Triple

T17709757
Position Surface form Disambiguated ID Type / Status
Subject Sviatoshynsko–Brovarska line E441531 entity
Predicate hasStation P35 FINISHED
Object Nyvky
Nyvky is a station on the Kyiv Metro system in Ukraine, serving the Sviatoshynsko–Brovarska line in the western part of the city.
E1284031 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: Nyvky | Statement: [Sviatoshynsko–Brovarska line, hasStation, Nyvky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nyvky
Context triple: [Sviatoshynsko–Brovarska line, hasStation, Nyvky]
  • A. Nya
    Nya is a central character in the Lego Ninjago franchise, known as the Water Ninja and sister of Kai.
  • B. Nayi
    Nayi is a lesser-known South Omotic language spoken by a small community in southwestern Ethiopia.
  • C. Noznisky
    Noznisky is a relatively uncommon family surname associated with individuals such as Shirley Marlin Noznisky.
  • D. Niska
    Niska is a French rapper known for his energetic trap-influenced style, inventive slang, and hit tracks that have significantly impacted the Francophone hip-hop scene.
  • E. Niska
    Niska is an alternative name for the Nisga’a language, an Indigenous language spoken by the Nisga’a people of northwestern British Columbia, Canada.
  • 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: Nyvky
Triple: [Sviatoshynsko–Brovarska line, hasStation, Nyvky]
Generated description
Nyvky is a station on the Kyiv Metro system in Ukraine, serving the Sviatoshynsko–Brovarska line in the western part of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nyvky
Target entity description: Nyvky is a station on the Kyiv Metro system in Ukraine, serving the Sviatoshynsko–Brovarska line in the western part of the city.
  • A. Nya
    Nya is a central character in the Lego Ninjago franchise, known as the Water Ninja and sister of Kai.
  • B. Nayi
    Nayi is a lesser-known South Omotic language spoken by a small community in southwestern Ethiopia.
  • C. Noznisky
    Noznisky is a relatively uncommon family surname associated with individuals such as Shirley Marlin Noznisky.
  • D. Niska
    Niska is an alternative name for the Nisga’a language, an Indigenous language spoken by the Nisga’a people of northwestern British Columbia, Canada.
  • E. Niska
    Niska is a French rapper known for his energetic trap-influenced style, inventive slang, and hit tracks that have significantly impacted the Francophone hip-hop scene.
  • 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.