Triple

T2051942
Position Surface form Disambiguated ID Type / Status
Subject Kalininsko–Solntsevskaya Line E45587 entity
Predicate hasStation P35 FINISHED
Object Govardeyskaya
Govardeyskaya is a Moscow Metro station on the Kalininsko–Solntsevskaya line.
 E241773 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: Govardeyskaya | Statement: [Kalininsko–Solntsevskaya Line, hasStation, Govardeyskaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Govardeyskaya
Context triple: [Kalininsko–Solntsevskaya Line, hasStation, Govardeyskaya]
  • A. Kuntsevskaya
    Kuntsevskaya is a Moscow Metro station on the Big Circle Line serving the Kuntsevo District in western Moscow.
  • B. Shubskaya
    Shubskaya is a Russian surname most notably associated with Anastasia Shubskaya, a film producer and the wife of hockey star Alexander Ovechkin.
  • C. Nadezhda
    Nadezhda is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and meaning "hope."
  • D. Kantemirovskaya
    Kantemirovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the southern part of the city.
  • E. Danilova
    Danilova is a Russian surname most famously associated with Alexandra Danilova, a celebrated 20th-century ballerina and influential ballet teacher.
  • 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: Govardeyskaya
Triple: [Kalininsko–Solntsevskaya Line, hasStation, Govardeyskaya]
Generated description
Govardeyskaya is a Moscow Metro station on the Kalininsko–Solntsevskaya line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Govardeyskaya
Target entity description: Govardeyskaya is a Moscow Metro station on the Kalininsko–Solntsevskaya line.
  • A. Kuntsevskaya
    Kuntsevskaya is a Moscow Metro station on the Big Circle Line serving the Kuntsevo District in western Moscow.
  • B. Shubskaya
    Shubskaya is a Russian surname most notably associated with Anastasia Shubskaya, a film producer and the wife of hockey star Alexander Ovechkin.
  • C. Nadezhda
    Nadezhda is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and meaning "hope."
  • D. Kantemirovskaya
    Kantemirovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the southern part of the city.
  • E. Danilova
    Danilova is a Russian surname most famously associated with Alexandra Danilova, a celebrated 20th-century ballerina and influential ballet teacher.
  • 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_69ae5d87712881908453ddd2d506a0b9 completed March 9, 2026, 5:41 a.m.
NEDg Description generation batch_69ae5e48eefc8190b459278860bb3217 completed March 9, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69ae5ec233788190a52dc1a135f7dfb9 completed March 9, 2026, 5:46 a.m.
Created at: March 4, 2026, 7:39 p.m.