Triple
T29235150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tena Kichwa |
E741173
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Amazonian Kichwa variety |
C55104
|
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: Amazonian Kichwa variety Context triple: [Tena Kichwa, instanceOf, Amazonian Kichwa variety]
-
A.
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.
-
B.
Amuzgo language variety
An Amuzgo language variety is a specific regional or social form of the Amuzgo language, distinguished by its unique phonological, lexical, and grammatical features within the broader Amuzgo linguistic continuum.
-
C.
regional variety of the Kʼicheʼ language
A regional variety of the Kʼicheʼ language is a geographically and socially defined form of Kʼicheʼ characterized by distinct phonological, lexical, and grammatical features shared by speakers in a particular area.
-
D.
Totonac language variety
A Totonac language variety is a specific regional or social form of the Totonac language, distinguished by its unique phonological, lexical, and grammatical features within the broader Totonacan language family.
-
E.
Chontal language variety
A Chontal language variety is a specific form or dialect of the Chontal language, distinguished by its unique phonological, grammatical, and lexical features within the broader Chontal linguistic group.
- 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_69f0911dd6fc819097d1abb287016489 |
completed | April 28, 2026, 10:51 a.m. |
Created at: April 28, 2026, 12:28 p.m.