Triple
T36308034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mauritius Turf Club |
E893992
|
entity |
| Predicate | hasNotableRacecourse |
—
|
GENERATED |
| Object | Champ de Mars Racecourse |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableRacecourse Context triple: [Mauritius Turf Club, hasNotableRacecourse, Champ de Mars Racecourse]
-
A.
hasRacecourse
chosen
Indicates that an entity possesses, contains, or is associated with a racecourse facility or track.
-
B.
notableRaceTrackDepicted
Indicates that a work or representation depicts a race track that is considered notable or significant.
-
C.
hasRacecourseFeature
Indicates that something possesses or includes a specific feature or characteristic related to a racecourse.
-
D.
hasNotableRace
Indicates that an entity is associated with a race or competition that is considered notable or significant.
-
E.
notableRaceMeeting
Indicates that there is a race meeting or event that is particularly notable or significant in relation to the subject.
- F. None of above.
Provenance (1 batch)
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_69f76e4c1b248190b10667d0213537fe |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:09 p.m.