Triple

T539641
Position Surface form Disambiguated ID Type / Status
Subject Sea of Azov E12600 entity
Predicate receivesRiver P4359 FINISHED
Object Kuban River E57489 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: Kuban River | Statement: [Sea of Azov, receivesRiver, Kuban River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuban River
Context triple: [Sea of Azov, receivesRiver, Kuban River]
  • A. Kuban River chosen
    The Kuban River is a major river in the North Caucasus region of Russia that flows through the Krasnodar Krai before emptying into the Sea of Azov.
  • B. Ural River
    The Ural River is a major river in Russia and Kazakhstan that traditionally marks part of the boundary between the European and Asian continents.
  • C. Volga River
    The Volga River is the longest river in Europe, flowing through central Russia to the Caspian Sea and serving as a vital waterway for transport, industry, and culture.
  • D. Samara River
    The Samara River is a significant river in European Russia that flows through the Samara region before joining the Volga River.
  • E. Lena River
    The Lena River is one of the longest rivers in the world, flowing through Siberia in northeastern Russia to the Arctic Ocean.
  • 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a496dd31c88190b3114805aa31931c completed March 1, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5089bce6c8190a5c4f708fb94668b completed March 2, 2026, 3:48 a.m.
Created at: March 1, 2026, 7:32 p.m.