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:
Blue Spice is a cheap restaurant located in the city centre. It is not family-friendly and has a customer rating 5 out of 5.

Ex Output:
[['Blue Spice', 'eatType', 'restaurant'], ['Blue Spice', 'priceRange', 'cheap'], ['Blue Spice', 'customer rating', '5 out of 5'], ['Blue Spice', 'area', 'city centre'], ['Blue Spice', 'familyFriendly', 'no']]


Ex Input:
When tony kanaan is the driver 153.965 is the average speed miles per hour.

Ex Output:
[['Tony Kanaan', 'AVERAGE_SPEED', '153.965']]


Ex Input:
Near Café Sicilia with a cheap price range is The Punter. An average rated Italian coffee shop.

Ex Output:

[['The Punter', 'eatType', 'coffee shop'], ['The Punter', 'food', 'Italian'], ['The Punter', 'priceRange', 'cheap'], ['The Punter', 'customer rating', 'average'], ['The Punter', 'near', 'Café Sicilia']]