Triple
T15261146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sire de Grugy |
E364776
|
entity |
| Predicate | hasRacingDistanceSpecialty |
P27047
|
FINISHED |
| Object | two miles |
—
|
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: two miles | Statement: [Sire de Grugy, hasRacingDistanceSpecialty, two miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRacingDistanceSpecialty Context triple: [Sire de Grugy, hasRacingDistanceSpecialty, two miles]
-
A.
hasRacingDiscipline
Indicates that an entity participates in, is associated with, or is characterized by a specific type or category of racing discipline.
-
B.
hasRacecourseFeature
Indicates that something possesses or includes a specific feature or characteristic related to a racecourse.
-
C.
raceDistanceType
chosen
Indicates the specific type or category of distance over which a race is conducted.
-
D.
majorRaceDistance
Indicates the standard or primary distance over which a major race or competition is contested.
-
E.
hasRacecourse
Indicates that an entity possesses, contains, or is associated with a racecourse facility or track.
- 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.