Triple

T8929208
Position Surface form Disambiguated ID Type / Status
Subject TDI engines E212609 entity
Predicate usedIn P98 FINISHED
Object Volkswagen passenger cars E196132 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 passenger cars | Statement: [TDI engines, usedIn, Volkswagen passenger cars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Volkswagen passenger cars
Context triple: [TDI engines, usedIn, Volkswagen passenger cars]
  • A. Volkswagen Passenger Cars chosen
    Volkswagen Passenger Cars is the core automotive brand of the Volkswagen Group, producing a wide range of mass-market vehicles sold globally.
  • B. 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.
  • C. 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.
  • D. Volkswagen Group platforms
    Volkswagen Group platforms are standardized vehicle architectures used across the company’s various brands and models to streamline design, production, and component sharing.
  • E. Volkswagen ID series
    The Volkswagen ID series is a line of fully electric vehicles developed by Volkswagen as part of its next-generation, zero-emission mobility strategy.
  • 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_69ca8395c438819087d7cb844ab5990c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc667470308190a75ba63de803e3a2 completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba5e887c8190851f2fb533653c6e completed April 3, 2026, 1:02 p.m.
Created at: March 30, 2026, 6:57 p.m.