PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?university ?studentCount ?universityLabel WHERE {
  ?university wdt:P31 wd:Q3918 ; wdt:P2196 ?studentCount .
  FILTER ( ?studentCount > 200000 ) OPTIONAL {
    ?university rdfs:label ?universityLabel .
    FILTER ( LANG( ?universityLabel ) = 'en' )
  }
}

Got 7 rows and 3 columns:
| ?university                                                | ?studentCount | ?universityLabel                           |
| ---------------------------------------------------------- | ------------- | ------------------------------------------ |
| National Open University of Nigeria, Lafia (wd:Q131290725) | 500000        | National Open University of Nigeria, Lafia |
| University of Phoenix (wd:Q1889100)                        | 420000        | University of Phoenix                      |
| Cairo University (wd:Q194445)                              | 257200        | Cairo University                           |
| National Autonomous University of Mexico (wd:Q222738)      | 360883        | National Autonomous University of Mexico   |
| Ain Shams University (wd:Q2723670)                         | 220000        | Ain Shams University                       |
| Allama Iqbal Open University (wd:Q3694529)                 | 1326266       | Allama Iqbal Open University               |
| Universitas Terbuka (wd:Q7894421)                          | 525360        | Universitas Terbuka                        |

The universities with more than 200,000 students are:
- [National Open University of Nigeria, Lafia](http://www.wikidata.org/entity/Q131290725) with 500,000 students
- [University of Phoenix](http://www.wikidata.org/entity/Q1889100) with 420,000 students
- [Cairo University](http://www.wikidata.org/entity/Q194445) with 257,200 students
- [National Autonomous University of Mexico](http://www.wikidata.org/entity/Q222738) with 360,883 students
- [Ain Shams University](http://www.wikidata.org/entity/Q2723670) with 220,000 students
- [Allama Iqbal Open University](http://www.wikidata.org/entity/Q3694529) with 1,326,266 students
- [Universitas Terbuka](http://www.wikidata.org/entity/Q7894421) with 525,360 students

[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] Which universities have more than 200000 students?

[Assistant] To answer this question, I first need to identify the entity representing "university" and the property representing "number of students". I'll start by searching for the property related to the number of students.

[Tool]
Top 10 property alternatives:
1. count of students, also known as count of pupils, count of students, enrollment, number of pupils, number of pupils or students (wd:P2196 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): number of pupils or students of any type in an educational organ...evious years normal rank (not deprecated rank). Don't overwrite.
2. student, also known as teacher to, teacher of, had student, students, pupils (wd:P802 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): notable student(s) of the subject individual, significant person
3. number of out-of-school children (wd:P2573 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): number of out-of-school children reported for a place
4. number of teachers, also known as faculty count (wd:P10610 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): number of teachers at an educational facility
5. school class, also known as class, cohort, grade, school cohort, stage (wd:P7174 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): (qualifier) class of a given year/time period to which the person belonged in an educational institution
6. number of children, also known as children, children (number), how many children, issue, kids (wd:P1971 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): number of children of the person, animal, or character
7. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): educational institution attended by subject, affiliation
8. student retention rate (wd:P11698 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): proportion of first-year students at the educational institution who return for their second year
9. number of participants, also known as number of competitors, number of teams, participant count, participants, qty participants (wd:P1132 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): number of participants of an event, e.g. people or groups of people that take part in the event (NO units), quantity
10. educational stage, also known as student classification (wd:P7374 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): educational stage of a specific school; qualifier of "educated at" (P69): the education stage of someone's attendance of school

[Assistant] From the search results, the property `wdt:P2196` (count of students) seems to be the most relevant for the number of students in an educational institution. Next, I need to identify the entity representing "university". I will search for "university" to find the appropriate entity.

[Tool]
Top 10 entity alternatives:
1. university, also known as uni, universities (wd:Q3918): academic institution for further education
2. University, also known as Suitcase City, University, FL (wd:Q2463874): human settlement in Hillsborough County, Florida, USA
3. medieval university, also known as mediaeval university, university (wd:Q1143413): corporation organized during the High Middle Ages
4. University, also known as University, Orange County, University, FL, University, Florida (wd:Q7894478): Orange County, Florida, USA
5. University, also known as University CDP, University Census Designated Place, University, Mississippi, University, MS (wd:Q3612349): census-designated place in Mississippi, United States
6. Expo Park/USC, also known as University (wd:Q1953496): Los Angeles Metro station
7. University Avenue, also known as University, University Ave (wd:Q3551335): street in Toronto, Ontario
8. Universidad, also known as Universidad station, University (wd:Q25442975): subway station in San Juan, Puerto Rico
9. University (wd:Q7894493): constituency of the Central and Western District Council of Hong Kong
10. Hochschule, also known as technical university, university (wd:Q21028957): German term for "higher schooling", i.e. institutions of tertiar... which may or may not include vocational or professional schools

[Assistant] The entity `wd:Q3918` represents "university". Now that I have both the property for the number of students (`wdt:P2196`) and the entity for "university" (`wd:Q3918`), I can construct a SPARQL query to find universities with more than 200,000 students. I will write a query to select universities where the count of students exceeds 200,000 and include the label for readability.

[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] It appears there was an error due to the usage of `SERVICE wikibase:label`, which is not supported in the current environment. Instead, I will use `rdfs:label` to retrieve the labels for the universities. Let me adjust the query accordingly and try again.

[Tool]
Got 7 rows and 3 columns:
| ?university                                                | ?studentCount | ?universityLabel                           |
| ---------------------------------------------------------- | ------------- | ------------------------------------------ |
| National Open University of Nigeria, Lafia (wd:Q131290725) | 500000        | National Open University of Nigeria, Lafia |
| University of Phoenix (wd:Q1889100)                        | 420000        | University of Phoenix                      |
| Cairo University (wd:Q194445)                              | 257200        | Cairo University                           |
| National Autonomous University of Mexico (wd:Q222738)      | 360883        | National Autonomous University of Mexico   |
| Ain Shams University (wd:Q2723670)                         | 220000        | Ain Shams University                       |
| Allama Iqbal Open University (wd:Q3694529)                 | 1326266       | Allama Iqbal Open University               |
| Universitas Terbuka (wd:Q7894421)                          | 525360        | Universitas Terbuka                        |

[Assistant]
The query returned several universities with more than 200,000 students. Here are the results:

- [National Open University of Nigeria, Lafia](http://www.wikidata.org/entity/Q131290725) with 500,000 students
- [University of Phoenix](http://www.wikidata.org/entity/Q1889100) with 420,000 students
- [Cairo University](http://www.wikidata.org/entity/Q194445) with 257,200 students
- [National Autonomous University of Mexico](http://www.wikidata.org/entity/Q222738) with 360,883 students
- [Ain Shams University](http://www.wikidata.org/entity/Q2723670) with 220,000 students
- [Allama Iqbal Open University](http://www.wikidata.org/entity/Q3694529) with 1,326,266 students
- [Universitas Terbuka](http://www.wikidata.org/entity/Q7894421) with 525,360 students

I will now provide the final SPARQL query and the answer.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( DISTINCT ?holiday ) AS ?count ) WHERE {
  wd:Q980 wdt:P832 ?holiday .
}

Got 1 row and 1 column:
| ?count |
| ------ |
| 13     |

Bavaria has 13 public holidays in a year.

[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] How many public holidays does the state Bavaria have in a year?

[Assistant] To answer this question, I need to identify the entity for Bavaria and the property that represents the number of public holidays. Let's start by searching for the entity representing Bavaria.

[Tool]
Top 10 entity alternatives:
1. Bavaria, also known as Bayern, Free State of Bavaria, Freistaat Bayern, Freistoot Bayern (wd:Q980): federated state in the south of Germany
2. Kingdom of Bavaria, also known as Bavaria, Kinereich Baiern, Kinereich Bayern, Königreich Baiern, Königreich Bayern (wd:Q154195): kingdom in Central Europe between 1806 and 1918, from January 1871 part of the German Empire
3. Electorate of Bavaria, also known as Bavaria (wd:Q256961): state in the Holy Roman Empire
4. 301 Bavaria, also known as (301) Bavaria, Bavaria (wd:Q150590): main-belt asteroid
5. Bavaria, also known as Bavaria statue (wd:Q707669): Statue of Bavaria in Munich, Germany
6. Bavaria (wd:Q874953): former train on the Trans-Europ-Express connection Zurich-Munich
7. Bavaria, also known as Bavaria, Kansas, Bavaria, KS (wd:Q4873636): unincorporated community in Kansas, USA
8. Bavaria Brewery, also known as Bavaria S.A., Bavaria (wd:Q2946947): Colombian brewery company
9. Bavaria Fluggesellschaft, also known as Bavaria (wd:Q811995): former German airline
10. Bavaria (wd:Q117323380): female figure symbolising Bavaria

[Assistant] The correct entity for Bavaria is `wd:Q980`, which refers to the current federal state of Bavaria in Germany. Next, I need to find the property that indicates the number of public holidays. I'll search for properties related to public holidays.

[Tool]
Top 10 property alternatives:
1. public holiday, also known as bank holiday, legal holiday, national holiday (wd:P832 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): official public holiday that occurs in this place in its honor, usually a non-working day, significant event
2. closed on, also known as closed days, days not open, except (wd:P3026 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): exceptions to open days (P3025), usually special dates
3. open days, also known as open on days, days open, opening days (wd:P3025 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): days in the week subject item is open within the opening season
4. day in year for periodic occurrence, also known as date, day, day in year, day of periodic occurrence, day of year (wd:P837 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): when a specific holiday or periodic event occurs. Can be used as property or qualifier
5. day of week, also known as day of the week, days of week (wd:P2894 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): day of the week on which this item occurs, applies to or is valid
6. refine date, also known as date refinement, exact time, hour, local time, quarter (wd:P4241 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): qualifier to narrow down the precision of a date not fully specified by the Wikidata time datatype precision field
7. date of official closure, also known as closed, official closure, date of closure, closure date, closing date (wd:P3999 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): date of official closure of a building or event, end time
8. opening time, also known as hour opens, opens at, opening hour, open hour (wd:P8626 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): time when an establishment or attraction opens, qualifier for P3025
9. set during recurring event, also known as narrative event, narrative holiday, set during event, set during holiday (wd:P9215 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): recurring event (e.g. season, month, holiday) during which this fictional work is set
10. work period (end), also known as floruit end, floruit (end of work), flourished (end), retirement, work ends (wd:P2032 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): end of period during which a person or group flourished (fl. = "floruit") in their professional activity, end time, floruit

[Assistant]
The relevant property here is `wdt:P832` which represents "public holiday". However, it seems this property is typically used to indicate which specific days are public holidays rather than the total count. Since there isn't a direct property for the total number of public holidays, I will construct a query to count the number of distinct public holidays associated with Bavaria.

Let's proceed with constructing the SPARQL query to count these public holidays.

[Tool]
Got 1 row and 1 column:
| ?count |
| ------ |
| 13     |

[Assistant]
The SPARQL query returned that Bavaria has 13 public holidays in a year.

Now, I will provide the final answer.

[Tool] Stopped generation process


PREFIX geo: <http://www.opengis.net/ont/geosparql#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
ASK WHERE {
  ?place wdt:P17 wd:Q39 .
  ?place wdt:P625 ?location .
  FILTER ( ?location > "Point(8.57 47.8)" ^^ geo:wktLiteral )
}

True

[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] Does Switzerland have a place north of the Point (8.57 47.8)?

[Assistant]
To answer this question, we need to identify the entities and properties involved. We need to find out if there is a place in Switzerland that is located north of the given point (8.57, 47.8).

First, let's identify the entity for Switzerland and the property that represents geographical location. Then we can check if there are any places in Switzerland that are north of the specified point.

Let's start by searching for the entity representing Switzerland.

[Tool]
Top 10 entity alternatives:
1. Switzerland, also known as Confoederatio Helvetica, Swiss, Swiss Confederation (wd:Q39): country in Central Europe
2. Old Swiss Confederacy, also known as Swiss Confederation, Switzerland (wd:Q435583): confederation of cantons (1291-1798)
3. Old Swiss Confederacy, also known as Swiss Confederation, Switzerland (wd:Q435583): confederation of cantons (1291-1798)
4. Switzerland at the 1900 Summer Olympics, also known as Switzerland (wd:Q141744): sporting event delegation
5. federation of eight cantons, also known as Confederacy of eight cantons, Switzerland, Swiss Confederation, federation of 8 cantons, Old Swiss Confederacy (wd:Q340787)
6. Federation of thirteen cantons, also known as Federation of 13 cantons, Swiss Confederacy, Swiss Confederation, Switzerland (wd:Q351537)
7. Switzerland, also known as Switzerland, SC (wd:Q2373348): community in South Carolina, USA
8. Switzerland (wd:Q80282): community in Florida, United States
9. Switzerland in the Eurovision Song Contest 2006, also known as Switzerland (wd:Q7659174)
10. Switzerland (wd:Q420049): album by rock band Electric Six

[Assistant]
From the search results, the correct entity for Switzerland is `wd:Q39`, which is the country in Central Europe.

Next, we need to identify the property that represents geographical location. A common property for this purpose is `wdt:P625` (coordinate location).

Now, we need to construct a SPARQL query to find places in Switzerland that are located north of the point (8.57, 47.8). To do this, we will filter the results based on the latitude of the coordinates.

Let's proceed with constructing the SPARQL query.

[Tool]
Got 44 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?place                                                  | ?location                 |
| ------------------------------------------------------- | ------------------------- |
| wd:Q107262026                                           | POINT(7.384722 48.008611) |
| Pöschen (wd:Q108091347)                                 | POINT(8.604836 47.800866) |
| wd:Q11783200                                            | POINT(7.000000 49.233300) |
| wd:Q11783215                                            | POINT(5.950000 52.217000) |
| wd:Q11783221                                            | POINT(9.738600 52.374400) |
| ...                                                     | ...                       |
| Upper Rhine (wd:Q663546)                                | POINT(8.266667 48.950000) |
| European route E23 (wd:Q664809)                         | POINT(6.317500 48.337222) |
| Wiese (wd:Q666946)                                      | POINT(8.025300 47.856600) |
| Germany Switzerland border crossing #883 (wd:Q68035952) | POINT(8.581529 47.805602) |
| Biber (wd:Q681992)                                      | POINT(8.707896 47.854045) |

[Assistant]
The SPARQL query returned several places in Switzerland that are located north of the point (8.57, 47.8). This indicates that there are indeed places in Switzerland north of the specified point.

Based on the results, we can confirm that the answer to the question is "True".

Let's finalize our answer with the SPARQL query and the confirmation.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?person ?personLabel ?netWorth WHERE {
  ?person wdt:P106 wd:Q131524 ; wdt:P2218 ?netWorth .
  OPTIONAL {
    ?person rdfs:label ?personLabel FILTER ( LANG( ?personLabel ) = "en" ) .
  }
}
ORDER BY DESC ( ?netWorth )
LIMIT 1

Elon Musk (wd:Q317521)

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

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

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

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

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

[User] Who is the most wealthy entrepreneur?

[Assistant] To answer the question "Who is the most wealthy entrepreneur?", we need to identify the entities that are considered entrepreneurs and then find out their wealth. We can start by searching for the term "entrepreneur" to find the corresponding entity or property in Wikidata.

[Tool]
Top 10 entity alternatives:
1. entrepreneur, also known as undertaking (wd:Q131524): person who owns and operates a business
2. Entrepreneur (wd:Q5380740): business magazine for entrepreneurs
3. The Entrepreneur, also known as Entrepreneur (wd:Q3204987): 2011 film by Giuliano Montaldo
4. Entrepreneur (wd:Q30598698): 1997 video game
5. Entrepreneur (wd:Q5380739): British Thoroughbred racehorse
6. Entrepreneur (wd:Q98669462): 2020 single by Pharrell Williams featuring Jay-Z
7. Entrepreneur, also known as Yrittäjä (wd:Q104145164): 2018 film directed by Virpi Suutari
8. Darren Lopes, also known as Entrepreneur (wd:Q112113075): entrepreneur, Entrepreneur
9. Adil Sami, also known as Entrepreneur (wd:Q111692090): Entrepreneur, entrepreneur
10. Alee Club Miss & Mr Teen India, also known as Entrepreneur (wd:Q113526755): entrepreneur

[Assistant] The first result, `wd:Q131524`, represents the concept of an entrepreneur. Next, we need to find a property that relates to wealth or net worth. Let's search for "wealth" or "net worth" to find the appropriate property.

[Tool]
Top 10 property alternatives:
1. net worth, also known as declared patrimony, estimated net worth, net wealth, net worth estimate, personal assets (wd:P2218 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): totality of wealth possessed by a person
2. tributary, also known as has inflow of, affluent, receives tributary, receives river, has river inflow (wd:P974 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): watercourse that flows into an other one (for lake inflows use P200)
3. prize money, also known as money, purse, value (wd:P2121 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): amount in a specific currency
4. total revenue, also known as turnover, sales, revenue, income, gross revenue (wd:P2139 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): income gained by an organization during a given time frame. Not to be confused with fiscal revenue
5. total assets, also known as assets, balance sheet total (wd:P2403 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): value of assets held by a private or public entity
6. properties for this type, also known as uses properties, Wikidata properties for this type, Wikidata properties for this class, uses property, things one could say about (wd:P1963 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): when this subject is used as object of “instance of”, the following properties normally apply
7. Wikidata property, also known as main property, property for this item, property, has property (wd:P1687 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): main Wikidata property for this item
8. has characteristic, also known as has quality, inherent property, object has characteristic, parameter, quality (wd:P1552 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): inherent or distinguishing quality or feature of the entity. Use a more specific property when possible
9. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): seat of government of a country, province, state or other type of administrative territorial entity
10. owner of, also known as owns, owns property, shareholder of (wd:P1830 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): entities owned by the subject

[Assistant]
The property `wdt:P2218` corresponds to "net worth," which is relevant to our query. Now, we can construct a SPARQL query to find the most wealthy entrepreneur. We will select the entrepreneur with the highest net worth.

Let's write the initial SPARQL query:

```sparql
SELECT ?person ?personLabel ?netWorth
WHERE {
  ?person wdt:P106 wd:Q131524 ;  # Entrepreneurs
          wdt:P2218 ?netWorth . # Net worth
  SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
}
ORDER BY DESC(?netWorth)
LIMIT 1
```

However, since we cannot use `SERVICE wikibase:label`, we will modify the query to include optional clauses for labels.

```sparql
SELECT ?person ?personLabel ?netWorth
WHERE {
  ?person wdt:P106 wd:Q131524 ;  # Entrepreneurs
          wdt:P2218 ?netWorth . # Net worth
  OPTIONAL { ?person rdfs:label ?personLabel FILTER(LANG(?personLabel) = "en"). }
}
ORDER BY DESC(?netWorth)
LIMIT 1
```

Now let's execute this query to see the results.

[Tool]
Failed to call function execute:
failed to parse input: no matching token found from position 212: '\"en\"). }
}
ORDER BY DESC(?netWorth)
LIMIT 1'

[Assistant]
It seems there was an issue with the query due to improper escaping of the double quotes. Let's correct the query and try again.

Here is the corrected query:

```sparql
SELECT ?person ?personLabel ?netWorth
WHERE {
  ?person wdt:P106 wd:Q131524 ;  # Entrepreneurs
          wdt:P2218 ?netWorth . # Net worth
  OPTIONAL { ?person rdfs:label ?personLabel FILTER(LANG(?personLabel) = "en"). }
}
ORDER BY DESC(?netWorth)
LIMIT 1
```

Let's execute this corrected query.

[Tool]
Failed to call function execute:
failed to parse input: no matching token found from position 212: '\"en\"). }
}
ORDER BY DESC(?netWorth)
LIMIT 1'

[Assistant]
It appears there is still an issue with the query due to the escaping of the double quotes. Let's simplify the query and ensure proper escaping.

Here is the simplified query:

```sparql
SELECT ?person ?personLabel ?netWorth
WHERE {
  ?person wdt:P106 wd:Q131524 ;  # Entrepreneurs
          wdt:P2218 ?netWorth . # Net worth
  OPTIONAL { ?person rdfs:label ?personLabel FILTER(LANG(?personLabel) = "en"). }
}
ORDER BY DESC(?netWorth)
LIMIT 1
```

Let's try executing this query again.

[Tool]
Got 1 row and 3 columns:
| ?person                | ?personLabel | ?netWorth    |
| ---------------------- | ------------ | ------------ |
| Elon Musk (wd:Q317521) | Elon Musk    | 270100000000 |

[Assistant]
The query returned the result that Elon Musk (wd:Q317521) is the most wealthy entrepreneur with a net worth of $270,100,000,000.

Based on this, the answer to the question "Who is the most wealthy entrepreneur?" is Elon Musk.

Let's finalize the answer.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
ASK WHERE {
  wd:Q283 wdt:P462 wd:Q1396399 .
}

True

[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] Is water colorless?

[Assistant] To answer the question "Is water colorless?", I need to find out if there's a property in the knowledge graph that describes the color of water and check its value. Let's start by searching for the entity representing water in Wikidata.

[Tool]
Top 10 entity alternatives:
1. water, also known as dihydrogen oxide, hydrogen hydroxide, dihydrogen monoxide, hydrogen oxide, oxidane (wd:Q283): chemical compound whose molecules are formed by two hydrogen atoms and one oxygen atom
2. water, also known as dihydridooxygen, pure water, oxidane, hydrogen oxide, hydrogen hydroxide (wd:Q283): chemical compound whose molecules are formed by two hydrogen atoms and one oxygen atom
3. ice, also known as crystalline water, frozen ice, frozen water, solid water, water (wd:Q23392): water frozen into the solid state
4. drinking water, also known as drinkable water, improved drinking water, potable water, water (wd:Q7892): water safe for consumption
5. Water, also known as Water (2005), Water (2005 movie) (wd:Q617395): 2005 film by Deepa Mehta
6. water (wd:Q2637515): classical element in philosophy and cosmology
7. Water (wd:Q123169436): 2023 single by Tyla
8. ☵, also known as water, U+2635, TRIGRAM FOR WATER, kan3, k’an (wd:Q2785811): trigram for water (U+2635): kan3, kǎn, k’an
9. liquid water, also known as water (wd:Q29053744): form of water
10. Water, also known as Water (Elitsa & Stoyan song) (wd:Q2735297): song by Elitsa Todorova and Stoyan Yankoulov

[Assistant] The first result is the entity representing water as a chemical compound (wd:Q283). Now, I'll search for properties related to color for this entity.

[Tool]
Top 10 property alternatives:
1. color, also known as with the colour, with the color, pigment, of the colour, of the color (wd:P462 as p/wdt): color of subject
2. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
3. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
4. has characteristic, also known as has quality, inherent property, object has characteristic, parameter, quality (wd:P1552 as wdt/p): inherent or distinguishing quality or feature of the entity. Use a more specific property when possible
5. has use, also known as utility, used in, used for, used as, use (wd:P366 as p/wdt): main use of the subject (includes current and former usage)
6. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt/p): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
7. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as p/wdt): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
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. mass, also known as displacement, molecular mass, molecular weight, weight (wd:P2067 as wdt/p): mass (in colloquial usage also known as weight) of the item
10. name (image), also known as name as image, label image, label as image, image of name, image as label (wd:P7407 as p/wdt): name of something, when it's not fully supported by Unicode or contains characters that are not widely supported, icon

No other items found

[Assistant] The property "color" (wd:P462) seems to be the most relevant one for determining the color of water. Now, I will construct a SPARQL query to check if water has a color associated with it.

[Tool]
Got 5 rows and 1 column:
| ?color                       |
| ---------------------------- |
| colorless (wd:Q1396399)      |
| white (wd:Q23444)            |
| green (wd:Q3133)             |
| color of water (wd:Q5148636) |
| turquoise (wd:Q5960345)      |

[Assistant]
The SPARQL query returned multiple colors associated with water, including "colorless". Since "colorless" is among the results, we can conclude that water is indeed colorless under normal conditions.

Now, I will formulate the final answer using an ASK query to confirm that water is colorless.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?label WHERE {
  wd:Q30 rdfs:label ?label .
  FILTER ( LANG( ?label ) = 'tr' )
}

Got 1 row and 1 column:
| ?label                           |
| -------------------------------- |
| "Amerika Birleşik Devletleri"@tr |

People from Turkey call the official name of the United States of America as "Amerika Birleşik Devletleri".

[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] How do people from Turkey call the official name of the united states of america?

[Assistant]
To answer this question, we need to find out the Turkish translation of the official name of the United States of America. We'll start by identifying the official name of the United States of America and then look for its Turkish translation.

First, let's identify the official name of the United States of America.

[Tool]
Top 10 entity alternatives:
1. United States, also known as the U.S. of A, United States of America, the US of America, United States of North America, U. S. (wd:Q30): country primarily located in North America
2. Istadus Unidus the America, also known as United States of America (wd:Q29045433): Wikimedia permanent duplicate item
3. United States of America (wd:Q100270731): scholarly article
4. United States of America (wd:Q103971355): encyclopedic article; Grove Art Online
5. United States of America (wd:Q105870683): vocal track by Kikki Danielsson; 1980 studio recording
6. United States of America (wd:Q105870692): song written and composed by Donna Fargo, originally recorded by Donna Fargo and released in 1974
7. United States of America (wd:Q106315054): vocal track by Donna Fargo; 1974 studio recording
8. United States of America, also known as Star Trek USA, USA (wd:Q99281400): country of the United States of America as depicted in Star Trek
9. United States of America (wd:L350484-S1)
10. United States (of America) (wd:L399000-S1)

[Assistant]
The correct entity for the United States of America is `wd:Q30`. Now, we need to find the Turkish translation of the official name of the United States of America. To do this, we will look for the label of `wd:Q30` in Turkish.

Let's construct a SPARQL query to retrieve the Turkish label of the United States of America.

[Tool]
Got 1 row and 1 column:
| ?label                           |
| -------------------------------- |
| "Amerika Birleşik Devletleri"@tr |

[Assistant]
The Turkish translation of the official name of the United States of America is "Amerika Birleşik Devletleri".

Now, I will provide the final SPARQL query and the answer.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( ?award ) AS ?count ) WHERE {
  wd:Q242643 wdt:P166 ?award .
  FILTER ( ?award = wd:Q266012 )
}

Got 1 row and 1 column:
| ?count |
| ------ |
| 1      |

Naomi Novik has won the Nebula Award once.

[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] How often did Naomi Novik win the nebula award?

[Assistant] To answer this question, I need to first identify the entity corresponding to Naomi Novik and then find out how many times she has won the Nebula Award. Let's start by searching for the entity corresponding to Naomi Novik.

[Tool]
Top 10 entity alternatives:
1. Naomi Novik (wd:Q242643): science fiction writer, American writer, fantasy author, programmer, novelist, writer
2. Naomi (wd:Q2596433): Ruth's mother-in-law in the Book of Ruth
3. Naomi, also known as Trinity Starr, Trinity Fatu, Trinity, Nalgomi, Naomi Knight (wd:Q3119295): American professional wrestler, professional wrestler, celebrity, dancer, model
4. 6139 Naomi, also known as Naomi (wd:Q553669): asteroid
5. Naomi, also known as Naomi, PA, Naomi, Pennsylvania (wd:Q6964608): settlement in Pennsylvania, US
6. Naomi (wd:Q108444706): American television series
7. Novik (wd:Q1547078): 1911 Russian destroyer
8. Naomi, also known as Naomi (first name), Naomi (given name) (wd:Q18508449): female given name
9. Naomi (wd:Q6964620): novel by Junichiro Tanizaki
10. Naomi, also known as Florin Moldovan (wd:Q22957923): Romanian recording artist, songwriter and actress, songwriter, singer, actor

[Assistant] The correct entity for Naomi Novik is `wd:Q242643`. Next, I need to find the property that represents winning a Nebula Award. I'll use the search_property function to find it.

[Tool]
Top 10 property alternatives:
1. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): award or recognition received by a person, organization or creative work
2. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
3. nominee, also known as award nominee (wd:P2453 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): qualifier used with “nominated for” to specify which person or organization was nominated
4. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): winner of a competition or similar event, not to be used for awa...ssibly qualified with "for work" (P1686)) or for wars or battles, participating team, participant
5. Science Fiction Awards Database author ID, also known as SFADB author id (wd:P8504 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): identifier for a person in the Science Fiction Awards Database
6. for work, also known as awarded for work, citation for award, for their work on, nominated for work (wd:P1686 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): qualifier of award received (P166) to specify the work that an award was given to the creator for
7. conferred by, also known as presented by, officiated by, issued by, granted by, given by (wd:P1027 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): person or organization who grants an award, certification, grant, or role
8. nominated by (wd:P4353 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): who nominated a person for an office or award; can be used as a qualifier
9. Fantastic Fiction author ID, also known as Fantastic Fiction ID (wd:P5408 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): identifier for an author on the Fantastic Fiction website
10. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic

[Assistant] The relevant property for winning an award is `wdt:P166` (award received). Now, I need to find out how many times Naomi Novik (`wd:Q242643`) has won the Nebula Award. I will construct a SPARQL query to count the number of instances where Naomi Novik has received the Nebula Award.

[Tool]
Got 1 row and 1 column:
| ?count |
| ------ |
| 0      |

[Assistant] The initial query returned 0, which suggests that there might be no direct link between Naomi Novik and the Nebula Award using the `wdt:P166` property. However, it's possible that the Nebula Award is linked through a different property or that the label isn't exactly matching "Nebula". Let's try another approach by listing awards received by Naomi Novik and checking if any of them are related to the Nebula Award.

[Tool]
Got 8 rows and 3 columns:
| subject                  | property                  | object                                                        |
| ------------------------ | ------------------------- | ------------------------------------------------------------- |
| Naomi Novik (wd:Q242643) | award received (wdt:P166) | Nebula Award for Best Novel (wd:Q266012)                      |
| Naomi Novik (wd:Q242643) | award received (wdt:P166) | Astounding Award for Best New Writer (wd:Q958630)             |
| Naomi Novik (wd:Q242643) | award received (wdt:P166) | Mythopoeic Awards (wd:Q243960)                                |
| Naomi Novik (wd:Q242643) | award received (wdt:P166) | Geffen Award (wd:Q5530024)                                    |
| Naomi Novik (wd:Q242643) | award received (wdt:P166) | Locus Award for Best Fantasy Novel (wd:Q607354)               |
| Naomi Novik (wd:Q242643) | award received (wdt:P166) | Locus Award for Best First Novel (wd:Q2090893)                |
| Naomi Novik (wd:Q242643) | award received (wdt:P166) | Compton Crook Award (wd:Q5157154)                             |
| Naomi Novik (wd:Q242643) | award received (wdt:P166) | Robert Holdstock Award for Best Fantasy Novel (wd:Q130987259) |

[Assistant] From the list of awards received by Naomi Novik, we can see that she has indeed won the Nebula Award for Best Novel (`wd:Q266012`). Now, let's refine our SPARQL query to count the number of times she has won the Nebula Award specifically.

[Tool]
Got 1 row and 1 column:
| ?count |
| ------ |
| 1      |

[Assistant] The refined query indicates that Naomi Novik has won the Nebula Award once.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?creator ?creatorLabel WHERE {
  wd:Q1211977 wdt:P170 ?creator .
  OPTIONAL {
    ?creator rdfs:label ?creatorLabel .
    FILTER ( LANG( ?creatorLabel ) = "en" )
  }
}

Got 2 rows and 2 columns:
| ?creator                     | ?creatorLabel  |
| ---------------------------- | -------------- |
| Michael Jacobs (wd:Q3308269) | Michael Jacobs |
| Bob Young (wd:Q4934478)      | Bob Young      |

The creators of the TV show 'Dinosaurs' are Michael Jacobs (wd:Q3308269) and Bob Young (wd:Q4934478).

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

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

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

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

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

[User] Who is the creator of the Dinosaurs tv show ?

[Assistant]
To answer the question "Who is the creator of the Dinosaurs TV show?", I need to identify the entity representing the TV show "Dinosaurs" and the property that represents the creator or creator(s) of a TV show.

First, I'll search for the entity representing the TV show "Dinosaurs".

[Tool]
Top 10 entity alternatives:
1. television program, also known as TV show, television broadcast, T.V. show, T. V. show, TV programme (wd:Q15416): segment of audiovisual content intended for broadcast on television
2. television series, also known as TV show, TV-series, television show, TV series (wd:Q5398426): connected set of television program episodes under the same title
3. Show TV (wd:Q2006738): Turkish television station
4. TV Show (wd:Q3281229): 2007 album by Sergey Lazarev
5. reality television, also known as reality TV program, TV reality show, TV reality program, television reality show, television reality program (wd:Q182415): genre of television programming that documents unscripted situations and actual occurrences
6. Showtime, also known as Showtime (TV network), Showtime TV, Showtime Networks, Showtime Entertainment, SHO (wd:Q23589): American premium cable TV channel
7. television presenter, also known as television anchor, TV show host, TV presenter, TV host, TV anchor (wd:Q947873): person who introduces or hosts television programs
8. variety show, also known as television variety program, television variety show, variety, variety entertainment, variety program (wd:Q336181): television genre characterized by a series of specialty acts such as music, dance, comedy, magic, acrobatics and ventriloquism
9. reality show, also known as reality television program, TV reality show, TV reality program, television reality show, television reality program (wd:Q3421644): television genre
10. television series season, also known as TV show season, TV series season, TV season, season of a TV show, television show season (wd:Q3464665): set of episodes produced for a television series

[Assistant] From the search results, it seems that the entity representing the TV show "Dinosaurs" was not directly found. However, we can infer that "Dinosaurs" is likely a television series. Let's try searching again with a more specific query to find the exact entity for the TV show "Dinosaurs".

[Tool]
Top 10 entity alternatives:
1. television series, also known as TV show, TV-series, television show, TV series (wd:Q5398426): connected set of television program episodes under the same title
2. Television series (wd:Q53702009): scientific article
3. season, also known as series of television program, TV series, TV season, television series, television season (wd:P4908): season of a series (televison, web, podcast)
4. television series (wd:L501100-S2)
5. children's television series, also known as children's TV series, kids tv, kids TV series (wd:Q1273568): television programs designed for, and marketed to children
6. news broadcasting, also known as news channel, television broadcasting of news, news television series (wd:Q1962634): news published over radio or television
7. Chinese television drama, also known as cdrama, C-drama, Chinese drama, Chinese drama serial, Chinese drama series (wd:Q28195059): Chinese television drama series originating from Mainland China or the Greater China region
8. television series season, also known as TV show season, TV series season, TV season, season of a TV show, television show season (wd:Q3464665): set of episodes produced for a television series
9. drama television series, also known as drama TV series, dramatic television series, television drama series, TV drama series, drama series (wd:Q1366112): television series genre
10. drama television series, also known as TV drama series, television drama series, drama TV series, drama series, dramatic television series (wd:Q1366112): television series genre

[Assistant] It appears that the specific entity for the TV show "Dinosaurs" is not among the top results. Let's try another approach by searching for the exact title "Dinosaurs" and see if we can find the correct entity.

[Tool]
Top 10 entity alternatives:
1. dinosaur, also known as dino, Dinosauria, dinosaurs (wd:Q430): clade of archosaurian reptiles (Archosauria)
2. Dinosaurs (wd:Q1211977): television program
3. Dinosaurs, also known as Dinosaurs: The Most Complete, Up... for Dinosaur Lovers of All Ages (wd:Q5186590): book by Thomas R. Holtz, Jr.
4. Dinosaurs (wd:Q18351859): 1987 novelette by Walter Jon Williams
5. Dinosaurs (wd:Q28419612): anthology of science fiction short works
6. Dinosaurs! (wd:Q28401115): 1990 anthology
7. Dinosaurs (wd:Q97359951): 2018 song by Australian musician Ruby Fields
8. Dinosaurs (wd:Q120970468): 2023 Indian Tamil-language action film by M. R. Madhavan
9. Dinosaurs (wd:Q58999596): scientific article published in Nature
10. Dinosaurs (wd:Q93927541): scholarly article authored by James Willis and published in British Journal of General Practice in 2007

[Assistant] From the search results, the second option "Dinosaurs (wd:Q1211977)" seems to be the correct entity for the TV show "Dinosaurs". Now, I need to identify the property that represents the creator or creators of a TV show. I will search for properties related to "creator" or "author" of a TV show.

[Tool]
Top 10 property alternatives:
1. collection creator, also known as creator, archive creator, collector, archives of, archive of (wd:P6241 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): entity (person, organization, etc.) that caused a record or collection to be produced or gathered
2. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): founder or co-founder of this organization, religion, place or entity, creator
3. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): maker of this creative work or other object (where no more specific property exists)
4. author, also known as writer, written by, poet, playwright, maker (wd:P50 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): 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
5. author name string, also known as short author name, writer named as, writer name, writer indicated as, songwriting credits string (wd:P2093 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): stores unspecified author or editor name for publications; use i...or editor (P98) does not exist or is not known. Do not use both.
6. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): notable scientific, artistic or literary work, or other work of significance among subject's works
7. possible creator, also known as creator (possible), attributed to (wd:P1779 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): for a creative work with considerable uncertainty about the author
8. developer, also known as written by, video game developer, video game dev, game developer, game dev (wd:P178 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): organization or person that developed the item, creator
9. fabrication method, also known as process used, method of cooking, preparation method, obtained by, method used (wd:P2079 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): method, process or technique used to grow, cook, weave, build, assemble, manufacture the item, uses
10. foundational text, also known as main text, treaty, organic law, founding document, establishing document (wd:P457 as pq/ps/p/pr/wdtn/pqn/pqv/psv/wdt/prv/prn/psn): text through which an institution or object has been created or established

[Assistant]
Among the properties listed, `wdt:P170` (creator) seems to be the most appropriate property to represent the creator of a TV show. Now, I will construct a SPARQL query to find the creator of the TV show "Dinosaurs" (wd:Q1211977).

The SPARQL query will select the creator of the TV show "Dinosaurs" and include optional clauses to retrieve the label of the creator if available.

[Tool]
Got 2 rows and 2 columns:
| ?creator                     | ?creatorLabel  |
| ---------------------------- | -------------- |
| Michael Jacobs (wd:Q3308269) | Michael Jacobs |
| Bob Young (wd:Q4934478)      | Bob Young      |

[Assistant]
The SPARQL query returned two creators for the TV show "Dinosaurs": Michael Jacobs and Bob Young.

Now, I will provide the final SPARQL query and the answer based on the query results.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?location WHERE {
  wd:Q551416 wdt:P276 ?location .
}

The Hambach Festival happened at Hambach Castle (wd:Q523286).

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

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

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

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

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

[User] Where did the Hambach Festival happen?

[Assistant] To answer the question "Where did the Hambach Festival happen?", I first need to identify the entity corresponding to the "Hambach Festival". I will use the `search_entity` function to find it.

[Tool]
Top 10 entity alternatives:
1. Hambach Festival (wd:Q551416): 1832 German festival
2. festival, also known as biennale, Fiesta Day, festivity, festival series, feast (wd:Q132241): organized set of events or activities focused on a theme (cultur...e.g. once a year) and lasts anywhere from several hours to weeks
3. party, also known as celebration, feast, festival, festivity, gala (wd:Q200538): social event
4. Hambach (wd:Q22391): commune in Moselle, France
5. Hambach, also known as Hambach (Diez) (wd:Q566907): municipality of Germany
6. Festival (wd:Q2443739): 1977 album from Santana
7. 120460 Hambach, also known as Hambach (wd:Q2641077): asteroid
8. Festival, also known as Festival Mushroom Records, Festival Records, FMR (wd:Q5445732): Australian record label
9. Festival (wd:Q5445695): 1996 South Korean drama film directed by Im Kwon-taek
10. Bumbershoot, also known as Seattle Arts Festival, Seattle Festival for the Arts, Mayor's Arts Festival, Festival, Bumbershoot: Seattle's Music & Arts Festival (wd:Q4997241): annual music and arts festival in Seattle, Washington, USA

[Assistant] The correct entity for the "Hambach Festival" is identified as "Hambach Festival (wd:Q551416)". Next, I need to find out where this festival took place. To do this, I will look for properties that might indicate the location of the event. A common property for indicating the location of an event is `wdt:P276` (location). I will check if this property is used for the Hambach Festival.

[Tool]
Got 113 rows and 3 columns, showing the first 10 rows below:
| subject                       | property                         | object                                                               |
| ----------------------------- | -------------------------------- | -------------------------------------------------------------------- |
| Hambach Festival (wd:Q551416) | instance of (wdt:P31)            | festival (wd:Q132241)                                                |
| Hambach Festival (wd:Q551416) | Commons category (wdt:P373)      | Hambacher Fest                                                       |
| Hambach Festival (wd:Q551416) | location (wdt:P276)              | Hambach Castle (wd:Q523286)                                          |
| Hambach Festival (wd:Q551416) | described by source (wdt:P1343)  | Meyers Konversations-Lexikon, 4th edition (1885–1890) (wd:Q19219752) |
| Hambach Festival (wd:Q551416) | start time (wdt:P580)            | 1932-05-27T00:00:00Z                                                 |
| Hambach Festival (wd:Q551416) | participant (wdt:P710)           | Ludwig Börne (wd:Q213595)                                            |
| Hambach Festival (wd:Q551416) | topic's main category (wdt:P910) | wd:Q124651128                                                        |
| Hambach Festival (wd:Q551416) | end time (wdt:P582)              | 1832-06-01T00:00:00Z                                                 |
| Hambach Festival (wd:Q551416) | facet of (wdt:P1269)             | Vormärz (wd:Q700923)                                                 |
| Hambach Festival (wd:Q551416) | Freebase ID (wdt:P646)           | /m/09bf2m                                                            |
| ...                           | ...                              | ...                                                                  |

[Assistant]
From the list of triples, we can see that the Hambach Festival has a location specified by the property `wdt:P276`, which points to "Hambach Castle (wd:Q523286)".

Now, I will construct a SPARQL query to retrieve the identifier of the location where the Hambach Festival happened.

[Tool] Stopped generation process