Triple

T12237756
Position Surface form Disambiguated ID Type / Status
Subject Ludza River E291643 entity
Predicate tributaryOf P415 FINISHED
Object Daugava River E364609 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: Daugava River | Statement: [Ludza River, tributaryOf, Daugava River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daugava River
Context triple: [Ludza River, tributaryOf, Daugava River]
  • A. Daugava River
    The Daugava River is a major Eastern European river flowing through Russia, Belarus, and Latvia before emptying into the Baltic Sea.
  • B. Western Dvina River chosen
    The Western Dvina River, also known as the Daugava, is a major Eastern European river flowing from Russia through Belarus and Latvia into the Baltic Sea.
  • C. Northern Dvina River
    The Northern Dvina River is a major waterway in northwestern Russia that flows into the White Sea and has long served as an important route for trade and transport.
  • D. Bobr River
    The Bobr River is a tributary watercourse in Belarus that flows through the central part of the country before joining the Berezina River.
  • E. Neman River
    The Neman River is a major river in Eastern Europe that flows through Belarus and Lithuania before emptying into the Baltic Sea.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb45340819093365f8efdf85f75 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6685045cc8190836433b5682d8a7a completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:51 p.m.