import collections class LCA: def __init__(self, n, adj, us): K = 1 while (1 << K) < n: K += 1 self.parent = [[-1] * n for _ in range(K)] self.dist = [-1] * n self.cost = [-1] * n self._dfs2(node=0, par=-1, d=0, adj=adj, us=us) for k in range(K-1): for v in range(n): if self.parent[k][v] < 0: self.parent[k+1][v] = -1 else: self.parent[k+1][v] = self.parent[k][self.parent[k][v]] def _dfs2(self, node, par, d, adj, us): s = [(node, par, d, us[node])] while s: node, par, d, c = s.pop() self.parent[0][node] = par self.dist[node] = d self.cost[node] = c for nd in adj[node]: if nd == par: continue s.append((nd, node, d + 1, c + us[nd])) def query(self, u: int, v: int) -> int: if self.dist[u] < self.dist[v]: u, v = v, u K = len(self.parent) # LCA までの距離を同じにする for k in range(K): if (self.dist[u] - self.dist[v]) >> k & 1: u = self.parent[k][u] # 二分探索で LCA を求める if u == v: return u for k in range(K-1, -1, -1): if self.parent[k][u] != self.parent[k][v]: u = self.parent[k][u] v = self.parent[k][v] return self.parent[0][u] def distance(self, u: int, v: int) -> int: return self.dist[u] + self.dist[v] - 2 * self.dist[self.query(u, v)] def get_cost(self, u: int, v: int) -> int: return self.cost[u] + self.cost[v] - 2 * self.cost[self.query(u, v)] def is_on_path(self, u, v, a) -> bool: return self.distance(u, a) + self.distance(a, v) == self.distance(u, v) import sys input = sys.stdin.readline N = int(input()) adj = collections.defaultdict(list) for i in range(N-1): a, b = map(int, input().split()) adj[a].append(b) adj[b].append(a) us = [] for i in range(N): us.append(int(input())) Q = int(input()) lca = LCA(N, adj, us) ans = 0 for _ in range(Q): a, b, c = map(int, input().split()) lca_node = lca.query(a, b) cost = lca.cost[a] + lca.cost[b] - 2 * lca.cost[lca_node] + us[lca_node] ans += cost * c print(ans)