MMTU-benchmark/MMTU huggingface dataset:
Task: Columns-property-anotation (source dataset: SemTab2019)

You will be given a table, along with a head column and a tail column from the table. Your task is to annotate the semantic relationship between this pair of columns in the table, using a valid property name from the DBPedia Ontology, which always starts with the prefix of http://dbpedia.org/ontology/.
 
No explanation, return the ontology property in JSON format: {"DBpedia property": "<DBpedia property>"}. The annotation property should come with the prefix of http://dbpedia.org/ontology/.

Input table:
| col0                          | col1                     | col2        | col3                     |
|:------------------------------|:-------------------------|:------------|:-------------------------|
| 1934 German Grand Prix        | Auto Union               | H. Stuck    | Mercedes-Benz            |
| 1933 Tunis Grand Prix         | Alfa Romeo in motorsport | T. Nuvolari | Alfa Romeo in motorsport |
| 1933 Penya Rhin Grand Prix    | Bugatti                  | T. Nuvolari | Alfa Romeo in motorsport |
| 1933 Nice Grand Prix          | Maserati                 | T. Nuvolari | Bugatti                  |
| 1933 Monaco Grand Prix        | Bugatti                  | A. Varzi    | Alfa Romeo in motorsport |
| 1933 French Grand Prix        | Maserati in motorsport   | G. Campari  | Alfa Romeo in motorsport |
| 1933 Belgian Grand Prix       | Maserati in motorsport   | T. Nuvolari | Bugatti                  |
| 1932 Tunis Grand Prix         | Bugatti                  | L. Chiron   | Bugatti                  |
| 1932 Nice Circuit Race        | Bugatti                  | R. Dreyfus  | Alfa Romeo               |
| 1932 Monaco Grand Prix        | Bugatti                  | A. Varzi    | Alfa Romeo in motorsport |
| 1932 Italian Grand Prix       | Alfa Romeo in motorsport | T. Nuvolari | Maserati                 |
| 1932 German Grand Prix        | Alfa Romeo in motorsport | T. Nuvolari | Alfa Romeo in motorsport |
| 1932 French Grand Prix        | Alfa Romeo in motorsport | T. Nuvolari | Alfa Romeo in motorsport |
| 1931 Monaco Grand Prix        | Bugatti                  | L. Chiron   | Maserati in motorsport   |
| 1931 Italian Grand Prix       | Alfa Romeo in motorsport | G. Campari  | Alfa Romeo in motorsport |
| 1931 German Grand Prix        | Bugatti                  | A. Varzi    | Bugatti                  |
| 1931 French Grand Prix        | Maserati                 | L. Fagioli  | Alfa Romeo in motorsport |
| 1931 Belgian Grand Prix       | Bugatti                  | L. Chiron   | Alfa Romeo in motorsport |
| 1930 San Sebastián Grand Prix | Maserati in motorsport   | A. Varzi    | Maserati in motorsport   |
| 1930 Rome Grand Prix          | Bugatti                  | L. Chiron   | Bugatti                  |
| 1930 Monza Grand Prix         | Maserati in motorsport   | A. Varzi    | Maserati in motorsport   |
| 1930 Monaco Grand Prix        | Bugatti                  | R. Dreyfus  | Bugatti                  |

Head column: col0

Tail column: col2



col_a_id: 0
col_b_id: 2
col_a_name: col0
col_b_name: col2
label: http://dbpedia.org/ontology/fastestDriver
csv: v16_346
case_id: 1010
Task: Columns-property-anotation (source dataset: SemTab2019)

You will be given a table, along with a head column and a tail column from the table. Your task is to annotate the semantic relationship between this pair of columns in the table, using a valid property name from the DBPedia Ontology, which always starts with the prefix of http://dbpedia.org/ontology/.
 
No explanation, return the ontology property in JSON format: {"DBpedia property": "<DBpedia property>"}. The annotation property should come with the prefix of http://dbpedia.org/ontology/.

Input table:
| col0                                            |    col1 |    col2 | col3       |
|:------------------------------------------------|--------:|--------:|:-----------|
| Wall Street Historic District                   |  254951 |  254951 | 2007-02-20 |
| Wall Brook Farm                                 |  356123 |  356123 | 2002-11-22 |
| Walker–Grant School                             |   12140 |   12140 | 1998-10-30 |
| Walkerton                                       |    6879 |    6879 | 1984-12-06 |
| Walker Sisters Place                            |   40468 |   40468 | 1976-03-16 |
| Walker House                                    |   36421 |   36421 | 1990-12-28 |
| Walker House                                    |  100321 |  100321 | 1985-06-17 |
| Walker House                                    |   16187 |   16187 | 1982-11-23 |
| Walker House                                    |   28327 |   28327 | 1975-06-10 |
| Walker Homestead Historic District              |   32374 |   32374 | 1992-07-20 |
| Walker-Klinner Farm                             | 6474970 | 6474970 | 1987-10-15 |
| Walker's Inn                                    |    4046 |    4046 | 1975-08-19 |
| Walker's Creek Presbyterian Church              |     404 |     404 | 2003-10-22 |
| Walker–Grant School                             |   12140 |   12140 | 1998-10-30 |
| Wales N. Johnson House                          |   12140 |   12140 | 1995-11-07 |
| Wales House                                     |   22257 |   22257 | 1993-08-19 |
| Wales                                           |  380404 |  380404 | 1974-12-23 |
| Waldron Commercial Historic District            |   48562 |   48562 | 2008-09-25 |
| Waldron-Beck House and Carriage House           |    4451 |    4451 | 1984-02-09 |
| Waldo Block                                     |     404 |     404 | 1982-04-29 |
| Waldensian Presbyterian Church                  |    9307 |    9307 | 1984-10-25 |
| Waldensian Church and Cemetery of Stone Prairie |    8093 |    8093 | 1985-01-18 |
| Waldenmark                                      |   68796 |   68796 | 2001-08-30 |
| Wakely Mountain Fire Observation Station        |   44515 |   44515 | 2003-10-03 |
| Wakelon School                                  |    8093 |    8093 | 1976-05-13 |
| Wakefields                                      |   36421 |   36421 | 1974-10-16 |

Head column: col0

Tail column: col2



col_a_id: 0
col_b_id: 2
col_a_name: col0
col_b_name: col2
label: http://dbpedia.org/ontology/landArea
csv: v18_738
case_id: 2507
Task: Columns-property-anotation (source dataset: SemTab2019)

You will be given a table, along with a head column and a tail column from the table. Your task is to annotate the semantic relationship between this pair of columns in the table, using a valid property name from the DBPedia Ontology, which always starts with the prefix of http://dbpedia.org/ontology/.
 
No explanation, return the ontology property in JSON format: {"DBpedia property": "<DBpedia property>"}. The annotation property should come with the prefix of http://dbpedia.org/ontology/.

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 |

Head column: col0

Tail column: col4



col_a_id: 0
col_b_id: 4
col_a_name: col0
col_b_name: col4
label: http://dbpedia.org/ontology/birthYear
csv: v18_789
case_id: 2607
Task: Columns-property-anotation (source dataset: SemTab2019)

You will be given a table, along with a head column and a tail column from the table. Your task is to annotate the semantic relationship between this pair of columns in the table, using a valid property name from the DBPedia Ontology, which always starts with the prefix of http://dbpedia.org/ontology/.
 
No explanation, return the ontology property in JSON format: {"DBpedia property": "<DBpedia property>"}. The annotation property should come with the prefix of http://dbpedia.org/ontology/.

Input table:
| col0        | col1         | col2                            | col3              | col4       | col5       |
|:------------|:-------------|:--------------------------------|:------------------|:-----------|:-----------|
| W. White    | M. Schrader  | List of Breaking Bad characters | S. White          | 2011-9-7   | 1959-9-7   |
| V. Corleone | C. family    | M. Corleone                     | C. Corleone       | 1955-7-28  | 1891-4-29  |
| S. Corleone | C. family    | V. Corleone                     | S. Corleone       | 1948-1-1   | 1916-1-1   |
| M. Corleone | C. family    | M. Corleone                     | K. Adams-Corleone | 1997-5-9   | 1920-10-15 |
| L. Wyatt    | P. Halliwell | C. Halliwell                    | P. Halliwell      | 1942-11-24 | 1924-5-6   |
| E. Cullen   | C. Cullen    | R. Cullen                       | B. Swan           | 1918-0-0   | 1901-0-0   |

Head column: col0

Tail column: col1



col_a_id: 0
col_b_id: 1
col_a_name: col0
col_b_name: col1
label: http://dbpedia.org/ontology/relative
csv: v18_201
case_id: 2162
Task: Columns-property-anotation (source dataset: SemTab2019)

You will be given a table, along with a head column and a tail column from the table. Your task is to annotate the semantic relationship between this pair of columns in the table, using a valid property name from the DBPedia Ontology, which always starts with the prefix of http://dbpedia.org/ontology/.
 
No explanation, return the ontology property in JSON format: {"DBpedia property": "<DBpedia property>"}. The annotation property should come with the prefix of http://dbpedia.org/ontology/.

Input table:
| col0                    | col1                 | col2            |   col3 |   col4 |
|:------------------------|:---------------------|:----------------|-------:|-------:|
| Macon, Georgia          | R. Reichert          | 478             |      1 |    116 |
| Kolkata                 | R. Mallik            | +91-33          |      1 |      9 |
| Karachi                 | A. Vohra             | +9221-XXXX XXXX |      1 |      8 |
| Ithaca, New York        | S. Myrick            | 607             |      1 |    123 |
| Houston                 | S. Turner            | 713,832,281,346 |      1 |     24 |
| Gaborone                | B. C. Party          | 3XX             |      1 |   1014 |
| Delhi                   | A. Kejriwal          | +91 11          |      1 |    198 |
| Coral Gables, Florida   | J. Cason             | 305,786         |      1 |      2 |
| Cincinnati              | J. Cranley           | 513             |      1 |    146 |
| Chennai                 | I. A. Service        | +91-44          |      1 |      6 |
| Brownsville, Texas      | At-large             | 956             |      1 |     10 |
| Bristol                 | C. Party             | 0117, 01275     |      1 |     10 |
| Boston                  | D. Party             | 617 and 857     |      1 |     42 |
| Baltimore               | S. C. Rawlings-Blake | 410,443,667     |      1 |      0 |
| Albuquerque, New Mexico | R. J. Berry          | 505, 575        |      1 |   1619 |

Head column: col0

Tail column: col2



col_a_id: 0
col_b_id: 2
col_a_name: col0
col_b_name: col2
label: http://dbpedia.org/ontology/areaCode
csv: v17_88
case_id: 1511
Task: Columns-property-anotation (source dataset: SemTab2019)

You will be given a table, along with a head column and a tail column from the table. Your task is to annotate the semantic relationship between this pair of columns in the table, using a valid property name from the DBPedia Ontology, which always starts with the prefix of http://dbpedia.org/ontology/.
 
No explanation, return the ontology property in JSON format: {"DBpedia property": "<DBpedia property>"}. The annotation property should come with the prefix of http://dbpedia.org/ontology/.

Input table:
| col0                                             |   col1 | col2      | col3   |
|:-------------------------------------------------|-------:|:----------|:-------|
| GSK-3                                            | 605004 | 2.7.11.26 | P49840 |
| GDP-fucose protein O-fucosyltransferase 1        | 607491 | 2.4.1.221 | Q9H488 |
| Fructose 1,6-bisphosphatase                      | 229700 | 3.1.3.11  | P09467 |
| Formimidoyltransferase cyclodeaminase            | 606806 | 4.3.1.4   | O95954 |
| FUT4                                             | 104230 | 2.4.1.152 | P22083 |
| FANCM                                            | 609644 | 3.6.1.-   | Q8IYD8 |
| Enoyl-CoA hydratase                              | 607037 | 4.2.1.17  | Q08426 |
| Electron-transferring-flavoprotein dehydrogenase | 231675 | 1.5.5.1   | Q16134 |
| EIF4A                                            | 601102 | 3.6.1.1   | P38919 |
| Doubletime                                       | 121695 | 2.7.11.1  | P49674 |
| Dipeptidase 2                                    | 609925 | 3.4.13.19 | Q9H4A9 |
| Dihydroorotase                                   | 114010 | 3.5.2.3   | P27708 |
| Deoxyribonuclease II                             | 126350 | 3.1.22.1  | O00115 |
| DNA clamp                                        | 176740 | 2.7.7.7   | P12004 |

Head column: col0

Tail column: col3



col_a_id: 0
col_b_id: 3
col_a_name: col0
col_b_name: col3
label: http://dbpedia.org/ontology/uniprot
csv: v15_632
case_id: 511
Task: Columns-property-anotation (source dataset: SemTab2019)

You will be given a table, along with a head column and a tail column from the table. Your task is to annotate the semantic relationship between this pair of columns in the table, using a valid property name from the DBPedia Ontology, which always starts with the prefix of http://dbpedia.org/ontology/.
 
No explanation, return the ontology property in JSON format: {"DBpedia property": "<DBpedia property>"}. The annotation property should come with the prefix of http://dbpedia.org/ontology/.

Input table:
| col0                                   |   col1 |    col2 |    col3 |
|:---------------------------------------|-------:|--------:|--------:|
| Tanana Mission                         |   1899 |   10117 |   10117 |
| St. Mary's Mission                     |   1866 |    8093 |    8093 |
| St. Ignatius Mission                   |   1893 |    8093 |    8093 |
| St. Francis Solanus Mission            |   1860 |    4046 |    4046 |
| Shoshone-Episcopal Mission             |     90 |  647497 |  647497 |
| Shawnee Friends Mission                |   1924 |   12140 |   12140 |
| Pottawatomie Baptist Mission Building  |   1849 |    8093 |    8093 |
| Patterson School Historic District     |   1912 | 6859421 | 6859421 |
| Lodi Arch                              |   1907 |     404 |     404 |
| Lihue Hongwanji Mission                |   1901 |    1618 |    1618 |
| Fort Lemhi                             |   1855 |   36421 |   36421 |
| Embassy of Indonesia, Washington, D.C. |   1903 |    1214 |    1214 |
| Christ Church Mission                  |   1932 |    8093 |    8093 |
| Brainerd Mission                       |   1817 |    4046 |    4046 |

Head column: col0

Tail column: col1



col_a_id: 0
col_b_id: 1
col_a_name: col0
col_b_name: col1
label: http://dbpedia.org/ontology/yearOfConstruction
csv: v16_556
case_id: 1195
Task: Columns-property-anotation (source dataset: SemTab2019)

You will be given a table, along with a head column and a tail column from the table. Your task is to annotate the semantic relationship between this pair of columns in the table, using a valid property name from the DBPedia Ontology, which always starts with the prefix of http://dbpedia.org/ontology/.
 
No explanation, return the ontology property in JSON format: {"DBpedia property": "<DBpedia property>"}. The annotation property should come with the prefix of http://dbpedia.org/ontology/.

Input table:
| col0                                   |   col1 |    col2 |    col3 |
|:---------------------------------------|-------:|--------:|--------:|
| Tanana Mission                         |   1899 |   10117 |   10117 |
| St. Mary's Mission                     |   1866 |    8093 |    8093 |
| St. Ignatius Mission                   |   1893 |    8093 |    8093 |
| St. Francis Solanus Mission            |   1860 |    4046 |    4046 |
| Shoshone-Episcopal Mission             |     90 |  647497 |  647497 |
| Shawnee Friends Mission                |   1924 |   12140 |   12140 |
| Pottawatomie Baptist Mission Building  |   1849 |    8093 |    8093 |
| Patterson School Historic District     |   1912 | 6859421 | 6859421 |
| Lodi Arch                              |   1907 |     404 |     404 |
| Lihue Hongwanji Mission                |   1901 |    1618 |    1618 |
| Fort Lemhi                             |   1855 |   36421 |   36421 |
| Embassy of Indonesia, Washington, D.C. |   1903 |    1214 |    1214 |
| Christ Church Mission                  |   1932 |    8093 |    8093 |
| Brainerd Mission                       |   1817 |    4046 |    4046 |

Head column: col0

Tail column: col3



col_a_id: 0
col_b_id: 3
col_a_name: col0
col_b_name: col3
label: http://dbpedia.org/ontology/landArea
csv: v17_783
case_id: 1883
Task: Columns-property-anotation (source dataset: SemTab2019)

You will be given a table, along with a head column and a tail column from the table. Your task is to annotate the semantic relationship between this pair of columns in the table, using a valid property name from the DBPedia Ontology, which always starts with the prefix of http://dbpedia.org/ontology/.
 
No explanation, return the ontology property in JSON format: {"DBpedia property": "<DBpedia property>"}. The annotation property should come with the prefix of http://dbpedia.org/ontology/.

Input table:
| col0       | col1          | col2            | col3       | col4       | col5       |
|:-----------|:--------------|:----------------|:-----------|:-----------|:-----------|
| T. Nurse   | Dundee        | Scotland        | 1965-02-14 | 1965-02-14 | 2016-07-24 |
| S. Nagy    | Enkoping      | Sweden          | 1951-07-31 | 1951-07-31 | 2016-06-23 |
| R. Herbert | Pontypool     | Wales           | 1972-11-28 | 1972-11-28 | 2012-02-22 |
| P. Nixon   | County Durham | Durham, England | 1956-03-13 | 1956-03-13 | 2013-08-09 |
| G. Haywood | Sheffield     | Yorkshire       | 1946-0-0   | 1946-0-0   | 2016-09-12 |
| C. Inglis  | Plymouth      | England         | 1935-1-1   | 1935-1-1   | 2001-1-1   |

Head column: col0

Tail column: col2



col_a_id: 0
col_b_id: 2
col_a_name: col0
col_b_name: col2
label: http://dbpedia.org/ontology/birthPlace
csv: v17_139
case_id: 1533
Task: Columns-property-anotation (source dataset: SemTab2019)

You will be given a table, along with a head column and a tail column from the table. Your task is to annotate the semantic relationship between this pair of columns in the table, using a valid property name from the DBPedia Ontology, which always starts with the prefix of http://dbpedia.org/ontology/.
 
No explanation, return the ontology property in JSON format: {"DBpedia property": "<DBpedia property>"}. The annotation property should come with the prefix of http://dbpedia.org/ontology/.

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

Head column: col0

Tail column: col3



col_a_id: 0
col_b_id: 3
col_a_name: col0
col_b_name: col3
label: http://dbpedia.org/ontology/deathPlace
csv: v18_83
case_id: 2096
Task: Columns-property-anotation (source dataset: SemTab2019)

You will be given a table, along with a head column and a tail column from the table. Your task is to annotate the semantic relationship between this pair of columns in the table, using a valid property name from the DBPedia Ontology, which always starts with the prefix of http://dbpedia.org/ontology/.
 
No explanation, return the ontology property in JSON format: {"DBpedia property": "<DBpedia property>"}. The annotation property should come with the prefix of http://dbpedia.org/ontology/.

Input table:
| col0              | col1                                  | col2                           | col3       |
|:------------------|:--------------------------------------|:-------------------------------|:-----------|
| W. Petter         | Gonville and Caius College, Cambridge | E. W. Petter                   | 1908-08-08 |
| S. W. Johnson     | Leeds Grammar School                  | J. Johnson                     | 1831-10-14 |
| S. D. Holden      | University College School             | J. Holden                      | 1870-08-23 |
| R. Freeman        | Uppingham School                      | S. R. Freeman                  | 1911-02-03 |
| L. B. Dale        | Vassar College                        | A. Lichtenstein                | 1913-03-30 |
| J. E. Thornycroft | St Paul's School                      | J. I. Thornycroft              | 1872-0-0   |
| I. K. Brunel      | Lycée Henri-IV                        | M. I. Brunel                   | 1806-04-09 |
| I. M. Campbell    | University College London             | Institution of Civil Engineers | 1922-07-13 |
| H. E. Ives        | University of Pennsylvania            | F. E. Ives                     | 1882-07-21 |
| G. Julius         | Christchurch                          | Archbishop                     | 1873-04-29 |
| G. Ivatt          | Uppingham School                      | H. Ivatt                       | 1886-05-04 |
| D. S. Galton      | Rugby School                          | J. Strutt                      | 1822-07-02 |
| A. D. Dobson      | Christ's College, Canterbury          | E. Dobson                      | 1841-09-09 |

Head column: col0

Tail column: col2



col_a_id: 0
col_b_id: 2
col_a_name: col0
col_b_name: col2
label: http://dbpedia.org/ontology/parent
csv: v16_209
case_id: 931
Task: Columns-property-anotation (source dataset: SemTab2019)

You will be given a table, along with a head column and a tail column from the table. Your task is to annotate the semantic relationship between this pair of columns in the table, using a valid property name from the DBPedia Ontology, which always starts with the prefix of http://dbpedia.org/ontology/.
 
No explanation, return the ontology property in JSON format: {"DBpedia property": "<DBpedia property>"}. The annotation property should come with the prefix of http://dbpedia.org/ontology/.

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 |

Head column: col0

Tail column: col2



col_a_id: 0
col_b_id: 2
col_a_name: col0
col_b_name: col2
label: http://dbpedia.org/ontology/locatedInArea
csv: v15_728
case_id: 561
Task: Columns-property-anotation (source dataset: SemTab2019)

You will be given a table, along with a head column and a tail column from the table. Your task is to annotate the semantic relationship between this pair of columns in the table, using a valid property name from the DBPedia Ontology, which always starts with the prefix of http://dbpedia.org/ontology/.
 
No explanation, return the ontology property in JSON format: {"DBpedia property": "<DBpedia property>"}. The annotation property should come with the prefix of http://dbpedia.org/ontology/.

Input table:
| col0                                     | col1          |   col2 | col3                                |     col4 |
|:-----------------------------------------|:--------------|-------:|:------------------------------------|---------:|
| Ventromedial nucleus of the hypothalamus | Hypothalamus  |    381 | A08.186.211.730.385.357.352.953     | 12584102 |
| Subthalamic nucleus                      | Basal ganglia |    418 | A08.186.211.730.385.800.800         | 14166739 |
| Pulvinar nuclei                          | Thalamus      |    311 | A08.186.211.730.385.826.701.485.600 | 12680162 |
| Nucleus accumbens                        | Basal ganglia |    259 | A08.186.211.730.885.105.683         | 12580142 |
| Medulla oblongata                        | Brain stem    |    695 | A08.186.211.132.810.406             | 12519731 |
| Brainstem                                | Brain         |    218 | A08.186.211.132                     | 12195821 |
| Basal ganglia                            | Cerebrum      |    206 | A08.186.211.730.885.105             | 12580456 |
| Arcuate nucleus                          | Hypothalamus  |    378 | A08.186.211.730.385.357.352.081     | 12580380 |
| Arachnoid mater                          | Meninges      |    561 | A08.186.566.166                     | 12149123 |

Head column: col0

Tail column: col1



col_a_id: 0
col_b_id: 1
col_a_name: col0
col_b_name: col1
label: http://dbpedia.org/ontology/isPartOfAnatomicalStructure
csv: v16_716
case_id: 1355
Task: Columns-property-anotation (source dataset: SemTab2019)

You will be given a table, along with a head column and a tail column from the table. Your task is to annotate the semantic relationship between this pair of columns in the table, using a valid property name from the DBPedia Ontology, which always starts with the prefix of http://dbpedia.org/ontology/.
 
No explanation, return the ontology property in JSON format: {"DBpedia property": "<DBpedia property>"}. The annotation property should come with the prefix of http://dbpedia.org/ontology/.

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 |

Head column: col0

Tail column: col1



col_a_id: 0
col_b_id: 1
col_a_name: col0
col_b_name: col1
label: http://dbpedia.org/ontology/damsire
csv: v15_493
case_id: 381
Task: Columns-property-anotation (source dataset: SemTab2019)

You will be given a table, along with a head column and a tail column from the table. Your task is to annotate the semantic relationship between this pair of columns in the table, using a valid property name from the DBPedia Ontology, which always starts with the prefix of http://dbpedia.org/ontology/.
 
No explanation, return the ontology property in JSON format: {"DBpedia property": "<DBpedia property>"}. The annotation property should come with the prefix of http://dbpedia.org/ontology/.

Input table:
| col0                               | col1                            |   col2 |   col3 |
|:-----------------------------------|:--------------------------------|-------:|-------:|
| Popliteal lymph nodes              | Deep inguinal lymph nodes       |    701 |    179 |
| Pectoral axillary lymph nodes      | Central lymph nodes             |    699 |    178 |
| Paratracheal lymph nodes           | Bronchomediastinal lymph trunks |    697 |    177 |
| Parasternal lymph nodes            | Bronchomediastinal trunk        |    715 |    181 |
| Pararectal lymph nodes             | Inferior mesenteric lymph nodes |    710 |    180 |
| Mesenteric lymph nodes             | Intestinal lymph trunk          |    709 |    180 |
| Mastoid lymph nodes                | Superior deep cervical glands   |    693 |    177 |
| Lumbar lymph trunk                 | Cisterna chyli                  |    691 |    176 |
| Intestinal lymph trunk             | Cisterna chyli                  |    691 |    176 |
| Internal iliac lymph nodes         | Common iliac lymph nodes        |    704 |    180 |
| Intercostal lymph nodes            | Thoracic duct                   |    715 |    181 |
| Inferior mesenteric lymph nodes    | Preaortic lymph node            |    710 |    180 |
| Inferior deep cervical lymph nodes | Jugular trunk                   |    697 |    177 |
| Hepatic lymph nodes                | Celiac lymph nodes              |    706 |    180 |
| Gastric lymph nodes                | Celiac lymph nodes              |    706 |    180 |
| External iliac lymph nodes         | Common iliac lymph nodes        |    703 |    180 |
| Deltopectoral lymph nodes          | Apical lymph nodes              |    699 |    178 |
| Deep inguinal lymph nodes          | External iliac glands           |    702 |    179 |
| Common iliac lymph nodes           | Lateral aortic lymph nodes      |    704 |    180 |
| Cisterna chyli                     | Thoracic duct                   |    690 |    176 |
| Central lymph nodes                | Apical lymph nodes              |    699 |    178 |
| Celiac lymph nodes                 | Preaortic lymph node            |    706 |    180 |
| Bronchomediastinal lymph trunk     | Thoracic duct                   |    717 |    181 |
| Apical lymph nodes                 | Subclavian trunk                |    700 |    178 |

Head column: col0

Tail column: col1



col_a_id: 0
col_b_id: 1
col_a_name: col0
col_b_name: col1
label: http://dbpedia.org/ontology/drainsTo
csv: v16_918
case_id: 1411
Task: Columns-property-anotation (source dataset: SemTab2019)

You will be given a table, along with a head column and a tail column from the table. Your task is to annotate the semantic relationship between this pair of columns in the table, using a valid property name from the DBPedia Ontology, which always starts with the prefix of http://dbpedia.org/ontology/.
 
No explanation, return the ontology property in JSON format: {"DBpedia property": "<DBpedia property>"}. The annotation property should come with the prefix of http://dbpedia.org/ontology/.

Input table:
| col0         | col1       | col2       |   col3 |
|:-------------|:-----------|:-----------|-------:|
| R. Jefferson | 1943-11-09 | 1943-11-09 |     18 |
| R. H. Jr.    | 1934-12-25 | 1934-12-25 |     88 |
| R. Helu      | 1988-12-07 | 1988-12-07 |    105 |
| R. Hart      | 1965-07-10 | 1965-07-10 |    158 |
| R. Hall      | 1983-12-08 | 1983-12-08 |    169 |
| R. Green     | 1957-6-30  | 1957-6-30  |     89 |
| R. Foster    | 1960-05-24 | 1960-05-24 |     24 |
| R. Curry     | 1939-11-09 | 1939-11-09 |    164 |
| R. Barker    | 1969-2-24  | 1969-2-24  |     98 |
| R. Verba     | 1973-10-31 | 1973-10-31 |     30 |

Head column: col0

Tail column: col2



col_a_id: 0
col_b_id: 2
col_a_name: col0
col_b_name: col2
label: http://dbpedia.org/ontology/birthDate
csv: v17_459
case_id: 1747
Task: Columns-property-anotation (source dataset: SemTab2019)

You will be given a table, along with a head column and a tail column from the table. Your task is to annotate the semantic relationship between this pair of columns in the table, using a valid property name from the DBPedia Ontology, which always starts with the prefix of http://dbpedia.org/ontology/.
 
No explanation, return the ontology property in JSON format: {"DBpedia property": "<DBpedia property>"}. The annotation property should come with the prefix of http://dbpedia.org/ontology/.

Input table:
| col0                                          | col1       | col2       | col3       |
|:----------------------------------------------|:-----------|:-----------|:-----------|
| Sir Abraham Hume, 1st Baronet                 | 1772-10-10 | 1703-1-1   | 1703-1-1   |
| R. Cullen                                     | 1730-1-1   | 1661-1-1   | 1661-1-1   |
| R. Hodge                                      | 1950-9-21  | 1859-9-0   | 1859-9-0   |
| R. Newdigate                                  | 1806-11-23 | 1719-5-30  | 1719-5-30  |
| R. Hobart                                     | 1928-8-4   | 1836-9-13  | 1836-9-13  |
| R. Vassar-Smith                               | 1995-1-1   | 1909-1-1   | 1909-1-1   |
| R. Heron                                      | 1824-1-1   | 1726-1-1   | 1726-1-1   |
| R. Sitwell                                    | 2009-3-31  | 1927-4-15  | 1927-4-15  |
| R. Lopes                                      | 1854-1-23  | 1788-9-10  | 1788-9-10  |
| P. Nugent                                     | 1874-6-25  | 1797-9-29  | 1797-9-29  |
| P. Newson                                     | 1950-5-17  | 1874-4-4   | 1874-4-4   |
| P. Studholme                                  | 1990-0-0   | 1930-1-16  | 1930-1-16  |
| P. Warrender                                  | 1799-6-14  | 1731-3-7   | 1731-3-7   |
| N. Everard                                    | 1929-7-12  | 1849-10-24 | 1849-10-24 |
| N. Bowater                                    | 1984-1-22  | 1892-12-25 | 1892-12-25 |
| M. Sharp                                      | 1924-5-22  | 1856-1-30  | 1856-1-30  |
| M. Burrell                                    | 1787-4-6   | 1699-11-5  | 1699-11-5  |
| M. Blakiston                                  | 1774-1-1   | 1702-1-1   | 1702-1-1   |
| Martin Redmayne, Baron Redmayne of Rushcliffe | 1983-4-28  | 1910-11-16 | 1910-11-16 |
| L. Bennet                                     | 1693-12-5  | 1631-1-1   | 1631-1-1   |
| L. Forestier-Walker                           | 1934-1-1   | 1866-1-1   | 1866-1-1   |
| L. V. Palk                                    | 1860-05-16 | 1793-04-24 | 1793-04-24 |
| J. Hewitt                                     | 1923-2-8   | 1865-10-14 | 1865-10-14 |
| J. Neeld                                      | 1891-1-1   | 1805-1-1   | 1805-1-1   |

Head column: col0

Tail column: col3



col_a_id: 0
col_b_id: 3
col_a_name: col0
col_b_name: col3
label: http://dbpedia.org/ontology/birthYear
csv: v16_731
case_id: 1361
Task: Columns-property-anotation (source dataset: SemTab2019)

You will be given a table, along with a head column and a tail column from the table. Your task is to annotate the semantic relationship between this pair of columns in the table, using a valid property name from the DBPedia Ontology, which always starts with the prefix of http://dbpedia.org/ontology/.
 
No explanation, return the ontology property in JSON format: {"DBpedia property": "<DBpedia property>"}. The annotation property should come with the prefix of http://dbpedia.org/ontology/.

Input table:
| col0            | col1                    | col2                       | col3       |
|:----------------|:------------------------|:---------------------------|:-----------|
| W. Jackson      | South Lanarkshire       | South Lanarkshire          | 1955-1-26  |
| W. Knock        | Lunenburg, Nova Scotia  | Halifax, Nova Scotia       | 1988-02-11 |
| V. Wood         | Manitoba                | Manitoba                   | 1979-09-10 |
| V. Wetterström  | Stockholm               | Stockholm                  | 1956-05-11 |
| V. Peters       | Steinbach, Manitoba     | Winnipeg                   | 2016-03-27 |
| T. Murray       | South Lanarkshire       | South Lanarkshire          | 1944-6-3   |
| S. Penwarden    | Manitoba                | Manitoba                   | 1930-05-23 |
| R. Singbush     | Manitoba                | Manitoba                   | 1950-12-29 |
| R. H. Pickering | Wilcox, Saskatchewan    | Alberta                    | 2015-06-24 |
| P. Canivet      | Paris                   | Garches                    | 1982-1-25  |
| P. Wood         | Manitoba                | Manitoba                   | 1978-12-28 |
| N. Harrison     | Ontario                 | Ontario                    | 2014-02-24 |
| M. Macneill     | Maitland, Nova Scotia   | Halifax, Nova Scotia       | 1951-02-16 |
| M. Campbell     | Saint-Hyacinthe, Quebec | Trois-Rivières             | 2014-7-4   |
| M. Frederickson | Manitoba                | Manitoba                   | 1992-04-28 |
| L. Dagg         | Tisdale, Saskatchewan   | Kelowna                    | 1975-05-14 |
| L. Campbell     | Avonlea, Saskatchewan   | Emerald Park, Saskatchewan | 2016-05-25 |
| L. Wood         | Manitoba                | Manitoba                   | 1965-09-17 |
| L. Johnson      | Manitoba                | Manitoba                   | 1970-11-08 |
| L. Johnson      | Manitoba                | Manitoba                   | 1976-03-06 |
| L. Jackson      | South Lanarkshire       | South Lanarkshire          | 1984-7-27  |
| K. Watson       | Manitoba                | Manitoba                   | 1986-07-26 |
| K. Stearne      | Alberta                 | Adelaide                   | 2016-05-09 |

Head column: col0

Tail column: col2



col_a_id: 0
col_b_id: 2
col_a_name: col0
col_b_name: col2
label: http://dbpedia.org/ontology/deathPlace
csv: v16_133
case_id: 861
Task: equi-join-detect (source dataset: Auto-BI)

Your are given a database with related tables used for business intelligence analysis. Your task is to identify all key/foreign-key join relationships between the tables for this database. Recall that a join is a relationship between two tables, that allows rows from one table to be combined with rows from another, based on a set of common join columns.
 
 
No explanation needed. Please return all join relationships in the following JSON format:
{
  "joins": [
    {
      "from_table": "table-1",
      "from_column": "column-1",
      "to_table": "table-2",
      "to_column": "column-3"
    }, 
	...
  ]
}

Tables:

Table: Diabetes
|   Year | State                |   Number |
|-------:|:---------------------|---------:|
|   2009 | Alabama              |   431459 |
|   2009 | Alaska               |    29607 |
|   2009 | Arizona              |   407339 |
|   2009 | Arkansas             |   218692 |
|   2009 | California           |  2550223 |
|   2009 | Colorado             |   215598 |
|   2009 | Connecticut          |   176551 |
|   2009 | Delaware             |    53717 |
|   2009 | District of Columbia |    35306 |
|   2009 | Florida              |  1558407 |


Table: IsSelectedFlag
| Flag   |
|:-------|
| Y      |
| N      |


Table: Population
| State         |   Population |
|:--------------|-------------:|
| Massachusetts |      6859819 |
| Connecticut   |      3588184 |
| Maine         |      1335907 |
| New Hampshire |      1342795 |
| Rhode Island  |      1059639 |
| Vermont       |       623657 |
| New England   |     14810001 |
| New York      |     19849399 |
| Pennsylvania  |     12805537 |
| New Jersey    |      9005644 |


Table: State
| State                |
|:---------------------|
| Alabama              |
| Alaska               |
| Arizona              |
| Arkansas             |
| California           |
| Colorado             |
| Connecticut          |
| Delaware             |
| District of Columbia |
| Florida              |


Table: StateSlicer
| State                |
|:---------------------|
| Alabama              |
| Alaska               |
| Arizona              |
| Arkansas             |
| California           |
| Colorado             |
| Connecticut          |
| Delaware             |
| District of Columbia |
| Florida              |


Table: Year
|   Year |
|-------:|
|   2009 |
|   2010 |
|   2011 |
|   2012 |
|   2013 |
|   2014 |
|   2015 |

 


tables: name: Diabetes
data: Diabetes.csv
name: IsSelectedFlag
data: IsSelectedFlag.csv
name: Population
data: Population.csv
name: State
data: State.csv
name: StateSlicer
data: StateSlicer.csv
name: Year
data: Year.csv
label: Diabetes
State
State
State
Population
State
State
State
output: {
    "joins": [
        {
            "from_table": "Diabetes",
            "from_column": "State",
            "to_table": "State",
            "to_column": "State"
        },
        {
            "from_table": "Population",
            "from_column": "State",
            "to_table": "State",
            "to_column": "State"
        }
    ]
}
Task: equi-join-detect (source dataset: Auto-BI)

Your are given a database with related tables used for business intelligence analysis. Your task is to identify all key/foreign-key join relationships between the tables for this database. Recall that a join is a relationship between two tables, that allows rows from one table to be combined with rows from another, based on a set of common join columns.
 
 
No explanation needed. Please return all join relationships in the following JSON format:
{
  "joins": [
    {
      "from_table": "table-1",
      "from_column": "column-1",
      "to_table": "table-2",
      "to_column": "column-3"
    }, 
	...
  ]
}

Tables:

Table: Age
|   AgeOrder | Age   |
|-----------:|:------|
|          0 | 0-14  |
|         15 | 15-19 |
|         20 | 20-59 |
|         60 | 60+   |


Table: Country
| Country   |
|:----------|
| A         |
| B         |
| C         |
| D         |
| E         |
| F         |
| G         |
| H         |
| I         |
| J         |


Table: Gender
| Gender   |
|:---------|
| Male     |
| Female   |


Table: Statistics
| Country   | Gender   | Age   |   Count |
|:----------|:---------|:------|--------:|
| A         | Male     | 0-14  |      23 |
| A         | Male     | 15-19 |      22 |
| A         | Male     | 20-59 |      18 |
| A         | Male     | 60+   |      47 |
| B         | Male     | 0-14  |      15 |
| B         | Male     | 15-19 |      28 |
| B         | Male     | 20-59 |      22 |
| B         | Male     | 60+   |      18 |
| C         | Male     | 0-14  |      38 |
| C         | Male     | 15-19 |      34 |

 


tables: name: Age
data: Age.csv
name: Country
data: Country.csv
name: Gender
data: Gender.csv
name: Statistics
data: Statistics.csv
label: Statistics
Country
Country
Country
Statistics
Gender
Gender
Gender
Statistics
Age
Age
Age
output: {
    "joins": [
        {
            "from_table": "Statistics",
            "from_column": "Country",
            "to_table": "Country",
            "to_column": "Country"
        },
        {
            "from_table": "Statistics",
            "from_column": "Gender",
            "to_table": "Gender",
            "to_column": "Gender"
        },
        {
            "from_table": "Statistics",
            "from_column": "Age",
            "to_table": "Age",
            "to_column": "Age"
        }
    ]
}