Triple

T10325153
Position Surface form Disambiguated ID Type / Status
Subject Ford Special Vehicle Team E242742 entity
Predicate vehicleBrand P66170 FINISHED
Object Ford E1133 NE FINISHED

How this triple was built (3 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: [Ford Special Vehicle Team, vehicleBrand, Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ford
Context triple: [Ford Special Vehicle Team, vehicleBrand, Ford]
  • A. Ford
    Ford is a common English surname borne by numerous notable individuals, including U.S. President Gerald Ford.
  • B. Ford
    Ford is a town in the Metropolitan Borough of Sefton, Merseyside, England, forming part of the northern suburbs of Liverpool.
  • 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 Motor Company chosen
    Ford Motor Company is a major American automobile manufacturer, founded by Henry Ford, known for pioneering assembly-line mass production and producing iconic vehicles like the Model T and F-Series trucks.
  • E. General Motors
    General Motors is a major American multinational automotive manufacturer known for brands such as Chevrolet, GMC, Cadillac, and Buick.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: vehicleBrand
Context triple: [Ford Special Vehicle Team, vehicleBrand, Ford]
  • A. carManufacturer chosen
    Indicates that one entity is the company that produces or manufactures the car represented by the other entity.
  • B. vehicleName
    Indicates the specific name or designation assigned to a vehicle.
  • C. fieldedCarBrand
    Indicates that a particular car brand has been entered, deployed, or represented (e.g., in a race, event, or lineup) by some agent or organization.
  • D. carModel
    Indicates the specific model designation of a car within a particular make or brand.
  • E. engineBrand
    Indicates that one entity is the brand or manufacturer of the engine used by another entity.
  • F. None of above.

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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7ccb7ec8190a538cf279e48116e completed April 7, 2026, 10:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d794d34978819083ce709fa2dcaca7 completed April 9, 2026, noon
PD Predicate disambiguation batch_69d4d1f64a648190a79980d647898eb0 completed April 7, 2026, 9:44 a.m.
Created at: April 6, 2026, 11:51 a.m.