Triple
T16184583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Werchikwar dialect |
E392766
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | regional variety of Burushaski |
C37099
|
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: regional variety of Burushaski Context triple: [Werchikwar dialect, instanceOf, regional variety of Burushaski]
-
A.
Dardic language
A Dardic language is a member of a subgroup of the Indo-Aryan languages spoken primarily in the mountainous regions of northern Pakistan, northwestern India, and eastern Afghanistan, characterized by distinct phonological and lexical features.
-
B.
Nuristani language
A Nuristani language is any member of a small group of Indo-Iranian languages spoken primarily in the remote Nuristan region of eastern Afghanistan and adjacent areas of Pakistan.
-
C.
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.
-
D.
Bihari languages
Bihari languages are a group of closely related Indo-Aryan languages and dialects spoken primarily in the Indian state of Bihar and surrounding regions, including Bhojpuri, Maithili, and Magahi.
-
E.
Gondi language variety
A Gondi language variety is a specific regional or social form of the Gondi language, distinguished by its own characteristic phonological, lexical, and grammatical features within the broader Dravidian language continuum.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
Created at: April 10, 2026, 5:02 a.m.