Triple
T29327703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Nairobi |
E743697
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | district of Nairobi |
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: district of Nairobi Context triple: [Eastern Nairobi, instanceOf, district of Nairobi]
-
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.
Suburb of Nairobi
A Suburb of Nairobi is a residential or mixed-use area located on the outskirts of Nairobi city, typically characterized by lower building density than the urban core and serving as a commuter or satellite community connected to the city’s economic and social activities.
-
C.
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.
-
D.
district of Tanzania
A district of Tanzania is an administrative subdivision within a region, governed by local authorities responsible for implementing national policies and providing public services at the local level.
-
E.
district of Rwanda
A district of Rwanda is an administrative subdivision of the country, below the provincial level, responsible for local governance, service delivery, and development planning within its defined geographic area.
- 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_69f09125f784819080f4e9fce9fe624f |
completed | April 28, 2026, 10:51 a.m. |
Created at: April 28, 2026, 1:27 p.m.