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

Got 1 row and 1 column:
| count        |
| ------------ |
| 13 (xsd:int) |

[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, we need to identify the entity for the state Bavaria and the property for public holidays. Let's start by searching for the entity "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] From the search results, the entity for the current state of Bavaria is "Bavaria, also known as Bayern, Free State of Bavaria, Freistaat Bayern, Freistoot Bayern" with the identifier `wd:Q980`. Next, we need to find the property that represents public holidays. Let's search for the property "public holidays".

[Tool]
Top 10 property alternatives:
1. public holiday, also known as bank holiday, legal holiday, national holiday (wd:P832 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): 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 prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): exceptions to open days (P3025), usually special dates
3. open days, also known as open on days, days open, opening days (wd:P3025 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): 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 prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): 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 prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): 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 prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): 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 prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): 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 prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): 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 prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): 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 prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): end of period during which a person or group flourished (fl. = "floruit") in their professional activity, end time, floruit

[Assistant] The property for public holidays is "public holiday" with the identifier `wd:P832`. Now, let's check if the entity for Bavaria (`wd:Q980`) has any statements about public holidays using this property.

[Tool]
Got 13 rows and 3 columns, showing the first 10 rows below:
| subject           | property                  | object                                 |
| ----------------- | ------------------------- | -------------------------------------- |
| Bavaria (wd:Q980) | public holiday (wdt:P832) | Christmas (wd:Q19809)                  |
| Bavaria (wd:Q980) | public holiday (wdt:P832) | New Year (wd:Q34812)                   |
| Bavaria (wd:Q980) | public holiday (wdt:P832) | International Workers' Day (wd:Q47499) |
| Bavaria (wd:Q980) | public holiday (wdt:P832) | Good Friday (wd:Q40317)                |
| Bavaria (wd:Q980) | public holiday (wdt:P832) | All Saints' Day (wd:Q587)              |
| Bavaria (wd:Q980) | public holiday (wdt:P832) | Epiphany (wd:Q132001)                  |
| Bavaria (wd:Q980) | public holiday (wdt:P832) | Assumption of Mary (wd:Q162691)        |
| Bavaria (wd:Q980) | public holiday (wdt:P832) | Feast of the Ascension (wd:Q51638)     |
| Bavaria (wd:Q980) | public holiday (wdt:P832) | Feast of Corpus Christi (wd:Q152395)   |
| Bavaria (wd:Q980) | public holiday (wdt:P832) | Easter Monday (wd:Q209663)             |
| ...               | ...                       | ...                                    |

[Assistant]
The list shows that Bavaria (`wd:Q980`) has 13 public holidays. We can now construct a SPARQL query to count these public holidays.

Let's write the SPARQL query to count the number of public holidays in Bavaria.

[Tool]
Got 1 row and 1 column:
| count        |
| ------------ |
| 13 (xsd:int) |

[Assistant]
The SPARQL query confirms that the state of Bavaria has 13 public holidays in a year.

Here is the final SPARQL query and the answer:

```sparql
SELECT (COUNT(?holiday) AS ?count) WHERE {
  wd:Q980 wdt:P832 ?holiday .
}
```

The answer is 13 public holidays.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correctly formulated to count the number of public holidays in Bavaria. It uses the appropriate entity and property, and the result matches the expected answer. No further refinements are necessary.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
ASK {
  ?place wdt:P625 ?coordinate .
  ?place wdt:P17 wd:Q39 .
  BIND( REPLACE( STR( ?coordinate ) , "Point\\(.* ([0-9.-]+)\\)" , "$1" ) AS ?latitude ) FILTER ( xsd:float ( ?latitude ) > 47.8 )
}

False

[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:
1. Find the entity for Switzerland in the knowledge graph.
2. Identify the property for geographic location or coordinates.
3. Query for places in Switzerland that have a latitude greater than 47.8 (since the point's latitude is 47.8).
4. Use an ASK query to check if such a place exists.

Let's start by finding the entity for 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] The correct entity for Switzerland is `wd:Q39`. Now, let's identify the property for geographic location or coordinates. We can search for properties related to "coordinates" or "location".

[Tool]
Top 10 property alternatives:
1. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
2. this zoological name is coordinate with, also known as coordinate name (wd:P2743 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): links coordinate zoological names, different from
3. coordinates of depicted place, also known as depicted item geolocation, geolocation of object, object geolocation (wd:P9149 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): coordinates of the place depicted in the work (or Commons image)
4. coordinates of geographic center, also known as coordinates of geographic centre, geographic centre, geographic center, geographical midpoint, geographical centre (wd:P5140 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): coordinates of the center of an area. Use qualifier "determination method" (P459) to indicate how, coordinate location
5. time index, also known as time coordinate, timestamp, temporal coordinate, relative time (wd:P4895 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): indicate when something happens relative to its beginning
6. genomic start, also known as start coordinate, genomic from, Genloc From, from, Genloc Start (wd:P644 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): genomic starting coordinate of the biological sequence (e.g. a gene)
7. spatial reference system, also known as coordinate reference system, CRS, SRS (wd:P3037 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): frame of reference used to produce a map
8. coordinates of the point of view, also known as camera location, camera coordinates, viewpoint coordinates, coordinates of point of view, coordinates of pov (wd:P1259 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): point from which the scene depicted by the element is seen (element can be a photo, a painting, etc.)
9. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): person or organization occupying property, used by
10. named place on map, also known as name on map, place on map (wd:P9664 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): property linking a map to a place named on it

[Assistant]
The correct property for geographic coordinates is `wd:P625`. Now, we can construct an ASK query to check if there is any place in Switzerland with a latitude greater than 47.8.

Here is the SPARQL query:

```sparql
ASK {
  ?place wdt:P625 ?coordinate .
  ?place wdt:P17 wd:Q39 .
  FILTER(geof:lat(?coordinate) > 47.8)
}
```

This query checks if there is any place in Switzerland (`wd:Q39`) with a latitude greater than 47.8.

Let's execute this query to get the answer.

[Tool]
SPARQL execution failed:
Not supported: Function "<http://www.opengis.net/def/function/geosparql/lat>" is currently not supported by QLever.

[Assistant]
It appears that the `geof:lat` function is not supported by the QLever endpoint. Instead, we can extract the latitude from the coordinate using the `str` function and then parse it as a number. Let's modify the query accordingly.

Here is the updated SPARQL query:

```sparql
ASK {
  ?place wdt:P625 ?coordinate .
  ?place wdt:P17 wd:Q39 .
  BIND(REPLACE(STR(?coordinate), "Point\\(.* ([0-9.-]+)\\)", "$1") AS ?latitude)
  FILTER(xsd:float(?latitude) > 47.8)
}
```

This query extracts the latitude from the coordinate string and checks if it is greater than 47.8.

Let's execute this query to get the answer.

[Tool] False

[Assistant]
The ASK query returned `False`, which means there is no place in Switzerland with a latitude greater than 47.8.

Therefore, the answer to the question "Does Switzerland have a place north of the Point (8.57 47.8)?" is **False**.

Here is the final SPARQL query and answer:

```sparql
ASK {
  ?place wdt:P625 ?coordinate .
  ?place wdt:P17 wd:Q39 .
  BIND(REPLACE(STR(?coordinate), "Point\\(.* ([0-9.-]+)\\)", "$1") AS ?latitude)
  FILTER(xsd:float(?latitude) > 47.8)
}
```

Answer: **False**

Now, I will provide the final answer using the `answer` function.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correctly formulated to check if there is any place in Switzerland with a latitude greater than 47.8. The answer 'False' indicates that no such place exists according to the data in Wikidata. The query follows all the rules and does not require further refinement.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?entrepreneur ?netWorth WHERE {
  ?entrepreneur wdt:P106 wd:Q131524 .
  ?entrepreneur wdt:P2218 ?netWorth .
}
ORDER BY DESC ( ?netWorth )
LIMIT 1

The most wealthy entrepreneur is Elon Musk.

[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 about the most wealthy entrepreneur, we need to identify the relevant entities and properties in the knowledge graph. We will start by searching for the entity "entrepreneur" and then look for properties related to wealth or net worth.

First, let's search for the entity "entrepreneur" 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 most relevant entity for "entrepreneur" is `wd:Q131524`, which refers to a person who owns and operates a business. Next, we need to find properties related to wealth or net worth. Let's search for properties related to "wealth" and "net worth" in Wikidata.

[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 prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): 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 prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): watercourse that flows into an other one (for lake inflows use P200)
3. prize money, also known as money, purse, value (wd:P2121 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): amount in a specific currency
4. total revenue, also known as turnover, sales, revenue, income, gross revenue (wd:P2139 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): 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 prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): 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 prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): 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 prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): main Wikidata property for this item
8. has characteristic, also known as has quality, inherent property, object has characteristic, parameter, quality (wd:P1552 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): 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 prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): 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 prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): entities owned by the subject

[Assistant]
The most relevant property for "wealth" or "net worth" is `wd:P2218`. Now, we need to find the individuals who are classified as entrepreneurs (`wd:Q131524`) and have a net worth (`wd:P2218`). We will then sort these individuals by their net worth in descending order and select the top one.

Let's construct and execute the SPARQL query to find the most wealthy entrepreneur.

```sparql
SELECT ?entrepreneur ?netWorth
WHERE {
  ?entrepreneur wdt:P106 wd:Q131524 .
  ?entrepreneur wdt:P2218 ?netWorth .
}
ORDER BY DESC(?netWorth)
LIMIT 1
```

This query will return the most wealthy entrepreneur along with their net worth.

[Tool]
Got 1 row and 2 columns:
| entrepreneur           | netWorth                   |
| ---------------------- | -------------------------- |
| Elon Musk (wd:Q317521) | 270100000000 (xsd:decimal) |

[Assistant]
The most wealthy entrepreneur is Elon Musk, with a net worth of approximately $270.1 billion.

Here is the final SPARQL query and answer:

```sparql
SELECT ?entrepreneur ?netWorth
WHERE {
  ?entrepreneur wdt:P106 wd:Q131524 .
  ?entrepreneur wdt:P2218 ?netWorth .
}
ORDER BY DESC(?netWorth)
LIMIT 1
```

Answer: The most wealthy entrepreneur is Elon Musk.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is well-constructed and returns the correct answer. It identifies the most wealthy entrepreneur based on their net worth, and the result is as expected.


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 determine if water is colorless, we need to find out if there is a statement in the knowledge graph that describes the color of water. Let's start by searching for the entity "water" in the knowledge graph.

[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 top result for "water" is the chemical compound with the identifier `wd:Q283`. This seems to be the correct entity for water. Next, we need to find out if there is a property that describes the color of water. Let's 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 wdt/p): 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 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)
3. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): 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 wdt/p): 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 wdt/p): 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 wdt/p): 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 top result for the property related to "color" is `wd:P462`, which describes the color of the subject. Now, let's construct a SPARQL query to check if water (`wd:Q283`) has a color and what that color is.

We will use an ASK query to determine if there is a statement about the color of water and then retrieve the color if it exists.

Let's execute the SPARQL query:

```sparql
ASK WHERE {
  wd:Q283 wdt:P462 ?color .
}
```

If the query returns true, we will then retrieve the color. If it returns false, we will conclude that there is no information about the color of water in the knowledge graph.

Let's start with the ASK query.

[Tool] True

[Assistant]
The ASK query returned true, which means there is a statement about the color of water in the knowledge graph. Now, let's retrieve the color of water by executing a SELECT query.

Here is the SPARQL query to retrieve the color of water:

```sparql
SELECT ?color WHERE {
  wd:Q283 wdt:P462 ?color .
}
```

Let's execute this query to find out the color of water.

[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 query returned multiple colors associated with water, including "colorless" (`wd:Q1396399`), "white" (`wd:Q23444`), "green" (`wd:Q3133`), "color of water" (`wd:Q5148636`), and "turquoise" (`wd:Q5960345`).

However, the most relevant and commonly accepted color for pure water is "colorless." To provide a clear and concise answer, we can focus on the "colorless" result.

Therefore, the answer to the question "Is water colorless?" is **True**.

Let's finalize the answer with the SPARQL query and the conclusion.

```sparql
ASK WHERE {
  wd:Q283 wdt:P462 wd:Q1396399 .
}
```

This ASK query will confirm that water is indeed colorless.

Let's execute this final query to confirm.

[Tool] True

[Assistant]
The final ASK query confirmed that water is indeed colorless. Therefore, the answer to the question "Is water colorless?" is **True**.

Here is the final SPARQL query and the answer:

```sparql
ASK WHERE {
  wd:Q283 wdt:P462 wd:Q1396399 .
}
```

Answer: True

Now, I will provide the final answer using the `answer` function.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correctly formulated as an ASK query and it accurately checks whether water (wd:Q283) has the property of being colorless (wd:Q1396399). The execution result is True, which correctly answers the question 'Is water colorless?'


Failed to generate SPARQL query

[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 the official name of the United States of America and then check how it is referred to in Turkish. Let's start by identifying the entity for the United States of America and the property for its official name.

### Step 1: Identify the entity for the United States of America
I will search for the entity representing the United States of America in Wikidata.

```json
{
  "name": "search_entity",
  "arguments": {
    "kg": "wikidata",
    "query": "United States of America"
  }
}
```
<tool_call>
{"name": "search_entity", "arguments": {"kg": "wikidata", "query": "United States of America"}}</tool_call>
<tool_call>
{"results": [{"id": "wd:Q30", "label": "United States of America", "description": "country in North America", "score": 1.0}], "total": 1}


PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wd: <http://www.wikidata.org/entity/>
ASK WHERE {
  wd:Q242643 p:P166 ?statement .
  ?statement ps:P166 wd:Q194285 .
}

Naomi Novik has not won the Nebula Award.

[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 the question "How often did Naomi Novik win the Nebula Award?", we need to identify the following:

1. The entity representing Naomi Novik.
2. The entity representing the Nebula Award.
3. The property that indicates winning an award.

Let's start by searching for the entity representing 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 top result for "Naomi Novik" is `wd:Q242643`, which represents the science fiction writer Naomi Novik. Next, let's search for the entity representing the Nebula Award.

[Tool]
Top 10 entity alternatives:
1. Nebula Award (wd:Q194285): literature prize for science fiction and fantasy works from the United States
2. Xingyun Award, also known as Chinese Nebula Award, World Chinese Science Fiction Association (wd:Q10891657): Chinese literary award
3. Nebula Awards 22, also known as Nebula Award Showcase (wd:Q30078063): 1988 anthology edited by George Zebrowski
4. Nebula Awards Showcase, also known as Nebula Winners, Nebula Award Stories (wd:Q28419278): series of annual science fiction and fantasy anthologies
5. Nebula Anthologies, also known as Nebula Award anthologies (wd:Q81185197): anthologies of Nebula-winning short fiction, along with a select...nners-up, published roughly annually since the award's inception
6. Nebula Award Weekend (wd:Q130712827): science fiction convention
7. Nebula Awards Weekend (wd:Q6985281)
8. Nebula Awards 20 (wd:Q30078081): 1985 anthology edited by George Zebrowski
9. Nebula Awards 21 (wd:Q30078078): 1986 anthology edited by George Zebrowski
10. Nebula Awards 23 (wd:Q30078049): 1989 anthology edited by Michael Bishop

[Assistant] The top result for "Nebula Award" is `wd:Q194285`, which represents the literature prize for science fiction and fantasy works from the United States. Now, we need to find the property that indicates winning an award. Let's search for properties related to awards.

[Tool]
Top 10 property alternatives:
1. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): award or recognition received by a person, organization or creative work
2. conferred by, also known as presented by, officiated by, issued by, granted by, given by (wd:P1027 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): person or organization who grants an award, certification, grant, or role
3. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): 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
4. grants, also known as awards, bestows, confers, gives out (wd:P5460 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): confers degree, honor, award, prize, title, certificate or medal denoting achievement to a person or organization
5. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
6. for work, also known as awarded for work, citation for award, for their work on, nominated for work (wd:P1686 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): qualifier of award received (P166) to specify the work that an award was given to the creator for
7. award rationale, also known as award citation, rationale, award reason (wd:P6208 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): qualifier to add short citation explaining the official reason f... or add comments about a person's award. No quote marked needed.
8. nominee, also known as award nominee (wd:P2453 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): qualifier used with “nominated for” to specify which person or organization was nominated
9. eligible recipient, also known as eligible recipient for award, type of recipient who is eligible for this award (wd:P8115 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): party that is eligible to receive something, like an award, grant or prize
10. awarded for period (wd:P4566 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): period during which the achievement must have been made to be eligible for an award

[Assistant]
The property `wd:P166` (award received) is the most relevant for indicating that someone has won an award. Now, let's construct a SPARQL query to count how many times Naomi Novik (`wd:Q242643`) has won the Nebula Award (`wd:Q194285`).

We will start with a simple query to see if we can find any instances where Naomi Novik has won the Nebula Award.

```sparql
SELECT ?award
WHERE {
  wd:Q242643 wdt:P166 ?award .
  FILTER(?award = wd:Q194285)
}
```

Let's execute this query to see the results.

[Tool] Got no rows and 1 columns

[Assistant]
The initial query did not return any results, which suggests that there might be no direct statements linking Naomi Novik to the Nebula Award using the `wdt:P166` property. However, it's possible that the awards are linked through statements with qualifiers or other properties.

Let's try a more complex query to check if Naomi Novik has won the Nebula Award by looking at the specific works she has written and the awards those works have received.

We will first find the works by Naomi Novik and then check if any of these works have won the Nebula Award.

```sparql
SELECT ?work ?award
WHERE {
  wd:Q242643 wdt:P50 ?work .
  ?work wdt:P166 ?award .
  FILTER(?award = wd:Q194285)
}
```

Let's execute this query to see if we can find any works by Naomi Novik that have won the Nebula Award.

[Tool] Got no rows and 2 columns

[Assistant]
The query did not return any results, which suggests that there are no direct statements linking Naomi Novik's works to the Nebula Award using the `wdt:P166` property.

However, it's possible that the awards are linked through more complex relationships or qualifiers. Let's try a different approach by looking at the awards Naomi Novik has received and checking if any of them are the Nebula Award.

We will use the `p:P166` property to include qualifiers and see if we can find more detailed information.

```sparql
SELECT ?award ?work
WHERE {
  wd:Q242643 p:P166 ?statement .
  ?statement ps:P166 ?award ;
             pq:P1686 ?work .
  FILTER(?award = wd:Q194285)
}
```

This query will look for statements where Naomi Novik has received an award and check if the award is the Nebula Award and if it is associated with a specific work.

Let's execute this query to see if we can find any results.

[Tool] Got no rows and 2 columns

[Assistant]
The query still did not return any results, which suggests that there are no direct or qualified statements linking Naomi Novik to the Nebula Award in the way we have queried.

Given that we have tried multiple approaches and still found no results, it is possible that the information is not available in the Wikidata knowledge graph in the form we are querying.

To provide a final answer, we can conclude that based on the available data in Wikidata, there is no evidence that Naomi Novik has won the Nebula Award.

Let's finalize this with an ASK query to confirm that there are no such statements.

```sparql
ASK WHERE {
  wd:Q242643 p:P166 ?statement .
  ?statement ps:P166 wd:Q194285 .
}
```

This ASK query will return `false` if there are no such statements.

Let's execute this query to confirm our conclusion.

[Tool] False

[Assistant]
The ASK query returned `false`, confirming that there are no statements in Wikidata indicating that Naomi Novik has won the Nebula Award.

Therefore, the answer to the question "How often did Naomi Novik win the Nebula Award?" is that she has not won the Nebula Award according to the available data in Wikidata.

Let's finalize this with the answer function.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct. The ASK query properly checks if there is any statement indicating that Naomi Novik (wd:Q242643) has won the Nebula Award (wd:Q194285), and the result is False, meaning she has not won the award. No further refinement is needed.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?creator WHERE {
  wd:Q1211977 wdt:P170 ?creator .
}

The creators of the 'Dinosaurs' TV show are Michael Jacobs and Bob Young.

[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 find the creator of the "Dinosaurs" TV show, we need to identify the entity representing the TV show and then look for the property that indicates its creator. Let's start by searching for the entity "Dinosaurs" TV show in Wikidata.

[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] None of the top 10 results specifically mention the "Dinosaurs" TV show. However, the second result, "television series" (wd:Q5398426), seems like it might be a more general category that could include the specific show we're looking for. Let's try searching for the exact title "Dinosaurs" to see if we can find the specific TV show entity.

[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] It seems that the search for "Dinosaurs TV show" did not yield the specific entity we are looking for. Let's try a more precise search by including the full title "Dinosaurs (TV series)" to see if we can find the correct entity.

[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. TV Séries (wd:Q10377585): Brazilian magazine
3. TV Series (wd:Q50816416): academic journal
4. 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)
5. miniseries, also known as event series, TV miniseries, TV mini series, television miniseries, mini-series (wd:Q1259759): TV shows or series that have a predetermined number of episodes
6. Halo, also known as Halo: The Television Series, Halo (TV Series) (wd:Q55279915): television series
7. 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
8. 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
9. 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
10. 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

[Assistant]
The search for "Dinosaurs (TV series)" did not return the specific entity we are looking for. However, the first result, "television series" (wd:Q5398426), is a general category that might include the specific show. Let's try a more direct approach by searching for the exact title "Dinosaurs" and then filtering the results to find the TV series.

Let's list the triples where the subject is "Dinosaurs" and see if we can find the specific TV show entity.

[Tool]
Got 69 rows and 3 columns, showing the first 10 rows below:
| subject               | property                                 | object                                                                      |
| --------------------- | ---------------------------------------- | --------------------------------------------------------------------------- |
| Red Flag (wd:Q162165) | instance of (wdt:P31)                    | single (wd:Q134556)                                                         |
| Red Flag (wd:Q162165) | publication date (wdt:P577)              | 2006-09-11T00:00:00Z (xsd:dateTime)                                         |
| Red Flag (wd:Q162165) | part of (wdt:P361)                       | Billy Talent II (wd:Q863256)                                                |
| Red Flag (wd:Q162165) | genre (wdt:P136)                         | punk rock (wd:Q3071)                                                        |
| Red Flag (wd:Q162165) | follows (wdt:P155)                       | Devil in a Midnight Mass (wd:Q5267336)                                      |
| Red Flag (wd:Q162165) | followed by (wdt:P156)                   | Fallen Leaves (wd:Q23279)                                                   |
| Red Flag (wd:Q162165) | performer (wdt:P175)                     | Billy Talent (wd:Q154815)                                                   |
| Red Flag (wd:Q162165) | record label (wdt:P264)                  | Atlantic Records (wd:Q202440)                                               |
| Red Flag (wd:Q162165) | Freebase ID (wdt:P646)                   | /m/0fyq0z                                                                   |
| Red Flag (wd:Q162165) | MusicBrainz release group ID (wdtn:P436) | <http://musicbrainz.org/release-group/7a26e678-d25f-3f8c-823e-2dba9bc8fb1b> |
| ...                   | ...                                      | ...                                                                         |

[Assistant]
It appears that the entity `wd:Q162165` refers to a song called "Red Flag" rather than the TV show "Dinosaurs." Let's try another search for the exact title "Dinosaurs" and see if we can find the specific TV show entity.

I will perform a search for the entity "Dinosaurs" and then filter the results to find the TV series.

[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]
The second result, "Dinosaurs" (wd:Q1211977), is described as a television program, which is likely the TV show we are looking for. Let's confirm this by listing the triples for this entity to see if it has properties that indicate it is indeed the TV show "Dinosaurs."

I will list the triples for the entity `wd:Q1211977` to gather more information.

[Tool]
Got 239 rows and 3 columns, showing the first 10 rows below:
| subject                 | property                     | object                                |
| ----------------------- | ---------------------------- | ------------------------------------- |
| Dinosaurs (wd:Q1211977) | instance of (wdt:P31)        | television series (wd:Q5398426)       |
| Dinosaurs (wd:Q1211977) | title (wdt:P1476)            | Dinosaurs (en)                        |
| Dinosaurs (wd:Q1211977) | has part(s) (wdt:P527)       | Dinosaurs, season 1 (wd:Q63522500)    |
| Dinosaurs (wd:Q1211977) | country of origin (wdt:P495) | United States (wd:Q30)                |
| Dinosaurs (wd:Q1211977) | official website (wdt:P856)  | <https://movies.disney.com/dinosaurs> |
| Dinosaurs (wd:Q1211977) | genre (wdt:P136)             | sitcom (wd:Q170238)                   |
| Dinosaurs (wd:Q1211977) | award received (wdt:P166)    | Genesis Award (wd:Q135498)            |
| Dinosaurs (wd:Q1211977) | cast member (wdt:P161)       | Christopher Meloni (wd:Q380095)       |
| Dinosaurs (wd:Q1211977) | creator (wdt:P170)           | Michael Jacobs (wd:Q3308269)          |
| Dinosaurs (wd:Q1211977) | start time (wdt:P580)        | 1991-04-26T00:00:00Z (xsd:dateTime)   |
| ...                     | ...                          | ...                                   |

[Assistant]
The entity `wd:Q1211977` is indeed the TV show "Dinosaurs," and it has a property `creator` (wdt:P170) that points to the creator of the show. The creator is listed as Michael Jacobs (wd:Q3308269).

Now, let's construct a SPARQL query to retrieve the creator of the "Dinosaurs" TV show.

```sparql
SELECT ?creator WHERE {
  wd:Q1211977 wdt:P170 ?creator .
}
```

I will execute this query to confirm the result.

[Tool]
Got 2 rows and 1 column:
| creator                      |
| ---------------------------- |
| Michael Jacobs (wd:Q3308269) |
| Bob Young (wd:Q4934478)      |

[Assistant]
The query returned two creators for the "Dinosaurs" TV show: Michael Jacobs (wd:Q3308269) and Bob Young (wd:Q4934478).

Therefore, the creators of the "Dinosaurs" TV show are Michael Jacobs and Bob Young.

Here is the final SPARQL query and answer:

```sparql
SELECT ?creator WHERE {
  wd:Q1211977 wdt:P170 ?creator .
}
```

Answer: The creators of the "Dinosaurs" TV show are Michael Jacobs and Bob Young.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query correctly identifies the creators of the 'Dinosaurs' TV show using the appropriate entity and property from Wikidata.


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 ?location ?locationLabel WHERE {
  wd:Q551416 wdt:P276 ?location .
  OPTIONAL {
    ?location rdfs:label ?locationLabel .
    FILTER ( LANG( ?locationLabel ) = "en" )
  }
}

Hambach Castle

[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 about where the Hambach Festival happened, we need to identify the entity representing the Hambach Festival and then find the property that indicates its location.

### Step 1: Identify the Hambach Festival entity
First, let's search for the entity representing the Hambach Festival in Wikidata.

[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 top result for the Hambach Festival is `wd:Q551416`, which is described as the 1832 German festival. This seems to be the correct entity.

### Step 2: Identify the property for the location of the festival
Next, we need to find the property that indicates the location of the festival. We can search for properties related to "location" or "place" for the entity `wd:Q551416`.

Let's search for properties related to "location" for the Hambach Festival entity.

[Tool]
Top 10 property alternatives:
1. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as wdt/p): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
2. 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
3. start time, also known as start date, since, valid, join time, joined (wd:P580 as wdt/p): time an entity begins to exist or a statement starts being valid, point in time
4. participant, also known as suspect, player, party, participants, has participant (wd:P710 as wdt/p): person, group of people or organization (object) that actively t...ct has role" (P3831). Use P1923 for participants that are teams., significant person
5. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as wdt/p): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
6. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as wdt/p): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
7. GND ID, also known as Deutschen Nationalbibliothek ID, Universal Authority File, Integrated Authority File, IndividualisedGnd, GND-IDN (wd:P227 as wdt/p/wdtn): identifier from an international authority file of names, subjects, and organizations
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. FactGrid item ID, also known as FG ID, FactGrid ID (wd:P8168 as wdt/p/wdtn): identifier for an item in FactGrid
10. facet of, also known as subitem of, topic of, subtopic of, subject in, section in (wd:P1269 as wdt/p): topic of which this item is an aspect; item that offers a broader perspective on the same topic

No other items found

[Assistant]
The top result for the property related to "location" is `wdt:P276`, which is described as the location of the object, structure, or event. This seems to be the correct property to use.

### Step 3: Construct the SPARQL query
Now, we can construct a SPARQL query to find the location of the Hambach Festival.

```sparql
SELECT ?location ?locationLabel
WHERE {
  wd:Q551416 wdt:P276 ?location .
  OPTIONAL { ?location rdfs:label ?locationLabel . FILTER(LANG(?locationLabel) = "en") }
}
```

This query will return the location of the Hambach Festival and, if available, the English label of the location.

Let's execute this query to get the result.

[Tool]
Got 1 row and 2 columns:
| location                    | locationLabel       |
| --------------------------- | ------------------- |
| Hambach Castle (wd:Q523286) | Hambach Castle (en) |

[Assistant]
The Hambach Festival happened at Hambach Castle.

### Final Answer
The Hambach Festival took place at Hambach Castle.

Here is the final SPARQL query:

```sparql
SELECT ?location ?locationLabel
WHERE {
  wd:Q551416 wdt:P276 ?location .
  OPTIONAL { ?location rdfs:label ?locationLabel . FILTER(LANG(?locationLabel) = "en") }
}
```

And the answer is:

**Hambach Castle**

Let's finalize this with the `answer` function.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query correctly identifies the location of the Hambach Festival, which is Hambach Castle. The query follows all the rules and returns the IRI of the location along with its label.