Triple

T23350426
Position Surface form Disambiguated ID Type / Status
Subject Dongfeng Motor Corporation E591989 entity
Predicate partner P1136 FINISHED
Object Renault S.A. 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: Renault S.A. | Statement: [Dongfeng Motor Corporation, partner, Renault S.A.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Renault S.A.
Context triple: [Dongfeng Motor Corporation, partner, Renault S.A.]
  • A. Renault chosen
    Renault is a major French automobile manufacturer known for producing a wide range of passenger cars, commercial vehicles, and electric vehicles sold worldwide.
  • 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. PSA Group
    PSA Group was a major French automotive manufacturer best known for producing Peugeot, Citroën, and DS vehicles before merging to form Stellantis.
  • D. Citroën
    Citroën is a historic French automobile manufacturer known for its innovative engineering and distinctive car designs.
  • E. Renault Samsung Motors
    Renault Samsung Motors is a South Korean automobile manufacturer that operates as Renault's local brand, producing and selling passenger vehicles primarily for the Korean market.
  • 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19a132da08190b30de610d34c96cc completed April 29, 2026, 5:41 a.m.
Created at: April 17, 2026, 5:19 p.m.