class Graph:

    def __init__(self, n, directed=False, decrement=True, edges=[]):
        self.n = n
        self.directed = directed
        self.decrement = decrement
        self.edges = [[] for _ in range(self.n)]
        for x, y, cost in edges:
            self.add_edge(x, y, cost)

    def add_edge(self, x, y, cost):
        if self.decrement:
            x -= 1
            y -= 1
        self.edges[x].append((y, cost))
        if self.directed == False:
            self.edges[y].append((x, cost))

    def dijkstra(self, start=None, INF=10**18):
        """
        返り値は 0-indexed !!!
        :param start: スタート地点
        :return: スタート地点から各点への距離のリスト
        備考: heqpq の比較のための key は第一引数である点に注意( = heappush(heapq, (key,value)) )
        """
        res = [INF] * self.n
        if start is None: start=self.decrement
        start=start-self.decrement
        res[start] = 0
        next_set = [(0, start)]
        parents=[-1]*N
        while next_set:
            dist, p = heappop(next_set)
            if res[p] < dist:
                continue
            """ここで頂点pまでの最短距離が確定。よって、ここを通るのはN回のみ"""
            for q, cost in self.edges[p]:
                temp_d = dist + cost
                if temp_d < res[q]:
                    res[q] = temp_d
                    parents[q] = p
                    heappush(next_set, (temp_d, q))

        return res, parents

    def draw(self):
        """
        :return: グラフを可視化
        """
        import matplotlib.pyplot as plt
        import networkx as nx

        if self.directed:
            G = nx.DiGraph()
        else:
            G = nx.Graph()
        for x in range(self.n):
            for y, cost in self.edges[x]:
                G.add_edge(x + self.decrement, y + self.decrement, weight=cost)


        edge_labels = {(i, j): w['weight'] for i, j, w in G.edges(data=True)}
        pos = nx.spring_layout(G)
        nx.draw_networkx(G, pos, with_labels=True, connectionstyle='arc3, rad = 0.1')
        nx.draw_networkx_edge_labels(G, pos, edge_labels=edge_labels)
        plt.axis("off")
        plt.show()

#########################################################
def example():
    global input
    example = iter(
        """
3 3
1 2 1
1 3 1
2 3 3
        """
            .strip().split("\n"))
    input = lambda: next(example)

def example2():
    global input
    example = iter(
        """
6 9
1 2 7
2 3 10
1 3 9
1 6 14
3 6 2
5 6 9
4 5 6
2 4 15
3 4 11
        """
            .strip().split("\n"))
    input = lambda: next(example)

#########################################################
import sys
from heapq import *
input = sys.stdin.readline


INF = 10**18  # 大きい数字

N, M, P, Q, T = map(int, input().split())

graph = Graph(N, directed=False, decrement=True)
for _ in range(M):
    x, y, cost = map(int, input().split())
    graph.add_edge(x, y, cost)

dist, par = graph.dijkstra(start=1,INF=INF)
distP, parP = graph.dijkstra(start=P,INF=INF)
distQ, parQ = graph.dijkstra(start=Q,INF=INF)




res=-1
for i in range(N):
    off = dist[i]*2
    t1 = distP[i]
    t2 = distQ[i]
    t=max(t1,t2)*2
    if off+t>T:
        continue
    res=max(T-t,res)
    if t1>t2:
        g=i
        while g!=-1:
            tp=t1-distP[g]
            if off+tp*2+t2*2<=T:
                res=max(T-distP[g]*2,res)
            g=parP[g]
    else:
        g=i
        while g!=-1:
            tp=t2-distQ[g]
            if off+tp*2+t1*2<=T:
                res=max(T-distQ[g]*2,res)
            g=parQ[g]


print(res)