PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?creator ?creatorLabel WHERE {
  wd:Q111135 wdt:P170 ?creator .
  OPTIONAL {
    ?creator rdfs:label ?creatorLabel .
    FILTER ( LANG( ?creatorLabel ) = "en" )
  }
}

Art Babbitt

[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 created Goofy?

[Assistant]
To answer the question "Who created Goofy?", we need to identify the character "Goofy" and then find out who created it. Let's start by searching for the entity "Goofy" in the knowledge graph.

I will use the `search_entity` function to find the entity for Goofy.

[Tool]
Top 10 entity alternatives:
1. Goofy, also known as Dippy Dawg, George Geef, Goofy Goof (wd:Q111135): Disney cartoon character
2. Goofy (wd:Q5583788): dance music and hip hop trio
3. Goofy (wd:Q3028317): series of animated short films
4. GFY, also known as Goofy, golgi associated olfactory signaling regulator (wd:Q18068088): protein-coding gene in the species Homo sapiens
5. goofy stance, also known as goofy, goofy foot, goofy style, right-footed, right-footedness (wd:Q99533732): leading with one's right foot, in boardsports
6. Goofy (wd:Q131593548)
7. Gfy, also known as Gm581, Goofy, golgi-associated olfactory signaling regulator, Gm2515 (wd:Q18315119): protein-coding gene in the species Mus musculus
8. Richard "Goofy" Campbell, also known as Chad Simpson, Goofy (wd:Q99697433): musician
9. goofy (wd:L23413)
10. goofy (wd:L23413-F1)

[Assistant]
The top result for "Goofy" is the Disney cartoon character, which is what we are looking for. The IRI for this entity is `wd:Q111135`.

Next, we need to find the property that indicates the creator of a character. Let's search for properties related to "creator" or "created by".

I will use the `search_property` function to find the relevant property.

[Tool]
Top 10 property alternatives:
1. collection creator, also known as creator, archive creator, collector, archives of, archive of (wd:P6241 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/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 psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/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 psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/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 psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/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 psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/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 psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/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 psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/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 psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/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 psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/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 psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): text through which an institution or object has been created or established

[Assistant]
The property "creator" (P170) seems to be the most appropriate for our purpose. It indicates the maker of a creative work or other object.

Now, let's construct a SPARQL query to find the creator of Goofy (wd:Q111135).

I will execute the following SPARQL query:

```sparql
SELECT ?creator WHERE {
  wd:Q111135 wdt:P170 ?creator .
}
```

This query will return the creator of Goofy.

Let's execute the query.

[Tool]
Got 1 row and 1 column:
| ?creator                  |
| ------------------------- |
| Art Babbitt (wd:Q2420722) |

[Assistant]
The creator of Goofy is Art Babbitt, whose IRI is `wd:Q2420722`.

To provide a complete answer, I will include the label of the creator in the final SPARQL query. Here is the final SPARQL query:

```sparql
SELECT ?creator ?creatorLabel WHERE {
  wd:Q111135 wdt:P170 ?creator .
  OPTIONAL { ?creator rdfs:label ?creatorLabel . FILTER(LANG(?creatorLabel) = "en") }
}
```

Let's execute this final query to get the label of the creator.

[Tool]
Got 1 row and 2 columns:
| ?creator                  | ?creatorLabel |
| ------------------------- | ------------- |
| Art Babbitt (wd:Q2420722) | Art Babbitt   |

[Assistant]
The creator of Goofy is Art Babbitt.

Here is the final SPARQL query and the answer:

```sparql
SELECT ?creator ?creatorLabel WHERE {
  wd:Q111135 wdt:P170 ?creator .
  OPTIONAL { ?creator rdfs:label ?creatorLabel . FILTER(LANG(?creatorLabel) = "en") }
}
```

Answer: Art Babbitt

I will now provide the final answer using the `answer` function.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?show WHERE {
  wd:Q25014 wdt:P800 ?show .
  ?show wdt:P31 wd:Q5398426 .
  ?show wdt:P170 wd:Q25014 .
}

Fawlty Towers

[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 television shows were created by John Cleese?

[Assistant]
To answer this question, we need to identify the entity for John Cleese and the property that indicates the creation of television shows. Let's start by searching for John Cleese in the knowledge graph.

I will use the `search_entity` function to find the entity for John Cleese.

[Tool]
Top 10 entity alternatives:
1. John Cleese, also known as John Marwood Cleese (wd:Q25014): English comedian and actor (born 1939), television actor, autobiographer, film producer, film director, screenwriter, stage actor, voice actor, film actor, comedian, writer, actor
2. Landfill named after comedian John Cleese (wd:Q17665651): Wikinews article
3. John the Apostle, also known as John, St. John, St John the Apostle, St. John the Apostle, Saint John the Apostle (wd:Q44015): apostle of Jesus; son of Zebedee and Salome, brother of James; t...th John the Evangelist, John of Patmos, and the Beloved Disciple, theologian, author, fisher, mystic
4. John, King of England, also known as John I Lackland, King John of England, King John, John of England, John Lackland (wd:Q129308): King of England from 1199 to 1216, monarch
5. John I, also known as Ioannes I, Pope John I, Pope John, John (wd:Q160916): Catholic priest, writer, pope
6. Guy Fawkes, also known as Guido Fawkes, John Johnson (wd:Q13898): English member of the Gunpowder Plot of 1605, military personnel, soldier
7. John XV, also known as Pope John XV, John, Ioannes XV (wd:Q228649): Catholic priest, writer, pope
8. John the Evangelist, also known as St. John the Evangelist, St John the Evangelist, Saint John the Evangelist, John (wd:Q328804): author of the Gospel of John; traditionally identified with John...s, John of Patmos (author of Revelation), and John the Presbyter, evangelist
9. John Wick, also known as John, John Wick: Chapter 1 (wd:Q15732802): 2014 film directed by Chad Stahelski and David Leitch
10. Jack Johnson, also known as Black Jack Johnson, Galveston Giant, John Arthur Johnson, John Johnson (wd:Q316689): American boxer (1878–1946), boxer

[Assistant]
The correct entity for John Cleese is `wd:Q25014`. Next, we need to find the property that indicates the creation of television shows. We can search for properties related to "creator" or "created" to find the appropriate property.

I will use the `search_property` function to find the relevant property.

[Tool]
Top 10 property alternatives:
1. collection creator, also known as creator, archive creator, collector, archives of, archive of (wd:P6241 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/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 psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/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 psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/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 psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/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 psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/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 psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/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 psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/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 psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/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 psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/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 psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): text through which an institution or object has been created or established

[Assistant]
The property `wd:P170` (creator) seems to be the most appropriate for indicating the creator of a television show. Now, let's construct a SPARQL query to find the television shows created by John Cleese.

We will use the following pattern:
```sparql
SELECT ?show WHERE {
  wd:Q25014 wdt:P170 ?show .
  ?show wdt:P31 wd:Q5398426 .  # P31 is "instance of" and Q5398426 is "television series"
}
```

Let's execute this query to see the results.

[Tool] Got no rows and 1 columns

[Assistant]
It appears that the initial query did not return any results. This might be because the property `wd:P170` (creator) is not being used in the way we expected for television shows. Let's try another approach by looking at the properties and objects associated with John Cleese to see if there are any other relevant properties or entities.

I will use the `list` function to explore the properties and objects associated with John Cleese (`wd:Q25014`).

[Tool]
Got 792 rows and 3 columns, showing the first 10 rows below:
| subject                 | property                         | object                                                                                |
| ----------------------- | -------------------------------- | -------------------------------------------------------------------------------------- |
| John Cleese (wd:Q25014) | instance of (wdt:P31)            | human (wd:Q5)                                                                          |
| John Cleese (wd:Q25014) | occupation (wdt:P106)            | actor (wd:Q33999)                                                                      |
| John Cleese (wd:Q25014) | sex or gender (wdt:P21)          | male (wd:Q6581097)                                                                     |
| John Cleese (wd:Q25014) | given name (wdt:P735)            | John (wd:Q4925477)                                                                     |
| John Cleese (wd:Q25014) | date of birth (wdt:P569)         | 1939-10-27T00:00:00Z                                                                   |
| John Cleese (wd:Q25014) | Commons category (wdt:P373)      | John Cleese                                                                            |
| John Cleese (wd:Q25014) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/John%20Cleese%20%28cropped%29.jpg> |
| John Cleese (wd:Q25014) | country of citizenship (wdt:P27) | United Kingdom (wd:Q145)                                                               |
| John Cleese (wd:Q25014) | family name (wdt:P734)           | Cleese (wd:Q56538028)                                                                  |
| John Cleese (wd:Q25014) | place of birth (wdt:P19)         | Weston-super-Mare (wd:Q845623)                                                         |
| ...                     | ...                              | ...                                                                                |

[Assistant]
From the list of properties and objects associated with John Cleese, we don't see any direct links to television shows he created. However, we can try to find the television shows he was involved in by looking at his notable works or the shows he contributed to in some capacity.

Let's try using the property `wd:P800` (notable work) to see if it provides any relevant information.

Here is the updated SPARQL query:
```sparql
SELECT ?show WHERE {
  wd:Q25014 wdt:P800 ?show .
  ?show wdt:P31 wd:Q5398426 .  # P31 is "instance of" and Q5398426 is "television series"
}
```

Let's execute this query to see the results.

[Tool]
Got 1 row and 1 column:
| ?show                      |
| -------------------------- |
| Fawlty Towers (wd:Q212731) |

[Assistant]
The query returned one television show that John Cleese is notably associated with: "Fawlty Towers" (wd:Q212731).

To ensure that this is indeed a show he created, we can check if he is listed as a creator of this show. Let's add an additional filter to verify this.

Here is the refined SPARQL query:
```sparql
SELECT ?show WHERE {
  wd:Q25014 wdt:P800 ?show .
  ?show wdt:P31 wd:Q5398426 .  # P31 is "instance of" and Q5398426 is "television series"
  ?show wdt:P170 wd:Q25014 .   # P170 is "creator"
}
```

Let's execute this query to confirm.

[Tool]
Got 1 row and 1 column:
| ?show                      |
| -------------------------- |
| Fawlty Towers (wd:Q212731) |

[Assistant]
The refined query confirms that "Fawlty Towers" (wd:Q212731) is a television show created by John Cleese.

Therefore, the answer to the question "Which television shows were created by John Cleese?" is:

**Fawlty Towers**

Here is the final SPARQL query and answer:

```sparql
SELECT ?show WHERE {
  wd:Q25014 wdt:P800 ?show .
  ?show wdt:P31 wd:Q5398426 .
  ?show wdt:P170 wd:Q25014 .
}
```

Answer: **Fawlty Towers**

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?endDate WHERE {
  wd:Q9903 wdt:P576 ?endDate .
}

The Ming dynasty dissolved in the year 1644.

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

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

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

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

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

[User] When did the Ming dynasty dissolve?

[Assistant] To answer when the Ming dynasty dissolved, we need to identify the entity for the Ming dynasty and then find the property that indicates its dissolution or end date. Let's start by searching for the entity representing the Ming dynasty.

[Tool]
Top 10 entity alternatives:
1. Ming dynasty, also known as Ming period, Ming imperium, Ming China, Ming-era, Ming Empire (wd:Q9903): imperial dynasty of China from 1368 to 1644
2. Empress of the Ming, also known as Ming Dynasty (wd:Q61650149): Chinese TV series or program
3. Ming Dynasty (wd:Q6864636): 2007 Chinese television series
4. Ming Dynasty (wd:Q6864635): Australian Thoroughbred racehorse
5. Ming dynasty (wd:Q103958345): encyclopedia article
6. Ming dynasty (wd:L663750-S5)
7. Ming tombs, also known as Ming dynasty tombs (wd:Q41135): collection of mausoleums built by the emperors of the Ming dynasty of China
8. Southern Ming dynasty, also known as Southern Ming (wd:Q1198163): dynasty
9. history of the Ming dynasty, also known as history of Ming dynasty, Ming dynasty history, the Ming dynasty history (wd:Q16843870): aspect of history
10. Ming dynasty painting (wd:Q6864640): overview of Ming dynasty painting

[Assistant] The correct entity for the Ming dynasty is `wd:Q9903`. Now, let's find the property that indicates the end date or dissolution of the Ming dynasty. We can search for properties related to "end" or "dissolution".

[Tool]
Top 10 property alternatives:
1. dissolved, abolished or demolished date, also known as ended, publication end date, final issue, date repealed, final year (wd:P576 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): point in time at which the subject (organisation, building) ceas...g equipment,  "discontinued date" (P2669) for stopping a product, end time
2. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
3. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): dissolved, abolished or demolished date, date on which the subject died, end time
4. latest date, also known as terminus ante quem, prior to, on or before this date, no later than, max date (wd:P1326 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): latest possible time that something could have occurred. Use as qualifier for other date properties
5. earliest end date, also known as end date (earliest) (wd:P8554 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): (qualifier) earliest date on which the statement could have begun to no longer be true, earliest date, end time
6. work period (end), also known as floruit end, floruit (end of work), flourished (end), retirement, work ends (wd:P2032 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): end of period during which a person or group flourished (fl. = "floruit") in their professional activity, end time, floruit
7. date of official closure, also known as closed, official closure, date of closure, closure date, closing date (wd:P3999 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): date of official closure of a building or event, end time
8. end of covered period, also known as coverage end date, covered period end (wd:P7104 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): end of period covered by an archive set, a historical book, or a collection
9. end period, also known as until period (wd:P3416 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): last period in which the statement is still valid (including the period-value)
10. earliest date, also known as no earlier than, terminus post quem, start date (earliest), on or after this date, minimum date (wd:P1319 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): earliest date at which an event could have happened. Use as qualifier for other date properties

[Assistant]
The property `wd:P576` (dissolved, abolished or demolished date) seems to be the most appropriate for finding the end date of the Ming dynasty. Let's construct a SPARQL query to retrieve this information.

We will query for the end date of the Ming dynasty using the identified property.

```sparql
SELECT ?endDate
WHERE {
  wd:Q9903 wdt:P576 ?endDate .
}
```

Let's execute this query.

[Tool]
Got 1 row and 1 column:
| ?endDate             |
| -------------------- |
| 1644-01-01T00:00:00Z |

[Assistant]
The SPARQL query returned the end date of the Ming dynasty as `1644-01-01T00:00:00Z`. This indicates that the Ming dynasty dissolved in the year 1644.

Here is the final SPARQL query and the answer:

```sparql
SELECT ?endDate
WHERE {
  wd:Q9903 wdt:P576 ?endDate .
}
```

The Ming dynasty dissolved in the year 1644.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?mountain ?mountainLabel WHERE {
  wd:Q35600 wdt:P610 ?mountain .
  OPTIONAL {
    ?mountain rdfs:label ?mountainLabel .
    FILTER ( LANG( ?mountainLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| ?mountain                     | ?mountainLabel  |
| ----------------------------- | --------------- |
| Mount Narodnaya (wd:Q1142817) | Mount Narodnaya |

The highest place of the Urals is Mount Narodnaya.

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

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

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

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

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

[User] What is the highest place of the Urals?

[Assistant] To find the highest place of the Urals, we need to identify the entity representing the Urals and then look for the highest peak or mountain within that region. Let's start by searching for the entity representing the Urals.

[Tool]
Top 10 entity alternatives:
1. Ural Mountains, also known as the Urals, Urals (wd:Q35600): mountain range in Russia
2. Ural Mountains, also known as the Urals, Urals (wd:Q35600): mountain range in Russia
3. Oral, also known as Uralsk (wd:Q487439): city in Kazakhstan
4. Polar Ural, also known as Polar Urals, Poljarny Ural (wd:Q2641506): northernmost part of the Ural Mountains
5. Polar Ural, also known as Polar Urals, Poljarny Ural (wd:Q2641506): northernmost part of the Ural Mountains
6. North Urals, also known as Severnyy Ural (wd:Q2476466)
7. Subpolar Ural, also known as Pripolyarnyy Ural, Subarctic Ural, Subpolar Urals (wd:Q2371368): highest part of the Ural mountains
8. Uralsky (wd:Q1049127): human settlement in Abzelilovsky District, Republic of Bashkortostan, Russia
9. Uralsk (wd:Q4476704): human settlement in Uchalinsky District, Republic of Bashkortostan, Russia
10. Uralskaya (wd:Q2389728): Yekaterinburg Metro Station

[Assistant]
The top result for the Urals is the Ural Mountains (wd:Q35600). This is the mountain range we are interested in. Next, we need to find the highest peak or mountain within this range. We can use the property "highest point" (P610) to find this information.

Let's check if the Ural Mountains have a highest point specified.

[Tool]
Got 1 row and 3 columns:
| subject                    | property                 | object                        |
| -------------------------- | ------------------------ | ----------------------------- |
| Ural Mountains (wd:Q35600) | highest point (wdt:P610) | Mount Narodnaya (wd:Q1142817) |

[Assistant]
The highest point of the Ural Mountains is Mount Narodnaya (wd:Q1142817). To provide a complete answer, let's construct a SPARQL query to confirm this and optionally include the label of the mountain.

Here is the SPARQL query:

```sparql
SELECT ?mountain ?mountainLabel
WHERE {
  wd:Q35600 wdt:P610 ?mountain.
  OPTIONAL { ?mountain rdfs:label ?mountainLabel. FILTER(LANG(?mountainLabel) = "en") }
}
```

Let's execute this query to get the result.

[Tool]
Got 1 row and 2 columns:
| ?mountain                     | ?mountainLabel  |
| ----------------------------- | --------------- |
| Mount Narodnaya (wd:Q1142817) | Mount Narodnaya |

[Assistant]
The highest place of the Urals is Mount Narodnaya (wd:Q1142817).

Here is the final SPARQL query and answer:

```sparql
SELECT ?mountain ?mountainLabel
WHERE {
  wd:Q35600 wdt:P610 ?mountain.
  OPTIONAL { ?mountain rdfs:label ?mountainLabel. FILTER(LANG(?mountainLabel) = "en") }
}
```

Answer: The highest place of the Urals is Mount Narodnaya.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?country WHERE {
  wd:Q78707 wdt:P205 ?country .
}

Got 2 rows and 1 column:
| ?country           |
| ------------------ |
| Russia (wd:Q159)   |
| Mongolia (wd:Q711) |

The Yenisei river flows through Russia and Mongolia.

[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] Through which countries does the Yenisei river flow?

[Assistant] To answer the question about the countries through which the Yenisei river flows, we need to identify the entity for the Yenisei river and then find the countries it flows through. Let's start by searching for the Yenisei river in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Yenisey, also known as River Yenisei, Yenisei River, Yenisei R., Yenisei, R. Yenisei (wd:Q78707): river in Asia; the 5th-longest in the world
2. Yenisei River (wd:Q34969643): river in Russia
3. Yenisei River, also known as IMO 9629586 (wd:Q113553726): ship built in 2013
4. Little Yenisey, also known as Little Yenisei River, Shishged River, Shishged Gol, Maly Yenisey, Malyj Enisej (wd:Q1511505): river in Russia and Mongolia
5. A new ferrobacterium from Yenisei River (wd:Q82038486): scientific article published on October 29, 2010
6. river, also known as rivers (wd:Q4022): larger natural watercourse
7. Club Atlético River Plate, also known as CA River Plate, C.A.R.P., CARP, River, River Plate (wd:Q15799): Argentine professional sports club based in Buenos Aires
8. Khakas people, also known as Yenisei Kirgiz, Yennisej Tatars, Yenisei Turks, Yenisei Tatars, Yenisei Kyrgyz (wd:Q240293): ethnic group
9. main stream, also known as main stem, mainstem, river, trunk, veletok (wd:Q573344): final large channel of a riverine system
10. Kaduna River, also known as River (wd:Q2338605): river in Nigeria

[Assistant] The top result for the Yenisei river is `wd:Q78707`. This seems to be the correct entity for the Yenisei river. Next, we need to find the countries through which this river flows. We can look for a property that indicates the countries a river flows through. Let's search for such a property.

[Tool]
Top 10 property alternatives:
1. tributary, also known as has inflow of, affluent, receives tributary, receives river, has river inflow (wd:P974 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): watercourse that flows into an other one (for lake inflows use P200)
2. inflows, also known as inflow, lake inflow, river inflows (wd:P200 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): major inflow sources — rivers, aquifers, glacial runoff, etc. Some terms may not be place names, e.g. none
3. origin of the watercourse, also known as headwaters, water source, water origin, water body origin, stream source (wd:P885 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): main source of a river, stream or lake
4. located in or next to body of water, also known as located on body of water, ocean, on bay, next to lake, on coast of (wd:P206 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): body of water on or next to which a place is located, location
5. mouth of the watercourse, also known as flows into, watercourse outflow, watercourse ends in, watercourse drain, tributary of (wd:P403 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): the body of water to which the watercourse drains
6. route map, also known as schema, street map, railway map, subway map, transit map (wd:P15 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): image of route map at Wikimedia Commons, locator map image
7. drainage basin, also known as watershed, water basin, river basin district, river basin, catchment area (wd:P4614 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): area where precipitation collects and drains off into a common outlet, such as into a river, bay, or other body of water, located in/on physical feature
8. tributary orientation, also known as orientation of tributary (wd:P3871 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): specify if the stream confluence is a left bank or right bank tributary
9. basin country, also known as basin countries (wd:P205 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): country that have drainage to/from or border the body of water
10. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location

[Assistant]
The property `basin country` (wd:P205) seems to be the most relevant for identifying the countries through which a river flows. Let's use this property to find the countries through which the Yenisei river flows.

I will now construct a SPARQL query to retrieve the countries through which the Yenisei river flows.

[Tool]
Got 2 rows and 1 column:
| ?country           |
| ------------------ |
| Russia (wd:Q159)   |
| Mongolia (wd:Q711) |

[Assistant]
The SPARQL query returned the countries through which the Yenisei river flows. The Yenisei river flows through Russia (wd:Q159) and Mongolia (wd:Q711).

Here is the final SPARQL query and the answer to the question:

```sparql
SELECT ?country WHERE {
  wd:Q78707 wdt:P205 ?country .
}
```

The Yenisei river flows through Russia and Mongolia.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?actor ?actorLabel WHERE {
  ?actor wdt:P106 wd:Q33999 .
  ?actor wdt:P19 wd:Q183 .
  OPTIONAL {
    ?actor rdfs:label ?actorLabel .
    FILTER ( LANG( ?actorLabel ) = "en" )
  }
}
LIMIT 100

Got 100 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?actor                                   | ?actorLabel              |
| ---------------------------------------- | ------------------------ |
| Betty Astor (wd:Q102635)                 | Betty Astor              |
| Béatrice Jean-Philippe (wd:Q104699210)   | Béatrice Jean-Philippe   |
| Michael Bornhütter (wd:Q105062031)       | Michael Bornhütter       |
| Phong Giang (wd:Q105062089)              | Phong Giang              |
| Patrick Nattawat Finkler (wd:Q105654184) | Patrick Nattawat Finkler |
| ...                                      | ...                      |
| Carl Winterhoff (wd:Q5040978)            | Carl Winterhoff          |
| Anja Sommavilla (wd:Q551286)             | Anja Sommavilla          |
| Christoph Banken (wd:Q55439603)          | Christoph Banken         |
| Veit Bethke (wd:Q5574838)                | Veit Bethke              |
| Heidemarie Fuentes (wd:Q5698755)         | Heidemarie Fuentes       |

The following actors were born in Germany: Betty Astor, Béatrice Jean-Philippe, Michael Bornhütter, Phong Giang, Patrick Nattawat Finkler, and many others.

[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 actors were born in Germany?

[Assistant]
To answer the question "Which actors were born in Germany?", we need to identify the relevant entities and properties in the knowledge graph:

1. **Actors**: We need to find entities that are classified as actors.
2. **Place of Birth**: We need to find the property that indicates the place of birth.
3. **Germany**: We need to identify the entity representing Germany.

Let's start by searching for the entity representing Germany and the property for place of birth.

### Step 1: Search for the entity representing Germany
I will use the `search_entity` function to find the entity for Germany.

### Step 2: Search for the property for place of birth
I will use the `search_property` function to find the property for place of birth.

### Step 3: Identify actors
I will use the `search_property` function to find the property that indicates someone is an actor.

Let's start with the first step.

[Tool]
Top 10 entity alternatives:
1. Germany, also known as BR Deutschland, Bundesrepublik Deutschland, Deutschland, Federal Republic of Germany (wd:Q183): country in Central Europe
2. Weimar Republic, also known as German Republic, Weimar Germany, Republic of Germany, Germany, German Reich (wd:Q41304): Germany in the years 1918/1919–1933
3. German Reich, also known as Deutsches Reich, German Empire, German Realm, Germany, Imperial Germany (wd:Q1206012): official name for the German nation state from 1871 to 1945, and name of Germany until 1949
4. Burg Drachenfels, also known as Germany (wd:Q1011486): castle
5. Germany (wd:Q5552078): European Parliament constituency
6. Geilenkirchen-Heinsberg, also known as Germany (wd:Q2268218)
7. Germany, also known as Germany, IN, Germany, Indiana (wd:Q18151573): unincorporated community in Clark County, Indiana
8. Germany (wd:Q19147844): poem by Vladimir Mayakovsky
9. Germany, also known as Ludwig, West (wd:Q3839160): Hetalia character
10. Germany, also known as Germany, Texas, Germany, TX (wd:Q15221573): unincorporated community in Houston County, Texas, United States

[Assistant]
The top result for "Germany" is `wd:Q183`, which represents the country in Central Europe. This is the entity we need.

### Step 2: Search for the property for place of birth
Now, let's search for the property that indicates the place of birth.

[Tool]
Top 10 property alternatives:
1. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): most specific known birth location of a person, animal or fictional character, location
2. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): date on which the subject was born, inception
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): the object is a country that recognizes the subject as its citizen, country
4. birthday, also known as b-day, bday, birth day (wd:P3150 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., date of birth
5. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): full name of a person at birth, if different from their current, generally used name, name
6. category for people born here, also known as category for place of birth, category of people born here (wd:P1464 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): category item that groups people born in this place, related category
7. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): place where a statement is valid, applies to part
8. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
9. country, also known as sovereign state, state, land, host country (wd:P17 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
10. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): what the place, monument, memorial, or holiday, commemorates, main subject

[Assistant]
The top result for "place of birth" is `wd:P19`. This is the property we need to use to find the place of birth of individuals.

### Step 3: Identify actors
Next, we need to find the property that indicates someone is an actor. Let's search for the property "actor" or "occupation".

### Step 4: Build the SPARQL query
Once we have the property for occupation, we can build the SPARQL query to find actors who were born in Germany.

Let's search for the property "occupation" or "actor".

[Tool]
Top 10 property alternatives:
1. occupation, also known as job, work, vocation, profession, employment (wd:P106 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
2. field of this occupation, also known as practice, works in, profession's field, practices, field of this profession (wd:P425 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): field corresponding to this occupation or profession (use only f...fessions - for people use Property:P101, for companies use P452)
3. members have occupation, also known as profession of members, organization of, organization for, organisation of, organisation for (wd:P3989 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): some or all members of this group share the occupation
4. practiced by, also known as proponent, studied by, practitioners, practioner, occupation of this field (wd:P3095 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): type of agents that study this subject or work in this field
5. position held, also known as function, held position, holds position, job, office held (wd:P39 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): subject currently or formerly holds the object position or public office
6. employer, also known as working at, working for, working place, works at, works for (wd:P108 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): person or organization for which the subject works or worked, affiliation
7. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): the object is a country that recognizes the subject as its citizen, country
8. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): person or organization occupying property, used by
9. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): specialization of a person or organization; see P106 for the occupation, interested in
10. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as psv/pqn/prn/pr/wdtn/p/pqv/prv/pq/wdt/ps/psn): location where persons or organisations were actively participating in employment, business or other work, significant place, location

[Assistant]
The top result for "occupation" is `wd:P106`. This property can be used to find the occupation of a person. We need to find the entity for "actor" to filter the results.

### Step 5: Search for the entity representing "actor"
Let's search for the entity representing "actor".

[Tool]
Top 10 entity alternatives:
1. actor, also known as actress, actresses, movie actress, movie actresses, actors (wd:Q33999): person who acts in a dramatic or comic production and works in film, television, theatre, or radio
2. 12238 Actor, also known as Actor (wd:Q2213115): asteroid
3. Actor (wd:Q421957): actor in the Unified Modeling Language (UML) "specifies a role p... by a user or any other system that interacts with the subject."
4. Actor (wd:Q423424): king in Greek mythology, son of Phorbas
5. Actor (wd:Q2473937): Son of Deion, figure of Greek mythology
6. television actor, also known as actor, actress, television actress, TV actor, TV actress (wd:Q10798782): actor who performs on television
7. Actor, also known as Acton (wd:Q2823762): king in Greek mythology, son of Myrmidon
8. actor (wd:Q421946): person performing an action
9. Actor (wd:Q4677715): album by St. Vincent
10. Actor (wd:Q2823758): son of Azeus in Greek mythology

[Assistant]
The top result for "actor" is `wd:Q33999`, which represents a person who acts in a dramatic or comic production and works in film, television, theatre, or radio. This is the entity we need.

### Step 6: Build the SPARQL query
Now that we have all the necessary entities and properties, we can build the SPARQL query to find actors who were born in Germany.

Here is the SPARQL query:

```sparql
SELECT ?actor ?actorLabel
WHERE {
  ?actor wdt:P106 wd:Q33999 .  # ?actor has the occupation of actor
  ?actor wdt:P19 wd:Q183 .     # ?actor was born in Germany
  OPTIONAL { ?actor rdfs:label ?actorLabel . FILTER(LANG(?actorLabel) = "en") }
}
LIMIT 100
```

This query selects actors who have the occupation of actor (`wd:Q33999`) and were born in Germany (`wd:Q183`). It also optionally retrieves the English label of the actor.

Let's execute this query.

[Tool]
Got 100 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?actor                                   | ?actorLabel              |
| ---------------------------------------- | ------------------------ |
| Betty Astor (wd:Q102635)                 | Betty Astor              |
| Béatrice Jean-Philippe (wd:Q104699210)   | Béatrice Jean-Philippe   |
| Michael Bornhütter (wd:Q105062031)       | Michael Bornhütter       |
| Phong Giang (wd:Q105062089)              | Phong Giang              |
| Patrick Nattawat Finkler (wd:Q105654184) | Patrick Nattawat Finkler |
| ...                                      | ...                      |
| Carl Winterhoff (wd:Q5040978)            | Carl Winterhoff          |
| Anja Sommavilla (wd:Q551286)             | Anja Sommavilla          |
| Christoph Banken (wd:Q55439603)          | Christoph Banken         |
| Veit Bethke (wd:Q5574838)                | Veit Bethke              |
| Heidemarie Fuentes (wd:Q5698755)         | Heidemarie Fuentes       |

[Assistant]
The SPARQL query has successfully returned a list of actors who were born in Germany, along with their English labels. Here are some of the results:

| ?actor                                   | ?actorLabel              |
| ---------------------------------------- | ------------------------ |
| Betty Astor (wd:Q102635)                 | Betty Astor              |
| Béatrice Jean-Philippe (wd:Q104699210)   | Béatrice Jean-Philippe   |
| Michael Bornhütter (wd:Q105062031)       | Michael Bornhütter       |
| Phong Giang (wd:Q105062089)              | Phong Giang              |
| Patrick Nattawat Finkler (wd:Q105654184) | Patrick Nattawat Finkler |
| ...                                      | ...                      |
| Carl Winterhoff (wd:Q5040978)            | Carl Winterhoff          |
| Anja Sommavilla (wd:Q551286)             | Anja Sommavilla          |
| Christoph Banken (wd:Q55439603)          | Christoph Banken         |
| Veit Bethke (wd:Q5574838)                | Veit Bethke              |
| Heidemarie Fuentes (wd:Q5698755)         | Heidemarie Fuentes       |

These are the actors who were born in Germany.

I will now provide the final answer using the `answer` function.

[Tool] Stopped generation process