Triple

T4734345
Position Surface form Disambiguated ID Type / Status
Subject Peugeot 308 E105086 entity
Predicate competitor P1375 FINISHED
Object Volkswagen Golf E37797 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: Volkswagen Golf | Statement: [Peugeot 308, competitor, Volkswagen Golf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Volkswagen Golf
Context triple: [Peugeot 308, competitor, Volkswagen Golf]
  • A. Volkswagen Golf chosen
    The Volkswagen Golf is a compact car that has become one of the world’s best-selling and most influential hatchbacks since its introduction in the 1970s.
  • B. Volkswagen Polo
    The Volkswagen Polo is a popular German-made supermini car known for its solid build quality, efficient engines, and practical everyday usability.
  • C. Volkswagen Passat
    The Volkswagen Passat is a long-running mid-size family car known for its practical design, comfortable ride, and strong presence in global markets.
  • D. Volkswagen Jetta
    The Volkswagen Jetta is a compact sedan produced by the German automaker Volkswagen, known for offering a practical blend of comfort, efficiency, and European driving dynamics.
  • E. Volkswagen Scirocco
    The Volkswagen Scirocco is a sporty compact coupé produced by Volkswagen, known for its sleek design and performance-oriented character derived from the Golf platform.
  • 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_69bd43ee52048190b81a4f066534ffb3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6467a1fc819089485b4d76e0edc4 completed March 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be10b0b8d08190ad1cd262ee870f08 completed March 21, 2026, 3:29 a.m.
Created at: March 20, 2026, 1:19 p.m.