Triple

T22741562
Position Surface form Disambiguated ID Type / Status
Subject Krasnokamensk–Bichigt E562426 entity
Predicate hasBorderCrossingSide P149547 FINISHED
Object Krasnokamensk NE NERFINISHED

How this triple was built (4 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: Krasnokamensk | Statement: [Krasnokamensk–Bichigt, hasBorderCrossingSide, Krasnokamensk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krasnokamensk
Context triple: [Krasnokamensk–Bichigt, hasBorderCrossingSide, Krasnokamensk]
  • A. Kamensk-Uralsky
    Kamensk-Uralsky is an industrial city in Russia’s Ural region, known for its metallurgical plants and strategic location on the Iset River.
  • B. Krasnokamsk
    Krasnokamsk is an industrial city in western Russia known for its paper, printing, and chemical industries.
  • C. Yalutorovsk
    Yalutorovsk is a historic town in western Siberia, Russia, known for its 17th-century origins as a fortress settlement and its location on the Tobol River.
  • D. Kamyshlov
    Kamyshlov is a small historic town in Russia’s Ural region, known for its traditional wooden architecture and role as a local administrative and cultural center.
  • E. Kamyensk-Shakhtinsky
    Kamyensk-Shakhtinsky is a city in southwestern Russia known as an industrial and transport center within Rostov Oblast.
  • 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: Krasnokamensk
Target entity description: Krasnokamensk is a town in Zabaykalsky Krai, Russia, known for its large uranium mining industry and proximity to the Mongolian border.
  • A. Kamensk-Uralsky
    Kamensk-Uralsky is an industrial city in Russia’s Ural region, known for its metallurgical plants and strategic location on the Iset River.
  • B. Krasnokamsk
    Krasnokamsk is an industrial city in western Russia known for its paper, printing, and chemical industries.
  • C. Yalutorovsk
    Yalutorovsk is a historic town in western Siberia, Russia, known for its 17th-century origins as a fortress settlement and its location on the Tobol River.
  • D. Kamyshlov
    Kamyshlov is a small historic town in Russia’s Ural region, known for its traditional wooden architecture and role as a local administrative and cultural center.
  • E. Kamyensk-Shakhtinsky
    Kamyensk-Shakhtinsky is a city in southwestern Russia known as an industrial and transport center within Rostov Oblast.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBorderCrossingSide
Context triple: [Krasnokamensk–Bichigt, hasBorderCrossingSide, Krasnokamensk]
  • A. hasBorderCrossing
    Indicates that there exists a point or facility where movement or transit is possible between the boundaries of two adjacent regions or jurisdictions.
  • B. hasRailBorderCrossing
    Indicates that two places are connected by at least one official border crossing that is served by rail transport.
  • C. hasBorderCrossingFunction
    Indicates that an entity serves as a location or facility where people, goods, or vehicles can legally cross a border between jurisdictions.
  • D. nearBorderCrossing
    Indicates that an entity is located close to a border crossing point between two regions or countries.
  • E. usesBorderCrossing
    Indicates that one entity makes use of a specific border crossing point to pass from one jurisdiction or territory to another.
  • F. None of above. chosen

Provenance (4 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_69e245513a5c81908d5cb471b4fc429d completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1797400fc8190bec26726f434f787 completed April 29, 2026, 3:22 a.m.
PD Predicate disambiguation batch_69eed2a971c0819088af574e40c9343f completed April 27, 2026, 3:06 a.m.
PDg Predicate description generation batch_69eeeb5681f88190821129ced752f190 completed April 27, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:23 p.m.