Triple

T1342316
Position Surface form Disambiguated ID Type / Status
Subject Chevrolet Trailblazer E28492 entity
Predicate manufacturer P490 FINISHED
Object Chevrolet E4515 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: Chevrolet | Statement: [Chevrolet Trailblazer, manufacturer, Chevrolet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chevrolet
Context triple: [Chevrolet Trailblazer, manufacturer, Chevrolet]
  • A. Chevrolet chosen
    Chevrolet is a major American automobile marque known for producing a wide range of affordable cars, trucks, and SUVs.
  • B. Buick
    Buick is an American automobile marque known for producing upscale, comfort-oriented vehicles positioned between mainstream and luxury brands.
  • C. Pontiac
    Pontiac was an American automobile marque known for its performance-oriented cars and sporty image, produced by General Motors until its discontinuation in 2010.
  • D. Pontiac
    Pontiac is a city in southeast Michigan known historically as an automotive manufacturing center and the seat of Oakland County.
  • E. Oldsmobile
    Oldsmobile was a historic American automobile marque known for pioneering innovations like the mass-produced Curved Dash and the Rocket V8 engine.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c2174d048190a6e9380df302265f completed March 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad3083a3748190b2404ef5edf90fd7 completed March 8, 2026, 8:17 a.m.
Created at: March 1, 2026, 7:56 p.m.