Triple

T9256121
Position Surface form Disambiguated ID Type / Status
Subject SEAT Arona E222447 entity
Predicate relatedModel P37 FINISHED
Object SEAT Ibiza E212621 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 Ibiza | Statement: [SEAT Arona, relatedModel, SEAT Ibiza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SEAT Ibiza
Context triple: [SEAT Arona, relatedModel, SEAT Ibiza]
  • A. SEAT Ibiza chosen
    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.
  • 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 127
    SEAT 127 is a Spanish-built supermini car produced by SEAT under license from Fiat, closely based on the Fiat 127 and popular in Spain during the 1970s and early 1980s.
  • E. SEAT Toledo
    The SEAT Toledo is a compact family car produced by Spanish automaker SEAT, known for sharing its underpinnings with other Volkswagen Group models.
  • 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_69ca841e4cd481908e738c74e958eaea completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd06b4e2048190af0d65b904677c36 completed April 1, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09be75fd88190b6e99b0884dcc14c completed April 4, 2026, 5:04 a.m.
Created at: March 30, 2026, 7:32 p.m.