Triple

T18369975
Position Surface form Disambiguated ID Type / Status
Subject Komi-Permyak Okrug E446155 entity
Predicate borderedBy P224 FINISHED
Object Yusvinsky District 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: Yusvinsky District | Statement: [Komi-Permyak Okrug, borderedBy, Yusvinsky District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yusvinsky District
Context triple: [Komi-Permyak Okrug, borderedBy, Yusvinsky District]
  • A. Savyolovsky District
    Savyolovsky District is an administrative district in Moscow, Russia, known for its major transport hub centered around the Savyolovsky railway terminal and nearby commercial and residential areas.
  • B. Tikhvinsky District
    Tikhvinsky District is an administrative and municipal district in Leningrad Oblast, Russia, known for its historical towns and location in the eastern part of the region.
  • C. Volkhovsky District
    Volkhovsky District is an administrative and municipal district in northwestern Russia, known for its location along the Volkhov River and its historical and industrial significance within Leningrad Oblast.
  • D. Kalachyovsky District
    Kalachyovsky District is an administrative district in Volgograd Oblast, Russia, known for encompassing the town of Kalach-na-Donu and its surrounding rural areas.
  • E. Danilovsky District
    Danilovsky District is a central administrative district of Moscow, Russia, known for its historic religious sites, including the Danilov Monastery, and its mix of residential, cultural, and commercial areas.
  • 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: Yusvinsky District
Target entity description: Yusvinsky District is an administrative district in Perm Krai, Russia, known for its rural character and location within the historical Komi-Permyak area.
  • A. Savyolovsky District
    Savyolovsky District is an administrative district in Moscow, Russia, known for its major transport hub centered around the Savyolovsky railway terminal and nearby commercial and residential areas.
  • B. Tikhvinsky District
    Tikhvinsky District is an administrative and municipal district in Leningrad Oblast, Russia, known for its historical towns and location in the eastern part of the region.
  • C. Volkhovsky District
    Volkhovsky District is an administrative and municipal district in northwestern Russia, known for its location along the Volkhov River and its historical and industrial significance within Leningrad Oblast.
  • D. Kalachyovsky District
    Kalachyovsky District is an administrative district in Volgograd Oblast, Russia, known for encompassing the town of Kalach-na-Donu and its surrounding rural areas.
  • E. Danilovsky District
    Danilovsky District is a central administrative district of Moscow, Russia, known for its historic religious sites, including the Danilov Monastery, and its mix of residential, cultural, and commercial areas.
  • 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51751e4288190873bcc4dc140ac16 completed April 19, 2026, 5:56 p.m.
Created at: April 10, 2026, 10:44 a.m.