This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence and the output is a list of triplets of the form [subject, predicate, object] that capture the relationships present in the sentence. When a sentence has more than 1 RDF triplet possible, the output must contain all of them.

[EX Q]: Cocum is a coffee shop serving high quality Italian food that is low priced and family friendly.
[EX A]: [['Cocum', 'eatType', 'coffee shop'], ['Cocum', 'food', 'Italian'], ['Cocum', 'priceRange', 'cheap'], ['Cocum', 'customer rating', '5 out of 5'], ['Cocum', 'familyFriendly', 'yes']]

[EX Q]: Airbus manufactures the A330 MRTT military transport aircraft, which first flew in 2007 and has a maximum range of 14,800 km.
[EX A]: [['[TABLECONTEXT]', '[TITLE]', 'Military transport aircraft'], ['[TABLECONTEXT]', 'MODEL', 'A330 MRTT'], ['A330 MRTT', 'FIRST_FLIGHT', '2007'], ['A330 MRTT', 'MANUFACTURER', 'Airbus'], ['A330 MRTT', 'MAX_RANGE_(KM)', '14,800']]

[EX Q]: Joe Biden and bacon explosion are both from the United States.
[EX A]:
[['Bacon Explosion', 'COUNTRY', 'United States'], ['United States', 'LEADER_NAME', 'Joe Biden']]