Triple

T19732757
Position Surface form Disambiguated ID Type / Status
Subject Maniema Province E473894 entity
Predicate borderedBy P224 FINISHED
Object Haut-Lomami Province 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: Haut-Lomami Province | Statement: [Maniema Province, borderedBy, Haut-Lomami Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haut-Lomami Province
Context triple: [Maniema Province, borderedBy, Haut-Lomami Province]
  • A. Haut-Uélé Province
    Haut-Uélé Province is a northeastern province of the Democratic Republic of the Congo known for its remote, sparsely populated territory and history of conflict and mineral exploitation.
  • B. Ogooué-Ivindo Province
    Ogooué-Ivindo Province is a sparsely populated, heavily forested region in northeastern Gabon known for its rich biodiversity and major protected areas.
  • C. Bas-Uélé Province
    Bas-Uélé Province is a sparsely populated, forested province in the northern Democratic Republic of the Congo, bordering the Central African Republic and known for its remote rural communities and biodiversity.
  • D. Lualaba Province
    Lualaba Province is an administrative region in the southeastern Democratic Republic of the Congo known for its rich mineral resources and strategic location along the upper Congo River basin.
  • E. Lomami Province
    Lomami Province is an inland administrative province in the south-central Democratic Republic of the Congo, known for its predominantly rural character and location within the broader Kasai region.
  • 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: Haut-Lomami Province
Target entity description: Haut-Lomami Province is an inland province in the southeastern part of the Democratic Republic of the Congo, known for its rural landscapes and mining activities.
  • A. Haut-Uélé Province
    Haut-Uélé Province is a northeastern province of the Democratic Republic of the Congo known for its remote, sparsely populated territory and history of conflict and mineral exploitation.
  • B. Ogooué-Ivindo Province
    Ogooué-Ivindo Province is a sparsely populated, heavily forested region in northeastern Gabon known for its rich biodiversity and major protected areas.
  • C. Bas-Uélé Province
    Bas-Uélé Province is a sparsely populated, forested province in the northern Democratic Republic of the Congo, bordering the Central African Republic and known for its remote rural communities and biodiversity.
  • D. Lualaba Province
    Lualaba Province is an administrative region in the southeastern Democratic Republic of the Congo known for its rich mineral resources and strategic location along the upper Congo River basin.
  • E. Lomami Province
    Lomami Province is an inland administrative province in the south-central Democratic Republic of the Congo, known for its predominantly rural character and location within the broader Kasai region.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e651596b98819090bcaf05c7b74555 completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.