Triple
T24731384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xingu Arawak languages |
E618297
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Arawakan languages |
C14586
|
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: Arawakan languages Context triple: [Xingu Arawak languages, instanceOf, Arawakan languages]
-
A.
Arawakan language
chosen
An Arawakan language is any member of a large family of indigenous languages of South America and the Caribbean, historically spoken across a vast area from the Amazon Basin to the Antilles.
-
B.
Cariban language
A Cariban language is a member of the Cariban family of indigenous languages spoken primarily in northern South America, known for their complex verb morphology and diverse phonological systems.
-
C.
Caribbean creole language
A Caribbean creole language is a stable, fully developed natural language that emerged in the Caribbean from the contact and blending of European colonial languages with African, Indigenous, and other linguistic influences.
-
D.
creole language group
A creole language group is a collection of fully developed natural languages that have evolved from the contact, mixing, and nativization of multiple parent languages, typically emerging in multilingual and colonial settings.
-
E.
Oto-Manguean language
An Oto-Manguean language is a member of a large, diverse family of indigenous Mesoamerican languages, primarily spoken in Mexico, characterized by complex tonal systems and significant grammatical and phonological variation.
- 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_69e2fab772608190b74163751047ff50 |
completed | April 18, 2026, 3:29 a.m. |
Created at: April 18, 2026, 4:02 a.m.