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: ['Alderney is served by Alderney airport which is 88 metres above sea level and has a 1st runway made of poaceae. The runway, which is 497.0 in length, is named 14/32.', 'Alderney Airport, which is located 88 meters above sea level, serves Alderney. The 1st runway at Alderney Airport is made from Poaceae and is known as 14/32. It measures a length of 497.0.']

Output: SIMILAR


Input: Consider 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."]

Output: SIMILAR


Input: Consider Input: ['Alan Bean is an American born in Wheeler, Texas. He was on the Apollo 12 which was operated by NASA after receiving a Bachelor of Science degree at the University of Texas at Austin in 1955. Alan is now retired.', 'Alan Bean is a US national, who was born in Wheeler, Texas. He received a B.S. degree at UT at Austin in 1955. He was a test pilot and crewed the NASA operated Apollo 12. He is now retired.']


Output: SIMILAR