Triple
T26568884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1996 NCAA Men's Division I Basketball Championship |
E666766
|
entity |
| Predicate | championshipNumberForSchool |
P114843
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [1996 NCAA Men's Division I Basketball Championship, championshipNumberForSchool, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championshipNumberForSchool Context triple: [1996 NCAA Men's Division I Basketball Championship, championshipNumberForSchool, 6]
-
A.
championshipNumberForTeam
chosen
Indicates the total number of championships that a given team has won.
-
B.
collegeChampionshipYear
Indicates the specific year in which a college team or individual won a championship title.
-
C.
collegeChampionshipTeam
Indicates that a team is the winner of a specified college-level championship competition.
-
D.
championshipNumberForFranchise
Indicates the number of championships that have been won by a given franchise.
-
E.
collegeTeamChampionships
Indicates the championships or titles that a college sports team has won.
- 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_69ee9cfa21c081909e4e36e087debfc6 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620debeb48190b7db395fb86cf8d9 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 1:56 a.m.