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: Münsterhof square | Statement: [Old Town of Zurich, contains, Münsterhof square]

Target entity: Münsterhof square
Context triple: [Old Town of Zurich, contains, Münsterhof square]

• A. Kröpcke square
  Kröpcke square is a central pedestrian plaza and major transport hub in Hanover, Germany, known for its busy shopping area and iconic clock.
• B. Münsterplatz
  Münsterplatz is a historic central square in Bern’s Old City, known for its location beside the Bern Minster and its role as a prominent public gathering space.
• C. Münsterplatz
  Münsterplatz is the central square in Ulm, Germany, best known as the location of Ulm Minster, which has the tallest church steeple in the world.
• D. Römerberg square
  Römerberg square is the historic central square of Frankfurt’s old town, renowned for its medieval-style buildings, city hall complex (Römer), and role as a traditional site for markets and public events.
• E. Konstablerwache square
  Konstablerwache square is a major public square and transport hub in central Frankfurt, known for its busy shopping streets, markets, and connections to the city’s urban rail network.
• 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: Münsterhof square
Triple: [Old Town of Zurich, contains, Münsterhof square]

Münsterhof square is a historic public plaza in Zurich’s Old Town, known for its medieval surroundings, proximity to Fraumünster Church, and role as a central gathering and event space.

Target entity: Münsterhof square
Target entity description: Münsterhof square is a historic public plaza in Zurich’s Old Town, known for its medieval surroundings, proximity to Fraumünster Church, and role as a central gathering and event space.

• A. Kröpcke square
  Kröpcke square is a central pedestrian plaza and major transport hub in Hanover, Germany, known for its busy shopping area and iconic clock.
• B. Münsterplatz
  Münsterplatz is a historic central square in Bern’s Old City, known for its location beside the Bern Minster and its role as a prominent public gathering space.
• C. Münsterplatz
  Münsterplatz is the central square in Ulm, Germany, best known as the location of Ulm Minster, which has the tallest church steeple in the world.
• D. Römerberg square
  Römerberg square is the historic central square of Frankfurt’s old town, renowned for its medieval-style buildings, city hall complex (Römer), and role as a traditional site for markets and public events.
• E. Konstablerwache square
  Konstablerwache square is a major public square and transport hub in central Frankfurt, known for its busy shopping streets, markets, and connections to the city’s urban rail network.
• F. None of above. chosen