Triple
T37372917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA women's basketball awards |
E927889
|
entity |
| Predicate | includesAwardType |
P26432
|
FINISHED |
| Object | player of the year award |
—
|
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: player of the year award | Statement: [NCAA women's basketball awards, includesAwardType, player of the year award]
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 (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_69f76eb820248190a5c395ca50ad002a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:16 p.m.