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: The Rice Boat provides Indian food in the price range of £20-25. It has a high customer rating. It is located in riverside near Express by Holiday Inn. It is family friendly.
Example Output: [['The Rice Boat', 'food', 'Indian'], ['The Rice Boat', 'priceRange', '£20-25'], ['The Rice Boat', 'customer rating', 'high'], ['The Rice Boat', 'area', 'riverside'], ['The Rice Boat', 'familyFriendly', 'yes'], ['The Rice Boat', 'near', 'Express by Holiday Inn']]

Example Input: Aromi is a coffee shop located in the riverside area with average customer rating which provides Indian food and it is not family friendly.
Example Output: [['Aromi', 'eatType', 'coffee shop'], ['Aromi', 'food', 'Indian'], ['Aromi', 'customer rating', 'average'], ['Aromi', 'area', 'riverside'], ['Aromi', 'familyFriendly', 'no']]

Example Input: 21 year old Walter Neimann from Hermansville, MI had a height of 5'11.
Example Output:
[['Walter Neimann', 'HOMETOWN', 'Hermansville, MI'], ['Walter Neimann', 'HEIGHT', '5-11'], ['Walter Neimann', 'AGE', '21']]