Triple
T15590749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oklahoma State Cowboys wrestling |
E374735
|
entity |
| Predicate | conferenceTeamTitles |
P5810
|
FINISHED |
| Object | multiple Big 12 championships |
—
|
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: multiple Big 12 championships | Statement: [Oklahoma State Cowboys wrestling, conferenceTeamTitles, multiple Big 12 championships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conferenceTeamTitles Context triple: [Oklahoma State Cowboys wrestling, conferenceTeamTitles, multiple Big 12 championships]
-
A.
team2ConferenceTitles
Indicates the number of conference championship titles that the second team has won.
-
B.
team1ConferenceTitlesContext
Indicates the number of conference titles that team1 has won within a specified contextual scope (such as league, era, or competition).
-
C.
teamOfTitle
Indicates that a given title or role is associated with, or belongs to, a particular team.
-
D.
teamTitleType
Indicates the type or category of a team's title or designation within a given context.
-
E.
team1ConferenceTitles
chosen
Indicates the number of conference championship titles won by the first team in a given context or comparison.
- 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.