Triple
T10659982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2019 NCAA Women’s Final Four |
E251196
|
entity |
| Predicate | numberOfSemifinalGames |
P90793
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [2019 NCAA Women’s Final Four, numberOfSemifinalGames, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSemifinalGames Context triple: [2019 NCAA Women’s Final Four, numberOfSemifinalGames, 2]
-
A.
numberOfSemiFinals
Indicates the count of semi-final rounds or appearances associated with an entity in a given context.
-
B.
semifinalGamesPlayedIn
Indicates that a given semifinal game took place at or within a specified location or venue.
-
C.
semifinalMatchup
Indicates that two competitors or teams are paired to compete against each other in a semifinal round of a tournament or competition.
-
D.
hasSemifinalGame
Indicates that an entity is associated with a specific game that takes place in the semifinal round of a competition or tournament.
-
E.
semiFinalCount
chosen
Indicates the number of semifinals associated with or reached in relation to a given entity.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6e0174dc4819093e577993c65ed32 |
completed | April 8, 2026, 11:09 p.m. |
| PD | Predicate disambiguation | batch_69d6dd8753108190b799ffa0c760526e |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:07 p.m.