Triple

T9551258
Position Surface form Disambiguated ID Type / Status
Subject Khoroshevskaya E230425 entity
Predicate hasTransferTo P17241 FINISHED
Object Polezhayevskaya
Polezhayevskaya is a Moscow Metro station on the Tagansko–Krasnopresnenskaya line, serving the northwestern part of the city.
 E817304 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: Polezhayevskaya | Statement: [Khoroshevskaya, hasTransferTo, Polezhayevskaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Polezhayevskaya
Context triple: [Khoroshevskaya, hasTransferTo, Polezhayevskaya]
  • A. Karamyshevskaya
    Karamyshevskaya is a metro station on Moscow’s Big Circle Line, serving the Khoroshyovo-Mnyovniki area of the city.
  • B. Paveletskaya
    Paveletskaya is a Moscow Metro station named after the nearby Paveletsky railway terminal, serving as a key transport hub in the city’s network.
  • C. Rublyovka
    Rublyovka is an affluent suburban area west of Moscow, known for its luxury residences, elite communities, and concentration of Russia’s political and business elite.
  • D. Borovitskaya
    Borovitskaya is a Moscow Metro station located in the city center, providing key interchange access between several central lines.
  • E. Voykovskaya
    Voykovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the northern part of the city.
  • 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: Polezhayevskaya
Triple: [Khoroshevskaya, hasTransferTo, Polezhayevskaya]
Generated description
Polezhayevskaya is a Moscow Metro station on the Tagansko–Krasnopresnenskaya line, serving the northwestern part of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Polezhayevskaya
Target entity description: Polezhayevskaya is a Moscow Metro station on the Tagansko–Krasnopresnenskaya line, serving the northwestern part of the city.
  • A. Karamyshevskaya
    Karamyshevskaya is a metro station on Moscow’s Big Circle Line, serving the Khoroshyovo-Mnyovniki area of the city.
  • B. Paveletskaya
    Paveletskaya is a Moscow Metro station named after the nearby Paveletsky railway terminal, serving as a key transport hub in the city’s network.
  • C. Rublyovka
    Rublyovka is an affluent suburban area west of Moscow, known for its luxury residences, elite communities, and concentration of Russia’s political and business elite.
  • D. Borovitskaya
    Borovitskaya is a Moscow Metro station located in the city center, providing key interchange access between several central lines.
  • E. Voykovskaya
    Voykovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the northern part of the city.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd991df7308190a56d95f195627513 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f60aa508190b3966f4b917c41b5 completed April 4, 2026, 11:31 p.m.
NEDg Description generation batch_69d1a3cc5420819091ee338da5afe4b7 completed April 4, 2026, 11:50 p.m.
NED2 Entity disambiguation (via description) batch_69d1a5f265148190af432e3640221a33 completed April 4, 2026, 11:59 p.m.
Created at: March 30, 2026, 8:02 p.m.