Triple
T122132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oregon State Beavers athletics |
E2469
|
entity |
| Predicate | hasWonNCAATitleCountBaseball |
P5074
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Oregon State Beavers athletics, hasWonNCAATitleCountBaseball, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonNCAATitleCountBaseball Context triple: [Oregon State Beavers athletics, hasWonNCAATitleCountBaseball, 3]
-
A.
worldSeriesTitles
Indicates the number of World Series championship titles an entity (typically a baseball team) has won.
-
B.
hasChampionships
Indicates that one entity possesses or has won one or more championships associated with another entity.
-
C.
WorldSeriesChampion
Indicates that a team or individual has won the championship title in a given season of the World Series.
-
D.
worldSeriesTeams
Indicates a relationship where the specified teams are the ones that competed in a particular World Series event.
-
E.
NCAATournamentAppearance
Indicates that an entity has participated in at least one NCAA basketball tournament.
- 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_69a2506c5428819085c28a8884790e29 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NER | Named-entity recognition | batch_69a25739ef28819093f3f0e6bb670201 |
completed | Feb. 28, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69a2564928208190966a619680a0d6e2 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a256c72f6c81909b619b90d829d86e |
completed | Feb. 28, 2026, 2:45 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.