Triple

T18392829
Position Surface form Disambiguated ID Type / Status
Subject Свирь E449779 entity
Predicate flowsThrough P225 FINISHED
Object Олонецкий район NE NERFINISHED

How this triple was built (3 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: Олонецкий район | Statement: [Свирь, flowsThrough, Олонецкий район]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Олонецкий район
Context triple: [Свирь, flowsThrough, Олонецкий район]
  • A. Ruzsky District
    Ruzsky District is an administrative and municipal district in Moscow Oblast, Russia, known for its mix of small towns, rural settlements, and historical sites west of Moscow.
  • B. Nanaysky District
    Nanaysky District is an administrative and municipal district in Khabarovsk Krai, Russia, known for its rural settlements along the Amur River and its indigenous Nanai population.
  • C. Ulchsky District
    Ulchsky District is an administrative district in Khabarovsk Krai in Russia, located along the lower Amur River and known for its indigenous Ulch population and remote, sparsely populated territory.
  • D. Aldansky District
    Aldansky District is an administrative district in the Sakha Republic (Yakutia), Russia, known for its vast territory, harsh climate, and significant mining and industrial activities centered around the town of Aldan.
  • E. Leshukonsky District
    Leshukonsky District is a sparsely populated administrative district in Arkhangelsk Oblast, Russia, known for its remote northern location, taiga landscapes, and traditional rural settlements.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Олонецкий район
Target entity description: Олонецкий район — административный район в Республике Карелия России, известный своими озёрами, реками и лесистыми ландшафтами.
  • A. Ruzsky District
    Ruzsky District is an administrative and municipal district in Moscow Oblast, Russia, known for its mix of small towns, rural settlements, and historical sites west of Moscow.
  • B. Nanaysky District
    Nanaysky District is an administrative and municipal district in Khabarovsk Krai, Russia, known for its rural settlements along the Amur River and its indigenous Nanai population.
  • C. Ulchsky District
    Ulchsky District is an administrative district in Khabarovsk Krai in Russia, located along the lower Amur River and known for its indigenous Ulch population and remote, sparsely populated territory.
  • D. Aldansky District
    Aldansky District is an administrative district in the Sakha Republic (Yakutia), Russia, known for its vast territory, harsh climate, and significant mining and industrial activities centered around the town of Aldan.
  • E. Leshukonsky District
    Leshukonsky District is a sparsely populated administrative district in Arkhangelsk Oblast, Russia, known for its remote northern location, taiga landscapes, and traditional rural settlements.
  • F. None of above. chosen

Provenance (2 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e518435cf481908393c1eb2b4ba659 completed April 19, 2026, 6 p.m.
Created at: April 10, 2026, 10:46 a.m.