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:
There is a family-friendly Called The Golden Curry that provide Italian food and has 5 out of 5 customer rating. the place is in the riverside near Café Rouge

Ex Output:
[['The Golden Curry', 'food', 'Italian'], ['The Golden Curry', 'customer rating', '5 out of 5'], ['The Golden Curry', 'area', 'riverside'], ['The Golden Curry', 'familyFriendly', 'yes'], ['The Golden Curry', 'near', 'Café Rouge']]


Ex Input:
1634: The Bavarian Crisis is a hardcover publication written by Eric Flint.

Ex Output:
[['1634: The Bavarian Crisis', 'AUTHOR', 'Eric Flint'], ['1634: The Bavarian Crisis', 'MEDIA_TYPE', 'Hardcover']]


Ex Input:
Near Avalon in the city centre, Blue Spice is a highly rated, averagely priced coffee  shop and is not kid-friendly.

Ex Output:

[['Blue Spice', 'eatType', 'coffee shop'], ['Blue Spice', 'priceRange', '£20-25'], ['Blue Spice', 'customer rating', 'high'], ['Blue Spice', 'area', 'city centre'], ['Blue Spice', 'familyFriendly', 'no'], ['Blue Spice', 'near', 'Avalon']]