Triple
T32266285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Grass Stakes |
E824294
|
entity |
| Predicate | hasMinimumAgeOfHorses |
P156681
|
FINISHED |
| Object | 3 |
—
|
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 | Statement: [Blue Grass Stakes, hasMinimumAgeOfHorses, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMinimumAgeOfHorses Context triple: [Blue Grass Stakes, hasMinimumAgeOfHorses, 3]
-
A.
horseAgeRestriction
Indicates that there is a minimum or specific age requirement that must be met in order to ride, handle, or otherwise interact with a horse.
-
B.
horseRequirement
Indicates that one entity requires, depends on, or mandates the presence or use of a horse in relation to another entity or activity.
-
C.
setsMinimumAge
Indicates that an entity establishes the lowest permissible age required for participation, access, or eligibility in relation to another entity or activity.
-
D.
minimumAgeInYears
chosen
Indicates the smallest number of years an entity must have lived or existed to meet a specified age requirement.
-
E.
maximumAgeRequirement
Indicates that there is an upper age limit that an entity must not exceed in order for a condition, participation, or eligibility to apply.
- 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_69f3490e73588190915f282edd105772 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 1, 2026, 12:42 a.m.