Triple

T11229254
Position Surface form Disambiguated ID Type / Status
Subject Nyando District E265777 entity
Predicate river P165 FINISHED
Object Nyando River E960002 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: Nyando River | Statement: [Nyando District, river, Nyando River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nyando River
Context triple: [Nyando District, river, Nyando River]
  • A. Nyando River chosen
    Nyando River is a river in western Kenya that flows into Lake Victoria and is known for its frequent flooding and importance to local agriculture and communities.
  • 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. Nyabarongo River
    The Nyabarongo River is a major river in Rwanda that forms part of the upper headwaters of the Nile and plays a key role in the region’s hydrology and agriculture.
  • 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. Nyamugasani River
    Nyamugasani River is a river in the African Great Lakes region that serves as one of the tributaries feeding into Lake Edward.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e900fbcc8190a3177f8a73564433 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49c59538081909102a6954f564e46 completed May 1, 2026, 12:28 p.m.
Created at: April 8, 2026, 9:30 p.m.