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 Portuguese word for the English word "grandfather" is "avô / ɐˈvo'".
Example Output: [['Grandfather', 'PORTUGUESE', 'Avô /ɐˈvo/']]

Example Input: A coffee shop named Fitzbillies is located  in the city centre. It is children friendly with a high price range and average customer rating.
Example Output: [['Fitzbillies', 'eatType', 'coffee shop'], ['Fitzbillies', 'priceRange', 'moderate'], ['Fitzbillies', 'customer rating', 'average'], ['Fitzbillies', 'area', 'city centre'], ['Fitzbillies', 'familyFriendly', 'yes']]

Example Input: The city centre has Japanese food via a coffee shop, The Wrestlers. family-friendly and less than £20, this eatery is located near Raja Indian Cuisine.
Example Output:
[['The Wrestlers', 'eatType', 'coffee shop'], ['The Wrestlers', 'food', 'Japanese'], ['The Wrestlers', 'priceRange', 'less than £20'], ['The Wrestlers', 'area', 'city centre'], ['The Wrestlers', 'familyFriendly', 'yes'], ['The Wrestlers', 'near', 'Raja Indian Cuisine']]