Triple
T18245256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prix Jean Prat |
E436932
|
entity |
| Predicate | organiser |
P4735
|
FINISHED |
| Object | France Galop |
—
|
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 Galop | Statement: [Prix Jean Prat, organiser, France Galop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: France Galop Context triple: [Prix Jean Prat, organiser, 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.
L’Aigle
L’Aigle is a small historic town in northwestern France known for its role in the Orne department and its traditional Norman character.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e6fbac8190bf252c4337f50c29 |
completed | April 19, 2026, 3:42 p.m. |
Created at: April 10, 2026, 10:33 a.m.