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.

[EX Q]: ['The title of the episode directed by David von Ancken, with a episode number bigger than 16.0\'s "in utero.', 'Bibimbap House near The Rice Boat in riverside does Italian food.']
[EX A]: DISSIMILAR

[EX Q]: ['Two of the leaders of France are Manuel Valls and Gerard Larcher, it is also where baked Alaska is from.', 'Baked Alaska is from the country of France, which leaders are Manual Valls and Gérard Larcher.']
[EX A]: SIMILAR

[EX Q]: ['Kid friendly coffee shop with an average price range and high customer rating. Blue Spice is locater in the city centre near Avalon.', 'Blue Spice is a kid friendly coffee shop with an average price range and a high customer rating. It is located near Avalon in the city centre.']
[EX A]:
SIMILAR