Triple

T19629968
Position Surface form Disambiguated ID Type / Status
Subject Melenki E471239 entity
Predicate locatedOn P40 FINISHED
Object Unzha 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: Unzha River | Statement: [Melenki, locatedOn, Unzha River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unzha River
Context triple: [Melenki, locatedOn, Unzha River]
  • A. Unzha River chosen
    The Unzha River is a significant waterway in central Russia that flows through Kostroma and neighboring regions before joining the Volga River.
  • B. Lukusuzi River
    The Lukusuzi River is a watercourse in eastern Zambia that forms a natural boundary and key ecological feature of Lukusuzi National Park.
  • C. Usutu River
    The Usutu River is a major river in southern Africa that flows through South Africa, Eswatini, and Mozambique before emptying into the Indian Ocean.
  • D. Ngadda River
    The Ngadda River is a waterway in northeastern Nigeria that flows through the city of Maiduguri and contributes to the region’s drainage into Lake Chad.
  • E. Nyamuziwa River
    Nyamuziwa River is a river in eastern Zimbabwe that feeds the spectacular Mutarazi Falls, one of the country’s highest waterfalls in the Eastern Highlands.
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64101a0448190ba19f8917ae85dd6 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.