Triple
T18318711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yibir |
E438812
|
entity |
| Predicate | ageAtBreedersCupTurfWin |
P131336
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Yibir, ageAtBreedersCupTurfWin, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageAtBreedersCupTurfWin Context triple: [Yibir, ageAtBreedersCupTurfWin, 3]
-
A.
yearOfBreedersCupJuvenileWin
Indicates the specific year in which an entity won the Breeders' Cup Juvenile race.
-
B.
championJockeyTitleEndYear
Indicates the year in which a jockey’s tenure as champion jockey came to an end.
-
C.
racedAsThreeYearOld
Indicates that the entity participated in at least one race during its three-year-old season.
-
D.
mostSuccessfulJockey
Indicates that the subject is the jockey with the highest level of success (e.g., most wins or top performance) in a given context or competition.
-
E.
tripleCrownWinner
Indicates that an entity has won all three major titles or championships that together constitute a "Triple Crown" within a particular sport or competitive domain.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa342a881909afcd995405027af |
completed | April 19, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69e44fe4ee10819086b4142444fca1f5 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:36 a.m.