Triple

T8720583
Position Surface form Disambiguated ID Type / Status
Subject Tourangeau E206999 entity
Predicate hasAdjectiveForm P64799 FINISHED
Object Tourangeau E206999 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: Tourangeau | Statement: [Tourangeau, hasAdjectiveForm, Tourangeau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tourangeau
Context triple: [Tourangeau, hasAdjectiveForm, Tourangeau]
  • A. Tourangeau chosen
    Tourangeau is the French term for a person from the city of Tours in central France, particularly associated with the historic Touraine region.
  • B. Guérard
    Guérard is a small commune in the Seine-et-Marne department in north-central France, known for its rural character and proximity to the Paris metropolitan area.
  • C. Le Fayet
    Le Fayet is a village in the French Alps that serves as a gateway and lower terminus for the historic Tramway du Mont-Blanc mountain railway.
  • D. Cazeneuve
    Cazeneuve is a French surname most notably borne by Bernard Cazeneuve, a prominent French politician and former Prime Minister of France.
  • E. Marchais
    Marchais is a French surname most notably borne by Georges Marchais, a prominent 20th-century French communist politician.
  • 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d02a52c81909f93622ae6920b80 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28f599a481908e93bc5b5c41296e completed April 3, 2026, 2:41 a.m.
Created at: March 30, 2026, 6:36 p.m.