Triple
T3962056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA Division I (women’s swimming and diving) |
E85926
|
entity |
| Predicate | teamScoringFormat |
P48244
|
FINISHED |
| Object | dual meets |
—
|
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: dual meets | Statement: [NCAA Division I (women’s swimming and diving), teamScoringFormat, dual meets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamScoringFormat Context triple: [NCAA Division I (women’s swimming and diving), teamScoringFormat, dual meets]
-
A.
teamScoring
Indicates that a team achieves a score or points in a game, match, or competitive event.
-
B.
topTryScorerTeam
Indicates that a team is the one for which a given player is the top try scorer.
-
C.
scoringType
chosen
Indicates the method or criteria by which performance, outcomes, or results are evaluated and assigned a score in a given context.
-
D.
topTryScorer
Indicates that the subject is the player who scored the highest number of tries in a given competition, season, or context.
-
E.
JetsScore
Indicates that the team named Jets scores a certain number of points in a game or event.
- 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_69aed93a96908190bcbdbfa718f155bd |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefba878a48190a2e234d775215938 |
completed | March 9, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69aef8efcf3c81908ccf61d9ce26b0c0 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:31 p.m.