Triple

T19720009
Position Surface form Disambiguated ID Type / Status
Subject Ruganzu River E473581 entity
Predicate passesThrough P225 FINISHED
Object Kigali metropolitan area 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: Kigali metropolitan area | Statement: [Ruganzu River, passesThrough, Kigali metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kigali metropolitan area
Context triple: [Ruganzu River, passesThrough, Kigali metropolitan area]
  • A. Kigali chosen
    Kigali is the capital and largest city of Rwanda, known as a major political and economic hub in East Africa.
  • B. Kigali Central Business District
    Kigali Central Business District is the main commercial and financial hub of Kigali, featuring high-rise offices, major businesses, and key government institutions.
  • C. Kigali sector
    Kigali sector is an administrative subdivision within Rwanda’s capital area, forming part of the urban governance structure of Gasabo District in Kigali City.
  • D. Gisenyi
    Gisenyi is a city in northwestern Rwanda on the shores of Lake Kivu, historically significant as one of the key sites affected during the 1994 Rwandan genocide.
  • E. Bujumbura
    Bujumbura is the largest city and former capital of Burundi, located on the northeastern shore of Lake Tanganyika.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e64410e5548190b60e13603b6c0053 completed April 20, 2026, 3:19 p.m.
Created at: April 10, 2026, 1:46 p.m.