Triple

T15617896
Position Surface form Disambiguated ID Type / Status
Subject Verkhoyansky District E375464 entity
Predicate borderedBy P224 FINISHED
Object Ust-Yansky 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: Ust-Yansky District | Statement: [Verkhoyansky District, borderedBy, Ust-Yansky District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ust-Yansky District
Context triple: [Verkhoyansky District, borderedBy, Ust-Yansky District]
  • A. Ust-Dzhegutinsky District
    Ust-Dzhegutinsky District is an administrative district in the Karachay-Cherkess Republic of Russia, with the town of Ust-Dzheguta serving as its administrative center.
  • B. Oymyakonsky District
    Oymyakonsky District is a remote administrative district in Russia’s Sakha Republic, known for its extremely cold climate and sparsely populated Arctic landscapes.
  • 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. Tuapsinsky District
    Tuapsinsky District is an administrative district in Krasnodar Krai, Russia, located on the Black Sea coast and known for its port town of Tuapse and surrounding mountainous terrain.
  • E. Iultinsky District
    Iultinsky District is a remote administrative district in Russia’s Chukotka Autonomous Okrug, known for its Arctic climate, sparse population, and mining and port settlements like Egvekinot.
  • 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: Ust-Yansky District
Target entity description: Ust-Yansky District is a remote administrative district in the Sakha Republic (Yakutia), Russia, known for its Arctic climate, sparse population, and location along the lower Yana River and Arctic coastline.
  • A. Ust-Dzhegutinsky District
    Ust-Dzhegutinsky District is an administrative district in the Karachay-Cherkess Republic of Russia, with the town of Ust-Dzheguta serving as its administrative center.
  • B. Oymyakonsky District
    Oymyakonsky District is a remote administrative district in Russia’s Sakha Republic, known for its extremely cold climate and sparsely populated Arctic landscapes.
  • 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. Tuapsinsky District
    Tuapsinsky District is an administrative district in Krasnodar Krai, Russia, located on the Black Sea coast and known for its port town of Tuapse and surrounding mountainous terrain.
  • E. Iultinsky District
    Iultinsky District is a remote administrative district in Russia’s Chukotka Autonomous Okrug, known for its Arctic climate, sparse population, and mining and port settlements like Egvekinot.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e980b748190b43c0b650bf1e629 completed April 16, 2026, 2:51 a.m.
Created at: April 10, 2026, 4:13 a.m.