Triple
T34962296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1989 NCAA Division I women's basketball championship |
E1008290
|
entity |
| Predicate | finalFourCount_LouisianaTech |
P197494
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [1989 NCAA Division I women's basketball championship, finalFourCount_LouisianaTech, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalFourCount_LouisianaTech Context triple: [1989 NCAA Division I women's basketball championship, finalFourCount_LouisianaTech, 7]
-
A.
finalFourCount_Auburn
Indicates the number of times Auburn’s men’s basketball team has reached the NCAA Tournament Final Four.
-
B.
finalFourCount_Tennessee
Indicates the number of times Tennessee has reached the NCAA basketball Final Four.
-
C.
NCAAFinalFourAppearance
Indicates that a college football team has reached the semifinal round (final four teams) of the NCAA postseason championship.
-
D.
finalFourTeams
Indicates that the related entities are the teams that have advanced to the semifinal round (final four) of a tournament or competition.
-
E.
finalFourState
Indicates that a team or participant reached the semifinal round (Final Four) of a tournament held in a particular state.
- F. None of above. chosen
Provenance (4 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_69f76dc69564819099e9e78aed6ff0a6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe96c2647c819082989f11e1ae3d35 |
completed | May 9, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69fe928615448190af939e5a94be55bb |
completed | May 9, 2026, 1:48 a.m. |
| PDg | Predicate description generation | batch_69fe96c0b760819093737292d33df165 |
completed | May 9, 2026, 2:06 a.m. |
Created at: May 3, 2026, 4 p.m.