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
import java.util.LinkedHashMap;
import java.util.Map;
import java.util.Scanner;

public class Main {

	static Scanner sc = new Scanner(System.in);
	public static void main(String[] args) {
		for (; sc.hasNext();) {
			int n = Integer.parseInt(sc.nextLine());
				if (n == 0) {
					break;
				}
			hasOverMillion(n);
		}

	}

	private static void hasOverMillion(int n) {
		Map<Integer, Long> sale_data = new LinkedHashMap<Integer, Long>();

			for (int i = 0; i < n; i++) {
				String[] str = sc.nextLine().split(" ");

				int e = Integer.parseInt(str[0]);
				int p = Integer.parseInt(str[1]);
				int q = Integer.parseInt(str[2]);

					if (sale_data.containsKey(e)) {
						sale_data.put(e, sale_data.get(e) +(long) ( p * q ) );
					} else {
						sale_data.put(e, (long) (p * q));
					}
			}

			boolean hasOverMillion = false;

			for(int key : sale_data.keySet() ) {
				long value = sale_data.get(key);
					if (value >= 1000000) {

						if (hasOverMillion == false) {
							hasOverMillion = true;
						}

						System.out.println(key);
					}
			}

			if (!hasOverMillion) {
				System.out.println("NA");
			}


	}

}
