Triple

T17709751
Position Surface form Disambiguated ID Type / Status
Subject Sviatoshynsko–Brovarska line E441531 entity
Predicate terminus P388 FINISHED
Object Lisova
Lisova is a Kyiv Metro station serving as the eastern endpoint of the city’s main east–west Sviatoshynsko–Brovarska line.
 E1284029 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: Lisova | Statement: [Sviatoshynsko–Brovarska line, terminus, Lisova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lisova
Context triple: [Sviatoshynsko–Brovarska line, terminus, Lisova]
  • A. Lučina
    Lučina is a river in the Moravian-Silesian Region of the Czech Republic that flows through the city of Ostrava.
  • B. Łužica
    Łužica is the Upper Sorbian name for Lusatia, a historical region in Central Europe traditionally inhabited by the West Slavic Sorbian people.
  • C. Lipova
    Lipova is a small historic town in western Romania known for its medieval fortress and scenic location along the Mureș River.
  • D. Nidzica
    Nidzica is a historic town in northern Poland known for its well-preserved medieval Teutonic castle and picturesque surroundings.
  • E. Rostuša
    Rostuša is a mountain village in western North Macedonia, situated within the scenic and protected area of Mavrovo National Park.
  • 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: Lisova
Triple: [Sviatoshynsko–Brovarska line, terminus, Lisova]
Generated description
Lisova is a Kyiv Metro station serving as the eastern endpoint of the city’s main east–west Sviatoshynsko–Brovarska line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lisova
Target entity description: Lisova is a Kyiv Metro station serving as the eastern endpoint of the city’s main east–west Sviatoshynsko–Brovarska line.
  • A. Lučina
    Lučina is a river in the Moravian-Silesian Region of the Czech Republic that flows through the city of Ostrava.
  • B. Łužica
    Łužica is the Upper Sorbian name for Lusatia, a historical region in Central Europe traditionally inhabited by the West Slavic Sorbian people.
  • C. Lipova
    Lipova is a small historic town in western Romania known for its medieval fortress and scenic location along the Mureș River.
  • D. Nidzica
    Nidzica is a historic town in northern Poland known for its well-preserved medieval Teutonic castle and picturesque surroundings.
  • E. Rostuša
    Rostuša is a mountain village in western North Macedonia, situated within the scenic and protected area of Mavrovo National Park.
  • 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.