Triple

T17709850
Position Surface form Disambiguated ID Type / Status
Subject Sviatoshynsko–Brovarska line E441533 entity
Predicate hasStation P35 FINISHED
Object Universytet
Universytet is a Kyiv Metro station on the Sviatoshynsko–Brovarska line, known for serving the area around Taras Shevchenko National University of Kyiv.
 E1285380 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: Universytet | Statement: [Sviatoshynsko–Brovarska line, hasStation, Universytet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Universytet
Context triple: [Sviatoshynsko–Brovarska line, hasStation, Universytet]
  • A. Universytet
    Universytet is a central Kharkiv Metro station named for its proximity to major universities and academic institutions in the city.
  • B. Universitetet
    Universitetet is a railway station in Stockholm, Sweden, serving Stockholm University and located on the Roslagsbanan suburban rail line.
  • C. Universitate
    Universitate is a central Bucharest metro station located near the University of Bucharest and several major cultural and administrative landmarks.
  • D. Universitet
    Universitet is a Moscow Metro station serving the area around the Moscow State University campus on the Lenin Hills.
  • E. Universitat
    Universitat is a central Barcelona Metro station serving the busy Plaça de la Universitat area near the city's historic university.
  • 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: Universytet
Triple: [Sviatoshynsko–Brovarska line, hasStation, Universytet]
Generated description
Universytet is a Kyiv Metro station on the Sviatoshynsko–Brovarska line, known for serving the area around Taras Shevchenko National University of Kyiv.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Universytet
Target entity description: Universytet is a Kyiv Metro station on the Sviatoshynsko–Brovarska line, known for serving the area around Taras Shevchenko National University of Kyiv.
  • A. Universytet
    Universytet is a central Kharkiv Metro station named for its proximity to major universities and academic institutions in the city.
  • B. Universitetet
    Universitetet is a railway station in Stockholm, Sweden, serving Stockholm University and located on the Roslagsbanan suburban rail line.
  • C. Universitate
    Universitate is a central Bucharest metro station located near the University of Bucharest and several major cultural and administrative landmarks.
  • D. Universitet
    Universitet is a Moscow Metro station serving the area around the Moscow State University campus on the Lenin Hills.
  • E. Universitat
    Universitat is a central Barcelona Metro station serving the busy Plaça de la Universitat area near the city's historic university.
  • 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_6a0242edd438819089b8c23ff79c822e completed May 11, 2026, 8:58 p.m.
NEDg Description generation batch_6a02455730948190b1151d24f260d768 completed May 11, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_6a0245c34d008190ae029000dc8e9cbc completed May 11, 2026, 9:10 p.m.
Created at: April 10, 2026, 10:05 a.m.