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 Bean's birthplace is Wheeler,, Texas.", "Wheeler, Texas's birth place is Alan Bean."]
Example Output: DISSIMILAR

Example Input: ['Asilomar Conference Grounds which are designed based on the architecture style of "Arts and Crafts Movement and American craftsman Bungalows" and have the reference number in the the National Register of Historic Places of 87000823, were constructed in 1913 at Asilomar Blvd., Pacific Grove, California.', 'The location of Asilomar Conference Grounds, built in 1913 in the style of the "Arts and Crafts Movement and American Craftsman Bungalows", is Asilomar Blvd., Pacific Grove, California; and it has the reference number "87000823" in the National Register of Historic Places.']
Example Output: SIMILAR

Example Input: ['There is a poorly rated mid priced Italian restaurant Fitzbillies in the City centre. It is family friendly.', 'The owner of the AC Hotel Bella Sky in Copenhagen is Bella Center and it has 23 floors and 814 rooms. It was designed by 3XN group. A tenant there is the Marriott International Hotel.']
Example Output:
DISSIMILAR