There is data on sales of your company. Your task is to write a program which identifies good workers.

The program should read a list of data where each item includes the employee ID i, the amount of sales q and the corresponding unit price p. Then, the program should print IDs of employees whose total sales proceeds (i.e. sum of p × q) is greater than or equal to 1,000,000 in the order of inputting. If there is no such employees, the program should print "NA". You can suppose that n < 4000, and each employee has an unique ID. The unit price p is less than or equal to 1,000,000 and the amount of sales q is less than or equal to 100,000.



Input

The input consists of several datasets. The input ends with a line including a single 0. Each dataset consists of:


n (the number of data in the list)
i p q
i p q
:
:
i p q


Output

For each dataset, print a list of employee IDs or a text "NA"

Example

Input

4
1001 2000 520
1002 1800 450
1003 1600 625
1001 200 1220
2
1001 100 3
1005 1000 100
2
2013 5000 100
2013 5000 100
0


Output

1001
1003
NA
2013
class Member():
	def __init__(self, mi):
		self.member_id	= int(mi)
		self.datalist = []
		
	def addData(self, pr, sn):
		self.datalist.append([int(pr), int(sn)])

	def calc(self):
		sum = 0
		for p, s in self.datalist:
			sum += p * s
		
		return sum
			

output_list = []
members = []
member_dict = {}

while 1:
	n = int(raw_input())
	if n == 0:
		break
	
	dataset = [raw_input() for i in range(n)]
	
	for item in dataset:
		rawlist = map(int, item.split())
		
		if rawlist[0] not in [mem.member_id for mem in members]:
			member_dict[rawlist[0]] = Member(rawlist[0])
			members.append( member_dict[rawlist[0]] )
		
		member_dict[rawlist[0]].addData(rawlist[1], rawlist[2])
		
	output_list_length = len(output_list)
	for mem in members:
		if mem.calc() >= 1000000:
			output_list.append(mem.member_id)
		
		if output_list_length == len(output_list):
			output_list.append("NA")
			
	members = []
	member_dict = {}
			

for s in output_list:
	print s