Triple
T19251665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA Division I Women’s Golf Championship |
E481405
|
entity |
| Predicate | individualScoringBasis |
P48244
|
FINISHED |
| Object | lowest total strokes |
—
|
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: lowest total strokes | Statement: [NCAA Division I Women’s Golf Championship, individualScoringBasis, lowest total strokes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: individualScoringBasis Context triple: [NCAA Division I Women’s Golf Championship, individualScoringBasis, lowest total strokes]
-
A.
individualScoring
Indicates that a specific individual receives or is assigned a particular score or evaluation in a given context.
-
B.
isPartOfScoreBy
Indicates that something constitutes a component or segment within a larger score or musical composition.
-
C.
isScoreFor
Indicates that one value represents the score or result associated with a particular entity, event, or performance.
-
D.
scoringType
chosen
Indicates the method or criteria by which performance, outcomes, or results are evaluated and assigned a score in a given context.
-
E.
scoringDetail
Indicates a detailed breakdown of how a score was derived, including specific components, criteria, or events contributing to the overall score.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb30bf6c819094c44aceb544a023 |
completed | April 20, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69e4dd002d00819088b625056edfb74e |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:28 p.m.