Triple

T5175188
Position Surface form Disambiguated ID Type / Status
Subject Kharkiv Oblast E116779 entity
Predicate locatedOnRiver P165 FINISHED
Object Udy River E417737 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: Udy River | Statement: [Kharkiv Oblast, locatedOnRiver, Udy River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Udy River
Context triple: [Kharkiv Oblast, locatedOnRiver, 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. 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.
  • C. 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.
  • D. Tysa River
    The Tysa River is a major tributary of the Tisza in Eastern Europe, flowing through the Carpathian region and draining the slopes of Ukraine’s highest peak, Hoverla.
  • E. Uji River
    The Uji River is a scenic waterway in Japan’s Kyoto Prefecture, famed for its historic tea-producing town of Uji and its cultural and literary significance.
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7971284481909e6d07b2368a4f76 completed March 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf5674c408190bdea241134fba474 completed March 30, 2026, 10:12 p.m.
Created at: March 20, 2026, 1:45 p.m.