Triple

T17830010
Position Surface form Disambiguated ID Type / Status
Subject Inchwe River E445226 entity
Predicate hasName P744 FINISHED
Object Inchwe River NE NERFINISHED

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: Inchwe River | Statement: [Inchwe River, hasName, Inchwe River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inchwe River
Context triple: [Inchwe River, hasName, Inchwe River]
  • A. Inchwe River chosen
    The Inchwe River is a watercourse in northeastern Botswana that flows through the city of Francistown and forms part of its local river system.
  • B. Kwekwe River
    Kwekwe River is a watercourse in central Zimbabwe that flows near the city of Kwekwe and contributes to the region’s local water system and ecology.
  • C. Ngwathe River
    The Ngwathe River is a watercourse in South Africa that lends its name to the Ngwathe Local Municipality and forms part of the region’s natural and cultural landscape.
  • D. Ilimpeya River
    The Ilimpeya River is a remote Siberian river in Russia that flows through the Krasnoyarsk Krai region and contributes to the vast Yenisei river basin.
  • E. Likhubula River
    Likhubula River is a mountain river in southern Malawi known for flowing down the slopes of Mount Mulanje, creating waterfalls and providing water to nearby communities and ecosystems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48917c4d88190b919a4b75aed011c completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.