Triple

T14330186
Position Surface form Disambiguated ID Type / Status
Subject Audi Q4 e-tron E355324 entity
Predicate relatedTo P37 FINISHED
Object Volkswagen ID.4 E242747 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 ID.4 | Statement: [Audi Q4 e-tron, relatedTo, Volkswagen ID.4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Volkswagen ID.4
Context triple: [Audi Q4 e-tron, relatedTo, Volkswagen ID.4]
  • A. Volkswagen ID.4 chosen
    The Volkswagen ID.4 is an all-electric compact SUV designed as a mass-market EV with practical range, spacious interior, and modern technology.
  • 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. Volkswagen ID.7
    The Volkswagen ID.7 is an all-electric mid-size liftback sedan designed as one of Volkswagen’s flagship models in its ID family of battery-electric vehicles.
  • D. 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.
  • E. Volkswagen ID. Buzz
    The Volkswagen ID. Buzz is an all-electric minivan that modernizes the iconic VW Microbus design with contemporary styling and zero-emission performance.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8c1def0081908f03cda8e84d20c0 completed April 14, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd46943dac819092f5935d9d312949 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:13 a.m.