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.

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

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


Input: Consider Input: Flights to Houston were the second busiest at the Playa de Oro International Airport, via United Express.

Output: [['United States, Houston', 'AIRLINE', 'United Express'], ['United States, Houston', 'PASSENGERS', '5,465'], ['[TABLECONTEXT]', 'CITY', 'United States, Houston'], ['[TABLECONTEXT]', '[TITLE]', 'Playa de Oro International Airport'], ['5,465', 'RANK', '2']]


Input: Consider Input: Cities in Wisconsin include Antigo in Langlade county, with a population of 8560, incorporated in 1885.


Output: [['Langlade', 'CITY', 'Antigo'], ['Antigo', 'INCORPORATION_DATE', '1885'], ['[TABLECONTEXT]', 'COUNTY(IES)', 'Langlade'], ['Antigo', 'POPULATION_(2000_CENSUS)', '8,560'], ['[TABLECONTEXT]', '[TITLE]', 'List of cities in Wisconsin']]