Triple

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).

Phrase: Technology Building station | Statement: [Wenhu line, hasStation, Technology Building station]

Target entity: Technology Building station
Context triple: [Wenhu line, hasStation, Technology Building station]

• A. Build-a-Mini service
  The Build-a-Mini service is a LEGO Store experience where customers can design and assemble their own custom minifigures from a selection of interchangeable parts and accessories.
• B. TD Station
  TD Station is a multi-purpose arena in Saint John, New Brunswick, best known as the home venue of the QMJHL’s Saint John Sea Dogs hockey team.
• C. Cortex station
  Cortex station is a St. Louis MetroLink light rail stop serving the Cortex Innovation Community and surrounding Midtown area.
• D. Sol station
  Sol station is a major central railway and metro hub in Madrid, Spain, serving as a key interchange point for Cercanías commuter trains and multiple urban transit lines beneath Puerta del Sol.
• E. Architecture-Studio
  Architecture-Studio is a French architectural firm known for designing major public and cultural buildings, including the Strasbourg seat of the European Parliament.
• F. None of above. chosen
• G. Unsure - the case is ambiguous/there is not enough information to decide.

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]"

Entity: Technology Building station
Triple: [Wenhu line, hasStation, Technology Building station]

Technology Building station is a metro station on Taipei's Wenhu (Brown) Line serving the area around the Taipei World Trade Center and nearby technology and business districts.

Target entity: Technology Building station
Target entity description: Technology Building station is a metro station on Taipei's Wenhu (Brown) Line serving the area around the Taipei World Trade Center and nearby technology and business districts.

• A. Build-a-Mini service
  The Build-a-Mini service is a LEGO Store experience where customers can design and assemble their own custom minifigures from a selection of interchangeable parts and accessories.
• B. TD Station
  TD Station is a multi-purpose arena in Saint John, New Brunswick, best known as the home venue of the QMJHL’s Saint John Sea Dogs hockey team.
• C. Cortex station
  Cortex station is a St. Louis MetroLink light rail stop serving the Cortex Innovation Community and surrounding Midtown area.
• D. Sol station
  Sol station is a major central railway and metro hub in Madrid, Spain, serving as a key interchange point for Cercanías commuter trains and multiple urban transit lines beneath Puerta del Sol.
• E. Architecture-Studio
  Architecture-Studio is a French architectural firm known for designing major public and cultural buildings, including the Strasbourg seat of the European Parliament.
• F. None of above. chosen