Triple
T37328942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip Leverhulme Prize |
E926685
|
entity |
| Predicate | numberOfPrizesPerYear |
—
|
GENERATED |
| Object | up to 30 |
—
|
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: numberOfPrizesPerYear Context triple: [Philip Leverhulme Prize, numberOfPrizesPerYear, up to 30]
-
A.
prizesAreAnnual
Indicates that the prizes are awarded or given out once every year.
-
B.
numberOfAwardsPerYear
chosen
Indicates the number of awards associated with an entity within a given year.
-
C.
maximumNumberOfLaureatesPerYear
Indicates the highest allowable or observed count of laureates associated with a given year.
-
D.
maximumNumberOfLaureatesPerEdition
Indicates the highest number of laureates that can be awarded in a single edition of a given prize or event.
-
E.
numberOfWinnersPerSeason
Indicates the relationship that specifies how many winners are associated with each individual season.
- 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_69f76eb386d88190a8d511aa11540dfc |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:16 p.m.