Triple
T23884506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Core Mayan |
E600291
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Mayan language subgroup |
C21584
|
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: Mayan language subgroup Context triple: [Core Mayan, instanceOf, Mayan language subgroup]
-
A.
subgroup of Mayan languages
chosen
A subgroup of Mayan languages is a set of closely related Mayan languages that share a common ancestral branch within the Mayan language family, characterized by shared phonological, grammatical, and lexical innovations.
-
B.
branch of Mayan languages
A branch of Mayan languages is a subgroup within the Mayan language family consisting of closely related languages that share a common ancestral origin and distinctive linguistic features.
-
C.
Totonacan language
A Totonacan language is a member of the Totonacan family of indigenous Mesoamerican languages spoken primarily in east-central Mexico, characterized by complex phonology and verb morphology.
-
D.
Penutian languages subgroup
The Penutian languages subgroup is a proposed family of Native American languages, primarily spoken in western North America, that are hypothesized to share a common ancestral origin based on structural and lexical similarities.
-
E.
Mexican indigenous language
A Mexican indigenous language is a native language originating from the diverse Indigenous peoples of Mexico, characterized by unique phonological, grammatical, and cultural features distinct from Spanish and other non-native languages.
- 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_69e295318e148190b9979d8fc02e168f |
completed | April 17, 2026, 8:16 p.m. |
Created at: April 17, 2026, 8:24 p.m.