Triple
T15261025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kauto Star |
E364773
|
entity |
| Predicate | numberOfWinsInCheltenhamGoldCup |
P27026
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Kauto Star, numberOfWinsInCheltenhamGoldCup, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWinsInCheltenhamGoldCup Context triple: [Kauto Star, numberOfWinsInCheltenhamGoldCup, 2]
-
A.
championJockeyTitleEndYear
Indicates the year in which a jockey’s tenure as champion jockey came to an end.
-
B.
numberOfAustralianChampionships
Indicates the count of Australian Championships that an entity has won or holds.
-
C.
EpsomDerbyWinningTrainer
Indicates that the subject is the trainer who trained the winning horse of the Epsom Derby in the specified year or event.
-
D.
wonLeagueCup
Indicates that a team or competitor achieved victory in a specific league cup competition or tournament.
-
E.
numberOfWins
chosen
Indicates the count of times an entity has achieved victory in a relevant context or competition.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084e85a08190b8e63598b9f6a535 |
completed | April 15, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69deca8d1bd48190a4b94f29b425e335 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:14 a.m.