Triple

T4910327
Position Surface form Disambiguated ID Type / Status
Subject Belogorsk E110214 entity
Predicate formerName P65 FINISHED
Object Kuznetsovo
Kuznetsovo is the former name of the town now known as Belogorsk in Russia’s Amur Oblast.
 E505535 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: Kuznetsovo | Statement: [Belogorsk, formerName, Kuznetsovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kuznetsovo
Context triple: [Belogorsk, formerName, Kuznetsovo]
  • A. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • B. Konakovo
    Konakovo is a town in Tver Oblast, Russia, situated on the Volga River and known for its power station and riverside recreation.
  • C. Kudrovo
    Kudrovo is a rapidly growing suburban town on the eastern outskirts of Saint Petersburg, Russia, known for its dense residential developments and proximity to the city.
  • D. Mikhaylovka
    Mikhaylovka is a city in southwestern Russia known as one of the key urban centers of Volgograd Oblast.
  • 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: Kuznetsovo
Triple: [Belogorsk, formerName, Kuznetsovo]
Generated description
Kuznetsovo is the former name of the town now known as Belogorsk in Russia’s Amur Oblast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kuznetsovo
Target entity description: Kuznetsovo is the former name of the town now known as Belogorsk in Russia’s Amur Oblast.
  • A. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • B. Konakovo
    Konakovo is a town in Tver Oblast, Russia, situated on the Volga River and known for its power station and riverside recreation.
  • C. Kudrovo
    Kudrovo is a rapidly growing suburban town on the eastern outskirts of Saint Petersburg, Russia, known for its dense residential developments and proximity to the city.
  • D. Mikhaylovka
    Mikhaylovka is a city in southwestern Russia known as one of the key urban centers of Volgograd Oblast.
  • 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_69bd44132b94819088522d92beaadc78 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e99414081908c3d3283f563bba4 completed March 20, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef7e68058819089e179a29ab700bc completed March 21, 2026, 7:56 p.m.
NEDg Description generation batch_69bef933c4008190bea3a5a7e5de17e6 completed March 21, 2026, 8:01 p.m.
NED2 Entity disambiguation (via description) batch_69bef9a600908190bdaff60b7a514538 completed March 21, 2026, 8:03 p.m.
Created at: March 20, 2026, 1:29 p.m.