Triple
T15261145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sire de Grugy |
E364776
|
entity |
| Predicate | hasRacingCategory |
P108046
|
FINISHED |
| Object | chaser |
—
|
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: chaser | Statement: [Sire de Grugy, hasRacingCategory, chaser]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRacingCategory Context triple: [Sire de Grugy, hasRacingCategory, chaser]
-
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.
raceCategory
Indicates the classification of an entity into a specific race or racial group within a defined categorization system.
-
C.
hasRaceClass
Indicates that an entity participates in or is associated with a particular race classification or category.
-
D.
hasRacecourse
Indicates that an entity possesses, contains, or is associated with a racecourse facility or track.
-
E.
hasCompetitionCategory
Indicates that an entity is associated with a specific category or division within a 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.