Triple
T35901222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Shaqab |
E1038355
|
entity |
| Predicate | typeOfHorses |
P77266
|
FINISHED |
| Object | purebred Arabian horses |
—
|
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: purebred Arabian horses | Statement: [Al Shaqab, typeOfHorses, purebred Arabian horses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfHorses Context triple: [Al Shaqab, typeOfHorses, purebred Arabian horses]
-
A.
horseBreed
chosen
Indicates that one entity is a specific breed of the horse represented by the other entity.
-
B.
usesHorseType
Indicates that one entity employs, relies on, or operates using a specific type or category of horse.
-
C.
featuresHorse
Indicates that something includes, presents, or prominently involves a horse as a central element or subject.
-
D.
horseRepresents
Indicates that a horse symbolically stands for, signifies, or serves as an emblem of another entity, concept, or idea.
-
E.
breedsHorsesAt
Indicates that an entity is engaged in the activity of breeding horses at a specified location.
- 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_69f76e2190f88190beb2eed798a4ef01 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a01e3a2d0e08190a7d5622920dc56e6 |
completed | May 11, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_6a01e3013e7881909f0cdca25a53c009 |
completed | May 11, 2026, 2:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.