Triple

T1946744
Position Surface form Disambiguated ID Type / Status
Subject Sokolnicheskaya Line E42070 entity
Predicate hasStation P35 FINISHED
Object Troparyovo station
Troparyovo station is a Moscow Metro station serving the southwestern part of the city on one of its main radial lines.
 E324195 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: Troparyovo station | Statement: [Sokolnicheskaya Line, hasStation, Troparyovo station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Troparyovo station
Context triple: [Sokolnicheskaya Line, hasStation, Troparyovo station]
  • A. Ploshchad Truda station
    Ploshchad Truda station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
  • B. Krasnoselskaya station
    Krasnoselskaya station is a Moscow Metro station known for its early Soviet-era architecture and location on the system’s first metro line.
  • C. Kachinskaya station
    Kachinskaya station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
  • D. Kropotkinskaya station
    Kropotkinskaya station is a Moscow Metro station notable for its distinctive neoclassical architecture and proximity to major cultural landmarks such as the Cathedral of Christ the Saviour.
  • E. Frunzenskaya station
    Frunzenskaya station is a Moscow Metro station known for its deep-level construction and classic Soviet-era architectural design.
  • 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: Troparyovo station
Triple: [Sokolnicheskaya Line, hasStation, Troparyovo station]
Generated description
Troparyovo station is a Moscow Metro station serving the southwestern part of the city on one of its main radial lines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Troparyovo station
Target entity description: Troparyovo station is a Moscow Metro station serving the southwestern part of the city on one of its main radial lines.
  • A. Ploshchad Truda station
    Ploshchad Truda station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
  • B. Krasnoselskaya station
    Krasnoselskaya station is a Moscow Metro station known for its early Soviet-era architecture and location on the system’s first metro line.
  • C. Kachinskaya station
    Kachinskaya station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
  • D. Kropotkinskaya station
    Kropotkinskaya station is a Moscow Metro station notable for its distinctive neoclassical architecture and proximity to major cultural landmarks such as the Cathedral of Christ the Saviour.
  • E. Frunzenskaya station
    Frunzenskaya station is a Moscow Metro station known for its deep-level construction and classic Soviet-era architectural design.
  • 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_69b1f84148a08190a514fb15d550a550 completed March 11, 2026, 11:18 p.m.
NEDg Description generation batch_69b1f8d3ff288190bd79bfc99d06c3ca completed March 11, 2026, 11:20 p.m.
NED2 Entity disambiguation (via description) batch_69b1f94b3e3c8190b8ce0531a7c54902 completed March 11, 2026, 11:22 p.m.
Created at: March 4, 2026, 7:36 p.m.