Task: Table-QA (source dataset: FinQA)

Task: 
You are given a table containing structured data and a natural language question referring to the table. Your goal is to analyze the table and provide an accurate and concise answer based on the given data.

Instructions:
1. Understand the Table: Examine the structure, headers, and data in the table. Identify relevant columns and rows related to the question.
2. Interpret the Question: Determine whether the question requires direct retrieval, aggregation, comparison, sorting, filtering, or inference.
3. Extract the Answer: Use logical reasoning and numerical operations (if necessary) to derive the correct response from the table.
4. Format the Answer: No explanation, return the answer in a structured JSON format: {"answer": <answer>}. If the question cannot be answered due to missing or ambiguous data, return a JSON response with {"answer": null}.

Table:
| ( dollar amounts in millions )    | maturity amount   | unamortized discount   | carrying value   | fair value   |
|:----------------------------------|:------------------|:-----------------------|:-----------------|:-------------|
| floating rate notes due 2013      | $ 750             | $ 2014                 | $ 750            | $ 750        |
| 3.50% ( 3.50 % ) notes due 2014   | 1000              | 2014                   | 1000             | 1058         |
| 1.375% ( 1.375 % ) notes due 2015 | 750               | 2014                   | 750              | 762          |
| 6.25% ( 6.25 % ) notes due 2017   | 700               | -3 ( 3 )               | 697              | 853          |
| 5.00% ( 5.00 % ) notes due 2019   | 1000              | -2 ( 2 )               | 998              | 1195         |
| 4.25% ( 4.25 % ) notes due 2021   | 750               | -4 ( 4 )               | 746              | 856          |
| 3.375% ( 3.375 % ) notes due 2022 | 750               | -4 ( 4 )               | 746              | 801          |
| total long-term borrowings        | $ 5700            | $ -13 ( 13 )           | $ 5687           | $ 6275       |

Question:
what portion of the total long-term borrowings is due in the next 36 months?


pre_text: 11 .
borrowings short-term borrowings the carrying value of short-term borrowings at december 31 , 2012 and 2011 , included $ 100 million under the 2012 revolving credit facility and $ 100 million under the 2011 revolving credit facility , respectively .
2012 revolving credit facility .
in march 2011 , the company entered into a five-year $ 3.5 billion unsecured revolving credit facility ( the 201c2011 credit facility 201d ) .
in march 2012 , the 2011 credit facility was amended to extend the maturity date by one year to march 2017 and in april 2012 the amount of the aggregate commitment was increased to $ 3.785 billion ( the 201c2012 credit facility 201d ) .
the 2012 credit facility permits the company to request an additional $ 1.0 billion of borrowing capacity , subject to lender credit approval , increasing the overall size of the 2012 credit facility to an aggregate principal amount not to exceed $ 4.785 billion .
interest on borrowings outstanding accrues at a rate based on the applicable london interbank offered rate plus a spread .
the 2012 credit facility requires the company not to exceed a maximum leverage ratio ( ratio of net debt to ebitda , where net debt equals total debt less unrestricted cash ) of 3 to 1 , which was satisfied with a ratio of less than 1 to 1 at december 31 , 2012 .
the 2012 credit facility provides back-up liquidity , funds ongoing working capital for general corporate purposes and funds various investment opportunities .
at december 31 , 2012 , the company had $ 100 million outstanding under this facility with an interest rate of 1.085% ( 1.085 % ) and a maturity during january 2013 .
during january 2013 , the company rolled over the $ 100 million in borrowings at an interest rate of 1.085% ( 1.085 % ) and a maturity during february 2013 .
during february 2013 , the company rolled over the $ 100 million in borrowings at an interest rate of 1.075% ( 1.075 % ) and a maturity during march 2013 .
commercial paper program .
on october 14 , 2009 , blackrock established a commercial paper program ( the 201ccp program 201d ) under which the company could issue unsecured commercial paper notes ( the 201ccp notes 201d ) on a private placement basis up to a maximum aggregate amount outstanding at any time of $ 3.0 billion .
on may 13 , 2011 , blackrock increased the maximum aggregate amount that may be borrowed under the cp program to $ 3.5 billion .
on may 17 , 2012 , blackrock increased the maximum aggregate amount to $ 3.785 billion .
the cp program is currently supported by the 2012 credit facility .
as of december 31 , 2012 and december 31 , 2011 , blackrock had no cp notes outstanding .
long-term borrowings the carrying value and fair value of long-term borrowings estimated using market prices at december 31 , 2012 included the following : ( dollar amounts in millions ) maturity amount unamortized discount carrying value fair value .
post_text: .
label: 0.43860000000000005
qa: answer: 43.9%
ann_table_rows: 1
2
3
8
steps: op: add2-1
arg1: 750
arg2: 1000
res: 1750
op: add2-2
arg1: #0
arg2: 750
res: 2500
op: divide2-3
arg1: #1
arg2: 5700
res: 43.9%
program: add(750, 1000), add(#0, 750), divide(#1, 5700)
gold_inds: table_1: ( dollar amounts in millions ) the floating rate notes due 2013 of maturity amount is $ 750 ; the floating rate notes due 2013 of unamortized discount is $ 2014 ; the floating rate notes due 2013 of carrying value is $ 750 ; the floating rate notes due 2013 of fair value is $ 750 ;
table_2: ( dollar amounts in millions ) the 3.50% ( 3.50 % ) notes due 2014 of maturity amount is 1000 ; the 3.50% ( 3.50 % ) notes due 2014 of unamortized discount is 2014 ; the 3.50% ( 3.50 % ) notes due 2014 of carrying value is 1000 ; the 3.50% ( 3.50 % ) notes due 2014 of fair value is 1058 ;
table_3: ( dollar amounts in millions ) the 1.375% ( 1.375 % ) notes due 2015 of maturity amount is 750 ; the 1.375% ( 1.375 % ) notes due 2015 of unamortized discount is 2014 ; the 1.375% ( 1.375 % ) notes due 2015 of carrying value is 750 ; the 1.375% ( 1.375 % ) notes due 2015 of fair value is 762 ;
table_8: ( dollar amounts in millions ) the total long-term borrowings of maturity amount is $ 5700 ; the total long-term borrowings of unamortized discount is $ -13 ( 13 ) ; the total long-term borrowings of carrying value is $ 5687 ; the total long-term borrowings of fair value is $ 6275 ;
exe_ans: 0.43860000000000005
program_re: divide(add(add(750, 1000), 750), 5700)
model_input: text_18
long-term borrowings the carrying value and fair value of long-term borrowings estimated using market prices at december 31 , 2012 included the following : ( dollar amounts in millions ) maturity amount unamortized discount carrying value fair value .
table_1
( dollar amounts in millions ) the floating rate notes due 2013 of maturity amount is $ 750 ; the floating rate notes due 2013 of unamortized discount is $ 2014 ; the floating rate notes due 2013 of carrying value is $ 750 ; the floating rate notes due 2013 of fair value is $ 750 ;
table_8
( dollar amounts in millions ) the total long-term borrowings of maturity amount is $ 5700 ; the total long-term borrowings of unamortized discount is $ -13 ( 13 ) ; the total long-term borrowings of carrying value is $ 5687 ; the total long-term borrowings of fair value is $ 6275 ;