Triple
T793205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA women’s basketball |
E16959
|
entity |
| Predicate | shotClockDuration |
P19202
|
FINISHED |
| Object | 30 seconds |
—
|
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: 30 seconds | Statement: [NCAA women’s basketball, shotClockDuration, 30 seconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shotClockDuration Context triple: [NCAA women’s basketball, shotClockDuration, 30 seconds]
-
A.
seasonDuration
Indicates the length of time that a particular season lasts.
-
B.
gameLength
Indicates the duration or total length of a game, typically measured in time or turns.
-
C.
game3Duration
Indicates the length of time that the third game in a sequence lasts or is scheduled to last.
-
D.
decidedInRegulationTime
Indicates that the outcome of a contest or match was determined within the standard allotted duration, without requiring any extra time or tiebreak procedures.
-
E.
sessionLength
Indicates the duration of time that a particular session lasts from start to end.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a79a3bbc81908d818c50a366b0f8 |
completed | March 1, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69a4a510f61881909175d6d8719246cd |
completed | March 1, 2026, 8:44 p.m. |
| PDg | Predicate description generation | batch_69a4a5edd0248190bd0240e5b3e67c71 |
completed | March 1, 2026, 8:47 p.m. |
Created at: March 1, 2026, 7:38 p.m.