Triple

T10568137
Position Surface form Disambiguated ID Type / Status
Subject Athi River basin E249404 entity
Predicate alternativeName P39 FINISHED
Object Athi–Galana–Sabaki River basin E249404 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: Athi–Galana–Sabaki River basin | Statement: [Athi River basin, alternativeName, Athi–Galana–Sabaki River basin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Athi–Galana–Sabaki River basin
Context triple: [Athi River basin, alternativeName, Athi–Galana–Sabaki River basin]
  • A. Athi River basin chosen
    The Athi River basin is a major drainage basin in Kenya that collects waters from rivers such as the Nairobi River and ultimately feeds into the Indian Ocean.
  • 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. Ruganzu River
    Ruganzu River is a waterway in Rwanda that flows through the capital city, Kigali.
  • 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. 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_69d94b4c26ec8190910efdf4a236d654 completed April 10, 2026, 7:11 p.m.
Created at: April 6, 2026, 12:37 p.m.