Triple
T27143698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mares’ Hurdle |
E681881
|
entity |
| Predicate | recordWinsByHorseYears |
P172110
|
FINISHED |
| Object | 2009–2014 |
—
|
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: 2009–2014 | Statement: [Mares’ Hurdle, recordWinsByHorseYears, 2009–2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordWinsByHorseYears Context triple: [Mares’ Hurdle, recordWinsByHorseYears, 2009–2014]
-
A.
mostSuccessfulHorseYears
Indicates the years during which a particular horse achieved its highest level of success or best performance relative to other years.
-
B.
notableHorse
Indicates that the subject is a horse recognized for particular significance, fame, or distinction.
-
C.
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.
-
D.
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.
-
E.
sireOfClassicWinners
Indicates that the subject is the male parent (stallion) of one or more offspring that have won recognized Classic races.
- 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_69eefacca3888190b67238d380e8f28b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6a9603b208190b3533ea2b441514c |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f6a8de0b948190ae333e9cd99cbf6c |
completed | May 3, 2026, 1:46 a.m. |
Created at: April 27, 2026, 9:10 a.m.