Sentence: Arem- arem is a main course made of compressed rice which is cooked in a banana leaf with vegetables or minced meat. It is found nationwide in Indonesia, but it is more specific to Java.

Question: What structured data could we extract from this sentence?

A: Arem-arem, country, Indonesia; Arem-arem, ingredient, Banana leaf; Arem-arem, course, "Main course"; Arem-arem, mainIngredient, "compressed rice cooked in banana leaf with vegetables or minced meat fillings"; Arem-arem, region, "Nationwide in Indonesia, but more specific to Java"

input question: Sentence: Adam Koc was awarded the Officer's Star Parasol.

Structured data: Adam Koc, award, Officer's Star "Parasol"

Sentence: Julia Morgan is the architect of Asilomar Conference Grounds and Chinatown in San Francisco. What data can be extracted from this sentence?
A: Asilomar Conference Grounds, architect, Julia Morgan; Julia Morgan, significantBuilding, Chinatown, San Francisco

Sentence: GMA Network is the parent company of GMA New Media; which is an entertainment industry. GMA New Media offers services concerning the World Wide Web and also produces online games.

What data can be extracted from this sentence?

A: GMA New Media, industry, Entertainment; GMA New Media, product, World Wide Web; GMA New Media, product, Online Game; GMA New Media, parentCompany, GMA Network (company)

Sentence: The 3rd runway at Ardmore Airport (New Zealand) is made of Poaceae and has a length of 518.0.

Question: What structured data could we extract from this sentence?

A: Ardmore Airport (New Zealand), 3rdRunwaySurfaceType, Poaceae; Ardmore Airport (New Zealand), runwayLength, 518.0

Sentence: The A-Rosa Luna is built by Rostock, Germany's, Neptun Werft. Germans are the people of Germany.

Question: What structured data could we extract from this sentence?

A:
Germany, demonym, Germans; Neptun Werft, city, Rostock; Rostock, country, Germany; A-Rosa Luna, builder, Neptun Werft