Triple
T28749634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ongole |
E731481
|
entity |
| Predicate | cattleBreedType |
P41121
|
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: [Ongole, cattleBreedType, zebu cattle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cattleBreedType Context triple: [Ongole, cattleBreedType, 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.
typeOfLivestock
Indicates the specific kind or category of livestock associated with or involved in a given context or entity.
-
C.
breed
Indicates that an organism reproduces to generate offspring, typically with another organism of the same species.
-
D.
horseBreed
Indicates that one entity is a specific breed of the horse represented by the other 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_69f043ecb5c081909ec9da1172d68ece |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f657bb347881908fab6cbca1a3361f |
completed | May 2, 2026, 7:59 p.m. |
| PD | Predicate disambiguation | batch_69f651ada6048190a7b4a6981565dc3a |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 6:06 a.m.