Triple

T10706622
Position Surface form Disambiguated ID Type / Status
Subject Ngong River E252423 entity
Predicate partOf P40 FINISHED
Object Nairobi River system E40225 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: Nairobi River system | Statement: [Ngong River, partOf, Nairobi River system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nairobi River system
Context triple: [Ngong River, partOf, Nairobi River system]
  • A. Nairobi River chosen
    The Nairobi River is a major waterway flowing through Kenya’s capital city, historically central to its development but now heavily impacted by urban pollution and restoration efforts.
  • B. Ngong River
    Ngong River is a tributary watercourse in Kenya that flows through parts of Nairobi’s urban and peri-urban areas before joining the Nairobi River system.
  • C. Thika River
    Thika River is a Kenyan river that flows from the slopes of Mount Kenya through central Kenya, supporting agriculture, ecosystems, and local communities before joining the Tana River system.
  • D. Mologa River
    The Mologa River is a significant waterway in western Russia that flows through several regions before emptying into the Rybinsk Reservoir on the Volga River.
  • E. Ruganzu River
    Ruganzu River is a waterway in Rwanda that flows through the capital city, Kigali.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fddfbed48190810bb3faee473fde completed April 9, 2026, 1:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb703b1ec8190b11fbb381c929a90 completed April 12, 2026, 3:15 p.m.
Created at: April 8, 2026, 9:12 p.m.