Triple

T636760
Position Surface form Disambiguated ID Type / Status
Subject Citroën E16638 entity
Predicate hasModel P2390 FINISHED
Object Citroën C3 E16638 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: Citroën C3 | Statement: [Citroën, hasModel, Citroën C3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Citroën C3
Context triple: [Citroën, hasModel, Citroën C3]
  • A. Citroën chosen
    Citroën is a historic French automobile manufacturer known for its innovative engineering and distinctive car designs.
  • B. Citroën CX
    The Citroën CX is a large executive car produced by the French manufacturer Citroën from the mid-1970s to the early 1990s, renowned for its aerodynamic design and advanced hydropneumatic suspension.
  • C. Peugeot
    Peugeot is a historic French automobile manufacturer known for producing a wide range of passenger cars and commercial vehicles, now operating as a core brand within the multinational automotive group Stellantis.
  • D. Renault Master
    The Renault Master is a large light commercial van produced by the French manufacturer Renault, widely used in Europe for cargo and passenger transport.
  • E. Citroën Traction Avant
    The Citroën Traction Avant is a pioneering French automobile introduced in the 1930s, renowned for its innovative front-wheel drive, unitary body construction, and advanced engineering for its time.
  • 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ee7fdbc8190858e42bb1bfdb3ff completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5914419848190bfdc565fb9a80022 completed March 2, 2026, 1:31 p.m.
Created at: March 1, 2026, 7:35 p.m.