Triple

T12889490
Position Surface form Disambiguated ID Type / Status
Subject Karuma Falls E308319 entity
Predicate downstreamFrom P5956 FINISHED
Object Lake Kyoga E65092 NE FINISHED

How this triple was built (2 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: Lake Kyoga | Statement: [Karuma Falls, downstreamFrom, Lake Kyoga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Kyoga
Context triple: [Karuma Falls, downstreamFrom, Lake Kyoga]
  • A. Lake Kyoga chosen
    Lake Kyoga is a large, shallow freshwater lake in central Uganda that forms part of the Nile River system and supports important fisheries, wetlands, and local transportation.
  • B. Lake Rwanyakizinga
    Lake Rwanyakizinga is a freshwater lake in eastern Rwanda that forms part of the wetland and savanna landscape within Akagera National Park.
  • C. Lake Eyasi
    Lake Eyasi is a shallow, seasonal saline lake in northern Tanzania, known for its remote setting near the Serengeti and as home to the Hadza hunter-gatherer people.
  • D. Lake Nabugabo
    Lake Nabugabo is a small freshwater lake in central Uganda, near Lake Victoria, known for its unique biodiversity and ecological research significance.
  • E. Lake Mutirikwi
    Lake Mutirikwi is a large man-made reservoir in southeastern Zimbabwe, known for its scenic surroundings, recreational activities, and proximity to Masvingo and the Great Zimbabwe ruins.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9714581988190afc720ffd7797860 completed April 10, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a5598ad08190bad57ccfb4e4e2b6 completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:39 p.m.