Triple

T20539665
Position Surface form Disambiguated ID Type / Status
Subject Fizi Territory E504292 entity
Predicate hasSubregion P285 FINISHED
Object Lulenge sector NE NERFINISHED

How this triple was built (3 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: Lulenge sector | Statement: [Fizi Territory, hasSubregion, Lulenge sector]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lulenge sector
Context triple: [Fizi Territory, hasSubregion, Lulenge sector]
  • A. Gatenga sector
    Gatenga sector is an urban administrative sector within Kigali, Rwanda, known for its dense residential neighborhoods and growing commercial activity.
  • B. Nduba sector
    Nduba sector is an administrative sector located within Gasabo District in Kigali City, Rwanda.
  • C. Kanyinya Sector
    Kanyinya Sector is an administrative sector within Kigali’s Nyarugenge District in Rwanda.
  • D. Ndera sector
    Ndera sector is an administrative subdivision of Gasabo District in Kigali, Rwanda, known for hosting the country’s main neuropsychiatric hospital and rapidly growing peri-urban communities.
  • E. Rwezamenyo Sector
    Rwezamenyo Sector is an administrative sector within Kigali’s central Nyarugenge District in Rwanda.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lulenge sector
Target entity description: Lulenge sector is an administrative subdivision of Fizi Territory in South Kivu Province of the Democratic Republic of the Congo, known for its rural communities and location within the eastern Congo conflict-affected region.
  • A. Gatenga sector
    Gatenga sector is an urban administrative sector within Kigali, Rwanda, known for its dense residential neighborhoods and growing commercial activity.
  • B. Nduba sector
    Nduba sector is an administrative sector located within Gasabo District in Kigali City, Rwanda.
  • C. Kanyinya Sector
    Kanyinya Sector is an administrative sector within Kigali’s Nyarugenge District in Rwanda.
  • D. Ndera sector
    Ndera sector is an administrative subdivision of Gasabo District in Kigali, Rwanda, known for hosting the country’s main neuropsychiatric hospital and rapidly growing peri-urban communities.
  • E. Rwezamenyo Sector
    Rwezamenyo Sector is an administrative sector within Kigali’s central Nyarugenge District in Rwanda.
  • F. None of above. chosen

Provenance (2 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.
Created at: April 16, 2026, 11:37 a.m.