Triple
T21588025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kisukuma language |
E532703
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Sukuma language |
C45023
|
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: Sukuma language Context triple: [Kisukuma language, instanceOf, Sukuma language]
-
A.
Sabaki language
Sabaki language is a conceptual class representing a subgroup of closely related Bantu languages spoken along the East African coast, characterized by shared phonological, lexical, and grammatical features.
-
B.
Ubangian language
A Ubangian language is a member of a proposed group of Central African languages, primarily spoken in the Central African Republic and neighboring countries, that share common phonological and grammatical features and are often considered a branch of the Niger-Congo family.
-
C.
Munda language
The Munda language is a member of the Austroasiatic language family spoken primarily by indigenous Munda communities in eastern and central India, characterized by agglutinative morphology and distinct phonological features.
-
D.
Nandi language
Nandi language is a Southern Nilotic language spoken primarily by the Nandi people of Kenya, characterized by its complex verb morphology and tonal distinctions.
-
E.
Misumalpan language
Misumalpan language is a small family of indigenous languages spoken primarily along the Atlantic coast of Nicaragua and neighboring regions, including Miskito, Sumo (Mayangna), and Matagalpan varieties.
- F. None of above. chosen
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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
Created at: April 16, 2026, 6:31 p.m.