Triple
T33017804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dubai International Arabian Horse Championship |
E844822
|
entity |
| Predicate | horseBreedShown |
P77266
|
FINISHED |
| Object | Arabian horse |
—
|
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: Arabian horse | Statement: [Dubai International Arabian Horse Championship, horseBreedShown, Arabian horse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: horseBreedShown Context triple: [Dubai International Arabian Horse Championship, horseBreedShown, Arabian horse]
-
A.
horseBreed
chosen
Indicates that one entity is a specific breed of the horse represented by the other entity.
-
B.
featuresHorse
Indicates that something includes, presents, or prominently involves a horse as a central element or subject.
-
C.
horseName
Indicates that an entity has the specified name of a horse.
-
D.
horseRepresents
Indicates that a horse symbolically stands for, signifies, or serves as an emblem of another entity, concept, or idea.
-
E.
horseColor
Indicates the relationship that specifies what color a given horse is.
- 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_69f3494f3b4081909dccf2af34372a26 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:23 a.m.