Triple

T19628581
Position Surface form Disambiguated ID Type / Status
Subject Belihuloya area E471203 entity
Predicate hasRiver P165 FINISHED
Object Walawe 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: Walawe River | Statement: [Belihuloya area, hasRiver, Walawe River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walawe River
Context triple: [Belihuloya area, hasRiver, Walawe River]
  • A. Walawe River chosen
    The Walawe River is one of the major rivers in southern Sri Lanka, flowing from the central highlands to the Indian Ocean and supporting extensive irrigation and agriculture along its course.
  • B. Mgwali River
    The Mgwali River is a tributary watercourse in South Africa that feeds into the larger Mbashe River system.
  • C. Kwisa River
    The Kwisa River is a river in southwestern Poland that flows through the historical region of Lower Silesia before joining the Bóbr River.
  • D. Moawhango River
    The Moawhango River is a river in New Zealand’s central North Island that flows through rugged hill country and feeds into the larger Rangitīkei River system.
  • E. Kilombero River
    The Kilombero River is a major river in southern Tanzania known for its vast floodplain, rich biodiversity, and importance as a wildlife habitat and agricultural area.
  • 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_69e641007e5881908da78e50aa36f340 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.