Triple

T7320932
Position Surface form Disambiguated ID Type / Status
Subject Sverdlovsk Oblast E168541 entity
Predicate hasCity P316 FINISHED
Object Degtyarsk
Degtyarsk is a small industrial town in Russia’s Sverdlovsk Oblast, historically known for its mining activities.
E664692 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: Degtyarsk | Statement: [Sverdlovsk Oblast, hasCity, Degtyarsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Degtyarsk
Context triple: [Sverdlovsk Oblast, hasCity, Degtyarsk]
  • A. Apatity
    Apatity is an industrial and scientific town in Russia’s Murmansk Oblast, known for its phosphate mining and research institutes within the Arctic Kola Peninsula region.
  • B. Krasnoufimsk
    Krasnoufimsk is a small historic town in Russia’s Ural region, known for its traditional architecture and role as a local administrative and cultural center.
  • C. Ust-Luga
    Ust-Luga is a major Russian Baltic Sea port town that serves as a key cargo and energy export hub for the Leningrad Oblast region.
  • D. Vilyuchinsk
    Vilyuchinsk is a closed Russian naval town on the Kamchatka Peninsula, known primarily as a base for the Pacific Fleet’s nuclear submarines.
  • E. Kholmsk
    Kholmsk is a port town on the western coast of Sakhalin Island in Russia, serving as an important maritime transport hub in the Sea of Japan.
  • 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: Degtyarsk
Triple: [Sverdlovsk Oblast, hasCity, Degtyarsk]
Generated description
Degtyarsk is a small industrial town in Russia’s Sverdlovsk Oblast, historically known for its mining activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Degtyarsk
Target entity description: Degtyarsk is a small industrial town in Russia’s Sverdlovsk Oblast, historically known for its mining activities.
  • A. Apatity
    Apatity is an industrial and scientific town in Russia’s Murmansk Oblast, known for its phosphate mining and research institutes within the Arctic Kola Peninsula region.
  • B. Krasnoufimsk
    Krasnoufimsk is a small historic town in Russia’s Ural region, known for its traditional architecture and role as a local administrative and cultural center.
  • C. Ust-Luga
    Ust-Luga is a major Russian Baltic Sea port town that serves as a key cargo and energy export hub for the Leningrad Oblast region.
  • D. Vilyuchinsk
    Vilyuchinsk is a closed Russian naval town on the Kamchatka Peninsula, known primarily as a base for the Pacific Fleet’s nuclear submarines.
  • E. Kholmsk
    Kholmsk is a port town on the western coast of Sakhalin Island in Russia, serving as an important maritime transport hub in the Sea of Japan.
  • 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ef1ba58481909cfb5030b85f385a completed March 27, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827651b7c81908f5dca5903183b7b completed March 28, 2026, 7:09 p.m.
NEDg Description generation batch_69c82833f394819092f24dbb35d9b25b completed March 28, 2026, 7:12 p.m.
NED2 Entity disambiguation (via description) batch_69c82900c41481909f886fc565c57420 completed March 28, 2026, 7:16 p.m.
Created at: March 27, 2026, 3:02 p.m.