def divisors(M):
    d=[]
    i=1
    while M>=i**2:
        if M%i==0:
            d.append(i)
            if i**2!=M:
                d.append(M//i)
        i=i+1
    return d

def popcount(x):
    x = x - ((x >> 1) & 0x55555555)
    x = (x & 0x33333333) + ((x >> 2) & 0x33333333)
    x = (x + (x >> 4)) & 0x0f0f0f0f
    x = x + (x >> 8)
    x = x + (x >> 16)
    return x & 0x0000007f

def eratosthenes(n):
    res=[0 for i in range(n+1)]
    prime=set([])
    for i in range(2,n+1):
        if not res[i]:
            prime.add(i)
            for j in range(1,n//i+1):
                res[i*j]=1
    return prime

def factorization(n):
    res=[]
    for p in prime:
        if n%p==0:
            while n%p==0:
                n//=p
            res.append(p)
    if n!=1:
        res.append(n)
    return res

def euler_phi(n):
    res = n
    for x in range(2,n+1):
        if x ** 2 > n:
            break
        if n%x==0:
            res = res//x * (x-1)
            while n%x==0:
                n //= x
    if n!=1:
        res = res//n * (n-1)
    return res

def ind(b,n):
    res=0
    while n%b==0:
        res+=1
        n//=b
    return res

def isPrimeMR(n):
    if n==1:
        return 0
    d = n - 1
    d = d // (d & -d)
    L = [2, 3, 5, 7, 11, 13, 17]
    for a in L:
        t = d
        y = pow(a, t, n)
        if y == 1: continue
        while y != n - 1:
            y = (y * y) % n
            if y == 1 or t == n - 1: return 0
            t <<= 1
    return 1
def findFactorRho(n):
    from math import gcd
    m = 1 << n.bit_length() // 8
    for c in range(1, 99):
        f = lambda x: (x * x + c) % n
        y, r, q, g = 2, 1, 1, 1
        while g == 1:
            x = y
            for i in range(r):
                y = f(y)
            k = 0
            while k < r and g == 1:
                ys = y
                for i in range(min(m, r - k)):
                    y = f(y)
                    q = q * abs(x - y) % n
                g = gcd(q, n)
                k += m
            r <<= 1
        if g == n:
            g = 1
            while g == 1:
                ys = f(ys)
                g = gcd(abs(x - ys), n)
        if g < n:
            if isPrimeMR(g): return g
            elif isPrimeMR(n // g): return n // g
            return findFactorRho(g)
def primeFactor(n):
    i = 2
    ret = {}
    rhoFlg = 0
    while i*i <= n:
        k = 0
        while n % i == 0:
            n //= i
            k += 1
        if k: ret[i] = k
        i += 1 + i % 2
        if i == 101 and n >= 2 ** 20:
            while n > 1:
                if isPrimeMR(n):
                    ret[n], n = 1, 1
                else:
                    rhoFlg = 1
                    j = findFactorRho(n)
                    k = 0
                    while n % j == 0:
                        n //= j
                        k += 1
                    ret[j] = k

    if n > 1: ret[n] = 1
    if rhoFlg: ret = {x: ret[x] for x in sorted(ret)}
    return ret

def divisors(n):
    res = [1]
    prime = primeFactor(n)
    for p in prime:
        newres = []
        for d in res:
            for j in range(prime[p]+1):
                newres.append(d*p**j)
        res = newres
    res.sort()
    return res

def xorfactorial(num):#排他的論理和の階乗
    if num==0:
        return 0
    elif num==1:
        return 1
    elif num==2:
        return 3
    elif num==3:
        return 0
    else:
        x=baseorder(num)
        return (2**x)*((num-2**x+1)%2)+function(num-2**x)

def xorconv(n,X,Y):
    if n==0:
        res=[(X[0]*Y[0])%mod]
        return res
    x=[digit[i]+X[i+2**(n-1)] for i in range(2**(n-1))]
    y=[Y[i]+Y[i+2**(n-1)] for i in range(2**(n-1))]
    z=[digit[i]-X[i+2**(n-1)] for i in range(2**(n-1))]
    w=[Y[i]-Y[i+2**(n-1)] for i in range(2**(n-1))]
    res1=xorconv(n-1,x,y)
    res2=xorconv(n-1,z,w)
    former=[(res1[i]+res2[i])*inv for i in range(2**(n-1))]
    latter=[(res1[i]-res2[i])*inv for i in range(2**(n-1))]
    former=list(map(lambda x:x%mod,former))
    latter=list(map(lambda x:x%mod,latter))
    return former+latter

def merge_sort(A,B):
    pos_A,pos_B = 0,0
    n,m = len(A),len(B)
    res = []
    while pos_A < n and pos_B < m:
        a,b = A[pos_A],B[pos_B]
        if a < b:
            res.append(a)
            pos_A += 1
        else:
            res.append(b)
            pos_B += 1
    res += A[pos_A:]
    res += B[pos_B:]
    return res

class UnionFindVerSize():
    def __init__(self, N):
        self._parent = [n for n in range(0, N)]
        self._size = [1] * N
        self.group = N

    def find_root(self, x):
        if self._parent[x] == x: return x
        self._parent[x] = self.find_root(self._parent[x])
        stack = [x]
        while self._parent[stack[-1]]!=stack[-1]:
            stack.append(self._parent[stack[-1]])
        for v in stack:
            self._parent[v] = stack[-1]
        return self._parent[x]

    def unite(self, x, y):
        gx = self.find_root(x)
        gy = self.find_root(y)
        if gx == gy: return

        self.group -= 1

        if self._size[gx] < self._size[gy]:
            self._parent[gx] = gy
            self._size[gy] += self._size[gx]
        else:
            self._parent[gy] = gx
            self._size[gx] += self._size[gy]

    def get_size(self, x):
        return self._size[self.find_root(x)]

    def is_same_group(self, x, y):
        return self.find_root(x) == self.find_root(y)

class WeightedUnionFind():
    def __init__(self,N):
        self.parent = [i for i in range(N)]
        self.size = [1 for i in range(N)]
        self.val = [0 for i in range(N)]
        self.flag = True
        self.edge = [[] for i in range(N)]

    def dfs(self,v,pv):
        stack = [(v,pv)]
        new_parent = self.parent[pv]
        while stack:
            v,pv = stack.pop()
            self.parent[v] = new_parent
            for nv,w in self.edge[v]:
                if nv!=pv:
                    self.val[nv] = self.val[v] + w
                    stack.append((nv,v))

    def unite(self,x,y,w):
        if not self.flag:
            return
        if self.parent[x]==self.parent[y]:
            self.flag = (self.val[x] - self.val[y] == w)
            return

        if self.size[self.parent[x]]>self.size[self.parent[y]]:
            self.edge[x].append((y,-w))
            self.edge[y].append((x,w))
            self.size[x] += self.size[y]
            self.val[y] = self.val[x] - w
            self.dfs(y,x)
        else:
            self.edge[x].append((y,-w))
            self.edge[y].append((x,w))
            self.size[y] += self.size[x]
            self.val[x] = self.val[y] + w
            self.dfs(x,y)

class Dijkstra():
    class Edge():
        def __init__(self, _to, _cost):
            self.to = _to
            self.cost = _cost

    def __init__(self, V):
        self.G = [[] for i in range(V)]
        self._E = 0
        self._V = V

    @property
    def E(self):
        return self._E

    @property
    def V(self):
        return self._V

    def add_edge(self, _from, _to, _cost):
        self.G[_from].append(self.Edge(_to, _cost))
        self._E += 1

    def shortest_path(self, s):
        import heapq
        que = []
        d = [10**15] * self.V
        d[s] = 0
        heapq.heappush(que, (0, s))

        while len(que) != 0:
            cost, v = heapq.heappop(que)
            if d[v] < cost: continue

            for i in range(len(self.G[v])):
                e = self.G[v][i]
                if d[e.to] > d[v] + e.cost:
                    d[e.to] = d[v] + e.cost
                    heapq.heappush(que, (d[e.to], e.to))
        return d

#Z[i]:length of the longest list starting from S[i] which is also a prefix of S
#O(|S|)
def Z_algorithm(s):
    N = len(s)
    Z_alg = [0]*N

    Z_alg[0] = N
    i = 1
    j = 0
    while i < N:
        while i+j < N and s[j] == s[i+j]:
            j += 1
        Z_alg[i] = j
        if j == 0:
            i += 1
            continue
        k = 1
        while i+k < N and k + Z_alg[k]<j:
            Z_alg[i+k] = Z_alg[k]
            k += 1
        i += k
        j -= k
    return Z_alg

class BIT():
    def __init__(self,n,mod=0):
        self.BIT = [0]*(n+1)
        self.num = n
        self.mod = mod

    def query(self,idx):
        res_sum = 0
        mod = self.mod
        while idx > 0:
            res_sum += self.BIT[idx]
            if mod:
                res_sum %= mod
            idx -= idx&(-idx)
        return res_sum

    #Ai += x O(logN)
    def update(self,idx,x):
        mod = self.mod
        while idx <= self.num:
            self.BIT[idx] += x
            if mod:
                self.BIT[idx] %= mod
            idx += idx&(-idx)
        return

class dancinglink():
    def __init__(self,n,debug=False):
        self.n = n
        self.debug = debug
        self._left = [i-1 for i in range(n)]
        self._right = [i+1 for i in range(n)]
        self.exist = [True for i in range(n)]

    def pop(self,k):
        if self.debug:
            assert self.exist[k]
        L = self._left[k]
        R = self._right[k]
        if L!=-1:
            if R!=self.n:
                self._right[L],self._left[R] = R,L
            else:
                self._right[L] = self.n
        elif R!=self.n:
            self._left[R] = -1
        self.exist[k] = False

    def left(self,idx,k=1):
        if self.debug:
            assert self.exist[idx]
        res = idx
        while k:
            res = self._left[res]
            if res==-1:
                break
            k -= 1
        return res

    def right(self,idx,k=1):
        if self.debug:
            assert self.exist[idx]
        res = idx
        while k:
            res = self._right[res]
            if res==self.n:
                break
            k -= 1
        return res

class SparseTable():
    def __init__(self,A,merge_func,ide_ele):
        N=len(A)
        n=N.bit_length()
        self.table=[[ide_ele for i in range(n)] for i in range(N)]
        self.merge_func=merge_func

        for i in range(N):
            self.table[i][0]=A[i]

        for j in range(1,n):
            for i in range(0,N-2**j+1):
                f=self.table[i][j-1]
                s=self.table[i+2**(j-1)][j-1]
                self.table[i][j]=self.merge_func(f,s)

    def query(self,s,t):
        b=t-s+1
        m=b.bit_length()-1
        return self.merge_func(self.table[s][m],self.table[t-2**m+1][m])

class BinaryTrie:
    class node:
        def __init__(self,val):
            self.left = None
            self.right = None
            self.max = val

    def __init__(self):
        self.root = self.node(-10**15)

    def append(self,key,val):
        pos = self.root
        for i in range(29,-1,-1):
            pos.max = max(pos.max,val)
            if key>>i & 1:
                if pos.right is None:
                    pos.right = self.node(val)
                    pos = pos.right
                else:
                    pos = pos.right
            else:
                if pos.left is None:
                    pos.left = self.node(val)
                    pos = pos.left
                else:
                    pos = pos.left
        pos.max = max(pos.max,val)

    def search(self,M,xor):
        res = -10**15
        pos = self.root
        for i in range(29,-1,-1):
            if pos is None:
                break

            if M>>i & 1:
                if xor>>i & 1:
                    if pos.right:
                        res = max(res,pos.right.max)
                    pos = pos.left
                else:
                    if pos.left:
                        res = max(res,pos.left.max)
                    pos = pos.right
            else:
                if xor>>i & 1:
                    pos = pos.right
                else:
                    pos = pos.left

        if pos:
            res = max(res,pos.max)
        return res

def solveequation(edge,ans,n,m):
    #edge=[[to,dire,id]...]
    x=[0]*m
    used=[False]*n
    for v in range(n):
        if used[v]:
            continue
        y = dfs(v)
        if y!=0:
            return False
    return x

    def dfs(v):
        used[v]=True
        r=ans[v]
        for to,dire,id in edge[v]:
            if used[to]:
                continue
            y=dfs(to)
            if dire==-1:
                x[id]=y
            else:
                x[id]=-y
            r+=y
        return r

class Matrix():
    mod=10

    def set_mod(m):
        Matrix.mod=m

    def __init__(self,L):
        self.row=len(L)
        self.column=len(L[0])
        self._matrix=L
        self._matridigit = [[L[i][j] for j in range(self.column)] for i in range(self.row)]
        for i in range(self.row):
            for j in range(self.column):
                self._matridigit[i][j]%=Matrix.mod

    def __getitem__(self,item):
        if type(item)==int:
            raise IndexError("you must specific row and column")
        elif len(item)!=2:
            raise IndexError("you must specific row and column")

        i,j=item
        return self._matridigit[i][j]

    def __setitem__(self,item,val):
        if type(item)==int:
            raise IndexError("you must specific row and column")
        elif len(item)!=2:
            raise IndexError("you must specific row and column")

        i,j=item
        self._matridigit[i][j]=val

    def __add__(self,other):
        if (self.row,self.column)!=(other.row,other.column):
            raise SizeError("sizes of matrixes are different")

        res=[[0 for j in range(self.column)] for i in range(self.row)]
        for i in range(self.row):
            for j in range(self.column):
                res[i][j]=self._matridigit[i][j]+other._matridigit[i][j]
                res[i][j]%=Matrix.mod
        return Matrix(res)

    def __sub__(self,other):
        if (self.row,self.column)!=(other.row,other.column):
            raise SizeError("sizes of matrixes are different")

        res=[[0 for j in range(self.column)] for i in range(self.row)]
        for i in range(self.row):
            for j in range(self.column):
                res[i][j]=self._matridigit[i][j]-other._matridigit[i][j]
                res[i][j]%=Matrix.mod
        return Matrix(res)

    def __mul__(self,other):
        if type(other)!=int:
            if self.column!=other.row:
                raise SizeError("sizes of matrixes are different")

            res=[[0 for j in range(other.column)] for i in range(self.row)]
            for i in range(self.row):
                for j in range(other.column):
                    temp=0
                    for k in range(self.column):
                        temp+=self._matridigit[i][k]*other._matrix[k][j]
                    res[i][j]=temp%Matrix.mod
            return Matrix(res)
        else:
            n=other
            res=[[(n*self._matridigit[i][j])%Matrix.mod for j in range(self.column)] for i in range(self.row)]
            return Matrix(res)

    def __pow__(self,m):
        if self.column!=self.row:
            raise MatrixPowError("the size of row must be the same as that of column")

        n=self.row
        res=Matrix([[int(i==j) for i in range(n)] for j in range(n)])
        while m:
            if m%2==1:
                res=res*self
            self=self*self
            m//=2
        return res

    def __str__(self):
        res=[]
        for i in range(self.row):
            for j in range(self.column):
                res.append(str(self._matridigit[i][j]))
                res.append(" ")
            res.append("\n")
        res=res[:len(res)-1]
        return "".join(res)

from collections import deque
class Dinic:
    def __init__(self, N):
        self.N = N
        self.G = [[] for i in range(N)]

    def add_edge(self, fr, to, cap):
        forward = [to, cap, None]
        forward[2] = backward = [fr, 0, forward]
        self.G[fr].append(forward)
        self.G[to].append(backward)

    def add_multi_edge(self, v1, v2, cap1, cap2):
        edge1 = [v2, cap1, None]
        edge1[2] = edge2 = [v1, cap2, edge1]
        self.G[v1].append(edge1)
        self.G[v2].append(edge2)

    def bfs(self, s, t):
        self.level = level = [None]*self.N
        deq = deque([s])
        level[s] = 0
        G = self.G
        while deq:
            v = deq.popleft()
            lv = level[v] + 1
            for w, cap, _ in G[v]:
                if cap and level[w] is None:
                    level[w] = lv
                    deq.append(w)
        return level[t] is not None

    def dfs(self, v, t, f):
        if v == t:
            return f
        level = self.level
        for e in self.it[v]:
            w, cap, rev = e
            if cap and level[v] < level[w]:
                d = self.dfs(w, t, min(f, cap))
                if d:
                    e[1] -= d
                    rev[1] += d
                    return d
        return 0

    def flow(self, s, t):
        flow = 0
        INF = 10**9 + 7
        G = self.G
        while self.bfs(s, t):
            *self.it, = map(iter, self.G)
            f = INF
            while f:
                f = self.dfs(s, t, INF)
                flow += f
        return flow

class SegmentTree:
    def __init__(self, init_val, segfunc, ide_ele):
        n = len(init_val)
        self.segfunc = segfunc
        self.ide_ele = ide_ele
        self.num = 1 << (n - 1).bit_length()
        self.tree = [ide_ele] * 2 * self.num
        self.size = n
        for i in range(n):
            self.tree[self.num + i] = init_val[i]
        for i in range(self.num - 1, 0, -1):
            self.tree[i] = self.segfunc(self.tree[2 * i], self.tree[2 * i + 1])

    def update(self, k, x):
        k += self.num
        self.tree[k] = x
        while k > 1:
            k >>= 1
            self.tree[k] = self.segfunc(self.tree[2*k],self.tree[2*k+1])

    def query(self, l, r):
        if r==self.size:
            r = self.num

        res = self.ide_ele

        l += self.num
        r += self.num
        right = []
        while l < r:
            if l & 1:
                res = self.segfunc(res, self.tree[l])
                l += 1
            if r & 1:
                right.append(self.tree[r-1])
            l >>= 1
            r >>= 1

        for y in right[::-1]:
            res = self.segfunc(res,y)
        return res

class DualSegmentTree:
    def __init__(self, n, segfunc, ide_ele):
        self.segfunc = segfunc
        self.ide_ele = ide_ele
        self.num = 1 << (n - 1).bit_length()
        self.tree = [ide_ele] * 2 * self.num

    def update(self,l,r,x):
        l += self.num
        r += self.num
        while l < r:
            if l & 1:
                self.tree[l] = self.segfunc(self.tree[l],x)
                l += 1
            if r & 1:
                self.tree[r-1] = self.segfunc(self.tree[r-1],x)
            l >>= 1
            r >>= 1

    def __getitem__(self,idx):
        idx += self.num
        res = self.ide_ele
        while idx:
            res = self.segfunc(res,self.tree[idx])
            idx>>=1
        return res

import sys,random,bisect
from collections import deque,defaultdict
from heapq import heapify,heappop,heappush
from itertools import permutations
from math import gcd,log

input = lambda :sys.stdin.readline().rstrip()
mi = lambda :map(int,input().split())
li = lambda :list(mi())

mod = 10**9 + 7

N,M = mi()
uf = UnionFindVerSize(N)
E = []
edge = [[] for v in range(N)]
gomi = []
cost = 2
for i in range(M):
    u,v = mi()
    u,v = u-1,v-1
    E.append((u,v,i,cost))
    if not uf.is_same_group(u,v):
        uf.unite(u,v)
        edge[u].append((v,i,cost))
        edge[v].append((u,i,cost))
    else:
        gomi.append((u,v,i,cost))
    cost = 2 * cost % mod
print(gomi)
parent = [0 for v in range(N)]
depth = [0 for v in range(N)]
rank = [0 for v in range(N)]
v_to_e = [-1 for i in range(N)]
deq = deque([0])
topo = []
while deq:
    v = deq.popleft()
    topo.append(v)
    for nv,idx,c in edge[v]:
        if nv==parent[v]:
            continue
        parent[nv] = v
        depth[nv] = (depth[v] + c) % mod
        rank[nv] = rank[v] + 1
        v_to_e[nv] = idx
        deq.append(nv)

LV = (N-1).bit_length()
def construct(prv):
    kprv = [prv]
    S = prv
    for k in range(LV):
        T = [0]*N
        for i in range(N):
            if S[i] is None:
                continue
            T[i] = S[S[i]]
        kprv.append(T)
        S = T
    return kprv

kprv=construct(parent)

def lca(u, v):
    dd = rank[v] - rank[u]
    if dd < 0:
        u, v = v, u
        dd = -dd

    # assert depth[u] <= depth[v]
    for k in range(LV+1):
        if dd & 1:
            v = kprv[k][v]
        dd >>= 1

    # assert depth[u] == depth[v]
    if u == v:
        return u

    for k in range(LV-1, -1, -1):
        pu = kprv[k][u]; pv = kprv[k][v]
        if pu != pv:
            u = pu; v = pv

    # assert kprv[0][u] == kprv[0][v]
    return kprv[0][u]

def dist(x,y):
    p = lca(x,y)
    return (depth[x] + depth[y] - 2 * depth[p]) % mod

query = []
Q = int(input())
for _ in range(Q):
    x,y,z = mi()
    query.append((x-1,y-1,z-1))

check_time = [[] for v in range(N)]
for i in range(Q):
    x,y,z = query[i]
    p = lca(x,y)
    check_time[x].append((i,p,z))
    check_time[y].append((i,p,z))

#print(check_time)
z_on_path = [-1 for i in range(Q)]
cnt = [0 for v in range(N)]
stack = [0]
edge_on_path = []
appear = [-1 for i in range(M)]
while stack:
    v = stack[-1]
    if cnt[v]==len(edge[v]):
        stack.pop()
        if v!=0:
            appear[edge_on_path.pop()] = -1
    else:
        nv,idx,c = edge[v][cnt[v]]
        cnt[v] += 1
        if nv==parent[v]:
            continue

        stack.append(nv)
        appear[idx] = len(edge_on_path)
        edge_on_path.append(idx)
        for i,p,z in check_time[nv]:
            if appear[z]==-1:
                continue
            #print(edge_on_path)
            #print(nv,i,p,z,rank[p],appear[z])
            if rank[p] <= appear[z]:
                z_on_path[i] = nv

#print(z_on_path)

out_time = [-1 for v in range(M)]
alt = [[] for v in range(N)]
for u,v,idx,c in gomi:
    p = lca(u,v)
    out_time[idx] = p
    heappush(alt[u],idx)
    heappush(alt[v],idx)

alt_edge = [-1 for v in range(M)]
for v in topo[::-1]:
    for nv,idx,c in edge[v]:
        if nv==parent[v]:
            continue

        if len(alt[nv]) < len(alt[v]):
            alt[nv],alt[v] = alt[v],alt[nv]
        for val in alt[nv]:
            heappush(alt[v],val)
        alt[nv] = []

    while alt[v]:
        idx = alt[v][0]
        p = out_time[idx]
        if rank[v] <= rank[p]:
            heappop(alt[v])
        else:
            break

    if alt[v]:
        e = v_to_e[v]
        alt_edge[e] = alt[v][0]

for i in range(Q):
    x,y,z = query[i]
    p = lca(x,y)
    if z_on_path[i]!=-1:
        if alt_edge[z]==-1:
            print(-1)
        else:
            u,v,idx,cost = E[alt_edge[z]]

            if z_on_path[i]==y:
                x,y = y,x

            check = lca(x,u)
            if check==x or lca(check,p)!=p:
                res = dist(u,x) + dist(v,y) + cost
            else:
                res = dist(v,x) + dist(u,y) + cost
            res %= mod
            print(res)
    else:
        res = dist(x,y)
        print(res)