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 Waterman is a good Japanese place for kids in the city centre. Plates are expensive but the experience was good

Ex Output:
[['The Waterman', 'food', 'Japanese'], ['The Waterman', 'priceRange', 'high'], ['The Waterman', 'area', 'city centre'], ['The Waterman', 'familyFriendly', 'yes']]


Ex Input:
Allama Iqbal International airport is located in Pakistan and has a runway named 18R/36L. The runway length is 2900.0.

Ex Output:
[['Allama Iqbal International Airport', 'LOCATION', 'Pakistan'], ['Allama Iqbal International Airport', 'RUNWAY_NAME', '"18R/36L"'], ['Allama Iqbal International Airport', 'RUNWAY_LENGTH', '2900.0']]


Ex Input:
Located near Café Adriatic is an expensive venue called Travellers Rest Beefeater. It is rated three stars.

Ex Output:

[['Travellers Rest Beefeater', 'priceRange', 'high'], ['Travellers Rest Beefeater', 'customer rating', '3 out of 5'], ['Travellers Rest Beefeater', 'near', 'Café Adriatic']]