Triple
T32404274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulsa Roughnecks |
E828033
|
entity |
| Predicate | defeatedIn1983SoccerBowl |
P174040
|
FINISHED |
| Object | Toronto Blizzard |
—
|
NE NERFINISHED |
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: Toronto Blizzard | Statement: [Tulsa Roughnecks, defeatedIn1983SoccerBowl, Toronto Blizzard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defeatedIn1983SoccerBowl Context triple: [Tulsa Roughnecks, defeatedIn1983SoccerBowl, Toronto Blizzard]
-
A.
opponentTeamIn1993WalkOff
Indicates the team that was the opposing side in a walk-off game that occurred in 1993.
-
B.
roseBowlOpponentForWinner
Indicates the team that was defeated by the winning team in the Rose Bowl game.
-
C.
superBowlIIIOpponent
Indicates the opposing team that a given team faced in Super Bowl III.
-
D.
bowlGame
Indicates that the relationship or event involves a postseason college football bowl game in which a team participates or that is associated with an entity.
-
E.
MLS CupFinalLoser
Indicates the team that lost in the final match of a given MLS Cup competition.
- 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_69f34919342c8190a4c3bf35a90d4e58 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c2451e108190a73ccfdc99203d55 |
completed | May 3, 2026, 3:34 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
| PDg | Predicate description generation | batch_69f6bb344bb48190a8089f29c0063ded |
completed | May 3, 2026, 3:04 a.m. |
Created at: May 1, 2026, 12:53 a.m.