TSTP Solution File: CSR114+11 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : CSR114+11 : TPTP v8.1.2. Released v4.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n005.cluster.edu
% Model : x86_64 x86_64
% CPU : Intel(R) Xeon(R) CPU E5-2620 v4 2.10GHz
% Memory : 8042.1875MB
% OS : Linux 3.10.0-693.el7.x86_64
% CPULimit : 300s
% WCLimit : 300s
% DateTime : Wed Aug 30 21:24:14 EDT 2023
% Result : Theorem 0.21s 0.72s
% Output : CNFRefutation 0.21s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.13 % Problem : CSR114+11 : TPTP v8.1.2. Released v4.0.0.
% 0.00/0.13 % Command : gkc %s
% 0.14/0.35 % Computer : n005.cluster.edu
% 0.14/0.35 % Model : x86_64 x86_64
% 0.14/0.35 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.14/0.35 % Memory : 8042.1875MB
% 0.14/0.35 % OS : Linux 3.10.0-693.el7.x86_64
% 0.14/0.35 % CPULimit : 300
% 0.14/0.35 % WCLimit : 300
% 0.14/0.35 % DateTime : Mon Aug 28 10:51:53 EDT 2023
% 0.14/0.35 % CPUTime :
% 0.21/0.47
% 0.21/0.47 input clause set summed statistics:
% 0.21/0.47 ----------------------------------
% 0.21/0.47 in_clause_count: 10729
% 0.21/0.47 in_rule_clause_count: 336
% 0.21/0.47 in_fact_clause_count: 10393
% 0.21/0.47 in_answer_clause_count: 0
% 0.21/0.47 in_ground_clause_count: 10393
% 0.21/0.47 in_unit_clause_count: 10395
% 0.21/0.47 in_horn_clause_count: 10719
% 0.21/0.47 in_pos_clause_count: 10399
% 0.21/0.47 in_neg_clause_count: 11
% 0.21/0.47 in_poseq_clause_count: 0
% 0.21/0.47 in_negeq_clause_count: 0
% 0.21/0.47 in_unitposeq_clause_count: 0
% 0.21/0.47 in_chain_clause_count: 0
% 0.21/0.47 in_min_length: 1
% 0.21/0.47 in_max_length: 8
% 0.21/0.47 in_min_depth: 1
% 0.21/0.47 in_max_depth: 5
% 0.21/0.47 in_min_size: 3
% 0.21/0.47 in_max_size: 30
% 0.21/0.47 in_min_vars: 0
% 0.21/0.47 in_max_vars: 7
% 0.21/0.47 in_extaxiom_count: 10394
% 0.21/0.47 in_axiom_count: 0
% 0.21/0.47 in_assumption_count: 334
% 0.21/0.47 in_goal_count: 1
% 0.21/0.47 in_neg_goal_count: 1
% 0.21/0.47 in_pos_goal_count: 0
% 0.21/0.47 in_posunit_goal_count: 0
% 0.21/0.47
% 0.21/0.47 auto guide:
% 0.21/0.47 -----------
% 0.21/0.47 {
% 0.21/0.47 "print":1,
% 0.21/0.47 "print_level": 15,
% 0.21/0.47 "max_size": 0,
% 0.21/0.47 "max_depth": 0,
% 0.21/0.47 "max_length": 0,
% 0.21/0.47 "max_dseconds": 0,
% 0.21/0.47 "equality":0,
% 0.21/0.47 "runs":[
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.21/0.47 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.21/0.47 {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.21/0.47 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.21/0.47 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.21/0.47 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.21/0.47 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.21/0.47 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.21/0.47 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.21/0.47 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.21/0.47
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.21/0.47 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.21/0.47 {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.21/0.47 {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.21/0.47 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.21/0.47 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.21/0.47 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.21/0.47 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.21/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.21/0.47 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.21/0.47 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.21/0.47 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.21/0.47
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.21/0.47 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.21/0.47 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.21/0.47 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.21/0.47 {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.21/0.47 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.21/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.21/0.47 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.21/0.47 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.21/0.47 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.21/0.47 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.21/0.47
% 0.21/0.47 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.47 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.47 {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.21/0.47
% 0.21/0.47 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.21/0.47 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.21/0.47 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.21/0.47 {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.21/0.47 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.21/0.47 {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2}
% 0.21/0.47
% 0.21/0.47 ]}
% 0.21/0.47
% 0.21/0.47
% 0.21/0.47 **** run 1 fork 0 starts with strategy
% 0.21/0.47 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.21/0.47
% 0.21/0.47 **** run 2 fork 1 starts with strategy
% 0.21/0.47 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.21/0.47
% 0.21/0.47 **** run 3 fork 2 starts with strategy
% 0.21/0.47 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.21/0.47
% 0.21/0.47 **** run 4 fork 3 starts with strategy
% 0.21/0.47 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.21/0.47
% 0.21/0.47 **** run 5 fork 4 starts with strategy
% 0.21/0.47 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.21/0.47 **** run 8 fork 7 starts with strategy
% 0.21/0.47 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.21/0.47
% 0.21/0.48
% 0.21/0.48 **** run 6 fork 5 starts with strategy
% 0.21/0.48
% 0.21/0.48 **** run 7 fork 6 starts with strategy
% 0.21/0.48 {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.21/0.48 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.21/0.59
% 0.21/0.59 fork 7: search finished without proof.
% 0.21/0.61
% 0.21/0.61 fork 2: search finished without proof.
% 0.21/0.61
% 0.21/0.61 **** run 16 fork 7 starts with strategy
% 0.21/0.61 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1,"var_weight":1,"weight_select_ratio":100,"repeat_var_weight":1}
% 0.21/0.62
% 0.21/0.62 fork 3: search finished without proof.
% 0.21/0.63
% 0.21/0.63 **** run 11 fork 2 starts with strategy
% 0.21/0.63 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0}
% 0.21/0.65
% 0.21/0.65 fork 0: search finished without proof.
% 0.21/0.65
% 0.21/0.65 fork 5: search finished without proof.
% 0.21/0.66
% 0.21/0.66 **** run 12 fork 3 starts with strategy
% 0.21/0.66 {"max_dseconds":1,"strategy":["hardness_pref"],"query_preference":0}
% 0.21/0.68
% 0.21/0.68 fork 1: search finished without proof.
% 0.21/0.70
% 0.21/0.70 **** run 14 fork 5 starts with strategy
% 0.21/0.70 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1}
% 0.21/0.71
% 0.21/0.71 **** run 9 fork 0 starts with strategy
% 0.21/0.71 {"max_dseconds":1,"strategy":["hardness_pref"],"query_preference":0,"sine":5}
% 0.21/0.72
% 0.21/0.72
% 0.21/0.72 result: proof found
% 0.21/0.72 for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.21/0.72 by run 5 fork 4 strategy {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.21/0.72 % SZS status Theorem for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.21/0.72
% 0.21/0.72 % SZS output start CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.21/0.72 fof('$inc_state_adjective__in_state_$sk', plain, ((val($sk16(X1,X2,X3),X3) & (sub($sk16(X1,X2,X3),name_1_1) & (sub($sk15(X1,X2,X3),land_1_1) & (loc(X2,$sk14(X1,X2,X3)) & (attr($sk15(X1,X2,X3),$sk16(X1,X2,X3)) & in($sk14(X1,X2,X3),$sk15(X1,X2,X3))))))) | (~state_adjective_state_binding(X1,X3) | ~prop(X2,X1))),
% 0.21/0.72 inference(negpush_and_skolemize,[],['$inc_state_adjective__in_state'])).
% 0.21/0.72 fof('$inc_state_adjective__in_state', axiom, (! [X0,X1,X2] : ((prop(X0,X1) & state_adjective_state_binding(X1,X2)) => (? [X3,X4,X5] : (((((in(X5,X3) & attr(X3,X4)) & loc(X0,X5)) & sub(X3,land_1_1)) & sub(X4,name_1_1)) & val(X4,X2))))),
% 0.21/0.72 input).
% 0.21/0.72 fof('ave07_era5_synth_qa07_004_mira_news_631_$sk', plain, (gener(organisieren_1_1,ge) & (fact(organisieren_1_1,real) & (sort(organisieren_1_1,da) & (varia(c580,varia_c) & (refer(c580,refer_c) & (quant(c580,quant_c) & (gener(c580,gener_c) & (fact(c580,real) & (etype(c580,etype_c) & (card(c580,card_c) & (sort(c580,ent) & (card(c47,int3) & (sort(c47,nu) & (varia(monat_1_1,varia_c) & (refer(monat_1_1,refer_c) & (quant(monat_1_1,quant_c) & (gener(monat_1_1,ge) & (fact(monat_1_1,real) & (etype(monat_1_1,etype_c) & (card(monat_1_1,card_c) & (sort(monat_1_1,ta) & (sort(monat_1_1,oa) & (sort(monat_1_1,me) & (card(c46,int28) & (sort(c46,nu) & (varia(tag_1_1,varia_c) & (refer(tag_1_1,refer_c) & (quant(tag_1_1,quant_c) & (gener(tag_1_1,ge) & (fact(tag_1_1,real) & (etype(tag_1_1,etype_c) & (card(tag_1_1,card_c) & (sort(tag_1_1,ta) & (sort(tag_1_1,oa) & (sort(tag_1_1,me) & (varia(c50,varia_c) & (refer(c50,refer_c) & (quant(c50,quant_c) & (gener(c50,sp) & (fact(c50,real) & (etype(c50,etype_c) & (card(c50,card_c) & (sort(c50,ta) & (sort(c50,oa) & (sort(c50,me) & (varia(c49,varia_c) & (refer(c49,refer_c) & (quant(c49,quant_c) & (gener(c49,sp) & (fact(c49,real) & (etype(c49,etype_c) & (card(c49,card_c) & (sort(c49,ta) & (sort(c49,oa) & (sort(c49,me) & (varia(kriminalitaet_1_1,varia_c) & (refer(kriminalitaet_1_1,refer_c) & (quant(kriminalitaet_1_1,one) & (gener(kriminalitaet_1_1,ge) & (fact(kriminalitaet_1_1,real) & (etype(kriminalitaet_1_1,int0) & (card(kriminalitaet_1_1,int1) & (sort(kriminalitaet_1_1,na) & (sort(kriminalitaet_1_1,io) & (sort(organisiert_1_1,nq) & (varia(c448,con) & (refer(c448,det) & (quant(c448,one) & (gener(c448,sp) & (fact(c448,real) & (etype(c448,int0) & (card(c448,int1) & (sort(c448,na) & (sort(c448,io) & (varia(schlag_1_1,varia_c) & (refer(schlag_1_1,refer_c) & (quant(schlag_1_1,one) & (gener(schlag_1_1,ge) & (fact(schlag_1_1,real) & (etype(schlag_1_1,int0) & (card(schlag_1_1,int1) & (sort(schlag_1_1,ad) & (sort(weit_1_1,mq) & (varia(c441,varia_c) & (refer(c441,indet) & (quant(c441,one) & (gener(c441,sp) & (fact(c441,real) & (etype(c441,int0) & (card(c441,int1) & (sort(c441,ad) & (varia(montag__1_1,varia_c) & (refer(montag__1_1,refer_c) & (quant(montag__1_1,one) & (gener(montag__1_1,ge) & (fact(montag__1_1,real) & (etype(montag__1_1,int0) & (card(montag__1_1,int1) & (sort(montag__1_1,ta) & (varia(c421,con) & (refer(c421,det) & (quant(c421,one) & (gener(c421,sp) & (fact(c421,real) & (etype(c421,int0) & (card(c421,int1) & (sort(c421,ta) & (varia(polizei__1_1,varia_c) & (refer(polizei__1_1,refer_c) & (quant(polizei__1_1,one) & (gener(polizei__1_1,ge) & (fact(polizei__1_1,real) & (etype(polizei__1_1,int0) & (card(polizei__1_1,int1) & (sort(polizei__1_1,io) & (sort(polizei__1_1,d) & (sort(italienisch__1_1,nq) & (varia(c417,con) & (refer(c417,det) & (quant(c417,one) & (gener(c417,sp) & (fact(c417,real) & (etype(c417,int0) & (card(c417,int1) & (sort(c417,io) & (sort(c417,d) & (varia(gangstersyndikat_1_1,varia_c) & (refer(gangstersyndikat_1_1,refer_c) & (quant(gangstersyndikat_1_1,quant_c) & (gener(gangstersyndikat_1_1,ge) & (fact(gangstersyndikat_1_1,real) & (etype(gangstersyndikat_1_1,int1) & (card(gangstersyndikat_1_1,card_c) & (sort(gangstersyndikat_1_1,io) & (sort(gangstersyndikat_1_1,d) & (varia(c392,con) & (refer(c392,det) & (quant(c392,one) & (gener(c392,sp) & (fact(c392,real) & (etype(c392,int1) & (card(c392,int1) & (sort(c392,io) & (sort(c392,d) & (varia(c388,varia_c) & (refer(c388,det) & (quant(c388,nfquant) & (gener(c388,sp) & (fact(c388,real) & (etype(c388,int1) & (card(c388,int2) & (sort(c388,io) & (sort(c388,d) & (varia(nummer_1_1,varia_c) & (refer(nummer_1_1,refer_c) & (quant(nummer_1_1,one) & (gener(nummer_1_1,ge) & (fact(nummer_1_1,real) & (etype(nummer_1_1,int0) & (card(nummer_1_1,int1) & (sort(nummer_1_1,io) & (sort(nummer_1_1,d) & (varia(c387,varia_c) & (refer(c387,refer_c) & (quant(c387,one) & (gener(c387,gener_c) & (fact(c387,real) & (etype(c387,int0) & (card(c387,int1) & (sort(c387,io) & (sort(c387,d) & (sort(ferrara_0,fe) & (varia(c386,varia_c) & (refer(c386,indet) & (quant(c386,one) & (gener(c386,sp) & (fact(c386,real) & (etype(c386,int0) & (card(c386,int1) & (sort(c386,na) & (varia(c385,con) & (refer(c385,det) & (quant(c385,one) & (gener(c385,sp) & (fact(c385,real) & (etype(c385,int0) & (card(c385,int1) & (sort(c385,io) & (sort(c385,d) & (sort(sebastiano_0,fe) & (varia(eigenname_1_1,varia_c) & (refer(eigenname_1_1,refer_c) & (quant(eigenname_1_1,one) & (gener(eigenname_1_1,ge) & (fact(eigenname_1_1,real) & (etype(eigenname_1_1,int0) & (card(eigenname_1_1,int1) & (sort(eigenname_1_1,na) & (varia(mensch_1_1,varia_c) & (refer(mensch_1_1,refer_c) & (quant(mensch_1_1,one) & (gener(mensch_1_1,ge) & (fact(mensch_1_1,real) & (etype(mensch_1_1,int0) & (card(mensch_1_1,int1) & (sort(mensch_1_1,d) & (varia(c382,varia_c) & (refer(c382,indet) & (quant(c382,one) & (gener(c382,sp) & (fact(c382,real) & (etype(c382,int0) & (card(c382,int1) & (sort(c382,na) & (varia(c381,con) & (refer(c381,det) & (quant(c381,one) & (gener(c381,sp) & (fact(c381,real) & (etype(c381,int0) & (card(c381,int1) & (sort(c381,d) & (varia(arretierung_1_1,varia_c) & (refer(arretierung_1_1,refer_c) & (quant(arretierung_1_1,one) & (gener(arretierung_1_1,ge) & (fact(arretierung_1_1,real) & (etype(arretierung_1_1,int0) & (card(arretierung_1_1,int1) & (sort(arretierung_1_1,ad) & (varia(c374,con) & (refer(c374,det) & (quant(c374,one) & (gener(c374,sp) & (fact(c374,real) & (etype(c374,int0) & (card(c374,int1) & (sort(c374,ad) & (sort(messina_0,fe) & (varia(name_1_1,varia_c) & (refer(name_1_1,refer_c) & (quant(name_1_1,one) & (gener(name_1_1,ge) & (fact(name_1_1,real) & (etype(name_1_1,int0) & (card(name_1_1,int1) & (sort(name_1_1,na) & (varia(stadt__1_1,varia_c) & (refer(stadt__1_1,refer_c) & (quant(stadt__1_1,one) & (gener(stadt__1_1,ge) & (fact(stadt__1_1,real) & (etype(stadt__1_1,int0) & (card(stadt__1_1,int1) & (sort(stadt__1_1,io) & (sort(stadt__1_1,d) & (sort(sizilianisch_1_1,ql) & (varia(c405,varia_c) & (refer(c405,indet) & (quant(c405,one) & (gener(c405,sp) & (fact(c405,real) & (etype(c405,int0) & (card(c405,int1) & (sort(c405,na) & (varia(c37,varia_c) & (refer(c37,indet) & (quant(c37,one) & (gener(c37,sp) & (fact(c37,real) & (etype(c37,int0) & (card(c37,int1) & (sort(c37,na) & (varia(c48,con) & (refer(c48,det) & (quant(c48,one) & (gener(c48,sp) & (fact(c48,real) & (etype(c48,int0) & (card(c48,int1) & (sort(c48,t) & (varia(c36,con) & (refer(c36,det) & (quant(c36,one) & (gener(c36,sp) & (fact(c36,real) & (etype(c36,int0) & (card(c36,int1) & (sort(c36,io) & (sort(c36,d) & (varia(c220,varia_c) & (refer(c220,refer_c) & (quant(c220,quant_c) & (gener(c220,gener_c) & (fact(c220,real) & (etype(c220,etype_c) & (card(c220,card_c) & (sort(c220,ent) & (chsp2(organisieren_1_1,organisiert_1_1) & (tupl_p11(c580,c374,c381,c385,c387,c388,c36,c417,c421,c441,c448) & (val(c50,c47) & (sub(c50,monat_1_1) & (val(c49,c46) & (sub(c49,tag_1_1) & (attr(c48,c50) & (attr(c48,c49) & (sub(c448,kriminalitaet_1_1) & (prop(c448,organisiert_1_1) & (subs(c441,schlag_1_1) & (prop(c441,weit_1_1) & (sub(c421,montag__1_1) & (sub(c417,polizei__1_1) & (prop(c417,italienisch__1_1) & (val(c405,messina_0) & (sub(c405,name_1_1) & (sub(c392,gangstersyndikat_1_1) & (subm(c388,c392) & (sub(c387,nummer_1_1) & (val(c386,ferrara_0) & (sub(c386,name_1_1) & (sub(c385,stadt__1_1) & (attr(c385,c386) & (val(c382,sebastiano_0) & (sub(c382,eigenname_1_1) & (sub(c381,mensch_1_1) & (attr(c381,c382) & (subs(c374,arretierung_1_1) & (val(c37,messina_0) & (sub(c37,name_1_1) & (sub(c36,stadt__1_1) & (prop(c36,sizilianisch_1_1) & (attr(c36,c405) & (attr(c36,c37) & tupl(c220,c36,c48)))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.21/0.72 inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_004_mira_news_631'])).
% 0.21/0.72 fof('ave07_era5_synth_qa07_004_mira_news_631', hypothesis, (((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((tupl(c220,c36,c48) & attr(c36,c37)) & attr(c36,c405)) & prop(c36,sizilianisch_1_1)) & sub(c36,stadt__1_1)) & sub(c37,name_1_1)) & val(c37,messina_0)) & subs(c374,arretierung_1_1)) & attr(c381,c382)) & sub(c381,mensch_1_1)) & sub(c382,eigenname_1_1)) & val(c382,sebastiano_0)) & attr(c385,c386)) & sub(c385,stadt__1_1)) & sub(c386,name_1_1)) & val(c386,ferrara_0)) & sub(c387,nummer_1_1)) & subm(c388,c392)) & sub(c392,gangstersyndikat_1_1)) & sub(c405,name_1_1)) & val(c405,messina_0)) & prop(c417,italienisch__1_1)) & sub(c417,polizei__1_1)) & sub(c421,montag__1_1)) & prop(c441,weit_1_1)) & subs(c441,schlag_1_1)) & prop(c448,organisiert_1_1)) & sub(c448,kriminalitaet_1_1)) & attr(c48,c49)) & attr(c48,c50)) & sub(c49,tag_1_1)) & val(c49,c46)) & sub(c50,monat_1_1)) & val(c50,c47)) & tupl_p11(c580,c374,c381,c385,c387,c388,c36,c417,c421,c441,c448)) & chsp2(organisieren_1_1,organisiert_1_1)) & sort(c220,ent)) & card(c220,card_c)) & etype(c220,etype_c)) & fact(c220,real)) & gener(c220,gener_c)) & quant(c220,quant_c)) & refer(c220,refer_c)) & varia(c220,varia_c)) & sort(c36,d)) & sort(c36,io)) & card(c36,int1)) & etype(c36,int0)) & fact(c36,real)) & gener(c36,sp)) & quant(c36,one)) & refer(c36,det)) & varia(c36,con)) & sort(c48,t)) & card(c48,int1)) & etype(c48,int0)) & fact(c48,real)) & gener(c48,sp)) & quant(c48,one)) & refer(c48,det)) & varia(c48,con)) & sort(c37,na)) & card(c37,int1)) & etype(c37,int0)) & fact(c37,real)) & gener(c37,sp)) & quant(c37,one)) & refer(c37,indet)) & varia(c37,varia_c)) & sort(c405,na)) & card(c405,int1)) & etype(c405,int0)) & fact(c405,real)) & gener(c405,sp)) & quant(c405,one)) & refer(c405,indet)) & varia(c405,varia_c)) & sort(sizilianisch_1_1,ql)) & sort(stadt__1_1,d)) & sort(stadt__1_1,io)) & card(stadt__1_1,int1)) & etype(stadt__1_1,int0)) & fact(stadt__1_1,real)) & gener(stadt__1_1,ge)) & quant(stadt__1_1,one)) & refer(stadt__1_1,refer_c)) & varia(stadt__1_1,varia_c)) & sort(name_1_1,na)) & card(name_1_1,int1)) & etype(name_1_1,int0)) & fact(name_1_1,real)) & gener(name_1_1,ge)) & quant(name_1_1,one)) & refer(name_1_1,refer_c)) & varia(name_1_1,varia_c)) & sort(messina_0,fe)) & sort(c374,ad)) & card(c374,int1)) & etype(c374,int0)) & fact(c374,real)) & gener(c374,sp)) & quant(c374,one)) & refer(c374,det)) & varia(c374,con)) & sort(arretierung_1_1,ad)) & card(arretierung_1_1,int1)) & etype(arretierung_1_1,int0)) & fact(arretierung_1_1,real)) & gener(arretierung_1_1,ge)) & quant(arretierung_1_1,one)) & refer(arretierung_1_1,refer_c)) & varia(arretierung_1_1,varia_c)) & sort(c381,d)) & card(c381,int1)) & etype(c381,int0)) & fact(c381,real)) & gener(c381,sp)) & quant(c381,one)) & refer(c381,det)) & varia(c381,con)) & sort(c382,na)) & card(c382,int1)) & etype(c382,int0)) & fact(c382,real)) & gener(c382,sp)) & quant(c382,one)) & refer(c382,indet)) & varia(c382,varia_c)) & sort(mensch_1_1,d)) & card(mensch_1_1,int1)) & etype(mensch_1_1,int0)) & fact(mensch_1_1,real)) & gener(mensch_1_1,ge)) & quant(mensch_1_1,one)) & refer(mensch_1_1,refer_c)) & varia(mensch_1_1,varia_c)) & sort(eigenname_1_1,na)) & card(eigenname_1_1,int1)) & etype(eigenname_1_1,int0)) & fact(eigenname_1_1,real)) & gener(eigenname_1_1,ge)) & quant(eigenname_1_1,one)) & refer(eigenname_1_1,refer_c)) & varia(eigenname_1_1,varia_c)) & sort(sebastiano_0,fe)) & sort(c385,d)) & sort(c385,io)) & card(c385,int1)) & etype(c385,int0)) & fact(c385,real)) & gener(c385,sp)) & quant(c385,one)) & refer(c385,det)) & varia(c385,con)) & sort(c386,na)) & card(c386,int1)) & etype(c386,int0)) & fact(c386,real)) & gener(c386,sp)) & quant(c386,one)) & refer(c386,indet)) & varia(c386,varia_c)) & sort(ferrara_0,fe)) & sort(c387,d)) & sort(c387,io)) & card(c387,int1)) & etype(c387,int0)) & fact(c387,real)) & gener(c387,gener_c)) & quant(c387,one)) & refer(c387,refer_c)) & varia(c387,varia_c)) & sort(nummer_1_1,d)) & sort(nummer_1_1,io)) & card(nummer_1_1,int1)) & etype(nummer_1_1,int0)) & fact(nummer_1_1,real)) & gener(nummer_1_1,ge)) & quant(nummer_1_1,one)) & refer(nummer_1_1,refer_c)) & varia(nummer_1_1,varia_c)) & sort(c388,d)) & sort(c388,io)) & card(c388,int2)) & etype(c388,int1)) & fact(c388,real)) & gener(c388,sp)) & quant(c388,nfquant)) & refer(c388,det)) & varia(c388,varia_c)) & sort(c392,d)) & sort(c392,io)) & card(c392,int1)) & etype(c392,int1)) & fact(c392,real)) & gener(c392,sp)) & quant(c392,one)) & refer(c392,det)) & varia(c392,con)) & sort(gangstersyndikat_1_1,d)) & sort(gangstersyndikat_1_1,io)) & card(gangstersyndikat_1_1,card_c)) & etype(gangstersyndikat_1_1,int1)) & fact(gangstersyndikat_1_1,real)) & gener(gangstersyndikat_1_1,ge)) & quant(gangstersyndikat_1_1,quant_c)) & refer(gangstersyndikat_1_1,refer_c)) & varia(gangstersyndikat_1_1,varia_c)) & sort(c417,d)) & sort(c417,io)) & card(c417,int1)) & etype(c417,int0)) & fact(c417,real)) & gener(c417,sp)) & quant(c417,one)) & refer(c417,det)) & varia(c417,con)) & sort(italienisch__1_1,nq)) & sort(polizei__1_1,d)) & sort(polizei__1_1,io)) & card(polizei__1_1,int1)) & etype(polizei__1_1,int0)) & fact(polizei__1_1,real)) & gener(polizei__1_1,ge)) & quant(polizei__1_1,one)) & refer(polizei__1_1,refer_c)) & varia(polizei__1_1,varia_c)) & sort(c421,ta)) & card(c421,int1)) & etype(c421,int0)) & fact(c421,real)) & gener(c421,sp)) & quant(c421,one)) & refer(c421,det)) & varia(c421,con)) & sort(montag__1_1,ta)) & card(montag__1_1,int1)) & etype(montag__1_1,int0)) & fact(montag__1_1,real)) & gener(montag__1_1,ge)) & quant(montag__1_1,one)) & refer(montag__1_1,refer_c)) & varia(montag__1_1,varia_c)) & sort(c441,ad)) & card(c441,int1)) & etype(c441,int0)) & fact(c441,real)) & gener(c441,sp)) & quant(c441,one)) & refer(c441,indet)) & varia(c441,varia_c)) & sort(weit_1_1,mq)) & sort(schlag_1_1,ad)) & card(schlag_1_1,int1)) & etype(schlag_1_1,int0)) & fact(schlag_1_1,real)) & gener(schlag_1_1,ge)) & quant(schlag_1_1,one)) & refer(schlag_1_1,refer_c)) & varia(schlag_1_1,varia_c)) & sort(c448,io)) & sort(c448,na)) & card(c448,int1)) & etype(c448,int0)) & fact(c448,real)) & gener(c448,sp)) & quant(c448,one)) & refer(c448,det)) & varia(c448,con)) & sort(organisiert_1_1,nq)) & sort(kriminalitaet_1_1,io)) & sort(kriminalitaet_1_1,na)) & card(kriminalitaet_1_1,int1)) & etype(kriminalitaet_1_1,int0)) & fact(kriminalitaet_1_1,real)) & gener(kriminalitaet_1_1,ge)) & quant(kriminalitaet_1_1,one)) & refer(kriminalitaet_1_1,refer_c)) & varia(kriminalitaet_1_1,varia_c)) & sort(c49,me)) & sort(c49,oa)) & sort(c49,ta)) & card(c49,card_c)) & etype(c49,etype_c)) & fact(c49,real)) & gener(c49,sp)) & quant(c49,quant_c)) & refer(c49,refer_c)) & varia(c49,varia_c)) & sort(c50,me)) & sort(c50,oa)) & sort(c50,ta)) & card(c50,card_c)) & etype(c50,etype_c)) & fact(c50,real)) & gener(c50,sp)) & quant(c50,quant_c)) & refer(c50,refer_c)) & varia(c50,varia_c)) & sort(tag_1_1,me)) & sort(tag_1_1,oa)) & sort(tag_1_1,ta)) & card(tag_1_1,card_c)) & etype(tag_1_1,etype_c)) & fact(tag_1_1,real)) & gener(tag_1_1,ge)) & quant(tag_1_1,quant_c)) & refer(tag_1_1,refer_c)) & varia(tag_1_1,varia_c)) & sort(c46,nu)) & card(c46,int28)) & sort(monat_1_1,me)) & sort(monat_1_1,oa)) & sort(monat_1_1,ta)) & card(monat_1_1,card_c)) & etype(monat_1_1,etype_c)) & fact(monat_1_1,real)) & gener(monat_1_1,ge)) & quant(monat_1_1,quant_c)) & refer(monat_1_1,refer_c)) & varia(monat_1_1,varia_c)) & sort(c47,nu)) & card(c47,int3)) & sort(c580,ent)) & card(c580,card_c)) & etype(c580,etype_c)) & fact(c580,real)) & gener(c580,gener_c)) & quant(c580,quant_c)) & refer(c580,refer_c)) & varia(c580,varia_c)) & sort(organisieren_1_1,da)) & fact(organisieren_1_1,real)) & gener(organisieren_1_1,ge)),
% 0.21/0.72 input).
% 0.21/0.72 fof('$inc_fact_8886', axiom, state_adjective_state_binding(italienisch__1_1,italien_0),
% 0.21/0.72 input).
% 0.21/0.72 fof('$inc_loc__stehen_1_1_loc_$sk', plain, ((subs($sk1(X1,X2),stehen_1_1) & (scar($sk1(X1,X2),X2) & loc($sk1(X1,X2),X1))) | ~loc(X2,X1)),
% 0.21/0.72 inference(negpush_and_skolemize,[],['$inc_loc__stehen_1_1_loc'])).
% 0.21/0.72 fof('$inc_loc__stehen_1_1_loc', axiom, (! [X0,X1] : (loc(X0,X1) => (? [X2] : ((loc(X2,X1) & scar(X2,X0)) & subs(X2,stehen_1_1))))),
% 0.21/0.72 input).
% 0.21/0.72 fof('synth_qa07_004_mira_news_631_$sk', plain, (~subs(X5,stehen_1_1) | (~sub(X1,name_1_1) | (~scar(X5,X4) | (~loc(X5,X2) | (~attr(X3,X1) | ~in(X2,X3)))))),
% 0.21/0.72 inference(negpush_and_skolemize,[],['synth_qa07_004_mira_news_631'])).
% 0.21/0.72 fof('synth_qa07_004_mira_news_631', conjecture, (? [X0,X1,X2,X3,X4] : (((((in(X2,X0) & attr(X0,X1)) & loc(X4,X2)) & scar(X4,X3)) & sub(X1,name_1_1)) & subs(X4,stehen_1_1))),
% 0.21/0.72 input).
% 0.21/0.72 cnf('1', plain, (loc(X,$sk14(Y,X,Z)) | ~state_adjective_state_binding(Y,Z) | ~prop(X,Y)),
% 0.21/0.72 inference(cnf_transformation,[],['$inc_state_adjective__in_state_$sk'])).
% 0.21/0.72 cnf('2', plain, (prop(c417,italienisch__1_1)),
% 0.21/0.72 inference(cnf_transformation,[],['ave07_era5_synth_qa07_004_mira_news_631_$sk'])).
% 0.21/0.72 cnf('3', plain, (loc(c417,$sk14(italienisch__1_1,c417,X)) | ~state_adjective_state_binding(italienisch__1_1,X)),
% 0.21/0.72 inference(resolution,[],['1','2'])).
% 0.21/0.72 cnf('4', plain, (state_adjective_state_binding(italienisch__1_1,italien_0)),
% 0.21/0.72 inference(cnf_transformation,[],['$inc_fact_8886'])).
% 0.21/0.72 cnf('5', plain, (loc(c417,$sk14(italienisch__1_1,c417,italien_0))),
% 0.21/0.72 inference(resolution,[],['3','4'])).
% 0.21/0.72 cnf('6', plain, (loc($sk1(X,Y),X) | ~loc(Y,X)),
% 0.21/0.72 inference(cnf_transformation,[],['$inc_loc__stehen_1_1_loc_$sk'])).
% 0.21/0.72 cnf('7', plain, (loc($sk1($sk14(italienisch__1_1,c417,italien_0),c417),$sk14(italienisch__1_1,c417,italien_0))),
% 0.21/0.72 inference(resolution,[],['5','6'])).
% 0.21/0.72 cnf('8', plain, (scar($sk1(X,Y),Y) | ~loc(Y,X)),
% 0.21/0.72 inference(cnf_transformation,[],['$inc_loc__stehen_1_1_loc_$sk'])).
% 0.21/0.72 cnf('9', plain, (scar($sk1($sk14(italienisch__1_1,c417,italien_0),c417),c417)),
% 0.21/0.72 inference(resolution,[],['5','8'])).
% 0.21/0.72 cnf('10', plain, (subs($sk1(X,Y),stehen_1_1) | ~loc(Y,X)),
% 0.21/0.72 inference(cnf_transformation,[],['$inc_loc__stehen_1_1_loc_$sk'])).
% 0.21/0.72 cnf('11', plain, (subs($sk1($sk14(italienisch__1_1,c417,italien_0),c417),stehen_1_1)),
% 0.21/0.72 inference(resolution,[],['5','10'])).
% 0.21/0.72 cnf('12', plain, (~in(X,Y) | ~attr(Y,Z) | ~scar(U,V) | ~loc(U,X) | ~subs(U,stehen_1_1) | ~sub(Z,name_1_1)),
% 0.21/0.72 inference(cnf_transformation,[],['synth_qa07_004_mira_news_631_$sk'])).
% 0.21/0.72 cnf('13', plain, (~scar($sk1($sk14(italienisch__1_1,c417,italien_0),c417),X) | ~loc($sk1($sk14(italienisch__1_1,c417,italien_0),c417),Y) | ~in(Y,Z) | ~attr(Z,U) | ~sub(U,name_1_1)),
% 0.21/0.72 inference(resolution,[],['11','12'])).
% 0.21/0.72 cnf('14', plain, (~loc($sk1($sk14(italienisch__1_1,c417,italien_0),c417),X) | ~in(X,Y) | ~attr(Y,Z) | ~sub(Z,name_1_1)),
% 0.21/0.72 inference(resolution,[],['9','13'])).
% 0.21/0.72 cnf('15', plain, (~in($sk14(italienisch__1_1,c417,italien_0),X) | ~attr(X,Y) | ~sub(Y,name_1_1)),
% 0.21/0.72 inference(resolution,[],['7','14'])).
% 0.21/0.72 cnf('16', plain, (in($sk14(X,Y,Z),$sk15(X,Y,Z)) | ~state_adjective_state_binding(X,Z) | ~prop(Y,X)),
% 0.21/0.72 inference(cnf_transformation,[],['$inc_state_adjective__in_state_$sk'])).
% 0.21/0.72 cnf('17', plain, (in($sk14(italienisch__1_1,c417,X),$sk15(italienisch__1_1,c417,X)) | ~state_adjective_state_binding(italienisch__1_1,X)),
% 0.21/0.72 inference(resolution,[],['16','2'])).
% 0.21/0.72 cnf('18', plain, (in($sk14(italienisch__1_1,c417,italien_0),$sk15(italienisch__1_1,c417,italien_0))),
% 0.21/0.72 inference(resolution,[],['17','4'])).
% 0.21/0.72 cnf('19', plain, (~attr($sk15(italienisch__1_1,c417,italien_0),X) | ~sub(X,name_1_1)),
% 0.21/0.72 inference(resolution,[],['15','18'])).
% 0.21/0.72 cnf('20', plain, (attr($sk15(X,Y,Z),$sk16(X,Y,Z)) | ~state_adjective_state_binding(X,Z) | ~prop(Y,X)),
% 0.21/0.72 inference(cnf_transformation,[],['$inc_state_adjective__in_state_$sk'])).
% 0.21/0.72 cnf('21', plain, (attr($sk15(italienisch__1_1,c417,X),$sk16(italienisch__1_1,c417,X)) | ~state_adjective_state_binding(italienisch__1_1,X)),
% 0.21/0.72 inference(resolution,[],['20','2'])).
% 0.21/0.72 cnf('22', plain, (attr($sk15(italienisch__1_1,c417,italien_0),$sk16(italienisch__1_1,c417,italien_0))),
% 0.21/0.72 inference(resolution,[],['21','4'])).
% 0.21/0.72 cnf('23', plain, (sub($sk16(X,Y,Z),name_1_1) | ~state_adjective_state_binding(X,Z) | ~prop(Y,X)),
% 0.21/0.72 inference(cnf_transformation,[],['$inc_state_adjective__in_state_$sk'])).
% 0.21/0.72 cnf('24', plain, (sub($sk16(italienisch__1_1,c417,X),name_1_1) | ~state_adjective_state_binding(italienisch__1_1,X)),
% 0.21/0.72 inference(resolution,[],['23','2'])).
% 0.21/0.72 cnf('25', plain, (sub($sk16(italienisch__1_1,c417,italien_0),name_1_1)),
% 0.21/0.72 inference(resolution,[],['24','4'])).
% 0.21/0.72 cnf('26', plain, ($false),
% 0.21/0.72 inference(resolution,[then_simplify],['19','22','25'])).
% 0.21/0.72
% 0.21/0.72 % SZS output end CNFRefutation for /export/starexec/sandbox2/benchmark/theBenchmark.p
% 0.21/0.72
% 0.21/0.72 run 5 fork 4 statistics:
% 0.21/0.72 ----------------------------------
% 0.21/0.72 this run seconds: 0.052210
% 0.21/0.72 total seconds: 0.084869
% 0.21/0.72 stat_given_used: 2475
% 0.21/0.72 stat_given_used_at_endgame: 0
% 0.21/0.72 stat_given_candidates: 3036
% 0.21/0.72 stat_given_candidates_at_endgame: 0
% 0.21/0.72 stat_given_candidates_h: 0
% 0.21/0.72 stat_binres_derived_cl: 2343
% 0.21/0.72 stat_binres_derived_cl_h: 0
% 0.21/0.72 stat_factor_derived_cl: 44
% 0.21/0.72 stat_para_derived_cl: 0
% 0.21/0.72 stat_tautologies_discarded: 21
% 0.21/0.72 stat_forward_subsumed: 20
% 0.21/0.72 stat_derived_cut: 7
% 0.21/0.72 stat_derived_rewritten: 0
% 0.21/0.72 stat_weight_discarded_building: 0
% 0.21/0.72 stat_weight_discarded_cl: 0
% 0.21/0.72 stat_internlimit_discarded_cl: 0
% 0.21/0.72 stat_simplified: 4 simplified 0 derived 0 given
% 0.21/0.72 stat_kept_cl: 2345
% 0.21/0.72 stat_built_cl: 7299
% 0.21/0.72 stat_hyperres_partial_cl: 0
% 0.21/0.72 stat_made_rewriters: 0
% 0.21/0.72 stat_backward_subsumed: 0
% 0.21/0.72 stat_propagated_subsumed: 0
% 0.21/0.72 stat_clsubs_attempted: 7487
% 0.21/0.72 stat_clsubs_fact_groundunit_found: 348
% 0.21/0.72 stat_clsubs_rule_groundunit_found: 0
% 0.21/0.72 stat_clsubs_top_meta_attempted: 1263041
% 0.21/0.72 stat_clsubs_top_meta_failed: 1255554
% 0.21/0.72 stat_clsubs_top_meta_nonpref_attempted: 1263041
% 0.21/0.72 stat_clsubs_top_meta_nonpref_succeeded: 295412
% 0.21/0.72 stat_clsubs_top_meta_pref_attempted: 295412
% 0.21/0.72 stat_clsubs_top_meta_pref1_succeeded: 23647
% 0.21/0.72 stat_clsubs_top_meta_pref2_succeeded: 12155
% 0.21/0.72 stat_clsubs_top_meta_pref3_succeeded: 7487
% 0.21/0.72 stat_clsubs_top_meta_pref_succeeded: 7487
% 0.21/0.72 stat_clsubs_meta_attempted: 15434
% 0.21/0.72 stat_clsubs_meta_failed: 8670
% 0.21/0.72 stat_clsubs_predsymbs_attempted: 0
% 0.21/0.72 stat_clsubs_unit_attempted: 188
% 0.21/0.72 stat_clsubs_full_attempted: 7299
% 0.21/0.72 stat_forwardsubs_attempted: 2366
% 0.21/0.72 stat_lit_hash_added: 3805
% 0.21/0.72 stat_lit_hash_computed: 23741
% 0.21/0.72 stat_lit_hash_match_found: 371
% 0.21/0.72 stat_lit_hash_match_miss: 28719
% 0.21/0.72 stat_lit_hash_cut_ok: 7
% 0.21/0.72 stat_lit_strong_cut_ok: 2
% 0.21/0.72 stat_lit_hash_subsume_ok: 20
% 0.21/0.72 clqueue els 10000000 used 1
% 0.21/0.72 clactive els 10000000 used 2476
% 0.21/0.72 clactivesubsume els 10000000 used 7621
% 0.21/0.72 queue_termbuf els 200000000 used 158224
% 0.21/0.72 hyper_termbuf els 100000000 used 1
% 0.21/0.72 active_termbuf els 100000000 used 79233
% 0.21/0.72 varstack els 5000 last used 1
% 0.21/0.72 given_termbuf els 10000000 last used 1
% 0.21/0.72 simplified_termbuf els 10000000 last used 1
% 0.21/0.72 derived_termbuf els 10000000 last used 30
% 0.21/0.72 wr_mallocs: 16906
% 0.21/0.72 wr_callocs: 21
% 0.21/0.72 wr_reallocs: 502
% 0.21/0.72 wr_frees: 4
% 0.21/0.72 wr_malloc_bytes: 4163193236
% 0.21/0.72 wr_calloc_bytes: 112065536
% 0.21/0.72 wr_realloc_bytes: 743928
% 0.21/0.72 wr_realloc_freebytes: 0
% 0.21/0.72 ----------------------------------
%------------------------------------------------------------------------------