Triple
T3854562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA women's volleyball |
E85380
|
entity |
| Predicate | decidingSetWinCondition |
P20842
|
FINISHED |
| Object | 15 points with 2-point margin |
—
|
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: 15 points with 2-point margin | Statement: [NCAA women's volleyball, decidingSetWinCondition, 15 points with 2-point margin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decidingSetWinCondition Context triple: [NCAA women's volleyball, decidingSetWinCondition, 15 points with 2-point margin]
-
A.
conditionOfVictory
chosen
Indicates the specific circumstances or criteria under which a participant is considered to have won.
-
B.
decidingGameWinner
Indicates that an event, action, or process determines which participant is the winner of a game.
-
C.
decidingGameNumber
Indicates the specific game in a series whose outcome determines the overall winner of the series.
-
D.
decidingMatchFor
Indicates a relationship where one entity is chosen or determined as the appropriate or final match for another entity among possible alternatives.
-
E.
numberOfWinsRequired
Indicates the specific count of wins an entity must achieve to meet a defined goal, threshold, or condition.
- 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec05ec4c8190bd5e5463163712dc |
completed | March 9, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69aee752c8a48190a670f73ed0bf1e61 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:19 p.m.