Triple
T12121467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Cloud racecourse |
E288705
|
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: [Saint-Cloud racecourse, ownedBy, France Galop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: France Galop Context triple: [Saint-Cloud racecourse, 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.
Renk France
Renk France is the French subsidiary of the German engineering company Renk AG, specializing in high-performance drive and transmission systems.
-
E.
Petty France
Petty France is a street in Westminster, central London, known for its government offices and proximity to major landmarks such as St James’s Park and Westminster Abbey.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91577a03c81909add7a5d7324a648 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f684172c81908b77daa243dc8ed8 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.