Triple

T16550771
Position Surface form Disambiguated ID Type / Status
Subject DS 7 E402064 entity
Predicate competitor P1375 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: [DS 7, competitor, Audi Q3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Audi Q3
Context triple: [DS 7, competitor, 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 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34fc451dc8190b571d5010f4017f4 completed April 18, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067b6ca44819085145eb48356e7b4 completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:15 a.m.