Triple
T3146250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WNBA 50–40–90 season recognition |
E65770
|
entity |
| Predicate | criterionFreeThrowPercentageMinimum |
P46365
|
FINISHED |
| Object | 90 |
—
|
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: 90 | Statement: [WNBA 50–40–90 season recognition, criterionFreeThrowPercentageMinimum, 90]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: criterionFreeThrowPercentageMinimum Context triple: [WNBA 50–40–90 season recognition, criterionFreeThrowPercentageMinimum, 90]
-
A.
hasBasketballLevel
Indicates that an entity possesses a specified level of skill, proficiency, or ranking in basketball.
-
B.
MVPThreePointersAttempted
Indicates the number of three-point shots attempted by the MVP in a given context or period.
-
C.
SlamDunkContestWinner
Indicates that the subject is the winner of a slam dunk contest competition.
-
D.
threePointShooterReputation
Indicates that an entity is regarded as having notable skill or effectiveness in making three-point shots.
-
E.
MVPThreePointersMade
Indicates the number of three-point field goals successfully made by the MVP in a game or season.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada598ccf08190b8817c456f38f2d7 |
completed | March 8, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfa3d9081908425aa636bb9b897 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada148e9108190b363dd0f1a94ac8e |
completed | March 8, 2026, 4:18 p.m. |
Created at: March 8, 2026, 3:05 p.m.