Triple

T14174593
Position Surface form Disambiguated ID Type / Status
Subject Audi Q3 E351299 entity
Predicate relatedModel P37 FINISHED
Object SEAT Ateca E225522 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: SEAT Ateca | Statement: [Audi Q3, relatedModel, SEAT Ateca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SEAT Ateca
Context triple: [Audi Q3, relatedModel, SEAT Ateca]
  • A. SEAT Ateca chosen
    The SEAT Ateca is a compact crossover SUV produced by Spanish automaker SEAT, known for its sporty styling, practical interior, and shared Volkswagen Group underpinnings.
  • B. SEAT Arona
    The SEAT Arona is a subcompact crossover SUV produced by Spanish automaker SEAT, known for its urban-friendly size, modern styling, and efficient engines.
  • C. SEAT León
    The SEAT León is a compact hatchback car produced by Spanish manufacturer SEAT, known for combining sporty styling and performance with everyday practicality.
  • D. SEAT Tarraco
    The SEAT Tarraco is a mid-size, seven-seat SUV produced by Spanish automaker SEAT, positioned as the brand’s flagship family and crossover model.
  • E. SEAT Ibiza
    The SEAT Ibiza is a popular supermini car produced by Spanish automaker SEAT, known for its compact size, practicality, and value-oriented positioning in the European market.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b7cc3081909f4fa371e1eae130 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf80a9b34819081c4ebf7429e875a completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 1:02 a.m.