Nissan

Alliance with Renault and Mitsubishi

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: Nissan, Alliance with Renault and Mitsubishi: In 1999, facing severe financial difficulties, Nissan entered an alliance withRenaultof France.Signed on 27 March 1999, theRenault-Nissan Alliancewas the first of its kind involving a Japanese and French car manufacturer, each with its own distinct corporate culture and brand identity. Renault initially acquired a 36.8 percent stake in Nissan for $3.5 billion pending court approval and Nissan permanently vowed to buy into Renault when it was financially able. In 2001, after the company's turnaround from near-bankruptcy, Nissan acquired a 15 percent share of Renault, which in turn increased its stake in Nissan to 43.4 percent. The Renault-Nissan Alliance has evolved over the years to Renault holding 43.4 percent of Nissan shares, while Nissan held 15 percent of Renault shares. The alliance itself was incorporated as the Renault-Nissan B.V., founded on 28 March 2002 under Dutch law. Renault-Nissan B.V. is equally owned by Renault and Nissan. On 7 April 2010,Daimler AGexchanged a 3.1 percent share of its holdings for 3.1 percent from both Nissan and Renault. This triple alliance allows for the increased sharing of technology and development costs, encouraging global cooperation and mutual development. On 12 December 2012, the Renault–Nissan Alliance formed a joint venture with Russian Technologies (Alliance Rostec Auto BV) with the aim of becoming the long-term controlling shareholder ofAvtoVAZ, Russia's largest car company and owner of the country's biggest selling brand,Lada.The takeover was completed in June 2014, and the two companies of the Renault-Nissan Alliance took a combined 67.1 percent stake of Alliance Rostec, which in turn acquired a 74.5 percent of AvtoVAZ, thereby giving Renault and Nissan indirect control over the Russian manufacturer.Ghosn was appointed chairman of the board of AvtoVAZ on 27 June 2013.In September 2017, Nissan sold its AvtoVAZ stake to Renault for Euro 45 million. Taken together, in 2013 the Renault–Nissan Alliance sold one in ten cars worldwide, and would be the world's fourth largest automaker with sales of 8,266,098 units. Renault and Nissan has announced the change in stock share between two companies, in March 2023. With this announcement and change, both companies will be treated as economically independent entity.

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    "Q6686 - Renault: automotive conglomerate",
    "Q98584518 - Renault: French automobile manufacturer",
    "Q453485 - Jean-Baptiste Regnault: French painter (1754–1829)",
    "Q2636184 - Renault: agricultural machinery division of the car manufacturer, established in 1918",
    "Q25333048 - Renault: family name"
]

[
    "Q270195 - Nissan-lez-Enserune: commune in Hérault, France",
    "Q37455347 - Nissan: family name",
    "Q20165 - Nissan Motor Co. Ltd.: Japanese company",
    "Q958359 - Nissan: river in southern Sweden",
    "Q41156912 - Nisan: male given name (ניסן)"
]

[
    "Q6686 - Renault: automotive conglomerate",
    "Q98584518 - Renault: French automobile manufacturer",
    "Q453485 - Jean-Baptiste Regnault: French painter (1754–1829)",
    "Q2636184 - Renault: agricultural machinery division of the car manufacturer, established in 1918",
    "Q25333048 - Renault: family name"
]

[
    "Q270195 - Nissan-lez-Enserune: commune in Hérault, France",
    "Q37455347 - Nissan: family name",
    "Q20165 - Nissan Motor Co. Ltd.: Japanese company",
    "Q958359 - Nissan: river in southern Sweden",
    "Q41156912 - Nisan: male given name (ניסן)"
]

[
    "Q270195 - Nissan-lez-Enserune: commune in Hérault, France",
    "Q37455347 - Nissan: family name",
    "Q20165 - Nissan Motor Co. Ltd.: Japanese company",
    "Q958359 - Nissan: river in southern Sweden",
    "Q41156912 - Nisan: male given name (ניסן)"
]

[
    "Q6686 - Renault: automotive conglomerate",
    "Q98584518 - Renault: French automobile manufacturer",
    "Q453485 - Jean-Baptiste Regnault: French painter (1754–1829)",
    "Q2636184 - Renault: agricultural machinery division of the car manufacturer, established in 1918",
    "Q25333048 - Renault: family name"
]

[
    "Q270195 - Nissan-lez-Enserune: commune in Hérault, France",
    "Q37455347 - Nissan: family name",
    "Q20165 - Nissan Motor Co. Ltd.: Japanese company",
    "Q958359 - Nissan: river in southern Sweden",
    "Q41156912 - Nisan: male given name (ניסן)"
]

[
    "Q6686 - Renault: automotive conglomerate",
    "Q98584518 - Renault: French automobile manufacturer",
    "Q453485 - Jean-Baptiste Regnault: French painter (1754–1829)",
    "Q2636184 - Renault: agricultural machinery division of the car manufacturer, established in 1918",
    "Q25333048 - Renault: family name"
]

[
    "Q270195 - Nissan-lez-Enserune: commune in Hérault, France",
    "Q37455347 - Nissan: family name",
    "Q20165 - Nissan Motor Co. Ltd.: Japanese company",
    "Q958359 - Nissan: river in southern Sweden",
    "Q41156912 - Nisan: male given name (ניסן)"
]

[
    "Q270195 - Nissan-lez-Enserune: commune in Hérault, France",
    "Q37455347 - Nissan: family name",
    "Q20165 - Nissan Motor Co. Ltd.: Japanese company",
    "Q958359 - Nissan: river in southern Sweden",
    "Q41156912 - Nisan: male given name (ניסן)"
]

[
    "Q270195 - Nissan-lez-Enserune: commune in Hérault, France",
    "Q37455347 - Nissan: family name",
    "Q20165 - Nissan Motor Co. Ltd.: Japanese company",
    "Q958359 - Nissan: river in southern Sweden",
    "Q41156912 - Nisan: male given name (ניסן)"
]

[
    "Q270195 - Nissan-lez-Enserune: commune in Hérault, France",
    "Q37455347 - Nissan: family name",
    "Q20165 - Nissan Motor Co. Ltd.: Japanese company",
    "Q958359 - Nissan: river in southern Sweden",
    "Q41156912 - Nisan: male given name (ניסן)"
]

[
    "Q270195 - Nissan-lez-Enserune: commune in Hérault, France",
    "Q37455347 - Nissan: family name",
    "Q20165 - Nissan Motor Co. Ltd.: Japanese company",
    "Q958359 - Nissan: river in southern Sweden",
    "Q41156912 - Nisan: male given name (ניסן)"
]

[
    "Q6686 - Renault: automotive conglomerate",
    "Q98584518 - Renault: French automobile manufacturer",
    "Q453485 - Jean-Baptiste Regnault: French painter (1754–1829)",
    "Q2636184 - Renault: agricultural machinery division of the car manufacturer, established in 1918",
    "Q25333048 - Renault: family name"
]

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


Nissan

Alliance with Renault and Mitsubishi

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: Nissan, Alliance with Renault and Mitsubishi: In 1999, facing severe financial difficulties, Nissan entered an alliance withRenaultof France.Signed on 27 March 1999, theRenault-Nissan Alliancewas the first of its kind involving a Japanese and French car manufacturer, each with its own distinct corporate culture and brand identity. Renault initially acquired a 36.8 percent stake in Nissan for $3.5 billion pending court approval and Nissan permanently vowed to buy into Renault when it was financially able. In 2001, after the company's turnaround from near-bankruptcy, Nissan acquired a 15 percent share of Renault, which in turn increased its stake in Nissan to 43.4 percent. The Renault-Nissan Alliance has evolved over the years to Renault holding 43.4 percent of Nissan shares, while Nissan held 15 percent of Renault shares. The alliance itself was incorporated as the Renault-Nissan B.V., founded on 28 March 2002 under Dutch law. Renault-Nissan B.V. is equally owned by Renault and Nissan. On 7 April 2010,Daimler AGexchanged a 3.1 percent share of its holdings for 3.1 percent from both Nissan and Renault. This triple alliance allows for the increased sharing of technology and development costs, encouraging global cooperation and mutual development. On 12 December 2012, the Renault–Nissan Alliance formed a joint venture with Russian Technologies (Alliance Rostec Auto BV) with the aim of becoming the long-term controlling shareholder ofAvtoVAZ, Russia's largest car company and owner of the country's biggest selling brand,Lada.The takeover was completed in June 2014, and the two companies of the Renault-Nissan Alliance took a combined 67.1 percent stake of Alliance Rostec, which in turn acquired a 74.5 percent of AvtoVAZ, thereby giving Renault and Nissan indirect control over the Russian manufacturer.Ghosn was appointed chairman of the board of AvtoVAZ on 27 June 2013.In September 2017, Nissan sold its AvtoVAZ stake to Renault for Euro 45 million. Taken together, in 2013 the Renault–Nissan Alliance sold one in ten cars worldwide, and would be the world's fourth largest automaker with sales of 8,266,098 units. Renault and Nissan has announced the change in stock share between two companies, in March 2023. With this announcement and change, both companies will be treated as economically independent entity.

Renault

Q6686 - Renault: automotive conglomerate

Q98584518 - Renault: French automobile manufacturer

Q453485 - Jean-Baptiste Regnault: French painter (1754–1829)

Q2636184 - Renault: agricultural machinery division of the car manufacturer, established in 1918

Q200667 - Ladakh: region administered by India as a union territory

Q504027 - lidar: remote detection instrumentation

Renault

Q270195 - Nissan-lez-Enserune: commune in Hérault, France

Q20165 - Nissan Motor Co. Ltd.: Japanese company

Q958359 - Nissan: river in southern Sweden

Q41156912 - Nisan: male given name (ניסן)

Renault

Q2309 - AvtoVAZ: Russian automobile manufacturer

Q48804325 - AvtoVAZ vehicles in international markets: None

Q33126008 - list of AvtoVAZ vehicles: Wikimedia list article

Renault

P47 - shares border with: countries or administrative subdivisions, of equal level, that this item borders, either by land or water. A single common point is enough.

P4070 - identifier shared with: qualifier, to be used on external identifier IDs, indicating another Wikidata item is also matched to this ID

P9531 - identifier shared with lexeme: qualifier used to state which other lexemes are also matched to this identifier

P10756 - number of reblogs: number of reblogs, reposts, retweets, crossposts, or on-platform shares received on a social media post

Renault

Renault

Q27530 - Mercedes-Benz Group: German automotive manufacturer

Q386598 - Daimler Buses: German bus and coach manufacturer

Q1157624 - Daimler Truck: German commercial vehicle manufacturer

Q27539 - Daimler Company: British motor vehicle manufacturer

Renault

Renault

P355 - child organization/unit: child organization/unit or subsidiary of a company or organization/unit; generally a fully owned separate corporation. Compare with "business division" (P199). Opposite of parent organization/unit (P749).

P749 - parent organization: parent organization of an organization, opposite of subsidiaries (P355)

Renault

Renault

Q20882 - Gustave Eiffel: French chemical engineer and architect (1832–1923)

Q2928782 - Gustave Eiffel: bust by Antoine Bourdelle

Q65153823 - Gustave Eiffel University: French university specialising in the study of cities and urbanisation processes in Marne-la-Vallée, Paris and also Versailles

Q106475965 - Gustave Eiffel: Vanity Fair caricature of M AG Eiffel by GUTH

Q19462123 - Gustave Eiffel French School of Budapest: French international school in Hungary

Renault

Q356719 - Carlos Ghosn: French-Brazilian-Lebanese businessman

Q107618108 - Carlos Ghosn's Mad Dash Captivates Japan: "His Escape Was Like a Novel": None

Q118457363 - Carlos Ghosn: The Last Flight: tv movie/episiode

Q97600312 - Carlos Ghosn : le conseil d'administration de Renault refuse de payer ses indemnités de départ: None

Q116202634 - Fugitive: The Curious Case Of Carlos Ghosn: 2022 film directed by Lucy Blakstad

Renault

Q8447 - French Wikipedia: French-language edition of Wikipedia

Q3083196 - French of France: French language dialect

Q37351 - Oïl: dialect continuum that includes French and its closest relatives

Q101444601 - French teacher: person who teaches the French language

Renault

Q5287 - Japanese: language spoken in East Asia

Q177837 - Japanese Wikipedia: Japanese-language edition of Wikipedia

Q10855582 - Japanese language: school subject

Q6158568 - dictionary of the Japanese language: language version of dictionary

Q110262521 - Japanese Language: Stack Exchange site for students, teachers, and linguists wanting to discuss the finer points of the Japanese language

Renault

Q20165 - Nissan Motor Co. Ltd.: Japanese company

Q1543585 - Nismo: motorsport and performance division of automobile manufacturer Nissan

Q1993716 - Nissan Motor Ibérica: Spanish subsidiary company

Q11509889 - Nissan Motor Co. Baseball Club: None

Q9544829 - Nissan Motor Indonesia: Indonesian subsidiary company

Renault

Q6686 - Renault: automotive conglomerate

Q98584518 - Renault: French automobile manufacturer

Q453485 - Jean-Baptiste Regnault: French painter (1754–1829)

Renault

Renault

Q1190247 - Mitsubishi Fuso Truck and Bus Corporation: Japanese manufacturer of commercial vehicles

Renault

Q183275 - Mitsubishi: group of autonomous, Japanese multinational companies

Q36033 - Mitsubishi Motors: Japanese automotive manufacturer

Q650745 - Mitsubishi Corporation: Japanese trading company

Q1542175 - Mitsubishi UFJ Financial Group: Japanese bank holding and financial services company

Renault

Q827306 - Proton: Automobile manufacturer

Q506710 - hydron: cationic form of atomic hydrogen (symbol H⁺), informally called "proton"

Q30537036 - Proton: Swiss technology company

Q60982120 - Proton: compatibility layer for running Windows games on Linux

Q106844360 - Proton: Hungarian record label

Renault

Q27530 - Mercedes-Benz Group: German automotive manufacturer

Q5797550 - DaimlerChrysler AG: business enterprise

Q704874 - DASA: 1989-2000 aerospace manufacturer in Germany

Q64143144 - Daimler (United Kingdom): company in Aylesbury, United Kingdom

Q17658654 - DaimlerChrysler plans to cut 13,000 jobs: Wikinews article

Renault

Q40966 - Opel: German automobile manufacturer, subsidiary of Stellantis

Renault

Q40990 - Pontiac: automobile brand of General Motors

Q574912 - Pontiac: city in Illinois, USA

Q847596 - Pontiac: city and county seat of Oakland County, Michigan, United States

Q3397733 - Pontiac: municipality in Quebec, Canada

Q1517934 - Pontiac: regional county municipality in Quebec, Canada

Renault

Q48957 - Saab Automobile: Swedish automotive company (1945-2011)

Q219501 - Saab Group: Swedish aerospace and defense company

Q16960992 - Saab Automobile bankruptcy: Bankruptcy of Swedish car company Saab

Q100339100 - Saab Automobile Ecopower & Safety R&D project: None

Renault

Q6746 - Citroën: French automotive manufacturer

Q30024860 - Citroën: entry in Dictionnaire du patrimoine rennais

Renault

Q6742 - Peugeot: French automotive brand of Stellantis

Q1624386 - Peugeot cycling team: French professional cycling team (1901–1986)

Q275623 - Groupe PSA: French automotive manufacturing corporation (1976-2021)

Renault

Q15678788 - Fiat Chrysler Automobiles: Italian-American multinational automotive manufacturing (2014-2021)

Q3744458 - Stellantis Europe: Italian subsidiary of Franco-Italian carmaker Stellantis

Q55454107 - Fiat Chrysler Automobiles (United Kingdom): company in London, United Kingdom

Q80900581 - Fiat Ireland: automotive company in Ireland

Q21074022 - Fiat Chrysler recalls 7,810 Jeep SUVs for software vulnerability: Wikinews article

Renault

Q27597 - Fiat: automotive and aircraft brand manufacturing subsidiary of FCA Italy

Q940689 - Fiat: Italian multinational automotive manufacturing (1899-2014)

Q18042054 - TXLNG: protein-coding gene in the species Homo sapiens

Q324744 - Fiat G.91: attack aircraft family by Fiat

Renault

Q26921 - Alfa Romeo: Italian automotive manufacturer

Q124982078 - Alfa Romeo: Italian car brand

Q622489 - Alfa Romeo Racing: Formula One team

Q61467970 - Alfa Romeo: 1950-1951 period of the Alfa Romeo Formula One team

Q84562554 - Alfa Romeo: 1979-1985 period of the Alfa Romeo Racing Formula One team

Renault

Q35896 - Lancia: automobile manufacturing subsidiary of Stellantis

Renault

Q26823 - Abarth: Italian racing car maker

Q4573645 - Abarth 1000 GT Coupé: Alfa Romeo car

Q112220966 - Abarth T140: Concept racingcar

Q26234047 - Abarth 124 Spider: Sports car

Renault

Q35962 - Maserati: Italian luxury car manufacturer

Q124991042 - Maserati: Italian automobile brand

Q1548973 - Maserati: American post-rock band

Q2666342 - Maserati: Formula One constructor team

Renault

Q26678 - BMW: German automobile manufacturer, and conglomerate

Q249173 - BMW Motorrad: motorcycle brand of the German company BMW

Q98582386 - Black Myth: Wukong: 2024 video game developed by Game Science

Renault

Q36008 - Mercedes-Benz: German automobile brand owned by Mercedes-Benz AG

Q27530 - Mercedes-Benz Group: German automotive manufacturer

Q541477 - Daimler-Benz AG: 1926-1998 automotive and engine manufacturer in Germany, later restructured and renamed; best-known products being the Mercedes-Benz cars

Q1427345 - Mercedes-Benz buses: German manufacturer of buses and coaches

Q152349 - MHPArena: football stadium in Stuttgart, Germany

Renault

Q834494 - Smart Fortwo: automobile model

Q3962967 - Smart Fortwo (W450): car model

Q3962969 - Smart Fortwo (W451): car model

Q3321341 - Smart electric drive: battery electric vehicle version of the Smart Fortwo city car

Renault

Q321772 - Daewoo: defunct South Korean conglomerate

Q497860 - Hanwha Ocean: shipbuilder of South Korea

Q495027 - Busan IPark FC: professional association football club based in Busan, South Korea

Q27483 - Daewoo Motors: defunct South Korean automotive company (1972-2007)

Q102308631 - Daewoong Cheong: Ph.D. Brandeis University 2006

Renault

Q27586 - Ferrari: Italian luxury sports car manufacturer; subsidiary of Ferrari N.V.

Q2254817 - Ferrari: 2003 film by Carlo Carlei

Q55516950 - Ferrari: 2018 single by Bebe Rexha

Renault

Q246 - Volkswagen: German automotive brand; manufacturing subsidiary of Volkswagen Group

Q156578 - Volkswagen Group: German automotive manufacturing conglomerate

Q1766743 - Volkswagen Foundation: private German charitable Foundation

Q1417237 - Volkswagen Bora: Saloon car related to the MK4 Golf.

Q155603 - Volkswagen Arena: football stadium in Wolfsburg, Germany

Renault

Q482994 - album: grouping of album releases by an artist usually released at the same time with the same title and tracks but in different formats for consumption (digital, CD, LP)

Q23317 - Audi AG: German automotive manufacturing subsidiary of Volkswagen Group

Q7302866 - audio track: track on an audio release

Q128124 - audio engineer: engineer who operates recording, mixing, sound reproduction equipment

Renault

Q5083 - Seattle: city in and county seat of King County, State of Washington, United States

Q15026 - chair: piece of furniture for sitting on

Q188217 - SEAT: Spanish automotive company based in Martorell, subsidiary of Volkswagen Group

Renault

Q29637 - Škoda Auto: automotive manufacturing subsidiary of Volkswagen Group

Q933787 - Škoda Transportation: Czech transport engineering company

Q391795 - Škoda Works: former manufacturing conglomerate

Renault

Q29913 - Iveco: Italian industrial vehicle manufacturing company

Q29755 - Iveco Bus: bus manufacturer, with headquarters in Lyon, France

Q532299 - Iveco Defence Vehicles: manufacturer of special purpose vehicles for defence and civil protection applications, subsidiary of Iveco

Q110269968 - Iveco Group: Truck manufacturer

Renault

Q181642 - Suzuki Motor Corporation: Japanese multinational automotive corporation

Q1533615 - Suzuki: Japanese family name (鈴木)

Q360978 - Suzuki Harunobu: Japanese printmaker

Renault

Q53268 - Toyota: Japanese multinational automotive manufacturer

Q201117 - Toyota: city in Aichi Prefecture, Japan

Q182473 - Intercontinental Cup: international association football tournament for clubs

Q243543 - Toyota Corolla: automobile model produced by Toyota

Q2626100 - Toyota Auto Body Queenseis: women's volleyball team

Renault

Renault

Renault

Q840045 - Renault Trucks: French commercial truck and military vehicle manufacturer

Q3425100 - Arquus: French military vehicle company

Q14157361 - Renault Trucks T: range of heavy-duty trucks manufactured by Renault Trucks

Q14756185 - Renault Trucks D: motor vehicle

Q14755852 - Renault Trucks K: motor vehicle

Renault

Q2308914 - Renault Sport: special vehicles division of Renault

Q172722 - Renault F1 Team: auto racing team

Q1465453 - Renault Sport Series: auto racing series in Europe

Q2143864 - Renault Sport Spider: car model

Q18415173 - Renault Sport R.S. 01: sports racing car

Renault

Renault

Q3866369 - Sofim 8140 engine: motor vehicle engine

Q123185869 - Frida Sofía ASMR: Youtuber and psychologist from Mazatlán

Q102262027 - SOFIMED-PRAKTIK: Czech company

Renault

Renault

Q36033 - Mitsubishi Motors: Japanese automotive manufacturer

Q6883104 - Mitsubishi Mizushima FC: Japanese association football club

Q1122373 - Ralliart: motorsports division of Mitsubishi Motors

Q264136 - Badminton Horse Trials: equestrian triathalon

Renault

Q270195 - Nissan-lez-Enserune: commune in Hérault, France

Q20165 - Nissan Motor Co. Ltd.: Japanese company

Q958359 - Nissan: river in southern Sweden

Q41156912 - Nisan: male given name (ניסן)

Renault

Q27530 - Mercedes-Benz Group: German automotive manufacturer

Q5797550 - DaimlerChrysler AG: business enterprise

Q704874 - DASA: 1989-2000 aerospace manufacturer in Germany

Q64143144 - Daimler (United Kingdom): company in Aylesbury, United Kingdom

Q17658654 - DaimlerChrysler plans to cut 13,000 jobs: Wikinews article

Renault

Q383589 - American Locomotive Company: defunct locomotive manufacturer

Renault

Q940689 - Fiat: Italian multinational automotive manufacturing (1899-2014)

Q18042054 - TXLNG: protein-coding gene in the species Homo sapiens

Q324744 - Fiat G.91: attack aircraft family by Fiat

Renault

Q26921 - Alfa Romeo: Italian automotive manufacturer

Q124982078 - Alfa Romeo: Italian car brand

Q622489 - Alfa Romeo Racing: Formula One team

Renault

Q26823 - Abarth: Italian racing car maker

Q4573645 - Abarth 1000 GT Coupé: Alfa Romeo car

Q112220966 - Abarth T140: Concept racingcar

Q26234047 - Abarth 124 Spider: Sports car

Renault

Q35896 - Lancia: automobile manufacturing subsidiary of Stellantis

Renault

Q35962 - Maserati: Italian luxury car manufacturer

Q124991042 - Maserati: Italian automobile brand

Q1548973 - Maserati: American post-rock band

Q2666342 - Maserati: Formula One constructor team

Renault

Q40966 - Opel: German automobile manufacturer, subsidiary of Stellantis

Renault

Q40990 - Pontiac: automobile brand of General Motors

Q574912 - Pontiac: city in Illinois, USA

Q3397733 - Pontiac: municipality in Quebec, Canada

Q1517934 - Pontiac: regional county municipality in Quebec, Canada

Renault

Q48957 - Saab Automobile: Swedish automotive company (1945-2011)

Q219501 - Saab Group: Swedish aerospace and defense company

Q100339100 - Saab Automobile Ecopower & Safety R&D project: None

Renault

Q827306 - Proton: Automobile manufacturer

Q30537036 - Proton: Swiss technology company

Q60982120 - Proton: compatibility layer for running Windows games on Linux

Q106844360 - Proton: Hungarian record label

Renault

Renault

Renault

Q1477864 - Renault–Nissan–Mitsubishi Alliance: strategic partnership between Renault Group, Nissan Motor Co., Ltd. and Mitsubishi Motors Corporation

Output: None of the candidates

Output: None of the candidates

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Output: None of the candidates

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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

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Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

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Output: None of the candidates

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Output: None of the candidates

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Output: None of the candidates

Output: None of the candidates

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Output: None of the candidates


Nissan

Brands

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: Nissan, Brands: Nissan:Nissan's volume models are sold worldwide under the Nissan brand. Datsun:Until 1983, Nissan automobiles in most export markets were sold under theDatsunbrand. In 1984 the Datsun brand was phased out and the Nissan brand was phased in. All cars in 1984 had both the Datsun and Nissan branding on them and in 1985 the Datsun name was completely dropped. In July 2013, Nissan relaunched Datsun as a brand targeted at emerging markets. However, due to sluggish sales, Nissan ended sales of Datsun-badged vehicles in 2022. Infiniti:Since 1989, Nissan has sold its luxury models under theInfinitibrand. In 2012, Infiniti changed its headquarters toHong Kong, where it is incorporated as Infiniti Global Limited. Its president is former BMW executive Roland Krueger. From 2014 to 2020, the Japanese-marketSkyline(rebadgedInfiniti Q50) andFuga(rebadgedInfiniti Q70) were sold with Infiniti emblem. Nismo:Nissan's in-house tuning shop isNismo, short for "Nissan Motorsport International Limited." Nismo is being re-positioned as Nissan's performance brand.

[
    "Q270195 - Nissan-lez-Enserune: commune in Hérault, France",
    "Q37455347 - Nissan: family name",
    "Q20165 - Nissan Motor Co. Ltd.: Japanese company",
    "Q958359 - Nissan: river in southern Sweden",
    "Q41156912 - Nisan: male given name (ניסן)"
]

[
    "Q270195 - Nissan-lez-Enserune: commune in Hérault, France",
    "Q37455347 - Nissan: family name",
    "Q20165 - Nissan Motor Co. Ltd.: Japanese company",
    "Q958359 - Nissan: river in southern Sweden",
    "Q41156912 - Nisan: male given name (ניסן)"
]

[
    "Q27543 - Datsun: automobile brand of Nissan",
    "Q117080876 - Datsun: general cargo vessel built in 2005",
    "Q122948395 - Datsun: Norwegian musical group",
    "Q1664019 - The Datsuns: hard rock band from Cambridge, New Zealand",
    "Q846552 - Datsun Truck: pickup"
]

[
    "Q270195 - Nissan-lez-Enserune: commune in Hérault, France",
    "Q37455347 - Nissan: family name",
    "Q20165 - Nissan Motor Co. Ltd.: Japanese company",
    "Q958359 - Nissan: river in southern Sweden",
    "Q41156912 - Nisan: male given name (ניסן)"
]

[
    "Q29714 - Infiniti: Japanese luxury vehicle brand owned by Nissan",
    "Q179230 - infinitive: grammatical form",
    "Q100952920 - zu infinitive: verb form in German",
    "Q173663 - Red Bull Racing: Formula One racing team based in Milton Keynes, England",
    "Q299531 - Los Angeles Open: tennis tournament"
]

[
    "Q29714 - Infiniti: Japanese luxury vehicle brand owned by Nissan",
    "Q179230 - infinitive: grammatical form",
    "Q100952920 - zu infinitive: verb form in German",
    "Q173663 - Red Bull Racing: Formula One racing team based in Milton Keynes, England",
    "Q299531 - Los Angeles Open: tennis tournament"
]

[
    "Q8646 - Hong Kong: city and special administrative region of China",
    "Q1054923 - British Hong Kong: British colony and dependent territory from 1841 to 1997",
    "Q95977692 - Hong Kong Baptist University Library: Library of Hong Kong Baptist University",
    "Q107791631 - Hong Kong TV and Film Publication Database: The \"Hong Kong TV and Film Publication Database\" mainly collects TV and film publications published in Hong Kong during the British colonial period.",
    "Q15568 - University of Hong Kong: public research university in Hong Kong"
]

[
    "Q270195 - Nissan-lez-Enserune: commune in Hérault, France",
    "Q37455347 - Nissan: family name",
    "Q20165 - Nissan Motor Co. Ltd.: Japanese company",
    "Q958359 - Nissan: river in southern Sweden",
    "Q41156912 - Nisan: male given name (ניסן)"
]

[
    "Q270195 - Nissan-lez-Enserune: commune in Hérault, France",
    "Q37455347 - Nissan: family name",
    "Q20165 - Nissan Motor Co. Ltd.: Japanese company",
    "Q958359 - Nissan: river in southern Sweden",
    "Q41156912 - Nisan: male given name (ניסן)"
]

[
    "Q1543585 - Nismo: motorsport and performance division of automobile manufacturer Nissan",
    "Q18447137 - Nismozza: human settlement in Italy",
    "Q1426333 - Nismo 400R: car model",
    "Q1993566 - Nismo 270R: None",
    "Q130425697 - Nismo Mi Indijanci: None"
]

[
    "Q270195 - Nissan-lez-Enserune: commune in Hérault, France",
    "Q37455347 - Nissan: family name",
    "Q20165 - Nissan Motor Co. Ltd.: Japanese company",
    "Q958359 - Nissan: river in southern Sweden",
    "Q41156912 - Nisan: male given name (ניסן)"
]

[
    "Q27543 - Datsun: automobile brand of Nissan",
    "Q117080876 - Datsun: general cargo vessel built in 2005",
    "Q122948395 - Datsun: Norwegian musical group",
    "Q1664019 - The Datsuns: hard rock band from Cambridge, New Zealand",
    "Q846552 - Datsun Truck: pickup"
]

[
    "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"
]


Nissan

Brands

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: Nissan, Brands: Nissan:Nissan's volume models are sold worldwide under the Nissan brand. Datsun:Until 1983, Nissan automobiles in most export markets were sold under theDatsunbrand. In 1984 the Datsun brand was phased out and the Nissan brand was phased in. All cars in 1984 had both the Datsun and Nissan branding on them and in 1985 the Datsun name was completely dropped. In July 2013, Nissan relaunched Datsun as a brand targeted at emerging markets. However, due to sluggish sales, Nissan ended sales of Datsun-badged vehicles in 2022. Infiniti:Since 1989, Nissan has sold its luxury models under theInfinitibrand. In 2012, Infiniti changed its headquarters toHong Kong, where it is incorporated as Infiniti Global Limited. Its president is former BMW executive Roland Krueger. From 2014 to 2020, the Japanese-marketSkyline(rebadgedInfiniti Q50) andFuga(rebadgedInfiniti Q70) were sold with Infiniti emblem. Nismo:Nissan's in-house tuning shop isNismo, short for "Nissan Motorsport International Limited." Nismo is being re-positioned as Nissan's performance brand.

Nissan

Q270195 - Nissan-lez-Enserune: commune in Hérault, France

Q20165 - Nissan Motor Co. Ltd.: Japanese company

Q958359 - Nissan: river in southern Sweden

Q41156912 - Nisan: male given name (ניסן)

Nissan

Q27543 - Datsun: automobile brand of Nissan

Q117080876 - Datsun: general cargo vessel built in 2005

Q122948395 - Datsun: Norwegian musical group

Q1664019 - The Datsuns: hard rock band from Cambridge, New Zealand

Datsun

Q918466 - 1983 United Kingdom general election: election for members of the British House of Commons

Q702022 - 1983 West German federal election: federal election in West Germany

Q7978951 - 1983: 2006 debut studio album by Flying Lotus

Datsun

Q20012848 - 1984: 1973 debut studio album by Hugh Hopper

Q208460 - Nineteen Eighty-Four: 1949 dystopian social science fiction novel by George Orwell

Q8456 - 1984 Summer Olympics: Games of the XXIII Olympiad, in Los Angeles, USA

Datsun

Q53386030 - 2013-2014 one-year-period: period of about one year starting in 2013 and ending in 2014

Q114717229 - World Economic Forum Annual Meeting 2013: None

Datsun

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

Nissan

Q29714 - Infiniti: Japanese luxury vehicle brand owned by Nissan

Q100952920 - zu infinitive: verb form in German

Q173663 - Red Bull Racing: Formula One racing team based in Milton Keynes, England

Q299531 - Los Angeles Open: tennis tournament

Infiniti

Q43261 - horizon: apparent line that separates earth from sky

Q135075090 - Skyline: 2025 video game developed by Baknight

Q465837 - skyline: shape of a city's buildings against the sky

Q7537906 - Skyline High School: secondary school in Dallas, Texas, United States

Q1340087 - Skyline: 2010 film by Greg and Colin Strause

Infiniti

Q181014 - fugue: contrapuntal musical form based on a subject that recurs in imitation

Q113565890 - Fuga: Japanese human beatboxer

Infiniti

Q23091364 - Flushing–Co-op City buses: bus routes in New York City

Q21126952 - Retina and anterior neural fold homeobox 2: mammalian protein found in Homo sapiens

Q124035861 - the Wandering Jew: narrative motif documented in Thompson's Motif-Index of Folk-Literature

Q124035859 - ceaseless humming (singing) as punishment for immoderate request: narrative motif documented in Thompson's Motif-Index of Folk-Literature

Infiniti

Q70 - Bern: city in Switzerland, capital of the canton of Bern and de facto capital of Switzerland

Q25197232 - Q70: Bus route in Queens, New York

Q37565584 - Q705K variant in NLRP3 gene confers protection against myocardial infarction in female individuals: scientific article published on 07 August 2013

Infiniti

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

Q126485623 - Roland Krueger: Businessman and Industrial designer

Infiniti

Q26678 - BMW: German automobile manufacturer, and conglomerate

Q249173 - BMW Motorrad: motorcycle brand of the German company BMW

Q98582386 - Black Myth: Wukong: 2024 video game developed by Game Science

Infiniti

P159 - headquarters location: city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building

Q8646 - Hong Kong: city and special administrative region of China

Q1054923 - British Hong Kong: British colony and dependent territory from 1841 to 1997

Q95977692 - Hong Kong Baptist University Library: Library of Hong Kong Baptist University

Q107791631 - Hong Kong TV and Film Publication Database: The "Hong Kong TV and Film Publication Database" mainly collects TV and film publications published in Hong Kong during the British colonial period.

Q15568 - University of Hong Kong: public research university in Hong Kong

Infiniti

Nissan

Q1543585 - Nismo: motorsport and performance division of automobile manufacturer Nissan

Q18447137 - Nismozza: human settlement in Italy

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


Nissan

Corporate identity

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: Nissan, Corporate identity: For many years, Nissan used a red wordmark for the company, and car badges for the "Nissan" and "Infiniti" brands.At Nissan's 2013 earnings press conference in Yokohama, Nissan unveiled "a new steel-blue logo that spells out—literally—the distinction between Nissan the company and Nissan the brand."Using a blue-gray color scheme, the new corporate logo did read NISSAN MOTOR COMPANY. Underneath were the "badge" logos for the Nissan, Infiniti and Datsun brands. Later in 2013, the Nissan "Company" logo changed to the Nissan "Corporation" logo. The latter was the logo used by Nissan Motor Co., Ltd.up to early 2020. In July 2020, Nissan introduced new corporate and brand logos, as part of an image revamp tied to theAriyalaunch. As of 2007 in Japan, Nissan sells its products with internationally recognized "Nissan" signage, using a chrome circle with "Nissan" across the front. Previously, Nissan used two dealership names called "Nissan Blue Stage"(ja:日産・ブルーステージ,Nissan Burū Sutēji), "Nissan Red Stage"(ja:日産・レッドステージ,Nissan Reddo Sutēji), and "Nissan Red and Blue Stage"(ja:日産・レッド&ブルーステージ,Nissan Reddo & Burū Sutēji), established in 1999 after forming an alliance withRenault. Renault also exported cars to Japan and were available at "Nissan Red Stage" locations, and are still available at Nissan Japanese dealerships. Nissan Red Stage was the result of combining an older sales channel of dealerships under the names "Nissan Prince Store"(ja:日産・プリンス店,Nissan Purinsu-ten), established in 1966 after the merger ofPrince Motorsby Nissan, which sold theNissan Skyline. "Nissan Satio Store"(日産・サティオ店,Nissan Satio-ten)sold cars developed from theNissan Sunnyat its introduction in 1966. The word "satio" is Latin, which meansampleorsufficient. "Nissan Cherry Store"(日産・チェリー店,Nissan Cherī-ten)was briefly known previously as "Nissan Cony Store" when they assumed operations of a smallkeimanufacturer calledAichi Machine Industry Co., Ltd. (愛知機械工業)who manufactured the "Cony", "Guppy" and"Giant"brand ofkeicars and trucks until 1970, when the network was renamed for theNissan Cherry. Nissan Blue Stage was the result of combining older sales channels, called "Nissan Store"(ja:日産店,Nissan Mise)in 1955 selling Nissan's original post-war products called theDatsun Bluebird,Datsun Sports,Datsun Truck,Datsun Cablight,Datsun Cabstar,Nissan Juniorand theNissan Patrol. Select "Nissan Store" locations were renamed "Nissan Cedric Store" when theNissan Cedricwas introduced in 1960, then renamed "Nissan Store" in 1965 and offered luxury sedans like theNissan Presidentand the former Prince Motor Company developedNissan Laurel. In 1970, Nissan also set up a separate sales chain which sold used cars including auctions, called Nissan U-Cars(ja:日産ユーズドカーセンター,Nissan Yūzudo Kā Sentā), which they still maintain. In the early days of Nissan's dealership network, Japanese consumers were directed towards specific Nissan stores for cars that were of a specific size and pricepoint. Over time as sales progressed and the Japanese automotive industry became more prolific, vehicles that were dedicated to particular stores werebadge engineered, given different names, and shared within the existing networks thereby selling the same platforms at different locations. The networks allowed Nissan to better compete with the network established earlier byToyotaat Japanese locations.
Starting in 1960, another sales distribution channel was established that sold diesel products for commercial use, calledNissan Dieseluntil the diesel division was sold in 2007 toVolvo. To encourage retail sales, Nissan passenger vehicles that were installed with diesel engines, like the Cedric, were available at Nissan Diesel locations. All cars sold at Nissan Blue Stage (1999–2005): All cars sold at Nissan Store, (1955–1999): All cars sold at Nissan Red Stage (1999–2005): All cars sold at Nissan Prince Store, Nissan Satio Store, Nissan Cherry Store (1966–1999):

[
    "Q270195 - Nissan-lez-Enserune: commune in Hérault, France",
    "Q37455347 - Nissan: family name",
    "Q20165 - Nissan Motor Co. Ltd.: Japanese company",
    "Q958359 - Nissan: river in southern Sweden",
    "Q41156912 - Nisan: male given name (ניסן)"
]

[
    "Q270195 - Nissan-lez-Enserune: commune in Hérault, France",
    "Q37455347 - Nissan: family name",
    "Q20165 - Nissan Motor Co. Ltd.: Japanese company",
    "Q958359 - Nissan: river in southern Sweden",
    "Q41156912 - Nisan: male given name (ניסן)"
]

[
    "Q42782388 - Nissan Diesel Space Runner RA: motor vehicle",
    "Q11509744 - Nissan Diesel Condor: medium-duty commercial vehicle",
    "Q6719064 - Nissan Diesel Space Runner A: motor vehicle",
    "Q10859924 - Nissan Diesel UA: motor vehicle",
    "Q4387979 - Nissan Diesel Quon: Heavy-duty commercial vehicle produced by UD Trucks"
]

[
    "Q42782388 - Nissan Diesel Space Runner RA: motor vehicle",
    "Q11509744 - Nissan Diesel Condor: medium-duty commercial vehicle",
    "Q6719064 - Nissan Diesel Space Runner A: motor vehicle",
    "Q10859924 - Nissan Diesel UA: motor vehicle",
    "Q4387979 - Nissan Diesel Quon: Heavy-duty commercial vehicle produced by UD Trucks"
]

[
    "Q1993793 - Nissan President: Nissan President is a car manufactured by Japanese automaker Nissan."
]

[
    "Q1468193 - Nissan Cedric: car model",
    "Q7040928 - Nissan Cedric Y31: car model"
]

[
    "Q643635 - Nissan Skyline: car model from Nissan",
    "Q4999061 - Infiniti Q50: Compact executive car",
    "Q11509834 - Nissan Skyline: None",
    "Q11509836 - Nissan Skyline: None",
    "Q3342164 - Nissan Skyline (R34): Tenth-generation model of the Nissan Skyline"
]

[
    "Q403685 - Aichi Machine Industry: company",
    "Q94094 - Aichi: 1898-1966 aircraft, engine and automobile manufacturer in Japan"
]

[
    "Q122264 - Nissan Junior: car model"
]

[
    "Q11235696 - NISSAN U-CARS: None"
]

[
    "Q1132451 - Nissan Sunny: car model",
    "Q719974 - Nissan Sentra: car model from Nissan",
    "Q11509844 - Nissan Latio: Subcompact car model from Nissan",
    "Q11509831 - Nissan Sunny California: None",
    "Q28721699 - Nissan Sunny: None"
]

[
    "Q257673 - Nissan Atlas: car model",
    "Q10801450 - Nissan Cabstar: pickup trucks and light commercial vehicle",
    "Q109927063 - Nissan Atlas I: Nissan's light and medium-duty truck",
    "Q109927154 - Nissan Atlas II: Nissan's light and medium-duty truck"
]

[
    "Q20984126 - Dongguan Basketball Center: basketball arena in China"
]

[
    "Q1324018 - Nissan Bluebird: Series of automobiles manufactured by Nissan",
    "Q7040918 - Nissan Bluebird: None",
    "Q7040916 - Nissan Bluebird: four-door sedan car series launched in Japan in September 1991",
    "Q422004 - Nissan Sylphy: car model by Nissan",
    "Q10859923 - Nissan Bluebird (U12): None"
]

[
    "Q1141759 - Nissan Almera: Automobile By Nissan",
    "Q11509844 - Nissan Latio: Subcompact car model from Nissan",
    "Q2092725 - Nissan Almera Tino: car"
]

[
    "Q86674790 - Nissan Ariya: Battery-powered electric crossover SUV",
    "Q125576392 - Nissan Ariya Single Seater: None"
]

[
    "Q911323 - Nissan Leaf: compact electric hatchback manufactured by Nissan",
    "Q38278176 - Nissan Leaf (first generation): battery electric compact car",
    "Q50398548 - Nissan Leaf Nismo Concept: None",
    "Q50398550 - Nissan Leaf Nismo Concept: None"
]

[
    "Q1278086 - Nissan Murano: car model",
    "Q131822738 - Nissan Murano (Z53): fourth generation of the Nissan Murano",
    "Q11235694 - NISSAN MURANO CROSSOVER STYLE: None"
]

[
    "Q1135638 - Nissan X-Trail: automobile model series",
    "Q126424490 - Nissan X-Trail I: automobile model",
    "Q11884573 - x trail crdi: None"
]

[
    "Q1419007 - Nissan Pathfinder: SUV model from Nissan",
    "Q452035 - Nissan Terrano: SUV model from Nissan",
    "Q523437 - Nissan Terrano II: Compact SUV"
]

[
    "Q26186522 - Nissan Kicks: subcompact crossover SUV"
]

[
    "Q1993801 - Nissan Pulsar: Japanese small car",
    "Q719974 - Nissan Sentra: car model from Nissan",
    "Q18432709 - Nissan Pulsar (Europe): None",
    "Q1569101 - Nissan Pulsar GTI-R: Hot hatch model from Nissan",
    "Q1141759 - Nissan Almera: Automobile By Nissan"
]

[
    "Q87209760 - Nissan Z: seventh generation of the Nissan Z sports car",
    "Q5930093 - Nissan Z engine: motor vehicle engine",
    "Q338545 - Nissan Z-car: car model",
    "Q7041090 - Nissan ZD engine: motor vehicle engine",
    "Q109928056 - Nissan ZD30: straight-4 naturally aspirated diesel engine manufactured by Nissan"
]

[
    "Q1366053 - Nissan Fuga: car model",
    "Q1208796 - Mitsubishi Proudia: luxury car model from Mitsubishi Motors",
    "Q11509852 - Nissan Fuga: None",
    "Q1662408 - Infiniti M: Type of luxury car"
]

[
    "Q1419007 - Nissan Pathfinder: SUV model from Nissan",
    "Q452035 - Nissan Terrano: SUV model from Nissan",
    "Q50397886 - Nissan Pathfinder Concept: None"
]

[
    "Q257673 - Nissan Atlas: car model",
    "Q109927063 - Nissan Atlas I: Nissan's light and medium-duty truck",
    "Q1674936 - Nissan Atlas Max: None",
    "Q109927154 - Nissan Atlas II: Nissan's light and medium-duty truck"
]

[
    "Q26261942 - Nissan Versa: Subcompact car model from Nissan",
    "Q11509844 - Nissan Latio: Subcompact car model from Nissan",
    "Q116922573 - Nissan versa: None",
    "Q11509846 - Nissan Note (E12): Second-generation model of the Nissan Note"
]

[
    "Q1132451 - Nissan Sunny: car model",
    "Q719974 - Nissan Sentra: car model from Nissan",
    "Q18819706 - Nissan Sentra B16: None",
    "Q108537486 - Nissan Sentra B17: None"
]

[
    "Q738470 - Nissan Micra: car serie",
    "Q120752349 - Nissan Micra (K12): None",
    "Q11086837 - Nissan Micra C+C: None",
    "Q131339943 - Nissan Micra (K10): None",
    "Q131339964 - Nissan Micra (K11): None"
]

[
    "Q11509844 - Nissan Latio: Subcompact car model from Nissan",
    "Q26261942 - Nissan Versa: Subcompact car model from Nissan"
]

[
    "Q1465915 - Nissan Navara: Pickup truck model from Nissan",
    "Q105312001 - Nissan Frontier: pickup truck model from Nissan",
    "Q134119910 - Nissan Yuanye Z9: mid-size pickup truck",
    "Q107315603 - Nissan Navara (D23): Third-generation model of the Nissan Navara"
]

[
    "Q377287 - Nissan Maxima: car model",
    "Q1675830 - Nissan Cima: motor vehicle"
]

[
    "Q936668 - Nissan 370Z: car model"
]

[
    "Q15181278 - Nissan ZEOD RC: hybrid electric racing car"
]

[
    "Q926124 - Nissan Qashqai: compact crossover SUV by Nissan",
    "Q116256985 - Nissan Qashqai (J10): motor vehicle",
    "Q10337031 - Nissan Qashqai +2: None",
    "Q50397087 - Nissan Qashqai Concept: None"
]

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates


Nissan

Corporate identity

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: Nissan, Corporate identity: For many years, Nissan used a red wordmark for the company, and car badges for the "Nissan" and "Infiniti" brands.At Nissan's 2013 earnings press conference in Yokohama, Nissan unveiled "a new steel-blue logo that spells out—literally—the distinction between Nissan the company and Nissan the brand."Using a blue-gray color scheme, the new corporate logo did read NISSAN MOTOR COMPANY. Underneath were the "badge" logos for the Nissan, Infiniti and Datsun brands. Later in 2013, the Nissan "Company" logo changed to the Nissan "Corporation" logo. The latter was the logo used by Nissan Motor Co., Ltd.up to early 2020. In July 2020, Nissan introduced new corporate and brand logos, as part of an image revamp tied to theAriyalaunch. As of 2007 in Japan, Nissan sells its products with internationally recognized "Nissan" signage, using a chrome circle with "Nissan" across the front. Previously, Nissan used two dealership names called "Nissan Blue Stage"(ja:日産・ブルーステージ,Nissan Burū Sutēji), "Nissan Red Stage"(ja:日産・レッドステージ,Nissan Reddo Sutēji), and "Nissan Red and Blue Stage"(ja:日産・レッド&ブルーステージ,Nissan Reddo & Burū Sutēji), established in 1999 after forming an alliance withRenault. Renault also exported cars to Japan and were available at "Nissan Red Stage" locations, and are still available at Nissan Japanese dealerships. Nissan Red Stage was the result of combining an older sales channel of dealerships under the names "Nissan Prince Store"(ja:日産・プリンス店,Nissan Purinsu-ten), established in 1966 after the merger ofPrince Motorsby Nissan, which sold theNissan Skyline. "Nissan Satio Store"(日産・サティオ店,Nissan Satio-ten)sold cars developed from theNissan Sunnyat its introduction in 1966. The word "satio" is Latin, which meansampleorsufficient. "Nissan Cherry Store"(日産・チェリー店,Nissan Cherī-ten)was briefly known previously as "Nissan Cony Store" when they assumed operations of a smallkeimanufacturer calledAichi Machine Industry Co., Ltd. (愛知機械工業)who manufactured the "Cony", "Guppy" and"Giant"brand ofkeicars and trucks until 1970, when the network was renamed for theNissan Cherry. Nissan Blue Stage was the result of combining older sales channels, called "Nissan Store"(ja:日産店,Nissan Mise)in 1955 selling Nissan's original post-war products called theDatsun Bluebird,Datsun Sports,Datsun Truck,Datsun Cablight,Datsun Cabstar,Nissan Juniorand theNissan Patrol. Select "Nissan Store" locations were renamed "Nissan Cedric Store" when theNissan Cedricwas introduced in 1960, then renamed "Nissan Store" in 1965 and offered luxury sedans like theNissan Presidentand the former Prince Motor Company developedNissan Laurel. In 1970, Nissan also set up a separate sales chain which sold used cars including auctions, called Nissan U-Cars(ja:日産ユーズドカーセンター,Nissan Yūzudo Kā Sentā), which they still maintain. In the early days of Nissan's dealership network, Japanese consumers were directed towards specific Nissan stores for cars that were of a specific size and pricepoint. Over time as sales progressed and the Japanese automotive industry became more prolific, vehicles that were dedicated to particular stores werebadge engineered, given different names, and shared within the existing networks thereby selling the same platforms at different locations. The networks allowed Nissan to better compete with the network established earlier byToyotaat Japanese locations.
Starting in 1960, another sales distribution channel was established that sold diesel products for commercial use, calledNissan Dieseluntil the diesel division was sold in 2007 toVolvo. To encourage retail sales, Nissan passenger vehicles that were installed with diesel engines, like the Cedric, were available at Nissan Diesel locations. All cars sold at Nissan Blue Stage (1999–2005): All cars sold at Nissan Store, (1955–1999): All cars sold at Nissan Red Stage (1999–2005): All cars sold at Nissan Prince Store, Nissan Satio Store, Nissan Cherry Store (1966–1999):

Nissan

Q719974 - Nissan Sentra: car model from Nissan

Q11509844 - Nissan Latio: Subcompact car model from Nissan

Q11509831 - Nissan Sunny California: None

Nissan

Q1468193 - Nissan Cedric: car model
Q7040928 - Nissan Cedric Y31: car model

Nissan

Nissan

Q955256 - Nissan Prince Royal: Japanese limousine made for Imperial household

Q11509768 - Nissan Prince Matsumoto Sales: automobile sales and service company in Japan

Nissan

Q643635 - Nissan Skyline: car model from Nissan

Q4999061 - Infiniti Q50: Compact executive car

Q3342164 - Nissan Skyline (R34): Tenth-generation model of the Nissan Skyline

Nissan

Q27543 - Datsun: automobile brand of Nissan

Nissan

Q26847018 - Category:Nissan Cherry: Wikimedia category

Nissan

Nissan

Nissan

Q1141759 - Nissan Almera: Automobile By Nissan

Nissan

Q1419007 - Nissan Pathfinder: SUV model from Nissan

Q452035 - Nissan Terrano: SUV model from Nissan

Q523437 - Nissan Terrano II: Compact SUV

Nissan

Q1135638 - Nissan X-Trail: automobile model series

Q126424490 - Nissan X-Trail I: automobile model

Nissan

Q131822738 - Nissan Murano (Z53): fourth generation of the Nissan Murano

Q11235694 - NISSAN MURANO CROSSOVER STYLE: None

Nissan

Q50397886 - Nissan Pathfinder Concept: None

Nissan

Q926124 - Nissan Qashqai: compact crossover SUV by Nissan

Q116256985 - Nissan Qashqai (J10): motor vehicle

Q50397087 - Nissan Qashqai Concept: None

Nissan

Q1208796 - Mitsubishi Proudia: luxury car model from Mitsubishi Motors

Q1662408 - Infiniti M: Type of luxury car

Nissan

Q26186522 - Nissan Kicks: subcompact crossover SUV

Nissan

Q911323 - Nissan Leaf: compact electric hatchback manufactured by Nissan

Q38278176 - Nissan Leaf (first generation): battery electric compact car

Q50398548 - Nissan Leaf Nismo Concept: None

Q50398550 - Nissan Leaf Nismo Concept: None

Nissan

Q87209760 - Nissan Z: seventh generation of the Nissan Z sports car

Q5930093 - Nissan Z engine: motor vehicle engine

Q7041090 - Nissan ZD engine: motor vehicle engine

Q109928056 - Nissan ZD30: straight-4 naturally aspirated diesel engine manufactured by Nissan

Nissan

Q738470 - Nissan Micra: car serie
Q120752349 - Nissan Micra (K12): None
Q11086837 - Nissan Micra C+C: None
Q131339943 - Nissan Micra (K10): None
Q131339964 - Nissan Micra (K11): None

Nissan

Nissan

Nissan

Q132125644 - Nissan Altima: song by Doechii

Q636791 - Nissan Altima: car model from Nissan

Q135398086 - Nissan Altima: 2024 single by Doechii

Q135398076 - Nissan Altima: vocal track by Doechii

Nissan

Q1820396 - Nissan Titan: Fullsize pickup truck

Nissan

Nissan

Q26261942 - Nissan Versa: Subcompact car model from Nissan

Q11509846 - Nissan Note (E12): Second-generation model of the Nissan Note

Nissan

Nissan

Output: None of the candidates

Output: None of the candidates