import sys
input = sys.stdin.readline
from scipy.sparse import csr_matrix
from scipy.sparse.csgraph import minimum_spanning_tree

MOD = 10 ** 9 + 7

N,M = map(int,input().split())
X = int(input())
U,V,W = [],[],[]
for _ in range(M):
    u,v,w = map(int,input().split())
    U.append(u-1)
    V.append(v-1)
    W.append(w)

graph = csr_matrix((W,(U,V)),(N,N))
tree_matrix = minimum_spanning_tree(graph, overwrite = True).astype(int)
min_tree_size = tree_matrix.sum()
tree_matrix += tree_matrix.T

tree = [[] for _ in range(N+10)]
for x,y in zip(*tree_matrix.nonzero()):
    tree[x].append(y)

# treeにおける2頂点の間の辺の最大値を求めたい
# LCA。2^n個手前およびそこまでの最大値を覚える

parent = [[-1] * 12 for _ in range(N+10)]
max_wt = [[0] * 12 for _ in range(N+10)]
depth = [0] * N

tree_matrix = tree_matrix.todense()

def dfs(v=0,p=-1,dep=0):
    parent[v][0] = p
    depth[v] = dep
    if v != 0:
        max_wt[v][0] = tree_matrix[p,v]
    for n in range(1,11):
        parent[v][n] = parent[parent[v][n-1]][n-1]
        max_wt[v][n] = max(max_wt[v][n-1], max_wt[parent[v][n-1]][n-1])
    for w in tree[v]:
        if w == p:
            continue
        dfs(w,v,dep+1)

dfs()

def max_wt_between(x,y):
    # LCA しながら重みの最大値を得る
    wt = 0
    dx,dy = depth[x], depth[y]
    if dx > dy:
        x,y = y,x
        dx,dy = dy,dx
    while dy > dx:
        diff = dy - dx
        step = diff & (-diff)
        n = step.bit_length() - 1
        wt = max(wt, max_wt[y][n])
        y = parent[y][n]
        dy -= step
    if x == y:
        return wt
    step = 1 << 11
    while step:
        n = step.bit_length() - 1
        rx,ry = parent[x][n], parent[y][n]
        if rx != ry:
            x,y = rx,ry
            wt = max(wt, max_wt[x][n], max_wt[y][n])
        step >>= 1
    return max(wt, max_wt[x][0], max_wt[y][0])

# 各edgeに対して、その辺を含む最小の全域木の大きさを求める
min_size = []
for u,v,w in zip(U,V,W):
    if tree_matrix[u,v] != 0:
        min_size.append(min_tree_size)
    else:
        x = max_wt_between(u,v)
        min_size.append(min_tree_size + w - x)

sm = sum(1 if s < X else 0 for s in min_size)
eq = sum(1 if s == X else 0 for s in min_size)
gr = sum(1 if s > X else 0 for s in min_size)

if eq == 0:
    answer = 0
elif sm == 0:
    # eq 内の辺が完全同色でなければよい
    answer = (pow(2,eq,MOD) - 2) * pow(2,gr,MOD) % MOD
else:
    # sm 内が完全同色でなければならない。
    # eq 内は、smの色と異なる色を持っていれば何でもよい
    answer = 2 * (pow(2,eq,MOD) - 1) * pow(2,gr,MOD) % MOD

print(answer)



### FIXED CODE ###

import sys
input = sys.stdin.readline

MOD = 10 ** 9 + 7

N,M = map(int,input().split())
X = int(input())
UVW = [[int(x) for x in input().split()] for _ in range(M)]
UVW.sort(key = lambda x: x[2])

root = list(range(N+1))
def find_root(x):
    y = root[x]
    if x == y:
        return x
    z = find_root(y)
    root[x] = z
    return z

# min spanning tree
tree = [set() for _ in range(N+1)]
min_tree_size = 0
for u,v,w in UVW:
    ru = find_root(u)
    rv = find_root(v)
    if ru == rv:
        continue
    root[ru] = rv
    min_tree_size += w
    tree[u].add((v,w))
    tree[v].add((u,w))

# treeにおける2頂点の間の辺の最大値を求めたい
# LCA。2^n個手前およびそこまでの最大値を覚える

parent = [[0] * 12 for _ in range(N+1)]
max_wt = [[0] * 12 for _ in range(N+1)]
depth = [0] * (N+1)

def dfs(v=1,p=0,dep=0,w=0):
    parent[v][0] = p
    depth[v] = dep
    max_wt[v][0] = w
    for n in range(1,11):
        parent[v][n] = parent[parent[v][n-1]][n-1]
        max_wt[v][n] = max(max_wt[v][n-1], max_wt[parent[v][n-1]][n-1])
    for u,w in tree[v]:
        if u == p:
            continue
        dfs(u,v,dep+1,w)

dfs()

def max_wt_between(x,y):
    # LCA しながら重みの最大値を得る
    wt = 0
    dx,dy = depth[x], depth[y]
    if dx > dy:
        x,y = y,x
        dx,dy = dy,dx
    while dy > dx:
        diff = dy - dx
        step = diff & (-diff)
        n = step.bit_length() - 1
        wt = max(wt, max_wt[y][n])
        y = parent[y][n]
        dy -= step
    if x == y:
        return wt
    step = 1 << 11
    while step:
        n = step.bit_length() - 1
        rx,ry = parent[x][n], parent[y][n]
        if rx != ry:
            wt = max(wt, max_wt[x][n], max_wt[y][n])
            x,y = rx,ry
        step >>= 1
    return max(wt, max_wt[x][0], max_wt[y][0])

# 各edgeに対して、その辺を含む最小の全域木の大きさを求める
min_size = []
for u,v,w in UVW:
    if (v,w) in tree[u]:
        min_size.append(min_tree_size)
    else:
        x = max_wt_between(u,v)
        min_size.append(min_tree_size + w - x)

sm = sum(1 if s < X else 0 for s in min_size)
eq = sum(1 if s == X else 0 for s in min_size)
gr = sum(1 if s > X else 0 for s in min_size)

if eq == 0:
    answer = 0
elif sm == 0:
    # eq 内の辺が完全同色でなければよい
    answer = (pow(2,eq,MOD) - 2) * pow(2,gr,MOD) % MOD
else:
    # sm 内が完全同色でなければならない。
    # eq 内は、smの色と異なる色を持っていれば何でもよい
    answer = 2 * (pow(2,eq,MOD) - 1) * pow(2,gr,MOD) % MOD

print(answer)