Triple

T10879136
Position Surface form Disambiguated ID Type / Status
Subject Elektrozavodskaya E256873 entity
Predicate isOnSectionBetween P74300 FINISHED
Object Semyonovskaya
Semyonovskaya is a station on the Moscow Metro, serving the Sokolnicheskaya Line in the eastern part of Moscow.
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: Semyonovskaya | Statement: [Elektrozavodskaya, isOnSectionBetween, Semyonovskaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Semyonovskaya
Context triple: [Elektrozavodskaya, isOnSectionBetween, Semyonovskaya]
  • A. Savyolovskaya
    Savyolovskaya is a Moscow Metro station on the Big Circle Line, serving as part of the city’s modern orbital rapid transit network.
  • B. Savyolovskaya
    Savyolovskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the northern part of the city.
  • C. Voykovskaya
    Voykovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the northern part of the city.
  • D. Chertanovskaya
    Chertanovskaya is a Moscow Metro station serving the Chertanovo district in the city’s south.
  • E. Kutuzovskaya
    Kutuzovskaya is a Moscow Metro station serving the Kutuzovsky Prospekt area in western 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: Semyonovskaya
Triple: [Elektrozavodskaya, isOnSectionBetween, Semyonovskaya]
Generated description
Semyonovskaya is a station on the Moscow Metro, serving the Sokolnicheskaya Line in the eastern part of Moscow.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Semyonovskaya
Target entity description: Semyonovskaya is a station on the Moscow Metro, serving the Sokolnicheskaya Line in the eastern part of Moscow.
  • A. Savyolovskaya
    Savyolovskaya is a Moscow Metro station on the Big Circle Line, serving as part of the city’s modern orbital rapid transit network.
  • B. Savyolovskaya
    Savyolovskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the northern part of the city.
  • C. Voykovskaya
    Voykovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the northern part of the city.
  • D. Chertanovskaya
    Chertanovskaya is a Moscow Metro station serving the Chertanovo district in the city’s south.
  • E. Kutuzovskaya
    Kutuzovskaya is a Moscow Metro station serving the Kutuzovsky Prospekt area in western 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751af50448190906b47c16878208f completed April 9, 2026, 7:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69e154d8f9b881908025acc6ff1beb9f completed April 16, 2026, 9:30 p.m.
NEDg Description generation batch_69e16e3e9f448190a6b42b446818000c completed April 16, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69e17020d2b4819084283955b2ec2b29 completed April 16, 2026, 11:26 p.m.
Created at: April 8, 2026, 9:21 p.m.