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 Rice Boat provides French food. It is located at riverside near Express by Holiday Inn. It has a price range of more than £30, a low customer rating, and is not children friendly.', "The Rice Boat is on the riverside near the Express by Holiday Inn. It serves French food within the price range of more than £30. It has a low customer rating; it's a no for families with children."]
Example Output: SIMILAR

Example Input: ['Situated in riverside, The Rice Boat is an averagely rated children friendly Fast food venue.', 'The Rice Boat offers Fast Food in the riverside area. It is family friendly and has an average customer rating.']
Example Output: SIMILAR

Example Input: ["Baytown's Cahokia Phases were Late Woodland from 400 to 900 CE while the Ohio River confluence phases were in Cane Hills from 600 to 900 CE.", "7.6% of Willoughby's population spoke Cantonese in 2006."]
Example Output:
DISSIMILAR