Triple

T17709814
Position Surface form Disambiguated ID Type / Status
Subject Syretsko–Pecherska line E441532 entity
Predicate hasStation P35 FINISHED
Object Vyrlytsia
Vyrlytsia is a station on the Kyiv Metro system in Ukraine.
E1297765 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: Vyrlytsia | Statement: [Syretsko–Pecherska line, hasStation, Vyrlytsia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vyrlytsia
Context triple: [Syretsko–Pecherska line, hasStation, Vyrlytsia]
  • A. Darnytsia
    Darnytsia is a station on the Kyiv Metro system in Ukraine, serving the Sviatoshynsko–Brovarska line on the city's left bank.
  • B. Yablunytsia
    Yablunytsia is a village and mountain pass area in Ukraine’s Carpathian Mountains, known as a gateway to popular ski and hiking destinations.
  • C. Zvenyhorodka
    Zvenyhorodka is a town in central Ukraine that serves as a local administrative and cultural center within Cherkasy Oblast.
  • D. Pervomaiskyi
    Pervomaiskyi is a small industrial city in eastern Ukraine known for its chemical industry and location within Kharkiv Oblast.
  • E. Mukhavets
    Mukhavets is a river in western Belarus that flows through the city of Brest before joining the Western Bug.
  • 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: Vyrlytsia
Triple: [Syretsko–Pecherska line, hasStation, Vyrlytsia]
Generated description
Vyrlytsia is a station on the Kyiv Metro system in Ukraine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vyrlytsia
Target entity description: Vyrlytsia is a station on the Kyiv Metro system in Ukraine.
  • A. Darnytsia
    Darnytsia is a station on the Kyiv Metro system in Ukraine, serving the Sviatoshynsko–Brovarska line on the city's left bank.
  • B. Yablunytsia
    Yablunytsia is a village and mountain pass area in Ukraine’s Carpathian Mountains, known as a gateway to popular ski and hiking destinations.
  • C. Zvenyhorodka
    Zvenyhorodka is a town in central Ukraine that serves as a local administrative and cultural center within Cherkasy Oblast.
  • D. Pervomaiskyi
    Pervomaiskyi is a small industrial city in eastern Ukraine known for its chemical industry and location within Kharkiv Oblast.
  • E. Mukhavets
    Mukhavets is a river in western Belarus that flows through the city of Brest before joining the Western Bug.
  • 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_6a0328ff60388190af4f7fe30a4c1d7c completed May 12, 2026, 1:19 p.m.
NEDg Description generation batch_6a032b79b55c81909ad92206c44402f5 completed May 12, 2026, 1:30 p.m.
NED2 Entity disambiguation (via description) batch_6a032c1200808190982b03ba82dda8cb completed May 12, 2026, 1:33 p.m.
Created at: April 10, 2026, 10:05 a.m.