Triple
T2201232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pawnee language |
E50493
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Caddoan language |
C9423
|
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: Caddoan language Context triple: [Pawnee language, instanceOf, Caddoan language]
-
A.
Algonquian language
An Algonquian language is any member of a family of Indigenous languages of North America, historically spoken from the Atlantic coast to the Great Plains and characterized by complex morphology and polysynthetic structure.
-
B.
Chadic language
A Chadic language is any member of a branch of the Afroasiatic language family spoken primarily in parts of Nigeria, Niger, Chad, Cameroon, and neighboring regions, characterized by diverse phonological systems and complex verb morphology.
-
C.
Inuit language
Inuit language is a group of closely related Indigenous languages spoken across the Arctic regions of Alaska, Canada, and Greenland, characterized by polysynthetic word formation and rich expression of environmental and cultural concepts.
-
D.
Tai language
A Tai language is a member of the Tai branch of the Kra–Dai language family, characterized by tonal phonology and analytic grammar, spoken primarily in Southeast Asia by Tai ethnic groups.
-
E.
Uto-Aztecan language
A Uto-Aztecan language is a member of a Native American language family spoken from the western United States through northern and central Mexico, sharing common ancestral linguistic features despite diverse cultures and regions.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
Created at: March 4, 2026, 7:46 p.m.