Triple

T7320915
Position Surface form Disambiguated ID Type / Status
Subject Sverdlovsk Oblast E168541 entity
Predicate hasCity P316 FINISHED
Object Novouralsk
Novouralsk is a closed industrial city in Russia known historically for its role in the Soviet and Russian nuclear industry, particularly uranium enrichment.
 E673250 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: Novouralsk | Statement: [Sverdlovsk Oblast, hasCity, Novouralsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Novouralsk
Context triple: [Sverdlovsk Oblast, hasCity, Novouralsk]
  • A. Pervouralsk
    Pervouralsk is an industrial city in Russia’s Ural region, known for its metallurgical plants and location near the geographic border between Europe and Asia.
  • B. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • C. Petrovskoye
    Petrovskoye was the original Russian fortress settlement that later developed into the modern city of Makhachkala in Dagestan, Russia.
  • D. Volodarsk
    Volodarsk is a town in Nizhny Novgorod Oblast, Russia, known for its location along the Klyazma River and its industrial character.
  • E. Skovorodino
    Skovorodino is a small town in Russia’s Far Eastern Amur Oblast, known historically as a railway junction on the Trans-Siberian Railway.
  • 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: Novouralsk
Triple: [Sverdlovsk Oblast, hasCity, Novouralsk]
Generated description
Novouralsk is a closed industrial city in Russia known historically for its role in the Soviet and Russian nuclear industry, particularly uranium enrichment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Novouralsk
Target entity description: Novouralsk is a closed industrial city in Russia known historically for its role in the Soviet and Russian nuclear industry, particularly uranium enrichment.
  • A. Pervouralsk
    Pervouralsk is an industrial city in Russia’s Ural region, known for its metallurgical plants and location near the geographic border between Europe and Asia.
  • B. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • C. Petrovskoye
    Petrovskoye was the original Russian fortress settlement that later developed into the modern city of Makhachkala in Dagestan, Russia.
  • D. Volodarsk
    Volodarsk is a town in Nizhny Novgorod Oblast, Russia, known for its location along the Klyazma River and its industrial character.
  • E. Skovorodino
    Skovorodino is a small town in Russia’s Far Eastern Amur Oblast, known historically as a railway junction on the Trans-Siberian Railway.
  • 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_69c856a22b208190821bcbf21a074bb8 completed March 28, 2026, 10:30 p.m.
NEDg Description generation batch_69c857bcb7088190baf390d63e0941d4 completed March 28, 2026, 10:35 p.m.
NED2 Entity disambiguation (via description) batch_69c8582cd3d08190811b7e5b1f98a28c completed March 28, 2026, 10:37 p.m.
Created at: March 27, 2026, 3:02 p.m.