Triple

T10543049
Position Surface form Disambiguated ID Type / Status
Subject Haut-Ogooué Province E248743 entity
Predicate containsMiningCenter P56901 FINISHED
Object Moanda E871351 NE FINISHED

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: Moanda | Statement: [Haut-Ogooué Province, containsMiningCenter, Moanda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moanda
Context triple: [Haut-Ogooué Province, containsMiningCenter, Moanda]
  • A. Moanda chosen
    Moanda is a major mining town in southeastern Gabon known for its rich manganese deposits and role in the country’s extractive industry.
  • B. Butembo
    Butembo is a major commercial city in eastern Democratic Republic of the Congo, known as a trading hub and economic center in North Kivu.
  • C. Ekondo-Titi
    Ekondo-Titi is a coastal town and commune in Cameroon's Southwest Region, known for its agricultural activities and location near the Ndian River and the Atlantic coast.
  • D. Benina
    Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
  • E. Lambaréné
    Lambaréné is a town in western Gabon best known for its location on the Ogooué River and for hosting the historic Albert Schweitzer Hospital.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsMiningCenter
Context triple: [Haut-Ogooué Province, containsMiningCenter, Moanda]
  • A. hasMiningDistrict
    Indicates that an entity possesses, contains, or is associated with a designated mining district within its domain or jurisdiction.
  • B. hasMiningArea chosen
    Indicates that an entity possesses, controls, or is associated with a designated area where mining activities take place.
  • C. hasMiningCommunities
    Indicates that one entity possesses, contains, or is associated with communities whose primary activity is mining.
  • D. hasCoalMiningCompany
    Indicates that an entity is associated with or owns a company whose primary business is coal mining.
  • E. hasMiningActivity
    Indicates that some form of mining operation or extraction activity is occurring at, involving, or associated with the referenced entity.
  • F. None of above.

Provenance (4 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5190f46d08190a92b1191881ffb92 completed April 7, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e68d1288190920c26cbfd396a21 completed April 10, 2026, 8:32 p.m.
PD Predicate disambiguation batch_69d4fb9729288190a0149f127acd7ae3 completed April 7, 2026, 12:41 p.m.
Created at: April 6, 2026, 12:32 p.m.