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.

Input: Consider Input: ['Rene Goscinny is a French national.', 'The nationality of René Goscinny is French.']

Output: SIMILAR


Input: Consider Input: ['Bibimbap House serves Italian. It has a high price range. It is in the center of the city near Clare Hall', 'Serving Italian food at a high price range, Bibimbap House can be found near Clare Hall in the city centre.']

Output: SIMILAR


Input: Consider Input: ['Fast food is served at The Rice Boat. It is moderately priced. It is located near riverside, near Express by Holiday Inn. It is not kid friendly.', 'With a customer rating of 1 out of 5 and a high price range, the coffee shop at Fitzbillies  is located in the city centre area. They are children friendly and offer fast food.']


Output: DISSIMILAR