Triple

T8350103
Position Surface form Disambiguated ID Type / Status
Subject Volkswagen Passat B2 E196136 entity
Predicate relatedModel P37 FINISHED
Object Audi 80 (B2) E728804 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 80 (B2) | Statement: [Volkswagen Passat B2, relatedModel, Audi 80 (B2)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Audi 80 (B2)
Context triple: [Volkswagen Passat B2, relatedModel, Audi 80 (B2)]
  • A. Audi 80 chosen
    The Audi 80 is a compact executive car produced by the German automaker Audi from the early 1970s to the mid-1990s, known for its solid build quality and serving as the basis for later models like the Audi A4.
  • B. 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.
  • C. 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.
  • D. 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.
  • 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_69ca82edd63c8190b876b8465464c5fa completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80181ca48190bbf2e6a6aae80d69 completed March 31, 2026, 8:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce1cfe284081909410e023c44c7472 completed April 2, 2026, 7:38 a.m.
Created at: March 30, 2026, 5:59 p.m.