Triple
T29353984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ankole |
E744386
|
entity |
| Predicate | livestockBreed |
P41121
|
FINISHED |
| Object | Ankole-Watusi cattle |
—
|
NE NERFINISHED |
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: Ankole-Watusi cattle | Statement: [Ankole, livestockBreed, Ankole-Watusi cattle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: livestockBreed Context triple: [Ankole, livestockBreed, Ankole-Watusi cattle]
-
A.
typeOfLivestock
Indicates the specific kind or category of livestock associated with or involved in a given context or entity.
-
B.
breed
Indicates that an organism reproduces to generate offspring, typically with another organism of the same species.
-
C.
breedsIn
Indicates that an organism reproduces or carries out its breeding activities within a specified environment, habitat, or location.
-
D.
primaryLivestock
Indicates that the specified livestock type is the main or most important kind of animal raised or kept by an entity.
-
E.
associatedAnimalBreed
chosen
Indicates that there is a relationship linking an entity to a specific breed of animal with which it is connected or identified.
- 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_69f0a79a2d748190bc30abd469298b37 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f6695de4b08190983486979828acf7 |
completed | May 2, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 2:09 p.m.