Triple
T6118425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hippodrome d’Auteuil |
E136417
|
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 d’Auteuil, ownedBy, France Galop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: France Galop Context triple: [Hippodrome d’Auteuil, 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.
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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bec9b8c8190b3268b0ba952aae6 |
completed | March 22, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c141619c148190b0fb94e2b1458510 |
completed | March 23, 2026, 1:34 p.m. |
Created at: March 22, 2026, 4:14 p.m.