Triple

T989909
Position Surface form Disambiguated ID Type / Status
Subject North Caucasus E21364 entity
Predicate hasRiver P165 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: [North Caucasus, hasRiver, Kuban River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuban River
Context triple: [North Caucasus, hasRiver, 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4ac27e081908f132115464667b2 completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69acddfeb918819083f948183aaaeb09 completed March 8, 2026, 2:25 a.m.
Created at: March 1, 2026, 7:41 p.m.