Triple
T1103493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Slugger Award |
E25433
|
entity |
| Predicate | hasMultipleWinnersPerPositionInLeague |
P23141
|
FINISHED |
| Object | outfield positions |
—
|
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: outfield positions | Statement: [Silver Slugger Award, hasMultipleWinnersPerPositionInLeague, outfield positions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMultipleWinnersPerPositionInLeague Context triple: [Silver Slugger Award, hasMultipleWinnersPerPositionInLeague, outfield positions]
-
A.
winnerCount
Indicates the number of entities that are designated as winners in a given context or event.
-
B.
mostWinsByPlayerCount
Indicates the maximum number of wins achieved by any single player within the considered set or context.
-
C.
winnerPlaysIn
Indicates that the entity identified as the winner of a contest or match participates in a subsequent game, round, or event.
-
D.
canBeAwardedMultipleTimes
Indicates that the associated award, honor, or recognition may be granted to the same recipient on more than one occasion.
-
E.
positionOfWinner
Indicates the relationship that identifies which entity holds the winning position or rank in a competition or contest.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9c375848190baec4d534f489616 |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b7472c848190b0643872f67084a2 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7da38888190a118ef20ce4ae9aa |
completed | March 1, 2026, 10:04 p.m. |
Created at: March 1, 2026, 7:43 p.m.