Triple
T37955698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mangbetu language |
E946855
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Mangbetuic language |
C64988
|
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: Mangbetuic language Context triple: [Mangbetu language, instanceOf, Mangbetuic language]
-
A.
Batanic language
The Batanic language is a subgroup of Austronesian languages spoken primarily in the Batanes Islands of the northern Philippines and nearby areas, characterized by shared phonological and lexical features distinct from neighboring Philippine languages.
-
B.
Palaungic language
A Palaungic language is a member of the Austroasiatic language family spoken primarily in parts of Myanmar, China, Laos, Thailand, and Vietnam by various Palaungic ethnic groups.
-
C.
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.
-
D.
Maipurean language
A Maipurean language is a member of the Arawakan language family historically spoken in the Orinoco River region of South America, known primarily from limited colonial-era documentation.
-
E.
Moru–Madi language
The Moru–Madi language is a group of closely related Central Sudanic languages spoken primarily in South Sudan, Uganda, and the Democratic Republic of the Congo by the Moru, Madi, and related ethnic communities.
- 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_69f76ef64cf08190ad3e1114b62aac67 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:20 p.m.