Triple

T17606248
Position Surface form Disambiguated ID Type / Status
Subject Peugeot 1007 E428838 entity
Predicate relatedModel P37 FINISHED
Object Citroën C2 NE NERFINISHED

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: Citroën C2 | Statement: [Peugeot 1007, relatedModel, Citroën C2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Citroën C2
Context triple: [Peugeot 1007, relatedModel, Citroën C2]
  • A. Citroën C2 chosen
    The Citroën C2 is a small three-door supermini car produced by the French manufacturer Citroën in the 2000s, known for its compact dimensions and youthful, sporty styling.
  • B. Citroën C1
    The Citroën C1 is a compact city car produced by the French automaker Citroën, known for its small size, efficiency, and urban-friendly design.
  • C. Citroën C3
    The Citroën C3 is a supermini car produced by the French manufacturer Citroën, known for its distinctive styling and practical, city-friendly design.
  • D. Renault Twingo
    The Renault Twingo is a popular city car introduced in the early 1990s, known for its compact size, distinctive styling, and practical urban-focused design.
  • E. Citroën Jumpy
    The Citroën Jumpy is a light commercial van produced by Citroën, widely used in Europe for cargo and passenger transport and known for its multiple generations and shared platform with other PSA/Fiat vans.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46c4c06a88190a0be2dec3d6056c4 completed April 19, 2026, 5:46 a.m.
Created at: April 10, 2026, 5:51 a.m.