Triple

T3000912
Position Surface form Disambiguated ID Type / Status
Subject Mount Kenya E81182 entity
Predicate isSourceOfRiver P25636 FINISHED
Object Nanyuki River E321781 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: Nanyuki River | Statement: [Mount Kenya, isSourceOfRiver, Nanyuki River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nanyuki River
Context triple: [Mount Kenya, isSourceOfRiver, Nanyuki River]
  • A. 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.
  • B. Nairobi River
    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.
  • C. 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.
  • D. Thika River chosen
    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.
  • E. Mbagathi River
    Mbagathi River is a watercourse in Kenya that forms part of the southern boundary of Nairobi National Park and supports its wildlife and ecosystems.
  • 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9e11c4188190a3ae8fd0cbd8c2c0 completed March 8, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eee3e7dc8190941407d73fc56e0f completed March 11, 2026, 10:38 p.m.
Created at: March 8, 2026, 2:59 p.m.