#pragma GCC optimize("O3")
#include <iostream>
#include <vector>
#include <cmath>
#include <string>
#include <algorithm>
#include <chrono>
#include <random>

using namespace std;

int N, M, K;
double R;
vector<int> X, Y, W;
double req_time[50][50];
long long pair_weight[50][50];
bool valid_pair[50][50];

struct Flight {
    int u, v, dep, arr;
    bool operator<(const Flight& o) const {
        return dep > o.dep; // 出発時刻の降順 (逆順DP用)
    }
};

vector<Flight> sq_flights;
int sq_latest[50][50][21];
int ci_latest[50][50][21];
vector<int> city_candidates;

// 高速化用のマッピング配列
vector<int> active_t_list[50];
int map_t[50][21];

mt19937 rnd(42);

// 時刻文字列をスロット（5分単位）に変換
int time_to_slot(const string& t) {
    int h = stoi(t.substr(0, 2));
    int m = stoi(t.substr(3, 2));
    return (h - 6) * 12 + m / 5;
}

// スロットを時刻文字列に変換
string slot_to_time(int slot) {
    int h = 6 + slot / 12;
    int m = (slot % 12) * 5;
    char buf[10];
    snprintf(buf, sizeof(buf), "%02d:%02d", h, m);
    return string(buf);
}

// ★ 追加: 現在の都市 u から近い都市を優先して選ぶ（トーナメント選択）
int get_rand_city_near(int u) {
    // 基準都市がない場合は完全にランダム
    if (u == -1) return city_candidates[rnd() % city_candidates.size()];
    
    int best_c = -1;
    double best_req = 1e9;
    // 5つの候補をランダムに出し、最も所要時間が短いものを採用する
    for(int i = 0; i < 5; ++i) {
        int c = city_candidates[rnd() % city_candidates.size()];
        if (c == u) continue;
        if (req_time[u][c] < best_req) {
            best_req = req_time[u][c];
            best_c = c;
        }
    }
    if (best_c == -1) return city_candidates[rnd() % city_candidates.size()];
    return best_c;
}

// スクエア航空向けの事前計算用DP
void calc_sq_latest(const vector<Flight>& flights, int latest[50][50][21]) {
    for (int j = 0; j < N; ++j) {
        for (int t_idx = 0; t_idx < 21; ++t_idx) {
            for (int u = 0; u < N; ++u) {
                latest[u][j][t_idx] = -1;
            }
            latest[j][j][t_idx] = 60 + t_idx * 6; 
        }
    }
    for (const auto& f : flights) {
        for (int j = 0; j < N; ++j) {
            for (int t_idx = 0; t_idx < 21; ++t_idx) {
                if (latest[f.v][j][t_idx] >= f.arr) {
                    if (f.dep > latest[f.u][j][t_idx]) {
                        latest[f.u][j][t_idx] = f.dep;
                    }
                }
            }
        }
    }
}

// シーケンスを時間内（180スロット）に収まるよう調整
void adjust_seq(vector<int>& seq) {
    if (seq.empty()) seq.push_back(get_rand_city_near(-1));
    int cur_time = 0;
    vector<int> nseq;
    nseq.push_back(seq[0]);
    for (int i = 1; i < seq.size(); ++i) {
        if (nseq.back() == seq[i]) continue;
        int req = req_time[nseq.back()][seq[i]];
        if (cur_time + req <= 180) {
            cur_time += req;
            nseq.push_back(seq[i]);
        } else {
            break;
        }
    }
    while (true) {
        int u = nseq.back();
        int v = get_rand_city_near(u); // ★ ランダムから近距離優先に変更
        while (u == v) v = get_rand_city_near(u);
        int req = req_time[u][v];
        if (cur_time + req <= 180) {
            cur_time += req;
            nseq.push_back(v);
        } else {
            break;
        }
    }
    seq = nseq;
}

// 1機分のシーケンスからフライト一覧を生成
vector<Flight> get_flights_for_plane(const vector<int>& seq) {
    vector<Flight> res;
    int cur_time = 0;
    for (int i = 0; i + 1 < seq.size(); ++i) {
        int u = seq[i];
        int v = seq[i + 1];
        int req = req_time[u][v];
        res.push_back({u, v, cur_time, cur_time + req});
        cur_time += req;
    }
    return res;
}

// スコア評価関数
long long eval(vector<Flight> ci_flights) {
    sort(ci_flights.begin(), ci_flights.end());
    
    for (int j = 0; j < N; ++j) {
        bool active[21] = {false};
        for (const auto& f : ci_flights) {
            if (f.v == j) {
                int t = (f.arr <= 60) ? 0 : (f.arr - 60 + 5) / 6;
                if (t >= 0 && t < 21) active[t] = true;
            }
        }
        active_t_list[j].clear();
        int last_active = -1;
        for (int t = 0; t < 21; ++t) {
            if (active[t]) {
                active_t_list[j].push_back(t);
                last_active = t;
            }
            map_t[j][t] = last_active;
        }
    }

    for (int j = 0; j < N; ++j) {
        for (int t_idx : active_t_list[j]) {
            for (int u = 0; u < N; ++u) {
                ci_latest[u][j][t_idx] = -1;
            }
            ci_latest[j][j][t_idx] = 60 + t_idx * 6;
        }
    }

    for (const auto& f : ci_flights) {
        for (int j = 0; j < N; ++j) {
            for (int t_idx : active_t_list[j]) {
                if (ci_latest[f.v][j][t_idx] >= f.arr) {
                    if (f.dep > ci_latest[f.u][j][t_idx]) {
                        ci_latest[f.u][j][t_idx] = f.dep;
                    }
                }
            }
        }
    }

    long long v_ci = 0;
    for (int i = 0; i < N; ++i) {
        for (int j = 0; j < N; ++j) {
            if (!valid_pair[i][j]) continue;
            long long weight = pair_weight[i][j];
            for (int t = 0; t < 21; ++t) {
                int eff_t = map_t[j][t];
                int ci_val = (eff_t == -1) ? -1 : ci_latest[i][j][eff_t];
                if (ci_val > sq_latest[i][j][t]) {
                    v_ci += weight;
                }
            }
        }
    }
    return v_ci;
}

int main() {
    ios_base::sync_with_stdio(false);
    cin.tie(NULL);

    auto start_time = chrono::high_resolution_clock::now();

    if (!(cin >> N >> R)) return 0;
    X.resize(N); Y.resize(N); W.resize(N);
    for (int i = 0; i < N; ++i) {
        cin >> X[i] >> Y[i] >> W[i];
        int cnt = W[i] / 100000;
        if (cnt <= 0) cnt = 1;
        for (int c = 0; c < cnt; ++c) city_candidates.push_back(i);
    }

    for (int i = 0; i < N; ++i) {
        for (int j = 0; j < N; ++j) {
            double d = hypot(X[i] - X[j], Y[i] - Y[j]);
            double exact_time = d / 800.0 * 60.0 + 40.0;
            req_time[i][j] = ceil(exact_time / 5.0);
            
            valid_pair[i][j] = (d >= 0.25 * R && i != j);
            pair_weight[i][j] = (long long)W[i] * W[j];
        }
    }

    cin >> M;
    for (int i = 0; i < M; ++i) {
        int u, v; string s, t;
        cin >> u >> s >> v >> t;
        --u; --v;
        sq_flights.push_back({u, v, time_to_slot(s), time_to_slot(t)});
    }
    sort(sq_flights.begin(), sq_flights.end());
    calc_sq_latest(sq_flights, sq_latest);

    cin >> K;

    vector<vector<int>> best_seqs;
    vector<Flight> fixed_flights;

    double total_limit = 0.95; // 全体の制限時間 (秒)

    for (int k = 0; k < K; ++k) {
        vector<int> cur_seq;
        adjust_seq(cur_seq); 
        
        vector<Flight> cur_flights = get_flights_for_plane(cur_seq);
        vector<Flight> test_flights = fixed_flights;
        test_flights.insert(test_flights.end(), cur_flights.begin(), cur_flights.end());
        
        long long cur_score = eval(test_flights);
        long long best_k_score = cur_score;
        vector<int> best_k_seq = cur_seq;

        double T0 = 1e12; 
        double T1 = 1e9;
        int iter = 0;
        
        double end_time_for_k = total_limit * (k + 1) / K;
        double start_time_for_k = total_limit * k / K;
        double time_allocated = end_time_for_k - start_time_for_k;

        while (true) {
            if ((iter & 15) == 0) {
                double elapsed = chrono::duration<double>(chrono::high_resolution_clock::now() - start_time).count();
                if (elapsed > end_time_for_k) break;
                
                double progress = max(0.0, min(1.0, (elapsed - start_time_for_k) / time_allocated));
                double temp = T0 * pow(T1 / T0, progress);
                
                int type = rnd() % 3;
                vector<int> old_seq = cur_seq;
                
                // ★ 変更: 近傍操作時も近い都市を優先的に選出する
                if (type == 0 && cur_seq.size() > 1) { 
                    int idx = 1 + rnd() % (cur_seq.size() - 1);
                    cur_seq[idx] = get_rand_city_near(cur_seq[idx - 1]);
                } else if (type == 1) { 
                    int idx = rnd() % (cur_seq.size() + 1);
                    int prev_city = (idx == 0) ? -1 : cur_seq[idx - 1];
                    cur_seq.insert(cur_seq.begin() + idx, get_rand_city_near(prev_city));
                } else if (type == 2 && cur_seq.size() > 2) { 
                    int idx = rnd() % cur_seq.size();
                    cur_seq.erase(cur_seq.begin() + idx);
                }
                
                adjust_seq(cur_seq);
                
                vector<Flight> new_flights = get_flights_for_plane(cur_seq);
                vector<Flight> eval_flights = fixed_flights;
                eval_flights.insert(eval_flights.end(), new_flights.begin(), new_flights.end());
                
                long long new_score = eval(eval_flights);
                
                // ★ 追加: 長距離フライト（24スロット = 120分 = 2時間以上）が含まれているかチェック
                bool has_long_flight = false;
                for (int i = 0; i + 1 < cur_seq.size(); ++i) {
                    if (req_time[cur_seq[i]][cur_seq[i+1]] > 24) {
                        has_long_flight = true;
                        break;
                    }
                }
                
                // ★ 追加: 長距離便がある場合の採用確率のペナルティ処理
                double prob = 0.0;
                if (new_score >= cur_score) {
                    // スコアが改善しても、長距離が含まれる場合は 30% の確率でしか通さない
                    prob = has_long_flight ? 0.3 : 1.0; 
                } else {
                    prob = exp((new_score - cur_score) / temp);
                    // 悪化遷移で、さらに長距離が含まれる場合は確率を 1/20 にする
                    if (has_long_flight) prob *= 0.05; 
                }
                
                if (prob > (double)(rnd() % 10000) / 10000.0) {
                    cur_score = new_score;
                    if (cur_score > best_k_score) {
                        best_k_score = cur_score;
                        best_k_seq = cur_seq;
                    }
                } else {
                    cur_seq = old_seq; 
                }
            }
            iter++;
        }
        
        best_seqs.push_back(best_k_seq);
        vector<Flight> final_k_flights = get_flights_for_plane(best_k_seq);
        fixed_flights.insert(fixed_flights.end(), final_k_flights.begin(), final_k_flights.end());
    }

    for (int k = 0; k < K; ++k) {
        vector<Flight> f_list = get_flights_for_plane(best_seqs[k]);
        cout << f_list.size() << "\n";
        for (const auto& f : f_list) {
            cout << f.u + 1 << " " << slot_to_time(f.dep) << " " 
                 << f.v + 1 << " " << slot_to_time(f.arr) << "\n";
        }
    }

    return 0;
}