Triple

T10324484
Position Surface form Disambiguated ID Type / Status
Subject Ford Pavilion (1964 New York World's Fair) E242725 entity
Predicate usedVehicleType P1776 FINISHED
Object Ford automobiles E750075 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 automobiles | Statement: [Ford Pavilion (1964 New York World's Fair), usedVehicleType, Ford automobiles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ford automobiles
Context triple: [Ford Pavilion (1964 New York World's Fair), usedVehicleType, Ford automobiles]
  • 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 Motor Company
    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. Ford vehicles chosen
    Ford vehicles are a range of automobiles produced by the Ford Motor Company, including cars, trucks, SUVs, and commercial vehicles sold worldwide.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6ce683c8190bf5385dd04bf2de8 completed April 7, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71da93b988190ad568b0677b5d344 completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:51 a.m.