Triple

T4401515
Position Surface form Disambiguated ID Type / Status
Subject City of Fordson, Michigan E93627 entity
Predicate associatedWith P37 FINISHED
Object Ford Motor Company E1133 NE FINISHED

How this triple was built (2 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 Motor Company | Statement: [City of Fordson, Michigan, associatedWith, Ford Motor Company]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ford Motor Company
Context triple: [City of Fordson, Michigan, associatedWith, Ford Motor Company]
  • A. 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.
  • B. General Motors
    General Motors is a major American multinational automotive manufacturer known for brands such as Chevrolet, GMC, Cadillac, and Buick.
  • C. Ford
    Ford is a town in the Metropolitan Borough of Sefton, Merseyside, England, forming part of the northern suburbs of Liverpool.
  • D. Ford
    Ford is a common English surname borne by numerous notable individuals, including U.S. President Gerald Ford.
  • E. Toyota Motor Corporation
    Toyota Motor Corporation is a Japanese multinational automaker renowned for its reliable vehicles, pioneering of lean manufacturing and the Toyota Production System, and global leadership in hybrid technology.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b352cf218481908d072fec58361f28 completed March 12, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b627e47ff48190b5aea21e4af773de completed March 15, 2026, 3:30 a.m.
Created at: March 12, 2026, 11:28 p.m.