Triple

T8929143
Position Surface form Disambiguated ID Type / Status
Subject Audi R8 E212607 entity
Predicate category P87 FINISHED
Object Audi vehicles E37745 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 vehicles | Statement: [Audi R8, category, Audi vehicles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Audi vehicles
Context triple: [Audi R8, category, Audi vehicles]
  • A. Audi Q series
    The Audi Q series is a lineup of luxury SUV and crossover models produced by Audi, known for combining premium interiors, advanced technology, and all-wheel-drive performance.
  • B. Audi chosen
    Audi is a German luxury automobile manufacturer known for its premium vehicles, advanced engineering, and signature quattro all-wheel-drive technology.
  • C. Audi A4
    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.
  • D. Audi A6
    The Audi A6 is a mid-size luxury executive car known for its refined design, advanced technology, and balanced performance within Audi’s lineup.
  • 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_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.