Task: Column-type-annotation (source dataset: SemTab2019)

Your task is to annotate the target entity column in the input table with the DBPedia ontology that can most accurately describe all entities in the column (i.e. use the most fine grained ontology class name that can describe all entities in the column).

No explanation, return the ontology class in JSON format: {"DBpedia ontology class": "<DBpedia ontology class>"}. Please note that DBpedia ontology classes are in the format of "http://dbpedia.org/ontology/<class_name>".

Input Table:
| col0                 |   col1 |   col2 |   col3 |   col4 |
|:---------------------|-------:|-------:|-------:|-------:|
| Coral                |     50 |    255 |     69 |     16 |
| Coquelicot           |     78 |    255 |    100 |     13 |
| Copper               |     32 |    184 |     72 |     29 |
| Columbia blue        |      4 |    196 |      0 |    200 |
| Coffee               |     30 |    111 |     51 |     25 |
| Citron               |      0 |    158 |     82 |     64 |
| Citrine              |      8 |    228 |     96 |     54 |
| Cinereous            |     15 |    152 |     19 |     12 |
| Chocolate            |     50 |    123 |     86 |     31 |
| Chestnut             |     54 |    149 |     64 |     10 |
| Chartreuse           |      0 |    127 |    100 |     90 |
| Champagne            |      6 |    247 |     17 |     37 |
| Cerulean             |     26 |      0 |      0 |    196 |
| Cerise               |     95 |    222 |     46 |    343 |
| Carmine              |     75 |    150 |     42 |    350 |
| Cardinal             |     85 |    196 |     70 |    350 |
| Capri                |     25 |      0 |      0 |    195 |
| Candy apple red      |     97 |    255 |    100 |      2 |
| Camel                |     20 |    193 |     45 |     33 |
| Cadet grey           |     29 |    145 |     24 |    205 |
| Byzantium            |     63 |    112 |     12 |    311 |
| Buff                 |      8 |    240 |     46 |     49 |
| Brown                |     50 |    150 |    100 |     30 |
| Bronze               |     59 |    205 |     86 |     30 |
| British racing green |      0 |      1 |     44 |    153 |
| Bole                 |     44 |    121 |     51 |      9 |
| Blue-green           |     18 |     13 |      0 |    192 |
| Blue-gray            |     25 |    102 |      0 |    210 |
| Bleu de France       |     39 |     49 |      0 |    210 |
| Bistre               |     30 |     61 |     49 |     24 |
| Beige                |      0 |    245 |     10 |     60 |
| Baker-Miller Pink    |     43 |    255 |     31 |    344 |
| Baby blue            |     14 |    137 |      0 |    199 |
| Aqua                 |      0 |      0 |      0 |    180 |
| Apricot              |     18 |    251 |     30 |     24 |
| Android green        |      0 |    164 |     71 |     74 |
| Amber                |     25 |    255 |    100 |     45 |
| Amaranth             |     35 |    241 |     22 |    338 |
| Alizarin crimson     |     83 |    227 |     76 |    355 |
| Alice blue           |      2 |    240 |      1 |    208 |
| Acid green           |      0 |    176 |     86 |     65 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/Colour
okay_annotation: nan
csv: v18_37
col_name: col0
case_id: 1379