Triple
T23870227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Diego Toreros baseball |
E592704
|
entity |
| Predicate | hasProducedAll-Americans |
P81680
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [San Diego Toreros baseball, hasProducedAll-Americans, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProducedAll-Americans Context triple: [San Diego Toreros baseball, hasProducedAll-Americans, true]
-
A.
hasProducedAllAmericans
chosen
Indicates that an entity (such as a team, school, or organization) has produced or been associated with all individuals designated as All-Americans within a specified context or period.
-
B.
hasAcademicAllAmericans
Indicates that an institution or team possesses one or more individuals who have been recognized as Academic All-Americans.
-
C.
numberOfTimesAllAmerican
Indicates how many times an entity has received All-American honors or recognition.
-
D.
hasProducedPlayersFor
Indicates that one entity has been the source or origin of players who go on to be associated with, or participate for, another entity.
-
E.
hasConsensusAllAmericans
Indicates that there is unanimous or near-unanimous agreement among all Americans regarding a particular issue, statement, or decision.
- 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_69e25d23a5c88190ae3999c70ca15e08 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1cae7c7f081909f6224f6f8207763 |
completed | April 29, 2026, 9:09 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:14 p.m.