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       |
|:--------------|-------:|:-----------|:-----------|
| USS Truant    |      5 | 1892-08-24 | 1941-07-16 |
| USS Trout     |      8 | 1951-08-21 | 1952-06-27 |
| USS Trousdale |     19 | 1944-07-03 | 1944-12-21 |
| USS Troilus   |     17 | 1945-05-11 | 1945-06-08 |
| USS Triton    |      8 | 1940-03-25 | 1940-08-15 |
| USS Trippe    |     10 | 1938-05-14 | 1939-11-01 |
| USS Trippe    |      8 | 1910-12-20 | 1911-03-23 |
| USS Tripoli   |     25 | 1965-07-31 | 1966-08-06 |
| USS Tringa    |     12 | 1946-06-25 | 1947-01-28 |
| USS Trigger   |      8 | 1951-06-14 | 1952-03-31 |
| USS Trigger   |      8 | 1941-10-22 | 1942-01-31 |
| USS Triana    |     17 | 1944-01-24 | 1945-05-24 |
| USS Trever    |      9 | 1920-09-15 | 1922-08-03 |
| USS Trepang   |      8 | 1944-03-23 | 1944-05-22 |

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: v15_551
col_name: col0
case_id: 360
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: col1



col_id: 1
label: http://dbpedia.org/ontology/Person
okay_annotation: nan
csv: v16_66
col_name: col1
case_id: 528
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. Khamis    | Al-Wasl                                    | Dubai                | 1982-07-23 |
| W. Foulke    | Chelsea F.C.                               | Shropshire           | 1874-04-12 |
| T. Revill    | Stoke City F.C.                            | England              | 1892-5-9   |
| S. McMillan  | Chelsea F.C.                               | Leicester            | 1896-09-17 |
| S. James     | KK Budućnost Podgorica                     | Brooklyn             | 1983-09-10 |
| R. Rolls     | New Zealand women's national football team | New Zealand          | 1975-08-22 |
| R. Al-Zaabi  | Al-Wasl                                    | Abu Dhabi            | 1988-10-19 |
| N. Cantwell  | Manchester United F.C.                     | Cork                 | 1932-02-28 |
| M. Coop      | Coventry City F.C.                         | England              | 1948-07-10 |
| K. Taylor    | Huddersfield Town A.F.C.                   | England cricket team | 1935-08-21 |
| K. Hough     | Australia national football team           | Australia            | 1928-10-24 |
| J. Mohamed   | Al-Wasl                                    | England              | 1988-11-24 |
| G. Bilby     | New Zealand national football team         | New Zealand          | 1941-05-07 |
| G. Brice     | Fulham F.C.                                | Bedford              | 1924-05-04 |
| G. Brann     | England national football team             | Eastbourne           | 1865-04-23 |
| F. Gardner   | Birmingham City F.C.                       | Coventry             | 1922-06-04 |
| F. Guttridge | Nottingham Forest F.C.                     | Nottingham           | 1866-04-12 |
| E. Burgin    | Sheffield United F.C.                      | Pitsmoor             | 1924-01-04 |
| D. Oakes     | Coventry City F.C.                         | Warwickshire         | 1946-04-10 |
| A. Holt      | Southampton F.C.                           | Southampton          | 1911-04-08 |

Target entity column: col1



col_id: 1
label: http://dbpedia.org/ontology/SoccerClub
okay_annotation: http://dbpedia.org/ontology/SportsTeam http://dbpedia.org/ontology/Organisation
csv: v15_78
col_name: col1
case_id: 31
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: 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: v15_491
col_name: col2
case_id: 312
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. Carter     | Christiansted, U.S. Virgin Islands | 1990-0-0   | Carolyn Whitney Carter           | Brown    |
| C. Dementiev  | Panama                             | 1989-02-01 | Carolina Dementiev Justavino     | Brunette |
| C. Barraza    | Kosovo                             | 1995-08-26 | Camila Alejandra Barraza         | Black    |
| B. Koehler    | Puerto Rico                        | 1992-09-30 | Bodine Koehler Peña              | Brown    |
| B. Guidotti   | Philippines                        | 1989-09-05 | Mary Anne Bianca Garcia Guidotti | Black    |
| B. Charles    | Bonaire                            | 1992-07-09 | Benazir Berends Charles          | Brown    |
| B. Santiago   | Philippines                        | 1990-02-17 | Bea Rose Monterde Santiago       | Black    |
| A. Akın       | Constantinople                     | 1981-12-08 | Azra Akın                        | Brown    |
| A. Bhat       | Bhadravati, Karnataka              | 1992-09-05 | Asha Bhat                        | Black    |
| A. Krasniqi   | Kosovo                             | 1992-0-0   | Artnesa Krasniqi                 | Blonde   |
| A. Gutiérrez  | Barranquilla                       | 1993-12-25 | Ariadna María Gutiérrez Arévalo  | Auburn   |
| A. Ong        | Manila                             | 1990-06-27 | Angelia Gabrena Ong              | Black    |
| A. Suárez     | Ecuador                            | 1987-01-13 | Andrea Ivonne Suárez Melgar      | Brown    |
| A. Dagi       | Austria                            | 1995-02-12 | Amina Mirzakhanova               | Brown    |
| A. Campanella | New Jersey                         | 1990-03-21 | Alyssa Marie Campanella          | Red      |
| A. Yamoah     | Alberta                            | 1986-11-21 | Adwoa Yamoah                     | Black    |

Target entity column: col1



col_id: 1
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: v18_611
col_name: col1
case_id: 1588
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       |
|:---------------|:------------------------------------------|:-----------|:-----------|
| P. Cregan      | New York Giants                           | 1875-04-13 | 1945-05-18 |
| P. Cote        | New York Giants                           | 1902-08-30 | 1987-10-17 |
| P. Coscarart   | Brooklyn Dodgers                          | 1913-06-16 | 2002-07-24 |
| P. Conway      | Buffalo Bisons                            | 1866-10-30 | 1903-01-13 |
| P. Compton     | St. Louis Browns                          | 1889-09-28 | 1978-02-03 |
| P. Childs      | St. Louis Cardinals                       | 1871-11-15 | 1922-02-15 |
| P. Center      | Cleveland Indians                         | 1912-04-22 | 2004-08-08 |
| P. Castiglione | Pittsburgh Pirates                        | 1921-02-13 | 2010-04-22 |
| P. Cassidy     | Louisville Colonels                       | 1873-04-08 | 1929-07-09 |
| P. Appleton    | Cincinnati Reds                           | 1904-05-20 | 1974-01-18 |
| P. Allen       | Cleveland Spiders                         | 1868-05-01 | 1946-04-16 |
| P. Werden      | St. Louis Maroons / Indianapolis Hoosiers | 1865-07-21 | 1934-01-09 |
| P. Currin      | St. Louis Browns                          | 1928-09-27 | 2011-01-17 |
| P. Jones       | Chicago Cubs                              | 1899-10-28 | 1979-03-18 |
| P. Coleman     | St. Louis Browns                          | 1876-1-1   | 1948-02-16 |
| P. Martin      | St. Louis Cardinals                       | 1904-02-29 | 1965-03-05 |
| P. Daniels     | Detroit Stars                             | 1902-08-20 | 1978-09-25 |
| P. Bassett     | New Orleans Crescent Stars                | 1910-08-05 | 1980-12-28 |
| P. Young       | Pittsburgh Pirates                        | 1907-08-29 | 1962-01-14 |
| P. Rambert     | Pittsburgh Pirates                        | 1916-08-01 | 1974-11-16 |
| P. Goodwin     | Kansas City Packers                       | 1891-12-19 | 1972-02-15 |
| P. Deininger   | Boston Americans                          | 1877-10-10 | 1950-09-25 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/BaseballPlayer
okay_annotation: http://dbpedia.org/ontology/Person http://dbpedia.org/ontology/Athlete
csv: v16_629
col_name: col0
case_id: 916
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      |
|:---------------------|:----------|:-----------|:----------|
| G. Cornewall         | 1869-5-7  | 1951-1-21  | 1869-5-7  |
| F. Milner            | 1849-11-7 | 1931-6-8   | 1849-11-7 |
| F. Sanderson         | 1880-1-1  | 1965-7-18  | 1880-1-1  |
| 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 |

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: v15_576
col_name: col0
case_id: 377
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 |
|:----------------------------------|:-----------|-------------:|-------:|
| Brazilian ironclad Rio de Janeiro | 1865-06-28 |    871000000 |      2 |
| Brazilian ironclad Barroso        | 1865-02-21 |    980000000 |      2 |
| Brazilian battleship Minas Geraes | 1907-04-17 |  19281000000 |      7 |
| Batillus                          | 1975-05-18 | 663000000000 |     28 |
| BIO Hesperides                    | 1988-11-14 |   1983000000 |      4 |
| BAP Unión                         | 2012-12-08 |   3200000000 |      6 |
| BAP Pisagua                       | 1978-08-15 |   1285000000 |      5 |
| BAP Islay                         | 1971-03-15 |   1285000000 |      5 |
| BAP Chipana                       | 1978-11-01 |   1285000000 |      5 |
| BAP Arica                         | 1971-10-01 |   1285000000 |      5 |
| BAP Angamos                       | 1977-07-15 |   1285000000 |      5 |

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: v15_879
col_name: col0
case_id: 461
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       |
|:-------------|:------------|:--------------------|:-------------------------|:-----------|:-----------|
| V. Wood      | G. Durham   | Lancashire          | London                   | 1953-05-19 | 2016-04-20 |
| R. Pryor     | D. McGuire  | Peoria, Illinois    | California               | 1940-12-01 | 2005-12-10 |
| P. Silvers   | J. Dennison | Brooklyn            | California               | 1911-05-11 | 1985-11-01 |
| L. Weinstock | D. Jove     | Pennsylvania        | California               | 1943-0-0   | 1997-08-31 |
| L. Bruce     | H. Harlow   | Mineola, New York   | Hollywood                | 1925-10-13 | 1966-08-03 |
| H. Einstein  | T. Leeds    | Boston              | Los Angeles, California  | 1904-05-06 | 1958-11-23 |
| H. Lloyd     | M. Davis    | United States       | California               | 1893-04-20 | 1971-03-08 |
| G. Marx      | E. Hartford | New York            | California               | 1890-10-02 | 1977-08-19 |
| E. Kovacs    | E. Adams    | Trenton, New Jersey | California               | 1919-01-23 | 1962-01-13 |
| D. Harron    | V. Leith    | Ontario             | Ontario                  | 1924-09-19 | 2015-01-17 |
| D. Martin    | D. Read     | United States       | Santa Monica, California | 1922-01-30 | 2008-05-24 |

Target entity column: col2



col_id: 2
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_41
col_name: col2
case_id: 1384
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       |
|:-----------------------------|:--------------------|:-----------|:-----------|
| Conel Hugh O'Donel Alexander | Cork                | 1909-04-19 | 1974-02-15 |
| C. Ranken                    | Brislington         | 1828-01-05 | 1905-04-12 |
| C. Purdy                     | Egypt               | 1906-03-27 | 1979-11-06 |
| C. T. Repetto                | Mérida, Yucatán     | 1904-11-29 | 1978-03-19 |
| C. Guimard                   | Santiago del Estero | 1913-04-06 | 1998-09-11 |
| C. Schlechter                | Austria-Hungary     | 1874-03-02 | 1918-12-27 |
| C. Boutteville               | Hanoi               | 1917-06-24 | 2015-05-21 |
| B. Milić                     | Belgrade            | 1925-10-20 | 1986-5-28  |
| B. d. Greiff                 | Medellín            | 1930-02-13 | 2011-10-31 |
| B. Kostić                    | Vršac               | 1887-2-24  | 1963-11-3  |
| B. Katalymov                 | Soviet Union        | 1932-06-13 | 2013-2-1   |
| B. Fischer                   | Chicago             | 1943-03-09 | 2008-01-17 |
| B. Sundberg                  | Stockholm           | 1907-07-07 | 1979-07-20 |
| B. Lasker                    | Barlinek            | 1860-12-31 | 1928-10-19 |
| B. Larsen                    | Thisted             | 1935-03-04 | 2010-09-09 |
| A. Eller                     | Estonia             | 1907-1-1   | 1990-1-1   |
| A. Kubbel                    | Russian Empire      | 1889-09-12 | 1938-01-11 |
| A. Pomar                     | Palma, Majorca      | 1931-9-1   | 2016-5-26  |

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: v16_793
col_name: col1
case_id: 962
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       |
|:--------------|:------------------------|:-----------|-------:|:-----------|
| J. Beradino   | St. Louis Browns        | 1917-05-01 |   1996 | 1996-05-19 |
| F. W. Olin    | Washington Nationals    | 1860-01-09 |   1951 | 1951-05-20 |
| C. Connors    | Brooklyn Dodgers        | 1921-04-10 |   1992 | 1992-11-10 |
| B. Washington | Chicago American Giants | 1898-02-26 |   1970 | 1970-09-15 |
| B. Sunday     | Chicago White Stockings | 1862-11-19 |   1935 | 1935-11-06 |
| A. Lawson     | Boston Beaneaters       | 1869-03-24 |   1954 | 1954-11-29 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/BaseballPlayer
okay_annotation: http://dbpedia.org/ontology/Person http://dbpedia.org/ontology/Athlete
csv: v15_542
col_name: col0
case_id: 355
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 |
|:-------------------------------------------|:-------|-------:|-------:|
| Adenine nucleotide translocator            | P05141 |  10990 |    291 |
| Acyltransferase like 2                     | Q8NF37 |  25718 |  79888 |
| Acyl-CoA:lysocardiolipin acyltransferase-1 | Q6UWP7 |  26756 | 253558 |
| Activin type 2 receptors                   | P27037 |    173 |     92 |
| Activin and inhibin                        | P05111 |  24029 |   3623 |
| Activating protein 2                       | P05549 |  11742 | 339488 |
| ATP2A2                                     | P16615 |    812 |    488 |
| ATP-sensitive potassium channel            | O60706 |     59 |  10060 |
| APOA1BP                                    | Q8NCW5 |  18453 | 128240 |
| APH-1                                      | Q8WW43 |  24080 |  51107 |
| ANKRD35                                    | Q8N283 |  26323 | 148741 |
| ALMS1                                      | Q8TCU4 |    428 |   7840 |
| AHSA2                                      | Q719I0 |  20437 | 130872 |
| ABCE1                                      | P61221 |     69 |   6059 |
| 6-phosphogluconolactonase                  | O95336 |   8903 |  25796 |
| 5'-3' exoribonuclease 1                    | Q8IZH2 |  30654 |  54464 |
| 40S ribosomal protein S4, Y isoform 2      | Q8TD47 |  18501 | 140032 |
| 4-1BB ligand                               | P41273 |  11939 |   8744 |
| 3-Hydroxyacyl ACP dehydrase                | Q08426 |   3247 |   1962 |
| 2-hydroxyphytanoyl-CoA lyase               | Q9UJ83 |  17856 |  26061 |
| 2,4 Dienoyl-CoA reductase                  | Q16698 |   2753 |   1666 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/Protein
okay_annotation: http://dbpedia.org/ontology/Biomolecule
csv: v16_659
col_name: col0
case_id: 936
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 |
|:--------------------------------------------------------------------------|:------------------|-------:|-------:|-------:|
| Purdue University College of Engineering                                  | L. Jamieson       |    339 |   6139 |   2211 |
| Northwestern University School of Education and Social Policy             | P. Peterson       |     23 |    387 |    384 |
| New York University Tandon School of Engineering                          | K. R. Sreenivasan |    396 |   2344 |   2868 |
| New York University Stern School of Business                              | P. B. Henry       |    346 |   2474 |   3379 |
| Milken Institute School of Public Health                                  | L. R. Goldman     |    327 |    176 |    844 |
| Marriott School of Management                                             | L. T. Perry       |    131 |   2100 |    825 |
| Jaypee Institute of Information Technology                                | Commodore         |    242 |   1170 |    120 |
| Haas School of Business                                                   | R. Lyons          |    209 |    700 |   1564 |
| Government Medical College                                                | A. Shinde         |    150 |    150 |     70 |
| Georgia Institute of Technology College of Engineering                    | G. S. May         |    398 |   8076 |   3835 |
| Faculty of Veterinary Medicine & Animal Science, University of Peradeniya | Professor         |     40 |    402 |      3 |
| Faculty of Medicine, ÇOMÜ                                                 | Doctor            |    124 |    380 |     60 |
| Faculty of Arts, University of Peradeniya                                 | Doctor            |    201 |   2905 |    709 |
| Faculty of Agriculture, University of Peradeniya                          | Doctor            |    103 |    839 |    464 |
| Dodge College of Film and Media Arts                                      | B. Bassett        |     39 |    250 |    150 |
| Carey Business School                                                     | B. T. Ferrari     |     75 |     36 |   1002 |
| Cardiff University School of Medicine                                     | J. Bligh          |    500 |   1000 |   1100 |
| BYU College of Fine Arts and Communications                               | S. M. Jones       |    141 |   3900 |    130 |

Target entity column: col1



col_id: 1
label: http://dbpedia.org/ontology/Person
okay_annotation: nan
csv: v15_31
col_name: col1
case_id: 10
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: col0



col_id: 0
label: http://dbpedia.org/ontology/Artery
okay_annotation: http://dbpedia.org/ontology/AnatomicalStructure
csv: v15_485
col_name: col0
case_id: 291
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 |
|:-------------|-------:|-------:|-------:|
| Yellow       |      0 |    100 |    100 |
| Yale Blue    |     75 |      8 |     42 |
| Wine         |     59 |     52 |     45 |
| White        |      0 |      0 |    100 |
| Wheat        |      9 |     26 |     96 |
| Viridian     |     30 |     63 |     51 |
| Violet       |    100 |      0 |    100 |
| Vermilion    |     84 |     71 |     89 |
| Verdigris    |      0 |      3 |     48 |
| Venetian red |     94 |     97 |     84 |
| Vanilla      |      6 |     30 |     95 |
| Umber        |     18 |     28 |     39 |
| Tuscan red   |     61 |     61 |     49 |
| Turquoise    |      0 |      7 |     88 |
| Tufts Blue   |     30 |      0 |     87 |
| Terra cotta  |     50 |     60 |     89 |
| Teal         |     31 |     49 |     50 |
| Taupe        |     60 |     60 |     34 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/Colour
okay_annotation: nan
csv: v16_53
col_name: col0
case_id: 516
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                       |
|:---------------------------|:---------------------------|:---------------------------|:---------------------------|:---------------------------|
| Castle of Alvor            | Faro                       | Faro                       | Faro                       | Faro                       |
| Castle of Alva             | Bragança                   | Bragança                   | Bragança                   | Bragança                   |
| Castle of Almourol         | Lisbon                     | Lisbon                     | Lisbon                     | Lisbon                     |
| Castle of Aljezur          | Faro                       | Faro                       | Faro                       | Faro                       |
| Castle of Algoso           | Bragança                   | Bragança                   | Bragança                   | Bragança                   |
| Castle of Alcoutim         | Faro                       | Faro                       | Faro                       | Faro                       |
| Castle of Alcoutim         | Faro                       | Faro                       | Faro                       | Faro                       |
| Castle Fortress of Almeida | Guarda                     | Guarda                     | Guarda                     | Guarda                     |
| Castle Balfour             | County Fermanagh           | County Fermanagh           | County Fermanagh           | County Fermanagh           |
| Bezděz Castle              | Česká Lípa District        | Česká Lípa District        | Česká Lípa District        | Česká Lípa District        |
| Altenburg                  | Bamberg                    | Bamberg                    | Bamberg                    | Bamberg                    |
| Špilberk Castle            | Brno                       | Brno                       | Brno                       | Brno                       |
| Červená Lhota Castle       | Jindřichův Hradec District | Jindřichův Hradec District | Jindřichův Hradec District | Jindřichův Hradec District |

Target entity column: col1



col_id: 1
label: http://dbpedia.org/ontology/Settlement
okay_annotation: http://dbpedia.org/ontology/PopulatedPlace http://dbpedia.org/ontology/Place http://dbpedia.org/ontology/Location
csv: v15_728
col_name: col1
case_id: 410
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                      |
|:-----------------------------------------|:--------------------------|:--------------------------|:--------------------------|
| Salem Lutheran Church                    | Missouri District         | Missouri District         | Missouri District         |
| Saint James Lutheran Church and School   | Indiana District          | Indiana District          | Indiana District          |
| Saint James Catholic High School         | Ontario                   | Ontario                   | Ontario                   |
| Sacred Heart Parish, Ipswich             | Merrimack Pastoral Region | Merrimack Pastoral Region | Merrimack Pastoral Region |
| Royal Bay Secondary School               | British Columbia          | British Columbia          | British Columbia          |
| Roque de los Muchachos                   | Canary Islands            | Canary Islands            | Canary Islands            |
| Roman Temple of Évora                    | Évora                     | Évora                     | Évora                     |
| Rajk László College for Advanced Studies | Budapest                  | Budapest                  | Budapest                  |
| Pyramid Mountain                         | British Columbia          | British Columbia          | British Columbia          |
| Priory Church of St Peter, Thurgarton    | Newark and Sherwood       | Newark and Sherwood       | Newark and Sherwood       |
| Picayune Memorial High School            | Picayune School District  | Picayune School District  | Picayune School District  |
| Peace Lutheran Church                    | Missouri District         | Missouri District         | Missouri District         |

Target entity column: col1



col_id: 1
label: http://dbpedia.org/ontology/Settlement
okay_annotation: http://dbpedia.org/ontology/PopulatedPlace http://dbpedia.org/ontology/Place http://dbpedia.org/ontology/Location
csv: v15_779
col_name: col1
case_id: 419
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                        |
|:------------------------------|:-----------------------|:-----------------------|:----------------------------|
| Moody Middle School           | British Columbia       | British Columbia       | 2115, St. John's St.        |
| Leahurst College High School  | Kingston, Ontario      | Kingston, Ontario      | 109 - 4 Cataraqui St        |
| Lahainaluna High School       | Lahaina                | Lahaina                | 980 Lahainaluna Road        |
| Haltom High School            | Tarrant County, Texas  | Tarrant County, Texas  | 5501 Haltom Road            |
| Gulf Islands Secondary School | British Columbia       | British Columbia       | 112 Rainbow Road            |
| Gordon Central High School    | Calhoun, Georgia       | Calhoun, Georgia       | 335 Warrior Path NE         |
| GlenBridge Special School     | Cape Town              | Cape Town              | Diep River                  |
| Gary Comer College Prep       | Chicago                | Chicago                | 7131 S South Chicago Avenue |
| Ekamai International School   | Bangkok                | Bangkok                | 57 Pridi Banomyong 31, 37   |
| Dakota Collegiate, Winnipeg   | Manitoba               | Manitoba               | 661 Dakota Street           |
| Collège Béliveau, Winnipeg    | Manitoba               | Manitoba               | 296 Speers Road             |
| Bellevue Christian School     | Clyde Hill, Washington | Clyde Hill, Washington | 1601 98th Avenue Northeast  |
| Bayview Secondary School      | Ontario                | Ontario                | 10077 Bayview Ave           |
| Aldershot School              | Ontario                | Ontario                | 50 Fairwood Place West      |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/School
okay_annotation: http://dbpedia.org/ontology/Organisation http://dbpedia.org/ontology/EducationalInstitution
csv: v18_747
col_name: col0
case_id: 1633
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: col0



col_id: 0
label: http://dbpedia.org/ontology/Judge
okay_annotation: http://dbpedia.org/ontology/Person
csv: v18_824
col_name: col0
case_id: 1673
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 |
|:---------------------------|:------------------------------|:----------------------------|:-------|:---------------------|-------:|
| Vertebral artery           | Brainstem                     | Subclavian+Artery           | a_61   | A07.231.114.839      |    578 |
| Superior mesenteric artery | Intestine                     | Mesenteric+Artery,+Superior | a_61   | A07.231.114.565.755  |    606 |
| Splenic artery             | Spleen                        | Splenic+Artery              | a_61   | A07.231.114.814      |    605 |
| Renal artery               | Kidney                        | Renal+Artery                | a_61   | A07.231.114.745      |    610 |
| Posterior cerebral artery  | Occipital lobe                | Posterior+Cerebral+Artery   | a_61   | A07.231.114.228.700  |    580 |
| Femoral artery             | Anterior compartment of thigh | Femoral+Artery              | a_61   | A07.231.114.351      |    623 |
| Central retinal artery     | Retina                        | Retinal+Artery              | a_61   | A07.231.114.765      |    571 |
| Axillary artery            | Axilla                        | Axillary+Artery             | a_61   | A07.231.114.085      |    586 |
| Aortic arch                | Arm                           | Aortic+Arch                 | a_58   | A07.231.114.056.372. |    547 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/Artery
okay_annotation: http://dbpedia.org/ontology/AnatomicalStructure
csv: v16_555
col_name: col0
case_id: 864
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 |
|:----------------------|:-------------------------------|:------------|-------:|-------:|
| Utica, New York       | United States Democratic Party | 315         |      1 |    138 |
| Tampa, Florida        | B. Buckhorn                    | 813         |      1 |     14 |
| St. Louis             | F. G. Slay                     | 314         |      1 |    142 |
| San Juan, Puerto Rico | C. Y. Cruz                     | 787 and 939 |      1 |      7 |
| Rochester, New York   | L. Warren                      | 585         |      1 |    153 |
| Racine, Wisconsin     | J. Dickert                     | 262         |      1 |    188 |
| Ponce, Puerto Rico    | M. Meléndez                    | 787 and 939 |      1 |     15 |
| Philadelphia          | J. Kenney                      | 215,267     |      1 |     11 |
| Penang                | L. G. Eng                      | 604         |      1 |    735 |
| Penang                | L. G. Eng                      | 604         |      1 |    735 |
| New Orleans           | M. Landrieu                    | 504         |      1 |     -2 |
| Minneapolis           | B. Hodges                      | 612         |      1 |    252 |

Target entity column: col0



col_id: 0
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_87
col_name: col0
case_id: 1043