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.

Input: Consider Input: A coffee shop in Riverside called The Golden Palace serves Indian food and  provides moderate pricing but has only a 1 out of 5 customer rating.

Output: [['The Golden Palace', 'eatType', 'coffee shop'], ['The Golden Palace', 'food', 'Indian'], ['The Golden Palace', 'customer rating', '1 out of 5'], ['The Golden Palace', 'area', 'riverside']]


Input: Consider Input: The Wrestlers is a Chinese restaurant with a high price range and customer rating of 1 out of 5. Not kid friendly.

Output: [['The Wrestlers', 'eatType', 'restaurant'], ['The Wrestlers', 'food', 'Chinese'], ['The Wrestlers', 'priceRange', 'high'], ['The Wrestlers', 'customer rating', '1 out of 5'], ['The Wrestlers', 'familyFriendly', 'no']]


Input: Consider Input: Airbus manufactures the A330 MRTT military transport aircraft, which first flew in 2007 and has a maximum range of 14,800 km.


Output: [['[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']]