Triple

T23176625
Position Surface form Disambiguated ID Type / Status
Subject New York Motorama E579020 entity
Predicate featuredBrand P60713 FINISHED
Object Buick NE NERFINISHED

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: Buick | Statement: [New York Motorama, featuredBrand, Buick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buick
Context triple: [New York Motorama, featuredBrand, Buick]
  • A. Buick chosen
    Buick is an American automobile marque known for producing upscale, comfort-oriented vehicles positioned between mainstream and luxury brands.
  • B. Oldsmobile
    Oldsmobile was a historic American automobile marque known for pioneering innovations like the mass-produced Curved Dash and the Rocket V8 engine.
  • C. Cadillac
    Cadillac is a small city in northern Michigan known for its surrounding lakes, outdoor recreation, and role as a regional tourism and service hub.
  • D. Cadillac
    Cadillac is a Montreal Metro station on the Green Line serving the Mercier–Hochelaga-Maisonneuve borough in Montreal, Quebec, Canada.
  • E. Cadillac
    Cadillac is a luxury automobile brand known for its premium vehicles and long-standing association with American upscale motoring.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245fd2a388190b814c0dfa15f7148 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f6b823c8190a2d39c54e48a1001 completed April 29, 2026, 4:56 a.m.
Created at: April 17, 2026, 4:04 p.m.