Triple
T23530044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2022 NCAA Division I women’s basketball tournament |
E576537
|
entity |
| Predicate | firstFourNumberOfTeams |
P96366
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [2022 NCAA Division I women’s basketball tournament, firstFourNumberOfTeams, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFourNumberOfTeams Context triple: [2022 NCAA Division I women’s basketball tournament, firstFourNumberOfTeams, 8]
-
A.
firstFourFormat
Indicates that the first four characters of a value follow or match a specified format or pattern.
-
B.
numberOfFinalFourTeams
Indicates the count of teams that reached the Final Four stage in a given tournament or competition.
-
C.
hasNumberOfTeams
Indicates the quantity of teams associated with or contained by a given entity.
-
D.
qualifiedTeamsCount
chosen
Indicates the number of teams that have successfully met the criteria to qualify for a given stage, event, or competition.
-
E.
formerNumberOfTeams
Indicates the number of teams that an entity previously had before a change or reorganization.
- 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_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ac7759e88190aea55c65e24c081f |
completed | April 29, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69f1189d75b48190a1c01928a993c9fb |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:09 p.m.