Triple

T19241206
Position Surface form Disambiguated ID Type / Status
Subject Bembe E481134 entity
Predicate associatedWaterBody P1778 FINISHED
Object Lake Kivu NE NERFINISHED

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 Kivu | Statement: [Bembe, associatedWaterBody, Lake Kivu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Kivu
Context triple: [Bembe, associatedWaterBody, Lake Kivu]
  • A. Lake Kivu chosen
    Lake Kivu is a large freshwater lake on the border between Rwanda and the Democratic Republic of the Congo, notable for its scenic volcanic surroundings and vast reserves of dissolved methane gas.
  • B. Lake Burera
    Lake Burera is a scenic freshwater lake in northern Rwanda, known for its volcanic highland setting near the Ugandan border and its proximity to Lake Ruhondo and the Virunga Mountains.
  • C. Lake Rwanyakizinga
    Lake Rwanyakizinga is a freshwater lake in eastern Rwanda that forms part of the wetland and savanna landscape within Akagera National Park.
  • D. Lake Kyoga
    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.
  • E. Kivu
    Kivu is a conflict-affected region in eastern Democratic Republic of the Congo known for its rich natural resources, humanitarian crises, and recurrent outbreaks of violence and disease.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5faf14564819085009adf822804ab completed April 20, 2026, 10:07 a.m.
Created at: April 10, 2026, 1:26 p.m.