Triple

T5961879
Position Surface form Disambiguated ID Type / Status
Subject Mari El E132656 entity
Predicate locatedOn P40 FINISHED
Object Volga River 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 | Statement: [Mari El, locatedOn, Volga River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Volga River
Context triple: [Mari El, locatedOn, Volga River]
  • 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. Velikaya River
    The Velikaya River is a major waterway in northwestern Russia that flows through Pskov Oblast into Lake Peipus, historically serving as an important trade and strategic route.
  • 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. 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.
  • 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_69c0086c2364819091e9fe2f58fa2517 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c039ff421c819085fc92f0b707d31b completed March 22, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11355c5e88190b316cf7f2f364eca completed March 23, 2026, 10:17 a.m.
Created at: March 22, 2026, 4:02 p.m.