Triple
T34671893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arikém languages |
E890397
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Tupian languages |
C58790
|
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: Tupian languages Context triple: [Arikém languages, instanceOf, Tupian languages]
-
A.
Bantoid languages
Bantoid languages are a branch of the Benue–Congo family within the Niger–Congo language phylum, comprising Bantu and closely related non-Bantu languages spoken primarily in Central and West Africa.
-
B.
Tamanic language
A Tamanic language is a member of a small subgroup of Austronesian languages spoken primarily in Borneo, characterized by shared phonological and lexical features that distinguish them from neighboring language groups.
-
C.
Maban languages
Maban languages are a small group of closely related Nilo-Saharan languages spoken primarily in eastern Chad and western Sudan, characterized by complex tone systems and rich consonant inventories.
-
D.
Nobiin language
Nobiin language is a Northern Nubian language of the Nilo-Saharan family spoken primarily along the Nile in southern Egypt and northern Sudan, notable for its rich oral tradition and historical significance in Nubian culture.
-
E.
Katuic language
A Katuic language is a member of a subgroup of the Austroasiatic language family spoken primarily by Katuic ethnic groups in Laos, Vietnam, and neighboring regions, characterized by complex phonologies and rich systems of verbal morphology.
- 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_69f349d9c59481908b36baa0be093aea |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 2:05 a.m.