Triple

T2601785
Position Surface form Disambiguated ID Type / Status
Subject Vorkuta camps E58359 entity
Predicate locatedIn P40 FINISHED
Object Vorkuta
Vorkuta is a remote Arctic city in Russia historically known as one of the largest centers of the Soviet Gulag labor camp system.
 E282195 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: Vorkuta | Statement: [Vorkuta camps, locatedIn, Vorkuta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vorkuta
Context triple: [Vorkuta camps, locatedIn, Vorkuta]
  • A. Odintsovo
    Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
  • B. Salekhard
    Salekhard is a Russian Arctic city located on the Ob River and notable as the only city in the world situated directly on the Arctic Circle.
  • C. Novonikolaevsk
    Novonikolaevsk was a major early 20th-century city in Siberia—now known as Novosibirsk—that served as an important administrative and military center during the Russian Civil War.
  • D. Boksitogorsk
    Boksitogorsk is a small industrial town in northwestern Russia known for its bauxite mining and alumina production.
  • E. Tobolsk, Siberia
    Tobolsk, Siberia is a historic Russian town in western Siberia known for its former status as a regional capital and place of exile, including for members of the last imperial family.
  • 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: Vorkuta
Triple: [Vorkuta camps, locatedIn, Vorkuta]
Generated description
Vorkuta is a remote Arctic city in Russia historically known as one of the largest centers of the Soviet Gulag labor camp system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vorkuta
Target entity description: Vorkuta is a remote Arctic city in Russia historically known as one of the largest centers of the Soviet Gulag labor camp system.
  • A. Odintsovo
    Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
  • B. Salekhard
    Salekhard is a Russian Arctic city located on the Ob River and notable as the only city in the world situated directly on the Arctic Circle.
  • C. Novonikolaevsk
    Novonikolaevsk was a major early 20th-century city in Siberia—now known as Novosibirsk—that served as an important administrative and military center during the Russian Civil War.
  • D. Boksitogorsk
    Boksitogorsk is a small industrial town in northwestern Russia known for its bauxite mining and alumina production.
  • E. Tobolsk, Siberia
    Tobolsk, Siberia is a historic Russian town in western Siberia known for its former status as a regional capital and place of exile, including for members of the last imperial family.
  • 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_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd459ca6c81908505be96d097b739 completed March 7, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83d37de081909467f8caa17ce3a9 completed March 10, 2026, 2:37 a.m.
NEDg Description generation batch_69af8501adc4819092035d7e55524fc8 completed March 10, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_69af85a6060c8190a80d5633d1b8a9d5 completed March 10, 2026, 2:44 a.m.
Created at: March 6, 2026, 9:49 p.m.