Triple

T1991274
Position Surface form Disambiguated ID Type / Status
Subject Zamoskvoretskaya Line E43255 entity
Predicate hasStation P35 FINISHED
Object Kolomenskaya
Kolomenskaya is a Moscow Metro station on the Zamoskvoretskaya Line, serving the Kolomenskoye area in the southern part of the city.
 E256399 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: Kolomenskaya | Statement: [Zamoskvoretskaya Line, hasStation, Kolomenskaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kolomenskaya
Context triple: [Zamoskvoretskaya Line, hasStation, Kolomenskaya]
  • A. Kashirskaya
    Kashirskaya is a Moscow Metro station that serves as an interchange point on the system’s Big Circle Line.
  • B. Khoroshevskaya
    Khoroshevskaya is a Moscow Metro station located on the Big Circle Line, serving the Khoroshyovsky District of the city.
  • C. Kolomna
    Kolomna is a historic Russian city southeast of Moscow, known for its well-preserved kremlin, medieval architecture, and traditional pastila confectionery.
  • D. Kantemirovskaya
    Kantemirovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the southern part of the city.
  • E. Rizhskaya
    Rizhskaya is a Moscow Metro station on the Big Circle Line serving the Rizhsky railway terminal area.
  • 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: Kolomenskaya
Triple: [Zamoskvoretskaya Line, hasStation, Kolomenskaya]
Generated description
Kolomenskaya is a Moscow Metro station on the Zamoskvoretskaya Line, serving the Kolomenskoye area in the southern part of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kolomenskaya
Target entity description: Kolomenskaya is a Moscow Metro station on the Zamoskvoretskaya Line, serving the Kolomenskoye area in the southern part of the city.
  • A. Kashirskaya
    Kashirskaya is a Moscow Metro station that serves as an interchange point on the system’s Big Circle Line.
  • B. Khoroshevskaya
    Khoroshevskaya is a Moscow Metro station located on the Big Circle Line, serving the Khoroshyovsky District of the city.
  • C. Kolomna
    Kolomna is a historic Russian city southeast of Moscow, known for its well-preserved kremlin, medieval architecture, and traditional pastila confectionery.
  • D. Kantemirovskaya
    Kantemirovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the southern part of the city.
  • E. Rizhskaya
    Rizhskaya is a Moscow Metro station on the Big Circle Line serving the Rizhsky railway terminal area.
  • 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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8451fe8819093531052f4533c36 completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8933ba588190915b9ee9de433a14 completed March 9, 2026, 8:47 a.m.
NEDg Description generation batch_69ae8ab5bf78819085120418a26cbe28 completed March 9, 2026, 8:54 a.m.
NED2 Entity disambiguation (via description) batch_69ae8b2a89788190975ab66f432f834f completed March 9, 2026, 8:56 a.m.
Created at: March 4, 2026, 7:37 p.m.