Triple

T9097478
Position Surface form Disambiguated ID Type / Status
Subject L86 E218062 entity
Predicate brand P1500 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: [L86, brand, Chevrolet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chevrolet
Context triple: [L86, brand, 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 18th-century Odawa war chief best known for leading a major Native American uprising against British forces in the Great Lakes region, often called Pontiac's Rebellion.
  • D. 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.
  • E. Pontiac
    Pontiac is a city in southeast Michigan known historically as an automotive manufacturing center and the seat of Oakland County.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b7d0d48190a3b15f35bef087e3 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0181a9ae88190ab80d4e80e919f42 completed April 3, 2026, 7:42 p.m.
Created at: March 30, 2026, 7:15 p.m.