Triple
T32317719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transylvania Stakes |
E825684
|
entity |
| Predicate | maximumAgeOfHorses |
P156264
|
FINISHED |
| Object | 3 years |
—
|
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 years | Statement: [Transylvania Stakes, maximumAgeOfHorses, 3 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumAgeOfHorses Context triple: [Transylvania Stakes, maximumAgeOfHorses, 3 years]
-
A.
mostSuccessfulHorseYears
Indicates the years during which a particular horse achieved its highest level of success or best performance relative to other years.
-
B.
maximumAgeInYears
chosen
Indicates the highest allowable or observed age, expressed in years, associated with an entity or condition.
-
C.
typicalAttributesOfHorse
Indicates the standard or commonly expected characteristics or properties associated with a horse.
-
D.
featuresHorse
Indicates that something includes, presents, or prominently involves a horse as a central element or subject.
-
E.
ageRangeOfJockeys
Indicates the span of ages that the jockeys involved fall within.
- 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_69f3491213b88190a57094d8697a7455 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 1, 2026, 12:46 a.m.