Triple

T16179991
Position Surface form Disambiguated ID Type / Status
Subject Kia Stonic E392658 entity
Predicate competitor P1375 FINISHED
Object Renault Captur E392657 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: Renault Captur | Statement: [Kia Stonic, competitor, Renault Captur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Renault Captur
Context triple: [Kia Stonic, competitor, Renault Captur]
  • A. Renault Captur chosen
    The Renault Captur is a compact crossover SUV known for its stylish design, urban-friendly size, and practical interior, positioned in the popular small SUV segment.
  • B. Peugeot 3008
    The Peugeot 3008 is a compact crossover SUV known for its distinctive design, practical interior, and advanced technology features.
  • C. Citroën C-Crosser
    The Citroën C-Crosser is a compact crossover SUV produced by the French automaker Citroën, sharing its platform with the Mitsubishi Outlander and Peugeot 4007.
  • D. Citroën C3 Aircross
    The Citroën C3 Aircross is a subcompact crossover SUV known for its distinctive styling, practical interior, and focus on comfort within Citroën’s small car lineup.
  • E. Peugeot 2008
    The Peugeot 2008 is a subcompact crossover SUV produced by the French automaker Peugeot, known for its urban-friendly size, modern styling, and efficient engines.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205b88b481908ecdd8d663dc668b completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a000ecd897c81908cbea306c9f95da3 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:02 a.m.