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 Input:
['The Acta Palaeontologica Polonica has a LCCN number of 60040714 and the abbreviation of Acta Palaeontol. Pol. It comes under the academic discipline of Paleobiology.', 'The Acta Palaeontologica Polonica has a LCCN number of 60040714 and the abbreviated name of Acta Palaeontol. Pol. It comes under the academic discipline of Paleobiology.']

Ex Output:
SIMILAR


Ex Input:
['Khalid Mahmood is a British politician and one of the leaders of Birmingham which is the home town of the architect John Madin who designed 103 Colmore Row.', '103 Colmore Row was designed by the architect John Madin whose home town is Birmingham, a town where Khalid Mahmood (British politician) is one of the leaders.']

Ex Output:
SIMILAR


Ex Input:
['Adolfo Suárez Madrid–Barajas Airport which is operated by ENAIRE can be found in Madrid, Paracuellos de Jarama, San Sebastián de los Reyes and Alcobendas. The runway name is 14L/32R and it has a length of 4349.0.', 'Adolfo Suarez Madrid-Barajas airport is located at Madrid, Paracuellos de Jarama, San Sebastián de los Reyes and Alcobendas and is operated by ENAIRE. The runway name is 14L/32R and has a length of 4349.0.']

Ex Output:

SIMILAR