Triple

T22401351
Position Surface form Disambiguated ID Type / Status
Subject 1982 World 600 E553767 entity
Predicate engineManufacturerOfWinningCar P148019 FINISHED
Object Ford NE NERFINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ford | Statement: [1982 World 600, engineManufacturerOfWinningCar, Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ford
Context triple: [1982 World 600, engineManufacturerOfWinningCar, Ford]
  • A. Ford
    Ford is a town in the Metropolitan Borough of Sefton, Merseyside, England, forming part of the northern suburbs of Liverpool.
  • B. Ford
    Ford is a common English surname borne by numerous notable individuals, including U.S. President Gerald Ford.
  • C. Ford
    Ford is a small village in the Arun District of West Sussex, England, known for its rural character and nearby railway station.
  • D. Ford
    Ford is a small village in Argyll and Bute, western Scotland, known for its scenic location near Loch Awe and its historic rural character.
  • E. Ford
    Ford is the NATO reporting name for the Douglas F4D Skyray, a Cold War-era U.S. Navy carrier-based jet fighter.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ford
Target entity description: Ford is a major American automobile manufacturer renowned for its mass-production innovations and long-standing success in motorsports and consumer vehicles worldwide.
  • A. Ford
    Ford is a major American automobile manufacturer known for pioneering mass production and producing iconic vehicles such as the Model T and Mustang.
  • B. Ford chosen
    Ford is a major American automobile manufacturer known for pioneering assembly-line mass production and producing iconic vehicles such as the Model T and the F-Series trucks.
  • C. Ford
    Ford is a common English surname borne by numerous notable individuals, including U.S. President Gerald Ford.
  • D. Ford
    Ford is a town in the Metropolitan Borough of Sefton, Merseyside, England, forming part of the northern suburbs of Liverpool.
  • E. Ford
    Ford is a member of the UDF Special Forces, an elite military unit known for undertaking high-risk, specialized operations.
  • F. None of above.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: engineManufacturerOfWinningCar
Context triple: [1982 World 600, engineManufacturerOfWinningCar, Ford]
  • A. championshipWinningCar
    Indicates that a car is the specific vehicle that won a particular championship.
  • B. winningManufacturer
    Indicates that a manufacturer is the one that won a particular competition, contract, award, or selection process.
  • C. racedForManufacturer
    Indicates that an individual competed in races as a driver representing a particular manufacturer.
  • D. carManufacturer
    Indicates that one entity is the company that produces or manufactures the car represented by the other entity.
  • E. manufacturedBy
    Indicates that an item or product is produced or created by a specific manufacturer or maker.
  • F. None of above. chosen

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b4a96c8190838f5dda21c4d853 completed April 29, 2026, 1:02 a.m.
PD Predicate disambiguation batch_69e8989495bc81909d2699fce5992e28 completed April 22, 2026, 9:44 a.m.
PDg Predicate description generation batch_69e8aa39e3388190b659d59948ebf3e6 completed April 22, 2026, 11 a.m.
Created at: April 16, 2026, 8:46 p.m.