Triple
T38064062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sha Tin Racecourse |
E950422
|
entity |
| Predicate | hasApproximateNumberOfRaceDaysPerSeason |
P55681
|
FINISHED |
| Object | about 50 |
—
|
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: about 50 | Statement: [Sha Tin Racecourse, hasApproximateNumberOfRaceDaysPerSeason, about 50]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateNumberOfRaceDaysPerSeason Context triple: [Sha Tin Racecourse, hasApproximateNumberOfRaceDaysPerSeason, about 50]
-
A.
numberOfRaces
chosen
Indicates the total count of races associated with a given entity or event.
-
B.
hasRaceSession
Indicates that an entity is associated with, participates in, or is scheduled for a specific race session.
-
C.
hasNightRaces
Indicates that the subject hosts or includes races that take place at night.
-
D.
raceNumberInSeason
Indicates the ordinal position of a specific race within the sequence of races in a given season.
-
E.
racingPeriod
Indicates the time span during which a racing event or competition takes place.
- F. None of above.
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_69f76f01e63c819093b6012fc974f35a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe8ddf70e48190a917eb9e8f7b6966 |
completed | May 9, 2026, 1:29 a.m. |
| PD | Predicate disambiguation | batch_69fe87ef94dc81909bb00ec8d6de9bcd |
completed | May 9, 2026, 1:03 a.m. |
Created at: May 3, 2026, 4:21 p.m.