PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?spouse ?spouseLabel WHERE {
  wd:Q567 wdt:P26 ?spouse .
  OPTIONAL {
    ?spouse rdfs:label ?spouseLabel FILTER ( LANG( ?spouseLabel ) = "en" )
  }
}

Got 2 rows and 2 columns:
| spouse                       | spouseLabel        |
| ---------------------------- | ------------------ |
| Ulrich Merkel (wd:Q13415350) | Ulrich Merkel (en) |
| Joachim Sauer (wd:Q62085)    | Joachim Sauer (en) |

Yes, the first female chancellor in Germany, Angela Merkel, was married. She was married to Ulrich Merkel and later to Joachim Sauer.

Was the first female chancellor in Germany ever married?

[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 with notes:
1. When direct properties are missing, chain related properties (e.g., child→child for grandchildren) or search for indirect connections to answer complex relationship queries.
2. For set/class queries (e.g., all cities, all holidays), use instance/subclass chains (P31/P279) for completeness and relevant filters. Be aware of data incompleteness and schema inconsistencies in Wikidata.
3. If queries return too many irrelevant or too few results, try varying properties (country, location, observed in, etc.) and subclass chains, but be ready to report data/model limitations if results remain incomplete or noisy.
4. When a direct property or class is missing or inconsistently used, try related or broader properties/classes (e.g., use inception for independence date, or musical work/composition for musicals) to increase recall.
5. For calculated properties (e.g., population density), combine relevant direct properties (e.g., population, area) in SPARQL queries, as Wikidata may not store the derived value directly.
6. When entity search returns multiple candidates, use context (description, instance type, location, etc.) to disambiguate and select the most relevant entity for the query.

No general notes for all knowledge graphs available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
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 just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. 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.
5. 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.
6. 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.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. 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] Was the first female chancellor in Germany ever married?

[Assistant]
Step 1: Identify the first female chancellor in Germany. The first female chancellor of Germany is Angela Merkel.

Step 2: Determine the property related to marital status or spouse for Angela Merkel.

I will first search for the entity Angela Merkel in Wikidata to confirm her identifier.

[Tool]
Top 10 entity alternatives:
1. Angela Merkel, also known as Angela Dorothea Merkel, leader of the free world, Angela Kasner (wd:Q567): chancellor of Germany from 2005 to 2021, instance of human, politician, physicist
2. Angela Merkel (wd:Q94746073): instance of human
3. Angela Merkel (wd:Q41495976): instance of version, edition or translation, Polish Biography of Angela Merkel
4. Angela Merkel (wd:Q41495489): instance of version, edition or translation, German biography of Angela Merkel
5. Angela Merkel (wd:Q125701744): instance of written work
6. family of Angela Merkel (wd:Q27973987): family of Angela Merkel, the Chancellor of Germany, instance of family
7. Lentapedia / Angela Merkel (wd:Q17316816): instance of encyclopedia article, encyclopedia article
8. Angela Merkel and Vladimir Putin (wd:Q127786484)
9. public image of Angela Merkel (wd:Q106041150)
10. Angela Merkel - The Unexpected (wd:Q28464539): 2016 documentary film by Torsten Körner and Matthias Schmidt, instance of film

[Assistant] The entity for Angela Merkel is wd:Q567. Next, I will check the property related to marital status or spouse for Angela Merkel (wd:Q567). Common properties to check are "spouse" (wdt:P26) or "marital status" (wdt:P26 or wdt:P580 or others). I will check the spouse property first.

[Tool]
Got 2 rows and 3 columns:
| subject                 | property         | object                       |
| ----------------------- | ---------------- | ---------------------------- |
| Angela Merkel (wd:Q567) | spouse (wdt:P26) | Ulrich Merkel (wd:Q13415350) |
| Angela Merkel (wd:Q567) | spouse (wdt:P26) | Joachim Sauer (wd:Q62085)    |

[Assistant] Angela Merkel was married to Ulrich Merkel and later to Joachim Sauer. So yes, the first female chancellor in Germany was married. I will now provide the final answer with the SPARQL query.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?mainSubject ?mainSubjectLabel WHERE {
  wd:Q11419997 wdt:P921 ?mainSubject .
  OPTIONAL {
    ?mainSubject rdfs:label ?mainSubjectLabel FILTER ( LANG( ?mainSubjectLabel ) = "en" )
  }
}

The main subject of the manga "Your Lie in April" is a middle school student.

what is the main subject of the manga "your lie in april": primary school, middle school or high school student?

[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 with notes:
1. When direct properties are missing, chain related properties (e.g., child→child for grandchildren) or search for indirect connections to answer complex relationship queries.
2. For set/class queries (e.g., all cities, all holidays), use instance/subclass chains (P31/P279) for completeness and relevant filters. Be aware of data incompleteness and schema inconsistencies in Wikidata.
3. If queries return too many irrelevant or too few results, try varying properties (country, location, observed in, etc.) and subclass chains, but be ready to report data/model limitations if results remain incomplete or noisy.
4. When a direct property or class is missing or inconsistently used, try related or broader properties/classes (e.g., use inception for independence date, or musical work/composition for musicals) to increase recall.
5. For calculated properties (e.g., population density), combine relevant direct properties (e.g., population, area) in SPARQL queries, as Wikidata may not store the derived value directly.
6. When entity search returns multiple candidates, use context (description, instance type, location, etc.) to disambiguate and select the most relevant entity for the query.

No general notes for all knowledge graphs available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
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 just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. 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.
5. 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.
6. 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.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] what is the main subject of the manga "your lie in april": primary school, middle school or high school student?

[Assistant] To answer the question about the main subject of the manga "Your Lie in April" and whether it is about primary school, middle school, or high school students, I will first search for the entity "Your Lie in April" in Wikidata. Then, I will look for properties related to the main characters' school level or the main subject's educational stage.

[Tool]
Top 10 entity alternatives:
1. Your Lie in April, also known as Kimiuso, Shigatsu wa Kimi no Uso (wd:Q11419997): instance of manga series, Japanese manga series
2. Your Lie in April (wd:Q26810037): 2016 film by Takehiko Shinjō, instance of film
3. Your Lie in April, also known as Kimiuso, Shigatsu wa Kimi no Uso (wd:Q91333870): instance of anime television series, Japanese anime television series
4. Your Lie in April (wd:Q123944284): instance of dramatico-musical work, your Lie in April stage musical
5. Your Lie in April: A Six Person Etude, also known as Shigatsu wa Kimi no Uso: 6-nin no Études (wd:Q91334211): instance of literary work, Japanese light novel
6. Lies in Your Eyes (wd:Q6544290): instance of extended play, extended play by Dive
7. Your Lies in Check (wd:Q4023078): album by Cripple Bastards, instance of album
8. Lier in Your Eyes (wd:Q29424453): instance of musical work/composition, X-Ray song
9. The Lies in Your Eyes (wd:Q5409466): instance of single, single
10. [It lies in your hand!] (wd:Q87357297): scientific article published on 01 February 2014, instance of scholarly article, instance of editorial

[Assistant] The manga "Your Lie in April" corresponds to the entity wd:Q11419997 in Wikidata. Next, I will check the main subject or the educational stage of the main characters in this manga. I will look for properties related to the main subject or characters' school level for this entity.

[Tool]
Got 263 rows and 3 columns, showing the first 10 rows below:
| subject                          | property                            | object                                       |
| -------------------------------- | ----------------------------------- | -------------------------------------------- |
| Your Lie in April (wd:Q11419997) | instance of (wdt:P31)               | manga series (wd:Q21198342)                  |
| Your Lie in April (wd:Q11419997) | title (wdt:P1476)                   | 四月は君の嘘 (ja)                                  |
| Your Lie in April (wd:Q11419997) | published in (wdt:P1433)            | Monthly Shōnen Magazine (wd:Q909935)         |
| Your Lie in April (wd:Q11419997) | author (wdt:P50)                    | Naoshi Arakawa (wd:Q11502103)                |
| Your Lie in April (wd:Q11419997) | main subject (wdt:P921)             | middle school student (wd:Q16003532)         |
| Your Lie in April (wd:Q11419997) | language of work or name (wdt:P407) | Japanese (wd:Q5287)                          |
| Your Lie in April (wd:Q11419997) | Commons category (wdt:P373)         | Your Lie in April                            |
| Your Lie in April (wd:Q11419997) | country of origin (wdt:P495)        | Japan (wd:Q17)                               |
| Your Lie in April (wd:Q11419997) | official website (wdt:P856)         | <http://www.kimiuso.jp/>                     |
| Your Lie in April (wd:Q11419997) | genre (wdt:P136)                    | slice of life anime and manga (wd:Q15428604) |
| ...                              | ...                                 | ...                                          |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( DISTINCT ?country ) AS ?countCountries ) WHERE {
  ?store wdt:P31 wd:Q1653971 .
  ?store wdt:P276 ?location .
  ?location wdt:P131 * ?adminEntity .
  ?adminEntity wdt:P17 ?country .
}

Got 1 row and 1 column:
| countCountries |
| -------------- |
| 0 (xsd:int)    |

The data in Wikidata does not provide direct or indirect properties linking IKEA to the countries where it has been established or operates. Attempts to find countries through IKEA stores' locations, subsidiaries, or operating areas returned no results. The best available approach is to count distinct countries of locations of IKEA stores, but this query returned 0 results, indicating incomplete or missing data in Wikidata for this information.

In how many countries has IKEA been established?

[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 with notes:
1. When direct properties are missing, chain related properties (e.g., child→child for grandchildren) or search for indirect connections to answer complex relationship queries.
2. For set/class queries (e.g., all cities, all holidays), use instance/subclass chains (P31/P279) for completeness and relevant filters. Be aware of data incompleteness and schema inconsistencies in Wikidata.
3. If queries return too many irrelevant or too few results, try varying properties (country, location, observed in, etc.) and subclass chains, but be ready to report data/model limitations if results remain incomplete or noisy.
4. When a direct property or class is missing or inconsistently used, try related or broader properties/classes (e.g., use inception for independence date, or musical work/composition for musicals) to increase recall.
5. For calculated properties (e.g., population density), combine relevant direct properties (e.g., population, area) in SPARQL queries, as Wikidata may not store the derived value directly.
6. When entity search returns multiple candidates, use context (description, instance type, location, etc.) to disambiguate and select the most relevant entity for the query.

No general notes for all knowledge graphs available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
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 just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. 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.
5. 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.
6. 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.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. 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] In how many countries has IKEA been established?

[Assistant]
To answer the question "In how many countries has IKEA been established?" we need to find the number of distinct countries where IKEA has a presence or establishment.

Step 1: Identify the entity for IKEA in Wikidata.
Step 2: Identify the property that indicates the countries where IKEA is established or operates.
Step 3: Count the distinct countries related to IKEA through that property.

I will start by searching for the entity IKEA in Wikidata.

[Tool]
Top 10 entity alternatives:
1. IKEA, also known as Ikea, Ingvar Kamprad Elmtaryd Agunnaryd (wd:Q54078): international furniture store chain, instance of furniture store chain, instance of brand
2. Ikea (wd:Q18587732): instance of taxon, genus of insects
3. Ikea effect (wd:Q1653973): cognitive bias in which consumers place a disproportionately high value on products they partially created, instance of cognitive bias
4. Swedish meatballs, also known as IKEA meatballs, Köttbullar (wd:Q1501015)
5. Blåhaj, also known as Smolhaj, Klappar Haj, IKEA shark, BLÅHAJ, funny meme shark (wd:Q107133815)
6. IKEA Catalogue (wd:Q2941621): catalogue published annually by the Swedish home furnishing retailer IKEA, instance of product catalog
7. IKEA pencil (wd:Q18350690)
8. IKEA Museum (wd:Q25063953): instance of furniture museum, museum in Älmhult, Sweden
9. IKEA Heights (wd:Q15995166): instance of web series, Comedy web series
10. IKEA Altona (wd:Q1653971): instance of IKEA store

[Assistant] The entity for IKEA as an international furniture store chain is wd:Q54078. Next, I will search for properties related to the countries where IKEA is established or operates. I will look for properties of IKEA (wd:Q54078) that might indicate countries of operation or establishment.

[Tool]
Top 10 property alternatives:
1. location of formation, also known as originates from, place of incorporation, place of establishment, place of formation, place of foundation (wd:P740 as wdt/p): location where a group or organization was formed, subproperty of location of creation
2. image, also known as img, infobox image, photo, photograph, picture (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)
3. product or material produced, also known as products, product or service provided, product, material, or service produced or provided, product, produces (wd:P1056 as wdt/p): material or product produced by an organization, industry, facility, or process, subproperty of immediate cause of
4. typically sells, also known as product, sells, sold products, usually sells (wd:P7163 as wdt/p): type of goods particular type of shops typically sell
5. used by, also known as armiger, of, played by, user (wd:P1535 as wdt/p): item or concept that makes use of the subject (use sub-properties when appropriate)
6. topic's main category, also known as category for this topic, Wikipedia category, Wikimedia category, Wiki category, subject category (wd:P910 as wdt/p): main Wikimedia category
7. instance of, also known as example of, has type, is a, is an, is of type (wd:P31 as wdt/p): type to which this subject corresponds/belongs. Different from P...tains, and the volcano is a type (instance) of volcanic landform
8. industry, also known as field of action, sector, field of exercise, economic branch, branch (wd:P452 as wdt/p): specific industry of company or organization, subproperty of part of
9. inception, also known as inception date, founding date, founded in, founded on date, founded on (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, subproperty of start time
10. native label, also known as official name, original title, official title, original label, original language label (wd:P1705 as wdt/p): label for the items in their official language  or their original language, subproperty of name

No other items found

[Assistant] The property search for "country" related to IKEA (wd:Q54078) did not directly reveal a property indicating countries where IKEA is established or operates. I will try a different approach by searching for properties related to "operating country" or "country of operation" for IKEA.

[Tool]
Top 10 property alternatives:
1. industry, also known as field of action, sector, field of exercise, economic branch, branch (wd:P452 as wdt/p): specific industry of company or organization, subproperty of part of
2. product or material produced, also known as products, product or service provided, product, material, or service produced or provided, product, produces (wd:P1056 as wdt/p): material or product produced by an organization, industry, facility, or process, subproperty of immediate cause of
3. native label, also known as official name, original title, official title, original label, original language label (wd:P1705 as wdt/p): label for the items in their official language  or their original language, subproperty of name
4. location of formation, also known as originates from, place of incorporation, place of establishment, place of formation, place of foundation (wd:P740 as wdt/p): location where a group or organization was formed, subproperty of location of creation
5. inception, also known as inception date, founding date, founded in, founded on date, founded on (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, subproperty of start time
6. VIAF cluster ID, also known as VIAF, Virtual International Authority File, viaf.org ID, VIAF identifier, VIAF ID (wd:P214 as wdt/p/wdtn): identifier for the Virtual International Authority File database...lease note: VIAF is a cluster, the ID can include multiple items
7. Library of Congress authority ID, also known as LCSH Authority File ID, Library of Congress Control Number (Subject Authority), LCSH ID, LCSH LCCN, LC Subject Heading ID (wd:P244 as wdt/p/wdtn): Library of Congress name authority (persons, families, corporate...lowed by 8-10 digits (see regex). For manifestations, use P1144]
8. Great Russian Encyclopedia portal ID, also known as bigenc.ru, GRE portal ID (wd:P11514 as wdt/p): identifier of an entry on the web portal based on the Great Russian Encyclopedia (for the older version of encyclopedia use P2924)
9. typically sells, also known as product, sells, sold products, usually sells (wd:P7163 as wdt/p): type of goods particular type of shops typically sell
10. Comparably company ID, also known as Comparably company identifier (wd:P10206 as wdt/p): identifier for a company on the Comparably website

No other items found

[Assistant] There is no direct property for "operating country" or "country of operation" for IKEA in the properties of the entity. I will try a more general approach by searching for properties related to "country" in Wikidata that might be used for companies or organizations to indicate countries of operation or establishment.

[Tool]
Top 10 property alternatives:
1. valid in place, also known as country, valid in territory, valid in location, true in, applies to place (wd:P3005 as psn/wdt/ps/prn/pr/wdtn/pq/pqv/p/prv/psv/pqn): place where a statement is valid, subproperty of applies to part
2. country of origin, also known as comes from, place of origin, origin country, originates from, country (wd:P495 as psn/wdt/ps/prn/pr/wdtn/pq/pqv/p/prv/psv/pqn): country of origin of this item (creative work, food, phrase, product, etc.), subproperty of significant place, subproperty of country
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as psn/wdt/ps/prn/pr/wdtn/pq/pqv/p/prv/psv/pqn): the object is a country that recognizes the subject as its citizen, subproperty of country
4. country, also known as state, sovereign state, land, host country (wd:P17 as psn/wdt/ps/prn/pr/wdtn/pq/pqv/p/prv/psv/pqn): sovereign state that this item is in (not to be used for human beings), subproperty of located in the administrative territorial entity
5. applies to jurisdiction, also known as country of jurisdiction, of, jurisdiction linked, jurisdiction, belongs to jurisdiction (wd:P1001 as psn/wdt/ps/prn/pr/wdtn/pq/pqv/p/prv/psv/pqn): the item (institution, law, public office, public register...) o...a territorial jurisdiction: a country, state, municipality, ...), subproperty of characteristic of, subproperty of significant place, subproperty of operating area
6. place of publication, also known as country (published in), where published, release region, released in, published in (place) (wd:P291 as psn/wdt/ps/prn/pr/wdtn/pq/pqv/p/prv/psv/pqn): geographical place of publication of the edition (use 1st edition when referring to works), subproperty of significant place
7. operating area, also known as operating region, serves geographic region, serves geographic area, serves area, region served (wd:P2541 as psn/wdt/ps/prn/pr/wdtn/pq/pqv/p/prv/psv/pqn): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, subproperty of location
8. place of birth, also known as location born, POB, location of birth, born in, born at (wd:P19 as psn/wdt/ps/prn/pr/wdtn/pq/pqv/p/prv/psv/pqn): most specific known birth location of a person, animal or fictional character, subproperty of location
9. continent (wd:P30 as psn/wdt/ps/prn/pr/wdtn/pq/pqv/p/prv/psv/pqn): subproperty of located in/on physical feature, continent of which the subject is a part
10. located in the administrative territorial entity, also known as is in the shire of, is in the voivodeship of, is in the state of, is in the territory of, is in the town of (wd:P131 as psn/wdt/ps/prn/pr/wdtn/pq/pqv/p/prv/psv/pqn): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., subproperty of location, subproperty of part of

[Assistant]
From the search for properties related to "country," the most relevant properties for indicating countries where IKEA operates could be:

- wd:P2541 (operating area): geographic area or jurisdiction an organization operates in.
- wd:P17 (country): sovereign state that this item is in.
- wd:P495 (country of origin): country of origin of this item.

The property "operating area" (wd:P2541) seems most appropriate to indicate countries where IKEA operates. I will check if IKEA (wd:Q54078) has values for this property.

[Tool] Got no rows and 2 columns

[Assistant] IKEA does not have direct values for the property "operating area" (wdt:P2541). I will try the property "country" (wdt:P17) to see if IKEA is linked to any countries directly.

[Tool] Got no rows and 2 columns

[Assistant] IKEA does not have direct values for the property "country" (wdt:P17) either. I will try the property "country of origin" (wdt:P495) to see if IKEA has a country of origin specified. This might not answer the question fully but could provide some insight.

[Tool] Got no rows and 2 columns

[Assistant]
IKEA does not have a direct value for "country of origin" (wdt:P495) either. Since direct properties for countries where IKEA is established or operates are not available, I will try to find the countries where IKEA stores (instances of IKEA store) are located. This can give us the number of countries where IKEA has been established.

Step:
- Find instances of IKEA stores.
- Get the countries where these stores are located.
- Count distinct countries.

I will start by searching for the property that indicates the location of an IKEA store.

[Tool]
Top 10 property alternatives:
1. work location, also known as worked from, work place, working from, working at, worked at (wd:P937 as psn/wdt/ps/prn/pr/wdtn/pq/pqv/p/prv/psv/pqn): location where persons or organisations were actively participating in employment, business or other work, subproperty of significant place, subproperty of location
2. location, also known as neighborhood, locale, neighbourhood, place, place held (wd:P276 as psn/wdt/ps/prn/pr/wdtn/pq/pqv/p/prv/psv/pqn): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
3. coordinate location, also known as gps co-ordinates, wgs 84, gps coordinates, gps location, latitude (wd:P625 as psn/wdt/ps/prn/pr/wdtn/pq/pqv/p/prv/psv/pqn): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
4. occupant, also known as location of, tenant, resident, renter, occupiers (wd:P466 as psn/wdt/ps/prn/pr/wdtn/pq/pqv/p/prv/psv/pqn): person or organization occupying property, subproperty of used by
5. applies to jurisdiction, also known as country of jurisdiction, of, jurisdiction linked, jurisdiction, belongs to jurisdiction (wd:P1001 as psn/wdt/ps/prn/pr/wdtn/pq/pqv/p/prv/psv/pqn): the item (institution, law, public office, public register...) o...a territorial jurisdiction: a country, state, municipality, ...), subproperty of characteristic of, subproperty of significant place, subproperty of operating area
6. recorded at studio or venue, also known as recording venue, venue, studio, recording studio, recorded at event (wd:P483 as psn/wdt/ps/prn/pr/wdtn/pq/pqv/p/prv/psv/pqn): studio or location where a musical composition/release was recorded, subproperty of recording location
7. home venue, also known as venue, stadium, home water, home ground, home field (wd:P115 as psn/wdt/ps/prn/pr/wdtn/pq/pqv/p/prv/psv/pqn): home stadium or venue of a sports team or applicable performing arts organization, subproperty of location
8. published in, also known as tome of, tome of the book, track of, track on, track on album (wd:P1433 as psn/wdt/ps/prn/pr/wdtn/pq/pqv/p/prv/psv/pqn): larger work that a given work was published in, like a journal, a website, a collection, a book or a music album, subproperty of part of
9. located in the present-day administrative territorial entity, also known as present-day administrative territorial entity, located in the current administrative territorial entity, located in the modern-day administrative territorial entity, located in the present-day administrative territorial entity, located in present day administrative territorial entity (wd:P3842 as psn/wdt/ps/prn/pr/wdtn/pq/pqv/p/prv/psv/pqn): the item was located in the territory of this present-day administrative unit; however the two did not at any point coexist in time, subproperty of location, subproperty of part of
10. directions, also known as locality or place (wd:P2795 as psn/wdt/ps/prn/pr/wdtn/pq/pqv/p/prv/psv/pqn): describe how to find the subject - directions, objects along way, comments

[Assistant] The property "location" (wdt:P276) seems to be the most appropriate to indicate the location of an IKEA store. I will now query for instances of IKEA stores and their locations to find the countries where IKEA stores are located. Then I will count the distinct countries.

[Tool]
Got 1 row and 1 column:
| countCountries |
| -------------- |
| 0 (xsd:int)    |

[Assistant]
The query returned 0 countries, which means there might be an issue with the property chain or the data for IKEA stores' locations and their countries is not directly linked as expected.

I will try a different approach: I will query for IKEA stores and their locations, then get the country using a broader property "located in the administrative territorial entity" (wdt:P131) which might be linked to the location and then get the country from there.

[Tool]
Got 1 row and 1 column:
| countCountries |
| -------------- |
| 0 (xsd:int)    |

[Assistant]
The query still returned 0 countries. It seems the data model for IKEA stores and their locations or countries is not as straightforward or not available in the expected properties.

I will try to find the countries where IKEA has stores by looking for entities that are instances of IKEA stores and directly have a country property (wdt:P17). This might catch some stores directly linked to countries.

[Tool]
Got 1 row and 1 column:
| countCountries |
| -------------- |
| 0 (xsd:int)    |

[Assistant]
No IKEA stores have a direct country property either. Given the lack of direct data on countries where IKEA is established or operates, and the failure to find countries through IKEA stores' locations, it seems the data in Wikidata is incomplete or not modeled in a way that allows a straightforward count of countries where IKEA is established.

I will now try a more general approach: I will search for countries that have an IKEA store or an entity related to IKEA (e.g., with label containing "IKEA") located in them. This might give an approximate count of countries with IKEA presence.

[Tool]
Got 1 row and 1 column:
| countCountries |
| -------------- |
| 0 (xsd:int)    |

[Assistant]
The query still returned 0 countries. It appears that the data about IKEA stores and their locations or countries is not well represented or linked in Wikidata.

Given these challenges, I will now try to find the countries where IKEA has a subsidiary or branch, as companies often have subsidiaries in countries they operate in. I will check if IKEA has subsidiaries and the countries of those subsidiaries.

[Tool]
Got 1 row and 1 column:
| countCountries |
| -------------- |
| 0 (xsd:int)    |

[Assistant]
IKEA does not have subsidiaries with specified countries either. The data in Wikidata does not seem to provide a direct or indirect way to count the number of countries where IKEA has been established.

I will now provide an explanation and my best attempt at a SPARQL query that tries to count countries based on IKEA stores' locations, even though it returned 0 results, as the best available approach.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?placeOfDeath ?placeOfDeathLabel WHERE {
  wd:Q1048 wdt:P20 ?placeOfDeath .
  OPTIONAL {
    ?placeOfDeath rdfs:label ?placeOfDeathLabel FILTER ( LANG( ?placeOfDeathLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| placeOfDeath                   | placeOfDeathLabel      |
| ------------------------------ | ---------------------- |
| Theatre of Pompey (wd:Q944814) | Theatre of Pompey (en) |

Julius Caesar was murdered at the Theatre of Pompey.

[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 with notes:
1. When direct properties are missing, chain related properties (e.g., child→child for grandchildren) or search for indirect connections to answer complex relationship queries.
2. For set/class queries (e.g., all cities, all holidays), use instance/subclass chains (P31/P279) for completeness and relevant filters. Be aware of data incompleteness and schema inconsistencies in Wikidata.
3. If queries return too many irrelevant or too few results, try varying properties (country, location, observed in, etc.) and subclass chains, but be ready to report data/model limitations if results remain incomplete or noisy.
4. When a direct property or class is missing or inconsistently used, try related or broader properties/classes (e.g., use inception for independence date, or musical work/composition for musicals) to increase recall.
5. For calculated properties (e.g., population density), combine relevant direct properties (e.g., population, area) in SPARQL queries, as Wikidata may not store the derived value directly.
6. When entity search returns multiple candidates, use context (description, instance type, location, etc.) to disambiguate and select the most relevant entity for the query.

No general notes for all knowledge graphs available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
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 just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. 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.
5. 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.
6. 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.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Where was Caesar murdered?

[Assistant]
To answer the question "Where was Caesar murdered?" we need to identify the entity "Caesar" (most likely Julius Caesar) and find the property related to the place of his death or murder.

Step 1: Search for the entity "Caesar" to confirm the correct entity for Julius Caesar.

[Tool]
Top 10 entity alternatives:
1. Julius Caesar, also known as Divine Julius (wd:Q1048): Roman general and dictator (100 – 44 BC), ancient Roman military personnel, Ancient Roman politician, Ancient Roman historian, Ancient Roman priest, instance of human, military leader, politician, historian, memoirist, writer, orator, ruler, poet
2. Julius Caesar, also known as The Tragedy of Julius Caesar, Tragedy of Julius Caesar (wd:Q215750): play by William Shakespeare, instance of dramatic work
3. Julius Caesar (wd:Q734950): 1953 film by Joseph L. Mankiewicz, instance of film
4. Julius Caesar (wd:Q631476): instance of impact crater, lunar impact crater
5. Julius Caesar, also known as Cajus Julius Caesar (wd:Q3649980): 1914 film directed by Enrico Guazzoni, instance of film
6. Julius Caesar (wd:Q315616): 2002 TV miniseries directed by Uli Edel, instance of television film
7. Julius Caesar (wd:Q1612412): 1970 film by Stuart Burge, instance of film
8. Julius Caesar (wd:Q3534298): English cricketer (1830-1878), instance of human, cricketer
9. Julius Caesar, also known as Sir Julius Cæser, Sir Julius Caesar, Cesare Adelmare, Julius Caesar Aldemare (wd:Q1712531): instance of human, English judge, politician, jurist, judge
10. Julius Caesar, also known as Giulio Cesare (wd:Q3769550): 1909 film by Giovanni Pastrone, instance of short film

[Assistant]
The most relevant entity for "Caesar" in the context of being murdered is Julius Caesar (wd:Q1048), the Roman general and dictator.

Step 2: Find the property related to the place of death or murder for Julius Caesar (wd:Q1048). I will look for properties related to "place of death" or "murder location" for this entity.

[Tool]
Top 10 property alternatives:
1. place of death, also known as POD, location of death, killed in, died in, died (wd:P20 as wdt/p): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, subproperty of location
2. place of burial, also known as interment location, interment, interment place, interred at, location of burial (wd:P119 as wdt/p): location of grave, resting place, place of ash-scattering, etc. ...veral places: e.g., re-burials, parts of body buried separately., subproperty of location
3. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as wdt/p): subproperty of dissolved, abolished or demolished date, date on which the subject died, subproperty of end time
4. manner of death, also known as circumstance of death, death manner, death type, nature of death, type of death (wd:P1196 as wdt/p): general circumstances of a person's death; e.g. natural causes, ...ysiological mechanism, e.g. heart attack, trauma, pneumonia etc.
5. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as wdt/p): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
6. described by source, also known as mentioned in, mentioned in news article, reviewed in, source of item, subject in (wd:P1343 as wdt/p): work where this item is described, subproperty of attested in
7. place of birth, also known as location born, POB, location of birth, born in, born at (wd:P19 as wdt/p): most specific known birth location of a person, animal or fictional character, subproperty of location
8. posthumous name, also known as Honor Death (wd:P1786 as wdt/p): name given to a person after death (East Asia)
9. Find a Grave memorial ID, also known as Find A Grave memorial ID, memorial IDーFind A Grave, GRid, Find A Grave person ID, Findagrave ID (wd:P535 as wdt/p): identifier of an individual's burial place in the Find a Grave database
10. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as wdt/p): the place where the person is or has been, resident, subproperty of location

No other items found

[Assistant]
The property "place of death" (wdt:P20) is the most relevant to find where Julius Caesar was murdered.

Step 3: Query the place of death for Julius Caesar (wd:Q1048).

[Tool]
Got 1 row and 2 columns:
| placeOfDeath                   | placeOfDeathLabel      |
| ------------------------------ | ---------------------- |
| Theatre of Pompey (wd:Q944814) | Theatre of Pompey (en) |

[Assistant] Julius Caesar was murdered at the Theatre of Pompey. I will now provide the final answer.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?startDate WHERE {
  wd:Q23001951 wdt:P580 ?startDate .
}

The TV show Riverdale was first aired in the year 2017.

[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 with notes:
1. When direct properties are missing, chain related properties (e.g., child→child for grandchildren) or search for indirect connections to answer complex relationship queries.
2. For set/class queries (e.g., all cities, all holidays), use instance/subclass chains (P31/P279) for completeness and relevant filters. Be aware of data incompleteness and schema inconsistencies in Wikidata.
3. If queries return too many irrelevant or too few results, try varying properties (country, location, observed in, etc.) and subclass chains, but be ready to report data/model limitations if results remain incomplete or noisy.
4. When a direct property or class is missing or inconsistently used, try related or broader properties/classes (e.g., use inception for independence date, or musical work/composition for musicals) to increase recall.
5. For calculated properties (e.g., population density), combine relevant direct properties (e.g., population, area) in SPARQL queries, as Wikidata may not store the derived value directly.
6. When entity search returns multiple candidates, use context (description, instance type, location, etc.) to disambiguate and select the most relevant entity for the query.

No general notes for all knowledge graphs available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
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 just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. 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.
5. 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.
6. 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.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. 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 year was Riverdale first aired?

[Assistant] To answer the question about the year when the TV show "Riverdale" was first aired, I need to find the entity for "Riverdale" in the knowledge graph and then look for its first air date or premiere date property. I will start by searching for the entity "Riverdale."

[Tool]
Top 10 entity alternatives:
1. Riverdale (wd:Q23001951): American teen drama television series (2017–2023), instance of television series
2. Riverdale, also known as Riverdale, GA, Riverdale, Georgia (wd:Q3260888): city in Clayton County, Georgia, United States, instance of city in the United States, instance of municipality of Georgia
3. Riverdale, also known as Riverdale, IA, Riverdale, Iowa (wd:Q1925935): city in Scott County, Iowa, United States, instance of city in the United States
4. Riverdale, also known as Riverdale, UT, Riverdale, Utah (wd:Q129941): city in Weber County, Utah, United States, instance of city in the United States
5. Riverdale Park, also known as Riverdale Park, MD, Riverdale Park, Maryland, Riverdale, Maryland, Riverdale (wd:Q754948): town in Prince George's County, Maryland, United States, instance of Municipality of Maryland
6. Riverdale, also known as Riverdale, New Jersey, Riverdale, NJ (wd:Q1083010): borough in Morris County, New Jersey, United States, instance of borough of New Jersey
7. Riverdale, also known as Riverdale, IL (wd:Q2668893): village in Cook County, Illinois, United States, instance of village of Illinois
8. Riverdale, also known as Riverdale, Nebraska, Riverdale, NE (wd:Q2516346): instance of village in the United States, village in Nebraska
9. Riverdale, also known as Riverdale, ND, Riverdale, North Dakota (wd:Q2373536): human settlement in McLean County, North Dakota, United States of America, instance of city in the United States
10. Riverdale, also known as Liberty Settlement, Riverdale, CA (wd:Q3458236): census-designated place (CDP) in Fresno County, California, United States, instance of census-designated place in the United States

[Assistant] The entity "Riverdale" as an American teen drama television series is identified as wd:Q23001951. Next, I will look for the property that indicates the first air date or premiere date of this TV series. I will search for properties related to "first air date" or "premiere date" for this entity.

[Tool]
Top 10 property alternatives:
1. original broadcaster, also known as original channel, original network, radio network, radio station, television channel (wd:P449 as wdt/p): network(s) or service(s) that originally broadcast a radio or television program, subproperty of broadcast by
2. has spin-off, also known as series spin-off, series spinoff, spin-offs, television series spin-off, television series spinoff (wd:P2512 as wdt/p): works that are spin-offs of this item
3. start time, also known as start date, since, join time, joined, join date (wd:P580 as wdt/p): time an entity begins to exist or a statement starts being valid, subproperty of point in time
4. list of episodes, also known as episodes list, episode list (wd:P1811 as wdt/p): link to the article with the list of episodes for this series, subproperty of has list
5. TheTVDB series ID, also known as TheTVDB.com series ID (wd:P4835 as wdt/p): identifier for a television series at TheTVDB.com
6. number of episodes, also known as episodes, series length, no. of episodes, episode count (wd:P1113 as wdt/p): number of episodes in a film/TV/radio series, subproperty of number of parts of this work
7. TV Guide show ID (former scheme), also known as tvguide.com show ID (wd:P3804 as wdt/p): ID of a television program at TV Guide
8. TMDB TV series ID, also known as The Movie Database TV show ID, themoviedb.org TV series ID, themoviedb.org TV show ID, TMDb TV show ID, The Movie Database TV series ID (wd:P4983 as wdt/p): identifier for a TV show at The Movie Database
9. original language of film or TV show, also known as original language, language of the original work, media language, created on language (wd:P364 as wdt/p): language in which a film or a performance work was originally cr... works and songs; use P407 ("language of work or name") instead., subproperty of language of work or name
10. LezWatch.TV show ID (wd:P7107 as wdt/p): ID for shows listed in LezWatch.TV show database

No other items found

[Assistant] The property "start time" (wdt:P580) seems to be the appropriate property to indicate the start date or first air date of the TV series "Riverdale." I will now query the start time for the entity Riverdale (wd:Q23001951).

[Tool]
Got 1 row and 1 column:
| startDate                           |
| ----------------------------------- |
| 2017-01-26T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?label WHERE {
  wd:Q100387742 rdfs:label ?label FILTER ( LANG( ?label ) = "en" )
}

Got 1 row and 1 column:
| label        |
| ------------ |
| Empress (en) |

The female form of an emperor in English is called an "Empress."

What do you call a female form of an emperor in English?

[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 with notes:
1. When direct properties are missing, chain related properties (e.g., child→child for grandchildren) or search for indirect connections to answer complex relationship queries.
2. For set/class queries (e.g., all cities, all holidays), use instance/subclass chains (P31/P279) for completeness and relevant filters. Be aware of data incompleteness and schema inconsistencies in Wikidata.
3. If queries return too many irrelevant or too few results, try varying properties (country, location, observed in, etc.) and subclass chains, but be ready to report data/model limitations if results remain incomplete or noisy.
4. When a direct property or class is missing or inconsistently used, try related or broader properties/classes (e.g., use inception for independence date, or musical work/composition for musicals) to increase recall.
5. For calculated properties (e.g., population density), combine relevant direct properties (e.g., population, area) in SPARQL queries, as Wikidata may not store the derived value directly.
6. When entity search returns multiple candidates, use context (description, instance type, location, etc.) to disambiguate and select the most relevant entity for the query.

No general notes for all knowledge graphs available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
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 just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. 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.
5. 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.
6. 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.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. 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 do you call a female form of an emperor in English?

[Assistant] The question is asking for the English term used to denote the female form of an emperor. Typically, the male ruler "emperor" has a female counterpart term. I will search for the entity "emperor" in Wikidata and then look for properties or related entities that indicate the female form or equivalent title. This will help identify the correct English term.

[Tool]
Top 10 entity alternatives:
1. Emperor, also known as imperator, emperor (wd:Q39018)
2. monarch, also known as queen regnant, king, empress regnant, emperor (wd:Q116)
3. Emperor dragonfly, also known as Anax imperator, Blue Emperor, Emperor, Emperor Dragonfly (wd:Q527496): instance of taxon, species of insect
4. Emperor of China, also known as thearch, Tianzi, Ti, Son of Heaven, Huang Ti (wd:Q268218)
5. Emperor, also known as W. Kaiser (wd:Q264029): Norwegian black metal band, instance of musical group
6. Emperor, also known as '' Emperor '' (wd:Q3724802): 2012 film by Peter Webber, instance of film
7. Emperor (wd:Q1528170): instance of extended play, Extended Play recording
8. Da Emperor, also known as The Emperor, Mobolaji Fasasi, Fasasi Mobolaji Gaius, Etiemelo Empire Entertainment, Emperor (wd:Q23771229): Nigerian Individuals rapper, actor and songwriter. He has family...ts in Ogun State. Da Emperor Raps in Yoruba, Pidgin and English., instance of human, songwriter, rapper, actor
9. Shields Green, also known as Emperor (wd:Q7496187): man enslaved in United States, instance of human, abolitionist, waiter
10. Emperor, also known as Emperor band (wd:Q13078684): Burmese hard rock band formed in 1980s, instance of musical group

[Assistant] The most relevant entity for "emperor" as a ruler is wd:Q39018. Next, I will check for properties or related entities that indicate the female form or equivalent title of this entity. I will look for terms like "female form," "female equivalent," or "feminine form" related to this entity.

[Tool]
Got 808 rows and 3 columns, showing the first 10 rows below:
| subject             | property                                       | object                                                                   |
| ------------------- | ---------------------------------------------- | ------------------------------------------------------------------------ |
| Emperor (wd:Q39018) | instance of (wdt:P31)                          | profession (wd:Q28640)                                                   |
| Emperor (wd:Q39018) | Commons category (wdt:P373)                    | Emperors                                                                 |
| Emperor (wd:Q39018) | image (wdt:P18)                                | <http://commons.wikimedia.org/wiki/Special:FilePath/Statue-Augustus.jpg> |
| Emperor (wd:Q39018) | subclass of (wdt:P279)                         | monarch (wd:Q116)                                                        |
| Emperor (wd:Q39018) | described by source (wdt:P1343)                | Metropolitan Museum of Art Tagging Vocabulary (wd:Q106727050)            |
| Emperor (wd:Q39018) | on focus list of Wikimedia project (wdt:P5008) | wd:Q6173448                                                              |
| Emperor (wd:Q39018) | applies to jurisdiction (wdt:P1001)            | _:bn1491125                                                              |
| Emperor (wd:Q39018) | different from (wdt:P1889)                     | king (wd:Q12097)                                                         |
| Emperor (wd:Q39018) | topic's main category (wdt:P910)               | wd:Q7216624                                                              |
| Emperor (wd:Q39018) | said to be the same as (wdt:P460)              | Empress (wd:Q100387742)                                                  |
| ...                 | ...                                            | ...                                                                      |

[Assistant] I found that "Emperor" (wd:Q39018) is said to be the same as "Empress" (wd:Q100387742) according to the property "said to be the same as" (wdt:P460). This suggests that the female form of an emperor is called an "Empress." I will now confirm the label of wd:Q100387742 to verify it is "Empress."

[Tool]
Got 1 row and 1 column:
| label        |
| ------------ |
| Empress (en) |

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?person ?personLabel WHERE {
  ?person wdt:P39 wd:Q56024 .
  ?person p:P39 ?statement .
  ?statement ps:P39 wd:Q56024 .
  FILTER NOT EXISTS {
    ?statement pq:P582 ?end
  }
  OPTIONAL {
    ?person rdfs:label ?personLabel FILTER ( LANG( ?personLabel ) = "en" )
  }
}
LIMIT 1

The current president of the German Bundestag according to Wikidata is Julia Klöckner.

Who is the current president of the German Bundestag currently?

[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 with notes:
1. When direct properties are missing, chain related properties (e.g., child→child for grandchildren) or search for indirect connections to answer complex relationship queries.
2. For set/class queries (e.g., all cities, all holidays), use instance/subclass chains (P31/P279) for completeness and relevant filters. Be aware of data incompleteness and schema inconsistencies in Wikidata.
3. If queries return too many irrelevant or too few results, try varying properties (country, location, observed in, etc.) and subclass chains, but be ready to report data/model limitations if results remain incomplete or noisy.
4. When a direct property or class is missing or inconsistently used, try related or broader properties/classes (e.g., use inception for independence date, or musical work/composition for musicals) to increase recall.
5. For calculated properties (e.g., population density), combine relevant direct properties (e.g., population, area) in SPARQL queries, as Wikidata may not store the derived value directly.
6. When entity search returns multiple candidates, use context (description, instance type, location, etc.) to disambiguate and select the most relevant entity for the query.

No general notes for all knowledge graphs available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
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 just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. 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.
5. 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.
6. 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.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Who is the current president of the German Bundestag currently?

[Assistant]
To answer the question "Who is the current president of the German Bundestag currently?", I need to identify the entity representing the German Bundestag and the property that indicates its president. Then I will query for the current president of the German Bundestag.

Step 1: Search for the entity representing the German Bundestag.

[Tool]
Top 10 entity alternatives:
1. German Bundestag, also known as Bundestag of Germany, German parliament (wd:Q154797): instance of representative assembly, legislature of Germany; parliament, instance of lower house, instance of legislature
2. 1st German Bundestag, also known as First German Bundestag (wd:Q30542687): legislative term from 1949 to 1953, instance of legislative term
3. 21st German Bundestag, also known as Twenty-first German Bundestag (wd:Q124661964): legislative term from 2025 to 2029 (expected), instance of legislative term
4. 20th German Bundestag, also known as Twentieth German Bundestag (wd:Q33091469): legislative term from 2021 to 2025, instance of legislative term
5. 2nd German Bundestag, also known as Second German Bundestag (wd:Q30542689): legislative term from 1953 to 1957, instance of legislative term
6. 19th German Bundestag, also known as Nineteenth German Bundestag (wd:Q30579723): legislative term from 2017 to 2021, instance of legislative term
7. 17th German Bundestag, also known as Seventeenth German Bundestag (wd:Q30542764): legislative term from 2009 to 2013, instance of legislative term
8. 16th German Bundestag, also known as Sixteenth German Bundestag (wd:Q30542763): legislative term from 2005 to 2009, instance of legislative term
9. 18th German Bundestag, also known as Eighteenth German Bundestag (wd:Q15081430): legislative term from 2013 to 2017, instance of legislative term
10. 10th German Bundestag, also known as Tenth German Bundestag (wd:Q30542755): legislative term from 1983 to 1987, instance of legislative term

[Assistant] The entity representing the German Bundestag is wd:Q154797. Next, I need to find the property that indicates the president of the German Bundestag. I will search for properties related to "president" for the entity German Bundestag (wd:Q154797).

[Tool]
Top 10 property alternatives:
1. chairperson, also known as dean, headed by, leader, chairman, president (wd:P488 as wdt/p): presiding member of an organization, group or body, subproperty of director / manager, subproperty of significant person
2. position held by head of the organization, also known as position held by head of the organisation, secretary's position, president's position, position held by head of the organization, office held by head of the organisation (wd:P2388 as wdt/p): position of the head of this item
3. country, also known as state, sovereign state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), subproperty of located in the administrative territorial entity
4. native label, also known as official name, original title, official title, original label, original language label (wd:P1705 as wdt/p): label for the items in their official language  or their original language, subproperty of name
5. headquarters location, also known as headquarters locality, headquarters town, HQ, HQ location, location of headquarters (wd:P159 as wdt/p): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, subproperty of significant place
6. image, also known as img, infobox image, photo, photograph, picture (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)
7. official website, also known as site (official), site official, URL, URL (official), URL official (wd:P856 as wdt/p): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, subproperty of URL
8. inception, also known as inception date, founding date, founded in, founded on date, founded on (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, subproperty of start time
9. applies to jurisdiction, also known as country of jurisdiction, of, jurisdiction linked, jurisdiction, belongs to jurisdiction (wd:P1001 as wdt/p): the item (institution, law, public office, public register...) o...a territorial jurisdiction: a country, state, municipality, ...), subproperty of characteristic of, subproperty of significant place, subproperty of operating area
10. Politiklexikon ID, also known as Politiklexikon article ID, Politiklexikon article identifier (wd:P9437 as wdt/p): identifier for an article in the Politiklexikon

No other items found

[Assistant] The property "chairperson" (wdt:P488) seems to be the most relevant property for indicating the president or presiding member of an organization like the German Bundestag. I will now query for the current chairperson (president) of the German Bundestag (wd:Q154797).

[Tool]
Got 1 row and 2 columns:
| president                  | presidentLabel      |
| -------------------------- | ------------------- |
| Julia Klöckner (wd:Q88158) | Julia Klöckner (en) |

[Assistant]
The query returned Julia Klöckner as the president of the German Bundestag, but this seems incorrect based on general knowledge. I will try to verify if there is a more specific property or qualifier indicating the current president or if there is a more specific entity for the office of the president of the Bundestag.

I will search for the entity "President of the German Bundestag" to see if there is a dedicated entity for this office.

[Tool]
Top 10 entity alternatives:
1. President of the Bundestag, also known as Bundestagspräsident, Präsident des Deutschen Bundestages (wd:Q56024)
2. President of the Bundesrat of Germany, also known as President of the Bundesrat, President of the German Bundesrat (wd:Q363637)
3. member of the German Bundestag, also known as MdB, member of the Bundestag of Germany (wd:Q1939555)
4. Library of the German Bundestag, also known as Bibliothek des Deutschen Bundestages (wd:Q856510): Library that serves the Members of the Bundestag (Germany parliament), the parliamentary groups and the Bundestag Administration, instance of parliamentary library
5. Vice President of the Bundestag (wd:Q20966659)
6. Visit of German Bundestag Presid...ashington, D.C. (NAID 102048208) (wd:Q66333600): item in the National Archives and Records Administration's holdings, instance of item of collection or exhibition
7. Council of Elders of the German Bundestag (wd:Q131193756): instance of Council of Elders (Germany), committee of the German Bundestag
8. chauffeur service of the German Bundestag (wd:Q1392283): instance of government agency
9. President of the German Esperanto Association, also known as president of the German Esperanto Association (wd:Q15457319): instance of position, position
10. Rules of Procedure of the German Bundestag, also known as Geschäftsordnung (wd:Q1518204): instance of parliamentary rules of procedure

[Assistant] There is a dedicated entity for the office "President of the Bundestag" (wd:Q56024). I will now query for the current holder of this office.

[Tool]
Got 1 row and 2 columns:
| person                     | personLabel         |
| -------------------------- | ------------------- |
| Julia Klöckner (wd:Q88158) | Julia Klöckner (en) |

[Assistant] The query returned Julia Klöckner as the current holder of the office "President of the Bundestag" (wd:Q56024). This is unexpected as general knowledge suggests a different person. I will double-check the label of Julia Klöckner to confirm if it is indeed the same person known as a German politician. I will also check if there is any recent update or if there is another person who held this position recently.

[Tool]
Got 10 rows and 3 columns:
| person                         | personLabel             | description                                                              |
| ------------------------------ | ----------------------- | ------------------------------------------------------------------------ |
| wd:Q1019016                    |                         | German politician, President of the Bundestag (en)                       |
| Wolfgang Schäuble (wd:Q16019)  | Wolfgang Schäuble (en)  | German politician and statesman (1942–2023) (en)                         |
| Philipp Jenninger (wd:Q214060) | Philipp Jenninger (en)  | German politician and diplomat, ...ent of the Bundestag (1932-2018) (en) |
| Karl Carstens (wd:Q2569)       | Karl Carstens (en)      | president of the Federal Republic of Germany (1914-1992) (en)            |
| Richard Stücklen (wd:Q454669)  | Richard Stücklen (en)   | German politician, former President of the Bundestag (1916-2002) (en)    |
| Rainer Barzel (wd:Q470285)     | Rainer Barzel (en)      | German politician (1924–2006) (en)                                       |
| Norbert Lammert (wd:Q57474)    | Norbert Lammert (en)    | German politician, president of the Bundestag (en)                       |
| Wolfgang Thierse (wd:Q62703)   | Wolfgang Thierse (en)   | German politician (en)                                                   |
| Kai-Uwe von Hassel (wd:Q65526) | Kai-Uwe von Hassel (en) | German politician (1913–1997) (en)                                       |
| Annemarie Renger (wd:Q66138)   | Annemarie Renger (en)   | German politician (1919-2008) (en)                                       |

[Assistant]
The results include several known former presidents of the Bundestag, but the current president is not clearly indicated by label or description. The previous query returned Julia Klöckner, but she is not known as the president of the Bundestag. I will check the current president of the Bundestag from a reliable source and then verify the entity in Wikidata.

Based on recent knowledge, the current president of the German Bundestag is Bärbel Bas. I will verify if Bärbel Bas is listed as the current president of the Bundestag in Wikidata.

[Tool] Got no rows and 2 columns

[Assistant] Bärbel Bas is not currently listed as the president of the Bundestag in Wikidata with the current holder property. I will now check the current president of the Bundestag by querying for the latest person holding the position "President of the Bundestag" (wd:Q56024) sorted by start date to find the most recent one.

[Tool]
SPARQL execution failed:
HTTPSConnectionPool(host='qlever.cs.uni-freiburg.de', port=443): Read timed out. (read timeout=30)

[Assistant] The query to find the most recent president of the Bundestag timed out. I will simplify the query by removing the label filter and try again to get the most recent person holding the position "President of the Bundestag" (wd:Q56024) sorted by start date.

[Tool]
Got 1 row and 2 columns:
| person                     | start                               |
| -------------------------- | ----------------------------------- |
| Julia Klöckner (wd:Q88158) | 2025-03-25T00:00:00Z (xsd:dateTime) |

[Assistant]
The most recent start date for the position "President of the Bundestag" (wd:Q56024) is 2025-03-25, and the person is Julia Klöckner (wd:Q88158). This indicates that according to Wikidata, Julia Klöckner is the current president of the German Bundestag starting from March 25, 2025.

I will now provide the final answer.

[Tool] Stopped generation process