Triple
T12809337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1988 NCAA Division I women's basketball championship |
E306226
|
entity |
| Predicate | teamCountInTournament |
P6986
|
FINISHED |
| Object | 64 |
—
|
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: 64 | Statement: [1988 NCAA Division I women's basketball championship, teamCountInTournament, 64]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamCountInTournament Context triple: [1988 NCAA Division I women's basketball championship, teamCountInTournament, 64]
-
A.
teamCountType
Indicates how the number of teams is categorized or measured within a given context.
-
B.
numberOfPlayersPerTeam
Indicates the quantity of players that are assigned to or allowed on each team in a given context.
-
C.
numberOfFinalTournamentTeams
Indicates the total count of teams that participate in the final stage of a tournament.
-
D.
hasNumberOfTeams
chosen
Indicates the quantity of teams associated with or contained by a given entity.
-
E.
numberOfTournaments
Indicates the total count of tournaments associated with or participated in by an 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e817598819080fdd61e9d61236e |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d9640ed7448190b276e7fab649f7d2 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:31 p.m.