Triple
T34630910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beni Shangul language |
E889282
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Berta language |
C28123
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: Berta language Context triple: [Beni Shangul language, instanceOf, Berta language]
-
A.
Berta language group
chosen
The Berta language group is a small cluster of closely related Nilo-Saharan languages spoken primarily by the Berta people in the border regions of western Ethiopia and eastern Sudan.
-
B.
Batanic language
The Batanic language is a subgroup of Austronesian languages spoken primarily in the Batanes Islands of the northern Philippines and nearby areas, characterized by shared phonological and lexical features distinct from neighboring Philippine languages.
-
C.
Katuic language
A Katuic language is a member of a subgroup of the Austroasiatic language family spoken primarily by Katuic ethnic groups in Laos, Vietnam, and neighboring regions, characterized by complex phonologies and rich systems of verbal morphology.
-
D.
Mosetenan language
The Mosetenan language is an indigenous language family of Bolivia, primarily spoken by the Mosetén and Chimane peoples in the Amazonian lowlands, known for its complex verb morphology and endangered status.
-
E.
Maipurean language
A Maipurean language is a member of the Arawakan language family historically spoken in the Orinoco River region of South America, known primarily from limited colonial-era documentation.
- F. None of above.
Provenance (1 batch)
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_69f349d64a388190a013cfa9bd33fad7 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 2:04 a.m.