Triple

T13947602
Position Surface form Disambiguated ID Type / Status
Subject Audi Q series E335430 entity
Predicate hasModel P2390 FINISHED
Object Audi Q3 E351299 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 Q3 | Statement: [Audi Q series, hasModel, Audi Q3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Audi Q3
Context triple: [Audi Q series, hasModel, Audi Q3]
  • A. Audi Q3 chosen
    The Audi Q3 is a compact luxury crossover SUV known for its premium interior, advanced technology features, and refined driving dynamics.
  • B. Audi Q2
    The Audi Q2 is a compact luxury crossover SUV known for its stylish design, premium interior, and urban-friendly size within Audi's Q lineup.
  • C. Audi Q5
    The Audi Q5 is a compact luxury crossover SUV known for its refined interior, advanced technology, and balanced performance.
  • D. Audi RS Q3
    The Audi RS Q3 is a high-performance compact luxury SUV that combines the practicality of the Q3 with Audi Sport’s powerful engines, aggressive styling, and enhanced driving dynamics.
  • E. Audi A3
    The Audi A3 is a compact premium car known for its refined interior, advanced technology, and sporty yet efficient performance within Audi’s lineup.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e12171c8190b95746bdd4845def completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1ca49a881909e77b5a2ae13265f completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:17 p.m.