PubMed:31996342 / 7-92 JSON TXT

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Id	Subject	Object	Predicate	Lexical cue
EnjuParser_T2	0-7	NNS	denotes	Britons
EnjuParser_T3	8-10	TO	denotes	to
EnjuParser_T4	11-13	VB	denotes	be
EnjuParser_T5	14-23	VBN	denotes	evacuated
EnjuParser_T6	24-26	IN	denotes	as
EnjuParser_T7	27-37	NNS	denotes	scientists
EnjuParser_T8	38-46	VBP	denotes	estimate
EnjuParser_T9	47-49	CD	denotes	44
EnjuParser_T10	50-53	CD	denotes	000
EnjuParser_T11	54-59	NNS	denotes	cases
EnjuParser_T12	60-62	IN	denotes	of
EnjuParser_T13	63-72	NN	denotes	2019-nCOV
EnjuParser_T14	73-75	IN	denotes	in
EnjuParser_T15	76-79	DT	denotes	the
EnjuParser_T16	80-84	NN	denotes	city
EnjuParser_R1	EnjuParser_T5	EnjuParser_T3	arg1Of	evacuated,to
EnjuParser_R2	EnjuParser_T2	EnjuParser_T3	modOf	Britons,to
EnjuParser_R3	EnjuParser_T2	EnjuParser_T4	arg1Of	Britons,be
EnjuParser_R4	EnjuParser_T5	EnjuParser_T4	arg2Of	evacuated,be
EnjuParser_R5	EnjuParser_T2	EnjuParser_T5	arg2Of	Britons,evacuated
EnjuParser_R6	EnjuParser_T5	EnjuParser_T6	arg1Of	evacuated,as
EnjuParser_R7	EnjuParser_T8	EnjuParser_T6	arg2Of	estimate,as
EnjuParser_R8	EnjuParser_T7	EnjuParser_T8	arg1Of	scientists,estimate
EnjuParser_R9	EnjuParser_T11	EnjuParser_T8	arg2Of	cases,estimate
EnjuParser_R10	EnjuParser_T10	EnjuParser_T9	arg1Of	000,44
EnjuParser_R11	EnjuParser_T11	EnjuParser_T10	arg1Of	cases,000
EnjuParser_R12	EnjuParser_T11	EnjuParser_T12	arg1Of	cases,of
EnjuParser_R13	EnjuParser_T13	EnjuParser_T12	arg2Of	2019-nCOV,of
EnjuParser_R14	EnjuParser_T11	EnjuParser_T14	arg1Of	cases,in
EnjuParser_R15	EnjuParser_T16	EnjuParser_T14	arg2Of	city,in
EnjuParser_R16	EnjuParser_T16	EnjuParser_T15	arg1Of	city,the

Id	Subject	Object	Predicate	Lexical cue
T1	11-13	SO:0000999	denotes	be

Id	Subject	Object	Predicate	Lexical cue
T1	63-72	SP_7	denotes	2019-nCOV

Id	Subject	Object	Predicate	Lexical cue
TextSentencer_T2	0-85	Sentence	denotes	Britons to be evacuated as scientists estimate 44 000 cases of 2019-nCOV in the city.

Id	Subject	Object	Predicate	Lexical cue
tok3	0-7	NNP	denotes	Britons
tok4	8-10	TO	denotes	to
tok5	11-13	VB	denotes	be
tok6	14-23	VBN	denotes	evacuated
tok7	24-26	IN	denotes	as
tok8	27-37	NNS	denotes	scientists
tok9	38-46	VBP	denotes	estimate
tok10	47-49	CD	denotes	44
tok11	50-53	CD	denotes	000
tok12	54-59	NNS	denotes	cases
tok13	60-62	IN	denotes	of
tok14	63-67	CD	denotes	2019
tok15	67-68	:	denotes	-
tok16	68-72	NN	denotes	nCOV
tok17	73-75	IN	denotes	in
tok18	76-79	DT	denotes	the
tok19	80-84	NN	denotes	city
tok20	84-85	.	denotes	.
lookup2	8-10	country_code	denotes	to
lookup3	11-13	country_code	denotes	be
lookup4	24-26	country_code	denotes	as
lookup5	63-67	year	denotes	2019
lookup6	73-75	country_code	denotes	in
lookup7	80-84	loc_general_key	denotes	city
event1	14-23	OCCURRENCE	denotes	evacuated
event2	38-46	I_STATE	denotes	estimate

Id	Subject	Object	Predicate	Lexical cue	tao:has_database_id
1	63-72	Species	denotes	2019-nCOV	Tax:2697049

Id	Subject	Object	Predicate	Lexical cue
T2	0-85	Sentence	denotes	Britons to be evacuated as scientists estimate 44 000 cases of 2019-nCOV in the city.