Triple

T19156943
Position Surface form Disambiguated ID Type / Status
Subject Likati Health Zone E468949 entity
Predicate hasHealthArea P134642 FINISHED
Object Bondo health area 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: Bondo health area | Statement: [Likati Health Zone, hasHealthArea, Bondo health area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bondo health area
Context triple: [Likati Health Zone, hasHealthArea, Bondo health area]
  • A. Beni Health Zone
    Beni Health Zone is a health administrative area in North Kivu Province of the Democratic Republic of the Congo, known for being heavily affected by recurrent Ebola outbreaks and regional conflict.
  • B. Likati Health Zone
    Likati Health Zone is a remote administrative health district in northern Democratic Republic of the Congo, known for being the origin point of a 2017 Ebola virus disease outbreak in Équateur Province.
  • C. Bansha area
    Bansha area is a rural locality and village community situated within County Tipperary in Ireland.
  • D. Dunlop area
    Dunlop area is a locality in the northern part of Kolkata, West Bengal, known for its residential neighborhoods and connectivity to nearby suburbs like Baranagar.
  • E. Sidelhorn area
    The Sidelhorn area is a mountainous region in the central Swiss Alps known for its high-altitude terrain and alpine landscapes.
  • 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: Bondo health area
Target entity description: Bondo health area is a local healthcare administrative unit within the Likati Health Zone in the Democratic Republic of the Congo, responsible for organizing and delivering primary health services to its population.
  • A. Beni Health Zone
    Beni Health Zone is a health administrative area in North Kivu Province of the Democratic Republic of the Congo, known for being heavily affected by recurrent Ebola outbreaks and regional conflict.
  • B. Likati Health Zone
    Likati Health Zone is a remote administrative health district in northern Democratic Republic of the Congo, known for being the origin point of a 2017 Ebola virus disease outbreak in Équateur Province.
  • C. Bansha area
    Bansha area is a rural locality and village community situated within County Tipperary in Ireland.
  • D. Dunlop area
    Dunlop area is a locality in the northern part of Kolkata, West Bengal, known for its residential neighborhoods and connectivity to nearby suburbs like Baranagar.
  • E. Sidelhorn area
    The Sidelhorn area is a mountainous region in the central Swiss Alps known for its high-altitude terrain and alpine landscapes.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5eeb9cf9081908b17073755e83554 completed April 20, 2026, 9:15 a.m.
Created at: April 10, 2026, 12:06 p.m.