Triple
T15590760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oklahoma State Cowboys wrestling |
E374735
|
entity |
| Predicate | hasHostedMajorTournaments |
P69326
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Oklahoma State Cowboys wrestling, hasHostedMajorTournaments, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHostedMajorTournaments Context triple: [Oklahoma State Cowboys wrestling, hasHostedMajorTournaments, yes]
-
A.
notableTournamentHosted
chosen
Indicates that an entity has served as the host or venue for a tournament considered notable or significant.
-
B.
numberOfOpenChampionshipsHosted
Indicates the count of Open Championship golf tournaments that have been hosted by a given entity.
-
C.
hasMajorVenue
Indicates that an entity is associated with a primary or principal venue where its main activities or events take place.
-
D.
hasHostedSport
Indicates that a place or organization has served as the venue or organizer for one or more sporting events.
-
E.
hasChampionships
Indicates that one entity possesses or has won one or more championships associated with another entity.
- 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.