Triple

T10568131
Position Surface form Disambiguated ID Type / Status
Subject Athi River basin E249404 entity
Predicate includesRiver P165 FINISHED
Object Mathare River E249405 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: Mathare River | Statement: [Athi River basin, includesRiver, Mathare River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mathare River
Context triple: [Athi River basin, includesRiver, Mathare River]
  • A. Mathare River chosen
    Mathare River is an urban river flowing through Nairobi, Kenya, known for passing densely populated informal settlements and facing significant pollution and environmental challenges.
  • B. 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.
  • 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. Ulanga River
    The Ulanga River is a fictional East African waterway famously depicted as the treacherous river route navigated in C.S. Forester’s novel and the classic film "The African Queen."
  • E. 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.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5272ff53c8190ae7c399d49b585f5 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4acb7fdac8190bced7e26c948ee4a completed April 19, 2026, 10:21 a.m.
Created at: April 6, 2026, 12:37 p.m.