Triple
T8651218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madaraka, Nairobi |
E205102
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | suburb of Nairobi |
C24664
|
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: suburb of Nairobi Context triple: [Madaraka, Nairobi, instanceOf, suburb of Nairobi]
-
A.
Suburb of Nairobi
chosen
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.
-
B.
suburb of Moscow
A suburb of Moscow is a residential or mixed-use area located on the outskirts of Russia’s capital, typically characterized by commuter links to the city, mid- to high-density housing, and supporting local infrastructure and services.
-
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.
suburb of Chicago
A suburb of Chicago is a residential community located outside the city’s core that is economically and socially tied to Chicago, often featuring lower-density housing, local schools, and commuter access to the city.
-
E.
suburb of Paris
A suburb of Paris is a residential or mixed-use community located on the outskirts of the French capital, closely linked to the city by transportation, economy, and daily life.
- 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_69ca834e56848190abb0eeaec9dedd32 |
completed | March 30, 2026, 2:06 p.m. |
Created at: March 30, 2026, 6:29 p.m.