Triple

T7320919
Position Surface form Disambiguated ID Type / Status
Subject Sverdlovsk Oblast E168541 entity
Predicate hasCity P316 FINISHED
Object Krasnoturyinsk
Krasnoturyinsk is an industrial town in Russia’s Ural region known for its mining and metallurgical industries.
 E674971 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: Krasnoturyinsk | Statement: [Sverdlovsk Oblast, hasCity, Krasnoturyinsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Krasnoturyinsk
Context triple: [Sverdlovsk Oblast, hasCity, Krasnoturyinsk]
  • A. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • B. Kastornoye
    Kastornoye is a locality in Russia historically notable as the namesake and focal area of the Voronezh–Kastornoye military offensive during World War II.
  • C. Yukhnov
    Yukhnov is a small historic town in western Russia known for its location on the Ugra River and its role in regional trade and World War II history.
  • D. Petrovskoye
    Petrovskoye was the original Russian fortress settlement that later developed into the modern city of Makhachkala in Dagestan, Russia.
  • E. Otradnoye
    Otradnoye is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Otradnoye District in northern Moscow.
  • 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: Krasnoturyinsk
Triple: [Sverdlovsk Oblast, hasCity, Krasnoturyinsk]
Generated description
Krasnoturyinsk is an industrial town in Russia’s Ural region known for its mining and metallurgical industries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Krasnoturyinsk
Target entity description: Krasnoturyinsk is an industrial town in Russia’s Ural region known for its mining and metallurgical industries.
  • A. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • B. Kastornoye
    Kastornoye is a locality in Russia historically notable as the namesake and focal area of the Voronezh–Kastornoye military offensive during World War II.
  • C. Yukhnov
    Yukhnov is a small historic town in western Russia known for its location on the Ugra River and its role in regional trade and World War II history.
  • D. Petrovskoye
    Petrovskoye was the original Russian fortress settlement that later developed into the modern city of Makhachkala in Dagestan, Russia.
  • E. Otradnoye
    Otradnoye is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Otradnoye District in northern Moscow.
  • 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_69c86130228c819098544e5354c31b44 completed March 28, 2026, 11:16 p.m.
NEDg Description generation batch_69c862677e008190928ac5b4a47906fc completed March 28, 2026, 11:21 p.m.
NED2 Entity disambiguation (via description) batch_69c8630fe8608190afc7b67d9a80240b completed March 28, 2026, 11:24 p.m.
Created at: March 27, 2026, 3:02 p.m.