Triple

T19156944
Position Surface form Disambiguated ID Type / Status
Subject Likati Health Zone E468949 entity
Predicate hasHealthArea P134642 FINISHED
Object Banalia 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: Banalia health area | Statement: [Likati Health Zone, hasHealthArea, Banalia health area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banalia health area
Context triple: [Likati Health Zone, hasHealthArea, Banalia health area]
  • A. 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.
  • B. 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.
  • C. Antissa area
    Antissa area is a notable section of the Lesvos Petrified Forest Geopark in Greece, known for its significant fossilized tree remains and distinctive geological features.
  • D. Gunbalanya Health Clinic
    Gunbalanya Health Clinic is a primary healthcare facility serving the remote Indigenous community of Gunbalanya in West Arnhem Land, Northern Territory, Australia.
  • E. Laiza area
    The Laiza area is a strategic town in northern Myanmar near the Chinese border that serves as the main stronghold and de facto capital of the Kachin Independence Army and its allied political organizations.
  • 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: Banalia health area
Target entity description: Banalia health area is a local primary healthcare catchment area within the Likati Health Zone in the Democratic Republic of the Congo.
  • A. 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.
  • B. 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.
  • C. Antissa area
    Antissa area is a notable section of the Lesvos Petrified Forest Geopark in Greece, known for its significant fossilized tree remains and distinctive geological features.
  • D. Gunbalanya Health Clinic
    Gunbalanya Health Clinic is a primary healthcare facility serving the remote Indigenous community of Gunbalanya in West Arnhem Land, Northern Territory, Australia.
  • E. Laiza area
    The Laiza area is a strategic town in northern Myanmar near the Chinese border that serves as the main stronghold and de facto capital of the Kachin Independence Army and its allied political organizations.
  • 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.