Triple

T22853613
Position Surface form Disambiguated ID Type / Status
Subject France family E566418 entity
Predicate alsoKnownAs P39 FINISHED
Object France racing family 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: France racing family | Statement: [France family, alsoKnownAs, France racing family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France racing family
Context triple: [France family, alsoKnownAs, France racing family]
  • A. France family
    The France family is a prominent American motorsports dynasty best known for founding, owning, and leading NASCAR across multiple generations.
  • B. France family (NASCAR) chosen
    The France family (NASCAR) is the founding and long-dominant family behind NASCAR, having created, owned, and led the stock car racing organization for generations.
  • C. Renault family
    The Renault family is a prominent French industrial dynasty best known for founding and controlling the Renault automobile company.
  • D. Peugeot family
    The Peugeot family is a prominent French industrial dynasty best known for founding and developing the Peugeot automobile and manufacturing brand.
  • E. Le Racing
    Le Racing is the popular nickname of RC Strasbourg Alsace, a historic French football club based in Strasbourg.
  • 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_69e2458750b481908a8e4cf4609cc6cf completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17eba65a881908c484262c3ee5212 completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:37 p.m.