Triple

T16707865
Position Surface form Disambiguated ID Type / Status
Subject Tomsk Oblast E406019 entity
Predicate contains P35 FINISHED
Object Seversk
Seversk is a closed city in Russia known for its major nuclear industry facilities and restricted access status.
 E1230554 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: Seversk | Statement: [Tomsk Oblast, contains, Seversk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seversk
Context triple: [Tomsk Oblast, contains, Seversk]
  • A. Novouralsk
    Novouralsk is a closed industrial city in Russia known historically for its role in the Soviet and Russian nuclear industry, particularly uranium enrichment.
  • B. 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.
  • C. Petrovskoye
    Petrovskoye was the original Russian fortress settlement that later developed into the modern city of Makhachkala in Dagestan, Russia.
  • D. Alapayevsk
    Alapayevsk is a small industrial city in Russia’s Ural region, historically known for its metallurgical plants and as the site of the 1918 execution of several Romanov family members.
  • E. Kireyevsk
    Kireyevsk is a small industrial town in western Russia known for its coal-mining history and location within the Tula region.
  • 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: Seversk
Triple: [Tomsk Oblast, contains, Seversk]
Generated description
Seversk is a closed city in Russia known for its major nuclear industry facilities and restricted access status.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Seversk
Target entity description: Seversk is a closed city in Russia known for its major nuclear industry facilities and restricted access status.
  • A. Novouralsk
    Novouralsk is a closed industrial city in Russia known historically for its role in the Soviet and Russian nuclear industry, particularly uranium enrichment.
  • B. 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.
  • C. Petrovskoye
    Petrovskoye was the original Russian fortress settlement that later developed into the modern city of Makhachkala in Dagestan, Russia.
  • D. Alapayevsk
    Alapayevsk is a small industrial city in Russia’s Ural region, historically known for its metallurgical plants and as the site of the 1918 execution of several Romanov family members.
  • E. Kireyevsk
    Kireyevsk is a small industrial town in western Russia known for its coal-mining history and location within the Tula region.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38337ecac8190bc4a9410ed7681ab completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d3adef081908692a4a86d7a0779 completed May 10, 2026, 2:59 p.m.
NEDg Description generation batch_6a009e08b56c8190833d5f64945a979b completed May 10, 2026, 3:02 p.m.
NED2 Entity disambiguation (via description) batch_6a009eb06d6481909914286301f9b4db completed May 10, 2026, 3:05 p.m.
Created at: April 10, 2026, 5:20 a.m.