Triple
T15590734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oklahoma State Cowboys wrestling |
E374735
|
entity |
| Predicate | NCAATeamTitlesCount |
P24536
|
FINISHED |
| Object | more than 30 |
—
|
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: more than 30 | Statement: [Oklahoma State Cowboys wrestling, NCAATeamTitlesCount, more than 30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NCAATeamTitlesCount Context triple: [Oklahoma State Cowboys wrestling, NCAATeamTitlesCount, more than 30]
-
A.
nationalTeamTitleCount
Indicates the number of titles or championships a national team has won.
-
B.
team1ConferenceTitles
Indicates the number of conference championship titles won by the first team in a given context or comparison.
-
C.
collegeTeamChampionships
Indicates the championships or titles that a college sports team has won.
-
D.
NCAAChampionshipCount
chosen
Indicates the number of NCAA championships an entity has won.
-
E.
nationalTeamTitles
Indicates the number of titles or championships an entity has won while representing its national team.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e4b903c8190a35f9267cb38e721 |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda817e9881909b0c66fc9056f7d5 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:11 a.m.