Triple
T19840621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WNBA games |
E476715
|
entity |
| Predicate | freeThrowPoints |
P137533
|
FINISHED |
| Object | 1 point |
—
|
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: 1 point | Statement: [WNBA games, freeThrowPoints, 1 point]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: freeThrowPoints Context triple: [WNBA games, freeThrowPoints, 1 point]
-
A.
freeThrowShooting
Indicates the action of attempting or performing a free throw in basketball.
-
B.
freeThrowStrugglesTeam
Indicates that a team has difficulty or performs poorly in making free throws.
-
C.
freeThrowStrugglesDescription
Indicates difficulties or challenges an entity experiences when attempting or performing free throws.
-
D.
singleSeasonFreeThrowPercentage
Indicates the percentage of free throws successfully made by an entity during a single season.
-
E.
careerFreeThrowPercentage
Indicates the proportion of free throws a player has successfully made over their entire career, expressed as a percentage.
- F. None of above. chosen
Provenance (4 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6580576748190b85e234b01209ae7 |
completed | April 20, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69e537e21d2881909b1be82f02b99d40 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:51 p.m.