Triple
T16428008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kicukiro District |
E398994
|
entity |
| Predicate | hasUrbanArea |
P316
|
FINISHED |
| Object |
Gahanga sector
Gahanga sector is an administrative urban sector located within Kicukiro District in Kigali, Rwanda.
|
E1213313
|
NE FINISHED |
How this triple was built (4 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: Gahanga sector | Statement: [Kicukiro District, hasUrbanArea, Gahanga sector]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gahanga sector Context triple: [Kicukiro District, hasUrbanArea, Gahanga sector]
-
A.
Jabana sector
Jabana sector is an administrative subdivision within Gasabo District in Kigali, Rwanda, known for its semi-urban communities and proximity to the capital city.
-
B.
Zugurma sector
Zugurma sector is a designated section of Kainji National Park in Nigeria, known for its savanna landscapes and wildlife habitats.
-
C.
Rutunga sector
Rutunga sector is an administrative sector located within Gasabo District in Kigali, Rwanda.
-
D.
Bumbogo sector
Bumbogo sector is an administrative subdivision of Gasabo District in Kigali, Rwanda, known for its semi-urban communities and agricultural activities.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gahanga sector Triple: [Kicukiro District, hasUrbanArea, Gahanga sector]
Generated description
Gahanga sector is an administrative urban sector located within Kicukiro District in Kigali, Rwanda.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gahanga sector Target entity description: Gahanga sector is an administrative urban sector located within Kicukiro District in Kigali, Rwanda.
-
A.
Jabana sector
Jabana sector is an administrative subdivision within Gasabo District in Kigali, Rwanda, known for its semi-urban communities and proximity to the capital city.
-
B.
Zugurma sector
Zugurma sector is a designated section of Kainji National Park in Nigeria, known for its savanna landscapes and wildlife habitats.
-
C.
Rutunga sector
Rutunga sector is an administrative sector located within Gasabo District in Kigali, Rwanda.
-
D.
Bumbogo sector
Bumbogo sector is an administrative subdivision of Gasabo District in Kigali, Rwanda, known for its semi-urban communities and agricultural activities.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_6a00458331748190a4bd1c5d2d466e6d |
completed | May 10, 2026, 8:44 a.m. |
| NEDg | Description generation | batch_6a0046ce23948190a2207e5e27493dac |
completed | May 10, 2026, 8:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a004767d1c88190814e83f09383e874 |
completed | May 10, 2026, 8:52 a.m. |
Created at: April 10, 2026, 5:09 a.m.