PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
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" )
  }
}

The creator of Goofy is 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?", I need to identify the entity "Goofy" in Wikidata and then find the property that relates to the creator or originator of this character.

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

[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 entity "Goofy" as a Disney cartoon character corresponds to wd:Q111135. Next, I will look for properties related to the creator or originator of this character. I will search for properties related to "creator" or "author" for the entity Goofy (wd:Q111135).

[Tool]
Top 10 property alternatives:
1. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as wdt/p): maker of this creative work or other object (where no more specific property exists)
2. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, start time
3. contributor to the creative work or subject, also known as assistant, collaborator, contributor, contributor(s) to the subject, creative contributor (wd:P767 as wdt/p): person or organization that contributed to a subject: co-creator of a creative work or subject, participant
4. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as wdt/p): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject
5. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as wdt/p): full name of a person at birth, if different from their current, generally used name, name
6. 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)
7. significant person, also known as significant people, sigper, sign. person, relevant person, relevant people (wd:P3342 as wdt/p): person linked to the item in any possible way
8. LibraryThing author ID, also known as Library Thing author ID, LT author ID (wd:P7400 as wdt/p): identifier for an author on the LibraryThing website
9. child, also known as has son, kids, mother of, kid, issue (wd:P40 as wdt/p): subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039), significant person, relative
10. from narrative universe, also known as from narrative, in continuity, from universe, in cycle, in world of (wd:P1080 as wdt/p): subject's fictional entity is in the object narrative. See also P1441 (present in work) and P1445 (fictional universe described in), part of

No other items found

[Assistant] The property "creator" (wdt:P170) is the most relevant property for finding who created the character Goofy. Now I will write a SPARQL query to find the creator(s) of Goofy (wd:Q111135) using the property "creator" (wdt:P170). I will also include the labels of the creators for better readability.

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the creator of Goofy using the property P170 (creator) and the entity Q111135 (Goofy). The result correctly identifies Art Babbitt as the creator. The query also optionally retrieves the English label for the creator, which is useful for readability. The answer provided is accurate and complete based on the query results. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?tvShow ?tvShowLabel WHERE {
  ?tvShow wdt:P31 wd:Q5398426 ; wdt:P170 wd:Q25014 .
  OPTIONAL {
    ?tvShow rdfs:label ?tvShowLabel FILTER ( LANG( ?tvShowLabel ) = "en" )
  }
}

The television shows created by John Cleese are "Fawlty Towers" and "At Last the 1948 Show."

[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] Step 1: Identify the entity "John Cleese" in Wikidata. I will search for the entity "John Cleese" to get his Wikidata identifier.

[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 entity "John Cleese" corresponds to wd:Q25014 in Wikidata.

Step 2: Identify the property for "creator" or "created by" related to television shows. I will search for properties related to "creator" or "created by" to find the appropriate property to use in the query.

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

[Assistant]
The property "creator" (wdt:P170) is the most appropriate to use for identifying the creator of a creative work such as a television show.

Step 3: Identify the entity for "television show" in Wikidata to filter the results to only television shows created by John Cleese. I will search for the entity "television show."

[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. 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
4. 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
5. 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
6. showrunner, also known as television show creator (wd:Q1440873): person who is responsible for the day-to-day operation of a television show
7. breakfast television, also known as breakfast show, morning show, morning talk show, morning television show (wd:Q1472288): type of morning television show
8. reality show, also known as reality television program, TV reality show, TV reality program, television reality show, television reality program (wd:Q3421644): television genre
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 program, also known as TV drama, television drama show, television drama program, television drama, teledrama (wd:Q110593089): television genre

[Assistant]
The entity "television series" (wd:Q5398426) is the most appropriate to represent television shows.

Step 4: Construct a SPARQL query to find television series created by John Cleese (wd:Q25014) using the property creator (wdt:P170) and the entity television series (wd:Q5398426). I will write and execute this query to check the results.

[Tool]
Got 2 rows and 2 columns:
| tvShow                             | tvShowLabel                |
| ---------------------------------- | -------------------------- |
| Fawlty Towers (wd:Q212731)         | Fawlty Towers (en)         |
| At Last the 1948 Show (wd:Q752945) | At Last the 1948 Show (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies television shows (instance of television series) created by John Cleese using the creator property. It returns the IRIs and English labels of the shows, which matches the user's question. The answer includes the two relevant shows found in the knowledge graph, "Fawlty Towers" and "At Last the 1948 Show." The query is well-formed, uses appropriate properties and classes, and the result is accurate and complete based on the data. No further refinement is necessary.


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

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 the question "When did the Ming dynasty dissolve?", I need to find the entity for the Ming dynasty and then find the property that indicates the date or year it dissolved or ended.

Step 1: Search for the entity "Ming dynasty" in Wikidata.

[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 entity for the Ming dynasty is wd:Q9903, which is described as an imperial dynasty of China from 1368 to 1644. Now, I need to find the property that indicates the date or year the dynasty dissolved or ended. I will search for properties related to "end" or "dissolve" for the entity Ming dynasty (wd:Q9903).

[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 wdt/p): point in time at which the subject (organisation, building) ceas...g equipment,  "discontinued date" (P2669) for stopping a product, end time
2. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, start time
3. follows, also known as prev, successor to, succeeds to, succeeds, split from (wd:P155 as wdt/p): immediately prior item in a series of which the subject is a par... preceding item, e.g. political offices, use "replaces" (P1365)]
4. replaced by, also known as heir, superseded by, successor, succeeded by, next job holder (wd:P1366 as wdt/p): other person or item which continues the item by replacing it in... nor identical, but adds to the series (e.g. books in a series)., followed by
5. replaces, also known as supersedes, succeeds, replaced, previous job holder, preceded by (wd:P1365 as wdt/p): person, state or item replaced. Use "structure replaces" (P1398)...item was not replaced or predecessor and successor are identical, follows
6. official name, also known as long title, name, official title, registered name, full title (wd:P1448 as wdt/p): official name of the subject in its official language(s), name
7. 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)
8. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as wdt/p): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
9. 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
10. contains the administrative territorial entity, also known as has shires, has rural cities, has regions, has municipalities, has members (wd:P150 as wdt/p): (list of) direct subdivisions of an administrative territorial entity, has part(s)

No other items found

[Assistant] The property "dissolved, abolished or demolished date" (wdt:P576) seems to be the appropriate property to indicate the date when the Ming dynasty ended or dissolved. I will now construct a SPARQL query to retrieve the dissolution date of the Ming dynasty (wd:Q9903) using this property.

[Tool]
Got 1 row and 1 column:
| dissolutionDate                     |
| ----------------------------------- |
| 1644-01-01T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the dissolution date of the Ming dynasty using the property P576 (dissolved, abolished or demolished date). The answer '1644' matches the known historical fact that the Ming dynasty ended in 1644. The query returns the date in a proper xsd:dateTime format. The output is correct and complete.


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

Got 1 row and 2 columns:
| highestPoint                  | highestPointLabel    |
| ----------------------------- | -------------------- |
| Mount Narodnaya (wd:Q1142817) | Mount Narodnaya (en) |

The highest place of the Ural Mountains 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 answer the question "What is the highest place of the Urals?", I need to identify the highest peak or mountain in the Ural mountain range.

Step 1: Identify the entity for the Ural Mountains in Wikidata.
Step 2: Find the highest peak or mountain associated with the Ural Mountains.
Step 3: Retrieve the name and possibly the height of that highest place.

I will start by searching for the entity "Ural Mountains" in Wikidata.

[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. Merry mountains (Ural) (wd:Q13369935)
4. History of human settlement in the Ural Mountains, also known as the Ural Mountains history, Ural Mountains history (wd:Q23136011): from the Arctic Ocean in the north to the Ural River and northwestern Kazakhstan
5. Ural Mountains in Nazi planning (wd:Q5170733): aspect of Nazi geopolitical planning
6. Skazy Uralskih Gor, also known as Tales of the Ural Mountains (wd:Q109391431): 1968 film directed by Olgerd Vorontsov
7. Planation and dissection of the Ural mountains (wd:Q60677378): scholarly article
8. mountain, also known as mt., mtn., mountains, mount (wd:Q8502): large natural elevation of the Earth's surface
9. mountain system, also known as hill range, mountain barrier, mountain belt, mountain range, mountains (wd:Q46831): geographic area containing several geologically related mountains, group of mountain ranges
10. Ural River, also known as Yaik, Jaik, Zhayyq, Ural (wd:Q80240): river in Russia and Kazakhstan

[Assistant] The Ural Mountains are identified as wd:Q35600 in Wikidata. Next, I will find the highest peak or mountain associated with the Ural Mountains. I will search for the highest mountain or peak in the Ural Mountains.

[Tool]
Top 10 property alternatives:
1. highest point, also known as tallest point, zenith, summit, pinnacle, highest peak (wd:P610 as wdt/p): point with highest elevation in a region or path, has part(s)
2. elevation above sea level, also known as MAMSL, MASL, height, elevation above mean sea level, elevation (wd:P2044 as wdt/p): height of the item (geographical object) as measured relative to sea level
3. Peakbagger area ID, also known as Peakbagger range ID (wd:P3635 as wdt/p): identifier for a mountain range or an area, on the peakbagger.com website
4. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt/p): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
5. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
6. winter view, also known as snowy picture, winter image, snowy image, snowscape, image in winter (wd:P5252 as wdt/p): image of the subject in winter, preferably with snow, image
7. 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)
8. length, also known as size, long, LOA, distance, dimension (wd:P2043 as wdt/p): measured dimension of an object
9. locator map image, also known as locator map, map image, map (wd:P242 as wdt/p): geographic map image which highlights the location of the subject within some larger entity, image

No other items found

[Assistant] The property "highest point" (wdt:P610) is used to indicate the point with the highest elevation in a region. I will use this property to find the highest point of the Ural Mountains (wd:Q35600).

[Tool]
Got 1 row and 2 columns:
| highestPoint                  | highestPointLabel    |
| ----------------------------- | -------------------- |
| Mount Narodnaya (wd:Q1142817) | Mount Narodnaya (en) |

[Assistant] The highest place of the Ural Mountains is Mount Narodnaya (wd:Q1142817). I will now provide this as the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly uses the property 'highest point' (wdt:P610) to find the highest place of the Ural Mountains (wd:Q35600). It returns the identifier and English label of Mount Narodnaya, which is indeed the highest point of the Urals. The query follows the rules by returning the actual identifier and an optional label. The answer is accurate and complete.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?country ?countryLabel WHERE {
  wd:Q78707 wdt:P131 ?adminEntity .
  ?adminEntity wdt:P17 ?country .
  ?country rdfs:label ?countryLabel .
  FILTER ( LANG( ?countryLabel ) = "en" )
}

Got 1 row and 2 columns:
| country          | countryLabel |
| ---------------- | ------------ |
| Russia (wd:Q159) | Russia (en)  |

The Yenisei river flows through the country Russia.

[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 "Through which countries does the Yenisei river flow?" I will first identify the entity for the Yenisei river in Wikidata. Then, I will find the property that links a river to the countries it flows through. Finally, I will construct a SPARQL query to retrieve the countries through which the Yenisei river flows.

[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 Yenisei river is represented by the entity wd:Q78707 in Wikidata. Next, I need to find the property that links a river to the countries it flows through. I will search for properties related to "country" or "flows through" for the Yenisei river entity.

[Tool]
Top 10 property alternatives:
1. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
2. continent (wd:P30 as wdt/p): continent of which the subject is a part, located in/on physical feature
3. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as wdt/p): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
4. 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)
5. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt/p): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
6. 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
7. 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
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. basin country, also known as basin countries (wd:P205 as wdt/p): country that have drainage to/from or border the body of water
10. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as wdt/p): label for the items in their official language  or their original language, name

No other items found

[Assistant] The property "basin country" (wdt:P205) seems to be the most relevant property that indicates the countries that have drainage to/from or border the body of water, which is suitable for the Yenisei river. I will now construct a SPARQL query to retrieve the countries through which the Yenisei river (wd:Q78707) flows using the property "basin country" (wdt:P205).

[Tool]
Got 2 rows and 2 columns:
| country            | countryLabel  |
| ------------------ | ------------- |
| Russia (wd:Q159)   | Russia (en)   |
| Mongolia (wd:Q711) | Mongolia (en) |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query uses the property wdt:P205 (basin country) to find countries related to the Yenisei river, which returns Russia and Mongolia. However, the Yenisei river primarily flows through Russia, and Mongolia is not typically considered a country through which the Yenisei river flows directly. The basin country property may include countries in the drainage basin but not necessarily countries the river flows through. To improve accuracy, the query should be refined to find countries through which the river's course directly passes, possibly by checking the river's path or administrative territorial entities it flows through. Thus, the answer and query should be refined to better reflect the actual countries the Yenisei river flows through.

[Assistant] Thank you for the feedback. I understand that the property "basin country" (wdt:P205) may include countries in the drainage basin but not necessarily countries through which the river directly flows. To improve accuracy, I will look for properties that indicate the administrative territorial entities or countries the river passes through directly. I will search for properties related to "located in" or "flows through" for the Yenisei river entity. Then I will check if these properties can help identify the countries the river flows through.

[Tool]
Top 10 property alternatives:
1. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as wdt/p): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
2. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt/p): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
3. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
4. 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
5. 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)
6. continent (wd:P30 as wdt/p): continent of which the subject is a part, located in/on physical feature
7. 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)

No other items found

[Assistant] The property "located in the administrative territorial entity" (wdt:P131) is available for the Yenisei river entity. This property might help identify the administrative regions or countries the river flows through. I will now construct a SPARQL query to retrieve the administrative territorial entities linked to the Yenisei river using the property wdt:P131. Then, I will check if these entities are countries or part of countries.

[Tool]
Got 3 rows and 2 columns:
| adminEntity                 | adminEntityLabel      |
| --------------------------- | --------------------- |
| Khakassia (wd:Q6543)        | Khakassia (en)        |
| Krasnoyarsk Krai (wd:Q6563) | Krasnoyarsk Krai (en) |
| Tuva (wd:Q960)              | Tuva (en)             |

[Assistant] The Yenisei river is located in the administrative territorial entities Khakassia, Krasnoyarsk Krai, and Tuva. These are regions within Russia. To confirm the countries these regions belong to, I will query the countries for these administrative entities.

[Tool]
Got 3 rows and 4 columns:
| region                      | regionLabel           | country          | countryLabel |
| --------------------------- | --------------------- | ---------------- | ------------ |
| Tuva (wd:Q960)              | Tuva (en)             | Russia (wd:Q159) | Russia (en)  |
| Khakassia (wd:Q6543)        | Khakassia (en)        | Russia (wd:Q159) | Russia (en)  |
| Krasnoyarsk Krai (wd:Q6563) | Krasnoyarsk Krai (en) | Russia (wd:Q159) | Russia (en)  |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly identifies Russia as a country through which the Yenisei river flows. However, the query uses the property 'wdt:P131' (located in the administrative territorial entity) directly on the river, which may not capture all countries the river flows through if the river passes through multiple administrative entities or countries. A more robust approach would be to check for all administrative entities the river passes through and then find their countries, or to use a property that directly relates the river to the countries it flows through if available. Additionally, the query currently returns the country label, which is fine, but it should ensure it captures all countries if there are more than one. Since the Yenisei river is primarily in Russia, the answer is likely correct, but the query could be refined for completeness and robustness.

[Assistant] Thank you for the feedback. To improve the robustness and completeness of the query, I will retrieve all administrative territorial entities the Yenisei river passes through (using property wdt:P131), then find the countries of these entities, and return the distinct countries. This approach ensures that if the river passes through multiple administrative entities in different countries, all such countries will be captured. I will now refine the SPARQL query accordingly.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?actor ?actorLabel WHERE {
  ?actor wdt:P31 wd:Q5 ; wdt:P106 wd:Q33999 ; 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 (en)              |
| Béatrice Jean-Philippe (wd:Q104699210)   | Béatrice Jean-Philippe (en)   |
| Michael Bornhütter (wd:Q105062031)       | Michael Bornhütter (en)       |
| Phong Giang (wd:Q105062089)              | Phong Giang (en)              |
| Patrick Nattawat Finkler (wd:Q105654184) | Patrick Nattawat Finkler (en) |
| ...                                      | ...                           |
| Lilian Ellis (wd:Q4946519)               | Lilian Ellis (en)             |
| Carl Winterhoff (wd:Q5040978)            | Carl Winterhoff (en)          |
| Anja Sommavilla (wd:Q551286)             | Anja Sommavilla (en)          |
| Christoph Banken (wd:Q55439603)          | Christoph Banken (en)         |
| Veit Bethke (wd:Q5574838)                | Veit Bethke (en)              |

There are many actors who were born in Germany. Here are some examples with their Wikidata IDs and English labels: Betty Astor (wd:Q102635), Béatrice Jean-Philippe (wd:Q104699210), Michael Bornhütter (wd:Q105062031), Phong Giang (wd:Q105062089), Patrick Nattawat Finkler (wd:Q105654184), Lilian Ellis (wd:Q4946519), Carl Winterhoff (wd:Q5040978), Anja Sommavilla (wd:Q551286), Christoph Banken (wd:Q55439603), and Veit Bethke (wd:Q5574838).

[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 following:
1. The entity representing Germany.
2. The property that indicates the place of birth.
3. The entity or class representing actors.

Step 1: Search for the entity representing Germany.

[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 entity representing the country Germany is wd:Q183.

Step 2: Identify the property for "place of birth" to find actors born in Germany.

[Tool]
Top 10 property alternatives:
1. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): 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 pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): 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 pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): 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 pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): 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 pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): 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 pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): 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 pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): 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 pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): 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 pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): 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 pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): what the place, monument, memorial, or holiday, commemorates, main subject

[Assistant]
The property for "place of birth" is wd:P19.

Step 3: Identify the entity or class representing actors. I will search for "actor" to find the relevant entity.

[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 entity representing an actor is wd:Q33999.

Now I will construct a SPARQL query to find actors (wd:Q33999) who have a place of birth (wdt:P19) in Germany (wd:Q183). I will also include their labels for better readability.

[Tool] Got no rows and 2 columns

[Assistant]
The query returned no results, which is unexpected since there should be actors born in Germany. The reason might be that actors are not always directly instances of "actor" (wd:Q33999) but might be instances of "human" (wd:Q5) with an occupation (wdt:P106) of actor (wd:Q33999).

I will modify the query to find humans with occupation actor and place of birth Germany.

[Tool]
Got 100 rows and 2 columns, showing the first 5 and last 5 rows below:
| actor                                    | actorLabel                    |
| ---------------------------------------- | ----------------------------- |
| Betty Astor (wd:Q102635)                 | Betty Astor (en)              |
| Béatrice Jean-Philippe (wd:Q104699210)   | Béatrice Jean-Philippe (en)   |
| Michael Bornhütter (wd:Q105062031)       | Michael Bornhütter (en)       |
| Phong Giang (wd:Q105062089)              | Phong Giang (en)              |
| Patrick Nattawat Finkler (wd:Q105654184) | Patrick Nattawat Finkler (en) |
| ...                                      | ...                           |
| Lilian Ellis (wd:Q4946519)               | Lilian Ellis (en)             |
| Carl Winterhoff (wd:Q5040978)            | Carl Winterhoff (en)          |
| Anja Sommavilla (wd:Q551286)             | Anja Sommavilla (en)          |
| Christoph Banken (wd:Q55439603)          | Christoph Banken (en)         |
| Veit Bethke (wd:Q5574838)                | Veit Bethke (en)              |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves actors (wd:Q33999) who are humans (wd:Q5) and were born in Germany (wd:Q183) by using the place of birth property (wdt:P19). The query also optionally retrieves English labels for readability. The query returns 100 results, which is a reasonable sample size for this question. The answer provides a clear and relevant list of actors with their Wikidata IDs and English labels, directly addressing the user's question. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?country ?countryLabel WHERE {
  ?country wdt:P31 wd:Q6256 ; wdt:P122 wd:Q117405807 .
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( LANG( ?countryLabel ) = "en" )
  }
}

Got 3 rows and 2 columns:
| country                              | countryLabel                    |
| ------------------------------------ | ------------------------------- |
| People's Republic of China (wd:Q148) | People's Republic of China (en) |
| North Korea (wd:Q423)                | North Korea (en)                |
| Laos (wd:Q819)                       | Laos (en)                       |

The countries classified with a communist form of government (communist dictatorship) are:
1. People's Republic of China
2. North Korea
3. Laos

[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] Give me all communist countries.

[Assistant]
To answer the question "Give me all communist countries," I need to identify the concept of "communist countries" in Wikidata. This likely involves countries that have a political system or ideology classified as communism.

Step 1: Search for the entity "communism" in Wikidata to find its identifier.
Step 2: Find the property that relates countries to their political ideology or system.
Step 3: Query all countries that have communism as their political ideology or system.

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

[Tool]
Top 10 entity alternatives:
1. communism (wd:Q6186): far-left political and socioeconomic ideology
2. Kommunizm, also known as Communism (wd:Q17617682): village in Alay District, Osh Province, Kyrgyzstan
3. Kommunizm, also known as Communism (wd:Q12825065): village in Kara-Suu District, Osh Province, Kyrgyzstan
4. Kommunizm, also known as Communism (wd:Q12825063): village in Nookat District, Osh Province, Kyrgyzstan
5. Kommunizm, also known as Communism (wd:Q4229872): Soviet-Russian rock band from Omsk, founded by Yegor Letov, Manager, Kuzya UO
6. Communism (wd:Q124424201): 1921 pamphlet by Eden Paul and Cedar Paul
7. Communism (wd:Q133011519): online exhibition from Monash University
8. Communism (wd:Q123304056): 1952 film by David A. Smart
9. communism (wd:L673648-S1)
10. communism (wd:L1008056-S1)

[Assistant]
The entity "communism" in Wikidata is identified as wd:Q6186, which is described as a far-left political and socioeconomic ideology.

Next, I need to find the property that relates countries to their political ideology or political system. Common properties to check might be "political ideology" or "form of government."

I will search for properties related to "political ideology" or "political system" to find the appropriate property to use in the query.

[Tool]
Top 10 property alternatives:
1. political ideology, also known as editorial viewpoint, has political ideology, ideology, official ideology, official political ideology (wd:P1142 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): political ideology of an organization or person or of a work (such as a newspaper)
2. political alignment, also known as political position, alignment (wd:P1387 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): political position within the left–right political spectrum
3. member of political party, also known as political party member, political party, party membership, party, member of party (wd:P102 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): the political party of which a person is or has been a member or otherwise affiliated, member of
4. political coalition, also known as electoral block, political bloc, political alliance, electoral list, electoral alliance (wd:P5832 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): agreement for cooperation between different political parties, member of
5. electoral symbol, also known as election symbol, political symbol (wd:P12650 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): symbol allocated to a political party or candidate for use on ballots
6. Political Dictionary ID, also known as Taegan Goddard's Political Dictionary ID, Taegan Goddard's Political Dictionary entry, Political Dictionary entry (wd:P12921 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): entry for a term in Taegan Goddard's Political Dictionary
7. diplomatic relation, also known as political relation, political relations, foreign relations, foreign relation, diplomatic relations (wd:P530 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): diplomatic relations of the country
8. basic form of government, also known as form of government, government, type of government (wd:P122 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): subject's government
9. parliamentary group, also known as faction, party organization, party (wd:P4100 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): parliamentary group to which a member of a parliament belongs, member of
10. religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): religion of a person, organization or religious building, or associated with this subject

[Assistant]
The property "political ideology" (wdt:P1142) seems to be the most appropriate to relate countries to their political ideology.

Next, I will query all countries that have communism (wd:Q6186) as their political ideology (wdt:P1142).

I will also ensure that the entities returned are countries by checking if they are instances of "country" (wd:Q6256).

[Tool] Got no rows and 2 columns

[Assistant]
The query returned no results, which suggests that no country is currently classified with the political ideology "communism" (wd:Q6186) directly in Wikidata.

I will try a different approach: Instead of political ideology, I will check the "form of government" property (wdt:P122) to see if any countries have a form of government related to communism.

I will first search for entities related to "communist state" or "communist country" to find a suitable entity that might be used as a form of government.

[Tool]
Top 10 entity alternatives:
1. communist state, also known as Marxist-Leninist state, communist country (wd:Q849866): state that is administered and governed by a single communist party
2. fictional communist state, also known as fictional communist country (wd:Q82519323): communist state which only exists in a work of fiction
3. Shan States Communist Party (wd:Q6581384): political party in Myanmar
4. Legislatures in communist states, also known as supreme organ of state power (wd:Q6518467)
5. Science in Communist States (wd:Q59086620): scientific article published in Nature
6. Communist states and post-war Africa (wd:Q128949234): scholarly article
7. Communist Party of the United States of America, also known as Communist Party of the U.S.A., Communist Party USA, CPUSA, Communist Party of the United States (wd:Q308714): American political party
8. United States Communist History Bibliography, 2007–2008 (wd:Q58508497): scholarly article by Peter Meyer Filardo∗ published December 2009 in American Communist History
9. United States Communist History Bibliography, 2009 (wd:Q58299102): scholarly article by Peter Meyer Filardo published August 2010 in American Communist History
10. United States Communist History Bibliography, 2010 (wd:Q58109202): scholarly article by Peter Meyer Filardo published April 2011 in American Communist History

[Assistant]
The entity "communist state" (wd:Q849866) is described as a state that is administered and governed by a single communist party.

I will now query all countries (instances of wd:Q6256) that have the form of government (wdt:P122) as "communist state" (wd:Q849866). This should give us the list of communist countries.

[Tool] Got no rows and 2 columns

[Assistant]
The query returned no results, indicating that no country is currently classified with the form of government "communist state" (wd:Q849866) in Wikidata.

I will try a broader approach by checking if any country has a political party that is a communist party. I will search for the property "member of political party" (wdt:P102) and check if the party is an instance of "communist party" (wd:Q7278).

First, I will verify the entity for "communist party" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. communist party (wd:Q233591): political party that promotes communist philosophy and values
2. Communist Party, also known as K, KFML(r), Kommunistiska Partiet, KP, KPML(r) (wd:Q965481): political party in Sweden
3. Communist Party of Britain, also known as British Communist Party, CPB, Communist Party (wd:Q1120576): British political party
4. Communist Party (wd:Q3739119): political party in Serbia
5. Communist Party (wd:Q5154557): Italian political party
6. Communist Party (wd:Q2883859): political party in Flanders, Belgium
7. Communist Party, also known as Red Flag Communist Party, Red flags, RFCP (wd:Q5154315): former political party in Burma (Myanmar)
8. Communist Party (wd:Q18150101): political party in Turkey
9. Communist Party, also known as KPD (wd:Q5154316): political party in the Free City of Danzig
10. Communist Party, also known as PCN (wd:Q1284593): defunct political party in Romania

[Assistant]
The entity "communist party" is identified as wd:Q233591 in Wikidata.

I will now query countries (wdt:P31 wd:Q6256) that have a political party (wdt:P102) which is an instance of "communist party" (wd:Q233591).

This query should return countries that have at least one communist political party.

[Tool] Got no rows and 2 columns

[Assistant]
The query returned no results, indicating that no country is currently classified as having a communist political party as a member.

Given the lack of direct classification in Wikidata for current communist countries by political ideology, form of government, or political party membership, I will try a different approach:

I will look for countries that have been historically or currently described as communist states or Marxist-Leninist states. I will search for countries that have the "country" instance and have a "country's political system" or "government type" related to communism or Marxist-Leninist state.

I will search for properties related to "government type" or "political system" to find a suitable property to use in the query.

[Tool]
Top 10 property alternatives:
1. basic form of government, also known as form of government, government, type of government (wd:P122 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): subject's government
2. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): seat of government of a country, province, state or other type of administrative territorial entity
3. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson
4. Classification of the Functions of Government, also known as COFOG ID, COFOG number (wd:P9798 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): UN classification to compare government agencies across countries
5. office held by head of government, also known as title of head of government, position of head of government, office of head of government, head of government's office, position held by head of government (wd:P1313 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): political office that is fulfilled by the head of the government of this item
6. authority, also known as executive authority, governed by, governing authority, governing body, has authority (wd:P797 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): entity having executive power on given entity
7. voting system, also known as electoral system, voting system, type of election (wd:P8196 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): system used for this election or vote
8. position held, also known as function, held position, holds position, job, office held (wd:P39 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): subject currently or formerly holds the object position or public office
9. political ideology, also known as editorial viewpoint, has political ideology, ideology, official ideology, official political ideology (wd:P1142 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): political ideology of an organization or person or of a work (such as a newspaper)
10. office held by head of state, also known as head of state, position held by head of state, state headed by (wd:P1906 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): political office that is fulfilled by the head of state of this item

[Assistant]
The property "basic form of government" (wdt:P122) is the most relevant for describing the government type of a country.

Since the previous query with "communist state" (wd:Q849866) as the form of government returned no results, I will try to find all subclasses of "communist state" (wd:Q849866) or related entities that might be used as a form of government for countries.

I will search for subclasses or related entities of "communist state" (wd:Q849866) to broaden the search.

[Tool] Got no rows and 2 columns

[Assistant]
There are no subclasses of "communist state" (wd:Q849866) in Wikidata.

Given the difficulty in directly querying current communist countries by political ideology or form of government, I will try a different approach:

I will search for countries that have the "country's political system" or "government type" property with values containing the keyword "communist" or "Marxist-Leninist" in their labels.

I will first search for properties related to "political system" or "government type" to find a suitable property to use in the query.

[Tool]
Top 10 property alternatives:
1. voting system, also known as electoral system, voting system, type of election (wd:P8196 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): system used for this election or vote
2. basic form of government, also known as form of government, government, type of government (wd:P122 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): subject's government
3. diplomatic relation, also known as political relation, political relations, foreign relations, foreign relation, diplomatic relations (wd:P530 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): diplomatic relations of the country
4. member of political party, also known as political party member, political party, party membership, party, member of party (wd:P102 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): the political party of which a person is or has been a member or otherwise affiliated, member of
5. position held, also known as function, held position, holds position, job, office held (wd:P39 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): subject currently or formerly holds the object position or public office
6. political alignment, also known as political position, alignment (wd:P1387 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): political position within the left–right political spectrum
7. political coalition, also known as electoral block, political bloc, political alliance, electoral list, electoral alliance (wd:P5832 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): agreement for cooperation between different political parties, member of
8. political ideology, also known as editorial viewpoint, has political ideology, ideology, official ideology, official political ideology (wd:P1142 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): political ideology of an organization or person or of a work (such as a newspaper)
9. authority, also known as executive authority, governed by, governing authority, governing body, has authority (wd:P797 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): entity having executive power on given entity
10. parliamentary group, also known as faction, party organization, party (wd:P4100 as pqv/pqn/p/psn/psv/pq/wdtn/wdt/prn/pr/prv/ps): parliamentary group to which a member of a parliament belongs, member of

[Assistant]
The property "basic form of government" (wdt:P122) is the most relevant for describing the government type of a country.

I will now query all countries (wdt:P31 wd:Q6256) and their form of government (wdt:P122) where the form of government label contains the keyword "communist" or "Marxist-Leninist" in English.

This should give us countries with a form of government related to communism or Marxist-Leninism.

[Tool]
Got 3 rows and 4 columns:
| country                              | countryLabel                    | formOfGovernment                       | formOfGovernmentLabel       |
| ------------------------------------ | ------------------------------- | -------------------------------------- | --------------------------- |
| People's Republic of China (wd:Q148) | People's Republic of China (en) | communist dictatorship (wd:Q117405807) | communist dictatorship (en) |
| North Korea (wd:Q423)                | North Korea (en)                | communist dictatorship (wd:Q117405807) | communist dictatorship (en) |
| Laos (wd:Q819)                       | Laos (en)                       | communist dictatorship (wd:Q117405807) | communist dictatorship (en) |

[Assistant]
I found three countries with the form of government labeled as "communist dictatorship," which is related to communism:

1. People's Republic of China (wd:Q148)
2. North Korea (wd:Q423)
3. Laos (wd:Q819)

These countries are currently classified with a communist form of government in Wikidata.

I will now provide the final answer with these countries.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies countries with a communist dictatorship form of government using the property 'form of government' (wdt:P122) and the value 'communist dictatorship' (wd:Q117405807). The query returns the expected three countries: People's Republic of China, North Korea, and Laos, which aligns with common knowledge. The query also includes English labels for readability. The answer is complete, accurate, and the query follows the rules for returning identifiers and labels. No further refinement is necessary.