Triple

T8350062
Position Surface form Disambiguated ID Type / Status
Subject B1 E196135 entity
Predicate partOfSeries P1761 FINISHED
Object Volkswagen Passat series E38524 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 Passat series | Statement: [B1, partOfSeries, Volkswagen Passat series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Volkswagen Passat series
Context triple: [B1, partOfSeries, Volkswagen Passat series]
  • A. Volkswagen Passat chosen
    The Volkswagen Passat is a long-running mid-size family car known for its practical design, comfortable ride, and strong presence in global markets.
  • B. Volkswagen Golf
    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.
  • C. Volkswagen Passenger Cars
    Volkswagen Passenger Cars is the core automotive brand of the Volkswagen Group, producing a wide range of mass-market vehicles sold globally.
  • 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 Polo
    The Volkswagen Polo is a popular German-made supermini car known for its solid build quality, efficient engines, and practical everyday usability.
  • 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_69ca82edd63c8190b876b8465464c5fa completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80181ca48190bbf2e6a6aae80d69 completed March 31, 2026, 8:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde7b2d00c8190b7df13a0853a6374 completed April 2, 2026, 3:51 a.m.
Created at: March 30, 2026, 5:59 p.m.