Chapel_Hill", "company"], ["Dean_Smith", "Person"], ["The_Carolina_Way_(book)", "WrittenWork"], ["Scott_Williams_(basketball)", "Person"], ["The_Carolina_Way", "business_concept"], ["Wainstein_Report", "WrittenWork"], ["2014-10-22", "date"], ["54", "number"], ["NCAA", "organization"], ["2015-06-05", "date"], ["\"Two instances of unethical conduct and failure to cooperate, as well as unethical conduct and extra benefits related to student-athletes' access to and assistance in the paper courses; unethical conduct by the instructor/counselor for providing impermissible academic assistance to student-athletes; and a failure to monitor and lack of institutional control\"", "string"], ["\"The Carolina Way\" is an idea of excellence in the classroom as well as on the court.", "string"], ["2017-10-31", "date"], ["\"The only violations in this case are the department chair's and the secretary's failure to cooperate\"", "string"], ["The_Wainstein_Report:_Institutionalized_Academic_Fraud_at_the_University_of_North_Carolina_at_Chapel_Hill", "WrittenWork"], ["\"Play hard, play smart, play together\"", "string"], ["1993", "Year"], ["2011", "Year"], ["3100", "number"]]


The Carolina Way

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is RE: Relation Extraction.

Here is an example of task execution:

{'Schema': [{'designed': {'domain': 'Person', 'range': 'Structure'}}, {'located_in': {'domain': 'Structure', 'range': 'Location'}}, {'part_of': {'domain': 'City', 'range': 'Country'}}, {'friends_with': {'domain': 'Person', 'range': 'Person'}}, {'lives_at': {'domain': 'Person', 'range': 'Location'}}, {'visits': {'domain': 'Person', 'range': 'Location'}}, {'accompanied_by': {'domain': 'Person', 'range': 'Person'}}, {'shares': {'domain': 'Person', 'range': 'Product'}}], 'Text': 'Gustave Eiffel designed the Eiffel Tower, which is located in Paris, France.', 'Relations': [['Gustave Eiffel', 'designed', 'Eiffel Tower'], ['Eiffel Tower', 'located_in', 'Paris'], ['Paris', 'part_of', 'France']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Subject", "Relation", "Object"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: [{"part_of": {"domain": "Organization", "range": "Organization"}}, {"parent_company_of": {"domain": "Organization", "range": "Organization"}}, {"subsidiary_of": {"domain": "Organization", "range": "Organization"}}, {"acquired": {"domain": "Organization", "range": "Organization"}}, {"divested": {"domain": "Organization", "range": "Organization"}}, {"owns_brand": {"domain": "Organization", "range": "Product/Brand"}}, {"holds_stake_in": {"domain": "Organization", "range": "Organization"}}, {"spun_off": {"domain": "Organization", "range": "Organization"}}, {"formed_from": {"domain": "Organization", "range": "Organization"}}, {"founded_by": {"domain": "Organization", "range": "Person"}}, {"has_CEO": {"domain": "Organization", "range": "Person"}}, {"manufactures": {"domain": "Organization", "range": "ProductType"}}, {"develops": {"domain": "Organization", "range": "ProductType"}}, {"produces": {"domain": "Organization", "range": "ProductType"}}, {"sells": {"domain": "Organization", "range": "ProductType"}}, {"has_product_line": {"domain": "Organization", "range": "Product/Brand"}}, {"is_a_type_of": {"domain": "Product/Brand", "range": "ProductType"}}, {"is_brand_of": {"domain": "Product/Brand", "range": "Organization"}}, {"features_technology": {"domain": "Product/Brand", "range": "Technology"}}, {"uses_material": {"domain": "Product/Brand", "range": "Material"}}, {"launched_product": {"domain": "Organization", "range": "Product/Brand"}}, {"had_revenue_of": {"domain": "Organization", "range": "Amount"}}, {"had_profit_of": {"domain": "Organization", "range": "Amount"}}, {"in_year": {"domain": "FinancialMetric", "range": "Year"}}, {"market_value_of": {"domain": "Organization", "range": "Amount"}}, {"is_publicly_traded": {"domain": "Organization", "range": "Boolean"}}, {"listed_on_exchange": {"domain": "Organization", "range": "StockExchange"}}, {"experienced_growth": {"domain": "Organization", "range": "FinancialMetric"}}, {"occurred_in_year": {"domain": "Event/Action", "range": "Year"}}, {"occurred_on_date": {"domain": "Event/Action", "range": "SpecificDate"}}, {"resulted_in": {"domain": "Event/Action", "range": "Outcome"}}, {"preceded": {"domain": "Event/Action", "range": "Event/Action"}}, {"followed_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"marked_milestone": {"domain": "Event/Action", "range": "Organization"}}, {"influenced_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"led_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"was_a_response_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"has_trademark": {"domain": "Organization", "range": "Trademark"}}, {"uses_logo": {"domain": "Organization", "range": "Logo"}}, {"acquired_trademark_from": {"domain": "Organization", "range": "Organization"}}, {"is_known_for": {"domain": "Organization", "range": "Characteristic"}}, {"launched_campaign": {"domain": "Organization", "range": "BusinessConcept"}}]
Text: article: University_of_North_Carolina_at_Chapel_Hill, The Carolina Way: Basketball coachDean Smithwas widely known for his idea of "The Carolina Way", in which he challenged his players to, "Play hard, play smart, play together.""The Carolina Way" was an idea of excellence in the classroom, as well as on the court. In Coach Smith's book,The Carolina Way, former player Scott Williams said, regarding Dean Smith, "Winning was very important at Carolina, and there was much pressure to win, but Coach cared more about our getting a sound education and turning into good citizens than he did about winning." The October 22, 2014, release of the Wainstein Reportalleged institutionalized academic fraud that involved over 3,100 students and student athletes, over an 18-year period from 1993 to 2011 that began during the final years of the Dean Smith era, challenged "The Carolina Way" image.The report alleged that at least 54 players during the Dean Smith era were enrolled in what came to be known as "paper classes". The report noted that the questionable classes began in the spring of 1993, the year of Smith's final championship, so those grades would not have been entered until after the championship game was played.In response to the allegations of the Wainstein report, theNCAAlaunched their own investigation and on June 5, 2015the NCAA accused the institution of five major violations including: "two instances of unethical conduct and failure to cooperate" as well as "unethical conduct and extra benefits related to student-athletes' access to and assistance in the paper courses; unethical conduct by the instructor/counselor for providing impermissible academic assistance to student-athletes; and a failure to monitor and lack of institutional control".In October 2017, the NCAA issued its findings and concluded "that the only violations in this case are the department chair's and the secretary's failure to cooperate".

[["University_of_North_Carolina_at_Chapel_Hill", "has_product", "The_Carolina_Way_(basketball)"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Dean_Smith"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "The_Carolina_Way_(basketball)"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Wainstein_Report"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Scott_Williams_(American_football)"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "The_Carolina_Way_(basketball)"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Dean_Smith"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Wainstein_Report"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "The_Carolina_Way_(basketball)"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Dean_Smith"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Wainstein_Report"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "The_Carolina_Way_(basketball)"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Dean_Smith"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Wainstein_Report"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "The_Carolina_Way_(basketball)"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Dean_Smith"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Wainstein_Report"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "The_Carolina_Way_(basketball)"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Dean_Smith"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Wainstein_Report"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "The_Carolina_Way_(basketball)"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Dean_Smith"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Wainstein_Report"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "The_Carolina_Way_(basketball)"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Dean_Smith"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Wainstein_Report"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "The_Carolina_Way_(basketball)"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Dean_Smith"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Wainstein_Report"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "The_Carolina_Way_(basketball)"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Dean_Smith"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Wainstein_Report"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "The_Carolina_Way_(basketball)"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Dean_Smith"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Wainstein_Report"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "The_Carolina_Way_(basketball)"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Dean_Smith"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Wainstein_Report"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "The_Carolina_Way_(basketball)"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Dean_Smith"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Wainstein_Report"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "The_Carolina_Way_(basketball)"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Dean_Smith"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Wainstein_Report"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "The_Carolina_Way_(basketball)"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Dean_Smith"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Wainstein_Report"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "The_Carolina_Way_(basketball)"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Dean_Smith"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Wainstein_Report"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "The_Carolina_Way_(basketball)"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Dean_Smith"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Wainstein_Report"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "The_Carolina_Way_(basketball)"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Dean_Smith"], ["University_of_North_Carolina_at_Chapel_Hill", "has_product", "Wainstein_Report"], ["University_of_North_Carolina_at_Chapel_Hill", 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