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: ['The adults only The Waterman is sited near the Thames , it offers highly recommended Italian food at mid-range prices.', 'There are 1311 people in Eidsvold in 1954']

Output: DISSIMILAR


Input: Consider Input: ['Alan Shepard, who was born in New Hampshire and served as a test pilot, is deceased.', 'Alan Shepard (born in New Hampshire) served as a test pilot but is now deceased.']

Output: SIMILAR


Input: Consider Input: ['The Wheelbase for Model 97300 is 2692/106.', 'The location identifier for Al-Taqaddum air base is MAT.']


Output: DISSIMILAR