human
The relation type can have two directions (e1, e2) or (e2, e1), depending on the context of the sentence. 
The labels are :
0) Cause-Effect(e1, e2)
1) Cause-Effect(e2, e1)
2) Component-Whole(e1, e2)
3) Component-Whole(e2, e1)
4) Content-Container(e1, e2)
5) Content-Container(e2, e1)
6) Entity-Destination(e1, e2)
7) Entity-Destination(e2, e1)
8) Entity-Origin(e1, e2)
9) Entity-Origin(e2, e1)
10) Instrument-Agency(e1, e2)
11) Instrument-Agency(e2, e1)
12) Member-Collection(e1,e2)
13) Member-Collection(e2,e1)
14) Message-Topic(e1,e2)
15) Message-Topic(e2,e1)
16) Product-Producer(e1,e2)
17) Product-Producer(e2,e1)
18) Other

Given Sentence: ""<e1>Red grape</e1> <e2>wine</e2> is an alcoholic fruit drink of between 10 and 14% alcoholic strength.""
Generate Output index: ?
Just give the output index of the label of the sentence given above.
gpt
--- Reasoning ---
1. Is the question multiple-choice question?
No
2. Is it implied multiple-choice question?
No
3. If two experts were independently asked the question, will the final answer be exactly the same?
Yes

--- Answer ---
grounded