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                                   |
|:-------------------------------------------|:---------------------------------------|:---------------------------------------|:---------------------------------------|
| Cantonment Church Tower                    | Karnal                                 | Karnal                                 | Karnal                                 |
| Big Creek High School                      | War, West Virginia                     | War, West Virginia                     | War, West Virginia                     |
| Belthangady Varado                         | Dakshina Kannada                       | Dakshina Kannada                       | Dakshina Kannada                       |
| Bellevue Christian School                  | Clyde Hill, Washington                 | Clyde Hill, Washington                 | Clyde Hill, Washington                 |
| Bayview Secondary School                   | Ontario                                | Ontario                                | Ontario                                |
| Basilica of Our Lady of Snows, Pallippuram | Ernakulam                              | Ernakulam                              | Ernakulam                              |
| Aspen Valley High School                   | Colorado Springs, Colorado             | Colorado Springs, Colorado             | Colorado Springs, Colorado             |
| Amon Carter Riverside High School          | Fort Worth Independent School District | Fort Worth Independent School District | Fort Worth Independent School District |
| Aldershot School                           | Ontario                                | Ontario                                | Ontario                                |
| Airport Link, Brisbane                     | Windsor, Queensland                    | Windsor, Queensland                    | Windsor, Queensland                    |
| Đống Đa Mound                              | Đống Đa District                       | Đống Đa District                       | Hanoi                                  |

Target entity column: col1



col_id: 1
label: http://dbpedia.org/ontology/City
okay_annotation: http://dbpedia.org/ontology/AdministrativeRegion http://dbpedia.org/ontology/Settlement http://dbpedia.org/ontology/Place http://dbpedia.org/ontology/PopulatedPlace http://dbpedia.org/ontology/Region http://dbpedia.org/ontology/Location
csv: v17_852
col_name: col1
case_id: 1302
Task: Column-type-annotation (source dataset: SemTab2019)

Your task is to annotate the target entity column in the input table with the DBPedia ontology that can most accurately describe all entities in the column (i.e. use the most fine grained ontology class name that can describe all entities in the column).

No explanation, return the ontology class in JSON format: {"DBpedia ontology class": "<DBpedia ontology class>"}. Please note that DBpedia ontology classes are in the format of "http://dbpedia.org/ontology/<class_name>".

Input Table:
| col0              | col1       | col2       | col3       | col4       |
|:------------------|:-----------|:-----------|:-----------|:-----------|
| USS Skipjack      | 1938-06-30 | 1936-07-22 | 1937-10-23 | 1946-08-28 |
| USS Skimmer       | 1944-09-28 | 1944-09-11 | 1944-09-23 | 1955-07-01 |
| USS Skate         | 1957-12-23 | 1955-07-21 | 1957-05-16 | 1986-09-12 |
| USS Skate         | 1943-04-15 | 1942-08-01 | 1943-03-04 | 1946-12-11 |
| USS Skagit        | 1945-05-02 | 1944-09-21 | 1944-11-18 | 1949-06-30 |
| USS Situla        | 1944-01-14 | 1943-01-09 | 1943-02-07 | 1946-04-23 |
| USS Sitkoh Bay    | 1944-03-28 | 1943-11-23 | 1944-02-19 | 1954-07-27 |
| USS Sitka         | 1945-03-14 | 1944-02-02 | 1944-06-23 | 1946-05-14 |
| USS Siskin        | 1944-12-21 | 1944-06-06 | 1944-09-09 | 1946-07-19 |
| USS Sirona        | 1945-05-10 | 1945-02-15 | 1945-04-17 | 1946-06-12 |
| USS Sioux         | 1942-12-06 | 1942-02-14 | 1942-05-27 | 1947-04-23 |
| USS Sinclair      | 1919-10-08 | 1918-10-15 | 1919-06-02 | 1929-06-01 |
| USS Sims          | 1943-04-24 | 1942-09-07 | 1943-02-06 | 1946-04-24 |
| USS Simpson       | 1920-11-03 | 1919-10-09 | 1920-04-28 | 1946-03-29 |
| USS Simon Newcomb | 1943-08-11 | 1942-08-21 | 1942-11-02 | 1949-11-10 |
| USS Simon Lake    | 1964-11-07 | 1963-01-07 | 1964-02-08 | 1999-07-31 |
| USS Silverstein   | 1944-07-14 | 1943-10-08 | 1943-11-08 | 1947-01-15 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/Ship
okay_annotation: http://dbpedia.org/ontology/MeanOfTransportation http://dbpedia.org/ontology/Locomotive http://dbpedia.org/ontology/Aircraft http://dbpedia.org/ontology/Automobile http://dbpedia.org/ontology/MilitaryVehicle
csv: v17_347
col_name: col0
case_id: 1133
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: col0



col_id: 0
label: http://dbpedia.org/ontology/BeautyQueen
okay_annotation: http://dbpedia.org/ontology/Person
csv: v18_611
col_name: col0
case_id: 1587
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. Queen                            | Pawn          | Looking-Glass Land | R. Queen                    |
| Tarzan                              | Korak         | English language   | Tarzan and the Tarzan Twins |
| S. White                            | E. Swan       | Bavaria            | E. Queen                    |
| Selene                              | Underworld    | Hungarian people   | Underworld                  |
| R. Grant                            | N. Grant      | United States      | B. Henrickson               |
| R. Forman                           | E. Forman     | United States      | Fez                         |
| N. Powers                           | D. Evil       | United Kingdom     | S. Evil                     |
| N. Grant                            | B. Henrickson | United States      | R. Grant                    |
| M. Anagnostou                       | Erotas        | Greece             | Erotas                      |
| M. Ravenwood                        | M. Williams   | United States      | A. Ravenwood                |
| L. Griffin                          | S. Griffin    | United States      | B. Pewterschmidt            |
| List of Disney's Aladdin characters | Descendants   | Arabian            | P. Jasmine                  |
| L. Munster                          | E. Munster    | United States      | Grandpa                     |
| L. Sternin                          | F. Crane      | United States      | M. Crane                    |
| L. d. Lioncourt                     | Claudia       | French people      | G. d. Lioncourt             |
| Kyrano                              | T. Kyrano     | Malaysia           | T. Hood                     |
| K. Forman                           | E. Forman     | United States      | Fez                         |
| J. Valjean                          | Cosette       | France             | M. Pontmercy                |
| J. Porter                           | Korak         | England            | Meriem, wife of Korak       |

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_192
col_name: col2
case_id: 1074
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                                   |
|:-------------------------------------------|:---------------------------------------|:---------------------------------------|:---------------------------------------|
| Cantonment Church Tower                    | Karnal                                 | Karnal                                 | Karnal                                 |
| Big Creek High School                      | War, West Virginia                     | War, West Virginia                     | War, West Virginia                     |
| Belthangady Varado                         | Dakshina Kannada                       | Dakshina Kannada                       | Dakshina Kannada                       |
| Bellevue Christian School                  | Clyde Hill, Washington                 | Clyde Hill, Washington                 | Clyde Hill, Washington                 |
| Bayview Secondary School                   | Ontario                                | Ontario                                | Ontario                                |
| Basilica of Our Lady of Snows, Pallippuram | Ernakulam                              | Ernakulam                              | Ernakulam                              |
| Aspen Valley High School                   | Colorado Springs, Colorado             | Colorado Springs, Colorado             | Colorado Springs, Colorado             |
| Amon Carter Riverside High School          | Fort Worth Independent School District | Fort Worth Independent School District | Fort Worth Independent School District |
| Aldershot School                           | Ontario                                | Ontario                                | Ontario                                |
| Airport Link, Brisbane                     | Windsor, Queensland                    | Windsor, Queensland                    | Windsor, Queensland                    |
| Đống Đa Mound                              | Đống Đa District                       | Đống Đa District                       | Hanoi                                  |

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: v17_852
col_name: col2
case_id: 1303
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: col3



col_id: 3
label: http://dbpedia.org/ontology/Settlement
okay_annotation: http://dbpedia.org/ontology/PopulatedPlace http://dbpedia.org/ontology/Place http://dbpedia.org/ontology/Location
csv: v18_41
col_name: col3
case_id: 1385
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. Lloyd        | M. Dawson                | New York City             | 1994-8-24  |
| S. Reid         | J. Jareau                | Las Vegas                 | 1981-10-0  |
| P. J. Fry       | The Luck of the Fryrish  | Brooklyn                  | 1974-8-9   |
| L. P. Wimsey    | C. Parker                | Hampshire                 | 1890-0-0   |
| L. d. Lioncourt | G. d. Lioncourt          | History of Auvergne       | 1760-11-7  |
| K. Bauer        | J. Bauer                 | Santa Monica, California  | 1987-1-1   |
| J. Bartlet      | J. Bartlett              | Manchester, New Hampshire | 1942-0-0   |
| J. Clark        | D. Chavez                | Indianapolis              | 1944-1-1   |
| J. Adams        | L. Adams                 | Tufnell Park              | 1991-10-27 |
| J. Shephard     | C. Shephard              | Los Angeles               | 1969-12-3  |
| J. Bauer        | G. Bauer                 | Santa Monica, California  | 1966-2-18  |
| H. Mills        | Wicked Witch of the West | Phoenix, Arizona          | 2001-0-0   |
| H. T. Dog       | D. T. Dog                | Wigan                     | 2005-10-27 |
| G. V. Pelt      | A. football              | Iowa                      | 1983-4-4   |
| Gorgythion      | Antiphus                 | Troy                      | 12         |
| E. Cullen       | C. Cullen                | Chicago                   | 1901-0-0   |
| D. Palmer       | W. Palmer                | Philadelphia              | 1953-0-0   |
| C. Littleton    | C. Shephard              | Sydney                    | 1982-10-27 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/FictionalCharacter
okay_annotation: http://dbpedia.org/ontology/Person
csv: v15_151
col_name: col0
case_id: 54
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 |
|:--------------------------------|-------:|:--------------|-------:|-------:|
| Volvo B8444S engine             | 232000 | V8            |      0 |      0 |
| Volkswagen G60 engine           | 118000 | straight-four |      0 |      0 |
| Volkswagen D24 engine           |  61149 | straight-six  |      0 |      0 |
| Volkswagen D24T engine          |  80537 | straight-six  |      0 |      0 |
| Toyota Type A engine            |  19858 | straight-four |      0 |      0 |
| Toyota GZ engine                | 205939 | V12           |      0 |      0 |
| Toyota F engine                 | 101000 | straight-six  |      0 |      0 |
| Toyota FZ engine                | 178973 | straight-six  |      0 |      0 |
| Nissan S20 engine               | 120000 | straight-six  |      0 |      0 |
| Nissan P engine                 |  92000 | straight-six  |      0 |      0 |
| Nissan KA engine                | 104401 | straight-four |      0 |      0 |
| Mustang                         |   3728 | Single        |      0 |      0 |
| Mercedes-Benz OM654 engine      | 143000 | straight-four |      0 |      0 |
| Lamborghini V8                  | 136000 | V8            |      0 |      0 |
| Lamborghini V12                 | 201306 | V12           |      0 |      0 |
| Honda K engine                  | 116332 | straight-four |      0 |      0 |
| General Motors 54° V6 engine    | 134229 | V6            |      0 |      0 |
| Ford Essex V4 engine            |  54437 | V4            |      0 |      0 |
| Fiat TwinAir engine             |  44129 | straight-two  |      0 |      0 |
| FCA F160 engine                 | 310000 | V6            |      0 |      0 |
| Ducati Bipantah engine          |  77227 | V4            |      0 |      0 |
| D-400 engine                    |   2600 | Single        |      0 |      0 |
| Chrysler Pentastar engine       | 171516 | V6            |      0 |      0 |
| Cadillac High Technology engine | 100672 | V8            |      0 |      0 |
| BMW S65                         | 309000 | V8            |      0 |      0 |
| BMW M2B15                       |   4847 | flat-twin     |      0 |      0 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/AutomobileEngine
okay_annotation: http://dbpedia.org/ontology/Device http://dbpedia.org/ontology/Engine
csv: v16_602
col_name: col0
case_id: 889
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         |
|:--------------------------------|-------:|-------:|:-------------|
| Ford Barra engine               | 156000 |      0 | straight-six |
| Fiat TwinAir engine             |  44129 |      0 | straight-two |
| FCA F160 engine                 | 310000 |      0 | V6           |
| Ducati Bipantah engine          |  77227 |      0 | V4           |
| D-400 engine                    |   2600 |      0 | Single       |
| Chrysler Pentastar engine       | 171516 |      0 | V6           |
| Cadillac High Technology engine | 100672 |      0 | V8           |
| BMW S65                         | 309000 |      0 | V8           |
| BMW M2B15                       |   4847 |      0 | flat-twin    |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/AutomobileEngine
okay_annotation: http://dbpedia.org/ontology/Device http://dbpedia.org/ontology/Engine
csv: v17_558
col_name: col0
case_id: 1214
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   |
|:--------------------------------------------|-------:|---------:|-------:|:-------|
| Apical ligament of dens                     |     74 | 12491621 |    296 | l_09   |
| Anterior tibiofibular ligament              |     94 | 12493381 |    348 | l_09z  |
| Anterior talofibular ligament               |     95 | 12493255 |    351 | l_09   |
| Anterior sternoclavicular ligament          |     81 | 12493116 |    313 | l_09   |
| Anterior sacroiliac ligament                |     80 | 12493007 |    307 | l_09   |
| Anterior sacrococcygeal ligament            |     80 | 12492953 |    309 | l_09   |
| Anterior longitudinal ligament              |     72 | 12492521 |    288 | l_09   |
| Anterior ligament of the head of the fibula |     94 | 12491784 |    348 | l_09   |
| Alar ligament                               |     74 | 12491573 |    296 | l_09   |
| Acromioclavicular ligament                  |     82 | 12491567 |    315 | l_09   |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/Ligament
okay_annotation: http://dbpedia.org/ontology/AnatomicalStructure
csv: v15_856
col_name: col0
case_id: 457
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 |
|:----------------------------------------------|:--------------------------------|:------------------------------|-------:|---------:|
| Fibular artery                                | Lateral compartment of the leg  | Fibular vein                  |    638 | 12154284 |
| Femoral artery                                | Anterior compartment of thigh   | Femoral vein                  |    623 | 12154275 |
| Esophageal branches of thoracic part of aorta | Esophagus                       | Esophageal veins              |    600 | 12691278 |
| Dorsal artery of the penis                    | Penis                           | Deep dorsal vein of the penis |    620 | 12154193 |
| Deltoid branch of thoracoacromial artery      | Deltoid muscle                  | Cephalic vein                 |    588 | 12689805 |
| Cystic artery                                 | Gall bladder                    | Cystic vein                   |    605 | 12154087 |
| Central retinal artery                        | Retina                          | Central retinal vein          |    571 | 12153778 |
| Bronchial artery                              | Lungs                           | Bronchial veins               |    600 | 12689141 |
| Axillary artery                               | Axilla                          | Axillary vein                 |    586 | 12153528 |
| Ascending aorta                               | Respiration                     | Coronary sinus                |    545 | 12616312 |
| Artery of bulb of penis                       | Bulb of penis                   | Vein of bulb of penis         |    619 | 12153584 |
| Appendicular artery                           | Vermiform appendix              | Appendicular vein             |    607 | 12153464 |
| Aortic arch                                   | Arm                             | Inferior vena cava            |    547 | 12150514 |
| Anterior tibial artery                        | Anterior compartment of the leg | Anterior tibial vein          |    634 | 12156393 |
| Anterior ethmoidal artery                     | Frontal sinus                   | Ethmoidal veins               |    570 | 12154250 |
| Anterior auricular branches                   | Pinna                           | Anterior auricular veins      |    559 | 12688998 |

Target entity column: col2



col_id: 2
label: http://dbpedia.org/ontology/Vein
okay_annotation: http://dbpedia.org/ontology/AnatomicalStructure
csv: v15_521
col_name: col2
case_id: 327
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  | 851823 | Editor-in-Chief       |
| Weekly Shōnen Jump             | K. Torishima |   2016 | Editor-in-Chief       |
| Vogue                          | E. Tilberis  | 220000 | Editor-in-chief       |
| Vibe                           | A. Light     | 301408 | Editor-In-Chief       |
| The Yeti                       | R. Jenkins   |   5000 | Editor-in-Chief       |
| The State of Australia's Birds | P. Olsen     |   8000 | Editor/compiler       |
| The Railway Magazine           | G. A. Nokes  |   2015 | Editor                |
| The Nation                     | N. Thomas    | 103478 | Editor                |
| The Egoist                     | D. Marsden   |    400 | Editor                |
| Teraz Rock                     | T. Rock      |  40000 | Editor-in-chief       |
| Tehelka                        | A. Bahal     | 110000 | CEO & Editor-in-Chief |
| Sunt Förnuft                   | S. Nordin    |  43500 | Chief editor          |
| SquareGo                       | D. Cook      |  30000 | Editor-in-Chief       |
| Shonen Jump                    | J. Thompson  | 215000 | Editor-in-Chief       |

Target entity column: col1



col_id: 1
label: http://dbpedia.org/ontology/Person
okay_annotation: nan
csv: v16_920
col_name: col1
case_id: 993
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                            |
|:------------------------------|:------------------------|---------:|:--------------------------------|
| Vestibular nerve              | Vestibulocochlear nerve | 12567055 | A08.800.800.120.910.900         |
| Vertebral artery              | Subclavian artery       | 12156505 | A07.231.114.839                 |
| Ulnar nerve                   | Cervical spinal nerve 8 | 12566994 | A08.800.800.720.050.850         |
| Tibial nerve                  | Sacral plexus           | 12566929 | A08.800.800.720.450.760.820     |
| Thoracic aorta                | Descending aorta        | 12617966 | A07.231.114.056.372             |
| Sural nerve                   | Common fibular nerve    | 12566875 | A08.800.800.720.450.760.820.820 |
| Superior mesenteric artery    | Abdominal aorta         | 12155072 | A07.231.114.565.755             |
| Superficial epigastric artery | Femoral artery          | 12154229 | A07.231.114.330                 |
| Subclavian artery             | Aortic arch             | 12156042 | A07.231.114.839                 |
| Stellate ganglion             | Thoracic ganglia        | 12384988 | A08.340.315.350.800             |
| Splenic artery                | Celiac artery           | 12156021 | A07.231.114.814                 |
| Renal artery                  | Abdominal aorta         | 12155727 | A07.231.114.745                 |

Target entity column: col1



col_id: 1
label: http://dbpedia.org/ontology/Artery
okay_annotation: http://dbpedia.org/ontology/AnatomicalStructure
csv: v15_482
col_name: col1
case_id: 285
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. Tamada    | Japan                    | M. Fujii       | 1967-06-30 |
| W. Silva     | Las Vegas, Nevada        | C. Marcello    | 1976-07-03 |
| U. Salamov   | Las Vegas, Nevada        | K. Barry       | 1994-06-07 |
| S. Salmon    | Columbus, Ohio           | J. Gurgel      | 1977-09-11 |
| S. O'Connell | Salt Lake City, Utah     | J. Horn        | 1983-09-02 |
| R. Rousey    | United States            | Boxing         | 1987-02-01 |
| R. Gracie    | England                  | R. Gracie      | 1981-09-26 |
| R. Glunder   | Amsterdam                | J. Plas        | 1975-01-03 |
| R. Moura     | Tampa, Florida           | A. Pederneiras | 1978-03-23 |
| N. Diaz      | Stockton, California     | Boxing         | 1985-04-16 |
| M. Linke     | Poland                   | C. Marcello    | 1969-07-31 |
| M. Jewtuszko | Szczecin                 | M. Linke       | 1981-01-31 |
| K. Horiguchi | Takasaki, Gunma          | N. Yamamoto    | 1990-10-12 |
| K. Yun-sik   | Brazil                   | C. Yong-sool   | 1943-0-0   |
| K. Yoon-sang | Korea                    | C. Yong-Sool   | 1934-5-0   |
| K. Ishikawa  | Japan                    | M. Sunabe      | 1984-05-02 |
| K. Yount     | Kentucky                 | J. Moreno      | 1998-07-09 |
| K. Harrison  | Danvers, Massachusetts   | J. Pedro       | 1990-07-02 |
| J. Budd      | Canada                   | L. Gibson      | 1983-07-04 |
| J. York      | Sydney, Australia        | J. W. Parr     | 1976-02-29 |
| J. Han-jae   | United States            | C. Yong-Sool   | 1936-1-1   |
| J. Rakoczy   | Nevada                   | D. Cooper      | 1977-04-14 |
| J. Hamman    | Santa Monica, California | V. Matyushenko | 1982-3-7   |
| J. Nortje    | Pretoria                 | R. Couture     | 1975-04-11 |
| H. Holm      | New Mexico               | Boxing         | 1981-10-17 |
| G. Teixeira  | Danbury, Connecticut     | S. Mocco       | 1979-10-28 |
| G. St-Pierre | Montréal                 | Boxing         | 1981-05-19 |
| F. Trinaldo  | Brazil                   | S. Moraes      | 1978-08-24 |

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_952
col_name: col1
case_id: 997
Task: Column-type-annotation (source dataset: SemTab2019)

Your task is to annotate the target entity column in the input table with the DBPedia ontology that can most accurately describe all entities in the column (i.e. use the most fine grained ontology class name that can describe all entities in the column).

No explanation, return the ontology class in JSON format: {"DBpedia ontology class": "<DBpedia ontology class>"}. Please note that DBpedia ontology classes are in the format of "http://dbpedia.org/ontology/<class_name>".

Input Table:
| col0         | col1                             | col2        | col3                           | col4       |
|:-------------|:---------------------------------|:------------|:-------------------------------|:-----------|
| W. Foulke    | Chelsea F.C.                     | Shropshire  | Sheffield                      | 1916-05-01 |
| T. Revill    | Stoke City F.C.                  | England     | England                        | 1979-3-29  |
| S. McMillan  | Chelsea F.C.                     | Leicester   | Ashbourne, Derbyshire          | 1963-09-27 |
| N. Cantwell  | Manchester United F.C.           | Cork        | Peterborough                   | 2005-09-08 |
| K. Hough     | Australia national football team | Australia   | Australia                      | 2009-09-20 |
| G. Brann     | England national football team   | Eastbourne  | England national football team | 1954-06-14 |
| F. Gardner   | Birmingham City F.C.             | Coventry    | Coventry                       | 1979-01-12 |
| F. Guttridge | Nottingham Forest F.C.           | Nottingham  | Nottingham                     | 1918-06-13 |
| E. Burgin    | Sheffield United F.C.            | Pitsmoor    | Sheffield                      | 2012-11-16 |
| A. Holt      | Southampton F.C.                 | Southampton | Southampton                    | 1994-07-28 |

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_83
col_name: col2
case_id: 1391
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. Jackson      | South Lanarkshire       | South Lanarkshire          | 1955-1-26  |
| W. Knock        | Lunenburg, Nova Scotia  | Halifax, Nova Scotia       | 1988-02-11 |
| V. Wood         | Manitoba                | Manitoba                   | 1979-09-10 |
| V. Wetterström  | Stockholm               | Stockholm                  | 1956-05-11 |
| V. Peters       | Steinbach, Manitoba     | Winnipeg                   | 2016-03-27 |
| T. Murray       | South Lanarkshire       | South Lanarkshire          | 1944-6-3   |
| S. Penwarden    | Manitoba                | Manitoba                   | 1930-05-23 |
| R. Singbush     | Manitoba                | Manitoba                   | 1950-12-29 |
| R. H. Pickering | Wilcox, Saskatchewan    | Alberta                    | 2015-06-24 |
| P. Canivet      | Paris                   | Garches                    | 1982-1-25  |
| P. Wood         | Manitoba                | Manitoba                   | 1978-12-28 |
| N. Harrison     | Ontario                 | Ontario                    | 2014-02-24 |
| M. Macneill     | Maitland, Nova Scotia   | Halifax, Nova Scotia       | 1951-02-16 |
| M. Campbell     | Saint-Hyacinthe, Quebec | Trois-Rivières             | 2014-7-4   |
| M. Frederickson | Manitoba                | Manitoba                   | 1992-04-28 |
| L. Dagg         | Tisdale, Saskatchewan   | Kelowna                    | 1975-05-14 |
| L. Campbell     | Avonlea, Saskatchewan   | Emerald Park, Saskatchewan | 2016-05-25 |
| L. Wood         | Manitoba                | Manitoba                   | 1965-09-17 |
| L. Johnson      | Manitoba                | Manitoba                   | 1970-11-08 |
| L. Johnson      | Manitoba                | Manitoba                   | 1976-03-06 |
| L. Jackson      | South Lanarkshire       | South Lanarkshire          | 1984-7-27  |
| K. Watson       | Manitoba                | Manitoba                   | 1986-07-26 |
| K. Stearne      | Alberta                 | Adelaide                   | 2016-05-09 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/Curler
okay_annotation: http://dbpedia.org/ontology/Person http://dbpedia.org/ontology/Athlete http://dbpedia.org/ontology/WinterSportPlayer
csv: v16_133
col_name: col0
case_id: 560
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                         |
|:-----------------|:----------------|:---------------|:-----------------------------|
| Vintage Crop     | Bustino         | Riverman       | Bertram & Diana Firestone    |
| Victorian        | Peter Pan I     | Broomstick     | H. P. Whitney                |
| Victoria Park    | Windfields      | Flares         | E. P. Taylor                 |
| Victoire Pisa    | Machiavellian   | Sunday Silence | S. Farm                      |
| Vespa            | Waxy            | Orville        | W. baronets                  |
| Ventura          | Be My Guest     | Mr. Prospector | J. Farms                     |
| Vayrann          | Val de Loir     | Queen's Hussar | A. K. IV                     |
| Val Royal        | Bikala          | Nijinsky II    | J. Lagardere                 |
| Vagrancy         | Man o' War      | Teddy          | B. Stud                      |
| Unfuwain         | Bustino         | Nearctic       | Hamdan bin Rashid Al Maktoum |
| Unbreakable      | Prince Palatine | Phalaris       | J. E. Widener                |
| Typhoon Tracy    | Last Tycoon     | Roberto        | Queensland                   |
| Twilight Tear    | Blue Larkspur   | Bull Dog       | C. Farm                      |
| Twice Over       | Caerleon        | Distant View   | J. Farms                     |
| Turkish Trousers | Nasrullah       | Double Jay     | H. B. Keck                   |
| Tulyar           | Nearco          | Bois Roussel   | A. K. III                    |

Target entity column: col1



col_id: 1
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: v16_515
col_name: col1
case_id: 829
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       |
|:--------------------------|:------------------------|-------:|:-----------|
| H. Worth                  | Berkhamsted             |   1989 | 1989-07-20 |
| H. Fishman                | California              |   2007 | 2007-08-07 |
| G. L. Boggs               | Detroit                 |   2015 | 2015-10-05 |
| G. McLendon               | Texas                   |   1986 | 1986-09-14 |
| G. Cambridge              | Ridgefield, Connecticut |   1976 | 1976-11-29 |
| G. Saunders               | California              |   1980 | 1980-06-04 |
| G. Stratton               | Toluca Lake             |   2008 | 2008-10-11 |
| G. Macready               | United States           |   1973 | 1973-07-02 |
| G. Cole                   | Stoke Row, Oxfordshire  |   2015 | 2015-08-05 |
| F. Korematsu              | Detroit, Michigan       |   2005 | 2005-03-30 |
| F. Perry                  | Aspen, Colorado         |   1995 | 1995-08-29 |
| F. Chagrin                | England                 |   1972 | 1972-11-10 |
| F. Bay                    | Los Angeles, California |   2011 | 2011-09-15 |
| F. Mayne                  | United States           |   1998 | 1998-01-30 |
| E. C. Jr.                 | Big Pine, California    |   1995 | 1995-05-18 |
| E. Welch                  | England                 |   2003 | 2003-07-15 |
| E. Olin                   | Stockholm               |   1828 | 1828-03-26 |
| Edith Ewing Bouvier Beale | Grey Gardens            |   1977 | 1977-02-05 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/Person
okay_annotation: nan
csv: v17_543
col_name: col0
case_id: 1209
Task: Column-type-annotation (source dataset: SemTab2019)

Your task is to annotate the target entity column in the input table with the DBPedia ontology that can most accurately describe all entities in the column (i.e. use the most fine grained ontology class name that can describe all entities in the column).

No explanation, return the ontology class in JSON format: {"DBpedia ontology class": "<DBpedia ontology class>"}. Please note that DBpedia ontology classes are in the format of "http://dbpedia.org/ontology/<class_name>".

Input Table:
| col0           | col1                       | col2             | col3                        | col4       |
|:---------------|:---------------------------|:-----------------|:----------------------------|:-----------|
| W. Rockefeller | New York                   | R. family        | W. P. Rockefeller           | 1912-05-01 |
| S. Dinsmoor    | New Hampshire              | G. Reid          | S. D. Jr.                   | 1766-07-01 |
| R. C. Moody    | Barbados                   | J. W. Webb-Jones | Richard Stanley Hawks Moody | 1813-02-13 |
| P. Dillingham  | Shutesbury, Massachusetts  | W. P. Dillingham | W. P. Dillingham            | 1799-08-10 |
| L. H. Arnold   | St. Johnsbury, Vermont     | I. P. Rodman     | R. Arnold                   | 1792-01-29 |
| J. Bell        | Londonderry, New Hampshire | S. Bell          | C. H. Bell                  | 1765-07-20 |
| H. H. Crapo    | Dartmouth, Massachusetts   | W. C. Durant     | W. W. Crapo                 | 1804-05-24 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/Governor
okay_annotation: http://dbpedia.org/ontology/Person http://dbpedia.org/ontology/Politician
csv: v16_335
col_name: col0
case_id: 674