Triple
T17801346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nassau Stakes |
E444433
|
entity |
| Predicate | mostSuccessfulHorseYears |
P128977
|
FINISHED |
| Object | 2009 |
—
|
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: 2009 | Statement: [Nassau Stakes, mostSuccessfulHorseYears, 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostSuccessfulHorseYears Context triple: [Nassau Stakes, mostSuccessfulHorseYears, 2009]
-
A.
mostSuccessfulHorse
Indicates that the subject is the horse with the greatest level of success (e.g., wins, earnings, or titles) within a specified group or context.
-
B.
horseOfTheYearCampaignFor
Indicates that an entity conducted or was involved in a campaign promoting a particular horse for a Horse of the Year title or award.
-
C.
mostWinsYears
Indicates the years during which an entity achieved the highest number of wins compared to others or compared to its own performance in other years.
-
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.
foaledInYear
Indicates that a horse (or similar animal) was born in the specified calendar year.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487ff42108190b82ceb4466aa2dff |
completed | April 19, 2026, 7:45 a.m. |
| PD | Predicate disambiguation | batch_69e3d8de28688190844b65acf6af54e6 |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3db7704588190a34a422421152173 |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:13 a.m.