Triple
T37046946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Gur |
E916942
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Gur language subgroup |
C62744
|
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: Gur language subgroup Context triple: [Central Gur, instanceOf, Gur language subgroup]
-
A.
Palaungic language subgroup
The Palaungic language subgroup is a branch of the Austroasiatic language family comprising several closely related languages spoken primarily by Palaung and related ethnic groups in Myanmar, China, Laos, and neighboring regions.
-
B.
Aslian language subgroup
The Aslian language subgroup comprises a cluster of closely related Austroasiatic languages spoken primarily by indigenous Orang Asli communities in Peninsular Malaysia and southern Thailand.
-
C.
Munda languages subgroup
The Munda languages subgroup is a branch of the Austroasiatic language family spoken primarily in eastern and central India, characterized by agglutinative morphology and distinctive phonological and syntactic features.
-
D.
Gur language
Gur language is a member of a branch of the Niger-Congo language family spoken primarily in Burkina Faso, Ghana, Togo, and neighboring West African countries.
-
E.
Yuman language subgroup
The Yuman language subgroup is a branch of the Yuman–Cochimí language family comprising closely related Indigenous languages spoken primarily along the lower Colorado River, in southwestern Arizona, southeastern California, and northern Baja California.
- 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_69f76e94d0308190a3f06890e133c88e |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:14 p.m.