Triple
T7012966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Classical Nahuatl |
E162628
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Nahuatl language |
C3837
|
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: Nahuatl language Context triple: [Classical Nahuatl, instanceOf, Nahuatl language]
-
A.
Mixe–Zoquean language
A Mixe–Zoquean language is a member of a small family of indigenous Mesoamerican languages spoken primarily in southern Mexico, characterized by complex verb morphology and tonal or pitch-accent systems.
-
B.
Uto-Aztecan language
chosen
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.
-
C.
Quechuan language
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.
-
D.
Yavapai language variety
A Yavapai language variety is a specific form or dialect of the Yavapai language, distinguished by unique phonological, lexical, or grammatical features used by a particular Yavapai-speaking community.
-
E.
language of Mexico
The language of Mexico refers primarily to Spanish, the country’s dominant and official de facto language, alongside a rich diversity of indigenous languages such as Nahuatl, Maya, Mixtec, and Zapotec that reflect its multicultural heritage.
- 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_69c6885a127c8190867b059bdccf13ff |
completed | March 27, 2026, 1:38 p.m. |
Created at: March 27, 2026, 2:34 p.m.