Triple
T12022274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2015 U.S. Open Cup Final |
E286180
|
entity |
| Predicate | winnerDetermined |
P20470
|
FINISHED |
| Object | Sporting Kansas City won 7–6 on penalties |
—
|
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: Sporting Kansas City won 7–6 on penalties | Statement: [2015 U.S. Open Cup Final, winnerDetermined, Sporting Kansas City won 7–6 on penalties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerDetermined Context triple: [2015 U.S. Open Cup Final, winnerDetermined, Sporting Kansas City won 7–6 on penalties]
-
A.
winnerState
Indicates the state or condition of an entity that has achieved victory or been declared the winner in a given context.
-
B.
winnerManager
Indicates that one entity is the manager or supervisor of another entity who is the winner in a given context or competition.
-
C.
winnerType
Indicates the category or kind of winner associated with an event, competition, or outcome.
-
D.
wonBy
chosen
Indicates that a contest, game, or competition is decided in favor of a particular participant or side.
-
E.
winnerRight
Indicates that the referenced entity is the winner on the right side or right position in a competitive or comparative context.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902b6ebbc8190b13c44a61c6f81b9 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.