Triple
T38505054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vihiga District |
E921741
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | administrative division of Kenya |
C29271
|
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: administrative division of Kenya Context triple: [Vihiga District, instanceOf, administrative division of Kenya]
-
A.
district of Kenya
chosen
A district of Kenya is an administrative subdivision of the country, historically used to organize local governance, public services, and regional administration within a specific geographic area.
-
B.
County of Kenya
A County of Kenya is a primary administrative and devolved governance unit within the Republic of Kenya, established by the 2010 Constitution, with its own local government responsible for delivering public services and development at the regional level.
-
C.
constituency of Kenya
A constituency of Kenya is an electoral area represented by a Member of Parliament in the National Assembly, serving as the basic unit for parliamentary representation and resource allocation.
-
D.
first-level administrative division of Tanzania
A first-level administrative division of Tanzania is a primary regional unit, such as a region, that serves as the top-tier subdivision of the country for governance, administration, and statistical purposes.
-
E.
administrative division of Ethiopia
An administrative division of Ethiopia is a territorial unit, such as a region or zone, established by the Ethiopian government for local governance, administration, and delivery of public services.
- 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_69f76ea3c5448190aa7002fc1ba3f874 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:32 p.m.