Triple

T14430203
Position Surface form Disambiguated ID Type / Status
Subject Арбатско-Покровская линия E357804 entity
Predicate имеетСтанцию P726 FINISHED
Object Семёновская
«Семёновская» — станция Московского метрополитена, расположенная в восточной части города и обслуживающая пассажиропоток жилых районов вокруг Семёновской площади.
 E891516 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: Семёновская | Statement: [Арбатско-Покровская линия, имеетСтанцию, Семёновская]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Семёновская
Context triple: [Арбатско-Покровская линия, имеетСтанцию, Семёновская]
  • A. Semyonovskaya
    Semyonovskaya is a station on the Moscow Metro, serving the Sokolnicheskaya Line in the eastern part of Moscow.
  • B. Черкизовская
    Черкизовская — станция Московского метрополитена, расположенная на Сокольнической линии на востоке Москвы.
  • C. Savyolovskaya
    Savyolovskaya is a Moscow Metro station on the Big Circle Line, serving as part of the city’s modern orbital rapid transit network.
  • D. Savyolovskaya
    Savyolovskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the northern part of the city.
  • E. Chertanovskaya
    Chertanovskaya is a Moscow Metro station serving the Chertanovo district in the city’s south.
  • 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: Семёновская
Triple: [Арбатско-Покровская линия, имеетСтанцию, Семёновская]
Generated description
«Семёновская» — станция Московского метрополитена, расположенная в восточной части города и обслуживающая пассажиропоток жилых районов вокруг Семёновской площади.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Семёновская
Target entity description: «Семёновская» — станция Московского метрополитена, расположенная в восточной части города и обслуживающая пассажиропоток жилых районов вокруг Семёновской площади.
  • A. Semyonovskaya chosen
    Semyonovskaya is a station on the Moscow Metro, serving the Sokolnicheskaya Line in the eastern part of Moscow.
  • B. Черкизовская
    Черкизовская — станция Московского метрополитена, расположенная на Сокольнической линии на востоке Москвы.
  • C. Savyolovskaya
    Savyolovskaya is a Moscow Metro station on the Big Circle Line, serving as part of the city’s modern orbital rapid transit network.
  • D. Savyolovskaya
    Savyolovskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the northern part of the city.
  • E. Chertanovskaya
    Chertanovskaya is a Moscow Metro station serving the Chertanovo district in the city’s south.
  • F. None of above.

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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914570f08190b1c7c1c57a0cb476 completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd648b8f348190be11645b371b4102 completed May 8, 2026, 4:20 a.m.
NEDg Description generation batch_69fd66952aa08190b10ef03dd85413ae completed May 8, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_69fd66f535288190a05acc74844bdbc9 completed May 8, 2026, 4:30 a.m.
Created at: April 10, 2026, 1:18 a.m.