Triple
T15261193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altior |
E364777
|
entity |
| Predicate | disciplineWithinNationalHunt |
P108046
|
FINISHED |
| Object | steeplechasing |
—
|
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: steeplechasing | Statement: [Altior, disciplineWithinNationalHunt, steeplechasing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disciplineWithinNationalHunt Context triple: [Altior, disciplineWithinNationalHunt, steeplechasing]
-
A.
hasRacingDiscipline
chosen
Indicates that an entity participates in, is associated with, or is characterized by a specific type or category of racing discipline.
-
B.
raceTypeDetail
Indicates the specific category or classification of a race, providing detailed information about the type of race involved in the relationship.
-
C.
racecourseType
Indicates the specific kind or classification of a racecourse associated with an entity.
-
D.
horseBreed
Indicates that one entity is a specific breed of the horse represented by the other entity.
-
E.
WorldCupDiscipline
Indicates a disciplinary action (such as a card, suspension, or sanction) imposed on an entity in the context of a FIFA World Cup competition.
- 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_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. |
Created at: April 10, 2026, 3:14 a.m.