Triple
T36495171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bul Nuer people |
E899163
|
entity |
| Predicate | cattleBreedPreference |
P45980
|
FINISHED |
| Object | zebu cattle |
—
|
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: zebu cattle | Statement: [Bul Nuer people, cattleBreedPreference, zebu cattle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cattleBreedPreference Context triple: [Bul Nuer people, cattleBreedPreference, zebu cattle]
-
A.
ruminantType
Indicates that one entity is classified as a type or category within the group of ruminant animals in relation to another entity.
-
B.
feederFoodPreference
Indicates the type of food that is preferred or typically used in a particular feeder.
-
C.
animalTypeLoved
Indicates that one entity loves or is especially fond of animals of a particular type.
-
D.
hasTraditionalAnimalBreed
Indicates that an entity is associated with or possesses an animal that belongs to a recognized traditional breed.
-
E.
primaryLivestock
chosen
Indicates that the specified livestock type is the main or most important kind of animal raised or kept by an 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.