Triple

T6088682
Position Surface form Disambiguated ID Type / Status
Subject Hippodrome de Longchamp E135702 entity
Predicate operator P179 FINISHED
Object France Galop E566173 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: France Galop | Statement: [Hippodrome de Longchamp, operator, France Galop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France Galop
Context triple: [Hippodrome de Longchamp, operator, France Galop]
  • A. France Galop chosen
    France Galop is the governing body responsible for organizing and regulating thoroughbred horse racing and racecourses in France.
  • B. Franches-Montagnes horse
    The Franches-Montagnes horse is a versatile Swiss light draft and riding breed known for its strength, sure-footedness, and calm temperament.
  • C. Grand Louvetier de France
    The Grand Louvetier de France was a high-ranking royal officer of the French monarchy responsible for overseeing and organizing the king’s wolf hunts and broader control of wild game.
  • D. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • E. Lafrançaise, France
    Lafrançaise is a small commune in the Tarn-et-Garonne department of southern France, known for its rural charm and traditional French village atmosphere.
  • 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_69c0087bcc788190b20f093d3a6c60ec completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057a6f7588190b265d6005fbaf6b3 completed March 22, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c12531d764819083e1bb37d8c81a6c completed March 23, 2026, 11:34 a.m.
Created at: March 22, 2026, 4:12 p.m.