Triple

T1946806
Position Surface form Disambiguated ID Type / Status
Subject Big Circle Line E42071 entity
Predicate hasStation P35 FINISHED
Object Savyolovskaya
Savyolovskaya is a Moscow Metro station on the Big Circle Line, serving as part of the city’s modern orbital rapid transit network.
 E229209 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: Savyolovskaya | Statement: [Big Circle Line, hasStation, Savyolovskaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Savyolovskaya
Context triple: [Big Circle Line, hasStation, Savyolovskaya]
  • A. Shubskaya
    Shubskaya is a Russian surname most notably associated with Anastasia Shubskaya, a film producer and the wife of hockey star Alexander Ovechkin.
  • B. Pyotr Basin
    Pyotr Basin was a Russian painter known for his large-scale historical and religious works, some of which adorn Saint Isaac's Cathedral in Saint Petersburg.
  • C. Vyatskoye
    Vyatskoye is a rural locality in Russia’s Khabarovsk Krai, historically noted as the birthplace of North Korean leader Kim Jong Il.
  • D. Ksudach
    Ksudach is a large stratovolcano in Russia’s Kamchatka Peninsula known for its caldera-forming eruptions and remote, rugged landscape.
  • E. Shakhovskoye
    Shakhovskoye is a rural locality in Russia known primarily as the birthplace of Soviet politician Mikhail Suslov.
  • 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: Savyolovskaya
Triple: [Big Circle Line, hasStation, Savyolovskaya]
Generated description
Savyolovskaya is a Moscow Metro station on the Big Circle Line, serving as part of the city’s modern orbital rapid transit network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Savyolovskaya
Target entity description: Savyolovskaya is a Moscow Metro station on the Big Circle Line, serving as part of the city’s modern orbital rapid transit network.
  • A. Shubskaya
    Shubskaya is a Russian surname most notably associated with Anastasia Shubskaya, a film producer and the wife of hockey star Alexander Ovechkin.
  • B. Pyotr Basin
    Pyotr Basin was a Russian painter known for his large-scale historical and religious works, some of which adorn Saint Isaac's Cathedral in Saint Petersburg.
  • C. Vyatskoye
    Vyatskoye is a rural locality in Russia’s Khabarovsk Krai, historically noted as the birthplace of North Korean leader Kim Jong Il.
  • D. Ksudach
    Ksudach is a large stratovolcano in Russia’s Kamchatka Peninsula known for its caldera-forming eruptions and remote, rugged landscape.
  • E. Shakhovskoye
    Shakhovskoye is a rural locality in Russia known primarily as the birthplace of Soviet politician Mikhail Suslov.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb32ebae881908f7541301f0198ae completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fd173b881909fbd454fc9d7fabb completed March 9, 2026, 1:18 a.m.
NEDg Description generation batch_69ae2078f5bc81909e4226e4f4188e87 completed March 9, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69ae2121a43481908ea6eef3d4e06407 completed March 9, 2026, 1:23 a.m.
Created at: March 4, 2026, 7:36 p.m.