Triple
T761777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oregon State Beavers football team |
E16085
|
entity |
| Predicate | hasWonBowlGame |
P18823
|
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: [Oregon State Beavers football team, hasWonBowlGame, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonBowlGame Context triple: [Oregon State Beavers football team, hasWonBowlGame, yes]
-
A.
superBowlWin
Indicates that a team has won a Super Bowl championship game.
-
B.
wonSuperBowlWith
Indicates that one entity (typically a player, coach, or team member) achieved a Super Bowl victory while being part of a specific team.
-
C.
hasWonNCAATitleIn
Indicates that an entity has won an NCAA championship title in a specified sport, category, or year.
-
D.
appearedInSuperBowl
Indicates that the entity participated as a player, coach, or key contributor in at least one Super Bowl game.
-
E.
superBowlChampionWith
Indicates that one entity is the Super Bowl champion associated with the other entity (such as a specific season, year, or team).
- 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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a682e7d081909c9cd7839a49fb0b |
completed | March 1, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69a4a5048a8081908d0542214142664a |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a58c0a84819094f07658dc651b36 |
completed | March 1, 2026, 8:46 p.m. |
Created at: March 1, 2026, 7:37 p.m.