Triple
T20539668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fizi Territory |
E504292
|
entity |
| Predicate | hasSubregion |
P285
|
FINISHED |
| Object |
N’gangya sector
N’gangya sector is an administrative subdivision within Fizi Territory in South Kivu Province of the Democratic Republic of the Congo.
|
E1437182
|
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: N’gangya sector | Statement: [Fizi Territory, hasSubregion, N’gangya sector]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: N’gangya sector Context triple: [Fizi Territory, hasSubregion, N’gangya sector]
-
A.
Kinyinya sector
Kinyinya sector is an administrative subdivision of Gasabo District in Kigali, Rwanda, known for its rapidly growing residential neighborhoods and proximity to the city center.
-
B.
Nenguanje sector
Nenguanje sector is a coastal area within Colombia’s Tayrona National Natural Park, known for its beaches, natural scenery, and access to nearby ecotourism sites.
-
C.
Mvura sector
Mvura sector is an administrative subdivision located within Gasabo District in Kigali, Rwanda.
-
D.
Rwezamenyo Sector
Rwezamenyo Sector is an administrative sector within Kigali’s central Nyarugenge District in Rwanda.
-
E.
Gatsata sector
Gatsata sector is an administrative subdivision of Kigali, Rwanda, known for its dense urban settlements and strategic location along major transport routes.
- 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: N’gangya sector Triple: [Fizi Territory, hasSubregion, N’gangya sector]
Generated description
N’gangya sector is an administrative subdivision within Fizi Territory in South Kivu Province of the Democratic Republic of the Congo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: N’gangya sector Target entity description: N’gangya sector is an administrative subdivision within Fizi Territory in South Kivu Province of the Democratic Republic of the Congo.
-
A.
Kinyinya sector
Kinyinya sector is an administrative subdivision of Gasabo District in Kigali, Rwanda, known for its rapidly growing residential neighborhoods and proximity to the city center.
-
B.
Nenguanje sector
Nenguanje sector is a coastal area within Colombia’s Tayrona National Natural Park, known for its beaches, natural scenery, and access to nearby ecotourism sites.
-
C.
Mvura sector
Mvura sector is an administrative subdivision located within Gasabo District in Kigali, Rwanda.
-
D.
Rwezamenyo Sector
Rwezamenyo Sector is an administrative sector within Kigali’s central Nyarugenge District in Rwanda.
-
E.
Gatsata sector
Gatsata sector is an administrative subdivision of Kigali, Rwanda, known for its dense urban settlements and strategic location along major transport routes.
- 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a290bd8c819091988f511fb5820b |
completed | April 20, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08a567f39c819098b75ea029b3f740 |
completed | May 16, 2026, 5:12 p.m. |
| NEDg | Description generation | batch_6a08a66836d88190a63b42663455e491 |
completed | May 16, 2026, 5:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08a6e4bd1c8190969cf969812a2e56 |
completed | May 16, 2026, 5:18 p.m. |
Created at: April 16, 2026, 11:37 a.m.