Triple
T30712777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aka |
E781936
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Tani people |
C57187
|
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: Tani people Context triple: [Aka, instanceOf, Tani people]
-
A.
Naga tribe
A Naga tribe is an indigenous ethnic community from the northeastern region of India and northwestern Myanmar, characterized by distinct languages, rich oral traditions, and unique cultural practices including elaborate festivals and traditional attire.
-
B.
Kichwa people
The Kichwa people are an Indigenous group of the Andean and Amazonian regions, primarily in Ecuador, who speak a Quechuan language variety and maintain rich cultural traditions rooted in communal life, agriculture, and spiritual ties to the land.
-
C.
Beti-Pahuin people
The Beti-Pahuin people are a closely related cluster of Bantu-speaking ethnic groups of Central Africa, primarily in Cameroon, Equatorial Guinea, and Gabon, sharing similar languages, cultural practices, and historical origins.
-
D.
Gur people
Gur people are a diverse group of ethnolinguistic communities in West Africa, primarily in Burkina Faso, Ghana, Togo, and neighboring countries, who speak Gur (Voltaic) languages and share related cultural traditions.
-
E.
Nakh people
The Nakh people are a group of closely related Northeast Caucasian ethnic communities, primarily including the Chechens and Ingush, characterized by a shared Nakh language branch, highland cultural traditions, and historical presence in the North Caucasus region.
- 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_69f224acd24481908ed5f96f0d69b5dd |
completed | April 29, 2026, 3:33 p.m. |
Created at: April 29, 2026, 8:35 p.m.