Triple
T4303885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saho people |
E99905
|
entity |
| Predicate | pastoralAnimalsHerded |
P45980
|
FINISHED |
| Object | camels |
—
|
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: camels | Statement: [Saho people, pastoralAnimalsHerded, camels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pastoralAnimalsHerded Context triple: [Saho people, pastoralAnimalsHerded, camels]
-
A.
typeOfLivestock
Indicates the specific kind or category of livestock associated with or involved in a given context or entity.
-
B.
pastoralActivities
Indicates activities related to providing spiritual care, guidance, or religious leadership within a community.
-
C.
primaryLivestock
chosen
Indicates that the specified livestock type is the main or most important kind of animal raised or kept by an entity.
-
D.
hasHerdSize
Indicates the number of individual animals that belong to a particular herd.
-
E.
ruminantType
Indicates that one entity is classified as a type or category within the group of ruminant animals in relation to another 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_69b345528ebc8190b5abc7e95094792d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350b792608190ac778b79c740256a |
completed | March 12, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69b347ff45cc8190b0cc335a94cc3d73 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:09 p.m.