Triple

T2482135
Position Surface form Disambiguated ID Type / Status
Subject Volgograd Reservoir E55840 entity
Predicate riverSystem P1009 FINISHED
Object Volga River system E9405 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: Volga River system | Statement: [Volgograd Reservoir, riverSystem, Volga River system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Volga River system
Context triple: [Volgograd Reservoir, riverSystem, Volga River system]
  • A. Volga River chosen
    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.
  • 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. Kazan River
    The Kazan River is a major river in the Republic of Tatarstan, Russia, flowing through the city of Kazan before emptying into the Volga River.
  • D. Kuban River
    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.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd163378481908b75f2f5de0e89c6 completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af654726988190a7166434ecf0582c completed March 10, 2026, 12:26 a.m.
Created at: March 6, 2026, 9:45 p.m.