Adidas

Tapie affair

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: Adidas, Tapie affair: After a period of trouble following the death of Adolf Dassler's sonHorst Dasslerin 1987, the company was bought in 1990 by French industrialistBernard Tapie, for₣1.6billion(now €243.9 million), which Tapie borrowed.Tapie was at the time a famous specialist of rescuing bankrupt companies, an expertise on which he built his fortune. Tapie decided to move productionoffshoreto Asia. He also hiredMadonnafor promotion.He sent, fromChristchurch, New Zealand, a shoe sales representative to Germany and met Adolf Dassler's descendants, Amelia Randall Dassler and Bella Beck Dassler, and was sent back with a few items to promote the company there. In 1992, unable to pay the loan interest, Tapie mandated theCrédit Lyonnaisbank to sell Adidas.The bank converted the outstanding debt owed intoequityin Adidas, which was unusual per the prevalent French banking practice. Thestate-ownedbank had tried to get Tapie out of dire financial straits as a personal favour to Tapie, it is reported, because Tapie wasMinisterof Urban Affairs (ministre de la Ville) in the French government at the time. Robert Louis-Dreyfus, a friend of Tapie, became the new CEO of the company in 1994. He was also the president ofOlympique de Marseille, a team Tapie had owned until 1993.In 1994, Tapie filed for personal bankruptcy.He was the object of several lawsuits, notably related tomatch fixingat the football club. In 1997, he served 6 months of an 18-month prison sentence inLa Santéprison in Paris. In February 2000, Crédit Lyonnais sold Adidas to Louis-Dreyfus for a much higher amount of money than Tapie owed, 4.485 billion (€683.514 million) francs rather than 2.85 billion (€434.479 million).

[
    "Q3895 - Adidas AG: German multinational corporation",
    "Q12358242 - Adidas: trade mark of Adidas AG",
    "Q2824396 - Adidas Power Soccer: 1996 video game",
    "Q4682709 - Adidas Championship Football: 1990 video game",
    "Q113884442 - Adidas Power Soccer International '97: 1997 video game"
]

[
    "Q728645 - Bernard Tapie: French businessman and politician (1943–2021)",
    "Q123522581 - Bernard Tapie, French Tycoon, Actor and Politician, Dies at 78: The New York Times article (October 11, 2021)",
    "Q118762059 - Bernard Tapie Finance: None"
]

[
    "Q108313655 - Adolf Daßler: Bavarian government official",
    "Q76751 - Adolf Dassler: German entrepreneur, founder of Adidas shoe company (1900–1978)",
    "Q15781492 - Statue of Adolf Dassler: Bronze sculpture in Germany"
]

[
    "Q73470 - Horst Dassler: German businessman (1936-1987)"
]

[
    "Q779722 - Crédit Lyonnais: French banking company",
    "Q27085988 - 39–40 Lombard Street: City of London, Greater London, EC3V",
    "Q3485799 - Crédit Lyonnais headquarters: building complex in Paris, France",
    "Q2931701 - CLSA: Capital markets and investment group",
    "Q2603784 - Credit Lyonnais Building: building in New York City"
]

[
    "Q123101 - Robert Louis-Dreyfus: French/Swiss billionaire (1946–2009)",
    "Q3540453 - Robert Louis-Dreyfus Trophy: football tournament",
    "Q123708562 - Robert Louis-Dreyfus, Turnaround Specialist, Dies at 63: The New York Times article (July 14, 2009)"
]

[
    "Q132885 - Olympique de Marseille: association football club in Marseille, France",
    "Q63237134 - Olympique de Marseille: Commodore Amiga Soft. ; 1993 Ocean Soft., Ltd.",
    "Q2378143 - Les Marseillaises: French women's association football team",
    "Q3351703 - Olympique de Marseille: None",
    "Q3351702 - Olympique de Marseille: French basketball club"
]

[
    "Q63967293 - La santé: sculpture on the Laval University campus",
    "Q27713362 - La Sante publique: journal",
    "Q290432 - La Santé Prison: prison in France",
    "Q27722704 - La Sante de l'homme: journal",
    "Q74880233 - La sante: print in the National Gallery of Art (NGA 70771)"
]

[
    "Q1744 - Madonna: American singer, songwriter, and actress (born 1958)",
    "Q345 - Mary: mother of Jesus Christ",
    "Q2655122 - Madonna: female given name",
    "Q37436150 - Madonna: family name",
    "Q9309699 - Madonna and Child: artistic depiction of Mary with her child Jesus"
]

[
    "Q142 - France: country in Western Europe and other continents (through its overseas territories in America, Africa and Oceania)",
    "Q3080569 - France: unisex given name",
    "Q16275867 - France: family name",
    "Q47774 - France men's national association football team: national association football team representing France",
    "Q2268455 - Francesco: male given name"
]

[
    "Q69303171 - February 28, 2000: date in Gregorian calendar"
]

[
    "Q3895 - Adidas AG: German multinational corporation",
    "Q12358242 - Adidas: trade mark of Adidas AG",
    "Q2824396 - Adidas Power Soccer: 1996 video game",
    "Q4682709 - Adidas Championship Football: 1990 video game",
    "Q113884442 - Adidas Power Soccer International '97: 1997 video game"
]

[
    "Q664 - New Zealand: island country in the southwest Pacific Ocean",
    "Q23893915 - New Zealand Organisms Register: catalogue of scientific names of New Zealand biota",
    "Q1048192 - New Zealand Labour Party: centre-left political party in New Zealand",
    "Q111645234 - NZThesisProject: community of editors and project aiming to upload the citation data of New Zealand doctoral and masters theses to Wikidata",
    "Q5148518 - Colony of New Zealand: constitutional monarchy in Oceania (1844–1907)"
]

[
    "Q104777744 - urban affairs: None",
    "Q7899842 - Urban Affairs Review: journal",
    "Q27717513 - Urban affairs quarterly: journal",
    "Q20749093 - Urban Affairs Association: international professional organization for urban scholars, researchers, and public service professionals",
    "Q54852010 - Urban Affairs Coalition: American nonprofit organization"
]

[
    "Q183 - Germany: country in Central Europe",
    "Q1206012 - German Reich: official name for the German nation state from 1871 to 1945, and name of Germany until 1949",
    "Q41304 - Weimar Republic: Germany in the years 1918/1919–1933",
    "Q37444958 - Germany: family name",
    "Q133933103 - Germany: male given name"
]

[
    "Q747376 - match fixing: collusion to secretly predetermine the outcome of a sports match",
    "Q131428405 - Match Fixing: upcoming film directed by Kedar Gaekwad",
    "Q23808565 - match fixing related to gambling: None",
    "Q16844746 - match fixing in association football: form of cheating in a particular sport",
    "Q112359806 - Match-fixing: Women’s Experiences Studying and Working in Sport Management in Aotearoa New Zealand: 2020 doctoral thesis by Sally Rae at Auckland University of Technology"
]

[
    "Q2893 - September 18: day of the year",
    "Q59725568 - 18.05.2009: 2018 Indian Tamil language drama war film directed by K Ganeshan",
    "Q106230342 - 18.00R22.5: tire size",
    "Q119356059 - 18.06.69: painting by John Hoyland (1934–2011), The Hunterian, University of Glasgow",
    "Q2670 - June 18: day of the year"
]

[
    "Q4523368 - 6.0 system: figure skating old judging system",
    "Q122300539 - 6.0: 2019 video game",
    "Q4641579 - 6.0: Sister Machine Gun album",
    "Q69189081 - Avogadro number: dimensionless number corresponding to Avogadro's constant (which has units of inverse mole)",
    "Q59569644 - 6.00 P.M.: painting by Jesús Carlos de Vilallonga"
]

[
    "Q90 - Paris: capital city and largest city of France",
    "Q483020 - Paris Saint-Germain FC: association football club in Paris, France",
    "Q830149 - Paris: city in and county seat of Lamar County, Texas, United States",
    "Q18331346 - Paris: family name",
    "Q162121 - Paris: genus of plants"
]

[
    "Q69301977 - December 31, 1997: date in Gregorian calendar"
]

[
    "Q142 - France: country in Western Europe and other continents (through its overseas territories in America, Africa and Oceania)",
    "Q3080569 - France: unisex given name",
    "Q16275867 - France: family name",
    "Q47774 - France men's national association football team: national association football team representing France",
    "Q2268455 - Francesco: male given name"
]

[
    "Q69300219 - June 30, 1994: date in Gregorian calendar"
]

[
    "Q115259187 - Offshore: 2022 song by SCH",
    "Q131541717 - Offshore: 2010 song by Lacrim",
    "Q124098936 - Offshore: None",
    "Q2562824 - offshore: hydrocarbons",
    "Q2518331 - offshore company: company or corporate enity established in an offshore jurisdiction"
]

[
    "Q177837 - Japanese Wikipedia: Japanese-language edition of Wikipedia",
    "Q48 - Asia: biggest continent in the world",
    "Q726891 - Asia: British rock band",
    "Q3625042 - Asia: female given name",
    "Q37020313 - Asia: family name"
]

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates


Adidas

Tapie affair

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: Adidas, Tapie affair: After a period of trouble following the death of Adolf Dassler's sonHorst Dasslerin 1987, the company was bought in 1990 by French industrialistBernard Tapie, for₣1.6billion(now €243.9 million), which Tapie borrowed.Tapie was at the time a famous specialist of rescuing bankrupt companies, an expertise on which he built his fortune. Tapie decided to move productionoffshoreto Asia. He also hiredMadonnafor promotion.He sent, fromChristchurch, New Zealand, a shoe sales representative to Germany and met Adolf Dassler's descendants, Amelia Randall Dassler and Bella Beck Dassler, and was sent back with a few items to promote the company there. In 1992, unable to pay the loan interest, Tapie mandated theCrédit Lyonnaisbank to sell Adidas.The bank converted the outstanding debt owed intoequityin Adidas, which was unusual per the prevalent French banking practice. Thestate-ownedbank had tried to get Tapie out of dire financial straits as a personal favour to Tapie, it is reported, because Tapie wasMinisterof Urban Affairs (ministre de la Ville) in the French government at the time. Robert Louis-Dreyfus, a friend of Tapie, became the new CEO of the company in 1994. He was also the president ofOlympique de Marseille, a team Tapie had owned until 1993.In 1994, Tapie filed for personal bankruptcy.He was the object of several lawsuits, notably related tomatch fixingat the football club. In 1997, he served 6 months of an 18-month prison sentence inLa Santéprison in Paris. In February 2000, Crédit Lyonnais sold Adidas to Louis-Dreyfus for a much higher amount of money than Tapie owed, 4.485 billion (€683.514 million) francs rather than 2.85 billion (€434.479 million).

Adidas

Q3895 - Adidas AG: German multinational corporation

Q12358242 - Adidas: trade mark of Adidas AG

Q2824396 - Adidas Power Soccer: 1996 video game

Q4682709 - Adidas Championship Football: 1990 video game

Q113884442 - Adidas Power Soccer International '97: 1997 video game

P7888 - merged into: the subject was dissolved and merged into the object, that existed previously

P11812 - afterward owned by: person or institution that owned the subject after stated event. Meant to be used as qualifier of “significant event (P793)” for events like sales, auctions, gifts, etc

P11811 - beforehand owned by: person or institution that owned the subject just before stated event. Meant to be used as qualifier of "significant event (P793)" for events like sales, auctions, gifts, etc

Q728645 - Bernard Tapie: French businessman and politician (1943–2021)

Q123522581 - Bernard Tapie, French Tycoon, Actor and Politician, Dies at 78: The New York Times article (October 11, 2021)

Q118762059 - Bernard Tapie Finance: None

Bernard_Tapie

Adidas

P169 - chief executive officer: highest-ranking corporate officer appointed as the CEO within an organization

Q123101 - Robert Louis-Dreyfus: French/Swiss billionaire (1946–2009)

Q3540453 - Robert Louis-Dreyfus Trophy: football tournament

Q123708562 - Robert Louis-Dreyfus, Turnaround Specialist, Dies at 63: The New York Times article (July 14, 2009)

Adidas

Adidas

Q779722 - Crédit Lyonnais: French banking company

Q27085988 - 39–40 Lombard Street: City of London, Greater London, EC3V

Q3485799 - Crédit Lyonnais headquarters: building complex in Paris, France

Q2931701 - CLSA: Capital markets and investment group

Q2603784 - Credit Lyonnais Building: building in New York City

Adidas

Q132885 - Olympique de Marseille: association football club in Marseille, France

Q63237134 - Olympique de Marseille: Commodore Amiga Soft. ; 1993 Ocean Soft., Ltd.

Q2378143 - Les Marseillaises: French women's association football team

Q3351702 - Olympique de Marseille: French basketball club

Adidas

Q1744 - Madonna: American singer, songwriter, and actress (born 1958)

Q9309699 - Madonna and Child: artistic depiction of Mary with her child Jesus

Adidas

Adidas

Adidas

Q79990 - Christchurch: largest city in the South Island of New Zealand

Q17658257 - Christchurch, New Zealand floods causes havoc: Wikinews article

Adidas

Q17143786 - Minister of Urban Affairs: provincial cabinet position in Manitoba

Q111945580 - Minister of Urban Affairs and Environment of Angola: member of the government of the Republic of Angola

Q111945583 - Minister of Urban Affairs and Housing of Angola: member of the government of the Republic of Angola

Q111945579 - Minister of Urban Affairs and Construction of Angola: member of the government of the Republic of Angola

Adidas

Q63967293 - La santé: sculpture on the Laval University campus

Q290432 - La Santé Prison: prison in France

Q27722704 - La Sante de l'homme: journal

Q74880233 - La sante: print in the National Gallery of Art (NGA 70771)

Adidas

Q15817711 - French Politics: academic journal

Q5501871 - French Politics, Culture & Society: journal

Q58545880 - French Politics, 1774–1789: From the Accession of Louis XVI to the Fall of the Bastille: article

Adidas

Adidas

Adidas

Adidas

Q142 - France: country in Western Europe and other continents (through its overseas territories in America, Africa and Oceania)

Q47774 - France men's national association football team: national association football team representing France

Adidas

Q108313655 - Adolf Daßler: Bavarian government official

Q76751 - Adolf Dassler: German entrepreneur, founder of Adidas shoe company (1900–1978)

Q15781492 - Statue of Adolf Dassler: Bronze sculpture in Germany

Adidas

Adidas

Adidas

Q73470 - Horst Dassler: German businessman (1936-1987)

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates


Adidas

Post-Tapie era

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: Adidas, Post-Tapie era: In 1994, combined withFIFAYouth Group,SOS Children's Villagesbecame the main beneficiary. In 1997, Adidas AG acquired theSalomon Groupwho specialized in ski wear, and its official corporate name was changed to Adidas-Salomon AG. With this acquisition Adidas also acquired theTaylorMadegolf company andMaxfli, which allowed them to compete withNikeGolf. In 1998, Adidas sued theNCAAover their rules limiting the size and number of commercial logos on team uniforms and team clothing. Adidas withdrew the suit, and the two groups established guidelines as to what three-stripe designs would be considered uses of the Adidas trademark. As CEO of Adidas, Louis-Dreyfus quadrupled revenue to €5.84 billion ($7.5 billion) from 1993 through 2000.In 2000, he announced he would resign the following year, due to illness. In 2003, Adidas filed a lawsuit in a British court challenging Fitness World Trading's use of a two-stripe motif similar to Adidas'sthree stripes. The court ruled that despite the simplicity of the mark,Fitness World's use was infringing because the public could establish a link between that use and Adidas's mark. In September 2004, English fashion designerStella McCartneylaunched a joint-venture line with Adidas, establishing a long-term partnership with the corporation. This line is a sports performance collection for women called "Adidas by Stella McCartney". On 3 May 2005, Adidas informed the public that they had sold their partner companySalomon Groupfor €485 million toAmer Sportsof Finland. In August 2005, Adidas declared its intention to buyReebokfor $3.8 billion (US$). This takeover was completed with partnership in January 2006and meant that the company had business sales closer to those ofNikein North America. The acquisition of Reebok also allowed Adidas to compete with Nike worldwide as the number two athletic shoemaker in the world. In 2005, Adidas introduced theAdidas 1, the first ever production shoe to use amicroprocessor. Dubbed by the company "The World's First Intelligent Shoe", it features a microprocessor capable of performing 5 million calculations per second that automatically adjusts the shoe's level of cushioning to suit its environment. The shoe requires a small, user-replaceable battery that lasts for approximately 100 hours of running. On 25 November 2005, Adidas released a new version of the Adidas 1 with an increased range of cushioning, allowing the shoe to become softer or firmer, and a new motor with 153 percent more torque. In April 2006, Adidas announced an 11-year deal to become the officialNBAclothing provider. The company has been makingNBA,NBDL, andWNBAjerseys and products as well as team-coloured versions of the "Superstar" basketball shoe. This deal (worth over $400 million) took over the previous Reebok deal that had been put in place in 2001 for 10 years. In November 2011, Adidas announced that it would acquire outdoor action sport performance brandFive Tenthrough a share purchase agreement. The total purchase price was US$25 million in cash at closing.

[
    "Q3895 - Adidas AG: German multinational corporation",
    "Q12358242 - Adidas: trade mark of Adidas AG",
    "Q2824396 - Adidas Power Soccer: 1996 video game",
    "Q4682709 - Adidas Championship Football: 1990 video game",
    "Q113884442 - Adidas Power Soccer International '97: 1997 video game"
]

[
    "Q21449038 - Louis-Dreyfus: family name",
    "Q16661304 - Louis Dreyfus: French editor",
    "Q1871395 - Louis-Dreyfus: Wikimedia disambiguation page",
    "Q64755654 - Louis G. Dreyfus: American diplomat",
    "Q136206615 - Louis Dreyfus: None"
]

[
    "Q3895 - Adidas AG: German multinational corporation",
    "Q12358242 - Adidas: trade mark of Adidas AG",
    "Q2824396 - Adidas Power Soccer: 1996 video game",
    "Q4682709 - Adidas Championship Football: 1990 video game",
    "Q113884442 - Adidas Power Soccer International '97: 1997 video game"
]

[
    "Q4682708 - Adidas 1: running shoe"
]

[
    "Q3746269 - Five Ten Footwear: German outdoor footwear manufacturer",
    "Q130049721 - Five tensions in climate adaptation research: scholarly article published on 15 January 2024",
    "Q82182636 - Five ten year possibilities: scientific article published on October 29, 2010"
]

[
    "Q466183 - Reebok: American sports equipment company",
    "Q96802654 - Reebok: seaside village in South Africa",
    "Q739786 - Reebok Human Rights Award: American award by Reebok",
    "Q122069 - roe deer: species of mammal",
    "Q242772 - Toughsheet Community Stadium: football stadium in England"
]

[
    "Q155223 - National Basketball Association: North American professional basketball league",
    "Q572316 - National Book Award: United States literary award in five categories",
    "Q60768275 - NBA: 2005 basketball video game released by Sony",
    "Q842793 - NBA G League: American men's basketball minor league",
    "Q36490532 - YoungBoy Never Broke Again: American rapper (born 1999)"
]

[
    "Q462794 - SOS Children's Villages: global federation focused on supporting children without parental care and families at risk",
    "Q7392105 - SOS Children's Villages UK: organization",
    "Q7392107 - SOS Children's Villages – USA: organization",
    "Q31283996 - SOS Children's Villages Greece: None",
    "Q136179961 - Sos Children's Villages Uganda: non-governmental organization in Uganda"
]

[
    "Q125544036 - Taylor Made Freestyle: 2024 diss track by Drake",
    "Q125577900 - Taylor Made: 1982 studio album by Linda Taylor",
    "Q11319114 - Taylor Made Farm: horse farm in Kentucky, United States",
    "Q7690047 - Taylor Made Jazz: album by Billy Taylor",
    "Q116159765 - Taylor Made Elite: American professional running group"
]

[
    "Q6795483 - Maxfli: brand of sports equipment"
]

[
    "Q1860 - English: West Germanic language",
    "Q328 - English Wikipedia: English-language edition of Wikipedia",
    "Q27968 - English studies: discipline that studies the English language and literature",
    "Q186579 - English literature: literary works written in the English language",
    "Q16308156 - scholar of English: person who studies English language and literature"
]

[
    "Q232812 - Stella McCartney: British fashion designer (born 1971)",
    "Q28940614 - Stella McCartney: retailer of the designer's luxe women's fashions & accessories"
]

[
    "Q152695 - Amer Sports: company based in Finland",
    "Q30713059 - Amer Sports (Austria): None",
    "Q30713093 - Amer Sports (France): None",
    "Q30713082 - Amer Sports (United States): None",
    "Q22271853 - Amer Sports One: Volvo 60 Class Yacht"
]

[
    "Q271805 - National Collegiate Athletic Association: American collegiate athletic organization",
    "Q94861615 - NCAA Division I men's basketball: college sports league in the United States",
    "Q100895357 - NCAA Statistics: website for American collegiate sports data",
    "Q99913976 - NCAA March Madness 2004: 2003 video game",
    "Q3546411 - National Collegiate Athletic Association: association of 10 Philippine colleges and universities"
]

[
    "Q20997311 - McCartney: family name",
    "Q113128291 - McCartney: given name",
    "Q836684 - McCartney: 1970 debut solo studio album by Paul McCartney",
    "Q228899 - Linda McCartney: American photographer, musician and animal rights activist (1941–1998)",
    "Q152775 - 4148 McCartney: asteroid"
]

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates


Adidas

Post-Tapie era

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: Adidas, Post-Tapie era: In 1994, combined withFIFAYouth Group,SOS Children's Villagesbecame the main beneficiary. In 1997, Adidas AG acquired theSalomon Groupwho specialized in ski wear, and its official corporate name was changed to Adidas-Salomon AG. With this acquisition Adidas also acquired theTaylorMadegolf company andMaxfli, which allowed them to compete withNikeGolf. In 1998, Adidas sued theNCAAover their rules limiting the size and number of commercial logos on team uniforms and team clothing. Adidas withdrew the suit, and the two groups established guidelines as to what three-stripe designs would be considered uses of the Adidas trademark. As CEO of Adidas, Louis-Dreyfus quadrupled revenue to €5.84 billion ($7.5 billion) from 1993 through 2000.In 2000, he announced he would resign the following year, due to illness. In 2003, Adidas filed a lawsuit in a British court challenging Fitness World Trading's use of a two-stripe motif similar to Adidas'sthree stripes. The court ruled that despite the simplicity of the mark,Fitness World's use was infringing because the public could establish a link between that use and Adidas's mark. In September 2004, English fashion designerStella McCartneylaunched a joint-venture line with Adidas, establishing a long-term partnership with the corporation. This line is a sports performance collection for women called "Adidas by Stella McCartney". On 3 May 2005, Adidas informed the public that they had sold their partner companySalomon Groupfor €485 million toAmer Sportsof Finland. In August 2005, Adidas declared its intention to buyReebokfor $3.8 billion (US$). This takeover was completed with partnership in January 2006and meant that the company had business sales closer to those ofNikein North America. The acquisition of Reebok also allowed Adidas to compete with Nike worldwide as the number two athletic shoemaker in the world. In 2005, Adidas introduced theAdidas 1, the first ever production shoe to use amicroprocessor. Dubbed by the company "The World's First Intelligent Shoe", it features a microprocessor capable of performing 5 million calculations per second that automatically adjusts the shoe's level of cushioning to suit its environment. The shoe requires a small, user-replaceable battery that lasts for approximately 100 hours of running. On 25 November 2005, Adidas released a new version of the Adidas 1 with an increased range of cushioning, allowing the shoe to become softer or firmer, and a new motor with 153 percent more torque. In April 2006, Adidas announced an 11-year deal to become the officialNBAclothing provider. The company has been makingNBA,NBDL, andWNBAjerseys and products as well as team-coloured versions of the "Superstar" basketball shoe. This deal (worth over $400 million) took over the previous Reebok deal that had been put in place in 2001 for 10 years. In November 2011, Adidas announced that it would acquire outdoor action sport performance brandFive Tenthrough a share purchase agreement. The total purchase price was US$25 million in cash at closing.

Adidas

Q16661304 - Louis Dreyfus: French editor

Q1871395 - Louis-Dreyfus: Wikimedia disambiguation page

Q64755654 - Louis G. Dreyfus: American diplomat

Adidas

Adidas

Adidas

Q3133456 - Herbert Herz: French resistance fighter (1924–2016)

Q123207851 - Herbert Herzberg: Holocaust victim

Adidas

Q3746269 - Five Ten Footwear: German outdoor footwear manufacturer

Q130049721 - Five tensions in climate adaptation research: scholarly article published on 15 January 2024

Q82182636 - Five ten year possibilities: scientific article published on October 29, 2010

Adidas

Q125544036 - Taylor Made Freestyle: 2024 diss track by Drake

Q125577900 - Taylor Made: 1982 studio album by Linda Taylor

Q11319114 - Taylor Made Farm: horse farm in Kentucky, United States

Q7690047 - Taylor Made Jazz: album by Billy Taylor

Q116159765 - Taylor Made Elite: American professional running group

Adidas

Q37085 - Solomon: king of Israel and son of David

Adidas

Q466183 - Reebok: American sports equipment company

Q96802654 - Reebok: seaside village in South Africa

Q739786 - Reebok Human Rights Award: American award by Reebok

Q242772 - Toughsheet Community Stadium: football stadium in England

Adidas

Q7346461 - Robert Kraft: American composer (born 1955)

Q104254 - Robert Kraft: German writer (1869–1916)

Q706686 - Robert Kraft: American businessman and philanthropist

Adidas

Adidas

Q1735157 - Kasper Rorsted: Danish economist

Adidas

Adidas

Q110175837 - Helmut Diekmann: None
Q131779291 - Helmut Diekmann: None

Adidas

Q462794 - SOS Children's Villages: global federation focused on supporting children without parental care and families at risk

Q7392105 - SOS Children's Villages UK: organization

Q7392107 - SOS Children's Villages – USA: organization

Q31283996 - SOS Children's Villages Greece: None

Q136179961 - Sos Children's Villages Uganda: non-governmental organization in Uganda

Adidas

Q70825 - Georg Heinrich Mettenius: German botanist (1823-1866)

Q124272 - Georg Heinrich von Berenhorst: German non-fiction writer (1733-1814)

Q1140806 - Georg Heinrich Crola: German artist (1804–1879)

Q845841 - Georg Heinrich Borowski: German zoologist (1746-1801)

Q105779 - Georg Heinrich Bacmeister: German politician (1807-1890)

Adidas

Adidas

Q5392736 - Ernest Angley: Christian evangelist

Adidas

Q155223 - National Basketball Association: North American professional basketball league

Q572316 - National Book Award: United States literary award in five categories

Q60768275 - NBA: 2005 basketball video game released by Sony

Q842793 - NBA G League: American men's basketball minor league

Q36490532 - YoungBoy Never Broke Again: American rapper (born 1999)

Adidas

P2139 - total revenue: income gained by an organization during a given time frame. Not to be confused with fiscal revenue

P2770 - source of income: source of income of an organization or person

Adidas

Adidas

Q38076 - McDonald's: American fast food restaurant chain

Q6800872 - Uytengsu Aquatics Center: aquatics facility with a 50-meter competition pool, 25-yard diving pool, dive tower, dry-land training area, scoreboard, and stadium seating for 2,500

Q81799 - fast food: food prepared and served quickly

Q558006 - Burnie International: tennis tournament in Australia

Q111187617 - McDonald's: restaurant in Thailand, near the Democracy Monument

Adidas

Adidas

Q2003 - Newfoundland and Labrador: province of Canada

Q1215884 - National Football League: professional American football league

Q2430783 - National Football League: annual Gaelic football competition between the senior county teams of Ireland plus London

Adidas

Q15970739 - André Picot: French novelist

Q62394309 - André Picot: French chemist and toxicologist

Q133450811 - André Picot de Moras d'Aligny: None

Adidas

Q152695 - Amer Sports: company based in Finland

Q30713082 - Amer Sports (United States): None

Q22271853 - Amer Sports One: Volvo 60 Class Yacht

Adidas

Q102338398 - Gerhard Wendt: Ph.D. Johannes Kepler Universität Linz 2004

Q11860431 - Gerhard Wendt: Finnish physicist (1934-2010)

Adidas

Adidas

Adidas

Q102275084 - Helmut Kleinmichel: Dr. rer. nat. Technische Universität Dresden 1967

Adidas

Q49213 - University of Texas at Austin: public university in Austin, Texas, USA

Q5671855 - Harry Ransom Center: archive, library, and museum at the University of Texas at Austin

Q7707830 - Texas Longhorns men's basketball: men's basketball team of the University of Texas

Q7896446 - University of Texas School of Law: graduate school of the University of Texas at Austin

Q2615493 - Texas Longhorns: intercollegiate sports teams of the University of Texas

Adidas

Q222595 - British Army: United Kingdom military land warfare branch of the British Armed Forces

Q8312796 - Category:British Army personnel: Wikimedia category

Q4969483 - British Army cricket team: UK cricket team

Q66736007 - British Army unit: military unit of the British Army

Q105016636 - British Army Infantry Division: Infantry division of British Army

Adidas

Q73470 - Horst Dassler: German businessman (1936-1987)

Adidas

Adidas

Q6767 - US Livorno 1915: Italian football club based in Livorno, Tuscany

Q30634699 - A.S. Livorno Calcio in European football: None

Adidas

Q2037 - AC ChievoVerona: Italian football club from Chievo, Verona

Q30634697 - A.C. ChievoVerona in European football: None

Adidas

Adidas

Adidas

Q8633 - Varese Calcio: Italian association football club

Adidas

Adidas

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates


Adidas

Recent years

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: Adidas, Recent years: By the end of 2012, Adidas was reporting their highest revenues ever and Chief Executive Herbert Hainer expressed optimism for the year ahead. Adidas now has global corporate headquarters inHerzogenaurach, Germany and many other business locations around the world such asLondon,Portland,Toronto,Tokyo,Australia,TaiwanandSpain. In January 2015, Adidas launched the footwear industry's first reservation mobile app. The Adidas Confirmed app allows consumers to get access to and reserve the brand's limited edition sneakers by using geo targeting technology. In March 2015, Adidas and McDonald's unveiled the 2015 McDonald's All-American uniforms. For the third year in a row, players will be wearing short-sleeved jerseys, made with the same lightweight and breathable material as the ones used in the NBA. In August 2015, Adidas acquired fitness technology firmRuntasticfor approximately $240 million. In May 2017, Adidas soldTaylorMadegolf company (includingAshworth) to KPS Capital Partners for $425 million. In February 2021, Adidas banned fur from their products, responding to pressure from animal welfare groups. In March 2022, Adidas sold Reebok to theAuthentic Brands Group,for ca. $2.5 billion. In August 2022, the company announced that CEO Kasper Rørsted would step down in 2023.Bjørn Gulden became CEO in January 2023.

[
    "Q3895 - Adidas AG: German multinational corporation",
    "Q12358242 - Adidas: trade mark of Adidas AG",
    "Q2824396 - Adidas Power Soccer: 1996 video game",
    "Q4682709 - Adidas Championship Football: 1990 video game",
    "Q113884442 - Adidas Power Soccer International '97: 1997 video game"
]

[
    "Q183 - Germany: country in Central Europe",
    "Q1206012 - German Reich: official name for the German nation state from 1871 to 1945, and name of Germany until 1949",
    "Q41304 - Weimar Republic: Germany in the years 1918/1919–1933",
    "Q37444958 - Germany: family name",
    "Q133933103 - Germany: male given name"
]

[
    "Q38076 - McDonald's: American fast food restaurant chain",
    "Q6800872 - Uytengsu Aquatics Center: aquatics facility with a 50-meter competition pool, 25-yard diving pool, dive tower, dry-land training area, scoreboard, and stadium seating for 2,500",
    "Q81799 - fast food: food prepared and served quickly",
    "Q558006 - Burnie International: tennis tournament in Australia",
    "Q111187617 - McDonald's: restaurant in Thailand, near the Democracy Monument"
]

[
    "Q19604440 - KPS Capital Partners: American Private Equity Firm"
]

[
    "Q466183 - Reebok: American sports equipment company",
    "Q96802654 - Reebok: seaside village in South Africa",
    "Q739786 - Reebok Human Rights Award: American award by Reebok",
    "Q122069 - roe deer: species of mammal",
    "Q242772 - Toughsheet Community Stadium: football stadium in England"
]

[
    "Q17004742 - Authentic Brands Group: brand development and licensing company"
]

[
    "Q7380124 - adidas Runtastic: Austrian mobile fitness company",
    "Q68596462 - Runtastic Steps: None",
    "Q85942172 - Runtastic PRO app: an excellent all-rounder for logging fitness: scientific article published on August 20, 2015"
]

[
    "Q3895 - Adidas AG: German multinational corporation",
    "Q12358242 - Adidas: trade mark of Adidas AG",
    "Q2824396 - Adidas Power Soccer: 1996 video game",
    "Q4682709 - Adidas Championship Football: 1990 video game",
    "Q113884442 - Adidas Power Soccer International '97: 1997 video game"
]

[
    "Q3075 - Fürth: town in Bavaria, Germany",
    "Q6760 - UTC+03:00: identifier for a time offset from UTC of +3",
    "Q197204 - fur: thick growth of hair that covers the skin of many different animals, particularly mammals",
    "Q16837990 - Fur: family name",
    "Q107272686 - Fur: None"
]

[
    "Q370191 - Bjørn Gulden: Norwegian association football player and businessperson and adidas CEO",
    "Q112188983 - Bjørn Gulden: Norwegian businessman"
]

[
    "Q1735157 - Kasper Rorsted: Danish economist"
]

[
    "Q2528836 - McDonald's All-American Game: all-star basketball game for high school graduates"
]

[
    "Q155223 - National Basketball Association: North American professional basketball league",
    "Q572316 - National Book Award: United States literary award in five categories",
    "Q60768275 - NBA: 2005 basketball video game released by Sony",
    "Q842793 - NBA G League: American men's basketball minor league",
    "Q36490532 - YoungBoy Never Broke Again: American rapper (born 1999)"
]

[
    "Q3895 - Adidas AG: German multinational corporation",
    "Q12358242 - Adidas: trade mark of Adidas AG",
    "Q2824396 - Adidas Power Soccer: 1996 video game",
    "Q4682709 - Adidas Championship Football: 1990 video game",
    "Q113884442 - Adidas Power Soccer International '97: 1997 video game"
]

[
    "Q49625 - 2022: year",
    "Q19241645 - 2022: natural number",
    "Q110999040 - Russian invasion of Ukraine: ongoing military conflict in Eastern Europe since 2022",
    "Q108920739 - 2022 UCI Europe Tour: eighteenth season of the UCI Europe Tour",
    "Q110263921 - 2022 UCI World Ranking: None"
]

[
    "Q183 - Germany: country in Central Europe",
    "Q1206012 - German Reich: official name for the German nation state from 1871 to 1945, and name of Germany until 1949",
    "Q41304 - Weimar Republic: Germany in the years 1918/1919–1933",
    "Q37444958 - Germany: family name",
    "Q133933103 - Germany: male given name"
]

[
    "Q2528836 - McDonald's All-American Game: all-star basketball game for high school graduates"
]

[
    "Q466183 - Reebok: American sports equipment company",
    "Q96802654 - Reebok: seaside village in South Africa",
    "Q739786 - Reebok Human Rights Award: American award by Reebok",
    "Q122069 - roe deer: species of mammal",
    "Q242772 - Toughsheet Community Stadium: football stadium in England"
]

[
    "Q3895 - Adidas AG: German multinational corporation",
    "Q12358242 - Adidas: trade mark of Adidas AG",
    "Q2824396 - Adidas Power Soccer: 1996 video game",
    "Q4682709 - Adidas Championship Football: 1990 video game",
    "Q113884442 - Adidas Power Soccer International '97: 1997 video game"
]

[
    "Q84 - London: capital and largest city of England and the United Kingdom",
    "Q1137581 - The London Gazette: journal of record of the British government",
    "Q935090 - London Records: UK multi-national record label",
    "Q23939248 - London: region of England containing City of London and Greater London",
    "Q20003780 - London: unisex given name"
]

[
    "Q30 - United States: country located primarily in North America",
    "Q637413 - United States Census Bureau: U.S. agency responsible for the census and related statistics",
    "Q11703 - United States Virgin Islands: unincorporated territory of the United States of America",
    "Q4917 - United States dollar: official currency of the United States",
    "Q214867 - National Gallery of Art: national art museum in Washington, D.C."
]

[
    "Q408 - Australia: country in Oceania",
    "Q3960 - Australian continent: continent in the Earth's Southern Hemisphere",
    "Q104269190 - Australia: unisex given name",
    "Q781542 - Australian Journal of Chemistry: journal",
    "Q167402 - Australian Plant Name Index: online database"
]

[
    "Q2528836 - McDonald's All-American Game: all-star basketball game for high school graduates"
]

[
    "Q1490 - Tokyo: capital and largest city of Japan",
    "Q7473516 - Tokyo: special wards in the eastern part of Tokyo Metropolis in Japan, that used to form a single city",
    "Q41187 - Sony: Japanese multinational conglomerate corporation",
    "Q7813796 - Tokyo: Masaharu Fukuyama song",
    "Q7842 - University of Tokyo: national university in Tokyo, Japan"
]

[
    "Q16 - Canada: country in North America",
    "Q14624136 - Canada: moth genus of Pteromalidae",
    "Q13265725 - Canada: family name",
    "Q54856571 - Canada: unisex given name",
    "Q2003 - Newfoundland and Labrador: province of Canada"
]

[
    "Q29 - Spain: country in southwestern Europe with territories in Africa",
    "Q16932431 - Spain: family name",
    "Q42267 - Spain men's national football team: men's national association football team representing Spain",
    "Q178038 - Second Spanish Republic: political regime established in Spain between April 14, 1931 and April 1, 1939",
    "Q170603 - New Spain: viceroyalty of the Spanish Empire (1535-1821)"
]

[
    "Q30 - United States: country located primarily in North America",
    "Q637413 - United States Census Bureau: U.S. agency responsible for the census and related statistics",
    "Q11703 - United States Virgin Islands: unincorporated territory of the United States of America",
    "Q4917 - United States dollar: official currency of the United States",
    "Q214867 - National Gallery of Art: national art museum in Washington, D.C."
]

[
    "Q6106 - Portland: city and county seat of Multnomah County, Oregon, United States",
    "Q88484856 - COVID-19 pandemic in Portland, Oregon: viral pandemic in Portland, Oregon, United States",
    "Q5589293 - Government of Portland, Oregon: City commission government system of Portland, Oregon",
    "Q19358523 - Portland, Oregon: Its History and Builders, volume 2: None",
    "Q7231854 - 2012 Portland, Oregon mayoral election: None"
]

[
    "Q183 - Germany: country in Central Europe",
    "Q1206012 - German Reich: official name for the German nation state from 1871 to 1945, and name of Germany until 1949",
    "Q41304 - Weimar Republic: Germany in the years 1918/1919–1933",
    "Q37444958 - Germany: family name",
    "Q133933103 - Germany: male given name"
]

[
    "Q22502 - Taiwan Island: island in East Asia; main land of the Republic of China (Taiwan)",
    "Q865 - Taiwan: country in East Asia",
    "Q18112781 - Taiwan: genus of insects",
    "Q137816 - Taiwan under Japanese rule: period of Taiwanese history (1895–1945)",
    "Q262828 - Standard Taiwanese Mandarin: variety of Modern Standard Chinese serving as the official language of the Republic of China (Taiwan)"
]

[
    "Q2528836 - McDonald's All-American Game: all-star basketball game for high school graduates"
]


Adidas

Recent years

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: Adidas, Recent years: By the end of 2012, Adidas was reporting their highest revenues ever and Chief Executive Herbert Hainer expressed optimism for the year ahead. Adidas now has global corporate headquarters inHerzogenaurach, Germany and many other business locations around the world such asLondon,Portland,Toronto,Tokyo,Australia,TaiwanandSpain. In January 2015, Adidas launched the footwear industry's first reservation mobile app. The Adidas Confirmed app allows consumers to get access to and reserve the brand's limited edition sneakers by using geo targeting technology. In March 2015, Adidas and McDonald's unveiled the 2015 McDonald's All-American uniforms. For the third year in a row, players will be wearing short-sleeved jerseys, made with the same lightweight and breathable material as the ones used in the NBA. In August 2015, Adidas acquired fitness technology firmRuntasticfor approximately $240 million. In May 2017, Adidas soldTaylorMadegolf company (includingAshworth) to KPS Capital Partners for $425 million. In February 2021, Adidas banned fur from their products, responding to pressure from animal welfare groups. In March 2022, Adidas sold Reebok to theAuthentic Brands Group,for ca. $2.5 billion. In August 2022, the company announced that CEO Kasper Rørsted would step down in 2023.Bjørn Gulden became CEO in January 2023.

Adidas

Adidas

Q2528836 - McDonald's All-American Game: all-star basketball game for high school graduates

Adidas

Adidas

Q466183 - Reebok: American sports equipment company

Q96802654 - Reebok: seaside village in South Africa

Q739786 - Reebok Human Rights Award: American award by Reebok

Q242772 - Toughsheet Community Stadium: football stadium in England

Adidas

Adidas

Adidas

Q22101752 - Adidas Yeezy: collaboration between Adidas and the designer Kanye West to produce sneaker and clothing lines

Q96791543 - Yeezy: American clothing company

Adidas

Adidas

Q123399131 - Adidas Campus: line of shoes by Adidas

Adidas

Adidas

Adidas

Adidas

Adidas

Adidas

Adidas

Adidas

Q123347144 - Adidas Gazelle: line of shoes by Adidas

Adidas

Adidas

Adidas

Adidas

Adidas

Adidas

Adidas

Adidas

Adidas

Adidas

Q48998228 - Adidas Parley: collection of clothing and footwear originated from the collaboration of German multinational company Adidas and "Parley for the Oceans", an organization that addresses environmental threats towards the oceans, through plastic pollution

Adidas

Q420789 - Adidas Predator: range of football boots

Adidas

Q7380124 - adidas Runtastic: Austrian mobile fitness company

Adidas

Q4682715 - Adidas Samba: line of soccer shoes released by Adidas

Adidas

Adidas

Adidas

Adidas

Adidas

Adidas

Adidas

Q38076 - McDonald's: American fast food restaurant chain

Q6800872 - Uytengsu Aquatics Center: aquatics facility with a 50-meter competition pool, 25-yard diving pool, dive tower, dry-land training area, scoreboard, and stadium seating for 2,500

Q81799 - fast food: food prepared and served quickly

Q558006 - Burnie International: tennis tournament in Australia

Q111187617 - McDonald's: restaurant in Thailand, near the Democracy Monument

Adidas

Q155223 - National Basketball Association: North American professional basketball league

Q572316 - National Book Award: United States literary award in five categories

Q60768275 - NBA: 2005 basketball video game released by Sony

Q842793 - NBA G League: American men's basketball minor league

Q36490532 - YoungBoy Never Broke Again: American rapper (born 1999)

Adidas

Q125544036 - Taylor Made Freestyle: 2024 diss track by Drake

Q125577900 - Taylor Made: 1982 studio album by Linda Taylor

Q11319114 - Taylor Made Farm: horse farm in Kentucky, United States

Q7690047 - Taylor Made Jazz: album by Billy Taylor

Q116159765 - Taylor Made Elite: American professional running group

Adidas

Q50730993 - Ashworthius sidemi: species of worm

Q36619871 - Matt P. Ashworth: U.S. botanist, and phycologist

Adidas

Q19317 - FIFA World Cup: international association football competition contested by the senior men's national teams

Q176883 - 2010 FIFA World Cup: 19th FIFA World Cup, held in South Africa

Q170645 - 2018 FIFA World Cup: 21st FIFA World Cup, held in Russia

Q864001 - FIFA World Cup: video game series

Q150933 - Volksparkstadion: football stadium in Hamburg, Germany

Adidas

Q2003 - Newfoundland and Labrador: province of Canada

Q1215884 - National Football League: professional American football league

Q2430783 - National Football League: annual Gaelic football competition between the senior county teams of Ireland plus London

Adidas

Q193041 - AFC Champions League Elite: Annual top tier competition for Asian football clubs

Q291808 - AFC Champions League Two: Annual second tier asian club football competition

Q291760 - 2010 AFC Champions League: international football competition

Q291741 - 2008 AFC Champions League: international football competition

Q291734 - 2007 AFC Champions League: international football competition

Adidas

Q18543 - Major League Soccer: professional soccer league in the USA and Canada

Q98446339 - MLSsoccer.com: official website of Major League Soccer

Q577698 - MLS Cup: championship match of Major League Soccer

Q194796 - MLS All-Star Game: annual exhibition game of Major League Soccer

Q15233253 - 2014 Major League Soccer season: 2014 season of Major League Soccer

Adidas

Q9448 - Premier League: English men's association football top league

Q206073 - Premier League: top division in Ukrainian football

Q326859 - Azerbaijan Premier League: association football league

Q126188048 - Premier League: 1993 video game

Q2083746 - Premijer liga: Croatian basketball league

Adidas

Q15804 - Serie A: professional league competition for football clubs located at the top of the Italian football league system

Adidas

Q324867 - La Liga: men's top professional football division of the Spanish football league system

Q1322654 - Liga Deportiva Alajuelense: Costa Rican sports club

Q35615 - LaLiga 2: men's second professional association football division of the Spanish football league system

Q16086950 - La Liga: comunidad in Caguas, Puerto Rico

Q106357420 - La Liga: New York City-based organization for empowering Black Cubans and Black Puerto Ricans

Adidas

Q1126104 - Liga ACB: first-tier men's professional basketball league in Spain

Q6545712 - Liga Alef: the third tier of the Israeli football league

Q3066955 - League of the Cantabrian Rowing Association: rowing league in northern Spain

Adidas

Q23991115 - 2016–17 Primeira Liga: 83rd season of top-tier Portuguese football

Q182994 - Liga Portugal: top division in Portuguese football

Q29623740 - 2017–18 Primeira Liga: football tournament edition

Adidas

Q18756 - UEFA Champions League: European association football tournament

Q96621465 - 2021–22 UEFA Champions League: 67th season of the club football tournament

Q63464555 - UEFA Champions League 1996/97: 1997 association football video game

Q63464470 - UEFA Champions League Season 2001/2002: 2002 football video game

Q63464487 - UEFA Champions League Season 1999/2000: 2000 association football video game

Adidas

Q185982 - EuroLeague: professional men's club basketball competition in Europe

Q5411942 - Euroleague Basketball Manager: 2008 video game

Q521068 - EuroLeague Women: basketball league in Europe for women's basketball clubs

Q3734778 - Euroleague MVP: European men's basketball award

Q1344769 - 2008–09 Euroleague: EuroLeague season

Adidas

Q485568 - Süper Lig: top tier of association football in Turkey

Q1383133 - Turkish Super League all time table: None

Adidas

Q215163 - Club Atlético Vélez Sarsfield: Argentine sports club

Q65170521 - Club Atlético Vélez Sarsfield: Argentine volleyball club

Q124566778 - Vélez Sarsfield de San Ramón: sports club in Argentina

Q115658005 - Club Atlético Vélez Sarsfield (women): None

Q121033624 - Club Atlético Vélez Sarsfield Libertad: None

Adidas

Q6767 - US Livorno 1915: Italian football club based in Livorno, Tuscany

Q30634699 - A.S. Livorno Calcio in European football: None

Adidas

Q1026324 - S.S. Chieti Calcio: association sports club in Chieti, Italy

Adidas

Q298314 - A.S. Gubbio 1910: association football club in Gubbio, Italy

Adidas

Adidas

Q1457 - U.C. Sampdoria: association football club based in Genoa, Italy

Q107453256 - U.C. Sampdoria Women: women's association football club based in Genoa, Italy

Q62024581 - U.C. Sampdoria under-19: Italian youth football team

Q2265047 - U.C. Sampdoria in European football: Wikimedia list article

Adidas

Adidas

Q2756 - Siena FC: Italian football club based in Siena, Tuscany

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates


Adidas

Business trends

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: Adidas, Business trends: The key trends for Adidas are (as at the financial year ending December 31):

[
    "Q3895 - Adidas AG: German multinational corporation",
    "Q12358242 - Adidas: trade mark of Adidas AG",
    "Q2824396 - Adidas Power Soccer: 1996 video game",
    "Q4682709 - Adidas Championship Football: 1990 video game",
    "Q113884442 - Adidas Power Soccer International '97: 1997 video game"
]


Adidas

Business trends

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: Adidas, Business trends: The key trends for Adidas are (as at the financial year ending December 31):

Adidas

Q63758826 - 2015-2021 term (departments of France): None

Q53386085 - 2015-2016 one-year-period: period of about one year starting in 2015 and ending in 2016

Q114717231 - World Economic Forum Annual Meeting 2015: None

Adidas

Output: None of the candidates


Adidas

Apparel

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: Adidas, Apparel: Adidas manufactures a range ofclothingitems, varying from men's and women'st-shirts,jackets,hoodies,pantsandleggings. The first Adidas item of apparel was theFranz Beckenbauertracksuit created in 1967.Adidas AG is the largest manufacturer of sports bras in Europe, and the second largest manufacturer in the world.

[
    "Q3895 - Adidas AG: German multinational corporation",
    "Q12358242 - Adidas: trade mark of Adidas AG",
    "Q2824396 - Adidas Power Soccer: 1996 video game",
    "Q4682709 - Adidas Championship Football: 1990 video game",
    "Q113884442 - Adidas Power Soccer International '97: 1997 video game"
]

[
    "Q1894809 - sports bra: brassiere designed to support the breasts during strenuous exercise",
    "Q116671655 - Jogbra, Inc.: American company",
    "Q112952497 - Sports branding: Towards the network perspective - In the case of the All Blacks: 2020 master's thesis by Junjie Jia at University of Auckland",
    "Q28188413 - Sports Brassiere: Is It a Solution for Mastalgia?: scientific article (publication date: November 2000)",
    "Q49576327 - Sports Bras and Briefs: scientific article published in December 1996"
]

[
    "Q3895 - Adidas AG: German multinational corporation",
    "Q132108367 - Adidas Ag: None",
    "Q128019315 - adidas AG — Konzernabschluss zum 31.12.2018: scholarly article"
]

[
    "Q2648 - 1967: year",
    "Q12681701 - 1967: natural number",
    "Q49077 - Six-Day War: 1967 war between Israel and Egypt, Jordan, and Syria",
    "Q322607 - War of Attrition: 1967–1970 war between Israel and Egypt, Syria and Jordan",
    "Q53385119 - 1967-1968 one-year-period: period of about one year starting in 1967 and ending in 1968"
]

[
    "Q3895 - Adidas AG: German multinational corporation",
    "Q12358242 - Adidas: trade mark of Adidas AG",
    "Q2824396 - Adidas Power Soccer: 1996 video game",
    "Q4682709 - Adidas Championship Football: 1990 video game",
    "Q113884442 - Adidas Power Soccer International '97: 1997 video game"
]


Adidas

Apparel

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: Adidas, Apparel: Adidas manufactures a range ofclothingitems, varying from men's and women'st-shirts,jackets,hoodies,pantsandleggings. The first Adidas item of apparel was theFranz Beckenbauertracksuit created in 1967.Adidas AG is the largest manufacturer of sports bras in Europe, and the second largest manufacturer in the world.

Adidas

P1056 - product or material produced: material or product, including services, produced or provided by an organization, industry, facility, or process

Q1894809 - sports bra: brassiere designed to support the breasts during strenuous exercise

Q116671655 - Jogbra, Inc.: American company

Q112952497 - Sports branding: Towards the network perspective - In the case of the All Blacks: 2020 master's thesis by Junjie Jia at University of Auckland

Q28188413 - Sports Brassiere: Is It a Solution for Mastalgia?: scientific article (publication date: November 2000)

Q49576327 - Sports Bras and Briefs: scientific article published in December 1996

Adidas

Q11460 - clothing: covering worn on the body

Q3501317 - fashion designer: one who designs clothing and related items

Q1065579 - costume accessory: item carried or worn which is used to contribute to the wearer's outfit

Q56876960 - heraldic clothing: category of heraldic charges

Q11828862 - clothing industry: industry encompassing the design, manufacturing, wholesaling and retailing of clothes

Adidas

Q131151 - t-shirt: piece of clothing with short sleeves, a round or V-shaped neckline, without collars, pockets or buttons

Q29812203 - Teashirt Dmel_CG1374: protein found in Drosophila melanogaster

Q1608687 - long-sleeved t-shirt: round- or V-necked jersey top with long sleeves

Q1650865 - T-Shirt: 2008 song by  Shontelle

Adidas

Q849964 - jacket: clothing for the upper body

Q19376013 - Jacket: 2006 debut studio album by Marte Wulff

Q28864717 - waistcoat: informal sleeved woman's jacket of the 16th and 17th centuries

Q465607 - The Jacket: 2005 film by John Maybury

Q55400351 - sport coat: man's jacket similar in cut to a suit coat, but more relaxed, for informal occasions; often of tweed, check, or other patterned fabric

Adidas

Q920929 - hoodie: sweatshirt with a hood

Q5897576 - Hoodie: 2005 single by Lady Sovereign

Q29655703 - track suit top: upper body component of a track suit, usually a jacket or pullover, often with a hood

Q98642610 - Hoodie: Belgian children's television program

Adidas

Q39908 - trousers: clothing for the legs and lower body

Q7863403 - underpants: undergarment worn next to the body having legs or leg openings

Q18265418 - 2510002D24Rik: protein-coding gene in the species Mus musculus

Q63861041 - Pants: sculpture in the National Gallery of Art (NGA 77485)

Adidas

Q660782 - leggings: type of garment that covers the leg, usually up to the ankle

Q16150697 - Legging: method of moving a boat through a canal tunnel or adit containing water

Q104650737 - Leggings: painting by Tadeusz Brzozowski

Q64571189 - Leggings: drawing in the National Gallery of Art (NGA 24191)

Adidas

Adidas

Q49077 - Six-Day War: 1967 war between Israel and Egypt, Jordan, and Syria

Q322607 - War of Attrition: 1967–1970 war between Israel and Egypt, Syria and Jordan

Q53385119 - 1967-1968 one-year-period: period of about one year starting in 1967 and ending in 1968

Adidas

Q10522713 - men's clothing: clothes primarily worn by men and boys

Q120937113 - menswear: in the clothing industry, the segment of ready-to-wear containing apparel and accessories for men

Q123152055 - Men's Clothing Stores: superseded NAICS industry classification

Q58349148 - Men's Clothing in Szentistván and Tard, Two ‘Matyó’ Villages in Hungary: scholarly article by Gyula Hankózi published January 1991 in Costume

Adidas

Q4179400 - women's clothing: clothing worn primarily by women and girls

Q21003091 - women's clothing of Spain: survey of women's dress in Spain

Q8031134 - Women's clothing in China: clothing of women in China

Q123152056 - Women's Clothing Stores: superseded NAICS industry classification

Output: None of the candidates