Triple
T7492929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ha language |
E177051
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | language of Tanzania |
C22465
|
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: language of Tanzania Context triple: [Ha language, instanceOf, language of Tanzania]
-
A.
language of Malawi
The language of Malawi refers primarily to Chichewa (also known as Chewa or Nyanja), the country’s national and most widely spoken Bantu language, alongside several other indigenous languages used across different regions and communities.
-
B.
variety of Swahili
A variety of Swahili is a distinct form of the Swahili language characterized by specific regional, social, or functional linguistic features in its phonology, grammar, and vocabulary.
-
C.
language of South Africa
A language of South Africa is a system of spoken and/or written communication, such as Zulu, Xhosa, Afrikaans, or others, used by communities within South Africa for everyday interaction, cultural expression, and official purposes.
-
D.
Central Tano language
A Central Tano language is a member of the Tano branch of the Niger-Congo language family spoken primarily in Ghana and neighboring regions, characterized by tonal phonology and shared grammatical and lexical features with related Akanic and Guang languages.
-
E.
Songhay language
Songhay language is a group of closely related Nilo-Saharan languages spoken primarily along the Niger River in Mali, Niger, and neighboring West African countries.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
Created at: March 27, 2026, 3:43 p.m.