Problem: Data: Midsummer House food Japanese; Midsummer House customer rating low; Midsummer House near Cafe Rouge

What would a sentence about this data be like?

A: Midsummer House is a Japanese food near Cafe Rouge is rated to a low customer rate.
Question:
This is some data: The Waterman eatType pub; The Waterman food English; The Waterman customer rating 3 out of 5; The Waterman area riverside.
Generate a detailed description of this data.
Answer:
In the riverside area is a pub, The Waterman, with a customer Rating of 3 out of 5 that serves English food.
A.C. Cesena GROUND Italy; A.C. Cesena LEAGUE Serie B

A.C. Cesena, whose ground is located in Italy, are in the Serie B league.
Problem: *Agra Airport IATA_LOCATION_IDENTIFIER "AGR"; Agra Airport LOCATION Uttar Pradesh; Uttar Pradesh IS_PART_OF Awadh; Uttar Pradesh IS_PART_OF Bundelkhand*
A: AGR is the ATA Location Identifier for Agra Airport in Uttar Pradesh which is part of both Awadh and Bundelkhand.
Input: This is some data: The Eagle eatType coffee shop; The Eagle food Fast food; The Eagle area city centre; The Eagle near Burger King. Generate a detailed description of this data.
Output: The Eagle is a fast food coffee shop located in city centre, near Burger King.
The Cambridge Blue food Fast food; The Cambridge Blue near Cafe Brazil
The Cambridge Blue serves fast food near Cafe Brazil.