Triple
T15261027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kauto Star |
E364773
|
entity |
| Predicate | numberOfWinsInBetfairChase |
P117817
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Kauto Star, numberOfWinsInBetfairChase, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWinsInBetfairChase Context triple: [Kauto Star, numberOfWinsInBetfairChase, 4]
-
A.
permanentReturnToPimlico
Indicates a lasting relocation or re-establishment to Pimlico, implying the subject returns there to stay indefinitely rather than temporarily.
-
B.
raceWins
Indicates that one participant wins or finishes ahead of another in a race or competitive event.
-
C.
championJockeyTitleEndYear
Indicates the year in which a jockey’s tenure as champion jockey came to an end.
-
D.
winnerLaps
Indicates that one participant completed more laps than another, thereby winning based on lap count.
-
E.
winnerCount
Indicates the number of entities that are designated as winners in a given context or event.
- 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_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. |
| PDg | Predicate description generation | batch_69decf2ca6148190967c319728ec3661 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:14 a.m.