Triple

T23125233
Position Surface form Disambiguated ID Type / Status
Subject 1959 Motorama E577010 entity
Predicate exhibitedBrand P4908 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: [1959 Motorama, exhibitedBrand, Buick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buick
Context triple: [1959 Motorama, exhibitedBrand, 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_69e245f6c2e881909a228fdcfeb7c7d3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e53ac288190b27fe8064fb576c2 completed April 29, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:59 p.m.