This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of two sentences and the output is either SIMILAR or DISSIMILAR.

Example Input: ['Alan Shepard was the Chief of the Astronaut Office in 1963.', 'Accademia di Architettura di Mendrisio in Mendrisio, Switzerland was created in 1996 and has 600 students. The federal chancellor of the country is Johann Schneider-Ammann and the national anthem is Swiss Psalm.']
Example Output: DISSIMILAR

Example Input: ['The Golden Palace is a Japanese coffee shop located in the city centre. It has a high customer rating and a medium price range of 20-25 GBP.', 'The Golden Palace is a Japanese coffee shop with a price range of 20-25 GBP and a high customer rating. It is located in the city centre']
Example Output: SIMILAR

Example Input: ["Blue Spice is a cheap and family-friendly place to eat, but is not rated well by customers. It's situated by the riverside.", 'Blue Spice in Riverside is affordable and family friendly.']
Example Output:
SIMILAR