Triple

T2045790
Position Surface form Disambiguated ID Type / Status
Subject Tagansko–Krasnopresnenskaya Line E45446 entity
Predicate hasStation P35 FINISHED
Object Vykhino
Vykhino is a Moscow Metro station serving the Tagansko–Krasnopresnenskaya Line in the southeastern part of the city.
 E230204 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: Vykhino | Statement: [Tagansko–Krasnopresnenskaya Line, hasStation, Vykhino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vykhino
Context triple: [Tagansko–Krasnopresnenskaya Line, hasStation, Vykhino]
  • A. Ust-Dzheguta
    Ust-Dzheguta is a town in the Karachay-Cherkess Republic of southwestern Russia, situated in the North Caucasus region.
  • B. Bezymianny
    Bezymianny is an active stratovolcano on Russia’s Kamchatka Peninsula, known for its catastrophic 1956 eruption and ongoing explosive activity.
  • C. Virganskaya
    Virganskaya is a Russian surname most notably borne by Irina Virganskaya, the daughter of former Soviet leader Mikhail Gorbachev.
  • D. Mount Nevskaya
    Mount Nevskaya is the highest peak in Russia’s remote Kolyma Mountains, a rugged range in the far northeastern part of Siberia.
  • E. Pechenga
    Pechenga is a region in Russia’s far northwest, near the Barents Sea and the Norwegian border, historically known as Petsamo when it belonged to Finland.
  • 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: Vykhino
Triple: [Tagansko–Krasnopresnenskaya Line, hasStation, Vykhino]
Generated description
Vykhino is a Moscow Metro station serving the Tagansko–Krasnopresnenskaya Line in the southeastern part of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vykhino
Target entity description: Vykhino is a Moscow Metro station serving the Tagansko–Krasnopresnenskaya Line in the southeastern part of the city.
  • A. Ust-Dzheguta
    Ust-Dzheguta is a town in the Karachay-Cherkess Republic of southwestern Russia, situated in the North Caucasus region.
  • B. Bezymianny
    Bezymianny is an active stratovolcano on Russia’s Kamchatka Peninsula, known for its catastrophic 1956 eruption and ongoing explosive activity.
  • C. Virganskaya
    Virganskaya is a Russian surname most notably borne by Irina Virganskaya, the daughter of former Soviet leader Mikhail Gorbachev.
  • D. Mount Nevskaya
    Mount Nevskaya is the highest peak in Russia’s remote Kolyma Mountains, a rugged range in the far northeastern part of Siberia.
  • E. Pechenga
    Pechenga is a region in Russia’s far northwest, near the Barents Sea and the Norwegian border, historically known as Petsamo when it belonged to Finland.
  • 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_69abb9728f688190939d7c4df524f9b4 completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae200125f081909ab40b6a04adaa25 completed March 9, 2026, 1:18 a.m.
NEDg Description generation batch_69ae242933288190ad1f2c9f4ce1e968 completed March 9, 2026, 1:36 a.m.
NED2 Entity disambiguation (via description) batch_69ae248a2b8481908fa4b0c000971d11 completed March 9, 2026, 1:38 a.m.
Created at: March 4, 2026, 7:39 p.m.