Triple
T721201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fang language |
E14619
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Niger-Congo language |
C3817
|
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: Niger-Congo language Context triple: [Fang language, instanceOf, Niger-Congo language]
-
A.
Bantu language
chosen
A Bantu language is a member of a large branch of the Niger-Congo language family, spoken primarily in central, eastern, and southern Africa, characterized by noun class systems and agglutinative morphology.
-
B.
Chadic language
A Chadic language is any member of a branch of the Afroasiatic language family spoken primarily in parts of Nigeria, Niger, Chad, Cameroon, and neighboring regions, characterized by diverse phonological systems and complex verb morphology.
-
C.
Uralic language
A Uralic language is a member of the Uralic language family, originating in Northern Eurasia and characterized by features such as agglutinative morphology, extensive case systems, and vowel harmony, including languages like Finnish, Hungarian, and Estonian.
-
D.
Dravidian language
A Dravidian language is a member of a family of primarily South Indian and Sri Lankan languages, such as Tamil, Telugu, Kannada, and Malayalam, that share common historical origins and structural features distinct from Indo-European languages.
-
E.
Austroasiatic language
An Austroasiatic language is a member of a large language family native to Southeast Asia and parts of South Asia, including languages such as Vietnamese, Khmer, and Mon.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
Created at: March 1, 2026, 7:37 p.m.