Triple
T23930642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denya language |
E602484
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Mamfe language |
C22855
|
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: Mamfe language Context triple: [Denya language, instanceOf, Mamfe language]
-
A.
Ubangian language
chosen
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.
-
B.
Pame language
Pame language is a group of closely related Oto-Manguean indigenous languages spoken by the Pame people in the central highlands of Mexico, primarily in the state of San Luis Potosí.
-
C.
Nobiin language
Nobiin language is a Northern Nubian language of the Nilo-Saharan family spoken primarily along the Nile in southern Egypt and northern Sudan, notable for its rich oral tradition and historical significance in Nubian culture.
-
D.
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.
-
E.
Southern Maa language
Southern Maa language is a Nilotic language spoken primarily by the Maasai people of southern Kenya and northern Tanzania, characterized by its rich system of noun classes, tonal distinctions, and oral poetic traditions.
- 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_69e2953b928c819095395fa87baca583 |
completed | April 17, 2026, 8:16 p.m. |
Created at: April 17, 2026, 8:57 p.m.