Triple
T21194819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Luri |
E522299
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Luri language variety |
C44340
|
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: Luri language variety Context triple: [Central Luri, instanceOf, Luri language variety]
-
A.
Dargwa language variety
A Dargwa language variety is a specific regional or social form of the Dargwa language, characterized by distinct phonological, lexical, and grammatical features within the broader Dargwa linguistic continuum.
-
B.
Yana language variety
Yana language variety refers to any of the related but distinct forms of the Yana language traditionally spoken by the Yana people of northern California, encompassing dialectal differences in phonology, vocabulary, and grammar.
-
C.
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.
-
D.
Sabaic language variety
A Sabaic language variety is a specific form or dialect of the ancient South Arabian Sabaic language, distinguished by its unique linguistic features, geographic distribution, and historical context within the Sabaean cultural sphere.
-
E.
Kaqchikel language variety
The Kaqchikel language variety is a Mayan language spoken primarily in the central highlands of Guatemala, characterized by its agglutinative morphology, ergative-absolutive alignment, and rich system of aspect and status markers.
- 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
Created at: April 16, 2026, 3:08 p.m.