#!/usr/bin/env python3

import collections
import heapq


IMPOSSIBLE = -1
Edge = collections.namedtuple("Edge", "start end money time")
AdjVertex = collections.namedtuple("AdjVertex", "dest, money, time")
State = collections.namedtuple("State", "time money vertex")


def compute_min_time(num_vertices, money_limit, adj_vertices):
    pq = []
    heapq.heappush(pq, State(0, 0, 0))
    while pq:
        state0 = heapq.heappop(pq)
        if state0.vertex == num_vertices - 1:
            return state0.time
        for v in adj_vertices[state0.vertex]:
            new_money = state0.money + v.money
            if new_money <= money_limit:
                new_time = state0.time + v.time
                heapq.heappush(pq, State(new_time, new_money, v.dest))
    else:
        return IMPOSSIBLE


def main():
    num_vertices = int(input())
    money_limit = int(input())
    _ = input()
    ss = map(lambda x: int(x) - 1, input().split())
    ts = map(lambda x: int(x) - 1, input().split())
    ys = map(int, input().split())
    ms = map(int, input().split())
    adj_vertices = [set() for _ in range(num_vertices)]
    for edge in (Edge(*args) for args in zip(ss, ts, ys, ms)):
        adj_vertices[edge.start].add(AdjVertex(*edge[1:]))
    answer = compute_min_time(num_vertices, money_limit, adj_vertices)
    print(answer)


if __name__ == '__main__':
    main()