Task: Columns-property-anotation (source dataset: SemTab2019)

You will be given a table, along with a head column and a tail column from the table. Your task is to annotate the semantic relationship between this pair of columns in the table, using a valid property name from the DBPedia Ontology, which always starts with the prefix of http://dbpedia.org/ontology/.
 
No explanation, return the ontology property in JSON format: {"DBpedia property": "<DBpedia property>"}. The annotation property should come with the prefix of http://dbpedia.org/ontology/.

Input table:
| col0                                    |   col1 |   col2 |   col3 |
|:----------------------------------------|-------:|-------:|-------:|
| Ochre                                   |      0 |     20 |     83 |
| Navy blue                               |    100 |     17 |    100 |
| Navajo white                            |      0 |      0 |     32 |
| Naples yellow                           |      0 |      2 |     62 |
| NIVO                                    |     15 |     70 |     15 |
| Mustard                                 |      1 |      0 |     66 |
| Mikado yellow                           |      0 |      0 |     95 |
| Midnight green                          |    100 |     70 |    100 |
| Midnight blue                           |     97 |     29 |     78 |
| Mauve                                   |     12 |      0 |     31 |
| Marigold                                |      0 |      8 |     85 |
| Marian blue                             |    194 |      0 |     30 |
| Marengo                                 |     25 |     60 |     25 |
| Maize                                   |      0 |      2 |     63 |
| Mahogany                                |      0 |     25 |    100 |
| Magenta                                 |      0 |      0 |    100 |
| Liver                                   |      0 |     60 |     31 |
| Lion                                    |      0 |     24 |     45 |
| Lime                                    |     25 |      0 |    100 |
| Lilac                                   |      0 |     22 |     19 |
| Lavender                                |      8 |      2 |      8 |
| Lava                                    |      0 |     72 |     31 |
| Kobicha                                 |      0 |     58 |     67 |
| Jonquil                                 |      0 |      4 |     91 |
| Jasmine                                 |      0 |      3 |     49 |
| Ivory                                   |      0 |      0 |      6 |
| Indigo                                  |     42 |     49 |    100 |
| Indian red                              |      0 |     25 |     52 |
| Heliotrope                              |     13 |      0 |     55 |
| Grey                                    |      0 |     50 |      0 |
| Goldenrod                               |      0 |     15 |     85 |
| Gold                                    |      0 |      0 |    100 |
| Glaucous                                |     47 |     29 |     47 |
| Fulvous                                 |      0 |     11 |    100 |
| Forest green                            |     83 |      8 |     76 |
| Flax                                    |      7 |      0 |     45 |
| Fire engine red                         |      0 |     19 |     89 |
| Federal Standard 595 camouflage colours |     50 |      0 |      8 |
| Fallow                                  |      0 |      8 |     45 |
| Electric green                          |    100 |      0 |    100 |
| Electric blue                           |     51 |      0 |     51 |
| Eggshell                                |      0 |      6 |     11 |
| Duke blue                               |    100 |     24 |    100 |
| Desert sand                             |      0 |      7 |     26 |
| Dark purple                             |      8 |     80 |     51 |
| Cyclamen                                |      0 |      4 |     54 |
| Cyan                                    |    100 |      0 |    100 |
| Crimson                                 |      0 |     40 |     91 |
| Cream                                   |      0 |      0 |     18 |
| Coyote brown                            |      0 |     49 |     52 |
| Cornflower blue                         |     59 |      0 |     58 |
| Cordovan                                |      0 |     46 |     54 |
| Coral                                   |      0 |      0 |     69 |
| Coquelicot                              |      0 |      0 |    100 |
| Copper                                  |      0 |     28 |     72 |
| Columbia blue                           |     13 |     11 |     13 |
| Coffee                                  |      0 |     57 |     51 |
| Citron                                  |      6 |     34 |     82 |
| Citrine                                 |      0 |     11 |     96 |
| Cinereous                               |      0 |     40 |     19 |
| Chocolate                               |      0 |     82 |    100 |
| Chestnut                                |      0 |     42 |     64 |
| Chartreuse                              |     50 |      0 |    100 |
| Champagne                               |      0 |      3 |     17 |
| Cerulean                                |    100 |     35 |    100 |
| Cerise                                  |      7 |      0 |     78 |
| Carmine                                 |      0 |      1 |    100 |
| Cardinal                                |      0 |     23 |     85 |
| Capri                                   |    100 |      0 |    100 |
| Candy apple red                         |      0 |      0 |    100 |
| Camel                                   |      0 |     24 |     45 |
| Cadet grey                              |     46 |      0 |     18 |
| Byzantium                               |      0 |     56 |     63 |
| Buff                                    |      0 |      6 |     46 |
| Brown                                   |      0 |     41 |    100 |
| Bronze                                  |     25 |      0 |     76 |
| British racing green                    |     98 |     74 |     99 |

Head column: col0

Tail column: col3



col_a_id: 0
col_b_id: 3
col_a_name: col0
col_b_name: col3
label: http://dbpedia.org/ontology/hsvCoordinateSaturation
csv: v16_63
case_id: 788