Triple

T12181573
Position Surface form Disambiguated ID Type / Status
Subject Oszmiana E290231 entity
Predicate hasAlternativeName P39 FINISHED
Object Ошмяны
Ошмяны — это небольшой город в Гродненской области Беларуси, известный своей историей и архитектурным наследием.
 E970655 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: Ошмяны | Statement: [Oszmiana, hasAlternativeName, Ошмяны]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ошмяны
Context triple: [Oszmiana, hasAlternativeName, Ошмяны]
  • A. Yamskaya
    Yamskaya is a name element associated with several historic streets and districts in Moscow, traditionally linked to coachmen’s settlements along major travel routes.
  • B. Kapustin Yar
    Kapustin Yar is a Russian military rocket launch and development site historically used for early Soviet missile and space tests.
  • C. Otradnoye
    Otradnoye is a town in Russia located within the Leningrad (Saint Petersburg) region, known for its position along the Neva River and proximity to Saint Petersburg.
  • D. Otradnoye
    Otradnoye is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Otradnoye District in northern Moscow.
  • E. Nevyansk
    Nevyansk is a historic town in Russia’s Ural region, best known for its 18th-century Leaning Tower of Nevyansk and its role in early Russian industrial development.
  • 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: Ошмяны
Triple: [Oszmiana, hasAlternativeName, Ошмяны]
Generated description
Ошмяны — это небольшой город в Гродненской области Беларуси, известный своей историей и архитектурным наследием.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ошмяны
Target entity description: Ошмяны — это небольшой город в Гродненской области Беларуси, известный своей историей и архитектурным наследием.
  • A. Yamskaya
    Yamskaya is a name element associated with several historic streets and districts in Moscow, traditionally linked to coachmen’s settlements along major travel routes.
  • B. Kapustin Yar
    Kapustin Yar is a Russian military rocket launch and development site historically used for early Soviet missile and space tests.
  • C. Otradnoye
    Otradnoye is a town in Russia located within the Leningrad (Saint Petersburg) region, known for its position along the Neva River and proximity to Saint Petersburg.
  • D. Otradnoye
    Otradnoye is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Otradnoye District in northern Moscow.
  • E. Nevyansk
    Nevyansk is a historic town in Russia’s Ural region, best known for its 18th-century Leaning Tower of Nevyansk and its role in early Russian industrial development.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d915fd8dac8190928059ad2b6bbbf3 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a88b8748190a6c95e143f370010 completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f60bdb39f48190ad6bc51db6c34163 completed May 2, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69f60d4d95288190a46bf0e54afca338 completed May 2, 2026, 2:42 p.m.
Created at: April 8, 2026, 9:50 p.m.