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: 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: The 20 h koruna is 1.7 mm thick and 0.74 g mass.

Output: [['99% aluminium 1% magnesium', 'THICKNESS', '1.7mm'], ['20 h', 'COMPOSITION', '99% aluminium 1% magnesium'], ['99% aluminium 1% magnesium', 'MASS', '0.74 g']]


Input: Consider Input: 108 St Georges Terrace in Perth, Australia, has 50 floors and was completed in 198 at a cost of 120 million Australian dollars.


Output: [['108 St Georges Terrace', 'LOCATION', 'Perth'], ['Perth', 'COUNTRY', 'Australia'], ['108 St Georges Terrace', 'COMPLETION_DATE', '1988'], ['108 St Georges Terrace', 'COST', '"120 million (Australian dollars)"'], ['108 St Georges Terrace', 'FLOOR_COUNT', '50']]