Triple

T2051945
Position Surface form Disambiguated ID Type / Status
Subject Kalininsko–Solntsevskaya Line E45587 entity
Predicate hasStation P35 FINISHED
Object Novoperedelkino
Novoperedelkino is a Moscow Metro station serving the Novoperedelkino district in western Moscow.
 E229099 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: Novoperedelkino | Statement: [Kalininsko–Solntsevskaya Line, hasStation, Novoperedelkino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Novoperedelkino
Context triple: [Kalininsko–Solntsevskaya Line, hasStation, Novoperedelkino]
  • A. Sovkino
    Sovkino was a Soviet state film production and distribution company active in the 1920s, instrumental in developing early Soviet cinema and promoting revolutionary propaganda films.
  • B. Goskino
    Goskino was the Soviet state film committee responsible for overseeing and producing motion pictures in the USSR, including landmark works of early Soviet cinema.
  • C. Kastoria
    Kastoria is a picturesque lakeside city in northern Greece renowned for its Byzantine churches, traditional stone mansions, and historic fur trade.
  • D. Mishenka
    Mishenka is a Russian affectionate diminutive form of the male given name Mikhail.
  • E. Zyuzino
    Zyuzino is a Moscow Metro station on the Big Circle Line serving the Zyuzino District in southern 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: Novoperedelkino
Triple: [Kalininsko–Solntsevskaya Line, hasStation, Novoperedelkino]
Generated description
Novoperedelkino is a Moscow Metro station serving the Novoperedelkino district in western Moscow.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Novoperedelkino
Target entity description: Novoperedelkino is a Moscow Metro station serving the Novoperedelkino district in western Moscow.
  • A. Sovkino
    Sovkino was a Soviet state film production and distribution company active in the 1920s, instrumental in developing early Soviet cinema and promoting revolutionary propaganda films.
  • B. Goskino
    Goskino was the Soviet state film committee responsible for overseeing and producing motion pictures in the USSR, including landmark works of early Soviet cinema.
  • C. Kastoria
    Kastoria is a picturesque lakeside city in northern Greece renowned for its Byzantine churches, traditional stone mansions, and historic fur trade.
  • D. Mishenka
    Mishenka is a Russian affectionate diminutive form of the male given name Mikhail.
  • E. Zyuzino
    Zyuzino is a Moscow Metro station on the Big Circle Line serving the Zyuzino District in southern 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb99078d88190bc30fa4596f0bae8 completed March 7, 2026, 5:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2009951881909d562821fef39c88 completed March 9, 2026, 1:19 a.m.
NEDg Description generation batch_69ae20fbcd30819099499853d7dc2cc4 completed March 9, 2026, 1:23 a.m.
NED2 Entity disambiguation (via description) batch_69ae216d450c8190ad2ecfdafa2354c7 completed March 9, 2026, 1:25 a.m.
Created at: March 4, 2026, 7:39 p.m.