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

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

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

Input Table:
| col0                       | col1                       | col2                       | col3                       | col4                       |
|:---------------------------|:---------------------------|:---------------------------|:---------------------------|:---------------------------|
| Castle of Alvor            | Faro                       | Faro                       | Faro                       | Faro                       |
| Castle of Alva             | Bragança                   | Bragança                   | Bragança                   | Bragança                   |
| Castle of Almourol         | Lisbon                     | Lisbon                     | Lisbon                     | Lisbon                     |
| Castle of Aljezur          | Faro                       | Faro                       | Faro                       | Faro                       |
| Castle of Algoso           | Bragança                   | Bragança                   | Bragança                   | Bragança                   |
| Castle of Alcoutim         | Faro                       | Faro                       | Faro                       | Faro                       |
| Castle of Alcoutim         | Faro                       | Faro                       | Faro                       | Faro                       |
| Castle Fortress of Almeida | Guarda                     | Guarda                     | Guarda                     | Guarda                     |
| Castle Balfour             | County Fermanagh           | County Fermanagh           | County Fermanagh           | County Fermanagh           |
| Bezděz Castle              | Česká Lípa District        | Česká Lípa District        | Česká Lípa District        | Česká Lípa District        |
| Altenburg                  | Bamberg                    | Bamberg                    | Bamberg                    | Bamberg                    |
| Špilberk Castle            | Brno                       | Brno                       | Brno                       | Brno                       |
| Červená Lhota Castle       | Jindřichův Hradec District | Jindřichův Hradec District | Jindřichův Hradec District | Jindřichův Hradec District |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/Castle
okay_annotation: http://dbpedia.org/ontology/Building http://dbpedia.org/ontology/ArchitecturalStructure http://dbpedia.org/ontology/Place http://dbpedia.org/ontology/Location
csv: v15_728
col_name: col0
case_id: 409
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       |
|:-----------------|:------------------------|:-----------------|:-----------|
| É. Kelemen       | Békéscsabai ENKSE       | Hungarian people | 1987-12-27 |
| Á. Bujdosó       | Vasas SC                | Hungarian people | 1943-06-02 |
| Á. Triffa        | UKSE Szekszárd          | Hungarian people | 1987-01-18 |
| Á. Szilágyi      | Debreceni VSC           | Hungarian people | 1990-03-07 |
| Á. Hornyák       | Győri ETO KC            | Hungarian people | 1982-09-02 |
| Á. Farkas        | Aalborg DH              | Hungarian people | 1973-04-21 |
| Á. Babos         | Budapesti Spartacus SC  | Hungary          | 1944-05-12 |
| Á. Bajorhegyi    | SC Pick Szeged          | Hungarian people | 1980-11-17 |
| Z. Veress        | Békéscsabai ENKSE       | Hungarian people | 1976-03-06 |
| Z. Lovász-Pavlik | Győri ETO KC            | Hungarian people | 1976-12-17 |
| Z. Borbély       | Vasas SC                | Hungary          | 1978-01-09 |
| Y. Snopova       | Maliye Milli Piyango SK | Ukraine          | 1985-11-30 |
| Y. Andriychuk    | Ardeşen GSK             | Ukrainian people | 1992-05-17 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/HandballPlayer
okay_annotation: http://dbpedia.org/ontology/Person http://dbpedia.org/ontology/Athlete
csv: v18_712
col_name: col0
case_id: 1604
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: col0



col_id: 0
label: http://dbpedia.org/ontology/Artery
okay_annotation: http://dbpedia.org/ontology/AnatomicalStructure
csv: v15_521
col_name: col0
case_id: 325
Task: Column-type-annotation (source dataset: SemTab2019)

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

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

Input Table:
| col0          | col1                                                | col2            | col3       | col4           |
|:--------------|:----------------------------------------------------|:----------------|:-----------|:---------------|
| J. Candle     | Salem, Ohio                                         | 6–1             | 1979-11-12 | 6–1            |
| J. Albright   | Graham, North Carolina                              | 501–457         | 1955-05-26 | 104–145        |
| J. Dixon      | Burbank, California                                 | 328–123         | 1965-11-10 | 0–0            |
| J. Craighead  | McCleary, Washington                                | 90–123          | 1980-05-23 | 39–53          |
| J. Spady      | Biloxi, Mississippi                                 | 8–21            | 1966-1-5   | 8–21           |
| J. Franklin   | Langhorne, Pennsylvania                             | 42–29           | 1972-02-02 | 18–14          |
| J. Carson     | Woodbridge, Virginia                                | 78–77 ()        | 1978-01-24 | 78–77 ()       |
| J. Murphy     | Las Vegas                                           | 54–78 ()        | 1979-07-25 | 54–78 ()       |
| J. Payne      | Jackson, Tennessee                                  | 101–113 ()      | 1977-05-27 | 0-0 ()         |
| H. Freeze     | Oxford, Mississippi                                 | 67–28 (college) | 1969-09-27 | 37–21          |
| H. Sendek     | Pittsburgh                                          | 413–295 ()      | 1963-02-22 | 0-0            |
| H. VanDerveer | Chautauqua, New York                                | 17–39 (WNBA)    | 1964-02-11 | 82–37 ()       |
| H. Macy       | Hamptonville, North Carolina                        | 222–125 ()      | 1978-04-04 | 107–83 ()      |
| H. Linstad    | Chelmsford, Massachusetts                           | 322–289–81      | 1967-02-26 | 0–1–0          |
| H. Perretta   | Upper Darby Township, Delaware County, Pennsylvania | 703–439 (.618)  | 1955-07-22 | 703–439 (.618) |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/CollegeCoach
okay_annotation: http://dbpedia.org/ontology/Coach http://dbpedia.org/ontology/Person
csv: v17_54
col_name: col0
case_id: 1023
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       |
|:------------------|:----------------|:------------------------|:-----------|
| Ö. Mäkitalo       | Swedes          | Övertorneå Municipality | 1938-08-27 |
| É. Baudot         | France          | France                  | 1845-09-11 |
| Y. Seinuk         | Cuba            | Cuba                    | 1931-12-21 |
| W. Worsdell       | England         | Crewe                   | 1850-09-07 |
| W. Thorold        | England         | Norfolk                 | 1798-10-09 |
| W. Menelaus       | Scottish people | East Lothian            | 1818-03-10 |
| W. H. White       | England         | Devon                   | 1845-02-02 |
| W. H. Preece      | Great Britain   | Gwynedd                 | 1834-02-15 |
| W. H. Ellis       | United Kingdom  | Sheffield               | 1860-08-20 |
| W. Davidson       | Australian      | Moy, County Tyrone      | 1844-06-12 |
| W. B. Worthington | England         | Lancashire              | 1854-07-08 |

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: v16_203
col_name: col2
case_id: 605
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. Coffin                          | Yale Divinity School              | E. Rubinstein                               | Strafford, Vermont | New York City     |
| W. Maclagan                           | Peterhouse, Cambridge             | William Barrington, 6th Viscount Barrington | London             | Edinburgh         |
| T. More                               | University of Oxford              | A. L. More                                  | England            | England           |
| M. Creighton                          | Merton College, Oxford            | L. Creighton                                | Fulham Palace      | Carlisle, Cumbria |
| Frederick Hervey, 4th Earl of Bristol | Cambridge University              | D. baronets                                 | Albano Laziale     | England           |
| B. Hoadly                             | St Catharine's College, Cambridge | S. Hoadly                                   | Chelsea, London    | Westerham         |

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: v15_1
col_name: col3
case_id: 3
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: col0



col_id: 0
label: http://dbpedia.org/ontology/MartialArtist
okay_annotation: http://dbpedia.org/ontology/Person http://dbpedia.org/ontology/Athlete
csv: v16_953
col_name: col0
case_id: 999
Task: Column-type-annotation (source dataset: SemTab2019)

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

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

Input Table:
| col0       | col1                                          | col2                      | col3            |
|:-----------|:----------------------------------------------|:--------------------------|:----------------|
| N. Scott   | A. Provosty                                   | J. Scott                  | Louisiana       |
| J. Verney  | George Verney, 12th Baron Willoughby de Broke | Baron Willoughby de Broke | Kent            |
| J. Iqbal   | Y. Salahuddin                                 | W. Iqbal                  | Punjab Province |
| H. C. Drew | H. D. Jr.                                     | R. Harmon Drew, Sr.       | Louisiana       |
| B. Laskin  | S. Laskin                                     | J. I. Laskin              | Ontario         |
| B. O'Keefe | J. O'Keefe                                    | A. O'Keefe                | New South Wales |

Target entity column: col2



col_id: 2
label: http://dbpedia.org/ontology/OfficeHolder
okay_annotation: http://dbpedia.org/ontology/Person
csv: v16_876
col_name: col2
case_id: 985
Task: Column-type-annotation (source dataset: SemTab2019)

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

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

Input Table:
| col0          | col1                             | col2      | col3       |
|:--------------|:---------------------------------|:----------|:-----------|
| E. Hawkins    | 3–1 (NAIA D-I playoffs)          | 1–1       | 1926-1-1   |
| E. Robinson   | 0–3 (NCAA D-I-AA playoffs)       | 9–6       | 1919-02-13 |
| D. Babers     | 1–2 (NCAA D-I playoffs)          | 1–0       | 1961-07-19 |
| D. Sheridan   | 3–3 (NCAA D-I-AA playoffs)       | 2–4       | 1941-08-09 |
| D. MacPherson | 0–1 (NCAA Division II playoffs)  | 4–1–1     | 1930-11-04 |
| D. Erickson   | 1–2 (NCAA D-I-AA playoffs)       | 5–7       | 1947-03-24 |
| D. Bailiff    | 2–1 (NCAA D-I-AA playoffs)       | 3–1       | 1958-05-26 |
| D. Maurer     | 9–2 (NCAA D-III playoffs)        | 1–0       | 1932-03-18 |
| D. Mudra      | 4–3 (NCAA D-I-AA playoffs)       | 3–1       | 1929-01-14 |
| D. Hope       | 0–1 (NCAA D-I playoffs)          | 1–0       | 1959-01-07 |
| D. Hawkins    | 4–2 (NAIA playoffs)              | 2–3       | 1960-11-10 |
| C. Schurig    | 1–3 (NCAA D-II playoffs)         | 2–0       | 1965-03-02 |
| C. Carthel    | 0–1 (NCAA D-II playoffs)         | 1–1       | 1976-08-29 |
| C. Klausing   | 2–4 (NCAA D-III playoffs)        | 0–1       | 1925-04-19 |
| C. Broyles    | 19&ndash;14 (NCAA D-II playoffs) | 1&ndash;0 | 1947-02-05 |
| C. Thomsen    | 2–5 (1 win vacated)              | 1–0       | 1970-0-0   |
| C. Creighton  | 0–2 (NAIA playoffs)              | 1–0       | 1969-02-07 |
| C. Ault       | 9–7 (NCAA D-I-AA playoffs)       | 2–8       | 1946-11-08 |
| B. Kelly      | 11–4 (NCAA D-II playoffs)        | 5–4       | 1961-10-25 |
| B. Johnson    | 3–3 (NCAA D-I-AA playoffs)       | 1–0       | 1951-02-08 |
| B. Pruett     | 4–0 (NCAA D-I-AA playoffs)       | 5–2       | 1943-06-20 |
| B. Ford       | 0–1 (NCAA D-I FCS playoffs)      | 2–1       | 1937-09-11 |
| B. Atterberry | 0–2 (NCAA D-II playoffs)         | 0–1       | 1975-02-21 |
| B. Cotton     | 0–1                              | 0–1       | 1956-09-30 |
| A. Molde      | 1–2 (NCAA Div I-AA playoffs)     | 0–1       | 1943-11-15 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/CollegeCoach
okay_annotation: http://dbpedia.org/ontology/Coach http://dbpedia.org/ontology/Person
csv: v17_49
col_name: col0
case_id: 1022
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       |
|:--------------|:---------------|:-----------------|:-----------|
| African Story | Gone West      | Pivotal          | 2007-03-10 |
| African Rose  | Quest for Fame | Observatory      | 2005-05-08 |
| Affirmed      | Crafty Admiral | Exclusive Native | 1975-02-21 |
| Admire Vega   | Tony Bin       | Sunday Silence   | 1996-03-12 |
| Admire Rakti  | Helissio       | Heart's Cry      | 2008-02-20 |
| Adelaide      | Elnadim        | Galileo          | 2011-02-19 |
| Ad Valorem    | Relaunch       | Danzig           | 2002-04-27 |
| Able One      | Danehill       | Cape Cross       | 2002-11-01 |
| A Shin Hikari | Storm Cat      | Deep Impact      | 2011-05-03 |
| A.P. Indy     | Secretariat    | Seattle Slew     | 1989-03-31 |

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_494
col_name: col2
case_id: 321
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            |
|:-------------------------|:-----------------|--------:|:----------------|
| Shojo Beat               | M. Weidenbaum    |   38000 | Editor-in-Chief |
| Shift                    | E. Solomon       |  150000 | Editor-in-Chief |
| Self                     | L. Danziger      | 1492959 | Editor-in-Chief |
| Scribner's Magazine      | R. Bridges       |   70000 | Editor          |
| Rolling Stone Australia  | P. Frazer        |   27051 | Editor-in-Chief |
| RWD Magazine             | M. Mason         |   98806 | Editor          |
| Procycling               | W. Fotheringham  |   54000 | Editor          |
| Poetry                   | H. Carruth       |   30000 | Editor          |
| Oxford Poetry            | A. Mitchell      |    2000 | Editors         |
| OutServe Magazine        | N. Frank         |  250000 | Editor-in-Chief |
| NME                      | K. Murison       |   15384 | Editor          |
| Moment                   | L. Fein          |   65000 | Deputy Editor   |
| Men's Health             | G. Gutfeld       | 1819151 | Editor-In-Chief |
| Life                     | R. E. Sherwood   |  250000 | Editor          |
| Jazz Forum               | J. A. Byrczek    |    8000 | Editor-in-chief |
| Finanztest               | H. Primus        |  251020 | Editor-in-Chief |
| Ebony                    | B. Monroe        | 1271145 | Editor-In-Chief |
| Das Gedicht              | M. Politycki     |    3000 | Editor          |
| Balarama                 | N. M. Mohanan    |  877000 | Editor-in-Chief |
| Artes                    | Ö. Sjöstrand     |    1500 | Editor          |
| Armed Forces Journal     | J. C. O'Laughlin |   27000 | Editor          |
| American Literary Review | S. Cairns        |    1200 | Editor-in-chief |
| America                  | T. J. Reese      |   45000 | Editor          |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/Magazine
okay_annotation: http://dbpedia.org/ontology/WrittenWork http://dbpedia.org/ontology/PeriodicalLiterature http://dbpedia.org/ontology/Work
csv: v16_921
col_name: col0
case_id: 994
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            |
|:---------------------------|:-------------|:---------------------------------------|:----------------|
| Littleton W. T. Waller Jr. | L. Waller    | 6th Machine Gun Battalion              | 0–1034          |
| John R. Deane, Jr.         | J. R. Deane  | 173rd Airborne Brigade                 | 0-24835         |
| J. G. Ord                  | J. B. Ord    | 12th Infantry Regiment                 | O-2608          |
| H. Kraas                   | B. Kraas     | SS Division Hitlerjugend               | NSDAP#2,204,561 |
| H. Biermann                | S. Biermann  | *                                      | 01222819PE      |
| H. Fegelein                | E. Braun     | *                                      | NSDAP#1,200,158 |
| G. Krukenberg              | P. Schöttler | SS Division Charlemagne                | NSDAP#1,067,635 |
| G. Stapleton               | D. Stapleton | No. 247 Squadron                       | 41879           |
| F. Browning                | M. Browning  | 128th Infantry Brigade                 | 22588           |
| F. Harris                  | W. F. Harris | 1st Marine Aircraft Wing               | 0-401           |
| D. Atcherley               | R. Atcherley | Central Fighter Establishment(1948–50) | 5168            |

Target entity column: col1



col_id: 1
label: http://dbpedia.org/ontology/MilitaryPerson
okay_annotation: http://dbpedia.org/ontology/Person
csv: v18_901
col_name: col1
case_id: 1701
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                             |
|:------------------------------------|:-----------------|:-----------------|:---------------------------------|
| Windsor Secondary School            | British Columbia | British Columbia | 931 Broadview Drive              |
| Westgate Mennonite Collegiate       | Manitoba         | Manitoba         | 86 West Gate                     |
| Tafelberg School                    | Cape Town        | Cape Town        | 2 Swellengrebel Avenue, Bothasig |
| Summit Middle School                | British Columbia | British Columbia | 1450 Parkway Boulevard           |
| St. James Collegiate                | Manitoba         | Manitoba         | 1900 Portage Ave.                |
| Saint James Catholic High School    | Ontario          | Ontario          | 57 Victoria Rd N                 |
| Royal Bay Secondary School          | British Columbia | British Columbia | 3500 Ryder Hesjedal Way          |
| Oviedo High School                  | Oviedo, Florida  | Oviedo, Florida  | 601 King Street                  |
| Oklahoma Centennial High School     | Oklahoma City    | Oklahoma City    | 1301 NE 101st Street             |
| Northwest School of the Arts        | Charlotte        | Charlotte        | 1415 Beatties Ford               |
| Nelson McIntyre Collegiate          | Manitoba         | Manitoba         | 188 St. Mary's Rd.               |
| Nancy Campbell Collegiate Institute | Ontario          | Ontario          | 45 Waterloo St. S                |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/School
okay_annotation: http://dbpedia.org/ontology/Organisation http://dbpedia.org/ontology/EducationalInstitution
csv: v18_746
col_name: col0
case_id: 1630
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       |
|:-------------|:---------------------------------|:--------------|:-----------|:-----------|
| R. Snoddy    | White British                    | County Antrim | 1946-1-1   | 1946-1-1   |
| P. Nadeau    | French-speaking Quebecer         | Montreal      | 1960-04-02 | 1960-04-02 |
| M. al-Rashid | Bengali people                   | Bangladesh    | 1964-0-0   | 1964-0-0   |
| J. Reid      | Democratic Republic of the Congo | Brooklyn      | 1968-12-08 | 1968-12-08 |
| D. Searle    | Gibraltarian people              | Gibraltar     | 1960-04-02 | 1960-04-02 |
| C. Galipeau  | French-speaking Quebecer         | Quebec        | 1957-1-1   | 1957-1-1   |
| A. Mediwake  | Scottish people                  | Kandy         | 1975-1-1   | 1975-1-1   |
| A. Babak     | Afghan                           | Afghanistan   | 1990-03-30 | 1990-03-30 |
| A. Arsenault | French Canadian                  | Ontario       | 1967-04-24 | 1967-04-24 |

Target entity column: col1



col_id: 1
label: http://dbpedia.org/ontology/EthnicGroup
okay_annotation: nan
csv: v16_868
col_name: col1
case_id: 979
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       |
|:--------------|:---------------|:-----------------|:-----------|
| African Story | Gone West      | Pivotal          | 2007-03-10 |
| African Rose  | Quest for Fame | Observatory      | 2005-05-08 |
| Affirmed      | Crafty Admiral | Exclusive Native | 1975-02-21 |
| Admire Vega   | Tony Bin       | Sunday Silence   | 1996-03-12 |
| Admire Rakti  | Helissio       | Heart's Cry      | 2008-02-20 |
| Adelaide      | Elnadim        | Galileo          | 2011-02-19 |
| Ad Valorem    | Relaunch       | Danzig           | 2002-04-27 |
| Able One      | Danehill       | Cape Cross       | 2002-11-01 |
| A Shin Hikari | Storm Cat      | Deep Impact      | 2011-05-03 |
| A.P. Indy     | Secretariat    | Seattle Slew     | 1989-03-31 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/RaceHorse
okay_annotation: http://dbpedia.org/ontology/Eukaryote http://dbpedia.org/ontology/Mammal http://dbpedia.org/ontology/Animal http://dbpedia.org/ontology/Horse http://dbpedia.org/ontology/Species
csv: v15_494
col_name: col0
case_id: 319
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 |
|:-----------------------------------------------|:--------------------------------------------|-------:|-------:|
| Royal Horseguards Hotel                        | Guoman Hotels                               |      2 |    282 |
| Rosewood Washington, D.C.                      | Rosewood Hotels & Resorts                   |      1 |     27 |
| Radisson Blu Hotel Chennai                     | Carlson Rezidor Hotel Group                 |      3 |    101 |
| Park Hyatt Toronto                             | Hyatt                                       |      2 |    336 |
| Marriott's Ko Olina Beach Club                 | Marriott Vacation Club                      |      3 |    546 |
| Malmaison Hotel, Reading                       | Malmaison                                   |      1 |     75 |
| Le Méridien San Francisco                      | Le Méridien                                 |    333 |    360 |
| La Concha Resort                               | Marriott International                      |      5 |    483 |
| Jumeirah Zabeel Saray                          | Jumeirah                                    |      8 |    405 |
| InterContinental San Francisco                 | InterContinental                            |    888 |    554 |
| InterContinental Kyiv                          | InterContinental                            |      3 |    272 |
| ITC Grand Chola Hotel                          | ITC Welcomgroup Hotels, Palaces and Resorts |     10 |    600 |
| Hyatt Regency San Francisco                    | Global Hyatt Corporation                    |      2 |    804 |
| Hyatt Regency Chicago                          | Hyatt Hotels Corporation                    |      2 |   2019 |
| Hyatt Centric French Quarter New Orleans Hotel | Hyatt                                       |      3 |    254 |
| Hotel Torni                                    | Sokos Hotels                                |      4 |    152 |

Target entity column: col1



col_id: 1
label: http://dbpedia.org/ontology/Company
okay_annotation: http://dbpedia.org/ontology/Organisation
csv: v15_809
col_name: col1
case_id: 442
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. Garne    | England       | 1861-05-09 |   1895 | 1861-05-09 |
| N. Neville  | Great Britain | 1949-09-26 |   2015 | 1949-09-26 |
| M. Pavri    | India         | 1866-10-10 |   1946 | 1866-10-10 |
| J. S. Munn  | Newfoundland  | 1880-06-06 |   1918 | 1880-06-06 |
| G. Atkinson | England       | 1830-09-21 |   1906 | 1830-09-21 |

Target entity column: col1



col_id: 1
label: http://dbpedia.org/ontology/Country
okay_annotation: http://dbpedia.org/ontology/AdministrativeRegion http://dbpedia.org/ontology/Place http://dbpedia.org/ontology/PopulatedPlace http://dbpedia.org/ontology/Region http://dbpedia.org/ontology/Location
csv: v18_84
col_name: col1
case_id: 1394
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       |
|:---------------------------|:--------------------------|:---------------------|:-----------|
| D. D. Glover               | Arkansas                  | R. W. Glover         | 1868-01-18 |
| C. C. Esty                 | Framingham, Massachusetts | A. R. Esty           | 1824-12-26 |
| C. Ogle                    | Pennsylvania              | A. Ogle              | 1798-1-1   |
| C. H. Atherton             | New Hampshire             | W. Gordon            | 1773-08-14 |
| C. G. DeWitt               | New York                  | C. DeWitt            | 1789-11-07 |
| C. A. Eaton                | Washington, D.C.          | C. S. Eaton          | 1868-03-29 |
| B. Brown                   | Maine                     | J. Brown             | 1756-09-23 |
| A. Frank                   | New York City             | W. Patterson         | 1826-07-17 |
| A. Livermore               | New Hampshire             | S. Livermore         | 1766-07-29 |
| Alphonzo E. Bell, Jr.      | Santa Monica, California  | E. Roosevelt         | 1914-09-19 |
| Aaron Van Schaick Cochrane | New York                  | Isaac W. Van Schaick | 1858-03-14 |
| A. S. J. Carnahan          | Rochester, Minnesota      | J. Carnahan          | 1897-01-09 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/Congressman
okay_annotation: http://dbpedia.org/ontology/Person http://dbpedia.org/ontology/Politician
csv: v17_76
col_name: col0
case_id: 1036
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       |
|:----------------|:-----------------------------|:-----------|:-----------|
| D. Davis        | Dallas Cowboys               | 1940-09-18 | 2004-01-19 |
| D. Sellers      | St. Louis Rams               | 1974-12-30 | 2001-02-11 |
| D. Curtin       | Milwaukee Badgers            | 1901-11-03 | 1963-03-17 |
| D. Wells        | Green Bay Packers            | 1922-07-12 | 1984-02-14 |
| D. Vosberg      | New York Giants              | 1919-10-03 | 1997-06-21 |
| D. Straw        | Detroit                      | 1896-11-22 | 1961-07-31 |
| D. Steinbrunner | 1953 Cleveland Browns season | 1932-04-05 | 1967-07-20 |
| D. Simensen     | Los Angeles Rams             | 1926-09-11 | 1994-04-22 |
| D. Phelps       | Cleveland Browns             | 1924-01-07 | 1982-06-11 |
| D. Owens        | Philadelphia Eagles          | 1932-4-3   | 1997-8-17  |
| D. McCafferty   | New York Giants              | 1921-3-12  | 1974-7-28  |
| D. Irwin        | Washington Redskins          | 1913-07-22 | 1983-06-08 |
| D. Hutson       | Green Bay Packers            | 1913-01-31 | 1997-06-26 |
| D. Herndon      | New York Titans              | 1936-6-4   | 2009-1-10  |
| D. Heinrich     | New York Giants              | 1930-09-19 | 1992-02-29 |

Target entity column: col1



col_id: 1
label: http://dbpedia.org/ontology/AmericanFootballTeam
okay_annotation: http://dbpedia.org/ontology/SportsTeam http://dbpedia.org/ontology/Organisation
csv: v15_450
col_name: col1
case_id: 281
Task: Column-type-annotation (source dataset: SemTab2019)

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

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

Input Table:
| col0         | col1                                        | col2       | col3       |
|:-------------|:--------------------------------------------|:-----------|:-----------|
| A. d. Vos    | Rally Cycling                               | 1993-10-21 | 1993-10-21 |
| A. Ťoupalík  | BKCP-Corendon                               | 1996-05-09 | 1996-05-09 |
| A. Mickey    | UnitedHealthcare Women's Team               | 1990-07-03 | 1990-07-03 |
| A. Madani    | Groupement Sportif Pétrolier Algérie        | 1983-02-28 | 1983-02-28 |
| A. Benyoucef | Groupement Sportif des Pétroliers d'Algérie | 1987-04-10 | 1987-04-10 |
| A. Hannachi  | Groupement Sportif des Pétroliers d'Algérie | 1985-02-02 | 1985-02-02 |
| A. Gate      | An Post-ChainReaction                       | 1990-11-26 | 1990-11-26 |
| A. Eshuis    | Parkhotel Valkenburg Continental Team       | 1987-11-24 | 1987-11-24 |
| Ł. Bodnar    | ActiveJet Team                              | 1982-05-10 | 1982-05-10 |
| Ó. Pujol     | Team Ukyo                                   | 1983-10-16 | 1983-10-16 |
| É. Viennet   | FDJ.fr                                      | 1992-02-06 | 1992-02-06 |
| Á. Edo       | Vitoria-ASC                                 | 1970-08-04 | 1970-08-04 |

Target entity column: col0



col_id: 0
label: http://dbpedia.org/ontology/Cyclist
okay_annotation: http://dbpedia.org/ontology/Person http://dbpedia.org/ontology/Athlete
csv: v16_156
col_name: col0
case_id: 594
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: col0



col_id: 0
label: http://dbpedia.org/ontology/Castle
okay_annotation: http://dbpedia.org/ontology/Building http://dbpedia.org/ontology/ArchitecturalStructure http://dbpedia.org/ontology/Place http://dbpedia.org/ontology/Location
csv: v18_677
col_name: col0
case_id: 1598
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       |
|:---------------------------|:--------------------------|:---------------------|:-----------|
| D. D. Glover               | Arkansas                  | R. W. Glover         | 1868-01-18 |
| C. C. Esty                 | Framingham, Massachusetts | A. R. Esty           | 1824-12-26 |
| C. Ogle                    | Pennsylvania              | A. Ogle              | 1798-1-1   |
| C. H. Atherton             | New Hampshire             | W. Gordon            | 1773-08-14 |
| C. G. DeWitt               | New York                  | C. DeWitt            | 1789-11-07 |
| C. A. Eaton                | Washington, D.C.          | C. S. Eaton          | 1868-03-29 |
| B. Brown                   | Maine                     | J. Brown             | 1756-09-23 |
| A. Frank                   | New York City             | W. Patterson         | 1826-07-17 |
| A. Livermore               | New Hampshire             | S. Livermore         | 1766-07-29 |
| Alphonzo E. Bell, Jr.      | Santa Monica, California  | E. Roosevelt         | 1914-09-19 |
| Aaron Van Schaick Cochrane | New York                  | Isaac W. Van Schaick | 1858-03-14 |
| A. S. J. Carnahan          | Rochester, Minnesota      | J. Carnahan          | 1897-01-09 |

Target entity column: col1



col_id: 1
label: http://dbpedia.org/ontology/Region
okay_annotation: http://dbpedia.org/ontology/AdministrativeRegion http://dbpedia.org/ontology/PopulatedPlace http://dbpedia.org/ontology/Place http://dbpedia.org/ontology/Location
csv: v17_76
col_name: col1
case_id: 1037