MMTU-benchmark/MMTU huggingface dataset:
Task: Column-type-annotation (source dataset: SemTab2019)

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

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

Input Table:
| col0                                | col1                        | col2                       | col3       |
|:------------------------------------|:----------------------------|:---------------------------|:-----------|
| R. Wilson                           | N. a. birth                 | Ronald Darling Wilson      | 1922-08-23 |
| M. Arden                            | Jonathan Mance, Baron Mance | Arden                      | 1947-01-23 |
| K. Warsh                            | J. Lauder                   | Kevin Maxwell Warsh        | 1970-04-13 |
| Jonathan Mance, Baron Mance         | M. Arden                    | Jonathan Hugh Mance        | 1943-06-06 |
| Gordon Slynn, Baron Slynn of Hadley | O. Slynn                    | Gordon Slynn               | 1930-02-17 |
| E. Gloster                          | O. Popplewell               | Elizabeth Gloster          | 1949-06-05 |
| C. Nugee                            | E. Thornberry               | Christopher George Nugee   | 1959-01-23 |
| C. Swift                            | P. Openshaw                 | Caroline Jane Swift        | 1955-05-30 |
| B. O'Keefe                          | N. a. birth                 | Barry Stanley John O’Keefe | 1933-05-20 |

Target entity column: col1



col_id: 1
label: http://dbpedia.org/ontology/Person
okay_annotation: nan
csv: v16_871
col_name: col1
case_id: 982
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. Wilde    | J. Wilde          | 1876-04-19 | 1815-3-1   |
| W. White    | S. White          | 2011-9-7   | 1959-9-7   |
| V. Corleone | C. Corleone       | 1955-7-28  | 1891-4-29  |
| T. Bond     | J. Bond           | 1969-12-0  | 1943-0-0   |
| S. Corleone | S. Corleone       | 1948-1-1   | 1916-1-1   |
| M. Corleone | K. Adams-Corleone | 1997-5-9   | 1920-10-15 |
| L. Wyatt    | P. Halliwell      | 1942-11-24 | 1924-5-6   |
| J. Connor   | K. Brewster       | 2032-7-4   | 1985-2-28  |
| J. Kwon     | S. Kwon           | 2007-12-4  | 1974-11-27 |
| E. Cullen   | B. Swan           | 1918-0-0   | 1901-0-0   |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/FictionalCharacter
okay_annotation: http://dbpedia.org/ontology/Person
csv: v16_222
col_name: col0
case_id: 615
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 |
|:------------------------------------|:----------------|:----------------|:----------------|-------:|
| Fortress of São João Baptista       | Terceira Island | Terceira Island | Terceira Island |     62 |
| Fort of São Sebastião de Caparica   | Setúbal         | Setúbal         | Setúbal         |     30 |
| Fort of São Pedro do Estoril        | Lisbon          | Lisbon          | Lisbon          |     11 |
| Fort of São João do Arade           | Faro            | Faro            | Faro            |      8 |
| Fort of São João                    | Terceira Island | Terceira Island | Terceira Island |      3 |
| Fort of Santa Cruz                  | Faial Island    | Faial Island    | Faial Island    |      9 |
| Fort of Santa Catarina              | Faro            | Faro            | Faro            |     10 |
| Fort of São Sebastião de Caparica   | Setúbal         | Setúbal         | Setúbal         |     30 |
| Fort of São Pedro do Estoril        | Lisbon          | Lisbon          | Lisbon          |     11 |
| Fort of São João do Arade           | Faro            | Faro            | Faro            |      8 |
| Fort of São João                    | Terceira Island | Terceira Island | Terceira Island |      3 |
| Fort of Pessegueiro Island          | Setúbal         | Setúbal         | Setúbal         |     21 |
| Fort of Nossa Senhora da Encarnação | Faro            | Faro            | Faro            |     21 |
| Fort of Negrito                     | Terceira Island | Terceira Island | Terceira Island |      3 |
| Fort of Leça de Palmeira            | Porto           | Porto           | Porto           |     20 |

Target entity column: col2



col_id: 2
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_909
col_name: col2
case_id: 1706
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: col3



col_id: 3
label: http://dbpedia.org/ontology/Artery
okay_annotation: http://dbpedia.org/ontology/AnatomicalStructure
csv: v15_485
col_name: col3
case_id: 294
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. Gervais       | Edmonton, Alberta      | 1997-7-19  | 1934-1-1   |
| G. Hummelt       | Germany                | 2010-07-03 | 1931-07-21 |
| G. Watson        | Thunder Bay, Ontario   | 1977-04-06 | 1905-10-31 |
| G. Hudson        | Winnipeg               | 1959-07-10 | 1894-01-05 |
| G. Campbell      | Regina, Saskatchewan   | 2005-02-01 | 1916-09-23 |
| G. André         | Versailles, Yvelines   | 1945-3-19  | 1876-7-26  |
| G. Richardson    | Regina, Saskatchewan   | 2016-01-21 | 1933-11-06 |
| G. Campbell      | Okotoks, Alberta       | 2011-12-30 | 1927-01-11 |
| G. Hummelt       | Germany                | 2010-07-03 | 1931-07-21 |
| F. Dyke          | Coldbrook, Nova Scotia | 2012-06-28 | 1922-12-27 |
| F. Britton       | Calgary, Alberta       | 2014-09-12 | 1932-08-16 |
| E. Severin       | Stockholm              | 1942-11-15 | 1879-07-18 |
| D. Rollo         | Winnipeg, Manitoba     | 1948-04-13 | 1887-03-11 |
| D. Oyler         | Halifax, Nova Scotia   | 1989-09-19 | 1907-03-08 |
| C. Scrymgeour    | Manitoba               | 2000-11-24 | 1914-06-15 |
| C. W. Petersén   | San Diego              | 1973-10-03 | 1884-03-28 |
| C. A. Pettersson | Stockholm              | 1962-05-31 | 1874-04-13 |
| B. Gourley       | La Jolla, California   | 1976-03-11 | 1878-02-20 |
| B. Walsh         | Winnipeg               | 1971-10-07 | 1917-01-20 |

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: v15_89
col_name: col0
case_id: 41
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       |
|:-------------------|:------------------|:-----------|:-----------|:-----------|
| John M. Gaver, Sr. | United States     | 1982-07-11 | 1900-10-29 | 1900-10-29 |
| J. G. Canty        | Ireland           | 1992-01-07 | 1917-01-30 | 1917-01-30 |
| J. Day             | United Kingdom    | 1883-1-1   | 1819-1-1   | 1819-1-1   |
| J. W. Maloney      | United States     | 1984-03-10 | 1909-04-01 | 1909-04-01 |
| J. E. Ryan         | Ireland           | 1976-07-26 | 1900-08-30 | 1900-08-30 |
| J. E. Fitzsimmons  | New York          | 1966-03-11 | 1874-07-23 | 1874-07-23 |
| J. E. Burch        | United States     | 2011-01-30 | 1924-03-03 | 1924-03-03 |
| I. G. Balding      | England           | 2005-01-20 | 1908-05-23 | 1908-05-23 |
| H. Luro            | Argentina         | 1991-12-16 | 1901-02-27 | 1901-02-27 |
| H. A. Jones        | Parnell, Missouri | 2001-09-02 | 1906-11-24 | 1906-11-24 |
| H. Forrest         | United States     | 1975-04-05 | 1907-07-07 | 1907-07-07 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/HorseTrainer
okay_annotation: http://dbpedia.org/ontology/Person
csv: v18_789
col_name: col0
case_id: 1669
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: col2



col_id: 2
label: http://dbpedia.org/ontology/Person
okay_annotation: nan
csv: v18_824
col_name: col2
case_id: 1675
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: col1



col_id: 1
label: http://dbpedia.org/ontology/AnatomicalStructure
okay_annotation: nan
csv: v16_555
col_name: col1
case_id: 865
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 D. Chica             | Braga      | Braga      | Braga      |    106 |
| Castle of Castro Marim         | Faro       | Faro       | Faro       |     41 |
| Castle of Carrazeda de Ansiães | Bragança   | Bragança   | Bragança   |    795 |
| Castle of Belver               | Portalegre | Portalegre | Portalegre |    148 |
| Castle of Amieira do Tejo      | Portalegre | Portalegre | Portalegre |    214 |
| Castle of Alvor                | Faro       | Faro       | Faro       |     19 |
| Castle of Almourol             | Lisbon     | Lisbon     | Lisbon     |     18 |
| Castle of Aljezur              | Faro       | Faro       | Faro       |     49 |
| Castle of Algoso               | Bragança   | Bragança   | Bragança   |    658 |
| Castle of Alcoutim             | Faro       | Faro       | Faro       |     66 |
| Castle of Alcoutim             | Faro       | Faro       | Faro       |     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_677
col_name: col3
case_id: 1601
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: 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_747
col_name: col2
case_id: 1635
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 |
|:------------------------------------------------|:-------------------------------|:-----------------|---------:|
| Beaver Creek Bridge                             | Texas                          | T. H. Department | 96001104 |
| Balsam Lake Mountain Fire Observation Station   | New York                       | A. Corporation   |  1001038 |
| Bailey Colony Farm                              | Palmer, Alaska                 | D. Williams      | 91000775 |
| B Reactor                                       | Richland, Washington           | DuPont           | 92000245 |
| August and Vera Luedtke Barn                    | Fairfield, Iowa                | L. M. Company    | 99000121 |
| Atka B-24D Liberator                            | Atka, Alaska                   | C. Aircraft      | 79000407 |
| Atalaya and Brookgreen Gardens                  | Murrells Inlet, South Carolina | A. H. Huntington | 84002045 |
| Atalaya Castle                                  | Murrells Inlet, South Carolina | A. M. Huntington | 84002045 |
| Arden                                           | Newburgh                       | C. a. Hastings   | 66000561 |
| Arbor Lodge State Historical Park and Arboretum | Nebraska City, Nebraska        | F. L. Olmsted    | 69000135 |

Target entity column: col1



col_id: 1
label: http://dbpedia.org/ontology/City
okay_annotation: http://dbpedia.org/ontology/AdministrativeRegion http://dbpedia.org/ontology/Settlement http://dbpedia.org/ontology/Place http://dbpedia.org/ontology/PopulatedPlace http://dbpedia.org/ontology/Region http://dbpedia.org/ontology/Location
csv: v18_744
col_name: col1
case_id: 1628
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 West Ekonk        | 1918-04-16 | 12225000000 |      7 |
| USS Wateree           | 1943-10-05 |   534000000 |      3 |
| USS Vega              | 1918-07-08 |  4037000000 |      7 |
| USS Undaunted         | 1943-11-27 |   534000000 |      3 |
| USS Umpqua            | 1944-12-16 |   534000000 |      3 |
| USS Thresher          | 1958-05-28 |    22480037 |      7 |
| USS Texas             | 1973-08-18 |    69853224 |      9 |
| USS Taylor            | 1917-10-15 |  1090000000 |      2 |
| USS Tatnuck           | 1944-11-15 |   534000000 |      3 |
| USS Tarazed           | 1932-03-18 |  6983000000 |      7 |
| USS Sunnadin          | 1944-12-04 |   534000000 |      3 |
| USS Stewart           | 1919-09-09 |     7715606 |      2 |
| USS Stallion          | 1944-10-26 |   534000000 |      3 |
| USS St. Francis River | 1945-05-19 |   758000000 |      1 |
| USS Spica             | 1918-06-15 |  5800000000 |      7 |
| USS Sonoma            | 1943-12-09 |   534000000 |      3 |
| USS Sibley            | 1944-05-17 |  6873000000 |      7 |

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_875
col_name: col0
case_id: 458
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 |
|:------------------------------------|-------:|:-----------|----------------:|
| Tohoku Bank                         |     48 | 1950-11-01 |     24400000000 |
| The Bank of Tokyo-Mitsubishi UFJ    |    868 | 1919-08-25 | 160800000000000 |
| Sumitomo Mitsui Banking Corporation |    444 | 1996-06-06 |       115484907 |
| Skipton Building Society            |     98 | 1853-05-01 |     17500000000 |
| Shonai Bank                         |     73 | 1878-12-01 |    737000000000 |
| Nanto Bank                          |      2 | 1934-06-01 |   5329000000000 |
| Moody National Bank                 |     21 | 1907-09-30 |       938600000 |
| Hokkaido Bank                       |    134 | 1951-03-05 |  33800000000000 |
| Citizens National Bank              |     17 | 1910-02-16 |       599500000 |
| Bank Negara Indonesia               |   1076 | 1946-07-05 | 227500000000000 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/Bank
okay_annotation: http://dbpedia.org/ontology/Company http://dbpedia.org/ontology/Organisation http://dbpedia.org/ontology/Place http://dbpedia.org/ontology/Location
csv: v15_570
col_name: col0
case_id: 375
Task: Column-type-annotation (source dataset: SemTab2019)

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

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

Input Table:
| col0           | col1                           | col2           | col3       |
|:---------------|:-------------------------------|:---------------|:-----------|
| F. Emelianenko | Belgorod Oblast                | E. Hoost       | 1976-09-28 |
| Esui           | Japan                          | M. Yoshida     | 1985-05-09 |
| E. Barboza     | United States                  | R. Almeida     | 1986-01-21 |
| C. Marcello    | Brazil                         | R. Gracie      | 1977-12-3  |
| C. Schneider   | California                     | E. Paulson     | 1982-03-12 |
| C. Dolman      | Amsterdam                      | J. Bluming     | 1945-02-17 |
| C. Brenneman   | East Stroudsburg, Pennsylvania | M. Constantino | 1981-2-9   |
| C. Condit      | New Mexico                     | G. Jackson     | 1984-04-26 |
| B. Adegbuyi    | Bucharest                      | H. coach       | 1985-01-24 |
| B. Rutten      | Los Angeles, California        | M. Funaki      | 1965-02-24 |
| B. Nansen      | Auckland, New Zealand          | J. Conway      | 1987-01-11 |
| A. Hamasaki    | Japan                          | M. Fujii       | 1982-03-31 |
| A. Gomez       | Tinley Park, Illinois          | M. Torres      | 1982-1-1   |
| A. Koreshkov   | Russia                         | A. Shlemenko   | 1990-08-23 |
| A. Silva       | Los Angeles, California        | A. R. Nogueira | 1975-04-14 |
| A. Lloveras    | Barcelona                      | G. Gonzaga     | 1982-09-04 |

Target entity column: col2



col_id: 2
label: http://dbpedia.org/ontology/MartialArtist
okay_annotation: http://dbpedia.org/ontology/Person http://dbpedia.org/ontology/Athlete
csv: v16_953
col_name: col2
case_id: 1001
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. Scheib  | Walter Stanley Scheib III | 2015-06-13 | 1954-05-03 |
| U. Dubois  | Urbain Dubois             | 1901-03-14 | 1818-05-26 |
| S. Woods   | Sylvia Pressley           | 2012-07-19 | 1926-02-02 |
| R. Carrier | Robert Carrier McMahon    | 2006-06-27 | 1923-11-10 |
| M. Food    | Art Ginsburg              | 2012-11-21 | 1931-07-29 |
| J. Child   | Julia Carolyn McWilliams  | 2004-08-13 | 1912-08-15 |
| J. Benoît  | Jehane Patenaude          | 1987-11-24 | 1904-03-21 |
| H. Cantu   | Homaro Cantu Jr.          | 2015-04-14 | 1976-09-23 |
| H. Go      | Pahar Pangcoga            | 2015-10-24 | 1986-08-08 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/Chef
okay_annotation: http://dbpedia.org/ontology/Person
csv: v18_700
col_name: col0
case_id: 1603
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. J. O'Connell | St. Finbarr's GAA         | St. Finbarr's GAA         | 1897-4-25 |
| T. Purcell      | Moycarkey-Borris GAA      | Moycarkey-Borris GAA      | 1949-0-0  |
| T. McGuinness   | Navan Gaels GAA           | Navan Gaels GAA           | 1987-0-0  |
| T. Mulligan     | Round Towers, Clondalkin  | Good Counsel GAA          | 2007-8-27 |
| T. Mulcahy      | St. Finbarr's GAA         | St. Finbarr's GAA         | 2009-11-9 |
| T. Finlay       | Clough-Ballacolla         | Clough-Ballacolla         | 1967-9-6  |
| T. Collins      | Kilmoyley                 | Kilmoyley                 | 2008-1-1  |
| S. Behan        | St Vincents GAA           | St Vincents GAA           | 2009-1-1  |
| S. Purcell      | Tuam Stars                | Tuam Stars                | 2005-8-27 |
| S. Kenny        | Borris-Ileigh GAA         | Borris-Ileigh GAA         | 2002-0-0  |
| S. O'Connell    | Ballerin GAC              | Ballerin GAC              | 2003-8-0  |
| S. McIntyre     | Killarney Legion GAA      | Gort GAA                  | 2001-1-1  |
| S. Purcell      | Tuam Stars                | Tuam Stars                | 2005-8-27 |
| S. Kenny        | Borris-Ileigh GAA         | Borris-Ileigh GAA         | 2002-0-0  |
| P. Grimes       | Mount Sion GAA            | Mount Sion GAA            | 1989-5-8  |
| P. McNulty      | Portlaoise GAA            | Portlaoise GAA            | 2010-0-0  |
| P. Stakelum     | Holycross-Ballycahill GAA | Holycross-Ballycahill GAA | 2008-0-0  |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/GaelicGamesPlayer
okay_annotation: http://dbpedia.org/ontology/Person http://dbpedia.org/ontology/Athlete
csv: v17_250
col_name: col0
case_id: 1101
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 |
|:----------------------------|:--------------------------|:---------------|-------:|
| In a Good Way               | Just You                  | L. Ren         |   6300 |
| In Time with You            | Hayate the Combat Butler  | A. Lin         |   4800 |
| In Sickness and in Health   | Till Death Us Do Part     | K. Campbell    |   1800 |
| Império                     | Em Família                | C. Blat        |   2100 |
| Imperio de cristal          | Marimar                   | K. d. Castillo |  -1320 |
| Império                     | Em Família                | C. Blat        |   2100 |
| Imortal                     | Lobo                      | A. Locsin      |  -2700 |
| Imbestigador                | Brigada Siete             | M. Enriquez    |   2700 |
| Iljimae                     | On Air                    | L. Joon-gi     |   1315 |
| If Tomorrow Comes           | My Love By My Side        | S. Woo         |   1240 |
| If These Walls Could Talk 2 | If These Walls Could Talk | C. Sevigny     |   5760 |
| If There Be Thorns          | Petals on the Wind        | H. Graham      |   6000 |
| If Only I Could             | The Truth Seekers         | A. Chen        |   2700 |
| Idhayam                     | Madhavi                   | Seetha         |  -1320 |

Target entity column: col1



col_id: 1
label: http://dbpedia.org/ontology/TelevisionShow
okay_annotation: http://dbpedia.org/ontology/Work
csv: v16_464
col_name: col1
case_id: 810
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       |
|:---------------|:----------------|:----------------|:-----------|
| Arabian Queen  | Barathea        | Dubawi          | 2012-02-23 |
| Aqaarid        | Lomond          | Nashwan         | 1992-01-14 |
| Annie Power    | Old Vic         | Shirocco        | 2008-03-20 |
| Anabaa Blue    | Riverman        | Anabaa          | 1998-04-12 |
| Among Men      | Key to the Mint | Zilzal          | 1994-03-07 |
| American Post  | Sadler's Wells  | Bering          | 2001-02-03 |
| Almutawakel    | Green Desert    | Machiavellian   | 1995-01-19 |
| Almaarad       | Busted          | Ela-Mana-Mou    | 1983-04-30 |
| Alleged        | Prince John     | Hoist The Flag  | 1974-05-04 |
| All the Good   | Manila          | Diesis          | 2003-04-24 |
| Alkaased       | Niniski         | Kingmambo       | 2000-02-19 |
| Ali-Royal      | Chief Singer    | Royal Academy   | 1993-02-09 |
| Alhaarth       | Irish River     | Unfuwain        | 1993-03-07 |
| Alderbrook     | Thatching       | Ardross         | 1989-04-27 |
| Al Kazeem      | Darshaan        | Dubawi          | 2008-04-15 |
| Al Bahathri    | Nodouble        | Blushing Groom  | 1982-03-15 |
| Ajdal          | Raise A Native  | Northern Dancer | 1984-04-02 |
| Air Force Blue | Maria's Mon     | War Front       | 2013-05-02 |
| Agnes World    | Seattle Slew    | Danzig          | 1995-04-28 |
| Again          | Kahyasi         | Danehill Dancer | 2006-05-22 |

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_493
col_name: col2
case_id: 318
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. Hill       |      3 |      6 |     16 |
| P. Cade       |      0 |      0 |      0 |
| P. d. Klerk   |      0 |      0 |      0 |
| P. Westbury   |      0 |      0 |      0 |
| P. Ryan       |      0 |      0 |      0 |
| P. Revson     |      2 |      1 |      8 |
| P. Monteverdi |      0 |      0 |      0 |
| P. Hirt       |      0 |      0 |      0 |
| P. Gethin     |      1 |      0 |      1 |
| P. Collins    |      3 |      0 |      9 |
| P. Broeker    |      0 |      0 |      0 |
| P. Ashdown    |      0 |      0 |      0 |
| P. Arundell   |      0 |      0 |      2 |
| P. Lovely     |      0 |      0 |      0 |
| P. McCarthy   |      0 |      0 |      0 |
| P. Rodríguez  |      2 |      0 |      7 |
| P. Lamy       |      0 |      0 |      0 |
| P. Diniz      |      0 |      0 |      0 |
| P. Chaves     |      0 |      0 |      0 |
| P. Russo      |      0 |      0 |      1 |
| P. Pietsch    |      0 |      0 |      0 |
| P. Hawkins    |      0 |      0 |      0 |
| P. Frère      |      0 |      0 |      1 |
| P. England    |      0 |      0 |      0 |
| P. Emery      |      0 |      0 |      0 |
| P. Belmondo   |      0 |      0 |      0 |
| P. Nève       |      0 |      0 |      0 |
| P. Gaillard   |      0 |      0 |      0 |
| P. O'Connor   |      0 |      1 |      0 |
| P. Flaherty   |      1 |      1 |      1 |
| P. Fabre      |      0 |      0 |      0 |
| P. Barilla    |      0 |      0 |      0 |
| P. Birger     |      0 |      0 |      0 |
| O. Karch      |      0 |      0 |      0 |
| O. Larrauri   |      0 |      0 |      0 |
| O. A. Gálvez  |      0 |      0 |      0 |
| O. Marimón    |      0 |      0 |      2 |
| O. Panis      |      1 |      0 |      5 |
| O. Beretta    |      0 |      0 |      0 |
| N. Takahara   |      0 |      0 |      0 |
| N. Fontana    |      0 |      0 |      0 |
| N. Kiesa      |      0 |      0 |      0 |
| N. Larini     |      0 |      0 |      1 |
| N. Lederle    |      0 |      0 |      0 |
| N. Piquet     |     23 |     24 |     60 |
| N. Hattori    |      0 |      0 |      0 |
| N. Galli      |      0 |      0 |      0 |
| M. Fohr       |      0 |      0 |      0 |
| M. Solana     |      0 |      0 |      0 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/FormulaOneRacer
okay_annotation: http://dbpedia.org/ontology/MotorsportRacer http://dbpedia.org/ontology/Person http://dbpedia.org/ontology/Athlete http://dbpedia.org/ontology/RacingDriver
csv: v18_275
col_name: col0
case_id: 1502
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       |
|:---------------|:----------------|:-----------|:-----------|
| K. Shum        | K. K. Oppegard  | 1997-7-3   | 1997-7-3   |
| K. Reynolds    | S. Bourne       | 1990-7-23  | 1990-7-23  |
| K. Alves       | K. Browning     | 1991-10-19 | 1991-10-19 |
| K. Frank       | Y. Sato         | 1988-10-23 | 1988-10-23 |
| K. Nakamura    | K. Miyamoto     | 1991-10-16 | 1991-10-16 |
| K. Gagnon      | M. Wing         | 1987-12-31 | 1987-12-31 |
| K. Tanaka      | M. Scali        | 1994-11-22 | 1994-11-22 |
| K. Messing     | R. Flack        | 1992-1-23  | 1992-1-23  |
| K. McLaughlin  | S. Kawahara     | 1992-9-25  | 1992-9-25  |
| K. Lorenz      | I. Shpilband    | 1995-9-5   | 1995-9-5   |
| K. Taylor      | P. Tchernyshev  | 1989-10-22 | 1989-10-22 |
| K. Müller      | M. Scali        | 1995-9-12  | 1995-9-12  |
| K. Gierok      | R. Lohse        | 1992-2-20  | 1992-2-20  |
| K. Charbonneau | S. Bourne       | 1993-4-2   | 1993-4-2   |
| K. Johnson     | J. Blumberg     | 1991-5-1   | 1991-5-1   |
| K. Routhier    | P. Camerlengo   | 1991-2-11  | 1991-2-11  |
| K. Zelenka     | B. Fusar-Poli   | 1983-3-31  | 1983-3-31  |
| K. Sakamoto    | M. Scali        | 2000-4-9   | 2000-4-9   |
| K. Muramoto    | M. Zueva        | 1993-3-3   | 1993-3-3   |
| K. Weaver      | S. Bourne       | 1989-4-12  | 1989-4-12  |
| K. Osmond      | P. Camerlengo   | 1995-12-5  | 1995-12-5  |
| K. V. Daele    | R. Sinicyn      | 1989-8-24  | 1989-8-24  |
| J. Pietersen   | O. Jääskeläinen | 1986-8-28  | 1986-8-28  |
| J. Partanen    | M. Zueva        | 1991-7-15  | 1991-7-15  |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/FigureSkater
okay_annotation: http://dbpedia.org/ontology/Person http://dbpedia.org/ontology/Athlete http://dbpedia.org/ontology/WinterSportPlayer
csv: v18_209
col_name: col0
case_id: 1453
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       |
|:------------|:------------------------|:----------------|:--------------------|:-----------|
| D. Wright   | Ontario                 | Canadians       | Dover               | 1917-8-11  |
| D. Heck     | Toronto                 | Americans       | Queens              | 1929-1-2   |
| D. Sprang   | Prescott, Arizona       | United States   | Fremont, Ohio       | 1915-7-28  |
| D. Giordano | Volusia County, Florida | Americans       | Manhattan           | 1932-7-20  |
| D. Briel    | Rijswijk                | The Netherlands | Leiden              | 1950-12-29 |
| D. Briefer  | United States           | United States   | United States       | 1915-1-9   |
| D. Ayers    | White Plains, New York  | United States   | Ossining            | 1924-4-28  |
| D. Stevens  | Turlock, California     | United States   | Lynwood, California | 1955-7-29  |
| D. Branca   | Buenos Aires            | Argentina       | Buenos Aires        | 1951-12-7  |
| C. Swan     | Wilton, Connecticut     | Americans       | Willmar, Minnesota  | 1920-2-17  |

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_88
col_name: col1
case_id: 531
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       |
|:--------------------------------------------|-------:|-------:|:-----------|
| Will Reed Farm House                        |   2023 |   2023 | 1978-07-14 |
| Will Mayfield College                       |   5139 |   5139 | 2013-01-14 |
| Will County Historical Society Headquarters |    404 |    404 | 1972-05-17 |
| Wilks Brooks House                          |   2832 |   2832 | 1980-05-16 |
| Wilkinson House                             |   8093 |   8093 | 1985-09-16 |
| Wilkinson House                             |  40468 |  40468 | 2006-11-29 |
| Wilkinson-Martin House                      |   8093 |   8093 | 2010-03-17 |
| Wilkinson-Dozier House                      |   8093 |   8093 | 1974-10-23 |
| Wilkins Farm                                |  14163 |  14163 | 2014-02-10 |
| Wilkin County Courthouse                    |   4046 |   4046 | 1980-07-17 |
| Wilkes Hosiery Mills                        |   5665 |   5665 | 2008-04-30 |
| Wilhelm Mansion and Carriage House          |  25495 |  25495 | 1982-03-01 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/Building
okay_annotation: http://dbpedia.org/ontology/ArchitecturalStructure http://dbpedia.org/ontology/Place http://dbpedia.org/ontology/Location
csv: v18_730
col_name: col0
case_id: 1616
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. S. Allen | Manchester            | Woodhead Hall               | W. Allen     | 1831-06-22 |
| R. Layton   | Montreal              | Montreal                    | J. Layton    | 1925-12-25 |
| M. Hodgman  | Hobart                | Tasmania                    | W. Hodgman   | 1938-11-16 |
| J. Appiah   | Kumasi                | Kumasi                      | K. A. Appiah | 1918-11-16 |
| G. S. Malhi | India                 | Brampton, Ontario           | H. Malhi     | 1949-10-12 |
| G. Layton   | Canada                | Montreal                    | R. Layton    | 1899-11-05 |
| C. Palmer   | Melbourne             | Queensland                  | C. Palmer    | 1954-03-26 |
| C. Strahl   | British Columbia      | British Columbia            | M. Strahl    | 1957-02-25 |
| B. Katter   | Cloncurry, Queensland | Charters Towers, Queensland | R. Katter    | 1945-05-22 |
| B. Follett  | Jamaica               | London                      | J. Turner    | 1942-12-25 |

Target entity column: col1



col_id: 1
label: http://dbpedia.org/ontology/City
okay_annotation: http://dbpedia.org/ontology/AdministrativeRegion http://dbpedia.org/ontology/Settlement http://dbpedia.org/ontology/Place http://dbpedia.org/ontology/PopulatedPlace http://dbpedia.org/ontology/Region http://dbpedia.org/ontology/Location
csv: v15_938
col_name: col1
case_id: 503