{Target LLM: gemini-2.0-flash-lite, Perception LLM: deepseek-chat}
{ESL file: ./benchmarks/mrt/esl/Smoking.json, Task ID: 0}

************* We now start to analysis a new case with domain mrt and Task id 0 *************
Context: A group of friends gathers on the train platform, eagerly waiting for their train. Today is special, as they are celebrating one of their birthdays. In a burst of excitement, they pull out a pack of sparklers and start lighting them, unaware of the rules. The sparklers flicker brightly, attracting the attention of other commuters. A security officer quickly approaches, pointing to the signs indicating that open flames are not allowed. Their celebration is cut short as they realize the gravity of their oversight. Apologizing, they extinguish the sparklers, understanding the importance of adhering to safety regulations. The group leaves the platform with a memorable lesson learned.

######## Stage 1: Target LLM's init query starts. ########

The response from the target LLM: False. (True: Has no misconduct; False: Has some misconduct)

######## Stage 1: Target LLM's init query takes 1.5008561611175537 seconds. ########

######## Stage 2: Perception LLM's abstraction starts. ########

	objects_all: ['group_of_friends', 'security_officer', 'sparklers', 'signs']
	interPre_all: ['LightItem(group_of_friends) = True', 'UnkLightItem(group_of_friends) = False', 'Smoke(group_of_friends) = Unknown', 'UnkSmoke(group_of_friends) = True', 'WithNakedFlame(group_of_friends) = True', 'UnkWithNakedFlame(group_of_friends) = False', 'CarryLightedItem(group_of_friends) = True', 'UnkCarryLightedItem(group_of_friends) = False', 'InNoSmokingArea(group_of_friends) = True', 'LightItem(security_officer) = Unknown', 'UnkLightItem(security_officer) = True', 'Smoke(security_officer) = Unknown', 'UnkSmoke(security_officer) = True', 'WithNakedFlame(security_officer) = Unknown', 'UnkWithNakedFlame(security_officer) = True', 'CarryLightedItem(security_officer) = Unknown', 'UnkCarryLightedItem(security_officer) = True', 'InNoSmokingArea(security_officer) = True']

######## Stage 2: Perception LLM's abstraction takes 15.245500087738037 seconds. ########

######## Stage 3: FC graph initiation starts. ########

The original knowledge_dict is:
	 LightItem_1: {('group_of_friends',): 'True'}
	 UnkLightItem_1: {('group_of_friends',): 'False', ('security_officer',): 'True'}
	 Smoke_1: {}
	 UnkSmoke_1: {('group_of_friends',): 'True', ('security_officer',): 'True'}
	 WithNakedFlame_1: {('group_of_friends',): 'True'}
	 UnkWithNakedFlame_1: {('group_of_friends',): 'False', ('security_officer',): 'True'}
	 CarryLightedItem_1: {('group_of_friends',): 'True'}
	 UnkCarryLightedItem_1: {('group_of_friends',): 'False', ('security_officer',): 'True'}
	 InNoSmokingArea_1: {('group_of_friends',): 'True', ('security_officer',): 'True'}

######## Stage 3: FC graph initiation takes 0.001993894577026367 seconds. ########

######## Stage 4: Forward chaining starts. ########

	We find an inconsistency under the proposition rule: ['p_0', 'p_5_neg'] -> p_6_neg
	The corresponding inconsistent knowledge is: InNoSmokingArea_1(group_of_friends) & ~UnkWithNakedFlame_1(group_of_friends) => ~CarryLightedItem_1(group_of_friends)
	The corresponding Boolean value mapping is: 1 & 1 => 0 (0: False, 1: True)

######## Stage 4: Forward chaining takes 8.916854858398438e-05 seconds. ########

######## Stage 5: Query the target LLM about new inferred knowledge starts. ########


######## Stage 5: Query the target LLM about new inferred knowledge takes 1.1920928955078125e-06 seconds. ########

Evaluation Results: Correct { (LLM: False, ESL (inter_level=1): False }.
	The target LLM's analysis result is same as the result analyzed by the ESL file.

The total time of ReLLM for task 0: 16.748608112335205 seconds.

Failure Type = 0, Failure Stage = 0

LLM: False, FC: False

The RV successes!