Triple

T17168776
Position Surface form Disambiguated ID Type / Status
Subject Akusha Dargwa E416672 entity
Predicate administrativeRegion P285 FINISHED
Object Akushinsky 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: Akushinsky District | Statement: [Akusha Dargwa, administrativeRegion, Akushinsky District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akushinsky District
Context triple: [Akusha Dargwa, administrativeRegion, Akushinsky District]
  • A. Gatchinsky District
    Gatchinsky District is an administrative and municipal district in northwestern Russia known for its historical town of Gatchina and proximity to Saint Petersburg.
  • B. Kirillovsky District
    Kirillovsky District is an administrative district in Vologda Oblast, Russia, known for its historic towns, monasteries, and northern Russian cultural heritage.
  • 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. Shchyolkovsky District
    Shchyolkovsky District is an administrative and municipal district in Moscow Oblast, Russia, centered around the town of Shchyolkovo and forming part of the greater Moscow metropolitan area.
  • E. Udomelsky District
    Udomelsky District is an administrative district in Tver Oblast, Russia, centered around the town of Udomlya and known for its industrial facilities and surrounding lakes and forests.
  • 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: Akushinsky District
Target entity description: Akushinsky District is an administrative district in the Republic of Dagestan, Russia, known for its predominantly Dargwa-speaking population and mountainous rural landscape.
  • A. Gatchinsky District
    Gatchinsky District is an administrative and municipal district in northwestern Russia known for its historical town of Gatchina and proximity to Saint Petersburg.
  • B. Kirillovsky District
    Kirillovsky District is an administrative district in Vologda Oblast, Russia, known for its historic towns, monasteries, and northern Russian cultural heritage.
  • 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. Shchyolkovsky District
    Shchyolkovsky District is an administrative and municipal district in Moscow Oblast, Russia, centered around the town of Shchyolkovo and forming part of the greater Moscow metropolitan area.
  • E. Udomelsky District
    Udomelsky District is an administrative district in Tver Oblast, Russia, centered around the town of Udomlya and known for its industrial facilities and surrounding lakes and forests.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f9173ee48190bc46622c78479603 completed April 18, 2026, 9:35 p.m.
Created at: April 10, 2026, 5:37 a.m.