Triple
T22844452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prix du Jockey Club |
E566174
|
entity |
| Predicate | ageOfRace |
P149935
|
FINISHED |
| Object | one of the oldest major races in France |
—
|
LITERAL 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: one of the oldest major races in France | Statement: [Prix du Jockey Club, ageOfRace, one of the oldest major races in France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageOfRace Context triple: [Prix du Jockey Club, ageOfRace, one of the oldest major races in France]
-
A.
raceTypeByAge
Indicates that the type or category of a race is determined or classified based on the ages of its participants.
-
B.
ageInPlay
Indicates that an entity’s age is relevant or applicable within the context of a particular play, game, or interactive scenario.
-
C.
racesAgainst
Indicates that one entity competes in a race directly against another entity.
-
D.
typicalAgeOfWinner
Indicates the age that is most commonly observed for entities that win a particular competition, award, or event.
-
E.
ageProgression
Indicates a temporal relationship where an entity’s age increases or advances over time.
- F. None of above. chosen
Provenance (4 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e8726d4819095b4d999b4172ff7 |
completed | April 29, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69eed2d117088190acbfe130d84f8627 |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb577e2081909f4a4e9c296535c0 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:36 p.m.