Triple
T8678979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campbell Trophy |
E205984
|
entity |
| Predicate | hasWinnerRole |
P34092
|
FINISHED |
| Object | Western Conference champion |
—
|
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: Western Conference champion | Statement: [Campbell Trophy, hasWinnerRole, Western Conference champion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWinnerRole Context triple: [Campbell Trophy, hasWinnerRole, Western Conference champion]
-
A.
hasWinnerType
chosen
Indicates that an entity has a specific type or category of winner associated with it.
-
B.
mainWinner
Indicates that one entity is the primary or overall winner in a competition, contest, or comparative outcome relative to others.
-
C.
gameWinningPlayer
Indicates which player secured the decisive outcome that resulted in winning the game.
-
D.
game4Winner
Indicates which participant or side is the winner of the fourth game in a series or match.
-
E.
winnerState
Indicates the state or condition of an entity that has achieved victory or been declared the winner in a given 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_69ca835379688190aa06b9d98e684d58 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4ae6d19c8190be003f7901c0468d |
completed | March 31, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69cc4567b5c881908d9ec5dcfc783fac |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:32 p.m.