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       |
|:---------------|:-------------|:---------------|:-----------|
| R. Freisler    | M. Freisler  | O. Freisler    | 1893-10-30 |
| K. G. Sebelius | K. Sebelius  | J. J. Gilligan | 1949-11-08 |
| J. Iqbal       | N. Iqbal     | Y. Salahuddin  | 1924-10-05 |
| D. Ward        | A. Ward      | W. Ward        | 1827-07-09 |
| B. O'Keefe     | N. a. birth  | J. O'Keefe     | 1933-05-20 |
| A. Linden      | M. A. Linden | S. B. Linden   | 1934-10-07 |

Target entity column: col1



col_id: 1
label: http://dbpedia.org/ontology/Person
okay_annotation: nan
csv: v18_824
col_name: col1
case_id: 1674
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. Curley      | New York             | 1922-09-17 | 2016-06-02 |
| S. M. King     | Maine                | 1917-08-11 | 1988-01-20 |
| M. H. Jr.      | San Augustine, Texas | 1807-08-07 | 1856-06-05 |
| M. M. Hamilton | Iowa                 | 1896-1-1   | 1957-1-1   |
| M. L. Pinzón   | La Candelaria        | 1923-08-21 | 2013-07-16 |
| M. J. Tibbetts | Maine                | 1919-08-26 | 2010-04-25 |
| C. T. Manatt   | Washington, DC       | 1936-06-09 | 2011-07-22 |

Target entity column: col1



col_id: 1
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: v18_453
col_name: col1
case_id: 1524
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 |
|:-------------------------------|:-------------------------------|:----------------------|:------------------------|---------:|-------:|
| Deep artery of the thigh       | Perforating arteries           | Profunda femoris vein | Femoral artery          | 12155579 |    157 |
| Common palmar digital arteries | Proper palmar digital arteries | Palmar digital veins  | Superficial palmar arch | 12154127 |    152 |
| Common iliac artery            | External iliac artery          | Common iliac vein     | Abdominal aorta         | 12154545 |    155 |
| Common carotid artery          | External carotid artery        | Internal jugular vein | Brachiocephalic artery  | 12153659 |    143 |
| Brachiocephalic artery         | Common carotid artery          | Brachiocephalic vein  | Aorta                   | 12825973 |    142 |
| Axillary artery                | Brachial artery                | Axillary vein         | Subclavian artery       | 12153528 |    149 |
| Ascending aorta                | Left coronary artery           | Coronary sinus        | Left ventricle          | 12616312 |    142 |
| Aortic arch                    | Brachiocephalic artery         | Inferior vena cava    | Ascending aorta         | 12150514 |    142 |
| Anterior tibial artery         | Dorsalis pedis artery          | Anterior tibial vein  | Popliteal artery        | 12156393 |    160 |
| Anterior ethmoidal artery      | Anterior meningeal artery      | Ethmoidal veins       | Ophthalmic artery       | 12154250 |    146 |
| Abdominal aorta                | Inferior mesenteric artery     | Inferior vena cava    | Thoracic aorta          | 12616144 |    154 |

Target entity column: col2



col_id: 2
label: http://dbpedia.org/ontology/Vein
okay_annotation: http://dbpedia.org/ontology/AnatomicalStructure
csv: v16_554
col_name: col2
case_id: 862
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         |
|:--------------|:-----------|:------------------------|:-------------|
| R. Gutierrez  | S. Lahbati | Filipino people         | E. Gutierrez |
| M. Wing-Davey | A. Carey   | British nationality law | A. Wing      |
| M. Ek         | H. Klinga  | Sweden                  | A. Ek        |
| J. Rabaeus    | C. Thulin  | Sweden                  | B. Rabaeus   |
| G. Vidal      | H. Austen  | Americans               | E. L. Vidal  |
| E. Fox        | J. Gilley  | British nationality law | E. Fox       |
| C. Caillat    | J. Young   | United States           | K. Caillat   |

Target entity column: col3



col_id: 3
label: http://dbpedia.org/ontology/Person
okay_annotation: nan
csv: v15_534
col_name: col3
case_id: 352
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: col1



col_id: 1
label: http://dbpedia.org/ontology/Artery
okay_annotation: http://dbpedia.org/ontology/AnatomicalStructure
csv: v18_497
col_name: col1
case_id: 1556
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       |
|:--------------|:-----------------------------|:-----------------------------|:-----------|:-----------|:-----------|
| D. Cockell    | United Kingdom               | London Borough of Wandsworth | 1928-09-22 | 1928-09-22 | 1983-07-18 |
| D. McCaffrey  | Irish-American               | Pittsburgh, Pennsylvania     | 1863-09-24 | 1863-09-24 | 1926-12-29 |
| D. Kid        | Americans                    | Fulton, Missouri             | 1883-12-23 | 1883-12-23 | 1934-04-06 |
| D. Stanley    | United Kingdom               | England                      | 1876-02-28 | 1876-02-28 | 1919-03-07 |
| D. Turpin     | United Kingdom               | England                      | 1920-11-26 | 1920-11-26 | 1990-07-07 |
| D. Tiger      | Nigerian                     | Nigeria                      | 1929-08-14 | 1929-08-14 | 1971-12-14 |
| D. Richardson | Wales                        | Monmouthshire                | 1934-06-01 | 1934-06-01 | 1999-07-15 |
| D. Corbett    | England                      | Bethnal Green, London        | 1908-09-28 | 1908-09-28 | 1943-03-03 |
| D. Moyer      | Americans                    | Portland, Oregon             | 1939-08-08 | 1939-08-08 | 2010-06-30 |
| D. Powell     | Wales                        | Wales                        | 1924-12-12 | 1924-12-12 | 1993-05-27 |
| D. Adams      | Demographics of South Africa | Johannesburg                 | 1934-12-26 | 1934-12-26 | 1971-01-14 |
| D. Fontaine   | Canada                       | Canada                       | 1904-02-22 | 1904-02-22 | 1935-10-29 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/Boxer
okay_annotation: http://dbpedia.org/ontology/Person http://dbpedia.org/ontology/Athlete
csv: v16_710
col_name: col0
case_id: 941
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: col0



col_id: 0
label: http://dbpedia.org/ontology/DartsPlayer
okay_annotation: http://dbpedia.org/ontology/Person http://dbpedia.org/ontology/Athlete
csv: v18_132
col_name: col0
case_id: 1422
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 |
|:-------------------------------|:--------------|:----------|-------:|
| Wired                          | L. Rossetto   | 1059-1028 | 851823 |
| Vibe                           | A. Light      | 1070-4701 | 301408 |
| Uncut                          | A. Jones      | 1368-0722 |  47890 |
| The State of Australia's Birds | P. Olsen      | 1036-7810 |   8000 |
| The Railway Magazine           | G. A. Nokes   | 0033-8923 |   2015 |
| The Nation                     | N. Thomas     | 0027-8378 | 103478 |
| The Hockey News                | B. McKenzie   | 0018-3016 | 100058 |
| The Classic Motor Cycle        | B. Currie     | 0263-0850 |  78993 |
| Teraz Rock                     | T. Rock       | 1730-394X |  40000 |
| Sunt Förnuft                   | S. Nordin     | 0039-5455 |  43500 |
| Shonen Jump                    | J. Thompson   | 1545-7818 | 215000 |
| Shojo Beat                     | M. Weidenbaum | 1932-1600 |  38000 |
| Shift                          | E. Solomon    | 1188-973X | 150000 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/Magazine
okay_annotation: http://dbpedia.org/ontology/WrittenWork http://dbpedia.org/ontology/PeriodicalLiterature http://dbpedia.org/ontology/Work
csv: v17_950
col_name: col0
case_id: 1355
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       |
|:------------|:----------------------------|:-----------|:-----------|
| T. Iwami    | Kyoto University            | 2014-01-18 | 1935-10-06 |
| R. Drummond | Syracuse University         | 1983-09-30 | 1902-01-13 |
| M. Davidson | Lancing College             | 1976-1-1   | 1897-1-1   |
| J. W. Dafoe | Arnprior, Ontario           | 1944-01-10 | 1866-03-08 |
| J. Perry    | Marischal College, Aberdeen | 1821-12-04 | 1756-10-30 |
| I. Bell     | University of Edinburgh     | 2015-12-10 | 1956-01-07 |
| D. Johnston | Cornell University          | 2008-11-06 | 1919-06-11 |
| C. Jennings | University of Toronto       | 1973-1-1   | 1908-1-1   |
| A. Dunnett  | Hillhead High School        | 1998-09-02 | 1908-12-26 |

Target entity column: col1



col_id: 1
label: http://dbpedia.org/ontology/University
okay_annotation: http://dbpedia.org/ontology/Organisation http://dbpedia.org/ontology/EducationalInstitution
csv: v17_891
col_name: col1
case_id: 1333
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 |
|:-------------------------------|:-------------------------------|:----------------------|:------------------------|---------:|-------:|
| Deep artery of the thigh       | Perforating arteries           | Profunda femoris vein | Femoral artery          | 12155579 |    157 |
| Common palmar digital arteries | Proper palmar digital arteries | Palmar digital veins  | Superficial palmar arch | 12154127 |    152 |
| Common iliac artery            | External iliac artery          | Common iliac vein     | Abdominal aorta         | 12154545 |    155 |
| Common carotid artery          | External carotid artery        | Internal jugular vein | Brachiocephalic artery  | 12153659 |    143 |
| Brachiocephalic artery         | Common carotid artery          | Brachiocephalic vein  | Aorta                   | 12825973 |    142 |
| Axillary artery                | Brachial artery                | Axillary vein         | Subclavian artery       | 12153528 |    149 |
| Ascending aorta                | Left coronary artery           | Coronary sinus        | Left ventricle          | 12616312 |    142 |
| Aortic arch                    | Brachiocephalic artery         | Inferior vena cava    | Ascending aorta         | 12150514 |    142 |
| Anterior tibial artery         | Dorsalis pedis artery          | Anterior tibial vein  | Popliteal artery        | 12156393 |    160 |
| Anterior ethmoidal artery      | Anterior meningeal artery      | Ethmoidal veins       | Ophthalmic artery       | 12154250 |    146 |
| Abdominal aorta                | Inferior mesenteric artery     | Inferior vena cava    | Thoracic aorta          | 12616144 |    154 |

Target entity column: col1



col_id: 1
label: http://dbpedia.org/ontology/Artery
okay_annotation: http://dbpedia.org/ontology/AnatomicalStructure
csv: v16_554
col_name: col1
case_id: 861
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                     |
|:--------------|:--------------------|:-------------------------|:-------------------------|
| F. F. Coppola | Detroit             | New York                 | C. Coppola               |
| E. Roberts    | Mississippi         | Atlanta                  | B. L. Bredemus           |
| E. Iglesias   | Madrid              | Madrid                   | J. Iglesias              |
| E. Z. Jr.     | New York            | New York City            | E. Zimbalist             |
| E. B. Jr.     | California          | Sherman Oaks, California | E. Begley                |
| D. Cassidy    | New York            | New Jersey               | J. Cassidy               |
| C. Bleu       | Brooklyn            | Los Angeles, California  | D. Reivers               |
| C. Reeve      | New York City       | Princeton, New Jersey    | Married and maiden names |
| C. Bono       | California          | California               | Cher                     |
| B. Spears     | McComb, Mississippi | Kentwood, Louisiana      | L. Spears                |
| B. Norwood    | McComb, Mississippi | California               | W. Norwood               |
| B. Marley     | Jamaica             | Jamaica                  | C. Booker                |
| A. Franklin   | Memphis, Tennessee  | Detroit, Michigan        | C. L. Franklin           |
| A. Allen      | Hammersmith         | Islington                | K. Allen                 |
| A. Alda       | New York            | Chicago                  | R. Alda                  |
| A. Elliott    | New York            | Wilton, Connecticut      | C. Elliott               |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/Person
okay_annotation: nan
csv: v16_559
col_name: col0
case_id: 869
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 |
|:---------------------|-------:|-------:|-------:|-------:|
| Cerulean             |    196 |      0 |    167 |    123 |
| Cerise               |    343 |    222 |     99 |     49 |
| Carnelian            |      0 |    179 |     27 |     27 |
| Carmine              |    350 |    150 |     24 |      0 |
| Cardinal             |    350 |    196 |     58 |     30 |
| Capri                |    195 |      0 |    255 |    191 |
| Candy apple red      |      2 |    255 |      0 |      8 |
| Camel                |     33 |    193 |    107 |    154 |
| Cadet grey           |    205 |    145 |    176 |    163 |
| Byzantium            |    311 |    112 |     99 |     41 |
| Burgundy             |    347 |    144 |     32 |      0 |
| Buff                 |     49 |    240 |    130 |    220 |
| Brown                |     30 |    150 |      0 |     75 |
| Bronze               |     30 |    205 |     50 |    127 |
| British racing green |    153 |      1 |     37 |     66 |
| Bole                 |      9 |    121 |     59 |     68 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/Colour
okay_annotation: nan
csv: v16_60
col_name: col0
case_id: 522
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 |
|:------------------------------------------|:-------|:-------|-------:|:-------------------------|-------:|
| Pituitary stalk                           | hier   | i_08   |    813 | Pituitary+Stalk          |    189 |
| Periaqueductal gray                       | hier   | s_27   |    806 | Periaqueductal+Gray      |    188 |
| Nucleus basalis of Meynert                | hier   | n_11   |    813 | Basal+nucleus+of+Meynert |    189 |
| Metencephalon                             | hier   | m_12   |    785 | Metencephalon            |    187 |
| Mesencephalic nucleus of trigeminal nerve | hier   | n_11   |    787 | Trigeminal+nuclei        |    187 |
| Medulla oblongata                         | hier   | m_06   |    767 | Medulla+Oblongata        |    187 |
| Hindbrain                                 | hier   | r_12   |    767 | Rhombencephalon          |    186 |
| Diagonal band of Broca                    | hier   | s_26   |    868 | Diagonal+Band+of+Broca   |    191 |
| Cerebral peduncle                         | hier   | p_10   |    800 | Cerebral+Peduncle        |    188 |
| Arachnoid mater                           | ancil  | a_56   |    876 | Arachnoid                |    193 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/Brain
okay_annotation: http://dbpedia.org/ontology/AnatomicalStructure
csv: v17_697
col_name: col0
case_id: 1245
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       |
|:---------------------|:-----------|:-----------|:-----------|
| F. Freeling          | 1764-8-25  | 1836-7-10  | 1764-8-25  |
| F. Champneys         | 1848-3-25  | 1930-2-4   | 1848-3-25  |
| F. Dalberg-Acton     | 1801-7-24  | 1837-1-31  | 1801-7-24  |
| E. M. Harvey         | 1867-0-0   | 1955-0-0   | 1867-0-0   |
| E. Craig             | 1859-0-0   | 1933-4-9   | 1859-0-0   |
| E. Ohlson            | 1873-7-19  | 1934-3-20  | 1873-7-19  |
| E. d. Bouverie       | 1690-0-0   | 1736-11-21 | 1690-0-0   |
| E. Manningham-Buller | 1800-7-19  | 1882-9-22  | 1800-7-19  |
| E. M. Edgar          | 1876-2-27  | 1934-10-7  | 1876-2-27  |
| E. Irby              | 1676-7-31  | 1718-11-11 | 1676-7-31  |
| E. Findlay           | 1902-6-14  | 1962-9-6   | 1902-6-14  |
| C. Ackroyd           | 1892-9-4   | 1973-4-11  | 1892-9-4   |
| C. Ebrahim           | 1840-10-21 | 1924-9-26  | 1840-10-21 |
| C. Cory-Wright       | 1838-8-11  | 1909-5-30  | 1838-8-11  |
| C. Renshaw           | 1848-12-9  | 1918-3-6   | 1848-12-9  |
| C. Jessel            | 1860-5-11  | 1928-7-15  | 1860-5-11  |
| C. Gladstone         | 1888-10-28 | 1968-4-28  | 1888-10-28 |
| C. C. Lloyd          | 1706-1-1   | 1729-2-25  | 1706-1-1   |
| B. Beauchamp         | 1897-5-5   | 1976-8-25  | 1897-5-5   |
| B. Waley-Cohen       | 1914-5-29  | 1991-7-3   | 1914-5-29  |
| A. Cayzer            | 1876-1-21  | 1943-2-28  | 1876-1-21  |
| A. Cory-Wright       | 1869-11-18 | 1951-4-21  | 1869-11-18 |
| A. Birkmyre          | 1875-0-0   | 1935-6-24  | 1875-0-0   |
| A. G. Acland         | 1916-8-17  | 1983-12-14 | 1916-8-17  |
| A. Aucher            | 1614-1-1   | 1692-5-31  | 1614-1-1   |
| A. Lauder            | 1702-5-8   | 1769-3-6   | 1702-5-8   |
| A. Armstrong         | 1786-10-19 | 1863-1-27  | 1786-10-19 |
| A. Erskine-Hill      | 1894-4-3   | 1947-6-6   | 1894-4-3   |
| A. Janssen           | 1699-0-0   | 1765-0-0   | 1699-0-0   |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/Baronet
okay_annotation: http://dbpedia.org/ontology/Person http://dbpedia.org/ontology/Royalty http://dbpedia.org/ontology/BritishRoyalty
csv: v18_652
col_name: col0
case_id: 1595
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 |
|:-----------------|-------:|-------:|-------:|-------:|-------:|
| Aqua             |    100 |    255 |    255 |    100 |    100 |
| Apricot          |      0 |    206 |    177 |     30 |     98 |
| Android green    |     17 |    198 |     57 |     71 |     78 |
| Amber            |      0 |    191 |      0 |    100 |    100 |
| Amaranth         |      0 |    156 |    187 |     35 |     95 |
| Alizarin crimson |      0 |     38 |     54 |     83 |     89 |
| Alice blue       |      6 |    248 |    255 |      6 |    100 |
| Acid green       |      8 |    191 |     26 |     86 |     75 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/Colour
okay_annotation: nan
csv: v18_39
col_name: col0
case_id: 1381
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            |
|:--------------|:----------------|:--------------------------|:----------------|
| E. Montgomery | M. Allen        | California                | R. Montgomery   |
| E. D. Filippo | P. D. Filippo   | Italy                     | E. Scarpetta    |
| D. Dunne      | G. Dunne        | California                | D. Dunne        |
| D. Barrymore  | E. Barrymore    | New York                  | J. Barrymore    |
| D. Nelson     | R. Nelson       | Century City, Los Angeles | O. Nelson       |
| D. Gorcey     | L. Gorcey       | California                | B. Gorcey       |
| D. Carradine  | K. Carradine    | Bangkok                   | J. Carradine    |
| D. W. Smith   | D. Birkhead     | Nassau, Bahamas           | A. N. Smith     |
| D. Snow       | D. L. George    | London                    | P. Snow         |
| C. Penn       | M. Penn         | Santa Monica, California  | L. Penn         |
| C. Marx       | G. Marx         | Hollywood                 | M. Marx         |
| C. Hamilton   | E. Hamilton     | Los Angeles               | C. Burnett      |
| B. K. Brown   | D. Warwick      | Duluth, Georgia           | W. Houston      |
| B. Lehmann    | J. Lehmann      | England                   | R. C. Lehmann   |
| B. Straight   | M. W. Straight  | California                | D. P. Whitney   |
| B. Bennett    | C. Bennett      | Montreal                  | R. Bennett      |
| A. Hussain    | Nargis          | India                     | Jaddanbai       |
| A. Ainley     | R. Ainley       | England                   | H. Ainley       |
| A. Arquette   | D. Arquette     | Beverly Hills, California | L. Arquette     |
| A. Kramm      | A. Egede-Nissen | Norway                    | A. Egede-Nissen |

Target entity column: col1



col_id: 1
label: http://dbpedia.org/ontology/Person
okay_annotation: nan
csv: v17_325
col_name: col1
case_id: 1120
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. Reed          | J. Kerr        | C. Reed           | K. Muramoto     | 1989-7-7   |
| C. Denney        | J. Zimmerman   | J. Barrett        | J. Coughlin     | 1993-6-22  |
| C. Yankowskas    | M. Zueva       | J. Coughlin       | H. Gaman        | 1990-5-6   |
| B. Massot        | I. Steuer      | D. Popova         | A. Savchenko    | 1989-1-28  |
| B. Jones         | K. Wirtz       | I. Beharry        | J. Reagan       | 1996-1-18  |
| B. Silná         | B. Fusar-Poli  | D. Matsjuk        | J. Kurakin      | 1989-1-8   |
| A. Cherniavskaia | A. Ushakova    | A. Souza-Kordeyru | E. Krasnopolski | 1998-12-29 |
| A. Sikharulidze  | N. Velikov     | M. Petrova        | E. Berezhnaya   | 1976-10-25 |
| A. Cappellini    | I. Shpilband   | M. Zanni          | L. Lanotte      | 1987-2-19  |
| A. Cannuscio     | A. Kirsanov    | D. Copely         | C. McManus      | 1992-7-1   |
| A. Langlois      | D. Leigh       | P. Archetto       | C. Hay          | 1981-7-21  |
| A. Uçar          | A. Zhulin      | J. Maitz          | A. Agafonova    | 1985-1-19  |
| A. Agafonova     | M. Zueva       | D. Dun            | A. Uçar         | 1991-1-15  |
| A. Savchenko     | I. Steuer      | R. Szolkowy       | B. Massot       | 1984-1-19  |
| A. Tikhonov      | L. Velikova    | Y. Kawasaki       | M. Petrova      | 1971-11-1  |
| A. Rogonov       | N. Pavlova     | A. Martiusheva    | K. Astakhova    | 1988-6-6   |
| A. Aldridge      | M. Zueva       | D. Eaton          | M. Blackmer     | 1994-5-7   |
| A. Zaboev        | S. Todorov     | N. Zabijako       | N. Takahashi    | 1989-9-1   |
| A. Smirnov       | N. Velikov     | E. Vasilieva      | Y. Kavaguti     | 1984-10-11 |
| A. Enbert        | A. Dmitriev    | V. Davankova      | N. Zabijako     | 1989-4-17  |
| A. Kido          | G. Karponossov | N. Tsuzuki        | N. Watanabe     | 1975-8-28  |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/FigureSkater
okay_annotation: http://dbpedia.org/ontology/Person http://dbpedia.org/ontology/Athlete http://dbpedia.org/ontology/WinterSportPlayer
csv: v16_225
col_name: col0
case_id: 621
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 |
|:------------------------------------|:------------------------|:--------------------------|:-------------------------------|-------:|
| Deep artery of the thigh            | Femoral artery          | Profunda femoris vein     | Perforating arteries           |    629 |
| Common palmar digital arteries      | Superficial palmar arch | Palmar digital veins      | Proper palmar digital arteries |    598 |
| Common iliac artery                 | Abdominal aorta         | Common iliac vein         | External iliac artery          |    613 |
| Common carotid artery               | Brachiocephalic artery  | Internal jugular vein     | External carotid artery        |    549 |
| Brachiocephalic artery              | Aorta                   | Brachiocephalic vein      | Common carotid artery          |    548 |
| Brachial artery                     | Axillary artery         | Brachial vein             | Radial artery                  |    589 |
| Axillary artery                     | Subclavian artery       | Axillary vein             | Brachial artery                |    586 |
| Ascending aorta                     | Left ventricle          | Coronary sinus            | Left coronary artery           |    545 |
| Aortic bifurcation                  | Abdominal aorta         | Inferior vena cava        | Common iliac arteries          |    613 |
| Aortic arch                         | Ascending aorta         | Inferior vena cava        | Brachiocephalic artery         |    547 |
| Anterior tibial artery              | Popliteal artery        | Anterior tibial vein      | Dorsalis pedis artery          |    634 |
| Anterior inferior cerebellar artery | Basilar artery          | Inferior cerebellar veins | Labyrinthine artery            |    580 |
| Anterior ethmoidal artery           | Ophthalmic artery       | Ethmoidal veins           | Anterior meningeal artery      |    570 |
| Abdominal aorta                     | Thoracic aorta          | Inferior vena cava        | Inferior mesenteric artery     |    602 |

Target entity column: col3



col_id: 3
label: http://dbpedia.org/ontology/Artery
okay_annotation: http://dbpedia.org/ontology/AnatomicalStructure
csv: v17_535
col_name: col3
case_id: 1206
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                                |
|:-----------------------------------------|:--------------|-------:|---------:|:------------------------------------|
| Ventromedial nucleus of the hypothalamus | Hypothalamus  |    381 | 12584102 | A08.186.211.730.385.357.352.953     |
| Subthalamic nucleus                      | Basal ganglia |    418 | 14166739 | A08.186.211.730.385.800.800         |
| Pulvinar nuclei                          | Thalamus      |    311 | 12680162 | A08.186.211.730.385.826.701.485.600 |
| Nucleus accumbens                        | Basal ganglia |    259 | 12580142 | A08.186.211.730.885.105.683         |
| Medulla oblongata                        | Brain stem    |    695 | 12519731 | A08.186.211.132.810.406             |
| Brainstem                                | Brain         |    218 | 12195821 | A08.186.211.132                     |
| Basal ganglia                            | Cerebrum      |    206 | 12580456 | A08.186.211.730.885.105             |
| Arcuate nucleus                          | Hypothalamus  |    378 | 12580380 | A08.186.211.730.385.357.352.081     |
| Arachnoid mater                          | Meninges      |    561 | 12149123 | A08.186.566.166                     |

Target entity column: col1



col_id: 1
label: http://dbpedia.org/ontology/Brain
okay_annotation: http://dbpedia.org/ontology/AnatomicalStructure
csv: v17_698
col_name: col1
case_id: 1247
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 |
|:-------------|:----------------------|:----------------------|:-----------|-------:|
| É. Parent    | Ottawa                | Quebec City           | 1802-05-02 |   1874 |
| T. W. Kent   | Ottawa                | England               | 1922-04-03 |   2011 |
| R. Picardie  | Lambeth               | England               | 1964-05-01 |   1997 |
| R. Drummond  | Princeton, New Jersey | Theresa, New York     | 1902-01-13 |   1983 |
| R. Reguly    | Ontario               | Fort William, Ontario | 1931-01-19 |   2011 |
| R. Buckle    | Salisbury             | Warcop                | 1916-08-06 |   2001 |
| Q. Crewe     | Oxfordshire           | London                | 1926-11-14 |   1998 |
| M. Dunnell   | Canada                | Canada                | 1905-12-24 |   2008 |
| L. Doxat     | England               | India                 | 1778-1-1   |   1871 |
| K. Macintyre | Glasgow               | Oban                  | 1944-07-19 |   1999 |

Target entity column: col2



col_id: 2
label: http://dbpedia.org/ontology/Country
okay_annotation: http://dbpedia.org/ontology/AdministrativeRegion http://dbpedia.org/ontology/Place http://dbpedia.org/ontology/PopulatedPlace http://dbpedia.org/ontology/Region http://dbpedia.org/ontology/Location
csv: v17_893
col_name: col2
case_id: 1336
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 |
|:-------------------------|:-----------------|:----------|--------:|
| Self                     | L. Danziger      | 0149-0699 | 1492959 |
| Scribner's Magazine      | R. Bridges       | 2152-792X |   70000 |
| Saturday Review          | N. Cousins       | 0036-4983 |  660000 |
| SFX                      | M. Bielby        | 1749-6969 |   25835 |
| RIBA Journal             | P. Murray        | 0953-6973 |   27580 |
| Procycling               | W. Fotheringham  | 1465-7198 |   54000 |
| Poetry                   | H. Carruth       | 0032-2032 |   30000 |
| Oxford Poetry            | A. Mitchell      | 1465-6213 |    2000 |
| Overland                 | J. Sparrow       | 0030-7416 |    2000 |
| OutServe Magazine        | N. Frank         | 2161-3370 |  250000 |
| NME                      | K. Murison       | 0028-6362 |   15384 |
| Moment                   | L. Fein          | 0099-0280 |   65000 |
| Men's Health             | G. Gutfeld       | 1054-4836 | 1819151 |
| Life                     | R. E. Sherwood   | 0024-3019 |  250000 |
| Jazz Forum               | J. A. Byrczek    | 0021-5635 |    8000 |
| Fortean Times            | B. Rickard       | 0308-5899 |   14320 |
| Finanztest               | H. Primus        | 0939-1614 |  251020 |
| Ebony                    | B. Monroe        | 0012-9011 | 1271145 |
| Down East                | P. Doiron        | 0012-5776 |   91564 |
| Das Gedicht              | M. Politycki     | 0943-0776 |    3000 |
| Commodore Format         | S. Jarratt       | 0960-5169 |   25063 |
| Canadian Art             | R. Rhodes        | 0825-3854 |   19094 |
| Balarama                 | N. M. Mohanan    | 0975-0339 |  877000 |
| Artes                    | Ö. Sjöstrand     | 0345-0015 |    1500 |
| Armed Forces Journal     | J. C. O'Laughlin | 0196-3597 |   27000 |
| Amiga Format             | S. Jarratt       | 0957-4867 |  161256 |
| American Literary Review | S. Cairns        | 1051-5062 |    1200 |
| America                  | T. J. Reese      | 0002-7049 |   45000 |

Target entity column: col1



col_id: 1
label: http://dbpedia.org/ontology/Person
okay_annotation: nan
csv: v17_951
col_name: col1
case_id: 1358
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                                 |
|:---------------|:--------------|:------------------------|:-------------------------------------|
| S. Frangén     | R. Meriläinen | Finnish people          | Simo Juhani Frangén                  |
| R. Pryor       | D. McGuire    | Americans               | Richard Franklin Lennox Thomas Pryor |
| P. Oldring     | S. Erikson    | Canadian                | Peter James Edward Oldring           |
| P. Merton      | C. Quentin    | British people          | Paul James Martin                    |
| M. Kasher      | N. Leggero    | United States           | Mark Moshe Kasher                    |
| M. Sahl        | C. Lee        | Americans               | Morton Lyon Sahl                     |
| M. Mira        | D. Shafrir    | United States           | Matthew Paul Mira                    |
| M. Mull        | W. Haas       | United States           | Martin Eugene Mull                   |
| J. Saunders    | A. Edmondson  | England                 | Jennifer Jane Saunders               |
| H. Lloyd       | M. Davis      | United States           | Harold Clayton Lloyd                 |
| D. Harron      | V. Leith      | Canadians               | Donald Hugh Harron                   |
| C. Mochrie     | D. McGrath    | Canadian                | Colin Andrew Mochrie                 |
| C. Reiner      | E. Reiner     | Americans               | CarltonReiner                        |
| B. Connolly    | P. Stephenson | Scottish people         | William Connolly                     |
| A. Buenafuente | S. Abril      | Spain                   | Andreu Buenafuente Moreno            |
| A. Edmondson   | J. Saunders   | British nationality law | Adrian Charles Edmondson             |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/Comedian
okay_annotation: http://dbpedia.org/ontology/Person http://dbpedia.org/ontology/Artist
csv: v16_66
col_name: col0
case_id: 527