Triple
T1791276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imbabura Kichwa |
E39500
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Quechuan language variety |
C4052
|
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: Quechuan language variety Context triple: [Imbabura Kichwa, instanceOf, Quechuan language variety]
-
A.
Quechuan language
chosen
A Quechuan language is any member of a family of indigenous languages of the Andes, primarily spoken in Peru, Bolivia, Ecuador, Colombia, and Argentina, that share common grammatical structures and vocabulary derived from a Proto-Quechuan ancestor.
-
B.
Chibchan language
A Chibchan language is a member of a family of indigenous languages spoken primarily in Central America and northern South America, characterized by shared grammatical and phonological features reflecting a common ancestral origin.
-
C.
Andean language
An Andean language is any of the indigenous languages historically spoken in the Andean region of South America, such as Quechua and Aymara, characterized by rich agglutinative morphology and deep cultural significance.
-
D.
Chinese language variety
A Chinese language variety is a distinct, historically rooted form of the Chinese language—such as Mandarin, Cantonese, or Shanghainese—characterized by its own phonology, vocabulary, and grammar, and often mutually unintelligible with other such forms.
-
E.
Indigenous language
An Indigenous language is a native tongue traditionally spoken by the original inhabitants of a region, embodying their cultural knowledge, identity, and worldview.
- F. None of above.
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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
Created at: March 4, 2026, 7:32 p.m.