Triple

T21360967
Position Surface form Disambiguated ID Type / Status
Subject Unga River E526775 entity
Predicate partOf P40 FINISHED
Object Kirenga River basin — 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: Kirenga River basin | Statement: [Unga River, partOf, Kirenga River basin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kirenga River basin
Context triple: [Unga River, partOf, Kirenga River basin]
  • A. Mologa River basin
    The Mologa River basin is a river catchment area in northwestern Russia that drains into the Volga system and encompasses numerous tributaries, wetlands, and forested landscapes.
  • B. Mwenezi River basin
    The Mwenezi River basin is a drainage area in southern Africa that collects and channels the waters of the Mwenezi River and its tributaries across parts of Zimbabwe and Mozambique.
  • C. Walawe River basin
    The Walawe River basin is a major river catchment area in southern Sri Lanka, supporting irrigation, hydropower, and agriculture across a largely rural landscape.
  • D. Manyame River basin
    The Manyame River basin is a river catchment area in northern Zimbabwe that drains into the Zambezi River and supports surrounding rural districts, agriculture, and water supply.
  • E. Mkata River basin
    The Mkata River basin is a drainage area in eastern Tanzania that encompasses the Mkata River and its surrounding floodplains, supporting agriculture, wetlands, and local biodiversity.
  • 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: Kirenga River basin
Target entity description: The Kirenga River basin is a drainage area in Siberia, Russia, encompassing the network of rivers and streams that feed into the Kirenga River.
  • A. Mologa River basin
    The Mologa River basin is a river catchment area in northwestern Russia that drains into the Volga system and encompasses numerous tributaries, wetlands, and forested landscapes.
  • B. Mwenezi River basin
    The Mwenezi River basin is a drainage area in southern Africa that collects and channels the waters of the Mwenezi River and its tributaries across parts of Zimbabwe and Mozambique.
  • C. Walawe River basin
    The Walawe River basin is a major river catchment area in southern Sri Lanka, supporting irrigation, hydropower, and agriculture across a largely rural landscape.
  • D. Manyame River basin
    The Manyame River basin is a river catchment area in northern Zimbabwe that drains into the Zambezi River and supports surrounding rural districts, agriculture, and water supply.
  • E. Mkata River basin
    The Mkata River basin is a drainage area in eastern Tanzania that encompasses the Mkata River and its surrounding floodplains, supporting agriculture, wetlands, and local biodiversity.
  • 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_69e0b51d8a308190b09113b3b3f9bc15 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8afa6afcc8190a1f5c599c11d2135 completed April 22, 2026, 11:23 a.m.
Created at: April 16, 2026, 5:08 p.m.