PREFIX schema: <http://schema.org/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?itemLabel ?description ?occupationLabel WHERE {
  wd:Q9200 rdfs:label ?itemLabel .
  FILTER ( LANG( ?itemLabel ) = "en" ) wd:Q9200 schema:description ?description .
  FILTER ( LANG( ?description ) = "en" ) OPTIONAL {
    wd:Q9200 wdt:P106 ?occupation .
  }
  OPTIONAL {
    ?occupation rdfs:label ?occupationLabel .
    FILTER ( LANG( ?occupationLabel ) = "en" )
  }
}
LIMIT 10

Got 7 rows and 3 columns:
| itemLabel             | description                                                      | occupationLabel       |
| --------------------- | ---------------------------------------------------------------- | --------------------- |
| Paul the Apostle (en) | Early Christian apostle and missionary (c. AD 5 – c. 64/65) (en) | theologian (en)       |
| Paul the Apostle (en) | Early Christian apostle and missionary (c. AD 5 – c. 64/65) (en) | artisan (en)          |
| Paul the Apostle (en) | Early Christian apostle and missionary (c. AD 5 – c. 64/65) (en) | rabbi (en)            |
| Paul the Apostle (en) | Early Christian apostle and missionary (c. AD 5 – c. 64/65) (en) | missionary (en)       |
| Paul the Apostle (en) | Early Christian apostle and missionary (c. AD 5 – c. 64/65) (en) | traveler (en)         |
| Paul the Apostle (en) | Early Christian apostle and missionary (c. AD 5 – c. 64/65) (en) | writer (en)           |
| Paul the Apostle (en) | Early Christian apostle and missionary (c. AD 5 – c. 64/65) (en) | religious figure (en) |

Saint Paul the Apostle (Paul the Apostle) was an early Christian apostle and missionary who lived approximately from AD 5 to AD 64/65. He was a theologian, artisan, rabbi, missionary, traveler, writer, and religious figure.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] who was saint paul the apostle?

[Assistant]
To answer the question "Who was Saint Paul the Apostle?" I need to identify the entity corresponding to Saint Paul the Apostle in Wikidata and then retrieve relevant information about him, such as his description, occupation, and notable attributes.

Step 1: Search for the entity "Saint Paul the Apostle" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Paul the Apostle, also known as Saul of Tarsus, Saulus, Šā'ûl, Saul, Saint Paulus (wd:Q9200): Early Christian apostle and missionary (c. AD 5 – c. 64/65), religious figure, missionary, theologian, traveler, artisan, writer, rabbi
2. San Paolo convent, also known as Saint Paul the Apostle, San Paolo (Ferrara) - Convent (wd:Q124151525): convent at the church of San Paolo, Ferrara, Italy
3. San Paolo al Cimitero, also known as Saint Paul the Apostle (wd:Q123987072): religious building at the cemetery of Sassari, Italy
4. San Paolo, also known as Saint Paul the Apostle (wd:Q118516744): religious building in Biancareddu, Sassari, Italy
5. Saint Paul the Apostle (wd:Q19859112): painting by José Ferraz de Almeida Júnior
6. Saint Paul the Apostle (wd:Q118591287): painting by Spanish School, Wellcome Collection
7. The apostle Saint Paul (wd:Q121546195): painting by Anthony van Dyck
8. St. Paul the Apostle Church, also known as Saint Paul the Apostle Church (wd:Q7591285): church in New York, United States
9. Saint Paul the Apostle writing (wd:Q123163634): painting by Lambert Jacobsz
10. Church of St Paul, 1651 Shettleston Road, Glasgow, also known as 1651 Shettleston Road, Church Of St Paul, Church of Saint Paul the Apostle (wd:Q17815655): church building in Glasgow, Scotland, UK

[Assistant] The entity "Paul the Apostle" (wd:Q9200) in Wikidata corresponds to Saint Paul the Apostle, who was an early Christian apostle and missionary. Now, I will retrieve relevant information about Paul the Apostle, such as his description, occupation, and notable attributes.

[Tool]
Got 7 rows and 4 columns:
| item | itemLabel             | description                                                      | occupationLabel       |
| ---- | --------------------- | ---------------------------------------------------------------- | --------------------- |
|      | Paul the Apostle (en) | Early Christian apostle and missionary (c. AD 5 – c. 64/65) (en) | theologian (en)       |
|      | Paul the Apostle (en) | Early Christian apostle and missionary (c. AD 5 – c. 64/65) (en) | artisan (en)          |
|      | Paul the Apostle (en) | Early Christian apostle and missionary (c. AD 5 – c. 64/65) (en) | rabbi (en)            |
|      | Paul the Apostle (en) | Early Christian apostle and missionary (c. AD 5 – c. 64/65) (en) | missionary (en)       |
|      | Paul the Apostle (en) | Early Christian apostle and missionary (c. AD 5 – c. 64/65) (en) | traveler (en)         |
|      | Paul the Apostle (en) | Early Christian apostle and missionary (c. AD 5 – c. 64/65) (en) | writer (en)           |
|      | Paul the Apostle (en) | Early Christian apostle and missionary (c. AD 5 – c. 64/65) (en) | religious figure (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The answer correctly identifies Saint Paul the Apostle and provides a concise summary of who he was, including his approximate lifetime and roles. The SPARQL query is appropriate: it retrieves the English label, description, and occupations of Paul the Apostle from Wikidata. The query respects the rules by returning identifiers and labels, uses proper filtering for English language, and includes optional occupation labels. The execution result matches the answer given. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?school ?schoolLabel WHERE {
  wd:Q182658 wdt:P69 ?school .
  OPTIONAL {
    ?school rdfs:label ?schoolLabel FILTER ( LANG( ?schoolLabel ) = "en" )
  }
}

Got 5 rows and 2 columns:
| school                                            | schoolLabel                              |
| ------------------------------------------------- | ---------------------------------------- |
| University of Alabama (wd:Q492318)                | University of Alabama (en)               |
| University of Utah Health Care (wd:Q56582915)     | University of Utah Health Care (en)      |
| Huntingdon College (wd:Q5945112)                  | Huntingdon College (en)                  |
| Monroe County High School (wd:Q6902164)           | Monroe County High School (en)           |
| University of Alabama School of Law (wd:Q7895034) | University of Alabama School of Law (en) |

Harper Lee attended Monroe County High School for high school.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] where did harper lee attend high school?

[Assistant]
To answer the question "Where did Harper Lee attend high school?" I need to:

1. Identify the entity for "Harper Lee" in Wikidata.
2. Find the property related to high school attendance or education at the high school level.
3. Query the high school attended by Harper Lee.

First, I will search for the entity "Harper Lee" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Harper Lee, also known as Nelle Harper Lee (wd:Q182658): American author, prose writer, screenwriter, poet lawyer, novelist, musician, writer, actor
2. Lee Harper, also known as Lee Charles Philip Harper (wd:Q6513809): Footballer and manager (born 1971), association football manager, association football player
3. Lee Harper (wd:Q1811814): American musician (1945–2010), jazz guitarist, musician
4. Ron Harper, also known as Ronald Lee Harper (wd:Q7363883): Canadian politician, politician
5. Harper B. Lee, also known as Harper Baylor Lee, James Harper Gillett (wd:Q3127694): American matador (1884-1941), matador
6. Harper Lee Award (wd:Q107354207): award for Alabama writers
7. Harper Lee Kaye (wd:Q88315759): researcher
8. Jonathan Lee Harper (wd:Q102342439): Ph.D. Montana State University 2007
9. Eric Harper, also known as Eric Lee Harper (wd:Q116510885): guitarist, composer, musician
10. Gloria Harper Lee (wd:Q117517845): Cousin of Monica Hargrove, interviewee of Dartmouth Black Lives

[Assistant] I have identified the entity for Harper Lee as wd:Q182658. Next, I will search for properties related to high school attendance or education for this entity. I will search for properties related to "high school" for the entity Harper Lee (wd:Q182658).

[Tool]
Top 10 property alternatives:
1. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as p/wdt): educational institution attended by subject, affiliation
2. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as p/wdt): specialization of a person or organization; see P106 for the occupation, interested in
3. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work
4. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
5. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
6. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
7. sibling, also known as is sister of, is the brother of, is the sibling of, is the sister of, sib (wd:P3373 as p/wdt): the subject and the object have at least one common parent (brot...law, etc.) and step-siblings (step-brothers, step-sisters, etc.), relative
8. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
9. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
10. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic

No other items found

[Assistant] The property "educated at" (wdt:P69) is the relevant property for the educational institution attended by Harper Lee, which can include high school. I will now query the educational institutions attended by Harper Lee (wd:Q182658) using this property.

[Tool]
Got 5 rows and 2 columns:
| school                                            | schoolLabel                              |
| ------------------------------------------------- | ---------------------------------------- |
| University of Alabama (wd:Q492318)                | University of Alabama (en)               |
| University of Utah Health Care (wd:Q56582915)     | University of Utah Health Care (en)      |
| Huntingdon College (wd:Q5945112)                  | Huntingdon College (en)                  |
| Monroe County High School (wd:Q6902164)           | Monroe County High School (en)           |
| University of Alabama School of Law (wd:Q7895034) | University of Alabama School of Law (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves all educational institutions attended by Harper Lee, including Monroe County High School, which is the relevant high school. The answer provided is accurate and complete based on the query results. The query also appropriately includes labels for readability. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?childhoodHome ?childhoodHomeLabel ?location ?locationLabel WHERE {
  wd:Q207 wdt:P551 ?childhoodHome .
  OPTIONAL {
    ?childhoodHome rdfs:label ?childhoodHomeLabel FILTER ( LANG( ?childhoodHomeLabel ) = "en" )
  }
  OPTIONAL {
    ?childhoodHome wdt:P131 ?location .
    OPTIONAL {
      ?location rdfs:label ?locationLabel FILTER ( LANG( ?locationLabel ) = "en" )
    }
  }
  FILTER ( CONTAINS( LCASE( ?childhoodHomeLabel ) , "childhood home" ) )
}

Got 2 rows and 4 columns:
| childhoodHome                               | childhoodHomeLabel                 | location             | locationLabel |
| ------------------------------------------- | ---------------------------------- | -------------------- | ------------- |
| George W. Bush Childhood Home (wd:Q1508408) | George W. Bush Childhood Home (en) | Texas (wd:Q1439)     | Texas (en)    |
| George W. Bush Childhood Home (wd:Q1508408) | George W. Bush Childhood Home (en) | Midland (wd:Q128321) | Midland (en)  |

George W. Bush lived as a child in Midland, Texas, where his childhood home is located.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] where did george w bush live as a child?

[Assistant]
To answer the question "Where did George W. Bush live as a child?", I need to identify the entity for George W. Bush and find properties related to his childhood residence or places he lived during his childhood.

Step 1: Search for the entity "George W. Bush" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. George W. Bush, also known as GWB, POTUS 43, George Bush, President Bush, Bush Jr. (wd:Q207): President of the United States from 2001 to 2009, motivational speaker, rugby union player, military officer, autobiographer, businessperson, statesperson, politician, financier, painter
2. George Washington Bush, also known as George W. Bush (wd:Q5545944): American pioneer, husbandry worker, employee, pioneer, trapper, farmer
3. George W. Bush (wd:Q104844437): 2020 television documentary film
4. George W. Bush (wd:Q111279895): episode of Dokument utifrån
5. George W. Bush (wd:Q47513370): painting by Robert A. Anderson
6. George W. Bush, also known as George Washington Bush (wd:Q94496272): operator of George W. Bush & Son, a shipping business in Delaware, United States (1824-1900), consignor, director, merchant
7. George H. W. Bush, also known as G H W Bush, George W. Bush Senior, GHWB, GHW Bush, G.H.W. Bush (wd:Q23505): President of the United States from 1989 to 1993, baseball player, aircraft pilot, autobiographer, naval officer, statesperson, entrepreneur, politician, diplomat
8. George W. Bush Presidential Center, also known as GWB Library, GWB Presidential Library, George W. Bush Presidential Library, George W. Bush Library, Bush Presidential Library (wd:Q1508430): Presidential library and museum for U.S. President George W. Bush, located in Dallas, Texas
9. George W. Bush Administration cabinet, also known as Bush Cabinet, George W. Bush Cabinet, Cabinet of George W. Bush, Cabinet George W. Bush, Cabinet Bush (wd:Q28464532): most senior appointed officers of the executive branch of the fe...ent of the United States under the George W. Bush Administration
10. USS George W. Bush (wd:Q131753450): planned Gerald R. Ford-class aircraft carrier

[Assistant] The entity for George W. Bush is wd:Q207. Now I need to find properties related to where he lived as a child. This could be properties like "place of residence" or "childhood home" or similar. I will search for properties of George W. Bush related to residence or childhood.

[Tool]
Top 10 property alternatives:
1. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as p/wdt): the place where the person is or has been, resident, location
2. family, also known as royal house, noble family, member of family, house, dynasty (wd:P53 as p/wdt): family, including dynasty and nobility houses. Not family name (use P734 for family name)., member of
3. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
4. child, also known as has son, kids, mother of, kid, issue (wd:P40 as p/wdt): subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039), significant person, relative
5. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as p/wdt): location where persons or organisations were actively participating in employment, business or other work, significant place, location
6. mother, also known as mom, is child of, mommy, mum, mummy (wd:P25 as p/wdt): female parent of the subject. For stepmother, use "stepparent" (P3448), parent
7. father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as p/wdt): male parent of the subject. For stepfather, use "stepparent" (P3448), parent
8. number of children, also known as children, children (number), how many children, issue, kids (wd:P1971 as p/wdt): number of children of the person, animal, or character
9. sibling, also known as is sister of, is the brother of, is the sibling of, is the sister of, sib (wd:P3373 as p/wdt): the subject and the object have at least one common parent (brot...law, etc.) and step-siblings (step-brothers, step-sisters, etc.), relative
10. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country

No other items found

[Assistant] The property "residence" (wdt:P551) is the most relevant for finding where George W. Bush lived. However, this property does not specify the time period of residence. I will query for the places of residence of George W. Bush and check if any of them are related to his childhood.

[Tool]
Got 2 rows and 2 columns:
| residence                                   | residenceLabel                     |
| ------------------------------------------- | ---------------------------------- |
| George W. Bush Childhood Home (wd:Q1508408) | George W. Bush Childhood Home (en) |
| Dallas (wd:Q16557)                          | Dallas (en)                        |

[Assistant] George W. Bush has a residence listed as "George W. Bush Childhood Home" (wd:Q1508408) and also Dallas (wd:Q16557). The childhood home is likely the place where he lived as a child. I will now query for the location or address of the "George W. Bush Childhood Home" to provide a more specific answer.

[Tool] Got no rows and 2 columns

[Assistant] The "George W. Bush Childhood Home" does not have a direct location property (wdt:P276) specified. I will try to get the label and description of the childhood home entity itself to gather more information about its location.

[Tool]
Got 1 row and 3 columns:
| item | itemLabel                          | itemDescription                                       |
| ---- | ---------------------------------- | ----------------------------------------------------- |
|      | George W. Bush Childhood Home (en) | historic place in Midland, Midland County, Texas (en) |

[Assistant]
The George W. Bush Childhood Home is a historic place located in Midland, Midland County, Texas. This indicates that George W. Bush lived in Midland, Texas as a child.

I will now finalize the answer.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly identifies George W. Bush's childhood home as 'George W. Bush Childhood Home' (wd:Q1508408), but it does not retrieve the location of this home, which is important to fully answer the question about where he lived as a child. The query attempts to get the location via property P276 but the result is empty. To improve, the query should be refined to ensure it retrieves the location (e.g., Midland, Texas) associated with the childhood home. Also, the query could be simplified by directly querying for the place of residence during childhood or by using more specific properties or qualifiers if available. Including the location label in the final answer would make it more informative and complete.

[Assistant] Thank you for the feedback. I will refine the query to better retrieve the location of George W. Bush's childhood home. Since the direct property P276 (location) did not yield results, I will try to get the statement about the childhood home and check for any qualifiers or linked entities that specify the location, such as the place where the childhood home is situated (e.g., Midland, Texas). I will also include the label of the location in the final answer for completeness.

[Tool]
Got 2 rows and 4 columns:
| childhoodHome                               | childhoodHomeLabel                 | location             | locationLabel |
| ------------------------------------------- | ---------------------------------- | -------------------- | ------------- |
| George W. Bush Childhood Home (wd:Q1508408) | George W. Bush Childhood Home (en) | Texas (wd:Q1439)     | Texas (en)    |
| George W. Bush Childhood Home (wd:Q1508408) | George W. Bush Childhood Home (en) | Midland (wd:Q128321) | Midland (en)  |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves George W. Bush's childhood home and its location, including Midland, Texas. The answer is accurate and complete based on the query results. The query uses appropriate properties and filters to find the childhood home and its administrative location. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?governmentType ?governmentTypeLabel WHERE {
  wd:Q408 wdt:P122 ?governmentType .
  OPTIONAL {
    ?governmentType rdfs:label ?governmentTypeLabel FILTER ( LANG( ?governmentTypeLabel ) = "en" )
  }
}

Got 3 rows and 2 columns:
| governmentType                        | governmentTypeLabel           |
| ------------------------------------- | ----------------------------- |
| representative democracy (wd:Q188759) | representative democracy (en) |
| constitutional monarchy (wd:Q41614)   | constitutional monarchy (en)  |
| federation (wd:Q43702)                | federation (en)               |

Australia has a government that is a combination of representative democracy, constitutional monarchy, and federation.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] what type of government does australia have?

[Assistant] To answer the question about the type of government Australia has, I need to identify the entity for Australia and the property that relates to the type of government or government system it has. I will start by searching for the entity "Australia" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Australia, also known as AU, The Commonwealth of Australia, Stria, Straya, Stralia (wd:Q408): country in Oceania
2. Australian continent, also known as New Holland, Sahul, Nova Hollandia, Meganesia, Australinea (wd:Q3960): continent in the Earth's Southern Hemisphere
3. Australia (wd:Q275180): 2008 film by Baz Luhrmann
4. Australia (wd:Q205546): 1989 film by Jean-Jacques Andrien
5. Australia (wd:Q4823546): 1996 single by Manic Street Preachers
6. Australia (wd:Q781244): board game
7. Australia (wd:Q16835533): Racehorse
8. Australia, also known as Australia (KA–5) (wd:Q4823541): yacht that raced in the Americas Cup
9. Australia (wd:Q4823543): 2000 album by Howie Day
10. Australia (wd:Q25907685): albedo feature on the planet Mercury

[Assistant] The entity for Australia as a country is wd:Q408. Next, I will search for properties related to the type of government or government system for this entity. I will search for properties of Australia (wd:Q408) with the query "government type".

[Tool]
Top 10 property alternatives:
1. basic form of government, also known as form of government, government, type of government (wd:P122 as p/wdt): subject's government
2. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as p/wdt): seat of government of a country, province, state or other type of administrative territorial entity
3. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as p/wdt): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson
4. office held by head of government, also known as title of head of government, position of head of government, office of head of government, head of government's office, position held by head of government (wd:P1313 as p/wdt): political office that is fulfilled by the head of the government of this item
5. office held by head of state, also known as head of state, position held by head of state, state headed by (wd:P1906 as p/wdt): political office that is fulfilled by the head of state of this item
6. main regulatory text, also known as regulated by, statutory authorization, statutory authority, legally established by, legal basis (wd:P92 as p/wdt): text setting the main rules by which the subject is regulated
7. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
8. executive body, also known as executive branch (wd:P208 as p/wdt): branch of government for the daily administration of the territorial entity
9. head of state, also known as leader, state headed by, monarch, president, queen (wd:P35 as p/wdt): official with the highest formal authority in a country/state, director / manager, chairperson
10. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

No other items found

[Assistant] The property "basic form of government" (wdt:P122) seems to be the most relevant to the question about the type of government Australia has. I will now construct a SPARQL query to get the value of this property for Australia (wd:Q408).

[Tool]
Got 3 rows and 2 columns:
| governmentType                        | governmentTypeLabel           |
| ------------------------------------- | ----------------------------- |
| representative democracy (wd:Q188759) | representative democracy (en) |
| constitutional monarchy (wd:Q41614)   | constitutional monarchy (en)  |
| federation (wd:Q43702)                | federation (en)               |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the types of government for Australia using the property 'basic form of government' (wdt:P122). The results include representative democracy, constitutional monarchy, and federation, which matches the human-readable answer. The query also includes English labels for better readability. The answer is complete and accurate based on the data from Wikidata. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?team ?teamLabel ( IF( EXISTS {
  ?team wdt:P31 wd:Q18558301
}
, "college team" , "professional team" ) AS ?teamType ) WHERE {
  wd:Q611891 wdt:P54 ?team .
  FILTER ( ?team != wd:Q320484 ) .
  OPTIONAL {
    ?team rdfs:label ?teamLabel FILTER ( LANG( ?teamLabel ) = "en" )
  }
  ?team wdt:P31 wd:Q17156793 .
}

Got 3 rows and 3 columns:
| team                                   | teamLabel                     | teamType          |
| -------------------------------------- | ----------------------------- | ----------------- |
| New Orleans Saints (wd:Q172435)        | New Orleans Saints (en)       | professional team |
| Minnesota Vikings (wd:Q221150)         | Minnesota Vikings (en)        | professional team |
| Ole Miss Rebels football (wd:Q7085897) | Ole Miss Rebels football (en) | college team      |

Archie Manning played for the following teams: New Orleans Saints and Minnesota Vikings as professional teams in the NFL, and Ole Miss Rebels football as a college team.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] what team did peyton manning's dad play for?

[Assistant] Step 1: Identify the entity "Peyton Manning's dad." Peyton Manning's dad is Archie Manning. I will search for "Archie Manning" in Wikidata to get his entity ID.

[Tool]
Top 10 entity alternatives:
1. Archie Manning, also known as Elisha Archibald Manning III (wd:Q611891): American football player (born 1949), American football player
2. Manning, also known as Manning, IA, Manning, Iowa (wd:Q2233616): city in Iowa, USA
3. Archie, also known as Archie, Missouri, Archie, MO (wd:Q965391): city in Cass County, Missouri, United States
4. Manning, also known as Manning, SC, Manning, South Carolina (wd:Q2025061): city in South Carolina, USA
5. Manning, also known as Manning, ND, Manning, North Dakota (wd:Q3286067): census-designated place in Dunn County, North Dakota, United States
6. Archie (wd:Q633739): FTP search engine
7. Manning (wd:Q955573): town in Alberta
8. Manning, also known as Manning, OR (wd:Q1354455): unincorporated community in Washington County, Oregon, United States
9. Manning, also known as Manning (surname) (wd:Q14629485): family name
10. Raymond Brendan Manning, also known as Manning, Raymond Manning, Raymond B. Manning, Raymond B Manning, Ray Manning (wd:Q3420704): American zoologist specializing in crustaceans (1934-2000), carcinologist, zoologist

[Assistant]
The entity for Archie Manning, Peyton Manning's dad, is wd:Q611891.

Step 2: Now I need to find the team(s) Archie Manning played for. I will search for properties related to "team" or "played for" for the entity Archie Manning.

[Tool]
Top 10 property alternatives:
1. member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as p/wdt): sports teams or clubs that the subject represents or represented, member of
2. position played on team / speciality, also known as position (on team), speciality, specialism, position, player position (wd:P413 as p/wdt): position or specialism of a player on a team
3. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as p/wdt): educational institution attended by subject, affiliation
4. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as p/wdt): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
5. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with
6. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work
7. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
8. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
9. family, also known as royal house, noble family, member of family, house, dynasty (wd:P53 as p/wdt): family, including dynasty and nobility houses. Not family name (use P734 for family name)., member of
10. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as p/wdt): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person

No other items found

[Assistant]
The property "member of sports team" (wdt:P54) is the relevant property for the team Archie Manning played for.

Step 3: I will now write a SPARQL query to find the sports teams Archie Manning (wd:Q611891) played for using the property wdt:P54.

[Tool]
Got 4 rows and 2 columns:
| team                                   | teamLabel                     |
| -------------------------------------- | ----------------------------- |
| New Orleans Saints (wd:Q172435)        | New Orleans Saints (en)       |
| Minnesota Vikings (wd:Q221150)         | Minnesota Vikings (en)        |
| Tennessee Titans (wd:Q320484)          | Tennessee Titans (en)         |
| Ole Miss Rebels football (wd:Q7085897) | Ole Miss Rebels football (en) |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves the teams that Archie Manning played for. However, the answer includes 'Tennessee Titans' and 'Ole Miss Rebels football', which are not accurate in this context. Archie Manning played for the New Orleans Saints and Minnesota Vikings in the NFL, and Ole Miss Rebels is a college team, not a professional team. Also, Tennessee Titans is incorrect; Archie Manning did not play for them. The query should be refined to exclude incorrect teams and possibly distinguish between professional and college teams if relevant. Additionally, the answer should clarify that Archie Manning played for the New Orleans Saints and Minnesota Vikings in the NFL, and for Ole Miss Rebels in college football.

[Assistant]
Thank you for the feedback. I will refine the query to distinguish between professional NFL teams and the college team Archie Manning played for. I will filter the teams by their instance types to separate professional teams (NFL teams) from college teams (college football teams).

Step 1: I will first check the instance types of the teams returned in the previous query to identify how to distinguish professional NFL teams from college teams. I will query the instance types (wdt:P31) of the teams New Orleans Saints, Minnesota Vikings, Tennessee Titans, and Ole Miss Rebels football.

[Tool]
Got 5 rows and 4 columns:
| team                                   | teamLabel                     | instanceType                          | instanceTypeLabel           |
| -------------------------------------- | ----------------------------- | ------------------------------------- | --------------------------- |
| New Orleans Saints (wd:Q172435)        | New Orleans Saints (en)       | American football team (wd:Q17156793) | American football team (en) |
| Minnesota Vikings (wd:Q221150)         | Minnesota Vikings (en)        | American football team (wd:Q17156793) | American football team (en) |
| Tennessee Titans (wd:Q320484)          | Tennessee Titans (en)         | American football team (wd:Q17156793) | American football team (en) |
| Ole Miss Rebels football (wd:Q7085897) | Ole Miss Rebels football (en) | American football team (wd:Q17156793) | American football team (en) |
| Ole Miss Rebels football (wd:Q7085897) | Ole Miss Rebels football (en) | college sports team (wd:Q18558301)    | college sports team (en)    |

[Assistant]
All four teams have the instance type "American football team" (wd:Q17156793). The Ole Miss Rebels football team also has the instance type "college sports team" (wd:Q18558301), which distinguishes it as a college team.

Step 2: To refine the query, I will separate the teams into two groups: professional teams (American football teams that are not college sports teams) and college teams (American football teams that are also college sports teams).

I will write a query that returns the teams Archie Manning played for, along with a label indicating whether the team is a college team or a professional team.

[Tool]
Got 4 rows and 3 columns:
| team                                   | teamLabel                     | teamType          |
| -------------------------------------- | ----------------------------- | ----------------- |
| New Orleans Saints (wd:Q172435)        | New Orleans Saints (en)       | professional team |
| Minnesota Vikings (wd:Q221150)         | Minnesota Vikings (en)        | professional team |
| Tennessee Titans (wd:Q320484)          | Tennessee Titans (en)         | professional team |
| Ole Miss Rebels football (wd:Q7085897) | Ole Miss Rebels football (en) | college team      |

[Assistant]
The query still returns Tennessee Titans as a professional team, which is incorrect for Archie Manning. I will check if there is a property or qualifier that indicates the time period or specific team membership for Archie Manning to exclude Tennessee Titans.

Step 3: I will list the statements for the property "member of sports team" (wdt:P54) for Archie Manning to see if there are qualifiers indicating the time period or specific team membership details.

[Tool]
Got 4 rows and 3 columns:
| subject                     | property                        | object                                 |
| --------------------------- | ------------------------------- | -------------------------------------- |
| Archie Manning (wd:Q611891) | member of sports team (wdt:P54) | Minnesota Vikings (wd:Q221150)         |
| Archie Manning (wd:Q611891) | member of sports team (wdt:P54) | Tennessee Titans (wd:Q320484)          |
| Archie Manning (wd:Q611891) | member of sports team (wdt:P54) | New Orleans Saints (wd:Q172435)        |
| Archie Manning (wd:Q611891) | member of sports team (wdt:P54) | Ole Miss Rebels football (wd:Q7085897) |

[Assistant] The property wdt:P54 does not have qualifiers in this listing. I will try to get the full statements with qualifiers for the property P54 for Archie Manning to check if there is any qualifier that can help exclude Tennessee Titans.

[Tool]
Got 4 rows and 3 columns:
| subject                     | property                      | object                                         |
| --------------------------- | ----------------------------- | ---------------------------------------------- |
| Archie Manning (wd:Q611891) | member of sports team (p:P54) | s:q611891-1D197984-BA0C-4879-BC5A-76F1159D1AD4 |
| Archie Manning (wd:Q611891) | member of sports team (p:P54) | s:q611891-6D599E2E-98DA-4BE0-BD98-5A7563613974 |
| Archie Manning (wd:Q611891) | member of sports team (p:P54) | s:q611891-7FD88D8E-2750-460C-9394-494512F3FEA6 |
| Archie Manning (wd:Q611891) | member of sports team (p:P54) | s:Q611891-FFA94866-E284-46E4-92D6-DD3E49EC1C93 |

[Assistant] There are statement nodes for the property "member of sports team" for Archie Manning. I will now check the details of these statements to see if there are qualifiers or references that can help identify the correct teams. I will query the statements and their qualifiers for the property P54 for Archie Manning.

[Tool]
Got 4 rows and 5 columns:
| statement                                      | team                                   | teamLabel                     | startTime | endTime |
| ---------------------------------------------- | -------------------------------------- | ----------------------------- | --------- | ------- |
| s:q611891-1D197984-BA0C-4879-BC5A-76F1159D1AD4 | New Orleans Saints (wd:Q172435)        | New Orleans Saints (en)       |           |         |
| s:q611891-6D599E2E-98DA-4BE0-BD98-5A7563613974 | Minnesota Vikings (wd:Q221150)         | Minnesota Vikings (en)        |           |         |
| s:q611891-7FD88D8E-2750-460C-9394-494512F3FEA6 | Tennessee Titans (wd:Q320484)          | Tennessee Titans (en)         |           |         |
| s:Q611891-FFA94866-E284-46E4-92D6-DD3E49EC1C93 | Ole Miss Rebels football (wd:Q7085897) | Ole Miss Rebels football (en) |           |         |

[Assistant]
The statements for the teams do not have start or end times to distinguish the periods Archie Manning played for each team. However, based on known historical facts, Archie Manning did not play for the Tennessee Titans; he played for the New Orleans Saints and Minnesota Vikings in the NFL, and for Ole Miss Rebels in college.

Step 4: I will refine the query to exclude the Tennessee Titans explicitly by filtering out that team from the results. I will also keep the distinction between professional and college teams.

Refined query: Get teams Archie Manning played for excluding Tennessee Titans, and indicate if they are college or professional teams.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified Archie Manning as Peyton Manning's dad and retrieved the teams he played for, including both professional NFL teams (New Orleans Saints and Minnesota Vikings) and his college team (Ole Miss Rebels football). The SPARQL query is well-constructed, filtering out irrelevant teams and distinguishing between college and professional teams. The answer is complete, accurate, and well-supported by the query results.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?author ?authorLabel WHERE {
  wd:Q83099 wdt:P676 ?author .
  OPTIONAL {
    ?author rdfs:label ?authorLabel FILTER ( LANG( ?authorLabel ) = "en" )
  }
}

The author (lyricist) of Jana Gana Mana, the national anthem of India, is Rabindranath Tagore.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] who wrote the jana gana mana?

[Assistant]
The question is asking for the author of "Jana Gana Mana," which is the national anthem of India. I need to find the entity representing "Jana Gana Mana" and then find the property that relates it to its author or writer.

Step 1: Search for the entity "Jana Gana Mana" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Jana Gana Mana (wd:Q83099): national anthem of India
2. Jana Gana Mana (wd:Q112072761): 2022 film directed by Dijo Jose Antony
3. Jana Gana Mana (wd:Q80196923): musical score approved for Indian national anthem
4. Jana Gana Mana (wd:Q6150500): 2012 film
5. Jana Gana Mana (wd:Q112274393): Telegu film
6. Jana Gana Mana (wd:Q121757500): 1942 radio performance
7. Jana Gana Mana Video (wd:Q6150505): national anthem
8. Jana Gana Mana Adhinayaka Jaya He (wd:Q121756199): vocal track by Amala Dutt, Nandita Devi, Sudhin Dutt & Santi Ghosh; 1934 studio recording
9. Jana Gana Mana Adhinayaka Jaya He (wd:Q121763513)
10. Manas Jana (wd:Q93070394): researcher (ORCID 0000-0003-3178-0647), researcher

[Assistant] The entity "Jana Gana Mana" as the national anthem of India is wd:Q83099. Next, I will search for the property that relates this entity to its author or writer. Common properties for authorship include "author," "writer," or "composer." I will search for properties related to "author" or "writer" for this entity.

[Tool]
Top 10 property alternatives:
1. lyricist, also known as text poet, writer (of song lyrics), words by, text writer, text by (wd:P676 as p/wdt): author of song lyrics, author
2. composer, also known as music by, written by, songwriter, musical score by, film score by (wd:P86 as p/wdt): person(s) who wrote the music [for lyricist, use "lyrics by" (P676)], creator
3. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as p/wdt): date or point in time when a work was first published or released, point in time
4. title, also known as name, titled, page name, original title, known as (wd:P1476 as p/wdt): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
5. tonality, also known as in key, key, key of musical composition, key used, musical key (wd:P826 as p/wdt): key of a musical composition
6. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as p/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
7. based on, also known as modelled after, inspired by, iteration of, modeled after, fork of (wd:P144 as p/wdt): the work(s) or inputs used as the basis for subject item; for fictional analog use P1074, references work, tradition or theory, inspired by
8. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as p/wdt): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
9. permanent duplicated item, also known as same concept as, same as, duplicate of, permanently duplicated item, duplicate of item (wd:P2959 as p/wdt): this item duplicates another item and the two can't be merged, a... cdowiki, gomwiki, nanwiki).  Use P31=Q17362920 for other wikis.
10. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

No other items found

[Assistant] The property wd:P676 (lyricist) is used for the author of song lyrics, which fits the question about who wrote the lyrics of "Jana Gana Mana." I will now query the author (lyricist) of the national anthem of India (wd:Q83099) using this property.

[Tool]
Got 1 row and 2 columns:
| author                         | authorLabel              |
| ------------------------------ | ------------------------ |
| Rabindranath Tagore (wd:Q7241) | Rabindranath Tagore (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the author (lyricist) of the national anthem Jana Gana Mana using the property wdt:P676 (lyricist) from the Wikidata entity wd:Q83099. The query also optionally fetches the English label of the author. The answer provided, Rabindranath Tagore, is accurate and matches the query result. The query follows the rules by returning the identifier and label, and the answer is complete and correct.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?team ?teamLabel WHERE {
  wd:Q25369 wdt:P647 ?team .
  OPTIONAL {
    ?team rdfs:label ?teamLabel FILTER ( LANG( ?teamLabel ) = "en" )
  }
}

Kobe Bryant was drafted by the Charlotte Hornets.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] who was kobe bryant drafted by?

[Assistant] To answer the question "Who was Kobe Bryant drafted by?" I need to find the entity for Kobe Bryant and then find the property related to the draft or drafted by in the knowledge graph. I will start by searching for the entity "Kobe Bryant" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Kobe Bryant, also known as Kobe Bean Bryant, Kobe B. Bryant, Kobe, KB24, Black Mamba (wd:Q25369): American basketball player (1978–2020), professional athlete, basketball player, screenwriter
2. Kobe Bryant Day (wd:Q98969272): proposed Federal Holiday
3. death of Kobe Bryant, also known as Kobe Bryant death, Kobe Bryant's death (wd:Q83737550): 26 January 2020 death of Kobe Bryant in helicopter crash
4. Kobe Bryant Boulevard (wd:Q107299206): proposed street renaming in Los Angeles
5. NBA All-Star Game Kobe Bryant Most Valuable Player Award, also known as Kobe Bryant Most Valuable Player Award, Kobe Bryant MVP Award, NBA All-Star Game Kobe Bryant MVP Award (wd:Q31391): basketball award of the National Basketball Association (NBA)
6. Kobe Bryant China Fund (wd:Q6424297): for education, sports, and culture programs for children from China and the United States
7. Statue of Kobe Bryant (wd:Q125101336): sculpture in Los Angeles, California, U.S
8. Kobe Bryant/Ice Cube (wd:Q125446155): episode of All That (S4 E19)
9. Kobe Bryant sexual assault case (wd:Q6424298): legal case
10. Kobe Bryant in NBA Courtside (wd:Q3198120): 1998 video game

[Assistant] The entity for Kobe Bryant is wd:Q25369. Now I will search for properties related to "draft" or "drafted by" for this entity to find the relevant property that indicates who drafted Kobe Bryant.

[Tool]
Top 10 property alternatives:
1. drafted by (wd:P647 as p/wdt): which team the player was drafted by
2. The Draft Review ID, also known as Draft Review identifier, The Draft Review identifier, Draft Review ID (wd:P9514 as p/wdt): identifier for a basketball player in the database of The Draft Review
3. DraftExpress ID, also known as draftexpress.com ID (wd:P3533 as p/wdt): identifier for a basketball player at draftexpress.com
4. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as p/wdt): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
5. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with
6. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
7. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
8. league or competition, also known as tournament, sports league, division, cup, competition (wd:P118 as p/wdt): league or competition in which team or player has played, or in which an event occurs, participant in
9. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
10. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception

No other items found

[Assistant] The property "drafted by" (wdt:P647) is the relevant property to find which team drafted Kobe Bryant. I will now write a SPARQL query to find the team that drafted Kobe Bryant (wd:Q25369) using this property.

[Tool]
Got 1 row and 2 columns:
| team                           | teamLabel              |
| ------------------------------ | ---------------------- |
| Charlotte Hornets (wd:Q163480) | Charlotte Hornets (en) |

[Assistant] Kobe Bryant was drafted by the Charlotte Hornets. I will now provide the final answer with the SPARQL query.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly uses the property 'drafted by' (wdt:P647) to find the team that drafted Kobe Bryant (wd:Q25369). The query returns the identifier and English label of the team, which is the Charlotte Hornets, matching the known fact. The answer is accurate and complete. No further refinement is needed.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?author ?authorLabel WHERE {
  wd:Q36766 wdt:P50 ?author .
  OPTIONAL {
    ?author rdfs:label ?authorLabel FILTER ( LANG( ?authorLabel ) = "en" )
  }
}

The Gospel according to John (wd:Q36766) was written by John the Apostle (wd:Q44015).

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] who wrote the gospel according to john?

[Assistant]
To answer the question "Who wrote the gospel according to John?", I need to find the author of the Gospel of John in Wikidata.

Step 1: Search for the entity "Gospel of John" in Wikidata to get its identifier.

[Tool]
Top 10 entity alternatives:
1. Gospel of John, also known as John (Bible), The Gospel according to John, Gospel according to John, Bible. John (wd:Q36766): book of the New Testament
2. The Gospel of John, also known as The Life of Jesus, The Visual Bible: The Gospel of John, Gospel of John (wd:Q1169141): 2003 film by Philip Saville
3. The Gospel of John, also known as Gospel of John (wd:Q48674664): 2014 film
4. Great Gospel of John (wd:Q1549156): literary work
5. The Gospel of John (wd:Q116607833): academic book chapter
6. Gospel and Revelation of John, also known as Evangelium und Offenbarung Johannis (wd:Q69419702): three windows with stained glass in the St. John's church in Bern, Switzerland
7. Exploring the Gospel of John (wd:Q117222924): book
8. St Cuthbert Gospel, also known as Cuthbert Gospel, St Cuthbert Gospel of St John, Stonyhurst Gospel (wd:Q2985561): early 8th-century pocket gospel book
9. Tractates on the Gospel of John (wd:Q30902334)
10. Gospel Book of the Archbishop John (wd:Q56611982): from the collection of Matenadaran. Archbishop John, the younges...man ordaining a deacon in this Gospel Book made for his own use.

[Assistant]
The entity "Gospel of John" in Wikidata is identified as wd:Q36766. Now, I will find the author of this entity by looking for the property related to "author" or "writer" of this book. The common property for author in Wikidata is P50 (author).

Step 2: Query the author (P50) of the Gospel of John (wd:Q36766).

[Tool]
Got 1 row and 2 columns:
| author                       | authorLabel           |
| ---------------------------- | --------------------- |
| John the Apostle (wd:Q44015) | John the Apostle (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the author of the Gospel according to John using the property wdt:P50 (author). The query returns the expected result, John the Apostle, along with the English label. The answer is accurate and complete. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?language ?languageLabel WHERE {
  wd:Q148 wdt:P37 ?language .
  ?language rdfs:label ?languageLabel
  FILTER ( LANG( ?languageLabel ) = "en" )
}
LIMIT 10

Got 3 rows and 2 columns:
| language                        | languageLabel           |
| ------------------------------- | ----------------------- |
| Standard Chinese (wd:Q727694)   | Standard Chinese (en)   |
| Chinese (wd:Q7850)              | Chinese (en)            |
| languages of China (wd:Q835866) | languages of China (en) |

The main language used in China is Standard Chinese.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] what is the main language used in china?

[Assistant]
To answer the question "What is the main language used in China?" I need to identify the entity for China and find the property related to the main or official language used in that country.

Step 1: Search for the entity "China" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. People's Republic of China, also known as Zhōngguó, The PRC, RPC, CHN, Red China (wd:Q148): country in East Asia
2. porcelain, also known as china, fine china (wd:Q130693): ceramic material
3. China, also known as All under Heaven, Zhonghua, Cathay, Zhongguo, Tianxia (wd:Q29520): cultural region, ancient civilization, and nation in East Asia, ...in political situation and rarely refer to the Republic of China
4. China, also known as Sinae, Zhonghua, Zhongguo, Tianxia, Middle Kingdom (wd:Q29520): cultural region, ancient civilization, and nation in East Asia, ...in political situation and rarely refer to the Republic of China
5. 1125 China, also known as (1125) China, China (wd:Q136211): asteroid
6. China, also known as China, TX, China, Texas (wd:Q288864): city in Jefferson County, Texas, United States
7. China, also known as China, Maine, China, ME (wd:Q3447500): town in Kennebec County, Maine, United States
8. China (wd:Q932423): town in Ōshima district, Kagoshima prefecture, Japan
9. Tianxia, also known as All under Heaven, Tien Hsia, T'ien Hsia, Tien-hsia, T'ien-hsia (wd:Q955223): Chinese cultural, philosophical, and political concept
10. China (wd:Q942154): municipality in the Nuevo León, Mexico

[Assistant] The entity for the country China is wd:Q148 (People's Republic of China). Next, I will search for properties related to the main or official language used in China. I will search for properties related to "language" for the entity China (wd:Q148).

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as p/wdt): language designated as official by this item, language used
2. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as p/wdt): language widely used (spoken or written) in this place or at this event or organisation
3. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
4. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as p/wdt): label for the items in their official language  or their original language, name
5. culture, also known as archaeological culture, civilisation, civilization (wd:P2596 as p/wdt): human culture or people (or several cultures) associated with this item, part of
6. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as p/wdt): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
7. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
8. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
9. Libraries Australia ID, also known as CNLKIN, NLA Kinetica Service identifier, NLA (Australia) identifier, NLA (Australia) ID, Libraries Australia identifier (wd:P409 as p/wdt): identifier issued by the National Library of Australia (see also...F component. Format: 1-12 digits, removing leading zero-padding.
10. Unicode character, also known as emoji, emote, pictograph, Unicode symbol (wd:P487 as p/wdt): Unicode character representing the item (only if this is not a c...acter or a compatiblity character: in that case, use only P4213)

No other items found

[Assistant] The properties "official language" (wdt:P37) and "language used" (wdt:P2936) seem relevant to the question about the main language used in China. I will now write a SPARQL query to get the official language(s) and languages used in China (wd:Q148). I will also include labels for readability.

[Tool]
SPARQL execution failed:
Invalid SPARQL query: The target variable ?language of an AS clause was already used before in the query body.

[Assistant] I made an error in the SPARQL query by using the same variable name in the BIND clause. I will fix the query by selecting official language and language used separately and then combine the results. I will also get their English labels.

[Tool]
Got 10 rows and 2 columns:
| language                            | languageLabel              |
| ----------------------------------- | -------------------------- |
| Wutun (wd:Q1012917)                 | Wutun (en)                 |
| Sani (wd:Q1055287)                  | Sani (en)                  |
| Chinese Sign Language (wd:Q1094190) | Chinese Sign Language (en) |
| Ache Yi (wd:Q10949828)              | Ache Yi (en)               |
| A-Hmao (wd:Q1108934)                | A-Hmao (en)                |
| Mulao (wd:Q11092831)                | Mulao (en)                 |
| Kim Mun (wd:Q1115317)               | Kim Mun (en)               |
| Tseku (wd:Q11159532)                | Tseku (en)                 |
| Awu Yi (wd:Q11163308)               | Awu Yi (en)                |
| Gejia (wd:Q11251864)                | Gejia (en)                 |

[Assistant] The query returned multiple languages used in China, but it does not clearly indicate the main or official language. I will refine the query to only get the official language (wdt:P37) of China (wd:Q148) and its label.

[Tool]
Got 3 rows and 2 columns:
| language                        | languageLabel           |
| ------------------------------- | ----------------------- |
| Standard Chinese (wd:Q727694)   | Standard Chinese (en)   |
| Chinese (wd:Q7850)              | Chinese (en)            |
| languages of China (wd:Q835866) | languages of China (en) |

[Assistant] The official languages of China include "Standard Chinese" and "Chinese." The main language used in China is commonly referred to as "Standard Chinese," which is the official language. I will now provide the final answer with the SPARQL query.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the official languages of China using the property wdt:P37. The answer 'Standard Chinese' is appropriate as it is the main official language used in China. The query also returns related languages, which is informative. The query follows the rules by returning identifiers and labels, and the answer is accurate and complete.