Triple

T1825269
Position Surface form Disambiguated ID Type / Status
Subject Klushino, Smolensk Oblast, Russian SFSR, Soviet Union E40638 entity
Predicate hasNameInLanguage P15 FINISHED
Object Клушино
Клушино — это деревня в Смоленской области России, наиболее известная как место рождения первого космонавта Юрия Гагарина.
 E210561 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: Клушино | Statement: [Klushino, Smolensk Oblast, Russian SFSR, Soviet Union, hasNameInLanguage, Клушино]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Клушино
Context triple: [Klushino, Smolensk Oblast, Russian SFSR, Soviet Union, hasNameInLanguage, Клушино]
  • A. Shchyolkovo
    Shchyolkovo is a town in western Russia that serves as a residential and industrial suburb of Moscow within Moscow Oblast.
  • B. Krasnogorsk
    Krasnogorsk is a city in western Russia that serves as an important administrative and residential center just outside Moscow.
  • C. Podolsk
    Podolsk is a major industrial city and former center of machine-building located just south of Moscow in western Russia.
  • D. Skovorodino
    Skovorodino is a small town in Russia’s Far Eastern Amur Oblast, known historically as a railway junction on the Trans-Siberian Railway.
  • E. Noginsk
    Noginsk is a town in western Russia that serves as an industrial and transport center east of 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: Клушино
Triple: [Klushino, Smolensk Oblast, Russian SFSR, Soviet Union, hasNameInLanguage, Клушино]
Generated description
Клушино — это деревня в Смоленской области России, наиболее известная как место рождения первого космонавта Юрия Гагарина.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Клушино
Target entity description: Клушино — это деревня в Смоленской области России, наиболее известная как место рождения первого космонавта Юрия Гагарина.
  • A. Shchyolkovo
    Shchyolkovo is a town in western Russia that serves as a residential and industrial suburb of Moscow within Moscow Oblast.
  • B. Krasnogorsk
    Krasnogorsk is a city in western Russia that serves as an important administrative and residential center just outside Moscow.
  • C. Podolsk
    Podolsk is a major industrial city and former center of machine-building located just south of Moscow in western Russia.
  • D. Skovorodino
    Skovorodino is a small town in Russia’s Far Eastern Amur Oblast, known historically as a railway junction on the Trans-Siberian Railway.
  • E. Noginsk
    Noginsk is a town in western Russia that serves as an industrial and transport center east of 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb00f13888190aa5582263d55d371 completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf42de6081908182cd3bda9c69e9 completed March 8, 2026, 8:42 p.m.
NEDg Description generation batch_69addfb3860481908ff4eebfa3d06fa7 completed March 8, 2026, 8:44 p.m.
NED2 Entity disambiguation (via description) batch_69ade027072481909b707bbfc47da4de completed March 8, 2026, 8:46 p.m.
Created at: March 4, 2026, 7:32 p.m.