Triple

T17683233
Position Surface form Disambiguated ID Type / Status
Subject Olenyoksky District E440822 entity
Predicate borderedBy P224 FINISHED
Object Anabarsky 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: Anabarsky District | Statement: [Olenyoksky District, borderedBy, Anabarsky District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anabarsky District
Context triple: [Olenyoksky District, borderedBy, Anabarsky District]
  • A. Gagarinsky District
    Gagarinsky District is an administrative district in Moscow, Russia, known for its residential areas, educational institutions, and major transport routes.
  • B. Noginsky District
    Noginsky District is an administrative and municipal district in Moscow Oblast, Russia, centered around the town of Noginsk and encompassing surrounding settlements.
  • C. Kashinsky District
    Kashinsky District is an administrative district (raion) in Tver Oblast, Russia, known for its historical town of Kashin and its location in the central part of European Russia.
  • D. 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.
  • E. 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.
  • 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: Anabarsky District
Target entity description: Anabarsky District is a sparsely populated administrative district in the far north of the Sakha Republic (Yakutia), Russia, known for its Arctic climate and remote tundra landscapes.
  • A. Gagarinsky District
    Gagarinsky District is an administrative district in Moscow, Russia, known for its residential areas, educational institutions, and major transport routes.
  • B. Noginsky District
    Noginsky District is an administrative and municipal district in Moscow Oblast, Russia, centered around the town of Noginsk and encompassing surrounding settlements.
  • C. Kashinsky District
    Kashinsky District is an administrative district (raion) in Tver Oblast, Russia, known for its historical town of Kashin and its location in the central part of European Russia.
  • D. 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.
  • E. 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.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4704626308190bbdd98d27beb3f24 completed April 19, 2026, 6:03 a.m.
Created at: April 10, 2026, 10:02 a.m.