Triple
T16428005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kicukiro District |
E398994
|
entity |
| Predicate | hasUrbanArea |
P316
|
FINISHED |
| Object | Kigarama sector |
E1213311
|
NE FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kigarama sector | Statement: [Kicukiro District, hasUrbanArea, Kigarama sector]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kigarama sector Context triple: [Kicukiro District, hasUrbanArea, Kigarama sector]
-
A.
Kagarama sector
chosen
Kagarama sector is an urban administrative area within Kigali, Rwanda, known for hosting key district offices and residential neighborhoods in Kicukiro District.
-
B.
Rusororo sector
Rusororo sector is an administrative sector within Gasabo District in Kigali, Rwanda, known for its rapidly growing residential areas and proximity to key urban infrastructure.
-
C.
Kicukiro sector
Kicukiro sector is an urban administrative sector within Kigali, Rwanda, known for its residential neighborhoods, commercial activity, and proximity to key city infrastructure.
-
D.
Rutunga sector
Rutunga sector is an administrative sector located within Gasabo District in Kigali, Rwanda.
-
E.
Niboye sector
Niboye sector is an urban administrative sector within Kicukiro District in Kigali, Rwanda.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328fc223c8190bbed29907351a6f6 |
completed | April 18, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f477674819093bcf9f0df43ebf9 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:09 a.m.