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: ['The 13/31 runway at Atlantic City International Airport, operated by the Port Authority of New York and New Jersey, is 1873 in length.', 'The Port Authority of New York and New Jersey is the operating organisation of Atlantic City International airport., This airport has a runway length of 1873.0 metres and a runway named 13/31.']
Example Output: SIMILAR

Example Input: ['Giraffe is a coffee shop is near The Bakers. It is kid friendly and has a customer rating of 1 out of 5. It is moderately priced.', 'A coffee shop that is kids friendly is located near The Bakers named Giraffe. It also has a moderate price range with a customer rating of 1 out of 5.']
Example Output: SIMILAR

Example Input: ['The Loch Fyne restaurant is a cheap sushi restaurant not suited for the whole family.', 'Loch Fyne restaurant is for the whole family that offers breakfast meals with low price range']
Example Output:
SIMILAR