Triple

T1946747
Position Surface form Disambiguated ID Type / Status
Subject Sokolnicheskaya Line E42070 entity
Predicate hasStation P35 FINISHED
Object Filatov Lug station
Filatov Lug station is a Moscow Metro station on the Sokolnicheskaya Line serving the southwestern outskirts of the city.
 E330061 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: Filatov Lug station | Statement: [Sokolnicheskaya Line, hasStation, Filatov Lug station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Filatov Lug station
Context triple: [Sokolnicheskaya Line, hasStation, Filatov Lug station]
  • A. Frunzenskaya station
    Frunzenskaya station is a Moscow Metro station known for its deep-level construction and classic Soviet-era architectural design.
  • B. Kachinskaya station
    Kachinskaya station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
  • C. 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.
  • 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. Khimvolokno station
    Khimvolokno station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
  • 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: Filatov Lug station
Triple: [Sokolnicheskaya Line, hasStation, Filatov Lug station]
Generated description
Filatov Lug station is a Moscow Metro station on the Sokolnicheskaya Line serving the southwestern outskirts of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Filatov Lug station
Target entity description: Filatov Lug station is a Moscow Metro station on the Sokolnicheskaya Line serving the southwestern outskirts of the city.
  • A. Frunzenskaya station
    Frunzenskaya station is a Moscow Metro station known for its deep-level construction and classic Soviet-era architectural design.
  • B. Kachinskaya station
    Kachinskaya station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
  • C. 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.
  • 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. Khimvolokno station
    Khimvolokno station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
  • 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_69b20f0a6f588190a8a61ab47a858118 completed March 12, 2026, 12:55 a.m.
NEDg Description generation batch_69b213354148819096a37df902dd2be5 completed March 12, 2026, 1:13 a.m.
NED2 Entity disambiguation (via description) batch_69b21399a1248190bd43594fc7de6d2a completed March 12, 2026, 1:15 a.m.
Created at: March 4, 2026, 7:36 p.m.