{"id": "id1659", "doc_id": "XIN_ENG_20061102.0112.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nLocal people were also <e1>called</e1> on to report <e2>deaths</e2> of wild birds to the provincial wildlife protection center.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "OTHER"}
{"id": "id6668", "doc_id": "AFP_ENG_20051204.0479.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nThe <e1>trial</e1> is <e2>set</e2> to close February 10 after all the suspects have gotten a change to make a final declaration and the judges are expected to hand down a verdict on February 24.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id792", "doc_id": "XIN_ENG_20061115.0007.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nBut I personally <e1>support</e1> the <e2>election</e2> of a young, capable and vigorous writer as the new president,\" writer Hai Yan was quoted as saying by the China News Service.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id3723", "doc_id": "XIN_ENG_20051103.0169.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nIn a separate statement, the US embassy <e1>said</e1> the Visiting Forces Agreement (VFA) , signed in 1998 between the Philippine and US governments to allow US troops return to the Philippines after they pulled out in 1993, provides the mechanism for US and Philippine authorities to work together to <e2>determine</e2> the facts of the case and to ensure that accused individuals are available to both Filipino and US investigators.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id2873", "doc_id": "AFP_ENG_19970417.0042.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nThe \"biggest losers\" were South Korea, Malaysia, where a third of the world's microprocessor production is <e1>tested</e1> and packaged, Singapore, which <e2>makes</e2> 40 percent of the world's disk drives, and Taiwan, which makes eight out of 10 circuit boards and half of all keyboards.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "NONE"}
{"id": "id3620", "doc_id": "AFP_ENG_20061214.0704.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nThe gunmen, mostly youths, <e1>smashed</e1> windows and furniture inside the terminal -- Gaza's only border <e2>crossing</e2> that bypasses Israel -- while shots were fired into the air and at the building itself.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id2430", "doc_id": "XIN_ENG_20061127.0437.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nThe UN mission, known by its French acronym MONUC, <e1>said</e1> that its blue helmets (UN forces), fighting alongside the National Army Force in the DRC (FARDC), <e2>launched</e2> air strikes on the rebel 81st and the 83rd brigades loyal to General Laurent Nkunda.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id2112", "doc_id": "XIN_ENG_20061121.0337.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nThe prime minister <e1>called</e1> for unity in the deeply divided country and pledged that his government will take up all its responsibilities to <e2>protect</e2> the interests of the people.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id6741", "doc_id": "XIN_ENG_20051102.0256.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nA national committee on fighting the bird flu <e1>issued</e1> a decree <e2>urging</e2> all fever hospitals across Egypt to heighten preventive measures against the disease.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id7814", "doc_id": "XIN_ENG_20061129.0098.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nThe men's program has <e1>varied</e1>, but has become relatively standardized at all major <e2>games</e2> since 1928.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id2764", "doc_id": "XIN_ENG_20061111.0053.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nZimbabwe and Botswana's <e1>co-operation</e1> in wildlife management including the establishment of the Shashe/Limpopo and Kavango/ Zambezi Transfrontier Conservation areas was greatly <e2>appreciated</e2> by the commission which hailed the move as an indication of close cooperation.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id3850", "doc_id": "AFP_ENG_19970413.0153.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nA BJP ideologue, Jay Dubashi, <e1>said</e1>: \"The panel will meet next week to thrash out an agenda to suggest <e2>changes</e2> in the finance bill.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "BEFORE"}
{"id": "id2412", "doc_id": "AFP_ENG_20051204.0086.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\n'Monty' <e1>birdied</e1> four, 10 and 14 but bogeyed 11 to be one <e2>shot</e2> back from Kingston, who was 10 under par and leading by a shot until the final hole.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "BEFORE"}
{"id": "id2633", "doc_id": "AFP_ENG_19970406.0166.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nHe <e1>said</e1> traffic has been banned during the day because of the warming temperatures that <e2>increase</e2> the risk of avalanches.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id2377", "doc_id": "XIN_ENG_20051128.0108.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nThe relics, most are still in <e1>use</e1>, have <e2>witnessed</e2> the earliest pervasion of Western religious culture in the oriental continent as well as its ensuing coexistence with the local culture.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "BEFORE"}
{"id": "id211", "doc_id": "AFP_ENG_20061218.0111.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nBut these were <e1>cancelled</e1> at the last minute by Suffolk Police, prompting media speculation that the investigating team needed to <e2>carry</e2> out more tests.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "OTHER"}
{"id": "id1000", "doc_id": "AFP_ENG_20051206.0280.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nThe head of the British delegation, John Sawers, <e1>said</e1> the European Union proposed a <e2>compromise</e2> over the final declaration that was initially accepted by Washington while the Russians were still considering it.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id5712", "doc_id": "XIN_ENG_20051110.0134.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nThe bureau's <e1>move</e1> confirmed long-circulating speculation in the market that it would sell copper reserves to <e2>bring</e2> down the runaway copper price.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id2320", "doc_id": "AFP_ENG_19970425.0525.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nOn April 9, Iraq also <e1>flouted</e1> the UN sanctions in force since its August 1990 invasion of Kuwait and flew more than 100 Iraqis to Saudi Arabia for the start of the <e2>pilgrimage</e2>.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id7280", "doc_id": "XIN_ENG_20051123.0113.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nLi Changchun, member of the Standing Committee of the Political Bureau of the CPC Central Committee, <e1>made</e1> the remark when <e2>holding</e2> talks with Philip Mangula, general secretary of the ruling Revolutionary Party of Tanzania.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "OTHER"}
{"id": "id6182", "doc_id": "XIN_ENG_20061103.0235.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nHis body was temporarily <e1>kept</e1> in the then Central Park, which was <e2>renamed</e2> Zhongshan (Sun Yat-sen) Park in 1928.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id3467", "doc_id": "AFP_ENG_19970415.0517.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nThe EBRD was <e1>set</e1> up in 1991 to <e2>assist</e2> the transition to a market economy in eastern and central Europe and the former Soviet Union.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id3673", "doc_id": "AFP_ENG_20061229.0165.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\n\"We could <e1>increase</e1> transit with the volume needed to ensure stable functioning of the economies of our European neighbours,\" Ukraine's Energy Minister Yury Boyko <e2>said</e2>.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id4560", "doc_id": "XIN_ENG_20051115.0131.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nA nine year old boy and his sister <e1>developed</e1> symptoms of pneumonia in xianggang county, central-south Hunan province, last month after <e2>eating</e2> a chicken that had died of bird flu.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id2895", "doc_id": "AFP_ENG_20051207.0417.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nPolice <e1>opened</e1> an investigation in August last year after a report by state comptroller Eliezer Goldberg found Hanegbi had \"trampled on the law\" by <e2>appointing</e2> dozens of political supporters to posts while environment minister.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id7674", "doc_id": "AFP_ENG_19970422.0733.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nIn the last election in 1992, polls <e1>predicted</e1> a Labour <e2>victory</e2> but the Conservatives eventually won.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "OTHER"}
{"id": "id6278", "doc_id": "AFP_ENG_19970421.0445.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nThe breakthroughs in the March talks were China's <e1>undertaking</e1> to grant individual overseas firms import-export rights three years after <e2>joining</e2> the WTO, and its pledge to abide by all WTO rules on intellectual property rights from the moment of its accession.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id6533", "doc_id": "XIN_ENG_20051107.0284.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nLast week, Federal Health Minister Ujjal Dosanjh <e1>provided</e1> Layton with a <e2>proposal</e2> on promoting public health care, which was criticized by Layton as \"disappointing\" Friday.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id1902", "doc_id": "AFP_ENG_20061229.0486.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nAFP_ENG_20061229.0486\n\nBAGHDAD, Dec 30 , 2006, 2006\n\nRights group condemns Saddam execution\n\n\n\n\nUS-based rights group Human Rights Watch (HRW) Saturday <e1>condemned</e1> the hanging of deposed Iraqi dictator Saddam Hussein, saying history would <e2>judge</e2> his trial and execution \"harshly\".\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "BEFORE"}
{"id": "id3647", "doc_id": "AFP_ENG_20061229.0165.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nGazprom vice-president Alexander Medvedev <e1>told</e1> France's Le Figaro daily on Friday that this amounted to \"grotesque blackmail\" and <e2>warned</e2> that European clients could face shortfalls.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id5286", "doc_id": "XIN_ENG_20061111.0084.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\n11 , 2006 (Xinhua)\n\ndecease\n\n\n\n\nThe Palestinians in the West Bank and Gaza Strip <e1>marked</e1> on Saturday two-year anniversary of Palestinian leader Yasser Arafat's <e2>decease</e2>.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id1746", "doc_id": "AFP_ENG_19970421.0123.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nThe British strength is now around 1,800 which will <e1>fall</e1> to around 1,600 by the end of May, leaving only a few to be withdrawn in the final few weeks before the <e2>handover</e2>.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id7302", "doc_id": "AFP_ENG_20061213.0676.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nUnder the new law, the federal government <e1>banned</e1> semi-automatics and pump-action rifles and shotguns and offered to buy these weapons from gunowners, <e2>using</e2> a levy on income tax.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id2279", "doc_id": "AFP_ENG_19970425.0525.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nA second group of <e1>returning</e1> pilgrims was <e2>expected</e2> at Jodaidat Arar, three kilometres (two miles) from the border, on Saturday.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id6866", "doc_id": "AFP_ENG_20061227.0080.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nRegional peacemaker Kenya, which helped form the Somali government in 2004, <e1>asked</e1> Ethiopia to cease military operations, as it announced <e2>plans</e2> to organise a regional meeting to discuss the escalation of the conflict in Somalia.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id703", "doc_id": "AFP_ENG_20061211.0352.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nAccording to government figures for September, 213,000 infected people now <e1>benefit</e1> from a government-funded antiretroviral plan, and 11,000 more <e2>join</e2> each month.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id2666", "doc_id": "XIN_ENG_20061106.0199.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\n\"Albania is home to the internationally renowned archeological sites, such as the Butrint National Park, the country's Stone City of Gjirokastra and its 2500-year-old city of Berati,\" he <e1>said</e1>, <e2>adding</e2> that Berati is expected to be granted World Heritage site status in 2007.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id2378", "doc_id": "XIN_ENG_20051128.0108.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\n<e1>Joining</e1> UNESCO's Convention Concerning the Protection of the World Cultural and Natural Heritage in 1985, China now has 31 sites on the World Heritage List, the third most next to Italy and Spain, and it is now playing an active role in <e2>protecting</e2> the world heritages.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "NONE"}
{"id": "id3779", "doc_id": "XIN_ENG_20051103.0169.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nUnder the VFA, US troops who take part in joint exercises in the Philippines are <e1>provided</e1> with special legal protection for actions taken as part of the war games but are <e2>given</e2> less protection for crimes committed while on leave.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id6431", "doc_id": "APW19980418.0210.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nHowever , <e1>cited</e1> by District of Columbia traffic police in\nDecember for <e2>driving</e2> under the influence of alcohol, Farkas  was ordered home and retired.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "BEFORE"}
{"id": "id7487", "doc_id": "bbc_20130322_1353.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nThe Israeli government <e1>admitted</e1> <e2>mistakes</e2> were made in intelligence-gathering and planning, but insisted its commandos used lethal force because activists had attacked them.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "BEFORE"}
{"id": "id1027", "doc_id": "AFP_ENG_20051206.0280.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nWhile a compromise was reached over OSCE reforms due to start next year, Russia could not <e1>agree</e1> with the US and the European Union on a joint final declaration, which must be unanimously approved by participants before the <e2>end</e2> of the conference.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "OTHER"}
{"id": "id1795", "doc_id": "XIN_ENG_20061110.0046.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\n10 , 2006 (Xinhua)\n\nIndonesia denies pursuing security pact with Australia\n\n\n\n\nIndonesia <t1>Friday</t1> dismissed a report that it would sign a security pact with Australia during the bilateral meeting scheduled <t2>Monday</t2> on the resort island of Lombok.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "NONE"}
{"id": "id4793", "doc_id": "AFP_ENG_19970407.0354.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nEuropean Union foreign ministers <e1>agreed</e1> Monday to <e2>go</e2> ahead with UN resolutions criticising the human rights record of Burma, Zaire, Iraq and Iran despite failing to reach accord on a similar condemnation of China.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "BEFORE"}
{"id": "id2243", "doc_id": "XIN_ENG_20051113.0163.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nPolice officials <e1>said</e1> Dar was taken to the blast sites to identify the targets and to confirm his <e2>involvement</e2>.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "OTHER"}
{"id": "id782", "doc_id": "XIN_ENG_20061115.0007.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nChina's literary world has <e1>become</e1> increasingly <e2>diversified</e2> since the 1980s, leaving behind the era when the literary landscape was dominated by several great masters who were admired by an awestruck public.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id5970", "doc_id": "AFP_ENG_19970430.0572.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nZairean President Mobutu Sese Seko will <e1>meet</e1> with rebel leader Laurent Kabila Friday for their first face-to-face <e2>talks</e2> on board a South African ship in a deal brokered by the US mediator, UN Ambassador William Richardson.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id1216", "doc_id": "AFP_ENG_20061220.0510.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nThe lawmakers and most Nigerians <e1>criticised</e1> the use of hi-tech polling e-machines which store voters' thumbprints and photographs, but <e2>proved</e2> ineffective in a demonstration in October.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id1646", "doc_id": "XIN_ENG_20061102.0112.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\n2 , 2006 (Xinhua)\n\nEast China province reinstates bird flu monitoring\n\n\n\n\nShandong Province, east China, has <e1>reinstated</e1> round-the-clock bird flu monitoring to <e2>prevent</e2> possible outbreaks as more and more migratory birds fly over the province on their way further south.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id383", "doc_id": "AFP_ENG_20051215.0694.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nThe legislation <e1>gives</e1> police powers to \"<e2>lock</e2> down\" suburbs, close pubs, enforce alcohol bans and confiscate cars.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id4624", "doc_id": "AFP_ENG_19970402.0390.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nBonino <e1>said</e1> EU food and medical aid could be sent to Albania quickly <e2>using</e2> logistical structures established in the former Yugoslavia.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id3574", "doc_id": "AFP_ENG_19970418.0499.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\n\"I have no doubt at all after this meeting ... that the US government will <e1>defend</e1> Hong Kong's freedoms,\" Lee <e2>said</e2> following his 25-minute talks with Clinton and Vice President Al Gore.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id7304", "doc_id": "AFP_ENG_20061213.0676.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nUnder the new law, the federal government <e1>banned</e1> semi-automatics and pump-action rifles and shotguns and <e2>offered</e2> to buy these weapons from gunowners, using a levy on income tax.\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}
{"id": "id6360", "doc_id": "AFP_ENG_20061219.0267.tml", "text": "You are a system for temporal relation classification.\nInput:\nA sentence with two marked spans:\n<e1>/<e2> = events, <t1>/<t2> = times.\nRules:\n- FIRST = <e1> or <t1>\n- SECOND = <e2> or <t2>\n- Relation is from FIRST with respect to SECOND\n- Do NOT flip direction\n\nLabels:\nBEFORE = FIRST earlier than SECOND\nAFTER = FIRST later than SECOND\nNONE = no clear relation\nOTHER = overlap or non-order relation\n\nSentence:\nEverton had called on Mourinho to retract his remarks but the lack of a response from Stamford Bridge <e1>prompted</e1> them to make things official with spokesman Ian Ross confirming: \"We will now make a formal complaint to the FA over Jose Mourinho's <e2>remarks</e2> regarding Andrew Johnson.\"\n\nOutput EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.\nDO NOT output anything else.", "label": "AFTER"}