Triple

T20634985
Position Surface form Disambiguated ID Type / Status
Subject Haldex all-wheel-drive system E507052 entity
Predicate usedIn P98 FINISHED
Object Volvo vehicles — NE NERFINISHED

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: Volvo vehicles | Statement: [Haldex all-wheel-drive system, usedIn, Volvo vehicles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Volvo vehicles
Context triple: [Haldex all-wheel-drive system, usedIn, Volvo vehicles]
  • A. Volvo XC series
    The Volvo XC series is a line of Volvo’s premium crossover and SUV models known for their emphasis on safety, comfort, and Scandinavian design.
  • B. Volvo Cars chosen
    Volvo Cars is a Swedish automotive manufacturer known for its focus on safety, practical design, and premium vehicles.
  • C. VOLV A
    VOLV A is a class of Volvo Group shares traded on the Nasdaq Stockholm stock exchange.
  • D. Volvo V90
    The Volvo V90 is a premium mid-size estate car known for its Scandinavian design, advanced safety features, and practical yet luxurious interior.
  • E. Volvo V60
    The Volvo V60 is a premium compact estate car known for its Scandinavian design, advanced safety features, and practical yet upscale interior.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4bd4a0081908d4e97a590a33fb2 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6ad0e5fc481909e4f0dd7fb1203fc completed April 20, 2026, 10:47 p.m.
Created at: April 16, 2026, 11:42 a.m.