Triple

T829732
Position Surface form Disambiguated ID Type / Status
Subject Lancia E17936 entity
Predicate parentOrganization P254 FINISHED
Object Stellantis E2758 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: Stellantis | Statement: [Lancia, parentOrganization, Stellantis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stellantis
Context triple: [Lancia, parentOrganization, Stellantis]
  • A. Stellantis chosen
    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.
  • B. PSA Group
    PSA Group was a major French automotive manufacturer best known for producing Peugeot, Citroën, and DS vehicles before merging to form Stellantis.
  • C. Volkswagen Group
    Volkswagen Group is a major German multinational automotive manufacturer that owns brands such as Volkswagen, Audi, Porsche, and Škoda and is one of the largest car producers in the world.
  • D. Daimler AG
    Daimler AG was a major German multinational automotive corporation best known as the longtime manufacturer and corporate parent behind the Mercedes-Benz brand.
  • E. Renault
    Renault is a major French automobile manufacturer known for producing a wide range of passenger cars, commercial vehicles, and electric vehicles sold worldwide.
  • 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_69a4937c9c188190aaa216f6b466f452 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ab9b458881909aa23f0eb7cbc87f completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3b99a6c08190995ece1c1e9a54c9 completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:38 p.m.