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:
The French restaurant, The Eagle, is a high priced coffee shop near Burger King. It is not children friendly, and has a rating of 3 out of 5.

Ex Output:
[['The Eagle', 'eatType', 'restaurant'], ['The Eagle', 'food', 'French'], ['The Eagle', 'priceRange', 'high'], ['The Eagle', 'customer rating', '3 out of 5'], ['The Eagle', 'familyFriendly', 'no'], ['The Eagle', 'near', 'Burger King']]


Ex Input:
The 12th rank is Semi-Tough from studio United Artists with the gross amount $37,187,139.

Ex Output:
[['Semi-Tough', 'RANK', '12.'], ['Semi-Tough', 'STUDIO', 'United Artists'], ['12.', 'GROSS', '$37,187,139']]


Ex Input:
The sago and sweet potato-based dessert Binignit is a dish from the region of Visayas, Philippines.

Ex Output:

[['Binignit', 'INGREDIENT', 'Sweet potato'], ['Binignit', 'REGION', 'Visayas'], ['Binignit', 'MAIN_INGREDIENTS', 'Sago'], ['Binignit', 'COURSE', 'Dessert'], ['Binignit', 'COUNTRY', 'Philippines']]