Triple
T16363246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gasabo District |
E397368
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Mvura sector
Mvura sector is an administrative subdivision located within Gasabo District in Kigali, Rwanda.
|
E1208201
|
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: Mvura sector | Statement: [Gasabo District, contains, Mvura sector]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mvura sector Context triple: [Gasabo District, contains, Mvura sector]
-
A.
Mumviri
Mumviri is a dialect of the Kamkata-vari language spoken by Nuristani communities in parts of eastern Afghanistan.
-
B.
Busoga
Busoga is a traditional kingdom and region in eastern Uganda, inhabited mainly by the Basoga people and situated across the Nile from Buganda.
-
C.
Mwinilunga
Mwinilunga is a town in northwestern Zambia known as an administrative and commercial center near the borders with Angola and the Democratic Republic of the Congo.
-
D.
Vumba region
The Vumba region is a scenic highland area in eastern Zimbabwe known for its lush forests, cool misty climate, and rich biodiversity, attracting nature lovers and tourists.
-
E.
Murehwa
Murehwa is a town and rural service center in northeastern Zimbabwe known for its agricultural activities and proximity to traditional Shona cultural sites.
- 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: Mvura sector Triple: [Gasabo District, contains, Mvura sector]
Generated description
Mvura sector is an administrative subdivision located within Gasabo District in Kigali, Rwanda.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mvura sector Target entity description: Mvura sector is an administrative subdivision located within Gasabo District in Kigali, Rwanda.
-
A.
Mumviri
Mumviri is a dialect of the Kamkata-vari language spoken by Nuristani communities in parts of eastern Afghanistan.
-
B.
Busoga
Busoga is a traditional kingdom and region in eastern Uganda, inhabited mainly by the Basoga people and situated across the Nile from Buganda.
-
C.
Mwinilunga
Mwinilunga is a town in northwestern Zambia known as an administrative and commercial center near the borders with Angola and the Democratic Republic of the Congo.
-
D.
Vumba region
The Vumba region is a scenic highland area in eastern Zimbabwe known for its lush forests, cool misty climate, and rich biodiversity, attracting nature lovers and tourists.
-
E.
Murehwa
Murehwa is a town and rural service center in northeastern Zimbabwe known for its agricultural activities and proximity to traditional Shona cultural sites.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2ff3aada88190a6e01f04c494a6ac |
completed | April 18, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002dbeabe081909e3d02676293e8b2 |
completed | May 10, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_6a002ed2ddf0819083be2dd80810ac78 |
completed | May 10, 2026, 7:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a002f8fdefc8190bf893c7dc22c9f0b |
completed | May 10, 2026, 7:11 a.m. |
Created at: April 10, 2026, 5:08 a.m.