Triple

T1903564
Position Surface form Disambiguated ID Type / Status
Subject SEAT E37746 entity
Predicate modelProduced P33799 FINISHED
Object SEAT Leon E194978 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 Leon | Statement: [SEAT, modelProduced, SEAT Leon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SEAT Leon
Context triple: [SEAT, modelProduced, SEAT Leon]
  • A. SEAT León chosen
    The SEAT León is a compact hatchback car produced by Spanish manufacturer SEAT, known for combining sporty styling and performance with everyday practicality.
  • B. 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.
  • C. SEAT
    SEAT is a Spanish automobile manufacturer known for producing affordable, stylish cars and operating as a subsidiary of the Volkswagen Group.
  • D. Peugeot 208
    The Peugeot 208 is a popular supermini hatchback produced by the French automaker Peugeot, known for its stylish design, efficient engines, and modern technology features.
  • E. Škoda Kodiaq
    The Škoda Kodiaq is a mid-size crossover SUV produced by Czech automaker Škoda, known for its spacious interior, practicality, and family-oriented design.
  • 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_69abb7c376208190bbf28504f1aac881 completed March 7, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfba998e88190a4692d3aefa09806 completed March 8, 2026, 10:43 p.m.
Created at: March 4, 2026, 7:35 p.m.