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.

Ex Input:
Fitzbillies is a coffee shop with low prices and a 5 out of 5 rating. It serves fast food and is not family-friendly.

Ex Output:
[['Fitzbillies', 'eatType', 'coffee shop'], ['Fitzbillies', 'food', 'Fast food'], ['Fitzbillies', 'priceRange', 'cheap'], ['Fitzbillies', 'customer rating', '5 out of 5'], ['Fitzbillies', 'familyFriendly', 'no']]


Ex Input:
The Italian composer Tomaso Albinoni  composition works list

Ex Output:
[['Diomede punito da Alcide', 'NOTES', 'music lost'], ['Diomede punito da Alcide', 'PREMIÈRE_DATE', '1700, autumn'], ['Diomede punito da Alcide', 'LIBRETTO', 'Aurelio Aureli'], ['1700, autumn', 'PLACE,_THEATRE', "Venice, Teatro Sant'Angelo"]]


Ex Input:
Cocum is a pub with 1 out of 5 ratings and is high priced range but is child friendly

Ex Output:

[['Cocum', 'eatType', 'pub'], ['Cocum', 'priceRange', 'high'], ['Cocum', 'customer rating', '5 out of 5'], ['Cocum', 'familyFriendly', 'yes']]