Triple

T13155243
Position Surface form Disambiguated ID Type / Status
Subject Kaluzhsko–Rizhskaya Line E312566 entity
Predicate hasStation P35 FINISHED
Object Turgenevskaya
Turgenevskaya is a Moscow Metro station named after the writer Ivan Turgenev, located in the city center and serving as an important transfer point between multiple lines.
 E1152654 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: Turgenevskaya | Statement: [Kaluzhsko–Rizhskaya Line, hasStation, Turgenevskaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Turgenevskaya
Context triple: [Kaluzhsko–Rizhskaya Line, hasStation, Turgenevskaya]
  • A. Chekhovskaya
    Chekhovskaya is a Moscow Metro station located in the city center, known for its deep underground construction and convenient transfers to other central lines.
  • B. Sheremetevskaya
    Sheremetevskaya is a Russian noble family name historically associated with the aristocracy of the Russian Empire.
  • C. Gorkovskaya
    Gorkovskaya was the former name of Moscow’s central Tverskaya metro station, reflecting its Soviet-era designation.
  • D. Varshavskaya
    Varshavskaya is a Moscow Metro station on the Big Circle Line serving the southern part of the city.
  • E. Kutuzovskaya
    Kutuzovskaya is a Moscow Metro station serving the Kutuzovsky Prospekt area in western 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: Turgenevskaya
Triple: [Kaluzhsko–Rizhskaya Line, hasStation, Turgenevskaya]
Generated description
Turgenevskaya is a Moscow Metro station named after the writer Ivan Turgenev, located in the city center and serving as an important transfer point between multiple lines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Turgenevskaya
Target entity description: Turgenevskaya is a Moscow Metro station named after the writer Ivan Turgenev, located in the city center and serving as an important transfer point between multiple lines.
  • A. Chekhovskaya
    Chekhovskaya is a Moscow Metro station located in the city center, known for its deep underground construction and convenient transfers to other central lines.
  • B. Sheremetevskaya
    Sheremetevskaya is a Russian noble family name historically associated with the aristocracy of the Russian Empire.
  • C. Gorkovskaya
    Gorkovskaya was the former name of Moscow’s central Tverskaya metro station, reflecting its Soviet-era designation.
  • D. Varshavskaya
    Varshavskaya is a Moscow Metro station on the Big Circle Line serving the southern part of the city.
  • E. Kutuzovskaya
    Kutuzovskaya is a Moscow Metro station serving the Kutuzovsky Prospekt area in western 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c06ccb881909390df18e1a6f7ed completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b2e59e88190b58fdf9d9643aef9 completed May 9, 2026, 10:23 a.m.
NEDg Description generation batch_69ff0bb903f881909619cece7def68e4 completed May 9, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_69ff0c81636c81909536e69b48c5c400 completed May 9, 2026, 10:29 a.m.
Created at: April 9, 2026, 9:12 p.m.