PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?coordinate WHERE {
  wd:Q3572 wdt:P625 ?coordinate .
}

Tunis (wd:Q3572) is located at the geographical coordinates POINT(10.180000 36.800833), which corresponds to approximately 36.8 degrees latitude and 10.18 degrees longitude on a map.

[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 is tunis on a map?

[Assistant]
The user is asking for the location of Tunis on a map. Tunis is the capital city of Tunisia. To answer this, I need to find the geographical coordinates or location of Tunis in the knowledge graph.

Step 1: Search for the entity "Tunis" in Wikidata to get its identifier.

[Tool]
Top 10 entity alternatives:
1. Tunis (wd:Q3572): capital of Tunisia
2. French protectorate of Tunisia, also known as Protectorat français de Tunisie, Tunis, Tunisia (wd:Q2017684): 1881-1956 monarchy in Northern Africa
3. Tunis, also known as American Tunis (wd:Q7853119): sheep breed
4. Tunis (wd:Q14222206): village in the Egyptian depression of el-Faiyum
5. Tunis (wd:Q12203526): village in Sohag Governorate, Egypt
6. Tunis (wd:Q96411338): census Designated Place in Texas, United States
7. TUNIS (wd:Q7672034): UNIX-like operating system developed at the University of Toronto
8. Tunis (wd:Q26199309): human settlement in Oman
9. Tunis (wd:Q47457038): given name
10. Tunis (wd:Q16902089): human settlement in Unorganized North Cochrane District, Ontario, Canada

[Assistant] I found the entity for Tunis as wd:Q3572, which is the capital of Tunisia. Next, I will query the geographical location (coordinates) of Tunis from Wikidata. The property for coordinates is usually wdt:P625. I will write a SPARQL query to get the coordinates of Tunis.

[Tool]
Got 1 row and 1 column:
| ?coordinate                |
| -------------------------- |
| POINT(10.180000 36.800833) |

[Tool] Stopped generation process


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:Q96 wdt:P37 ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel FILTER ( LANG( ?languageLabel ) = "en" )
  }
}

Got 4 rows and 2 columns:
| ?language                         | ?languageLabel      |
| --------------------------------- | ------------------- |
| Spanish (wd:Q1321)                | Spanish             |
| Nahuatl (wd:Q13300)               | Nahuatl             |
| Yucatec Maya (wd:Q13354)          | Yucatec Maya        |
| languages of Mexico (wd:Q1661395) | languages of Mexico |

The main language spoken in Mexico is Spanish (wd:Q1321), which is also an official language of the country.

[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 spoken in mexico?

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

Step 1: Search for the entity "Mexico" in Wikidata.
Step 2: Search for properties related to languages spoken or official languages for the entity Mexico.
Step 3: Construct a SPARQL query to retrieve the main language spoken in Mexico.

[Tool]
Top 10 entity alternatives:
1. Mexico, also known as US of M, United Mexican States, MXN, MX, Mexican United States (wd:Q96): country in North America
2. Mexico City, also known as CDMX, Mexico D.F., Mexico City, Mexico, Mexico, Ciudad de México (wd:Q1489): capital and largest city of Mexico
3. Mexico City, also known as CDMX, City of Mexico, Ciudad de México, Mexico D.F., Mexico (wd:Q1489): capital and largest city of Mexico
4. State of Mexico, also known as Mexico state, Mexico, Mexico, Edomexico, Edomex, Mexico (wd:Q82112): most populous state of Mexico
5. Mexico, also known as Mexico, MO, Mexico, Mo., Mexico, Missouri (wd:Q178652): city in and county seat of Audrain County, Missouri, USA
6. México, also known as Estados Unidos Méxicanos (wd:Q580061): EUM bicht
7. Mexico, also known as Mexico, ME (wd:Q3710682): town in Maine, United States
8. Mexico, also known as Mexico, Pampanga, Municipality of Mexico (wd:Q55712): municipality of the Philippines in the province of Pampanga
9. Mexico, also known as Mexico, IN (wd:Q2294975): census-designated place in Indiana
10. Mexico, also known as Mexico, PA, Mexico, Pennsylvania, Mexico, Juniata County, Pennsylvania (wd:Q1182352): census-designated place in central Juniata County, Pennsylvania

[Assistant] The entity for the country Mexico is wd:Q96. Next, I will search for properties related to languages spoken or official languages for the entity Mexico (wd:Q96). This will help me identify the property to use in the SPARQL query to find the main language spoken in Mexico.

[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 wdt/p): 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 wdt/p): 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 wdt/p): 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 wdt/p): 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 relevant properties for languages spoken in Mexico are:
- official language (wdt:P37): language designated as official by this item
- language used (wdt:P2936): language widely used (spoken or written) in this place or at this event or organisation

I will first query the official language(s) of Mexico using property wdt:P37. If needed, I can later check the languages widely used with wdt:P2936.

[Tool]
Got 4 rows and 2 columns:
| ?language                         | ?languageLabel      |
| --------------------------------- | ------------------- |
| Spanish (wd:Q1321)                | Spanish             |
| Nahuatl (wd:Q13300)               | Nahuatl             |
| Yucatec Maya (wd:Q13354)          | Yucatec Maya        |
| languages of Mexico (wd:Q1661395) | languages of Mexico |

[Assistant] The official languages of Mexico include Spanish, Nahuatl, and Yucatec Maya. Among these, Spanish is the main and most widely spoken language. To confirm this, I will check the languages widely used in Mexico using the property wdt:P2936.

[Tool]
Got 290 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?language                                     | ?languageLabel                 |
| --------------------------------------------- | ------------------------------ |
| Tlahuica (wd:Q10751739)                       | Tlahuica                       |
| Huarijio (wd:Q10974017)                       | Huarijio                       |
| Chazumba Mixtec (wd:Q12182838)                | Chazumba Mixtec                |
| Ipalapa Amuzgo (wd:Q12633013)                 | Ipalapa Amuzgo                 |
| San Marcos Tlacoyalco Popoloca (wd:Q12641692) | San Marcos Tlacoyalco Popoloca |
| ...                                           | ...                            |
| Zaachila Zapotec (wd:Q8063390)                | Zaachila Zapotec               |
| Zacatepec Chatino (wd:Q8063754)               | Zacatepec Chatino              |
| Zacatepec Mixtec (wd:Q8063756)                | Zacatepec Mixtec               |
| Zaniza Zapotec (wd:Q8066220)                  | Zaniza Zapotec                 |
| Zoogocho Zapotec (wd:Q8074100)                | Zoogocho Zapotec               |

[Assistant]
The property wdt:P2936 lists many languages widely used in Mexico, including many indigenous languages. However, the main language spoken in Mexico is Spanish, which is also listed as an official language.

I will now provide the final answer that the main language spoken in Mexico is Spanish.

[Tool] Stopped generation process


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 ?invention ?inventionLabel WHERE {
  ?invention wdt:P61 wd:Q762 .
  OPTIONAL {
    ?invention rdfs:label ?inventionLabel FILTER ( LANG( ?inventionLabel ) = "en" )
  }
}
LIMIT 10

Got 8 rows and 2 columns:
| ?invention                                | ?inventionLabel             |
| ----------------------------------------- | --------------------------- |
| Leonardo's fighting vehicle (wd:Q1124226) | Leonardo's fighting vehicle |
| Leonardo's robot (wd:Q148270)             | Leonardo's robot            |
| sfumato (wd:Q210788)                      | sfumato                     |
| wd:Q24941172                              |                             |
| Clavi-viola (wd:Q3680332)                 | Clavi-viola                 |
| Coulomb friction (wd:Q473991)             | Coulomb friction            |
| Sasso Cavallo (wd:Q56103093)              | Sasso Cavallo               |
| Leonardo's crossbow (wd:Q871725)          | Leonardo's crossbow         |

Some of Leonardo da Vinci's most famous inventions include Leonardo's fighting vehicle, Leonardo's robot, sfumato (a painting technique), Clavi-viola, Coulomb friction, Sasso Cavallo, and Leonardo's crossbow.

[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 are some of leonardo da vinci most famous inventions?

[Assistant] To answer the question about Leonardo da Vinci's most famous inventions, I will first identify the entity for Leonardo da Vinci in Wikidata. Then, I will look for properties related to his inventions or works. Finally, I will retrieve some of his most famous inventions. Let's start by searching for the entity "Leonardo da Vinci" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Leonardo da Vinci (wd:Q762): Italian Renaissance polymath (1452−1519), architectural draftsperson, civil engineer, visual artist, mathematician, caricaturist, physiologist, philosopher, astronomer, architect, scientist, zoologist, anatomist, physicist, polymath, botanist, engineer, designer, composer, sculptor, inventor, diplomat, chemist, painter, writer
2. Leonardo da Vinci (wd:Q2530641): 1911 Conte di Cavour-class battleship
3. Leonardo da Vinci (wd:Q650366): 1939 Marconi-class submarine
4. Leonardo da Vinci: The Mind of the Renaissance, also known as Leonardo da Vinci (wd:Q101431569): 2001 documentary film by Jean-Claude Lubtchansky
5. Leonardo da Vinci (wd:Q18503359): human settlement
6. Leonardo da Vinci (wd:Q18498247): human settlement in Italy
7. Leonardo Da Vinci (wd:Q2115987): 1982 Sauro-class submarine
8. Rosa 'Leonardo da Vinci', also known as Leonardo da Vinci (wd:Q1819112): rose cultivar
9. RFA Maine, also known as Leonardo da Vinci (wd:Q3830354): steam ship
10. Leonardo da Vinci (wd:Q13749278): Dortmund –Milan passenger train

[Assistant] The entity for Leonardo da Vinci is wd:Q762. Now, I will search for properties related to inventions or works associated with Leonardo da Vinci to find relevant information about his famous inventions.

[Tool]
Top 10 property alternatives:
1. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as p/wdt): notable scientific, artistic or literary work, or other work of significance among subject's works
2. occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt/p): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
3. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as wdt/p): specialization of a person or organization; see P106 for the occupation, interested in
4. depicted by, also known as acted by, shown in, seen in, portrayed by, played by (wd:P1299 as wdt/p): object depicting this subject (object being creative works such as books, films, paintings)
5. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
6. permanent duplicated item, also known as same concept as, same as, duplicate of, permanently duplicated item, duplicate of item (wd:P2959 as wdt/p): this item duplicates another item and the two can't be merged, a... cdowiki, gomwiki, nanwiki).  Use P31=Q17362920 for other wikis.
7. 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
8. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
9. movement, also known as subculture, trend, scientific movement, school, philosophical movement (wd:P135 as wdt/p): literary, artistic, scientific or philosophical movement or scen...ed with this person or work. For political ideologies use P1142.
10. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as wdt/p): main Wikimedia category

No other items found

[Assistant] The property "notable work" (wdt:P800) seems to be the most relevant for finding Leonardo da Vinci's famous inventions or works. I will now query for some of Leonardo da Vinci's notable works to identify his famous inventions.

[Tool]
Got 10 rows and 2 columns:
| ?notableWork                         | ?notableWorkLabel       |
| ------------------------------------ | ----------------------- |
| Annunciation (wd:Q1217213)           | Annunciation            |
| Mona Lisa (wd:Q12418)                | Mona Lisa               |
| The Last Supper (wd:Q128910)         | The Last Supper         |
| Annunciation (wd:Q154326)            | Annunciation            |
| Adoration of the Magi (wd:Q1638622)  | Adoration of the Magi   |
| Salvator Mundi (wd:Q1892745)         | Salvator Mundi          |
| Leonardo's aerial screw (wd:Q212042) | Leonardo's aerial screw |
| Vitruvian Man (wd:Q215486)           | Vitruvian Man           |
| Virgin of the Rocks (wd:Q269342)     | Virgin of the Rocks     |
| Lady with an Ermine (wd:Q474338)     | Lady with an Ermine     |

[Assistant] Leonardo da Vinci's notable works include paintings like Mona Lisa, The Last Supper, and Vitruvian Man, as well as inventions like Leonardo's aerial screw. To focus on his famous inventions, I will filter the notable works to those that are inventions or related to inventions. I will check the instance types of these notable works to identify which are inventions.

[Tool]
Got 20 rows and 3 columns, showing the first 5 and last 5 rows below:
| ?notableWork                             | ?notableWorkLabel           | ?instanceLabel                     |
| ---------------------------------------- | --------------------------- | ---------------------------------- |
| Annunciation (wd:Q154326)                | Annunciation                | artistic theme                     |
| Virgin of the Rocks (wd:Q269342)         | Virgin of the Rocks         | artistic theme                     |
| Leonardo's aerial screw (wd:Q212042)     | Leonardo's aerial screw     | invention                          |
| Virgin of the Rocks (wd:Q269342)         | Virgin of the Rocks         | group of paintings                 |
| Portrait of Isabella d'Este (wd:Q591128) | Portrait of Isabella d'Este | croquis                            |
| ...                                      | ...                         | ...                                |
| Adoration of the Magi (wd:Q1638622)      | Adoration of the Magi       | painting                           |
| Annunciation (wd:Q1217213)               | Annunciation                | painting                           |
| Annunciation (wd:Q154326)                | Annunciation                | religious and cultural festive day |
| Portrait of Isabella d'Este (wd:Q591128) | Portrait of Isabella d'Este | sketch                             |
| Head of a Woman (wd:Q797902)             | Head of a Woman             | sketch                             |

[Assistant] Among Leonardo da Vinci's notable works, "Leonardo's aerial screw" is classified as an invention. I will now retrieve more inventions by Leonardo da Vinci by querying for works that are instances of "invention" or related subclasses and are linked to him as notable works.

[Tool]
Got 1 row and 2 columns:
| ?invention                 | ?inventionLabel |
| -------------------------- | --------------- |
| Vitruvian Man (wd:Q215486) | Vitruvian Man   |

[Assistant] The query returned "Vitruvian Man" as an invention, but it is more of a famous drawing or study rather than a mechanical invention. Since the direct approach did not yield many inventions, I will try to find inventions or designs associated with Leonardo da Vinci by searching for entities that have Leonardo da Vinci as their inventor or creator. I will search for properties related to "inventor" or "creator" to find the right property to use.

[Tool]
Top 10 property alternatives:
1. discoverer or inventor, also known as inventor or discoverer, inventor, invented by, invented, introduced by (wd:P61 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): subject who discovered, first described, invented, or developed this discovery or invention or scientific hypothesis or theory
2. time of discovery or invention, also known as invented in, time of invention, time of discovery, invention time, invented on (wd:P575 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): date or point in time when the item was discovered or invented
3. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): notable scientific, artistic or literary work, or other work of significance among subject's works
4. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): founder or co-founder of this organization, religion, place or entity, creator
5. collection creator, also known as creator, archive creator, collector, archives of, archive of (wd:P6241 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): entity (person, organization, etc.) that caused a record or collection to be produced or gathered
6. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): maker of this creative work or other object (where no more specific property exists)
7. author, also known as writer, written by, poet, playwright, maker (wd:P50 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): main creator(s) of a written work (use on works, not humans); us...hor name string) when Wikidata item is unknown or does not exist, creator
8. Justia Patents inventor ID (wd:P3874 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): ID of an inventor in Justia Patents
9. author name string, also known as short author name, writer named as, writer name, writer indicated as, songwriting credits string (wd:P2093 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): stores unspecified author or editor name for publications; use i...or editor (P98) does not exist or is not known. Do not use both.
10. exhibited creator, also known as artist exhibited, exhibited artist (wd:P10661 as psv/wdtn/pr/ps/pqv/prv/prn/pq/wdt/psn/pqn/p): intellectual or creative entity (person or organization) responsible for the elements exhibited, creator

[Assistant] The property "discoverer or inventor" (wdt:P61) is the most relevant to find inventions by Leonardo da Vinci. I will now query for inventions where Leonardo da Vinci is listed as the inventor.

[Tool]
Got 8 rows and 2 columns:
| ?invention                                | ?inventionLabel             |
| ----------------------------------------- | --------------------------- |
| Leonardo's fighting vehicle (wd:Q1124226) | Leonardo's fighting vehicle |
| Leonardo's robot (wd:Q148270)             | Leonardo's robot            |
| sfumato (wd:Q210788)                      | sfumato                     |
| wd:Q24941172                              |                             |
| Clavi-viola (wd:Q3680332)                 | Clavi-viola                 |
| Coulomb friction (wd:Q473991)             | Coulomb friction            |
| Sasso Cavallo (wd:Q56103093)              | Sasso Cavallo               |
| Leonardo's crossbow (wd:Q871725)          | Leonardo's crossbow         |

[Assistant] Leonardo da Vinci's famous inventions include Leonardo's fighting vehicle, Leonardo's robot, sfumato (a painting technique), Clavi-viola, Coulomb friction, Sasso Cavallo, and Leonardo's crossbow. I will now provide these as the answer to the user.

[Tool] Stopped generation process


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 ?event ?eventLabel WHERE {
  ?event wdt:P1346 wd:Q461595 .
  ?event rdfs:label ?eventLabel
  FILTER ( LANG( ?eventLabel ) = "en" && CONTAINS( ?eventLabel , "World Series" ) )
}
ORDER BY ?eventLabel

The Atlanta Braves won the World Series in the years 1957, 1995, and 2021.

[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] when the atlanta braves won the world series?

[Assistant]
To answer the question "When did the Atlanta Braves win the World Series?" I need to find the entity for "Atlanta Braves" and then find the years or dates when they won the World Series. The World Series is a championship in Major League Baseball, so I will look for the property related to winning the World Series or championships for the Atlanta Braves.

Step 1: Search for the entity "Atlanta Braves" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Atlanta Braves, also known as Beaneaters, Rustlers, Milwaukee Braves, Doves, Braves (wd:Q461595): Major League Baseball team in Cumberland, Georgia
2. history of the Atlanta Braves, also known as Atlanta Braves history, the Atlanta Braves history (wd:Q5869099): aspect of history
3. WikiProject Atlanta Braves (wd:Q21829422): Wikimedia subject-area collaboration
4. Truist Park, also known as New Atlanta Braves stadium, Sun Trust Park, SunTrust Park (wd:Q17003430): baseball park in Atlanta metropolitan area
5. 2018 Atlanta Braves season (wd:Q43082437): Major League Baseball season
6. 2017 Atlanta Braves season (wd:Q28035215): Major League Baseball season
7. 2021 Atlanta Braves season (wd:Q104864718): Major League Baseball season
8. 2010 Atlanta Braves season (wd:Q3467949): Major League Baseball season
9. 2020 Atlanta Braves season (wd:Q73927645): Major League Baseball season
10. 2009 Atlanta Braves season (wd:Q3466473): Major League Baseball season

[Assistant] The entity for the Atlanta Braves baseball team is wd:Q461595. Next, I will search for properties related to winning the World Series or championships for this entity. I will search for properties related to "World Series" or "championship" for the Atlanta Braves.

[Tool]
Top 10 property alternatives:
1. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as wdt/p): home stadium or venue of a sports team or applicable performing arts organization, location
2. 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
3. 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
4. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, start time
6. SportsLogos.net team ID, also known as SportsLogos.net ID (wd:P9122 as p/wdt): identifier for a sports organization on the website Sports Logos
7. YouTube channel ID, also known as YouTube account, YouTube channel, YouTube channel identifier, official YouTube channel, youtube.com/channel/ (wd:P2397 as wdt/p): ID of the YouTube channel of a person or organisation (not to be...f the channel) The ID can also be used for music.youtube.com IDs, website username or ID
8. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as wdt/p): main Wikimedia category
9. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as wdt/p): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
10. logo image, also known as masthead, wordmark, trademark, trade mark, sign (wd:P154 as p/wdt): graphic mark or emblem commonly used by commercial enterprises, organizations and products, icon

No other items found

[Assistant] The search for properties related to "World Series" or "championship" for the Atlanta Braves did not return a direct property indicating the years they won the World Series. I will try a different approach: I will search for the entity "World Series" and then look for statements about the winners of the World Series to see if the Atlanta Braves are listed with corresponding years.

[Tool]
Top 10 entity alternatives:
1. World Series, also known as Fall Classic (wd:Q265538): Championship of Major League Baseball
2. World Series (wd:Q23945626): painting by Arnold Friedman
3. ATP World Tour 250 series, also known as ATP World Tour 250, International Series Tournaments, International Series tennis tournaments, International Series events, ATP World Series (wd:Q300017): tennis tournament category
4. Glory, also known as GLORY, Glory Kickboxing, Glory World Series (wd:Q892206): world-wide kickboxing promotion
5. 2004 World Series (wd:Q1341797): 100th edition of Major League Baseball's championship series
6. 2018 World Series (wd:Q56692089): 114th edition of Major League Baseball's championship series
7. 2009 World Series (wd:Q155391): 105th edition of Major League Baseball's championship series
8. 2001 World Series, also known as 2001 Major League Baseball World Series (wd:Q1207242): 97th edition of Major League Baseball's championship series
9. 2016 World Series (wd:Q24906838): 112th edition of Major League Baseball's championship series
10. 2015 World Series (wd:Q20648402): 111th edition of Major League Baseball's championship series

[Assistant] The entity for the World Series championship is wd:Q265538. Now I will look for statements about the winners of the World Series or the champions for this entity or for specific editions of the World Series. I will try to find the years when the Atlanta Braves (wd:Q461595) won the World Series (wd:Q265538). I will search for World Series editions where the winner is the Atlanta Braves.

[Tool]
Got 13 rows and 3 columns, showing the first 10 rows below:
| subject                                                  | property           | object                      |
| -------------------------------------------------------- | ------------------ | --------------------------- |
| National League East (wd:Q1360147)                       | winner (wdt:P1346) | Atlanta Braves (wd:Q461595) |
| 2021 Major League Baseball season (wd:Q104804976)        | winner (wdt:P1346) | Atlanta Braves (wd:Q461595) |
| 1995 Major League Baseball season (wd:Q1649741)          | winner (wdt:P1346) | Atlanta Braves (wd:Q461595) |
| 1995 World Series (wd:Q636375)                           | winner (wdt:P1346) | Atlanta Braves (wd:Q461595) |
| 2021 World Series (wd:Q108864102)                        | winner (wdt:P1346) | Atlanta Braves (wd:Q461595) |
| 1957 World Series (wd:Q987878)                           | winner (wdt:P1346) | Atlanta Braves (wd:Q461595) |
| 1957 Major League Baseball season (wd:Q4569021)          | winner (wdt:P1346) | Atlanta Braves (wd:Q461595) |
| 1999 National League Championship Series (wd:Q1001848)   | winner (wdt:P1346) | Atlanta Braves (wd:Q461595) |
| 1996 National League Championship Series (wd:Q1004378)   | winner (wdt:P1346) | Atlanta Braves (wd:Q461595) |
| 2021 National League Championship Series (wd:Q108857031) | winner (wdt:P1346) | Atlanta Braves (wd:Q461595) |
| ...                                                      | ...                | ...                         |

[Assistant]
The Atlanta Braves won the World Series in the following years according to the data:
- 1957 World Series (wd:Q987878)
- 1995 World Series (wd:Q636375)
- 2021 World Series (wd:Q108864102)

I will now construct a SPARQL query to retrieve the years (or dates) of the World Series editions won by the Atlanta Braves.

[Tool] Got no rows and 3 columns

[Assistant] The query did not return results because the World Series editions might not have a direct date property (wdt:P585). I will try to get the year from the label of the World Series entities instead, extracting the year from the label string. I will modify the query to return the World Series labels and the entities without filtering by date property.

[Tool] Got no rows and 2 columns

[Assistant] It seems that the World Series editions are not classified as instance of World Series (wd:Q265538). I will remove the instance constraint and just look for entities that have the winner property (wdt:P1346) with the Atlanta Braves (wd:Q461595) and have a label containing "World Series". This should give me the World Series editions won by the Atlanta Braves.

[Tool]
Got 3 rows and 2 columns:
| ?event                            | ?eventLabel       |
| --------------------------------- | ----------------- |
| 1957 World Series (wd:Q987878)    | 1957 World Series |
| 1995 World Series (wd:Q636375)    | 1995 World Series |
| 2021 World Series (wd:Q108864102) | 2021 World Series |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX schema: <http://schema.org/>
SELECT ?entity ?entityLabel ?description WHERE {
  VALUES ?entity {
    wd:Q37688 wd:Q39285
  }
  OPTIONAL {
    ?entity schema:description ?description FILTER ( LANG( ?description ) = "en" )
  }
  OPTIONAL {
    ?entity rdfs:label ?entityLabel FILTER ( LANG( ?entityLabel ) = "en" )
  }
}

Got 2 rows and 3 columns:
| ?entity                                    | ?entityLabel                   | ?description |
| ------------------------------------------ | ------------------------------ | ------------ |
| American Staffordshire Terrier (wd:Q37688) | American Staffordshire Terrier | dog breed    |
| Staffordshire Bull Terrier (wd:Q39285)     | Staffordshire Bull Terrier     | dog breed    |

Staffordshire Terriers refer to two main dog breeds: the American Staffordshire Terrier and the Staffordshire Bull Terrier. Both are recognized as dog breeds.

[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 are staffordshire terriers?

[Assistant] To answer the question "What are Staffordshire Terriers?" I need to find the entity representing Staffordshire Terriers in Wikidata and then retrieve a description or classification of them. Staffordshire Terriers are a type of dog breed, so I will first search for the entity "Staffordshire Terrier" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. American Staffordshire Terrier, also known as AmStaff, AST (wd:Q37688): dog breed
2. Staffordshire Bull Terrier, also known as Staffbull, Staffie (wd:Q39285): dog breed
3. Irish Staffordshire Bull Terrier, also known as Irish Bull Terrier (wd:Q21170233): dog breed
4. Myotonia in a Staffordshire terrier (wd:Q71829041): scientific article published on 01 July 1983
5. Cerebellar Degeneration in a Mature Staffordshire Terrier (wd:Q48184564): scientific article published on September 1, 2003
6. Juvenile-onset polyneuropathy in American Staffordshire Terriers (wd:Q57469076): article
7. L-2-Hydroxyglutaric aciduria in Staffordshire Bull Terriers (wd:Q48238065): scientific article
8. L-2-hydroxyglutaric aciduria in Staffordshire bull terriers. (wd:Q43538454): scientific article published in July 2003
9. Metabolic defect in Staffordshire bull terriers. (wd:Q48712167): scientific article published in October 2001
10. Staffordshire, also known as Staffs (wd:Q23105): ceremonial county in England

[Assistant] There are two main entities related to Staffordshire Terriers: "American Staffordshire Terrier" (wd:Q37688) and "Staffordshire Bull Terrier" (wd:Q39285). Both are dog breeds. The user question is general about Staffordshire Terriers, so I should provide information about these two breeds. I will now retrieve descriptions or classifications for these two entities to explain what Staffordshire Terriers are.

[Tool]
Got 2 rows and 3 columns:
| ?entity                                    | ?entityLabel                   | ?description |
| ------------------------------------------ | ------------------------------ | ------------ |
| American Staffordshire Terrier (wd:Q37688) | American Staffordshire Terrier | dog breed    |
| Staffordshire Bull Terrier (wd:Q39285)     | Staffordshire Bull Terrier     | dog breed    |

[Tool] Stopped generation process


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 ?college ?collegeLabel WHERE {
  wd:Q213346 wdt:P69 ?college .
  OPTIONAL {
    ?college rdfs:label ?collegeLabel FILTER ( LANG( ?collegeLabel ) = "en" )
  }
}

Got 2 rows and 2 columns:
| ?college                                 | ?collegeLabel              |
| ---------------------------------------- | -------------------------- |
| Gonzaga University (wd:Q1537303)         | Gonzaga University         |
| Gonzaga Preparatory School (wd:Q5582141) | Gonzaga Preparatory School |

John Stockton went to Gonzaga University and Gonzaga Preparatory 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] what college did john stockton go to?

[Assistant] To answer the question "What college did John Stockton go to?", I will first search for the entity "John Stockton" in Wikidata to identify his unique identifier. Then, I will look for the property related to the college or educational institution he attended.

[Tool]
Top 10 entity alternatives:
1. John Stockton, also known as Stock, John Houston Stockton (wd:Q213346): American basketball player, basketball player
2. John Stockton (wd:Q16859137): American politician, politician
3. John B. Stockton, also known as John Stockton (wd:Q111823261): United States Army officer who served in the Vietnam War, military officer
4. John R. Stockton, also known as John Stockton (wd:Q102201681): Ph.D. University of Texas at Austin 1951
5. John Stockton (wd:Q131855704): est. 29 Aug 1730 - Dec 1763
6. John Stockton (wd:Q131855727): est. 10 Aug 1674 - 1747
7. John Stockton (wd:Q76216769): Peerage person ID=611852
8. John Stockton (wd:Q98792855): UK election candidate in Altrincham and Sale West, politician
9. John Stockton, also known as Honorable John Stockton (wd:Q131841115): 1701-1758
10. John P. Stockton, also known as John Potter Stockton (wd:Q433837): American politician (1826-1900), politician, diplomat, lawyer

[Assistant] The entity "John Stockton" that matches the American basketball player is wd:Q213346. Next, I will search for the property related to the college or educational institution he attended. I will look for properties related to education or college for this entity.

[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. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt/p): the object is a country that recognizes the subject as its citizen, country
3. 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)
4. sport, also known as play, plays, sport played, sports (wd:P641 as wdt/p): sport that the subject participates or participated in or is associated with
5. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
6. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as wdt/p): the place where the person is or has been, resident, location
7. Sports Reference college basketball player ID, also known as Basketball-Reference.com NCAA player ID, NCAA player Basketball-Reference.com, Sports Reference college basketball player ID, Sports-Reference.com college basketball player ID, SR CBB player ID (wd:P3696 as wdt/p): identifier for a NCAA Division I college basketball player on the Sports-Reference.com college basketball website
8. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt/p): most specific known birth location of a person, animal or fictional character, location
9. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdt/p): date on which the subject was born, inception
10. 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

No other items found

[Assistant] The property "educated at" (wdt:P69) is the relevant property for the college or educational institution attended by John Stockton. I will now construct a SPARQL query to find the college John Stockton (wd:Q213346) attended using this property.

[Tool]
Got 2 rows and 2 columns:
| ?college                                 | ?collegeLabel              |
| ---------------------------------------- | -------------------------- |
| Gonzaga University (wd:Q1537303)         | Gonzaga University         |
| Gonzaga Preparatory School (wd:Q5582141) | Gonzaga Preparatory School |

[Tool] Stopped generation process


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 ?givenNameLabel ?familyNameLabel WHERE {
  wd:Q312581 wdt:P735 ?givenName .
  wd:Q312581 wdt:P734 ?familyName .
  ?givenName rdfs:label ?givenNameLabel .
  ?familyName rdfs:label ?familyNameLabel .
  FILTER ( LANG( ?givenNameLabel ) = "en" ) FILTER ( LANG( ?familyNameLabel ) = "en" )
}

Got 8 rows and 2 columns:
| ?givenNameLabel | ?familyNameLabel |
| --------------- | ---------------- |
| Casimir         | Stuart           |
| Sylvester       | Stuart           |
| Severino        | Stuart           |
| Maria           | Stuart           |
| Edward          | Stuart           |
| Louis           | Stuart           |
| Charles         | Stuart           |
| John            | Stuart           |

Bonnie Prince Charlie's full name is Charles Edward Stuart.

[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 was bonnie prince charlie full name?

[Assistant] To answer the question about Bonnie Prince Charlie's full name, I first need to identify the entity corresponding to "Bonnie Prince Charlie" in Wikidata. Then I will look for properties that might represent his full name. I will start by searching for the entity "Bonnie Prince Charlie" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Charles Edward Stuart, also known as The Young Pretender, The Young Chevalier, Charles III of England, Scotland, and Ireland, Charles III of England, Scotland and Ireland, Bonnie Prince Charlie (wd:Q312581): Jacobite pretender to the thrones of England, Scotland, Ireland, and France; (1720-1788), military leader, pretender
2. Bonnie Prince Charlie (wd:Q4942424): 1923 British silent historical film directed by Charles Calvert
3. Bonnie Prince Charlie (wd:Q4942426): 1948 film
4. Bonnie Prince Charlie (wd:Q58446788)
5. Bonnie Prince Charlie (1720–1788) (wd:Q119867964): painting by Louis Tocqué (1696–1772) (after), Kirkcaldy Galleries
6. Grevillea rosmarinifolia ‘Bonnie Prince Charlie’ (wd:Q104183391)
7. Bonnie Prince Charlie's Cave (wd:Q106963412): cave in Highland, Scotland, UK
8. Bonnie Prince Charlie (Prince Charles Edward Stuart, 1720–1788) (wd:Q119438652): painting by Roy Petrie (b.1946), Skye and Lochalsh Archive Centre (High Life Highland)
9. Flora MacDonald's Introduction to Bonnie Prince Charlie (wd:Q119729269): painting by Alexander Johnston (1815–1891), Museums Sheffield
10. Prince Charles Edward Stuart (1720–1788) ('Bonnie Prince Charlie') (wd:Q119947071): painting by unknown artist, Provand’s Lordship

[Assistant] The entity "Charles Edward Stuart" (wd:Q312581) is identified as Bonnie Prince Charlie, also known as The Young Pretender and other names. This entity represents the Jacobite pretender to the thrones of England, Scotland, Ireland, and France, who lived from 1720 to 1788. Now, I will look for properties related to the full name of this entity. I will search for properties of the entity wd:Q312581 that might represent the full name.

[Tool]
Top 10 property alternatives:
1. 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
2. family name, also known as clan name, last name, surname (wd:P734 as wdt/p): part of full name of person, name
3. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdt/p): date on which the subject was born, inception
4. name in native language, also known as native name (wd:P1559 as wdt/p): name of a person in their native language, name
5. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt/p): most specific known birth location of a person, animal or fictional character, location
6. Library of Congress authority ID, also known as LCSH Authority File ID, LC Name Authority ID, LCSH ID, LCSH LCCN, LC Subject Heading ID (wd:P244 as p/wdtn/wdt): Library of Congress name authority (persons, families, corporate...lowed by 8-10 digits (see regex). For manifestations, use P1144]
7. Libraries Australia ID, also known as CNLKIN, NLA Kinetica Service identifier, NLA (Australia) identifier, NLA (Australia) ID, Libraries Australia identifier (wd:P409 as wdt/p): identifier issued by the National Library of Australia (see also...F component. Format: 1-12 digits, removing leading zero-padding.
8. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as wdt/p): dissolved, abolished or demolished date, date on which the subject died, end time
9. Oxford Reference overview ID, also known as OR ID, ORO ID, Overview Oxford Reference ID, Overview Reference Oxford ID, Oxford Reference ID (wd:P12582 as p/wdt): identifier for an overview page for a topic in the Oxford Reference
10. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt/p): the object is a country that recognizes the subject as its citizen, country

No other items found

[Assistant] The properties "given name" (wdt:P735) and "family name" (wdt:P734) are relevant for constructing the full name of the person. I will now query the given name and family name of the entity Charles Edward Stuart (wd:Q312581) to find his full name.

[Tool]
Got 8 rows and 2 columns:
| ?givenNameLabel | ?familyNameLabel |
| --------------- | ---------------- |
| Casimir         | Stuart           |
| Sylvester       | Stuart           |
| Severino        | Stuart           |
| Maria           | Stuart           |
| Edward          | Stuart           |
| Louis           | Stuart           |
| Charles         | Stuart           |
| John            | Stuart           |

[Assistant] The given names associated with Charles Edward Stuart (Bonnie Prince Charlie) include Charles, Edward, Casimir, Sylvester, Severino, Maria, Louis, and John, and the family name is Stuart. The most commonly known full name is Charles Edward Stuart. I will now provide the answer with this full name.

[Tool] Stopped generation process


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 ?occupation ?occupationLabel ?position ?positionLabel WHERE {
  wd:Q11881 wdt:P106 ?occupation .
  OPTIONAL {
    wd:Q11881 wdt:P39 ?position .
  }
  OPTIONAL {
    ?occupation rdfs:label ?occupationLabel FILTER ( LANG( ?occupationLabel ) = "en" )
  }
  OPTIONAL {
    ?position rdfs:label ?positionLabel FILTER ( LANG( ?positionLabel ) = "en" )
  }
}
LIMIT 10

Got 10 rows and 4 columns:
| ?occupation               | ?occupationLabel | ?position                                                           | ?positionLabel                                       |
| ------------------------- | ---------------- | ------------------------------------------------------------------- | ---------------------------------------------------- |
| politician (wd:Q82955)    | politician       | President of the United States (wd:Q11696)                          | President of the United States                       |
| lawyer (wd:Q40348)        | lawyer           | President of the United States (wd:Q11696)                          | President of the United States                       |
| statesperson (wd:Q372436) | statesperson     | President of the United States (wd:Q11696)                          | President of the United States                       |
| statesperson (wd:Q372436) | statesperson     | Vice President of the United States (wd:Q11699)                     | Vice President of the United States                  |
| politician (wd:Q82955)    | politician       | Vice President of the United States (wd:Q11699)                     | Vice President of the United States                  |
| lawyer (wd:Q40348)        | lawyer           | Vice President of the United States (wd:Q11699)                     | Vice President of the United States                  |
| statesperson (wd:Q372436) | statesperson     | member of the United States House of Representatives (wd:Q13218630) | member of the United States House of Representatives |
| politician (wd:Q82955)    | politician       | member of the United States House of Representatives (wd:Q13218630) | member of the United States House of Representatives |
| lawyer (wd:Q40348)        | lawyer           | member of the United States House of Representatives (wd:Q13218630) | member of the United States House of Representatives |
| lawyer (wd:Q40348)        | lawyer           | member of the Virginia House of Delegates (wd:Q20065408)            | member of the Virginia House of Delegates            |

John Tyler (wd:Q11881) was a statesperson, politician, and lawyer by occupation. He held positions including President of the United States, Vice President of the United States, member of the United States House of Representatives, and member of the Virginia House of Delegates.

[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 was john tyler?

[Assistant]
The user is asking about "what was John Tyler?" which likely refers to the occupation or role of John Tyler. John Tyler was the 10th President of the United States, so the question is probably about his role or profession.

Step 1: Identify the entity "John Tyler" in Wikidata.
Step 2: Identify properties related to occupation or position held for John Tyler.
Step 3: Query the occupation or position held for John Tyler.

I will start by searching for the entity "John Tyler" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. John Tyler, also known as John Tyler, Jr., J. Tyler, President Tyler, John Tyler Jr, John Tyler, Jr (wd:Q11881): president of the United States from 1841 to 1845, statesperson, politician, lawyer
2. John Tyler, also known as John Tyler Sr. (wd:Q721855): United States federal judge (1747-1813), politician, lawyer, judge
3. John Tyler (wd:Q23620196): American ophthalmologist, ophthalmologist, politician, physician
4. John Tyler (wd:Q18210624): British bishop (1640–1724)
5. John W. Tyler, also known as John Tyler, Sir John William Tyler, John William Tyler (wd:Q106612962): British surgeon and superintendent of the central prison in Agra, India, surgeon
6. Tyler, John (wd:Q94970044): entry in Alumni Oxonienses: the Members of the University of Oxford, 1715-1886
7. Tyler John (wd:Q122291090): association football player, American soccer player
8. J.T. Adams, also known as John Tyler, John Tyler Adams (wd:Q112180375): American musician, blues musician
9. John Charles Roper Tyler, also known as John Tyler (wd:Q75312581): (born 1878)
10. John G. Tyler, also known as John Tyler (wd:Q111320947): American politician, politician

[Assistant] The most relevant entity for "John Tyler" is wd:Q11881, who was the president of the United States from 1841 to 1845, statesperson, politician, and lawyer. Now I will look for the occupation or position held by this entity. I will search for properties related to occupation or position held for John Tyler (wd:Q11881).

[Tool]
Top 10 property alternatives:
1. 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)
2. position held, also known as function, held position, holds position, job, office held (wd:P39 as wdt/p): subject currently or formerly holds the object position or public office
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt/p): the object is a country that recognizes the subject as its citizen, country
4. 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
5. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt/p): 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 wdt/p): date on which the subject was born, inception
7. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as wdt/p): the place where the person is or has been, resident, location
8. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as wdt/p): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
9. member of political party, also known as political party member, political party, party membership, party, member of party (wd:P102 as p/wdt): the political party of which a person is or has been a member or otherwise affiliated, member of
10. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as wdt/p): main Wikimedia category

No other items found

[Assistant] The relevant properties for John Tyler's role are "occupation" (wdt:P106) and "position held" (wdt:P39). I will query both occupation and position held for John Tyler (wd:Q11881) to get a comprehensive answer about what John Tyler was.

[Tool]
SPARQL execution failed:
Error while executing a SERVICE request to <http://wikiba.se:80/ontology#label>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '<html>
<head><title>301 Moved Permanently</title></head>
<body>
<center><h1>301 Moved Permanently'

[Assistant] The query failed because the SERVICE wikibase:label is not supported by the used QLever SPARQL endpoint. I will rewrite the query without using SERVICE wikibase:label and instead use optional rdfs:label to get labels for occupation and position.

[Tool]
Got 10 rows and 4 columns:
| ?occupation               | ?occupationLabel | ?position                                                           | ?positionLabel                                       |
| ------------------------- | ---------------- | ------------------------------------------------------------------- | ---------------------------------------------------- |
| politician (wd:Q82955)    | politician       | President of the United States (wd:Q11696)                          | President of the United States                       |
| lawyer (wd:Q40348)        | lawyer           | President of the United States (wd:Q11696)                          | President of the United States                       |
| statesperson (wd:Q372436) | statesperson     | President of the United States (wd:Q11696)                          | President of the United States                       |
| statesperson (wd:Q372436) | statesperson     | Vice President of the United States (wd:Q11699)                     | Vice President of the United States                  |
| politician (wd:Q82955)    | politician       | Vice President of the United States (wd:Q11699)                     | Vice President of the United States                  |
| lawyer (wd:Q40348)        | lawyer           | Vice President of the United States (wd:Q11699)                     | Vice President of the United States                  |
| statesperson (wd:Q372436) | statesperson     | member of the United States House of Representatives (wd:Q13218630) | member of the United States House of Representatives |
| politician (wd:Q82955)    | politician       | member of the United States House of Representatives (wd:Q13218630) | member of the United States House of Representatives |
| lawyer (wd:Q40348)        | lawyer           | member of the United States House of Representatives (wd:Q13218630) | member of the United States House of Representatives |
| lawyer (wd:Q40348)        | lawyer           | member of the Virginia House of Delegates (wd:Q20065408)            | member of the Virginia House of Delegates            |

[Tool] Stopped generation process


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 ?occupationLabel WHERE {
  wd:Q307 wdt:P106 ?occupation .
  OPTIONAL {
    ?occupation rdfs:label ?occupationLabel FILTER ( LANG( ?occupationLabel ) = "en" )
  }
}

Got 10 rows and 1 column:
| ?occupationLabel   |
| ------------------ |
| astronomer         |
| astrologer         |
| university teacher |
| physicist          |
| mathematician      |
| inventor           |
| polymath           |
| philosopher        |
| engineer           |
| scientist          |

Galileo Galilei was famous for being an astronomer, astrologer, university teacher, physicist, mathematician, inventor, polymath, philosopher, engineer, and scientist. He is notably known for his contributions such as the equations for a falling body and the Galilean transformation. He was also inducted into the International Space Hall of Fame, highlighting his significant impact on science and space exploration.

[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 galileo galilei was famous for?

[Assistant]
To answer the question "What was Galileo Galilei famous for?" I need to identify the entity for Galileo Galilei and then find the properties or statements that describe what he is famous for or known for. This could include his occupations, achievements, discoveries, or notable contributions.

Step 1: Search for the entity "Galileo Galilei" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Galileo Galilei (wd:Q307): Italian polymath (1564–1642), university teacher, mathematician, philosopher, astronomer, astrologer, scientist, physicist, engineer, inventor
2. Galileo, also known as Galileo Galilei (wd:Q3416348): 1968 film by Liliana Cavani
3. Galileo Galilei (wd:Q2483689): Japanese band
4. Galileo Galilei, also known as HMS X2 (wd:Q3757627): 1934 Archimede-class submarine
5. Galileo Galilei (wd:Q3094742): opera by Philip Glass
6. Portrait of Galileo Galilei, also known as Galileo, Galileo Galilei (wd:Q32904751): painting by Justus Sustermans circa 1636
7. Galileo Galilei (wd:Q48810529): classical lyceum in Pisa in the province of Pisa (Italy) [school id: PIPC00701T]
8. Galileo Galilei (wd:Q3757625): 1909 silent short film
9. Galileo Galilei (wd:Q3757624)
10. Galileo Galilei (wd:Q19198238): German article in Die Gartenlaube, 1855, no. 23

[Assistant] The entity for Galileo Galilei is wd:Q307. Now I will look for properties or statements that describe what he was famous for. This could include his occupations, notable works, or achievements. I will start by checking his occupations.

[Tool]
Got 10 rows and 2 columns:
| ?occupation                      | ?occupationLabel   |
| -------------------------------- | ------------------ |
| astronomer (wd:Q11063)           | astronomer         |
| astrologer (wd:Q155647)          | astrologer         |
| university teacher (wd:Q1622272) | university teacher |
| physicist (wd:Q169470)           | physicist          |
| mathematician (wd:Q170790)       | mathematician      |
| inventor (wd:Q205375)            | inventor           |
| polymath (wd:Q270141)            | polymath           |
| philosopher (wd:Q4964182)        | philosopher        |
| engineer (wd:Q81096)             | engineer           |
| scientist (wd:Q901)              | scientist          |

[Assistant]
Galileo Galilei was famous for being an astronomer, astrologer, university teacher, physicist, mathematician, inventor, polymath, philosopher, engineer, and scientist. These occupations reflect his diverse contributions and achievements.

To provide a more specific answer about what he was famous for, I will look for notable discoveries or contributions associated with him. I will check for any notable works or discoveries linked to Galileo Galilei.

[Tool]
Got 2 rows and 2 columns:
| ?notableWork                               | ?notableWorkLabel            |
| ------------------------------------------ | ---------------------------- |
| equations for a falling body (wd:Q1132975) | equations for a falling body |
| Galilean transformation (wd:Q219207)       | Galilean transformation      |

[Assistant]
Galileo Galilei is notably famous for the "equations for a falling body" and the "Galilean transformation." These are significant contributions in physics and mathematics.

To give a more comprehensive answer, I will also check for any notable discoveries or inventions linked to him.

[Tool] Got no rows and 2 columns

[Assistant] There are no direct entries for discoveries linked to Galileo Galilei using the property "discovered" (P1346). I will try to find other notable contributions or achievements by checking for awards or honors he received, which might indicate what he was famous for.

[Tool]
Got 1 row and 2 columns:
| ?award                                          | ?awardLabel                      |
| ----------------------------------------------- | -------------------------------- |
| International Space Hall of Fame (wd:Q99951011) | International Space Hall of Fame |

[Assistant]
Galileo Galilei was inducted into the International Space Hall of Fame, which indicates his significant contributions to science and space-related fields.

To summarize what Galileo Galilei was famous for, I will combine his occupations, notable works, and the recognition he received.

[Tool] Stopped generation process