Triple

T3985350
Position Surface form Disambiguated ID Type / Status
Subject Citroën Berlingo E86857 entity
Predicate brand 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: [Citroën Berlingo, brand, Citroën]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Citroën
Context triple: [Citroën Berlingo, brand, 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 Rosalie
    The Citroën Rosalie is a line of early 1930s French family cars known for their streamlined styling and for bridging the gap between Citroën’s vintage models and the revolutionary Traction Avant.
  • E. Levie Citroen
    Levie Citroen was a member of the Citroën family, related to André Citroën, the founder of the French automobile manufacturer Citroën.
  • 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9dfaf28819081b547836d79b889 completed March 9, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5768c29f08190baa35f395ebee6bb completed March 14, 2026, 2:54 p.m.
Created at: March 9, 2026, 3:33 p.m.