Triple

T16420137
Position Surface form Disambiguated ID Type / Status
Subject DS 3 Crossback E398794 entity
Predicate segmentCompetitor P1375 FINISHED
Object Audi Q2 E766156 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 Q2 | Statement: [DS 3 Crossback, segmentCompetitor, Audi Q2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Audi Q2
Context triple: [DS 3 Crossback, segmentCompetitor, Audi Q2]
  • A. Audi Q2 chosen
    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.
  • B. Audi Q3
    The Audi Q3 is a compact luxury crossover SUV known for its premium interior, advanced technology features, and refined driving dynamics.
  • C. Audi Q5
    The Audi Q5 is a compact luxury crossover SUV known for its refined interior, advanced technology, and balanced performance.
  • D. Audi Q4 e-tron
    The Audi Q4 e-tron is a compact luxury all-electric SUV that serves as Audi’s entry-level model in its EV lineup, offering premium features and practical range.
  • E. Audi SQ3
    The Audi SQ3 is a high-performance compact luxury SUV variant of the Q3, featuring sport-tuned dynamics, more powerful engines, and distinctive S-line styling.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328f5c1bc8190a679f35bd6c0bc97 completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c6e882c81908fae034f1b75b7ee completed May 10, 2026, 8:06 a.m.
Created at: April 10, 2026, 5:09 a.m.