Triple
T28716066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Təghădməsət |
E729963
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Zenati language variety |
C8991
|
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: Zenati language variety Context triple: [Təghădməsət, instanceOf, Zenati language variety]
-
A.
Zenati language
chosen
The Zenati language is a conceptual class representing a branch of Berber languages characterized by shared phonological, morphological, and lexical features that distinguish it from other Afroasiatic language groups.
-
B.
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.
-
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.
Cora language variety
Cora language variety refers to any distinct regional, social, or dialectal form of the Cora language as used by different Cora-speaking communities.
-
E.
Sara language variety
The Sara language variety is a group of closely related Central Sudanic languages spoken primarily in southern Chad and neighboring regions, characterized by shared phonological and grammatical features but distinct local dialects.
- 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_69f043e7d5a4819094b18aca10b1e024 |
completed | April 28, 2026, 5:21 a.m. |
Created at: April 28, 2026, 5:50 a.m.