Triple
T30693392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1985 NCAA Division I men’s basketball championship |
E781389
|
entity |
| Predicate | VillanovaTitleCountAfterGame |
P171304
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [1985 NCAA Division I men’s basketball championship, VillanovaTitleCountAfterGame, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: VillanovaTitleCountAfterGame Context triple: [1985 NCAA Division I men’s basketball championship, VillanovaTitleCountAfterGame, 1]
-
A.
houstonTitleCountAfterGame
Indicates the number of titles Houston has won after a specified game has been completed.
-
B.
VillanovaFreeThrowPercentage
Indicates the proportion of Villanova’s free throw attempts that are successfully made.
-
C.
VillanovaUnderdogStatus
Indicates that Villanova is considered the underdog in a particular game, matchup, or competitive context.
-
D.
homeTeamTitleCountAfterMatch
Indicates the total number of titles the home team has accumulated after the completion of the referenced match.
-
E.
VillanovaFieldGoalPercentage
Indicates the percentage of Villanova’s field goal attempts that are successfully made.
- 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_69f224ab24e08190991d6edb6df58e8b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d1a37e081908d1d86b90ff502bd |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69dfbf6ac8190ba2e6fc0adfd8b73 |
completed | May 3, 2026, 12:59 a.m. |
Created at: April 29, 2026, 8:33 p.m.