Triple

T8902349
Position Surface form Disambiguated ID Type / Status
Subject 8TRA E211958 entity
Predicate represents P129 FINISHED
Object Traton SE E38078 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: Traton SE | Statement: [8TRA, represents, Traton SE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Traton SE
Context triple: [8TRA, represents, Traton SE]
  • A. Traton chosen
    Traton is a commercial vehicle manufacturer and holding company that oversees brands like MAN and Scania within the Volkswagen Group.
  • B. Renault Trucks
    Renault Trucks is a French commercial vehicle manufacturer known for producing a wide range of trucks and heavy-duty vehicles for distribution, construction, and long-haul transport.
  • 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. Systra
    Systra is a global engineering and consulting firm specializing in mass transit and rail infrastructure projects.
  • E. Stellantis
    Stellantis is a multinational automotive manufacturing corporation formed through the merger of Fiat Chrysler Automobiles and PSA Group, producing a wide range of vehicles under brands such as Jeep, Peugeot, Citroën, and Fiat.
  • 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_69ca83918d3081909b326fa3750cb8c8 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc642a104081908df2d64e8f9ad0c8 completed April 1, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfac1846f481909aad27a6dacddba2 completed April 3, 2026, 12:01 p.m.
Created at: March 30, 2026, 6:55 p.m.