Triple
T18313495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2000 Guineas Stakes |
E438690
|
entity |
| Predicate | countryOfHorseBreed |
P21986
|
FINISHED |
| Object | British Thoroughbred |
—
|
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: British Thoroughbred | Statement: [2000 Guineas Stakes, countryOfHorseBreed, British Thoroughbred]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfHorseBreed Context triple: [2000 Guineas Stakes, countryOfHorseBreed, British Thoroughbred]
-
A.
hasBreedOrigin
chosen
Indicates that an animal breed originates from or was first developed in a specified geographic location or cultural region.
-
B.
nationalityAsRacehorse
Indicates the country or region with which a racehorse is officially associated or registered for racing purposes.
-
C.
countryOfRacing
Indicates the country in which a racing event, activity, or affiliation takes place or is officially registered.
-
D.
originBreeds
Indicates that one entity is the place or source from which another entity (typically a breed or type) originates or was developed.
-
E.
horseBreed
Indicates that one entity is a specific breed of the horse represented by the other entity.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5021b7e2c81908cd3b6684ab899f6 |
completed | April 19, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69e44fe4ee10819086b4142444fca1f5 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:36 a.m.