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 |   col5 |
|:----------------------------------------|-------:|-------:|-------:|-------:|-------:|
| Lava                                    |     31 |     72 |     72 |     31 |     27 |
| Kobicha                                 |     67 |    107 |     58 |     67 |     28 |
| Jonquil                                 |     91 |    244 |      4 |     91 |     49 |
| Jasmine                                 |     49 |    248 |      3 |     49 |     47 |
| Ivory                                   |      6 |    255 |      0 |      6 |     60 |
| Indigo                                  |    100 |     75 |     49 |      0 |    275 |
| Indian red                              |     52 |    205 |     25 |     52 |      0 |
| Heliotrope                              |     55 |    223 |      0 |      0 |    286 |
| Goldenrod                               |     85 |    218 |     15 |     85 |     43 |
| Gold                                    |    100 |    255 |      0 |    100 |     51 |
| Glaucous                                |     47 |     96 |     29 |      0 |    216 |
| Fulvous                                 |    100 |    228 |     11 |    100 |     35 |
| Forest green                            |     76 |     34 |      8 |    100 |    120 |
| Flax                                    |     45 |    238 |      0 |     60 |     50 |
| Fire engine red                         |     89 |    206 |     19 |     80 |    357 |
| Federal Standard 595 camouflage colours |      8 |    146 |      0 |     40 |    212 |
| Fallow                                  |     45 |    193 |      8 |     33 |     33 |
| Electric green                          |    100 |      0 |      0 |    100 |    120 |
| Electric blue                           |     51 |    125 |      0 |      0 |    183 |
| Eggshell                                |     11 |    240 |      6 |     11 |     46 |
| Duke blue                               |    100 |      0 |     24 |      6 |    222 |
| Desert sand                             |     26 |    237 |      7 |     26 |     25 |
| Dark purple                             |     51 |     48 |     80 |      0 |    291 |
| Cyclamen                                |     54 |    245 |      4 |     34 |      0 |
| Cyan                                    |    100 |      0 |      0 |      0 |    180 |
| Crimson                                 |     91 |    220 |     40 |    100 |    348 |
| Cream                                   |     18 |    255 |      0 |     18 |     57 |
| Coyote brown                            |     52 |    129 |     49 |     52 |     31 |
| Cornflower blue                         |     58 |    100 |      0 |      0 |    219 |
| Cordovan                                |     54 |    137 |     46 |     50 |    355 |
| Coral                                   |     69 |    255 |      0 |     69 |     16 |
| Coquelicot                              |    100 |    255 |      0 |    100 |     13 |
| Copper                                  |     72 |    184 |     28 |     72 |     29 |
| Columbia blue                           |     13 |    196 |     11 |      0 |    200 |
| Coffee                                  |     51 |    111 |     57 |     51 |     25 |
| Citron                                  |     82 |    158 |     34 |     82 |     64 |
| Citrine                                 |     96 |    228 |     11 |     96 |     54 |
| Cinereous                               |     19 |    152 |     40 |     19 |     12 |
| Chocolate                               |    100 |    123 |     82 |     86 |     31 |
| Chestnut                                |     64 |    149 |     42 |     64 |     10 |
| Chartreuse                              |    100 |    127 |      0 |    100 |     90 |
| Champagne                               |     17 |    247 |      3 |     17 |     37 |
| Cerulean                                |    100 |      0 |     35 |      0 |    196 |
| Cerise                                  |     78 |    222 |      0 |     46 |    343 |
| Carmine                                 |    100 |    150 |      1 |     42 |    350 |
| Cardinal                                |     85 |    196 |     23 |     70 |    350 |
| Capri                                   |    100 |      0 |      0 |      0 |    195 |
| Candy apple red                         |    100 |    255 |      0 |    100 |      2 |
| Camel                                   |     45 |    193 |     24 |     45 |     33 |
| Cadet grey                              |     18 |    145 |      0 |     24 |    205 |
| Byzantium                               |     63 |    112 |     56 |     12 |    311 |
| Buff                                    |     46 |    240 |      6 |     46 |     49 |
| Brown                                   |    100 |    150 |     41 |    100 |     30 |
| Bronze                                  |     76 |    205 |      0 |     86 |     30 |
| British racing green                    |     99 |      1 |     74 |     44 |    153 |
| Bole                                    |     51 |    121 |     53 |     51 |      9 |
| Blue-green                              |     93 |     13 |     27 |      0 |    192 |
| Blue-gray                               |     50 |    102 |     20 |      0 |    210 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/Colour
okay_annotation: nan
csv: v15_38
col_name: col0
case_id: 15