Triple
T37372917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA women's basketball awards |
E927889
|
entity |
| Predicate | includesAwardType |
—
|
GENERATED |
| Object | player of the year award |
—
|
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: includesAwardType Context triple: [NCAA women's basketball awards, includesAwardType, player of the year award]
-
A.
appliesToAwardType
Indicates that a rule, condition, or attribute is specifically relevant or applicable to a particular type or category of award.
-
B.
isAward
Indicates that one entity functions as an award or prize that is given or conferred to another entity.
-
C.
mayBeAwardedWith
Indicates that an entity has the potential or eligibility to receive a particular award or distinction.
-
D.
awardIncludes
Indicates that a particular award encompasses, contains, or is composed of the specified component, category, or sub-award.
-
E.
typicalAwardType
chosen
Indicates the usual or most common type or category of award associated with a given entity or context.
- 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_69f76eb820248190a5c395ca50ad002a |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:16 p.m.