Task: Table-QA (source dataset: TableBench)

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:
| country / territory   |   area (km square) |   population |   pop density ( / km square) |   gdp millions of usd (2009) |   gdp per capita usd (2009 - 2011) | capital             |
|:----------------------|-------------------:|-------------:|-----------------------------:|-----------------------------:|-----------------------------------:|:--------------------|
| american samoa        |                199 |        55519 |                          326 |                          537 |                               7874 | pago pago           |
| australia             |            7617930 |     23154782 |                            3 |                      1515468 |                              41500 | canberra            |
| brunei                |               5765 |       407000 |                           70 |                        14700 |                              36700 | bandar seri begawan |
| cambodia              |             181035 |     14805000 |                           82 |                        10900 |                                800 | phnom penh          |
| china                 |            9671018 |   1339530000 |                          138 |                      7203784 |                               6076 | beijing             |
| hong kong             |               1104 |      7055071 |                         6390 |                       210730 |                              30000 | hong kong           |
| indonesia             |            1904569 |    237556363 |                          126 |                       514900 |                               2200 | jakarta             |
| japan                 |             377944 |    127470000 |                          337 |                      5870357 |                              39700 | tokyo               |
| north korea           |             120540 |     23906000 |                          198 |                        27820 |                               1200 | pyongyang           |
| south korea           |             100140 |     50062000 |                          500 |                       800300 |                              20000 | seoul               |
| laos                  |             236800 |      6320000 |                           27 |                         5721 |                                900 | vientiane           |
| macau                 |                 29 |       541200 |                        18662 |                        36428 |                              39800 | macau               |
| malaysia              |             329847 |     28318000 |                           86 |                       191399 |                               7525 | kuala lumpur        |
| mongolia              |            1564116 |      2736800 |                            2 |                         4212 |                               1500 | ulan bator          |
| burma                 |             676578 |     50496000 |                           74 |                        26820 |                                500 | naypyidaw           |
| new zealand           |             268021 |      4357437 |                           16 |                       109600 |                              25500 | wellington          |
| papua new guinea      |             462840 |      6732000 |                           15 |                         8200 |                               1200 | port moresby        |
| philippines           |             299764 |     91983000 |                          307 |                       158700 |                               1700 | manila              |
| singapore             |                710 |      5183700 |                         7023 |                       177133 |                              35500 | city of singapore   |
| taiwan                |              36191 |     23119772 |                          639 |                       466054 |                              20328 | taipei              |
| thailand              |             513120 |     67764000 |                          132 |                       263510 |                               3900 | bangkok             |
| timor - leste         |              14874 |      1171000 |                           76 |                          599 |                                500 | dili                |

Question:
What is the capital of Australia, according to the table?


id: 285c59f7f980d49b638f546b5d11d7ef
qtype: FactChecking
label: Canberra