Triple

T2956621
Position Surface form Disambiguated ID Type / Status
Subject Créative Technologie E79945 entity
Predicate usedBy P260 FINISHED
Object Citroën 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 | Statement: [Créative Technologie, usedBy, Citroën]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Citroën
Context triple: [Créative Technologie, usedBy, Citroën]
  • A. Citroën chosen
    Citroën is a historic French automobile manufacturer known for its innovative engineering and distinctive car designs.
  • B. 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.
  • C. Renault
    Renault is a major French automobile manufacturer known for producing a wide range of passenger cars, commercial vehicles, and electric vehicles sold worldwide.
  • D. Citroën BX
    The Citroën BX is a mid-size family car produced by the French manufacturer Citroën in the 1980s and early 1990s, known for its angular styling and hydropneumatic suspension.
  • E. 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.
  • 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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad992998f08190ac9428310983172e completed March 8, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1de92f04c8190967ec290cba891a6 completed March 11, 2026, 9:28 p.m.
Created at: March 8, 2026, 2:57 p.m.