Triple

T14192608
Position Surface form Disambiguated ID Type / Status
Subject Hippodrome de Vincennes E351749 entity
Predicate ownedBy P347 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 Vincennes, ownedBy, France Galop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France Galop
Context triple: [Hippodrome de Vincennes, ownedBy, 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. de France
    "de France" is a dynastic surname historically used by members of the French royal family, particularly the legitimate children of reigning kings of France.
  • D. 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.
  • E. Renk France
    Renk France is the French subsidiary of the German engineering company Renk AG, specializing in high-performance drive and transmission systems.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e0a52081908213aa6e548d4418 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194951d481909a8e81f2d09feefa completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:04 a.m.