Triple

T17709812
Position Surface form Disambiguated ID Type / Status
Subject Syretsko–Pecherska line E441532 entity
Predicate hasStation P35 FINISHED
Object Pozniaky
Pozniaky is a Kyiv Metro station on the Syretsko–Pecherska line serving the Pozniaky residential district on the city's left bank.
 E1284039 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: Pozniaky | Statement: [Syretsko–Pecherska line, hasStation, Pozniaky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pozniaky
Context triple: [Syretsko–Pecherska line, hasStation, Pozniaky]
  • A. Sudylkiv
    Sudylkiv is a village in Ukraine, historically part of the Russian Empire, known as the birthplace of Yiddish theater actor and director Maurice Schwartz.
  • B. Ladomírka
    Ladomírka is a small river in eastern Slovakia that serves as a tributary of the Ondava River.
  • C. Podolínec
    Podolínec is a historic town in the Spiš region of northern Slovakia, known for its well-preserved medieval architecture and former royal privileges.
  • D. Mastník
    Mastník is a river in the Central Bohemian Region of the Czech Republic that flows through the town of Sedlčany.
  • E. Pošeň
    Pošeň is a local neighborhood within the Ružinov borough of Bratislava, Slovakia.
  • 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: Pozniaky
Triple: [Syretsko–Pecherska line, hasStation, Pozniaky]
Generated description
Pozniaky is a Kyiv Metro station on the Syretsko–Pecherska line serving the Pozniaky residential district on the city's left bank.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pozniaky
Target entity description: Pozniaky is a Kyiv Metro station on the Syretsko–Pecherska line serving the Pozniaky residential district on the city's left bank.
  • A. Sudylkiv
    Sudylkiv is a village in Ukraine, historically part of the Russian Empire, known as the birthplace of Yiddish theater actor and director Maurice Schwartz.
  • B. Ladomírka
    Ladomírka is a small river in eastern Slovakia that serves as a tributary of the Ondava River.
  • C. Podolínec
    Podolínec is a historic town in the Spiš region of northern Slovakia, known for its well-preserved medieval architecture and former royal privileges.
  • D. Mastník
    Mastník is a river in the Central Bohemian Region of the Czech Republic that flows through the town of Sedlčany.
  • E. Pošeň
    Pošeň is a local neighborhood within the Ružinov borough of Bratislava, Slovakia.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4729a9a9c81908d65ff0bda12c961 completed April 19, 2026, 6:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a023025ae808190ba3e9a875bfc68e9 completed May 11, 2026, 7:38 p.m.
NEDg Description generation batch_6a023249cfb0819091d3fa8c3089f241 completed May 11, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_6a0232ce696c81908d0e57ea214f88ce completed May 11, 2026, 7:49 p.m.
Created at: April 10, 2026, 10:05 a.m.