TSTP Solution File: CSR117+1 by Twee---2.4.2
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- Process Solution
%------------------------------------------------------------------------------
% File : Twee---2.4.2
% Problem : CSR117+1 : TPTP v8.1.2. Released v4.1.0.
% Transfm : none
% Format : tptp:raw
% Command : parallel-twee %s --tstp --conditional-encoding if --smaller --drop-non-horn --give-up-on-saturation --explain-encoding --formal-proof
% Computer : n008.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 21:42:41 EDT 2023
% Result : Theorem 11.87s 1.90s
% Output : Proof 11.87s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.12 % Problem : CSR117+1 : TPTP v8.1.2. Released v4.1.0.
% 0.00/0.13 % Command : parallel-twee %s --tstp --conditional-encoding if --smaller --drop-non-horn --give-up-on-saturation --explain-encoding --formal-proof
% 0.17/0.34 % Computer : n008.cluster.edu
% 0.17/0.34 % Model : x86_64 x86_64
% 0.17/0.34 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.17/0.34 % Memory : 8042.1875MB
% 0.17/0.34 % OS : Linux 3.10.0-693.el7.x86_64
% 0.17/0.34 % CPULimit : 300
% 0.17/0.34 % WCLimit : 300
% 0.17/0.34 % DateTime : Mon Aug 28 14:16:47 EDT 2023
% 0.17/0.34 % CPUTime :
% 11.87/1.90 Command-line arguments: --lhs-weight 1 --flip-ordering --normalise-queue-percent 10 --cp-renormalise-threshold 10
% 11.87/1.90
% 11.87/1.90 % SZS status Theorem
% 11.87/1.90
% 11.87/1.93 % SZS output start Proof
% 11.87/1.93 Take the following subset of the input axioms:
% 11.87/1.93 fof('48_type', axiom, int('48')).
% 11.87/1.93 fof('55.67631_55', axiom, to_int('55.67631')='55').
% 11.87/1.93 fof('55.75695_55', axiom, to_int('55.75695')='55').
% 11.87/1.93 fof(coastal_cities_near_water, axiom, ![City]: (s__City(City) => (is_instance(City, s__CoastalCitiesClass) => ?[Sea]: (s__Sea(Sea) & s__orientation(City, Sea, s__Near))))).
% 11.87/1.94 fof(copenhagen_coastal, axiom, is_instance(s__Copenhagen, s__CoastalCitiesClass)).
% 11.87/1.94 fof(copenhagen_lat_type, axiom, real('55.67631')).
% 11.87/1.94 fof(copenhagen_long_type, axiom, real('12.569355')).
% 11.87/1.94 fof(copenhagen_type, axiom, s__SymbolicString(copenhagen)).
% 11.87/1.94 fof(dk_type, axiom, s__SymbolicString(dk)).
% 11.87/1.94 fof(flood_near_water, axiom, ![W, C]: ((s__WaterArea(W) & s__City(C)) => (s__orientation(C, W, s__Near) => s__capability(s__Flooding__t, s__located__m, C)))).
% 11.87/1.94 fof(int_not_real, axiom, ![A]: (int(A) => ~real(A))).
% 11.87/1.94 fof(int_not_s__CaseRole, axiom, ![A3]: (int(A3) => ~s__CaseRole(A3))).
% 11.87/1.94 fof(int_not_s__Entity, axiom, ![A3]: (int(A3) => ~s__Entity(A3))).
% 11.87/1.94 fof(int_not_s__Object, axiom, ![A3]: (int(A3) => ~s__Object(A3))).
% 11.87/1.94 fof(int_not_s__PositionalAttribute, axiom, ![A3]: (int(A3) => ~s__PositionalAttribute(A3))).
% 11.87/1.94 fof(int_not_s__SetOrClass, axiom, ![A3]: (int(A3) => ~s__SetOrClass(A3))).
% 11.87/1.94 fof(int_not_s__SymbolicString, axiom, ![A3]: (int(A3) => ~s__SymbolicString(A3))).
% 11.87/1.94 fof(kb_SUMO_MILO_6345, axiom, ![A2]: (s__GeopoliticalArea(A2) => s__GeographicArea(A2))).
% 11.87/1.94 fof(kb_SUMO_MILO_6365, axiom, ![A2_2]: (s__GeographicArea(A2_2) => s__Region(A2_2))).
% 11.87/1.94 fof(kb_SUMO_MILO_6428, axiom, ![A2_2]: (s__Nation(A2_2) => s__GeopoliticalArea(A2_2))).
% 11.87/1.94 fof(kb_SUMO_MILO_6437, axiom, ![A2_2]: (s__City(A2_2) => s__GeopoliticalArea(A2_2))).
% 11.87/1.94 fof(kb_SUMO_MILO_701, axiom, ![A2_2]: (s__Region(A2_2) => s__Object(A2_2))).
% 11.87/1.94 fof(kb_SUMO_MILO_Domains_9582, axiom, ![A2_2]: (s__BodyOfWater(A2_2) => s__WaterArea(A2_2))).
% 11.87/1.94 fof(kb_SUMO_MILO_Domains_9679, axiom, ![A2_2]: (s__Sea(A2_2) => s__BodyOfWater(A2_2))).
% 11.87/1.94 fof(latlong_s__Copenhagen, axiom, latlong(s__Copenhagen, '55.67631', '12.569355', copenhagen, dk)).
% 11.87/1.94 fof(latlong_s__Moscow, axiom, latlong(s__Moscow, '55.75695', '37.614975', moscow, ru)).
% 11.87/1.94 fof(moscow_lat_type, axiom, real('55.75695')).
% 11.87/1.94 fof(moscow_long_type, axiom, real('37.614975')).
% 11.87/1.94 fof(moscow_type, axiom, s__SymbolicString(moscow)).
% 11.87/1.94 fof(real_not_s__CaseRole, axiom, ![A3]: (real(A3) => ~s__CaseRole(A3))).
% 11.87/1.94 fof(real_not_s__Entity, axiom, ![A3]: (real(A3) => ~s__Entity(A3))).
% 11.87/1.94 fof(real_not_s__Object, axiom, ![A3]: (real(A3) => ~s__Object(A3))).
% 11.87/1.94 fof(real_not_s__PositionalAttribute, axiom, ![A3]: (real(A3) => ~s__PositionalAttribute(A3))).
% 11.87/1.94 fof(real_not_s__SetOrClass, axiom, ![A3]: (real(A3) => ~s__SetOrClass(A3))).
% 11.87/1.94 fof(real_not_s__SymbolicString, axiom, ![A3]: (real(A3) => ~s__SymbolicString(A3))).
% 11.87/1.94 fof(ru_type, axiom, s__SymbolicString(ru)).
% 11.87/1.94 fof(s__CaseRole_not_s__Entity, axiom, ![A3]: (s__CaseRole(A3) => ~s__Entity(A3))).
% 11.87/1.94 fof(s__CaseRole_not_s__Object, axiom, ![A3]: (s__CaseRole(A3) => ~s__Object(A3))).
% 11.87/1.94 fof(s__CaseRole_not_s__PositionalAttribute, axiom, ![A3]: (s__CaseRole(A3) => ~s__PositionalAttribute(A3))).
% 11.87/1.94 fof(s__CaseRole_not_s__SetOrClass, axiom, ![A3]: (s__CaseRole(A3) => ~s__SetOrClass(A3))).
% 11.87/1.94 fof(s__Copenhagen_not_s__Moscow, axiom, look_different(s__Copenhagen, s__Moscow)).
% 11.87/1.94 fof(s__Copenhagen_s__Denmark, axiom, capital_city(s__Copenhagen, s__Denmark)).
% 11.87/1.94 fof(s__Copenhagen_type, axiom, s__City(s__Copenhagen)).
% 11.87/1.94 fof(s__Denmark_OECD, axiom, is_instance(s__Denmark, s__OECDMemberEconomiesClass)).
% 11.87/1.94 fof(s__Denmark_type, axiom, s__Nation(s__Denmark)).
% 11.87/1.94 fof(s__Entity_not_s__SetOrClass, axiom, ![A3]: (s__Entity(A3) => ~s__SetOrClass(A3))).
% 11.87/1.94 fof(s__GeopoliticalArea_not_s__WaterArea, axiom, ![A3]: (s__GeopoliticalArea(A3) => ~s__WaterArea(A3))).
% 11.87/1.94 fof(s__Nation_not_s__City, axiom, ![A3]: (s__Nation(A3) => ~s__City(A3))).
% 11.87/1.94 fof(s__Object_not_s__Entity, axiom, ![A3]: (s__Object(A3) => ~s__Entity(A3))).
% 11.87/1.94 fof(s__Object_not_s__SetOrClass, axiom, ![A3]: (s__Object(A3) => ~s__SetOrClass(A3))).
% 11.87/1.94 fof(s__PositionalAttribute_not_s__Entity, axiom, ![A3]: (s__PositionalAttribute(A3) => ~s__Entity(A3))).
% 11.87/1.94 fof(s__PositionalAttribute_not_s__Object, axiom, ![A3]: (s__PositionalAttribute(A3) => ~s__Object(A3))).
% 11.87/1.94 fof(s__PositionalAttribute_not_s__SetOrClass, axiom, ![A3]: (s__PositionalAttribute(A3) => ~s__SetOrClass(A3))).
% 11.87/1.94 fof(s__SymbolicString_not_s__CaseRole, axiom, ![A3]: (s__SymbolicString(A3) => ~s__CaseRole(A3))).
% 11.87/1.94 fof(s__SymbolicString_not_s__Entity, axiom, ![A3]: (s__SymbolicString(A3) => ~s__Entity(A3))).
% 11.87/1.94 fof(s__SymbolicString_not_s__Object, axiom, ![A3]: (s__SymbolicString(A3) => ~s__Object(A3))).
% 11.87/1.94 fof(s__SymbolicString_not_s__PositionalAttribute, axiom, ![A3]: (s__SymbolicString(A3) => ~s__PositionalAttribute(A3))).
% 11.87/1.94 fof(s__SymbolicString_not_s__SetOrClass, axiom, ![A3]: (s__SymbolicString(A3) => ~s__SetOrClass(A3))).
% 11.87/1.94 fof(where, conjecture, ?[Nation, CityLat, CityLong, CityName, CityNation, Latitude, MoscowLat, MoscowLong, MoscowName, MoscowNation, City2]: (s__Object(City2) & (s__Object(Nation) & (real(CityLat) & (real(CityLong) & (s__SymbolicString(CityName) & (s__SymbolicString(CityNation) & (int(Latitude) & (real(MoscowLat) & (real(MoscowLong) & (s__SymbolicString(MoscowName) & (s__SymbolicString(MoscowNation) & (is_instance(Nation, s__OECDMemberEconomiesClass) & (capital_city(City2, Nation) & (look_different(City2, s__Moscow) & (latlong(City2, CityLat, CityLong, CityName, CityNation) & (latlong(s__Moscow, MoscowLat, MoscowLong, MoscowName, MoscowNation) & (to_int(CityLat)=to_int(MoscowLat) & s__capability(s__Flooding__t, s__located__m, City2))))))))))))))))))).
% 11.87/1.94
% 11.87/1.94 Now clausify the problem and encode Horn clauses using encoding 3 of
% 11.87/1.94 http://www.cse.chalmers.se/~nicsma/papers/horn.pdf.
% 11.87/1.94 We repeatedly replace C & s=t => u=v by the two clauses:
% 11.87/1.94 fresh(y, y, x1...xn) = u
% 11.87/1.94 C => fresh(s, t, x1...xn) = v
% 11.87/1.94 where fresh is a fresh function symbol and x1..xn are the free
% 11.87/1.94 variables of u and v.
% 11.87/1.94 A predicate p(X) is encoded as p(X)=true (this is sound, because the
% 11.87/1.94 input problem has no model of domain size 1).
% 11.87/1.94
% 11.87/1.94 The encoding turns the above axioms into the following unit equations and goals:
% 11.87/1.94
% 11.87/1.94 Axiom 1 (copenhagen_lat_type): real(55.67631) = true2.
% 11.87/1.94 Axiom 2 (moscow_lat_type): real(55.75695) = true2.
% 11.87/1.94 Axiom 3 (copenhagen_long_type): real(12.569355) = true2.
% 11.87/1.94 Axiom 4 (moscow_long_type): real(37.614975) = true2.
% 11.87/1.94 Axiom 5 (copenhagen_type): s__SymbolicString(copenhagen) = true2.
% 11.87/1.94 Axiom 6 (dk_type): s__SymbolicString(dk) = true2.
% 11.87/1.94 Axiom 7 (moscow_type): s__SymbolicString(moscow) = true2.
% 11.87/1.94 Axiom 8 (ru_type): s__SymbolicString(ru) = true2.
% 11.87/1.94 Axiom 9 (s__Denmark_type): s__Nation(s__Denmark) = true2.
% 11.87/1.94 Axiom 10 (s__Copenhagen_type): s__City(s__Copenhagen) = true2.
% 11.87/1.94 Axiom 11 (48_type): int(48) = true2.
% 11.87/1.94 Axiom 12 (55.67631_55): to_int(55.67631) = 55.
% 11.87/1.94 Axiom 13 (55.75695_55): to_int(55.75695) = 55.
% 11.87/1.94 Axiom 14 (copenhagen_coastal): is_instance(s__Copenhagen, s__CoastalCitiesClass) = true2.
% 11.87/1.94 Axiom 15 (s__Denmark_OECD): is_instance(s__Denmark, s__OECDMemberEconomiesClass) = true2.
% 11.87/1.94 Axiom 16 (s__Copenhagen_s__Denmark): capital_city(s__Copenhagen, s__Denmark) = true2.
% 11.87/1.94 Axiom 17 (s__Copenhagen_not_s__Moscow): look_different(s__Copenhagen, s__Moscow) = true2.
% 11.87/1.94 Axiom 18 (flood_near_water): fresh17(X, X, Y) = true2.
% 11.87/1.94 Axiom 19 (coastal_cities_near_water): fresh15(X, X, Y) = true2.
% 11.87/1.94 Axiom 20 (coastal_cities_near_water): fresh14(X, X, Y) = s__Sea(sea(Y)).
% 11.87/1.94 Axiom 21 (coastal_cities_near_water_1): fresh12(X, X, Y) = true2.
% 11.87/1.94 Axiom 22 (flood_near_water): fresh11(X, X, Y) = s__capability(s__Flooding__t, s__located__m, Y).
% 11.87/1.94 Axiom 23 (kb_SUMO_MILO_6345): fresh10(X, X, Y) = true2.
% 11.87/1.94 Axiom 24 (kb_SUMO_MILO_6365): fresh9(X, X, Y) = true2.
% 11.87/1.94 Axiom 25 (kb_SUMO_MILO_6428): fresh7(X, X, Y) = true2.
% 11.87/1.94 Axiom 26 (kb_SUMO_MILO_6437): fresh6(X, X, Y) = true2.
% 11.87/1.94 Axiom 27 (kb_SUMO_MILO_701): fresh5(X, X, Y) = true2.
% 11.87/1.94 Axiom 28 (kb_SUMO_MILO_Domains_9582): fresh3(X, X, Y) = true2.
% 11.87/1.94 Axiom 29 (kb_SUMO_MILO_Domains_9679): fresh2(X, X, Y) = true2.
% 11.87/1.94 Axiom 30 (coastal_cities_near_water_1): fresh13(X, X, Y) = s__orientation(Y, sea(Y), s__Near).
% 11.87/1.94 Axiom 31 (flood_near_water): fresh16(X, X, Y, Z) = fresh17(s__City(Z), true2, Z).
% 11.87/1.94 Axiom 32 (kb_SUMO_MILO_6345): fresh10(s__GeopoliticalArea(X), true2, X) = s__GeographicArea(X).
% 11.87/1.94 Axiom 33 (kb_SUMO_MILO_6365): fresh9(s__GeographicArea(X), true2, X) = s__Region(X).
% 11.87/1.94 Axiom 34 (kb_SUMO_MILO_6428): fresh7(s__Nation(X), true2, X) = s__GeopoliticalArea(X).
% 11.87/1.94 Axiom 35 (kb_SUMO_MILO_6437): fresh6(s__City(X), true2, X) = s__GeopoliticalArea(X).
% 11.87/1.94 Axiom 36 (kb_SUMO_MILO_701): fresh5(s__Region(X), true2, X) = s__Object(X).
% 11.87/1.94 Axiom 37 (kb_SUMO_MILO_Domains_9582): fresh3(s__BodyOfWater(X), true2, X) = s__WaterArea(X).
% 11.87/1.94 Axiom 38 (kb_SUMO_MILO_Domains_9679): fresh2(s__Sea(X), true2, X) = s__BodyOfWater(X).
% 11.87/1.94 Axiom 39 (latlong_s__Moscow): latlong(s__Moscow, 55.75695, 37.614975, moscow, ru) = true2.
% 11.87/1.94 Axiom 40 (latlong_s__Copenhagen): latlong(s__Copenhagen, 55.67631, 12.569355, copenhagen, dk) = true2.
% 11.87/1.94 Axiom 41 (coastal_cities_near_water): fresh14(is_instance(X, s__CoastalCitiesClass), true2, X) = fresh15(s__City(X), true2, X).
% 11.87/1.94 Axiom 42 (coastal_cities_near_water_1): fresh13(is_instance(X, s__CoastalCitiesClass), true2, X) = fresh12(s__City(X), true2, X).
% 11.87/1.94 Axiom 43 (flood_near_water): fresh16(s__orientation(X, Y, s__Near), true2, Y, X) = fresh11(s__WaterArea(Y), true2, X).
% 11.87/1.94
% 11.87/1.94 Goal 1 (where): tuple2(to_int(X), s__Object(Y), s__Object(Z), s__SymbolicString(W), s__SymbolicString(V), s__SymbolicString(U), s__SymbolicString(T), is_instance(Z, s__OECDMemberEconomiesClass), s__capability(s__Flooding__t, s__located__m, Y), real(X), real(S), real(X2), real(Y2), int(Z2), capital_city(Y, Z), look_different(Y, s__Moscow), latlong(Y, X, S, W, V), latlong(s__Moscow, X2, Y2, U, T)) = tuple2(to_int(X2), true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, true2).
% 11.87/1.94 The goal is true when:
% 11.87/1.94 X = 55.67631
% 11.87/1.94 Y = s__Copenhagen
% 11.87/1.94 Z = s__Denmark
% 11.87/1.94 W = copenhagen
% 11.87/1.94 V = dk
% 11.87/1.94 U = moscow
% 11.87/1.94 T = ru
% 11.87/1.94 S = 12.569355
% 11.87/1.94 X2 = 55.75695
% 11.87/1.94 Y2 = 37.614975
% 11.87/1.94 Z2 = 48
% 11.87/1.94
% 11.87/1.94 Proof:
% 11.87/1.94 tuple2(to_int(55.67631), s__Object(s__Copenhagen), s__Object(s__Denmark), s__SymbolicString(copenhagen), s__SymbolicString(dk), s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), s__capability(s__Flooding__t, s__located__m, s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), latlong(s__Copenhagen, 55.67631, 12.569355, copenhagen, dk), latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.94 = { by axiom 40 (latlong_s__Copenhagen) }
% 11.87/1.94 tuple2(to_int(55.67631), s__Object(s__Copenhagen), s__Object(s__Denmark), s__SymbolicString(copenhagen), s__SymbolicString(dk), s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), s__capability(s__Flooding__t, s__located__m, s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.94 = { by axiom 12 (55.67631_55) }
% 11.87/1.94 tuple2(55, s__Object(s__Copenhagen), s__Object(s__Denmark), s__SymbolicString(copenhagen), s__SymbolicString(dk), s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), s__capability(s__Flooding__t, s__located__m, s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.94 = { by axiom 36 (kb_SUMO_MILO_701) R->L }
% 11.87/1.94 tuple2(55, fresh5(s__Region(s__Copenhagen), true2, s__Copenhagen), s__Object(s__Denmark), s__SymbolicString(copenhagen), s__SymbolicString(dk), s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), s__capability(s__Flooding__t, s__located__m, s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.94 = { by axiom 33 (kb_SUMO_MILO_6365) R->L }
% 11.87/1.94 tuple2(55, fresh5(fresh9(s__GeographicArea(s__Copenhagen), true2, s__Copenhagen), true2, s__Copenhagen), s__Object(s__Denmark), s__SymbolicString(copenhagen), s__SymbolicString(dk), s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), s__capability(s__Flooding__t, s__located__m, s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.94 = { by axiom 32 (kb_SUMO_MILO_6345) R->L }
% 11.87/1.94 tuple2(55, fresh5(fresh9(fresh10(s__GeopoliticalArea(s__Copenhagen), true2, s__Copenhagen), true2, s__Copenhagen), true2, s__Copenhagen), s__Object(s__Denmark), s__SymbolicString(copenhagen), s__SymbolicString(dk), s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), s__capability(s__Flooding__t, s__located__m, s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.94 = { by axiom 35 (kb_SUMO_MILO_6437) R->L }
% 11.87/1.94 tuple2(55, fresh5(fresh9(fresh10(fresh6(s__City(s__Copenhagen), true2, s__Copenhagen), true2, s__Copenhagen), true2, s__Copenhagen), true2, s__Copenhagen), s__Object(s__Denmark), s__SymbolicString(copenhagen), s__SymbolicString(dk), s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), s__capability(s__Flooding__t, s__located__m, s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.94 = { by axiom 10 (s__Copenhagen_type) }
% 11.87/1.94 tuple2(55, fresh5(fresh9(fresh10(fresh6(true2, true2, s__Copenhagen), true2, s__Copenhagen), true2, s__Copenhagen), true2, s__Copenhagen), s__Object(s__Denmark), s__SymbolicString(copenhagen), s__SymbolicString(dk), s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), s__capability(s__Flooding__t, s__located__m, s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.94 = { by axiom 26 (kb_SUMO_MILO_6437) }
% 11.87/1.94 tuple2(55, fresh5(fresh9(fresh10(true2, true2, s__Copenhagen), true2, s__Copenhagen), true2, s__Copenhagen), s__Object(s__Denmark), s__SymbolicString(copenhagen), s__SymbolicString(dk), s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), s__capability(s__Flooding__t, s__located__m, s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.94 = { by axiom 23 (kb_SUMO_MILO_6345) }
% 11.87/1.94 tuple2(55, fresh5(fresh9(true2, true2, s__Copenhagen), true2, s__Copenhagen), s__Object(s__Denmark), s__SymbolicString(copenhagen), s__SymbolicString(dk), s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), s__capability(s__Flooding__t, s__located__m, s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.94 = { by axiom 24 (kb_SUMO_MILO_6365) }
% 11.87/1.94 tuple2(55, fresh5(true2, true2, s__Copenhagen), s__Object(s__Denmark), s__SymbolicString(copenhagen), s__SymbolicString(dk), s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), s__capability(s__Flooding__t, s__located__m, s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.94 = { by axiom 27 (kb_SUMO_MILO_701) }
% 11.87/1.94 tuple2(55, true2, s__Object(s__Denmark), s__SymbolicString(copenhagen), s__SymbolicString(dk), s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), s__capability(s__Flooding__t, s__located__m, s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.94 = { by axiom 5 (copenhagen_type) }
% 11.87/1.94 tuple2(55, true2, s__Object(s__Denmark), true2, s__SymbolicString(dk), s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), s__capability(s__Flooding__t, s__located__m, s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.94 = { by axiom 6 (dk_type) }
% 11.87/1.94 tuple2(55, true2, s__Object(s__Denmark), true2, true2, s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), s__capability(s__Flooding__t, s__located__m, s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.94 = { by axiom 22 (flood_near_water) R->L }
% 11.87/1.94 tuple2(55, true2, s__Object(s__Denmark), true2, true2, s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), fresh11(true2, true2, s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.94 = { by axiom 28 (kb_SUMO_MILO_Domains_9582) R->L }
% 11.87/1.94 tuple2(55, true2, s__Object(s__Denmark), true2, true2, s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), fresh11(fresh3(true2, true2, sea(s__Copenhagen)), true2, s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.94 = { by axiom 29 (kb_SUMO_MILO_Domains_9679) R->L }
% 11.87/1.94 tuple2(55, true2, s__Object(s__Denmark), true2, true2, s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), fresh11(fresh3(fresh2(true2, true2, sea(s__Copenhagen)), true2, sea(s__Copenhagen)), true2, s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.94 = { by axiom 19 (coastal_cities_near_water) R->L }
% 11.87/1.94 tuple2(55, true2, s__Object(s__Denmark), true2, true2, s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), fresh11(fresh3(fresh2(fresh15(true2, true2, s__Copenhagen), true2, sea(s__Copenhagen)), true2, sea(s__Copenhagen)), true2, s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.94 = { by axiom 10 (s__Copenhagen_type) R->L }
% 11.87/1.94 tuple2(55, true2, s__Object(s__Denmark), true2, true2, s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), fresh11(fresh3(fresh2(fresh15(s__City(s__Copenhagen), true2, s__Copenhagen), true2, sea(s__Copenhagen)), true2, sea(s__Copenhagen)), true2, s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.94 = { by axiom 41 (coastal_cities_near_water) R->L }
% 11.87/1.94 tuple2(55, true2, s__Object(s__Denmark), true2, true2, s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), fresh11(fresh3(fresh2(fresh14(is_instance(s__Copenhagen, s__CoastalCitiesClass), true2, s__Copenhagen), true2, sea(s__Copenhagen)), true2, sea(s__Copenhagen)), true2, s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.94 = { by axiom 14 (copenhagen_coastal) }
% 11.87/1.94 tuple2(55, true2, s__Object(s__Denmark), true2, true2, s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), fresh11(fresh3(fresh2(fresh14(true2, true2, s__Copenhagen), true2, sea(s__Copenhagen)), true2, sea(s__Copenhagen)), true2, s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.94 = { by axiom 20 (coastal_cities_near_water) }
% 11.87/1.94 tuple2(55, true2, s__Object(s__Denmark), true2, true2, s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), fresh11(fresh3(fresh2(s__Sea(sea(s__Copenhagen)), true2, sea(s__Copenhagen)), true2, sea(s__Copenhagen)), true2, s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.94 = { by axiom 38 (kb_SUMO_MILO_Domains_9679) }
% 11.87/1.94 tuple2(55, true2, s__Object(s__Denmark), true2, true2, s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), fresh11(fresh3(s__BodyOfWater(sea(s__Copenhagen)), true2, sea(s__Copenhagen)), true2, s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.94 = { by axiom 37 (kb_SUMO_MILO_Domains_9582) }
% 11.87/1.94 tuple2(55, true2, s__Object(s__Denmark), true2, true2, s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), fresh11(s__WaterArea(sea(s__Copenhagen)), true2, s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.94 = { by axiom 43 (flood_near_water) R->L }
% 11.87/1.94 tuple2(55, true2, s__Object(s__Denmark), true2, true2, s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), fresh16(s__orientation(s__Copenhagen, sea(s__Copenhagen), s__Near), true2, sea(s__Copenhagen), s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.94 = { by axiom 30 (coastal_cities_near_water_1) R->L }
% 11.87/1.94 tuple2(55, true2, s__Object(s__Denmark), true2, true2, s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), fresh16(fresh13(true2, true2, s__Copenhagen), true2, sea(s__Copenhagen), s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.94 = { by axiom 14 (copenhagen_coastal) R->L }
% 11.87/1.94 tuple2(55, true2, s__Object(s__Denmark), true2, true2, s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), fresh16(fresh13(is_instance(s__Copenhagen, s__CoastalCitiesClass), true2, s__Copenhagen), true2, sea(s__Copenhagen), s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.94 = { by axiom 42 (coastal_cities_near_water_1) }
% 11.87/1.94 tuple2(55, true2, s__Object(s__Denmark), true2, true2, s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), fresh16(fresh12(s__City(s__Copenhagen), true2, s__Copenhagen), true2, sea(s__Copenhagen), s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.94 = { by axiom 10 (s__Copenhagen_type) }
% 11.87/1.94 tuple2(55, true2, s__Object(s__Denmark), true2, true2, s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), fresh16(fresh12(true2, true2, s__Copenhagen), true2, sea(s__Copenhagen), s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.94 = { by axiom 21 (coastal_cities_near_water_1) }
% 11.87/1.95 tuple2(55, true2, s__Object(s__Denmark), true2, true2, s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), fresh16(true2, true2, sea(s__Copenhagen), s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.95 = { by axiom 31 (flood_near_water) }
% 11.87/1.95 tuple2(55, true2, s__Object(s__Denmark), true2, true2, s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), fresh17(s__City(s__Copenhagen), true2, s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.95 = { by axiom 10 (s__Copenhagen_type) }
% 11.87/1.95 tuple2(55, true2, s__Object(s__Denmark), true2, true2, s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), fresh17(true2, true2, s__Copenhagen), real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.95 = { by axiom 18 (flood_near_water) }
% 11.87/1.95 tuple2(55, true2, s__Object(s__Denmark), true2, true2, s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), true2, real(55.67631), real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.95 = { by axiom 1 (copenhagen_lat_type) }
% 11.87/1.95 tuple2(55, true2, s__Object(s__Denmark), true2, true2, s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), true2, true2, real(12.569355), real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.95 = { by axiom 3 (copenhagen_long_type) }
% 11.87/1.95 tuple2(55, true2, s__Object(s__Denmark), true2, true2, s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), true2, true2, true2, real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), look_different(s__Copenhagen, s__Moscow), true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.95 = { by axiom 17 (s__Copenhagen_not_s__Moscow) }
% 11.87/1.95 tuple2(55, true2, s__Object(s__Denmark), true2, true2, s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), true2, true2, true2, real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), true2, true2, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru))
% 11.87/1.95 = { by axiom 39 (latlong_s__Moscow) }
% 11.87/1.95 tuple2(55, true2, s__Object(s__Denmark), true2, true2, s__SymbolicString(moscow), s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), true2, true2, true2, real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), true2, true2, true2)
% 11.87/1.95 = { by axiom 7 (moscow_type) }
% 11.87/1.95 tuple2(55, true2, s__Object(s__Denmark), true2, true2, true2, s__SymbolicString(ru), is_instance(s__Denmark, s__OECDMemberEconomiesClass), true2, true2, true2, real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), true2, true2, true2)
% 11.87/1.95 = { by axiom 8 (ru_type) }
% 11.87/1.95 tuple2(55, true2, s__Object(s__Denmark), true2, true2, true2, true2, is_instance(s__Denmark, s__OECDMemberEconomiesClass), true2, true2, true2, real(55.75695), real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), true2, true2, true2)
% 11.87/1.95 = { by axiom 2 (moscow_lat_type) }
% 11.87/1.95 tuple2(55, true2, s__Object(s__Denmark), true2, true2, true2, true2, is_instance(s__Denmark, s__OECDMemberEconomiesClass), true2, true2, true2, true2, real(37.614975), int(48), capital_city(s__Copenhagen, s__Denmark), true2, true2, true2)
% 11.87/1.95 = { by axiom 4 (moscow_long_type) }
% 11.87/1.95 tuple2(55, true2, s__Object(s__Denmark), true2, true2, true2, true2, is_instance(s__Denmark, s__OECDMemberEconomiesClass), true2, true2, true2, true2, true2, int(48), capital_city(s__Copenhagen, s__Denmark), true2, true2, true2)
% 11.87/1.95 = { by axiom 15 (s__Denmark_OECD) }
% 11.87/1.95 tuple2(55, true2, s__Object(s__Denmark), true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, int(48), capital_city(s__Copenhagen, s__Denmark), true2, true2, true2)
% 11.87/1.95 = { by axiom 36 (kb_SUMO_MILO_701) R->L }
% 11.87/1.95 tuple2(55, true2, fresh5(s__Region(s__Denmark), true2, s__Denmark), true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, int(48), capital_city(s__Copenhagen, s__Denmark), true2, true2, true2)
% 11.87/1.95 = { by axiom 33 (kb_SUMO_MILO_6365) R->L }
% 11.87/1.95 tuple2(55, true2, fresh5(fresh9(s__GeographicArea(s__Denmark), true2, s__Denmark), true2, s__Denmark), true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, int(48), capital_city(s__Copenhagen, s__Denmark), true2, true2, true2)
% 11.87/1.95 = { by axiom 32 (kb_SUMO_MILO_6345) R->L }
% 11.87/1.95 tuple2(55, true2, fresh5(fresh9(fresh10(s__GeopoliticalArea(s__Denmark), true2, s__Denmark), true2, s__Denmark), true2, s__Denmark), true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, int(48), capital_city(s__Copenhagen, s__Denmark), true2, true2, true2)
% 11.87/1.95 = { by axiom 34 (kb_SUMO_MILO_6428) R->L }
% 11.87/1.95 tuple2(55, true2, fresh5(fresh9(fresh10(fresh7(s__Nation(s__Denmark), true2, s__Denmark), true2, s__Denmark), true2, s__Denmark), true2, s__Denmark), true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, int(48), capital_city(s__Copenhagen, s__Denmark), true2, true2, true2)
% 11.87/1.95 = { by axiom 9 (s__Denmark_type) }
% 11.87/1.95 tuple2(55, true2, fresh5(fresh9(fresh10(fresh7(true2, true2, s__Denmark), true2, s__Denmark), true2, s__Denmark), true2, s__Denmark), true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, int(48), capital_city(s__Copenhagen, s__Denmark), true2, true2, true2)
% 11.87/1.95 = { by axiom 25 (kb_SUMO_MILO_6428) }
% 11.87/1.95 tuple2(55, true2, fresh5(fresh9(fresh10(true2, true2, s__Denmark), true2, s__Denmark), true2, s__Denmark), true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, int(48), capital_city(s__Copenhagen, s__Denmark), true2, true2, true2)
% 11.87/1.95 = { by axiom 23 (kb_SUMO_MILO_6345) }
% 11.87/1.95 tuple2(55, true2, fresh5(fresh9(true2, true2, s__Denmark), true2, s__Denmark), true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, int(48), capital_city(s__Copenhagen, s__Denmark), true2, true2, true2)
% 11.87/1.95 = { by axiom 24 (kb_SUMO_MILO_6365) }
% 11.87/1.95 tuple2(55, true2, fresh5(true2, true2, s__Denmark), true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, int(48), capital_city(s__Copenhagen, s__Denmark), true2, true2, true2)
% 11.87/1.95 = { by axiom 27 (kb_SUMO_MILO_701) }
% 11.87/1.95 tuple2(55, true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, int(48), capital_city(s__Copenhagen, s__Denmark), true2, true2, true2)
% 11.87/1.95 = { by axiom 16 (s__Copenhagen_s__Denmark) }
% 11.87/1.95 tuple2(55, true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, int(48), true2, true2, true2, true2)
% 11.87/1.95 = { by axiom 11 (48_type) }
% 11.87/1.95 tuple2(55, true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, true2)
% 11.87/1.95 = { by axiom 13 (55.75695_55) R->L }
% 11.87/1.95 tuple2(to_int(55.75695), true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, true2, true2)
% 11.87/1.95 % SZS output end Proof
% 11.87/1.95
% 11.87/1.95 RESULT: Theorem (the conjecture is true).
%------------------------------------------------------------------------------