Triple

T12163950
Position Surface form Disambiguated ID Type / Status
Subject Karuma Hydropower Station E289780 entity
Predicate feedsRegion P53095 FINISHED
Object Uganda E10768 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: Uganda | Statement: [Karuma Hydropower Station, feedsRegion, Uganda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uganda
Context triple: [Karuma Hydropower Station, feedsRegion, Uganda]
  • A. Uganda chosen
    Uganda is a landlocked country in East Africa known for its diverse landscapes, abundant wildlife, and location along the equator.
  • B. Uganda and Democratic Republic of the Congo
    Uganda and the Democratic Republic of the Congo are neighboring Central-East African countries that share extensive natural frontiers, rich biodiversity, and significant cross-border cultural and economic ties.
  • C. Oluganda
    Oluganda is the endonym for Luganda, a major Bantu language spoken primarily by the Baganda people in central Uganda.
  • D. Nzera
    Nzera is a settlement located within Tanzania’s Geita Region in East Africa.
  • E. Kenya
    Kenya is an East African country known for its diverse wildlife, scenic landscapes from savannas to highlands, and a coastline along the Indian Ocean.
  • 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: feedsRegion
Context triple: [Karuma Hydropower Station, feedsRegion, Uganda]
  • A. hasRegionalFeed chosen
    Indicates that an entity provides or is associated with a feed that is specific to a particular geographic region.
  • B. exportRegion
    Indicates the region or geographic area from which goods, services, or resources are exported.
  • C. feedsReservoir
    Indicates that one entity supplies or channels a flow (such as water or another resource) into a reservoir.
  • D. feedsAccelerator
    Indicates that one entity supplies or directs input, resources, or power into an accelerator system for its operation.
  • E. region1
    Indicates that one entity is the first or primary region associated with, containing, or encompassing another 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915d7109481908bf5fe512bba3c89 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f649dbf081908e76c45e362217c1 completed May 2, 2026, 1:04 p.m.
PD Predicate disambiguation batch_69d9150c18148190bf8152189c0e5fca completed April 10, 2026, 3:19 p.m.
Created at: April 8, 2026, 9:50 p.m.