MMTU-benchmark/MMTU huggingface dataset:
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   |
|:---------------------------------------------------|---------:|-------:|-------:|:-------|
| Falciform ligament                                 | 12492233 |    250 |   1192 | l_09   |
| Dorsal tarsometatarsal ligaments                   | 12493315 |     97 |    358 | l_09   |
| Dorsal talonavicular ligament                      | 12493268 |     96 |    354 | l_09   |
| Dorsal radiocarpal ligament                        | 12492932 |     86 |    328 | l_09   |
| Dorsal metatarsal ligaments                        | 12492648 |     98 |    358 | l_09   |
| Dorsal carpometacarpal ligaments                   | 12491837 |     88 |    330 | l_09   |
| Deltoid ligament                                   | 12491956 |     95 |    350 | l_09   |
| Deep transverse metacarpal ligament                | 12492625 |     89 |    331 | l_09   |
| Cruciate ligament of atlas                         | 12492136 |     73 |    293 | l_09   |
| Cricotracheal ligament                             | 12492093 |    236 |   1077 | l_09   |
| Cricothyroid ligament                              | 12489277 |    236 |   1078 | l_09   |
| Costoclavicular ligament                           | 12492029 |     81 |    314 | l_09   |
| Coracohumeral ligament                             | 12492016 |     83 |    318 | l_09   |
| Coracoclavicular ligament                          | 12492010 |     82 |    315 | l_09   |
| Coracoacromial ligament                            | 12492003 |     82 |    316 | l_09   |
| Conoid ligament                                    | 12491996 |     82 |    315 | l_09   |
| Collateral ligaments of metatarsophalangeal joints | 12491912 |     99 |    359 | l_09   |
| Collateral ligaments of interphalangeal joints     | 12491880 |     91 |    333 | l_09   |
| Cardinal ligament                                  | 13541169 |    268 |   1261 | l_09   |
| Calcaneofibular ligament                           | 12491729 |     95 |    351 | l_09   |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/Ligament
okay_annotation: http://dbpedia.org/ontology/AnatomicalStructure
csv: v18_850
col_name: col0
case_id: 1678
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       |
|:--------------|:---------------|:-------------|:----------------|:-----------|
| Z. Xun        | N. Linichuk    | H. Xintong   | G. Sretenski    | 1987-8-21  |
| Z. Hao        | L. Nichol      | Z. Dan       | M. Zueva        | 1984-7-6   |
| Z. Donohue    | M. Dubreuil    | P. Gilles    | M. Zueva        | 1991-1-8   |
| Y. Xiaoyu     | D. Wilson      | J. Yang      | M. Zueva        | 1996-1-2   |
| V. Davankova  | N. Morozov     | A. Enbert    | I. Zhuk         | 1998-5-2   |
| T. Mager      | N. Linichuk    | L. Bonacorsi | G. Sretenski    | 1990-9-9   |
| T. Zahorski   | A. Zhulin      | A. Miart     | R. Haguenauer   | 1994-8-16  |
| T. Volosozhar | N. Morozov     | S. Morozov   | A. Zhulin       | 1986-5-22  |
| S. Caruso     | J. Deutschland | T. Kolbe     | N. Morozov      | 1987-4-19  |
| R. Bradley    | C. Lindgren    | T. Vise      | N. Morozov      | 1983-11-17 |
| R. Zhiganshin | A. Najarro     | V. Sinitsina | E. Kustarova    | 1992-9-25  |
| R. L. Gac     | M. Dubreuil    | E. Elizabeth | O. Schoenfelder | 1995-5-31  |
| P. Gilles     | P. Poirier     | Z. Donohue   | C. Dean         | 1992-1-16  |
| P. Gerber     | I. Shpilband   | J. Plutowska | K. Johnson      | 1992-3-16  |
| P. Carron     | L. Jones       | M. Jost      | M. Dubreuil     | 1986-8-20  |

Target entity column: col1



col_id: 1
label: http://dbpedia.org/ontology/FigureSkater
okay_annotation: http://dbpedia.org/ontology/Person http://dbpedia.org/ontology/Athlete http://dbpedia.org/ontology/WinterSportPlayer
csv: v15_153
col_name: col1
case_id: 58
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       |
|:------------|:----------------------------|:----------------------------|:-----------|
| W. Bentley  | Little Rock, Arkansas       | Wesley Cook Bentley         | 1978-09-04 |
| T. Santos   | Philippines                 | Patricia Mae Santos         | 1995-05-18 |
| S. Simon    | Los Angeles                 | Samuel Michael Simon        | 1955-06-06 |
| M. Schwartz | Wilcox, Saskatchewan        | Mandi Jocelyn Schwartz      | 1988-02-03 |
| K. Jin-sol  | Seoul                       | Kim Jin-sol                 | 1993-11-03 |
| K. Wong     | Honolulu, Hawai'i           | Kevin Kahn Wong             | 1972-09-12 |
| J. Cena     | West Newbury, Massachusetts | John Felix Anthony Cena Jr. | 1977-04-23 |
| J. Punch    | Knoxville, Tennessee        | Jerry Punch                 | 1953-08-20 |
| J. Rowland  | Houston, Texas              | Jenny Ester                 | 1971-07-19 |
| J. Tilly    | Los Angeles, California     | Jennifer Ellen Chan         | 1958-09-16 |
| J. Gordon   | Pittsboro, Indiana          | Jeffery Michael Gordon      | 1971-08-04 |
| C. Tunay    | Philippines                 | Maria Carmela Tunay         | 1995-06-08 |
| B. Fowler   | Cooperstown, New York       | John W. Fowler              | 1858-03-16 |
| B. Burke    | Canton, Massachusetts       | Brendan Gilmore Burke       | 1988-12-08 |
| A. Weston   | Sault Ste. Marie, Michigan  | Archie Bruce Weston         | 1895-06-09 |
| A. Graf     | Los Angeles, California     | Allan Lee Graf              | 1949-0-0   |

Target entity column: col1



col_id: 1
label: http://dbpedia.org/ontology/City
okay_annotation: http://dbpedia.org/ontology/AdministrativeRegion http://dbpedia.org/ontology/Settlement http://dbpedia.org/ontology/Place http://dbpedia.org/ontology/PopulatedPlace http://dbpedia.org/ontology/Region http://dbpedia.org/ontology/Location
csv: v15_540
col_name: col1
case_id: 354
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 |
|:------------------------------|:----------------------|:----------------------------|:--------------------|-------:|
| Vertebral artery              | Subclavian artery     | Vertebral vein              | A07.231.114.839     |    578 |
| Umbilical artery              | Internal iliac artery | Umbilical vein              | A07.231.114.929     |    540 |
| Ulnar artery                  | Brachial artery       | Ulnar vein                  | A07.231.114.920     |    595 |
| Superior mesenteric artery    | Abdominal aorta       | Superior mesenteric vein    | A07.231.114.565.755 |    606 |
| Superficial epigastric artery | Femoral artery        | Superficial epigastric vein | A07.231.114.330     |    629 |
| Subclavian artery             | Aortic arch           | Subclavian vein             | A07.231.114.839     |    575 |
| Splenic artery                | Celiac artery         | Splenic vein                | A07.231.114.814     |    605 |
| Renal artery                  | Abdominal aorta       | Renal vein                  | A07.231.114.745     |    610 |
| Radial artery                 | Brachial artery       | Radial vein                 | A07.231.114.740     |    592 |
| Posterior cerebral artery     | Basilar artery        | Cerebral veins              | A07.231.114.228.700 |    580 |

Target entity column: col2



col_id: 2
label: http://dbpedia.org/ontology/Vein
okay_annotation: http://dbpedia.org/ontology/AnatomicalStructure
csv: v18_496
col_name: col2
case_id: 1554
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       |
|:---------------|:---------------------------|:-----------------|:----------------------------|:-----------|
| W. Rockefeller | New York                   | R. family        | W. P. Rockefeller           | 1912-05-01 |
| S. Dinsmoor    | New Hampshire              | G. Reid          | S. D. Jr.                   | 1766-07-01 |
| R. C. Moody    | Barbados                   | J. W. Webb-Jones | Richard Stanley Hawks Moody | 1813-02-13 |
| P. Dillingham  | Shutesbury, Massachusetts  | W. P. Dillingham | W. P. Dillingham            | 1799-08-10 |
| L. H. Arnold   | St. Johnsbury, Vermont     | I. P. Rodman     | R. Arnold                   | 1792-01-29 |
| J. Bell        | Londonderry, New Hampshire | S. Bell          | C. H. Bell                  | 1765-07-20 |
| H. H. Crapo    | Dartmouth, Massachusetts   | W. C. Durant     | W. W. Crapo                 | 1804-05-24 |

Target entity column: col3



col_id: 3
label: http://dbpedia.org/ontology/Senator
okay_annotation: http://dbpedia.org/ontology/Person http://dbpedia.org/ontology/Politician
csv: v16_335
col_name: col3
case_id: 677
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   |
|:---------------------------|:-------------------|:-------------------------|:------------------------------------|-------:|:-------|
| Superior mesenteric artery | Vitelline arteries | Superior mesenteric vein | Inferior pancreaticoduodenal artery |    154 | a_61   |
| Maxillary artery           | Aortic arches      | Maxillary veins          | Posterior superior alveolar artery  |    144 | a_61   |
| Inferior mesenteric artery | Vitelline arteries | Inferior mesenteric vein | Sigmoid arteries                    |    154 | a_61   |
| Ductus arteriosus          | Aortic arches      | Ductus venosus           | Descending aorta                    |    139 | d_29   |
| Common carotid artery      | Aortic arches      | Internal jugular vein    | External carotid artery             |    143 | a_61   |
| Ascending aorta            | Truncus arteriosus | Coronary sinus           | Left coronary artery                |    142 | p_07   |
| Aortic arch                | Aortic arches      | Inferior vena cava       | Brachiocephalic artery              |    142 | a_58   |

Target entity column: col1



col_id: 1
label: http://dbpedia.org/ontology/Embryology
okay_annotation: http://dbpedia.org/ontology/AnatomicalStructure
csv: v15_485
col_name: col1
case_id: 292
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       |
|:---------------------|:-----------|:-----------|:-----------|
| Y. Starr             | 1905-08-11 | 1905-08-11 | 1990-1-1   |
| W. Stephens          | 1913-09-01 | 1913-09-01 | 1998-08-22 |
| W. Sedlacek          | 1919-06-07 | 1919-06-07 | 2004-07-19 |
| W. F. Mulholland     | 1883-08-27 | 1883-08-27 | 1968-07-12 |
| W. W. Stephens       | 1922-11-21 | 1922-11-21 | 1987-07-10 |
| W. J. Hirsch         | 1909-01-11 | 1909-01-11 | 1997-10-25 |
| W. Day               | 1823-0-0   | 1823-0-0   | 1908-0-0   |
| W. C. Marshall       | 1918-08-14 | 1918-08-14 | 2005-11-01 |
| W. A. Hurley         | 1871-1-1   | 1871-1-1   | 1952-09-12 |
| W. L. Proctor        | 1915-12-11 | 1915-12-11 | 1998-10-30 |
| Warren A. Croll, Jr. | 1920-03-09 | 1920-03-09 | 2008-06-06 |
| W. Earl              | 1890-0-0   | 1890-0-0   | 1950-0-0   |
| W. Dunn              | 1911-12-04 | 1911-12-04 | 2004-04-21 |
| V. W. Raines         | 1911-03-30 | 1911-03-30 | 2000-05-10 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/HorseTrainer
okay_annotation: http://dbpedia.org/ontology/Person
csv: v17_862
col_name: col0
case_id: 1325
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          |
|:--------------|:----------------|:---------------|:-----------------------|:--------------|:--------------|
| Y. Kavaguti   | N. Velikov      | P. Tchernyshev | Funabashi, Chiba       | I. Bobrin     | A. Markuntsov |
| Y. Xiaoyu     | L. Bo           | D. Wilson      | Beijing                | M. Zueva      | J. Yang       |
| T. Zahorski   | O. Schoenfelder | A. Zhulin      | London                 | R. Haguenauer | A. Miart      |
| T. Volosozhar | I. Steuer       | N. Morozov     | Dnipropetrovsk         | A. Zhulin     | S. Morozov    |
| P. Gilles     | C. Dean         | P. Poirier     | Rockford, Illinois     | C. Dean       | Z. Donohue    |
| P. Carron     | R. Haguenauer   | L. Jones       | Villefranche-sur-Saône | M. Dubreuil   | M. Jost       |
| O. Japaridze  | N. Morozov      | E. Platov      | Tbilisi                | N. Morozov    | I. Tobias     |
| O. Hotárek    | J. Dungjen      | M. Scali       | Brno                   | A. Krylova    | V. Havlíčková |
| N. Katsalapov | A. Zhulin       | N. Morozov     | Moscow                 | A. Zhulin     | E. Ilinykh    |
| N. Orford     | M. Wing         | J. Razgulajevs | Calgary                | M. Wing       | T. Williams   |
| N. Takahashi  | J. Dungjen      | N. Morozov     | Chiba, Chiba           | M. Zueva      | M. Tran       |
| M. Trankov    | N. Velikov      | N. Morozov     | Perm                   | A. Zhulin     | A. Ulanov     |
| M. Mukhortova | A. Dmitriev     | A. Matveev     | St. Petersburg, Russia | T. Druchinina | P. Lebedev    |

Target entity column: col3



col_id: 3
label: http://dbpedia.org/ontology/City
okay_annotation: http://dbpedia.org/ontology/AdministrativeRegion http://dbpedia.org/ontology/Settlement http://dbpedia.org/ontology/Place http://dbpedia.org/ontology/PopulatedPlace http://dbpedia.org/ontology/Region http://dbpedia.org/ontology/Location
csv: v17_198
col_name: col3
case_id: 1088
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                           |
|:------------------|:-----------|:-----------|:-------------------------------|
| L. L. Duff-Gordon | 1863-06-13 | 1935-04-20 | Lucy Christiana Sutherland     |
| L. Claiborne      | 1929-03-31 | 2007-06-26 | Anne Elisabeth Jane Claiborne  |
| L. Gottlieb       | 1918-09-17 | 2012-11-17 | Leah Lenke Roth                |
| J. Crahay         | 1917-05-21 | 1988-01-05 | Jules-François Crahay          |
| J. F. Turner      | 1881-1-1   | 1956-1-1   | Jessie Franklin Turner         |
| J. Paquin         | 1869-1-1   | 1936-1-1   | Jeanne Marie Charlotte Beckers |
| G. Camerino       | 1920-12-08 | 2010-05-10 | Giuliana Coen                  |
| G. W. Ford        | 1924-10-02 | 2008-08-24 | Gerard William Ford            |
| F. Simon          | 1951-01-29 | 1998-07-29 | Fabrice Simon                  |
| D. Brooks         | 1928-01-09 | 2005-08-01 | Donald Marc Blumberg           |
| D. Gonzales       | 1907-06-06 | 1994-0-0   | Dolores Consuelo Barcelo       |
| C. Chanel         | 1883-08-19 | 1971-01-10 | Gabrielle Chanel               |
| C. Potter         | 1903-07-07 | 1999-01-05 | Clare Meyer                    |
| C. James          | 1906-07-18 | 1978-09-23 | Charles Wilson Brega James     |
| B. Gibb           | 1943-01-23 | 1988-01-03 | William Elphinstone Gibb       |
| B. Blass          | 1922-06-22 | 2002-06-12 | William Ralph Blass            |
| B. Belew          | 1931-05-20 | 2008-01-07 | William Lewis Belew            |
| A. McQueen        | 1969-03-17 | 2010-02-11 | Lee Alexander McQueen          |
| Adrian            | 1903-03-03 | 1959-09-13 | Adrian Adolph Greenberg        |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/FashionDesigner
okay_annotation: http://dbpedia.org/ontology/Person http://dbpedia.org/ontology/Artist
csv: v18_194
col_name: col0
case_id: 1432
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            |
|:-----------|:----------------------------------------------|:--------------------------|:----------------|
| N. Scott   | A. Provosty                                   | J. Scott                  | Louisiana       |
| J. Verney  | George Verney, 12th Baron Willoughby de Broke | Baron Willoughby de Broke | Kent            |
| J. Iqbal   | Y. Salahuddin                                 | W. Iqbal                  | Punjab Province |
| H. C. Drew | H. D. Jr.                                     | R. Harmon Drew, Sr.       | Louisiana       |
| B. Laskin  | S. Laskin                                     | J. I. Laskin              | Ontario         |
| B. O'Keefe | J. O'Keefe                                    | A. O'Keefe                | New South Wales |

Target entity column: col3



col_id: 3
label: http://dbpedia.org/ontology/Region
okay_annotation: http://dbpedia.org/ontology/AdministrativeRegion http://dbpedia.org/ontology/PopulatedPlace http://dbpedia.org/ontology/Place http://dbpedia.org/ontology/Location
csv: v16_876
col_name: col3
case_id: 986
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       |
|:---------------|:-------------------------------|:----------------------------------|:--------------------|:-----------|
| C. C. Davies   | North Battleford, Saskatchewan | North Battleford, Saskatchewan    | Bracknell           | 1936-05-12 |
| C. Gillis      | Glace Bay, Nova Scotia         | Nova Scotia                       | Nova Scotia         | 1960-12-17 |
| C. Lee         | Tenterfield, New South Wales   | Electoral district of Tenterfield | New South Wales     | 1926-08-16 |
| B. Smith       | Bowral, New South Wales        | Edmund Smith                      | England             | 1937-08-14 |
| B. S. Rao      | Delhi                          | Mangalore                         | Mangalore           | 1975-12-15 |
| A. Kumar       | North Yorkshire                | Marton, Middlesbrough             | India               | 2010-03-15 |
| A. R. Smith    | Alberta                        | Alberta                           | Alberta             | 2008-06-30 |
| A. J. Lewis    | Penetanguishene, Ontario       | Lawson, Saskatchewan              | England             | 1961-11-08 |
| A. J. Bater    | North Battleford, Saskatchewan | Baljennie, Saskatchewan           | Cornwall            | 1969-04-05 |
| A. Moonesinghe | Colombo                        | Welikadawatte                     | Colombo             | 2002-12-08 |
| A. Scott       | Fredericton                    | Fredericton, New Brunswick        | Fredericton         | 2013-06-24 |
| A. Ozanne      | Brighton                       | Brighton                          | Melbourne, Victoria | 1961-5-27  |
| A. Schultz     | New South Wales                | Goulburn, New South Wales         | Melbourne           | 2015-07-14 |
| A. Jalil       | Singapore                      | Bangladesh                        | Naogaon             | 2013-03-06 |
| A. W. Stuart   | Fredericton, New Brunswick     | St. Andrews, New Brunswick        | Canada              | 1984-11-29 |

Target entity column: col1



col_id: 1
label: http://dbpedia.org/ontology/City
okay_annotation: http://dbpedia.org/ontology/AdministrativeRegion http://dbpedia.org/ontology/Settlement http://dbpedia.org/ontology/Place http://dbpedia.org/ontology/PopulatedPlace http://dbpedia.org/ontology/Region http://dbpedia.org/ontology/Location
csv: v17_995
col_name: col1
case_id: 1373
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       |
|:-----------|:--------------|:----------------|:-----------|:-----------|:-----------|
| T. Nurse   | Dundee        | Scotland        | 1965-02-14 | 1965-02-14 | 2016-07-24 |
| S. Nagy    | Enkoping      | Sweden          | 1951-07-31 | 1951-07-31 | 2016-06-23 |
| R. Herbert | Pontypool     | Wales           | 1972-11-28 | 1972-11-28 | 2012-02-22 |
| P. Nixon   | County Durham | Durham, England | 1956-03-13 | 1956-03-13 | 2013-08-09 |
| G. Haywood | Sheffield     | Yorkshire       | 1946-0-0   | 1946-0-0   | 2016-09-12 |
| C. Inglis  | Plymouth      | England         | 1935-1-1   | 1935-1-1   | 2001-1-1   |

Target entity column: col1



col_id: 1
label: http://dbpedia.org/ontology/City
okay_annotation: http://dbpedia.org/ontology/AdministrativeRegion http://dbpedia.org/ontology/Settlement http://dbpedia.org/ontology/Place http://dbpedia.org/ontology/PopulatedPlace http://dbpedia.org/ontology/Region http://dbpedia.org/ontology/Location
csv: v18_132
col_name: col1
case_id: 1423
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       |
|:----------------------|:-----------|:-----------|:-----------|:-----------|
| USS Marabout          | 1941-07-08 | 1940-12-20 | 1941-02-17 | 1946-05-29 |
| USS Maquoketa         | 1945-02-27 | 1944-01-14 | 1944-08-12 | 1947-02-21 |
| USS Mapiro            | 1945-04-30 | 1944-05-30 | 1944-11-09 | 1946-03-16 |
| USS Manta             | 1944-12-18 | 1943-01-15 | 1943-11-07 | 1946-06-10 |
| USS Mansfield         | 1944-04-14 | 1943-08-28 | 1944-01-29 | 1971-02-04 |
| USS Manning           | 1943-10-01 | 1943-02-15 | 1943-06-01 | 1947-01-15 |
| USS Manlove           | 1943-11-08 | 1943-02-24 | 1943-07-28 | 1945-11-16 |
| USS Manley            | 1957-02-01 | 1955-02-10 | 1956-04-12 | 1983-03-04 |
| USS Manley            | 1917-10-15 | 1916-08-22 | 1917-08-23 | 1922-06-14 |
| USS Manitowoc         | 1944-12-05 | 1943-08-26 | 1943-11-30 | 1946-03-14 |
| USS Manila Bay        | 1943-10-05 | 1943-01-15 | 1943-07-10 | 1946-07-31 |
| USS Mango             | 1942-12-15 | 1940-10-18 | 1941-02-22 | 1947-04-04 |
| USS Manderson Victory | 1944-11-03 | 1944-07-04 | 1944-09-23 | 1946-05-10 |
| USS Manchineel        | 1944-04-26 | 1943-06-08 | 1944-01-01 | 1946-03-11 |
| USS Manchester        | 1946-10-29 | 1944-09-25 | 1946-03-05 | 1956-06-27 |
| USS Manayunk          | 1945-05-25 | 1944-12-18 | 1945-03-30 | 1946-07-19 |
| USS Maloy             | 1943-12-13 | 1943-05-10 | 1943-08-18 | 1965-05-28 |
| USS Mallard           | 1919-06-25 | 1918-05-25 | 1918-12-17 | 1946-12-10 |
| USS Malabar           | 1945-03-08 | 1944-07-17 | 1944-09-17 | 1955-06-20 |
| USS Makassar Strait   | 1944-04-27 | 1943-12-29 | 1944-03-22 | 1946-08-09 |
| USS Major             | 1944-02-12 | 1943-08-16 | 1943-10-23 | 1948-03-13 |
| USS Mainstay          | 1944-04-24 | 1943-04-10 | 1943-07-31 | 1946-11-06 |
| USS Maine             | 1902-12-29 | 1899-02-15 | 1901-07-27 | 1909-08-31 |
| USS Mahoning County   | 1944-05-18 | 1944-02-16 | 1944-04-18 | 1959-09-05 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/Ship
okay_annotation: http://dbpedia.org/ontology/MeanOfTransportation http://dbpedia.org/ontology/Locomotive http://dbpedia.org/ontology/Aircraft http://dbpedia.org/ontology/Automobile http://dbpedia.org/ontology/MilitaryVehicle
csv: v17_358
col_name: col0
case_id: 1144
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         |
|:--------------------------------|:--------------------------|:----------------|:-------------|
| A Chorus of Frogs               | Six Hands Across a Table  | L. Johnson      | R. Menmuir   |
| A Change Is Gonna Come          | Love/Addiction            | M. Kearney      | M. Grossman  |
| 201                             | Crippled Summer           | T. Zombies      | T. Parker    |
| 2009                            | Dreams Come True          | D. S. Believin' | P. Barclay   |
| 18 Miles Out                    | Judge, Jury, Executioner  | W. Oak          | E. Dickerson |
| 11001001                        | Too Short a Season        | R. Jones        | P. Lynch     |
| 100                             | New Directions            | Toxic           | P. Barclay   |
| ...Nor the Battle to the Strong | The Assignment            | D. McCarthy     | K. Friedman  |
| ...In Translation               | Numbers                   | D. Rice         | T. Gates     |
| "Good Luck, Father Ted"         | Entertaining Father Stone | T. D. Comedy    | D. Lowney    |

Target entity column: col1



col_id: 1
label: http://dbpedia.org/ontology/TelevisionEpisode
okay_annotation: http://dbpedia.org/ontology/Work
csv: v18_245
col_name: col1
case_id: 1480
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       |
|:---------------|:--------------------------|:----------------|:-----------------|:----------------|:-----------|
| Artaius        | John Wesley Hanes II      | My Babu         | Round Table      | Princequillo    | 1974-02-26 |
| Armiger        | J. Farm                   | Northern Dancer | Rainbow Quest    | Blushing Groom  | 1990-02-15 |
| Ardross        | P. Prendergast            | Levmoss         | Run the Gantlet  | Tom Rolfe       | 1976-05-27 |
| Aqaarid        | S. Farm                   | Lomond          | Nashwan          | Blushing Groom  | 1992-01-14 |
| American Post  | J. Farms                  | Sadler's Wells  | Bering           | Arctic Tern     | 2001-02-03 |
| Almutawakel    | S. Racing                 | Green Desert    | Machiavellian    | Mr. Prospector  | 1995-01-19 |
| Alhaarth       | S. Racing                 | Irish River     | Unfuwain         | Northern Dancer | 1993-03-07 |
| Al Bahathri    | T. P. Whitney             | Nodouble        | Blushing Groom   | Red God         | 1982-03-15 |
| Air Force Blue | S. Farm                   | Maria's Mon     | War Front        | Danzig          | 2013-05-02 |
| Agnes World    | C. Farm                   | Seattle Slew    | Danzig           | Northern Dancer | 1995-04-28 |
| African Story  | D. Stud                   | Gone West       | Pivotal          | Polar Falcon    | 2007-03-10 |
| African Rose   | J. Farms                  | Quest for Fame  | Observatory      | Distant View    | 2005-05-08 |
| Affirmed       | H. V. Farm                | Crafty Admiral  | Exclusive Native | Raise a Native  | 1975-02-21 |
| Ad Valorem     | C. Farm                   | Relaunch        | Danzig           | Northern Dancer | 2002-04-27 |
| A.P. Indy      | William Stamps Farish III | Secretariat     | Seattle Slew     | Bold Reasoning  | 1989-03-31 |

Target entity column: col3



col_id: 3
label: http://dbpedia.org/ontology/RaceHorse
okay_annotation: http://dbpedia.org/ontology/Eukaryote http://dbpedia.org/ontology/Mammal http://dbpedia.org/ontology/Animal http://dbpedia.org/ontology/Horse http://dbpedia.org/ontology/Species
csv: v15_913
col_name: col3
case_id: 490
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 |
|:-------------------|:---------------------|:----------------------------|:-------------|-------:|-------:|
| Vulva              | Genital tubercle     | Internal pudendal artery    | Vulva        |    270 |   1264 |
| Vas deferens       | Wolffian duct        | Superior vesical artery     | Vas+Deferens |    259 |   1245 |
| Vagina             | Paramesonephric duct | Uterine artery              | Vagina       |    269 |   1264 |
| Uterus             | Müllerian duct       | Ovarian artery              | Uterus       |    268 |   1258 |
| Urinary bladder    | Urogenital sinus     | Umbilical artery            | Bladder      |    255 |   1228 |
| Urethra            | Urogenital sinus     | Inferior vesical artery     | urethra      |    256 |   1234 |
| Ureter             | Ureteric bud         | Vaginal artery              | Ureter       |    254 |   1225 |
| Tongue             | Tuberculum impar     | Ascending pharyngeal artery | Tongue       |    242 |   1125 |
| Thoracic diaphragm | Pleuroperitoneal     | Inferior phrenic arteries   | Diaphragm    |    117 |    404 |
| Stomach            | Foregut              | Left gastric artery         | Stomach      |    247 |   1161 |

Target entity column: col2



col_id: 2
label: http://dbpedia.org/ontology/Artery
okay_annotation: http://dbpedia.org/ontology/AnatomicalStructure
csv: v17_487
col_name: col2
case_id: 1185
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       |
|:------------------------------------------------|:--------------------------|:-----------------------------|:-----------|
| West Bengal Legislative Assembly                | Gorkha Janmukti Morcha    | 15th Assembly                | 2016-05-16 |
| Washington State Senate                         | Majority Coalition Caucus | Washington State Legislature | 1997-01-15 |
| Victorian Legislative Council                   | Opposition                | 58th Parliament              | 2010-12-21 |
| Vermont Senate                                  | Vermont Progressive Party | Vermont General Assembly     | 2011-01-06 |
| Verkhovna Rada                                  | Opposition                | 8th Ukrainian Verkhovna Rada | 2016-04-14 |
| Uttar Pradesh Legislative Assembly              | Independent               | 16th Assembly                | 2012-04-13 |
| United States Senate                            | Democratic Party          | 114th United States Congress | 2009-01-20 |
| United States House of Representatives          | Democratic Party          | 114th United States Congress | 2015-10-29 |
| United States House Committee on Ways and Means | Democratic Party          | 114th United States Congress | 2015-11-05 |
| United States Congress                          | Democratic Party          | 114th United States Congress | 2009-01-20 |
| Tripura Legislative Assembly                    | Communist Party of India  | 11th Assembly                | 2013-03-15 |
| Texas House of Representatives                  | Independent               | Texas State Legislature      | 2009-01-13 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/Legislature
okay_annotation: http://dbpedia.org/ontology/Organisation
csv: v15_849
col_name: col0
case_id: 451
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       |
|:-------------------|:----------------|:------------------|:-----------|
| Delta Blues        | Dixieland Band  | Dance in the Dark | 2001-05-03 |
| Declaration of War | Rahy            | War Front         | 2009-04-29 |
| Debussy            | Singspiel       | Diesis            | 2006-02-26 |
| David Junior       | Irish River     | Pleasant Tap      | 2002-04-18 |
| Darlan             | Doyoun          | Milan             | 2007-03-11 |
| Dansili            | Kahyasi         | Danehill          | 1996-01-27 |
| Dank               | Darshaan        | Dansili           | 2009-03-06 |
| Danehill Dancer    | Sharpen Up      | Danehill          | 1993-01-20 |
| Dancing Maid       | Val de Loir     | Lyphard           | 1975-04-29 |
| Dancethruthedawn   | Danzig          | Mr. Prospector    | 1998-03-06 |
| Dance Partner      | Nijinsky        | Sunday Silence    | 1992-05-25 |
| Daliapour          | Doyoun          | Sadler's Wells    | 1996-03-10 |
| Dactylographer     | Ribot           | Secretariat       | 1975-04-21 |
| Curlin             | Deputy Minister | Smart Strike      | 2004-03-25 |
| Crystal Palace     | Sicambre        | Caro              | 1974-03-25 |
| Crowned Prince     | Royal Charger   | Raise A Native    | 1969-01-31 |
| Crowded House      | Woodman         | Rainbow Quest     | 2006-03-22 |
| Continent          | Kris            | Lake Coniston     | 1997-04-08 |
| Connaught Bridge   | Crepello        | Connaught         | 1976-05-02 |
| Comtesse de Loir   | Princequillo    | Val de Loir       | 1971-03-18 |
| Compton Admiral    | Mtoto           | Suave Dancer      | 1996-01-11 |
| Commendable        | In Reality      | Gone West         | 1997-04-13 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/RaceHorse
okay_annotation: http://dbpedia.org/ontology/Eukaryote http://dbpedia.org/ontology/Mammal http://dbpedia.org/ontology/Animal http://dbpedia.org/ontology/Horse http://dbpedia.org/ontology/Species
csv: v15_491
col_name: col0
case_id: 310
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                |
|:----------------------|:------------------------|:---------------------|:--------------------|
| Yolk sac              | Endoderm                | Yolk sac             | A10.615.284.981     |
| Vitelline duct        | Midgut                  | Vitelline+Duct       | A16.254.891         |
| Ultimopharyngeal body | Fourth pharyngeal pouch | Ultimobranchial+body | A13.939             |
| Somite                | Paraxial mesoderm       | Somites              | A16.254.425.660.750 |
| Paramesonephric duct  | Intermediate mesoderm   | Mullerian+Ducts      | A16.254.570         |
| Notochord             | Chordamesoderm          | Notochord            | A16.254.610         |
| Mesonephros           | Intermediate mesoderm   | Mesonephros          | A16.254.500         |
| Endoderm              | Hypoblast               | Endoderm             | A16.254.425.407     |
| Cloaca                | Endoderm                | Cloaca               | A13.223             |
| Blastocyst            | Morula                  | Blastocyst           | A16.254.085         |
| Allantois             | Yolk sac                | Allantois            | A10.615.284.147     |

Target entity column: col1



col_id: 1
label: http://dbpedia.org/ontology/Embryology
okay_annotation: http://dbpedia.org/ontology/AnatomicalStructure
csv: v17_173
col_name: col1
case_id: 1068
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       |
|:----------------|:-----------------|:----------------|:-----------------|:-------------------------------|:-----------|
| Triptych        | Hail To Reason   | Never Bend      | Trillion         | N. B. Hunt                     | 1982-04-19 |
| Surplice        | Priam            | Camel           | Crucifix         | L. G. Bentinck                 | 1845-01-21 |
| Surfside        | Seeking The Gold | Bold Reasoning  | Flanders         | O. Farm                        | 1997-01-21 |
| Summer Squall   | Secretariat      | Northern Dancer | Weekend Surprise | William Stamps Farish III      | 1987-03-12 |
| Sophisticat     | Rahy             | Storm Bird      | Serena's Song    | Robert and Beverly Lewis       | 1999-01-25 |
| So Factual      | Roberto          | In Reality      | Sookera          | J. Farms                       | 1990-03-04 |
| Singspiel       | Halo             | Sadler's Wells  | Glorious Song    | Mohammed bin Rashid Al Maktoum | 1992-02-25 |
| Secretariat     | Princequillo     | Nasrullah       | Somethingroyal   | C. Chenery                     | 1970-03-30 |
| Quiff           | Selkirk          | Northern Dancer | Wince            | J. Farms                       | 2001-03-02 |
| Prince of Dance | English Prince   | Northern Dancer | Sun Princess     | B. Stud                        | 1986-04-21 |

Target entity column: col2



col_id: 2
label: http://dbpedia.org/ontology/RaceHorse
okay_annotation: http://dbpedia.org/ontology/Eukaryote http://dbpedia.org/ontology/Mammal http://dbpedia.org/ontology/Animal http://dbpedia.org/ontology/Horse http://dbpedia.org/ontology/Species
csv: v18_782
col_name: col2
case_id: 1662
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 |
|:---------------------------|:---------------------------|:-------------------------|:------------------------|-------:|
| Popliteal artery           | Femoral artery             | Popliteal vein           | A07.231.114.681         |    632 |
| Ophthalmic artery          | Internal carotid artery    | Inferior ophthalmic vein | A07.231.114.622         |    568 |
| Middle colic artery        | Superior mesenteric artery | Middle colic vein        | 12153955                |    609 |
| Internal thoracic artery   | Subclavian artery          | Internal thoracic vein   | A07.231.114.891.525     |    583 |
| Internal iliac artery      | Common iliac artery        | Internal iliac vein      | A07.231.114.444         |    614 |
| Internal carotid artery    | Common carotid artery      | Internal jugular vein    | A07.231.114.186.200.230 |    566 |
| Inferior mesenteric artery | Abdominal aorta            | Inferior mesenteric vein | A07.231.114.565.510     |    609 |
| Femoral artery             | External iliac artery      | Femoral vein             | A07.231.114.351         |    623 |
| Ductus arteriosus          | Pulmonary artery           | Ductus venosus           | A07.541.278.395         |    540 |
| Common carotid artery      | Aortic arch                | Internal jugular vein    | A07.231.114.186.200     |    549 |
| Central retinal artery     | Ophthalmic artery          | Central retinal vein     | A07.231.114.765         |    571 |
| Brachiocephalic artery     | Aorta                      | Brachiocephalic vein     | A07.231.908.130         |    548 |
| Brachial artery            | Axillary artery            | Brachial vein            | A07.231.114.139         |    589 |
| Axillary artery            | Subclavian artery          | Axillary vein            | A07.231.114.085         |    586 |
| Aortic arch                | Ascending aorta            | Inferior vena cava       | A07.231.114.056.372.    |    547 |
| Anterior cerebral artery   | Internal carotid artery    | Cerebral veins           | A07.231.114.228.100     |    571 |
| Abdominal aorta            | Thoracic aorta             | Inferior vena cava       | A07.231.114.056.205     |    602 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/Artery
okay_annotation: http://dbpedia.org/ontology/AnatomicalStructure
csv: v18_497
col_name: col0
case_id: 1555