Triple

T634317
Position Surface form Disambiguated ID Type / Status
Subject Stellantis N.V. E15988 entity
Predicate ownsBrand P1500 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: [Stellantis N.V., ownsBrand, Citroën]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Citroën
Context triple: [Stellantis N.V., ownsBrand, 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. 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.
  • D. Citroën C5
    The Citroën C5 is a mid-size family car produced by the French manufacturer Citroën, known for its comfortable ride and distinctive styling.
  • E. Citroën C4
    The Citroën C4 is a compact family car produced by the French automaker Citroën, known for its distinctive styling and comfort-focused 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ee4ee8481908ad45405e3f3835c completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a65e30cdbc819085f3c22f2e5ebb88 completed March 3, 2026, 4:06 a.m.
Created at: March 1, 2026, 7:35 p.m.