Triple
T36631664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miza |
E904336
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Moru language variety |
C63832
|
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: Moru language variety Context triple: [Miza, instanceOf, Moru language variety]
-
A.
Rarámuri language variety
A Rarámuri language variety is a specific regional or social form of the Rarámuri (Tarahumara) language, distinguished by its unique phonological, lexical, and grammatical features within the broader Rarámuri linguistic continuum.
-
B.
Mari language variety
A Mari language variety is a specific form or dialect of the Mari language, distinguished by its unique phonological, grammatical, and lexical features used by a particular Mari-speaking community.
-
C.
Luri language variety
A Luri language variety is a specific regional or social form of the Luri language, distinguished by its own characteristic phonological, lexical, and grammatical features within the broader continuum of Southwestern Iranian dialects.
-
D.
Kunama language variety
A Kunama language variety is a specific regional or social form of the Kunama language, distinguished by its own characteristic phonological, lexical, and grammatical features within the broader Kunama linguistic continuum.
-
E.
Aja language variety
Aja language variety refers to any of the regional or social forms of the Aja language, a Gbe language spoken primarily in Benin and Togo, distinguished by differences in pronunciation, vocabulary, and grammar.
- 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_69f76e6c63e48190b1d0c3a79a6c7406 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:11 p.m.