Triple

T4529811
Position Surface form Disambiguated ID Type / Status
Subject Volkswagen ID.3 E106266 entity
Predicate predecessor P97 FINISHED
Object Volkswagen e-Golf E194971 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 e-Golf | Statement: [Volkswagen ID.3, predecessor, Volkswagen e-Golf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Volkswagen e-Golf
Context triple: [Volkswagen ID.3, predecessor, Volkswagen e-Golf]
  • A. Volkswagen e-Golf chosen
    The Volkswagen e-Golf is an all-electric version of Volkswagen’s compact Golf hatchback, offering zero-emission driving with familiar Golf styling and practicality.
  • B. Volkswagen ID.3
    The Volkswagen ID.3 is a compact all-electric hatchback from Volkswagen’s ID family, designed as a mass-market EV successor to the Golf in Europe.
  • C. Mitsubishi i-MiEV
    The Mitsubishi i-MiEV is a compact all-electric city car from Mitsubishi Motors, recognized as one of the early mass-produced electric vehicles.
  • D. Volkswagen ID.4
    The Volkswagen ID.4 is an all-electric compact SUV designed as a mass-market EV with practical range, spacious interior, and modern technology.
  • E. Nissan Leaf
    The Nissan Leaf is a mass-market all-electric compact hatchback known for pioneering affordable zero-emission driving.
  • 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_69bd43f3d6e08190a91824f833d51bbe completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd579ba4188190b4cef6e91772f7e5 completed March 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda46101648190b0c3ca8cfe54b965 completed March 20, 2026, 7:47 p.m.
Created at: March 20, 2026, 1:03 p.m.