Triple

T11884358
Position Surface form Disambiguated ID Type / Status
Subject Lopan River E282739 entity
Predicate tributaryOf P415 FINISHED
Object Udy 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: Udy River | Statement: [Lopan River, tributaryOf, Udy River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Udy River
Context triple: [Lopan River, tributaryOf, Udy River]
  • A. Udy River chosen
    The Udy River is a waterway in northeastern Ukraine that flows through the city of Kharkiv and forms part of the region’s local river system.
  • B. Durolle River
    The Durolle River is a waterway in central France that flows through the town of Thiers, historically powering its renowned cutlery and knife-making industry.
  • C. Wilge River
    The Wilge River is a significant river in South Africa that flows through the Free State and Mpumalanga provinces before joining the Vaal River.
  • D. Vysun River
    The Vysun River is a minor river in southern Ukraine that serves as a tributary of the larger Inhulets River within the Dnieper basin.
  • E. Belina River
    The Belina River is a small watercourse in southern Slovakia that flows through the town of Fiľakovo.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d3a02ad4819090faef0e0be732ee completed April 10, 2026, 10:40 a.m.
Created at: April 8, 2026, 9:44 p.m.