Triple

T1903529
Position Surface form Disambiguated ID Type / Status
Subject Audi E37745 entity
Predicate notableModel P1503 FINISHED
Object Audi A4 E196133 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 A4 | Statement: [Audi, notableModel, Audi A4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Audi A4
Context triple: [Audi, notableModel, Audi A4]
  • A. Audi A4 chosen
    The Audi A4 is a compact executive car produced by the German automaker Audi, known for its refined interior, advanced technology, and available quattro all-wheel drive.
  • B. 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.
  • C. Audi Q5
    The Audi Q5 is a compact luxury crossover SUV known for its refined interior, advanced technology, and balanced performance.
  • D. Volkswagen Passat
    The Volkswagen Passat is a long-running mid-size family car known for its practical design, comfortable ride, and strong presence in global markets.
  • E. Audi TT
    The Audi TT is a compact luxury sports car known for its distinctive rounded design, agile performance, and availability in both coupe and roadster forms.
  • 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1909aec8190b3259c8f969ce81e completed March 7, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3d0d01c8190ae0c8029fead4008 completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:35 p.m.