Triple

T10352895
Position Surface form Disambiguated ID Type / Status
Subject Star automobiles E243924 entity
Predicate competitor P1375 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: [Star automobiles, competitor, Chevrolet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chevrolet
Context triple: [Star automobiles, competitor, 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 is a city in southeast Michigan known historically as an automotive manufacturing center and the seat of Oakland County.
  • E. Pontiac
    Pontiac is a regional county municipality in western Quebec, Canada, known for its rural communities, forests, and location along the Ottawa River.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e949b8e88190ad933399323aed73 completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7951e65948190a25e559ba94be3c7 completed April 9, 2026, 12:01 p.m.
Created at: April 6, 2026, 11:57 a.m.