Triple

T2070600
Position Surface form Disambiguated ID Type / Status
Subject Karymsky E44806 entity
Predicate hasRussianName P20560 FINISHED
Object Карымский
Карымский — действующий стратовулкан на Камчатке, один из самых активных вулканов России.
 E233164 NE FINISHED

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: Карымский | Statement: [Karymsky, hasRussianName, Карымский]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Карымский
Context triple: [Karymsky, hasRussianName, Карымский]
  • A. Urzhum
    Urzhum is a small historic town in Kirov Oblast, Russia, known as the birthplace of prominent Soviet leader Sergei Kirov.
  • B. Yura
    Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
  • C. Saryk
    The Saryk are a historically significant Turkmen tribe known for their distinct cultural traditions and contributions to the ethnogenesis of the Turkmen people in Central Asia.
  • D. Kholmogory
    Kholmogory is a historic Russian town in the Arkhangelsk region that served as an important early northern trading and administrative center.
  • E. Ozyornaya
    Ozyornaya is a Moscow Metro station on the Kalininsko–Solntsevskaya Line serving the western part of the city.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Карымский
Triple: [Karymsky, hasRussianName, Карымский]
Generated description
Карымский — действующий стратовулкан на Камчатке, один из самых активных вулканов России.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Карымский
Target entity description: Карымский — действующий стратовулкан на Камчатке, один из самых активных вулканов России.
  • A. Urzhum
    Urzhum is a small historic town in Kirov Oblast, Russia, known as the birthplace of prominent Soviet leader Sergei Kirov.
  • B. Yura
    Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
  • C. Saryk
    The Saryk are a historically significant Turkmen tribe known for their distinct cultural traditions and contributions to the ethnogenesis of the Turkmen people in Central Asia.
  • D. Kholmogory
    Kholmogory is a historic Russian town in the Arkhangelsk region that served as an important early northern trading and administrative center.
  • E. Ozyornaya
    Ozyornaya is a Moscow Metro station on the Kalininsko–Solntsevskaya Line serving the western part of the city.
  • F. None of above. chosen

Provenance (5 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_69a88916c2b48190a5ca2e9b12cad3ed completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9f677108190aea3c8db7850c892 completed March 7, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae30547b288190ab9466686f749768 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae30f6b7c4819080cb7cb7adc1f6d3 completed March 9, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69ae31849d7c8190a4e3c90334bf21a5 completed March 9, 2026, 2:33 a.m.
Created at: March 4, 2026, 7:41 p.m.