id	sid	eid	entity	type
american_scientific_journal-11877	1	1	371	CARDINAL
american_scientific_journal-11877	1	2	american	NORP
american_scientific_journal-11877	1	3	sciences issn	ORG
american_scientific_journal-11877	1	4	2313	CARDINAL
american_scientific_journal-11877	1	5	2313	CARDINAL
american_scientific_journal-11877	1	6	valencia	GPE
american_scientific_journal-11877	1	7	spain	GPE
american_scientific_journal-11877	2	1	ci	PERSON
american_scientific_journal-11877	7	1	ci	PERSON
american_scientific_journal-11877	7	2	devops	ORG
american_scientific_journal-11877	8	1	1	CARDINAL
american_scientific_journal-11877	8	2	today	DATE
american_scientific_journal-11877	10	1	1	CARDINAL
american_scientific_journal-11877	12	1	5/15/2025	CARDINAL
american_scientific_journal-11877	12	2	7/1/2025	CARDINAL
american_scientific_journal-11877	12	3	7/13/2025	CARDINAL
american_scientific_journal-11877	13	1	american	NORP
american_scientific_journal-11877	13	2	102	CARDINAL
american_scientific_journal-11877	13	3	371-381 372	CARDINAL
american_scientific_journal-11877	16	1	2	CARDINAL
american_scientific_journal-11877	19	1	3	CARDINAL
american_scientific_journal-11877	24	1	1	CARDINAL
american_scientific_journal-11877	25	1	2	CARDINAL
american_scientific_journal-11877	29	1	4	CARDINAL
american_scientific_journal-11877	33	1	2	CARDINAL
american_scientific_journal-11877	34	1	secondary	ORDINAL
american_scientific_journal-11877	35	1	american	NORP
american_scientific_journal-11877	35	2	102	CARDINAL
american_scientific_journal-11877	35	3	371-381 373	QUANTITY
american_scientific_journal-11877	38	1	⎯	PERSON
american_scientific_journal-11877	41	1	⎯	PERSON
american_scientific_journal-11877	42	1	amazon web services	ORG
american_scientific_journal-11877	42	2	microsoft azure	ORG
american_scientific_journal-11877	43	1	⎯	PERSON
american_scientific_journal-11877	45	1	⎯	PERSON
american_scientific_journal-11877	46	1	devops	ORG
american_scientific_journal-11877	46	2	sciencedirect	ORG
american_scientific_journal-11877	48	1	three	CARDINAL
american_scientific_journal-11877	48	2	1	CARDINAL
american_scientific_journal-11877	50	1	2	CARDINAL
american_scientific_journal-11877	52	1	3	CARDINAL
american_scientific_journal-11877	56	1	3	CARDINAL
american_scientific_journal-11877	57	1	weeks	DATE
american_scientific_journal-11877	57	2	months	DATE
american_scientific_journal-11877	59	1	american	NORP
american_scientific_journal-11877	59	2	102	CARDINAL
american_scientific_journal-11877	59	3	371-381 374	QUANTITY
american_scientific_journal-11877	59	4	weeks	DATE
american_scientific_journal-11877	59	5	months	DATE
american_scientific_journal-11877	60	1	5	CARDINAL
american_scientific_journal-11877	61	1	weeks	DATE
american_scientific_journal-11877	61	2	hours or minutes	TIME
american_scientific_journal-11877	62	1	1	CARDINAL
american_scientific_journal-11877	62	2	up to 30 days	DATE
american_scientific_journal-11877	62	3	a single day	DATE
american_scientific_journal-11877	63	1	6	CARDINAL
american_scientific_journal-11877	64	1	1	CARDINAL
american_scientific_journal-11877	64	2	netflix	ORG
american_scientific_journal-11877	64	3	thousands	CARDINAL
american_scientific_journal-11877	64	4	seconds	TIME
american_scientific_journal-11877	67	1	8	CARDINAL
american_scientific_journal-11877	68	1	ci	PERSON
american_scientific_journal-11877	68	2	american	NORP
american_scientific_journal-11877	68	3	102	CARDINAL
american_scientific_journal-11877	68	4	371-381 375	QUANTITY
american_scientific_journal-11877	70	1	devops	ORG
american_scientific_journal-11877	70	2	up to 200	CARDINAL
american_scientific_journal-11877	71	1	24	CARDINAL
american_scientific_journal-11877	72	1	ci	PERSON
american_scientific_journal-11877	72	2	9	CARDINAL
american_scientific_journal-11877	73	1	united airlines	ORG
american_scientific_journal-11877	73	2	ci	PERSON
american_scientific_journal-11877	74	1	75%	PERCENT
american_scientific_journal-11877	74	2	10	CARDINAL
american_scientific_journal-11877	76	1	11	CARDINAL
american_scientific_journal-11877	77	1	ci	PERSON
american_scientific_journal-11877	79	1	1	CARDINAL
american_scientific_journal-11877	79	2	2020	DATE
american_scientific_journal-11877	80	1	ntt	ORG
american_scientific_journal-11877	81	1	12	CARDINAL
american_scientific_journal-11877	82	1	2	CARDINAL
american_scientific_journal-11877	83	1	accenture	ORG
american_scientific_journal-11877	83	2	carlsberg	PERSON
american_scientific_journal-11877	83	3	100%	PERCENT
american_scientific_journal-11877	84	1	13 per month	DATE
american_scientific_journal-11877	84	2	just five	CARDINAL
american_scientific_journal-11877	85	1	carlsberg	PERSON
american_scientific_journal-11877	86	1	13	CARDINAL
american_scientific_journal-11877	87	1	3	CARDINAL
american_scientific_journal-11877	87	2	american	NORP
american_scientific_journal-11877	87	3	102	CARDINAL
american_scientific_journal-11877	87	4	371-381 376	CARDINAL
american_scientific_journal-11877	87	5	thomson reuters	ORG
american_scientific_journal-11877	88	1	amazon web services	ORG
american_scientific_journal-11877	89	1	thomson reuters	ORG
american_scientific_journal-11877	90	1	14	CARDINAL
american_scientific_journal-11877	92	1	4	CARDINAL
american_scientific_journal-11877	96	1	microsoft azure	ORG
american_scientific_journal-11877	96	2	gcp	ORG
american_scientific_journal-11877	96	3	thousands	CARDINAL
american_scientific_journal-11877	96	4	seconds	TIME
american_scientific_journal-11877	96	5	15	CARDINAL
american_scientific_journal-11877	97	1	hsbc	ORG
american_scientific_journal-11877	98	1	⎯	PERSON
american_scientific_journal-11877	98	2	ci	PERSON
american_scientific_journal-11877	99	1	united airlines	ORG
american_scientific_journal-11877	99	2	75%	PERCENT
american_scientific_journal-11877	100	1	⎯	PERSON
american_scientific_journal-11877	102	1	⎯	PERSON
american_scientific_journal-11877	103	1	thomson reuters	ORG
american_scientific_journal-11877	103	2	american	NORP
american_scientific_journal-11877	103	3	102	CARDINAL
american_scientific_journal-11877	103	4	371-381 377	QUANTITY
american_scientific_journal-11877	103	5	16	CARDINAL
american_scientific_journal-11877	109	1	2	CARDINAL
american_scientific_journal-11877	112	1	2	CARDINAL
american_scientific_journal-11877	114	1	weeks	DATE
american_scientific_journal-11877	114	2	months	DATE
american_scientific_journal-11877	115	1	american	NORP
american_scientific_journal-11877	115	2	102	CARDINAL
american_scientific_journal-11877	115	3	371-381 378	QUANTITY
american_scientific_journal-11877	117	1	netflix	ORG
american_scientific_journal-11877	117	2	thousands	CARDINAL
american_scientific_journal-11877	117	3	seconds	TIME
american_scientific_journal-11877	118	1	7	CARDINAL
american_scientific_journal-11877	121	1	⎯	PERSON
american_scientific_journal-11877	122	1	17	CARDINAL
american_scientific_journal-11877	123	1	⎯	PERSON
american_scientific_journal-11877	125	1	⎯	PERSON
american_scientific_journal-11877	128	1	⎯	PERSON
american_scientific_journal-11877	128	2	ci	PERSON
american_scientific_journal-11877	129	1	18	CARDINAL
american_scientific_journal-11877	130	1	⎯	PERSON
american_scientific_journal-11877	131	1	⎯	PERSON
american_scientific_journal-11877	133	1	⎯	PERSON
american_scientific_journal-11877	134	1	⎯	PERSON
american_scientific_journal-11877	135	1	american	NORP
american_scientific_journal-11877	135	2	102	CARDINAL
american_scientific_journal-11877	135	3	371-381 379	QUANTITY
american_scientific_journal-11877	136	1	5	CARDINAL
american_scientific_journal-11877	139	1	⎯	PERSON
american_scientific_journal-11877	139	2	weeks	DATE
american_scientific_journal-11877	139	3	months	DATE
american_scientific_journal-11877	139	4	seconds or minutes	TIME
american_scientific_journal-11877	141	1	⎯	PERSON
american_scientific_journal-11877	141	2	ci	PERSON
american_scientific_journal-11877	143	1	⎯	PERSON
american_scientific_journal-11877	150	1	⎯	PERSON
american_scientific_journal-11877	151	1	⎯	PERSON
american_scientific_journal-11877	154	1	american	NORP
american_scientific_journal-11877	154	2	102	CARDINAL
american_scientific_journal-11877	154	3	371-381 380	QUANTITY
american_scientific_journal-11877	154	4	1	CARDINAL
american_scientific_journal-11877	154	5	n. carroll	PERSON
american_scientific_journal-11877	154	6	k. conboy	PERSON
american_scientific_journal-11877	154	7	x. wang	PERSON
american_scientific_journal-11877	156	1	the journal of information technology	ORG
american_scientific_journal-11877	156	2	no.3	CARDINAL
american_scientific_journal-11877	156	3	303	CARDINAL
american_scientific_journal-11877	156	4	2023	CARDINAL
american_scientific_journal-11877	158	1	2	CARDINAL
american_scientific_journal-11877	158	2	m. armbrust, a. fox	PERSON
american_scientific_journal-11877	158	3	r. griffith	PERSON
american_scientific_journal-11877	158	4	a.d. joseph	PERSON
american_scientific_journal-11877	158	5	r. katz	PERSON
american_scientific_journal-11877	158	6	a. konwinski	PERSON
american_scientific_journal-11877	158	7	m. zaharia	PERSON
american_scientific_journal-11877	160	1	53	DATE
american_scientific_journal-11877	160	2	4	CARDINAL
american_scientific_journal-11877	160	3	58, 2010	DATE
american_scientific_journal-11877	162	1	53	DATE
american_scientific_journal-11877	162	2	4	CARDINAL
american_scientific_journal-11877	163	1	50–58	CARDINAL
american_scientific_journal-11877	165	1	3	CARDINAL
american_scientific_journal-11877	165	2	r. buyya	PERSON
american_scientific_journal-11877	165	3	c.s. yeo	PERSON
american_scientific_journal-11877	165	4	s. venugopal	PERSON
american_scientific_journal-11877	165	5	j. broberg	PERSON
american_scientific_journal-11877	165	6	i. brandic	PERSON
american_scientific_journal-11877	166	1	5th	ORDINAL
american_scientific_journal-11877	167	1	25	CARDINAL
american_scientific_journal-11877	167	2	6	CARDINAL
american_scientific_journal-11877	168	1	599-616	CARDINAL
american_scientific_journal-11877	168	2	2013	DATE
american_scientific_journal-11877	170	1	4	CARDINAL
american_scientific_journal-11877	170	2	s. marston	PERSON
american_scientific_journal-11877	170	3	z. li	PERSON
american_scientific_journal-11877	170	4	s. bandyopadhyay	PERSON
american_scientific_journal-11877	170	5	j. zhang	PERSON
american_scientific_journal-11877	170	6	a. ghalsasi	PERSON
american_scientific_journal-11877	172	1	51	DATE
american_scientific_journal-11877	172	2	1	CARDINAL
american_scientific_journal-11877	173	1	176-189	CARDINAL
american_scientific_journal-11877	173	2	2011	DATE
american_scientific_journal-11877	175	1	5	CARDINAL
american_scientific_journal-11877	175	2	r. buyya	PERSON
american_scientific_journal-11877	175	3	c.s. yeo	PERSON
american_scientific_journal-11877	175	4	s. venugopal	PERSON
american_scientific_journal-11877	175	5	j. broberg	PERSON
american_scientific_journal-11877	175	6	i. brandic	PERSON
american_scientific_journal-11877	176	1	5th	ORDINAL
american_scientific_journal-11877	177	1	25	CARDINAL
american_scientific_journal-11877	177	2	6	CARDINAL
american_scientific_journal-11877	178	1	599-616	CARDINAL
american_scientific_journal-11877	178	2	2009	DATE
american_scientific_journal-11877	180	1	6	CARDINAL
american_scientific_journal-11877	180	2	herbst	GPE
american_scientific_journal-11877	180	3	s. kounev	PERSON
american_scientific_journal-11877	180	4	r. reussner	PERSON
american_scientific_journal-11877	182	1	10th	ORDINAL
american_scientific_journal-11877	183	1	23-27	CARDINAL
american_scientific_journal-11877	183	2	2013	DATE
american_scientific_journal-11877	186	1	netflix	ORG
american_scientific_journal-11877	187	1	amazon web services	ORG
american_scientific_journal-11877	188	1	feb. 25	DATE
american_scientific_journal-11877	188	2	2025	DATE
american_scientific_journal-11877	189	1	8	CARDINAL
american_scientific_journal-11877	189	2	a. megahed	PERSON
american_scientific_journal-11877	191	1	53	DATE
american_scientific_journal-11877	191	2	4	CARDINAL
american_scientific_journal-11877	192	1	407-424	CARDINAL
american_scientific_journal-11877	192	2	2021	DATE
american_scientific_journal-11877	194	1	9] nucamp	QUANTITY
american_scientific_journal-11877	196	1	feb. 12	DATE
american_scientific_journal-11877	196	2	2025	DATE
american_scientific_journal-11877	197	1	10	CARDINAL
american_scientific_journal-11877	198	1	united airlines	ORG
american_scientific_journal-11877	198	2	75%	PERCENT
american_scientific_journal-11877	199	1	feb. 12	DATE
american_scientific_journal-11877	199	2	2025	DATE
american_scientific_journal-11877	200	1	11	CARDINAL
american_scientific_journal-11877	201	1	4x	CARDINAL
american_scientific_journal-11877	202	1	feb. 12	DATE
american_scientific_journal-11877	202	2	2025	DATE
american_scientific_journal-11877	203	1	12	CARDINAL
american_scientific_journal-11877	204	1	feb. 12	DATE
american_scientific_journal-11877	204	2	2025	DATE
american_scientific_journal-11877	205	1	13	CARDINAL
american_scientific_journal-11877	206	1	carlsberg brews	ORG
american_scientific_journal-11877	207	1	feb. 12	DATE
american_scientific_journal-11877	207	2	2025	DATE
american_scientific_journal-11877	208	1	14	CARDINAL
american_scientific_journal-11877	208	2	australian	NORP
american_scientific_journal-11877	209	1	125-year-old	DATE
american_scientific_journal-11877	209	2	thomson reuters	ORG
american_scientific_journal-11877	209	3	https://www.nucamp.co/blog/coding-bootcamp-back-end-with-python-and-sql-devops-case-studies-lessons-from-the-industry https://www.nucamp.co/blog/coding-bootcamp-back-end-with-python-and-sql-devops-case-studies-lessons-from-the-industry https://www.accenture.com/us-en/case-studies/cloud/carlsberg-cloud-innovation https://www.accenture.com/us-en/case-studies/cloud/carlsberg-cloud-innovation	ORG
american_scientific_journal-11877	209	4	american	NORP
american_scientific_journal-11877	209	5	102	CARDINAL
american_scientific_journal-11877	209	6	371-381 381	QUANTITY
american_scientific_journal-11877	210	1	https://www.theaustralian.com.au/business/the-aussie-who-got125yearold-thomson-reuters-match-fit-for-the-artificial-intelligence-boom/newsstory/603c59501ea507edb3d7c3f1405206d8	PERSON
american_scientific_journal-11877	210	2	feb. 12	DATE
american_scientific_journal-11877	210	3	2025	DATE
american_scientific_journal-11877	211	1	15	CARDINAL
american_scientific_journal-11877	211	2	b. gupta	PERSON
american_scientific_journal-11877	211	3	t. mufti	PERSON
american_scientific_journal-11877	212	1	amazon web service	ORG
american_scientific_journal-11877	212	2	microsoft azure & google	ORG
american_scientific_journal-11877	213	1	2nd	ORDINAL
american_scientific_journal-11877	213	2	9, 2020	DATE
american_scientific_journal-11877	214	1	16	CARDINAL
american_scientific_journal-11877	214	2	australian	NORP
american_scientific_journal-11877	215	1	thomson reuters	ORG
american_scientific_journal-11877	216	1	feb. 12	DATE
american_scientific_journal-11877	216	2	2025	DATE
american_scientific_journal-11877	217	1	17	CARDINAL
american_scientific_journal-11877	217	2	s. marston	PERSON
american_scientific_journal-11877	217	3	z. li	PERSON
american_scientific_journal-11877	217	4	s. bandyopadhyay	PERSON
american_scientific_journal-11877	217	5	j. zhang	PERSON
american_scientific_journal-11877	217	6	a. ghalsasi	PERSON
american_scientific_journal-11877	219	1	51	CARDINAL
american_scientific_journal-11877	219	2	no.1	ORG
american_scientific_journal-11877	220	1	176-189	CARDINAL
american_scientific_journal-11877	220	2	2011	DATE
american_scientific_journal-11877	222	1	18	CARDINAL
american_scientific_journal-11877	222	2	c. ebert	PERSON
american_scientific_journal-11877	222	3	m. paasivaara	PERSON
american_scientific_journal-11877	224	1	34	CARDINAL
american_scientific_journal-11877	224	2	6	CARDINAL
american_scientific_journal-11877	225	1	98-103	CARDINAL
american_scientific_journal-11877	225	2	2017	DATE
american_scientific_journal-11877	227	1	https://www.theaustralian.com.au/business/the-aussie-who-got-125yearold-thomson-reuters-match-fit-for-the-artificial-intelligence-boom/news-story/603c59501ea507edb3d7c3f1405206d8	GPE
