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.

Example Input: In the year of 1962, the building named Tour CIBC was constructed with a height of184.0 m (604 ft), a CTBUH of 225.6 m (740 ft), and 45 floors.
Example Output: [['Tour CIBC', 'HEIGHT', '184.0 m (604 ft) (225.6 m (740 ft) tip)'], ['184.0 m (604 ft) (225.6 m (740 ft) tip)', 'FLOOR_COUNT', '45'], ['[TABLECONTEXT]', 'BUILDING', 'Tour CIBC'], ['[TABLECONTEXT]', '[TITLE]', 'List of tallest buildings in Canada'], ['Tour CIBC', 'YEARS', '1962']]

Example Input: Strada is an Italian food venue near Rainbow Vegetarian Café that is children friendly and doesn't cost more than £30.
Example Output: [['Strada', 'food', 'Italian'], ['Strada', 'priceRange', 'more than £30'], ['Strada', 'familyFriendly', 'yes'], ['Strada', 'near', 'Rainbow Vegetarian Café']]

Example Input: The Mill is an Italian pub with high priced food in riverside
Example Output:
[['The Mill', 'eatType', 'pub'], ['The Mill', 'food', 'Italian'], ['The Mill', 'priceRange', 'high'], ['The Mill', 'area', 'riverside']]