Triple

T8928987
Position Surface form Disambiguated ID Type / Status
Subject Audi S models E212604 entity
Predicate exampleModel P67300 FINISHED
Object Audi SQ7 E217487 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: Audi SQ7 | Statement: [Audi S models, exampleModel, Audi SQ7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Audi SQ7
Context triple: [Audi S models, exampleModel, Audi SQ7]
  • A. Audi Q7 chosen
    The Audi Q7 is a luxury midsize SUV known for its premium interior, advanced technology, and refined all-wheel-drive performance.
  • B. Audi Q8
    The Audi Q8 is a luxury midsize crossover SUV that serves as Audi’s flagship coupe-styled SUV, combining premium features, advanced technology, and sporty performance.
  • C. Audi A7
    The Audi A7 is a luxury midsize fastback sedan known for its sleek coupe-like design, advanced technology, and strong performance within Audi’s premium lineup.
  • D. Audi A8
    The Audi A8 is a full-size luxury flagship sedan known for its advanced technology, refined comfort, and high-performance engineering.
  • E. Audi Q5
    The Audi Q5 is a compact luxury crossover SUV known for its refined interior, advanced technology, and balanced 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_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.