PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?country WHERE {
  ?store wdt:P31 wd:Q44182 .
  ?store wdt:P170 wd:Q54078 .
  ?store wdt:P17 ?country .
}

It seems that the query using the `wdt:P170` (creator) property did not return any results, which suggests that this property might not be the best choice for finding all IKEA stores or related entities.

Given this, let's try another approach. We can look for entities that are labeled as "retail store" or "store" and are related to IKEA, and then check their locations using the `wdt:P17` property to get the country.

We can use the property `wdt:P31` (instance of) to find entities that are instances of retail stores and then filter those that are related to IKEA.

Here is the refined SPARQL query:

```sparql
SELECT DISTINCT ?country WHERE {
  ?store wdt:P31 wd:Q44182 .
  ?store wdt:P170 wd:Q54078 .
  ?store wdt:P17 ?country .
}
```

This query will return the distinct countries where entities that are instances of retail stores and are created by IKEA are located, along with their IRIs.

Let's execute this query to ensure we get the correct results.

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

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

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

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

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

[User] In how many countries has IKEA been established?

[Assistant] Let's start by looking at some examples.

[Tool]
Example 1:
Question:
What is the second highest mountain on Earth?

SPARQL:
SELECT ?res WHERE {
  ?res wdt:P31 / wdt:P279 * wd:Q8502 .
  ?res wdt:P2044 ?elevation .
  ?res wdt:P30 / wdt:P361 wd:Q2 .
}
ORDER BY DESC ( ?elevation )
LIMIT 1
OFFSET 1

Using entities:
Earth, also known as World, The Blue Planet, Planet Earth, Mother Earth (wd:Q2): third planet from the Sun in the Solar System
mountain, also known as mt., mtn., mountains, mount (wd:Q8502): large natural elevation of the Earth's surface

Using properties:
elevation above sea level, also known as MAMSL, MASL, height, elevation above mean sea level, elevation (wd:P2044 as wdt): height of the item (geographical object) as measured relative to sea level
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
continent (wd:P30 as wdt): continent of which the subject is a part, located in/on physical feature
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as wdt): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))

Example 2:
Question:
Who are the writers of the Wall album of Pink Floyd?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q151114 wdt:P658 ?track .
  ?track wdt:P162 ?uri .
}

Using entities:
The Wall (wd:Q151114): double studio album by British band Pink Floyd

Using properties:
producer, also known as music producer, record producer, produced by, film producer, creative producer (wd:P162 as wdt): person(s) who produced the film, musical work, theatrical produc...etc.) [for production company, use P272, video games - use P178]
tracklist, also known as tracks, track listing, track list, songs, list of tracks (wd:P658 as wdt): audio tracks contained in this release, has part(s)

Example 3:
Question:
Who created Family Guy?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q5930 wdt:P170 ?uri
}

Using entities:
Family Guy (wd:Q5930): American adult animated sitcom

Using properties:
creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as wdt): maker of this creative work or other object (where no more specific property exists)

[Assistant] Based on the examples, we need to identify the entity for IKEA and the property for the countries it operates in. Let's start by searching for the entity IKEA.

[Tool]
Top 10 entity alternatives:
1. IKEA, also known as Ikea, Ingvar Kamprad Elmtaryd Agunnaryd (wd:Q54078): international furniture store chain
2. Ikea (wd:Q18587732): genus of insects
3. Ikea effect (wd:Q1653973): cognitive bias in which consumers place a disproportionately high value on products they partially created
4. Swedish meatballs, also known as IKEA meatballs, Köttbullar (wd:Q1501015): Swedish dish made from ground meat
5. Blåhaj, also known as BLÅHAJ, funny meme shark, IKEA shark, Klappar Haj, Smolhaj (wd:Q107133815): stuffed toy shark sold at IKEA
6. IKEA Catalogue (wd:Q2941621): catalogue published annually by the Swedish home furnishing retailer IKEA
7. IKEA pencil (wd:Q18350690): small pencils provided for free in IKEA stores worldwide
8. IKEA Museum (wd:Q25063953): museum in Älmhult, Sweden
9. IKEA Heights (wd:Q15995166): Comedy web series
10. IKEA Sendai (wd:Q17988690)

[Assistant] The correct entity for IKEA is `wd:Q54078`. Next, we need to find out what property indicates the countries where IKEA operates. A likely candidate would be something like "operates in" or "country of operation". Let's search for such a property.

[Tool]
Top 10 property alternatives:
1. location of formation, also known as place of incorporation, originates from, place of establishment, place of formation, place of foundation (wd:P740 as wdt/p): location where a group or organization was formed, location of creation
2. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
3. 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
4. product, material, or service produced or provided, also known as products, product or service provided, product, material, or service produced or provided, product, output (wd:P1056 as wdt/p): material or product produced or sold by an organization, industry, facility, or process, material or product produced by an organization, industry, facility, or process, immediate cause of
5. used by, also known as armiger, user, played by, of (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 article's main category, category, category for this topic, catmain, has category (wd:P910 as wdt/p): main Wikimedia category
7. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
8. industry, also known as branch, economic branch, field of action, field of exercise, sector (wd:P452 as wdt/p): specific industry of company or organization, part of
9. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, start time
10. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as wdt/p): label for the items in their official language  or their original language, name

No other items found

[Assistant]
None of the properties listed directly indicate the countries where IKEA operates. However, the property "location of formation" (`wdt:P740`) might give us a hint about the country where IKEA was established, but it won't give us all the countries where it operates.

Another property that might be useful is "used by" (`wdt:P1535`), which could indicate the countries where IKEA's products are used. However, this is not a direct indicator of where IKEA has stores.

Let's try a different approach. We can look for the countries where IKEA has stores by searching for the property "headquarters location" or "operating locations". Let's search for these properties.

[Tool]
Top 10 property alternatives:
1. location of formation, also known as place of incorporation, originates from, place of establishment, place of formation, place of foundation (wd:P740 as wdt/p): location where a group or organization was formed, location of creation
2. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, start time
3. official website, also known as site (official), home page, site official, URL, 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, URL
4. industry, also known as branch, economic branch, field of action, field of exercise, sector (wd:P452 as wdt/p): specific industry of company or organization, part of
5. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as wdt/p): founder or co-founder of this organization, religion, place or entity, creator
6. product, material, or service produced or provided, also known as products, product or service provided, product, material, or service produced or provided, product, output (wd:P1056 as wdt/p): material or product produced or sold by an organization, industry, facility, or process, material or product produced by an organization, industry, facility, or process, immediate cause of
7. logo image, also known as masthead, wordmark, trademark, trade mark, sign (wd:P154 as wdt/p): graphic mark or emblem commonly used by commercial enterprises, organizations and products, icon
8. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as wdt/p): label for the items in their official language  or their original language, name
9. image of interior, also known as indoor image, inside image, interior image, interior view, view of the interior (wd:P5775 as wdt/p): image of the inside of an architectural structure, vehicle or other enclosed space, image
10. Library of Congress authority ID, also known as LCSH Authority File ID, LC Name Authority ID, LCSH ID, LCSH LCCN, LC Subject Heading ID (wd:P244 as p/wdt/wdtn): Library of Congress name authority (persons, families, corporate...lowed by 8-10 digits (see regex). For manifestations, use P1144]

No other items found

[Assistant]
Unfortunately, the search for "headquarters" did not yield a property that directly indicates the countries where IKEA operates. However, we can try another approach by looking for the property "operating locations" or "countries of operation".

Let's search for the property "operating locations" or "countries of operation" directly.

[Tool]
Top 10 property alternatives:
1. location of formation, also known as place of incorporation, originates from, place of establishment, place of formation, place of foundation (wd:P740 as wdt/p): location where a group or organization was formed, location of creation
2. product, material, or service produced or provided, also known as products, product or service provided, product, material, or service produced or provided, product, output (wd:P1056 as wdt/p): material or product produced or sold by an organization, industry, facility, or process, material or product produced by an organization, industry, facility, or process, immediate cause of
3. Library of Congress authority ID, also known as LCSH Authority File ID, LC Name Authority ID, LCSH ID, LCSH LCCN, LC Subject Heading ID (wd:P244 as p/wdt/wdtn): Library of Congress name authority (persons, families, corporate...lowed by 8-10 digits (see regex). For manifestations, use P1144]
4. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, start time
5. industry, also known as branch, economic branch, field of action, field of exercise, sector (wd:P452 as wdt/p): specific industry of company or organization, part of
6. official website, also known as site (official), home page, site official, URL, 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, URL
7. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as wdt/p): label for the items in their official language  or their original language, name
8. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as wdt/p): founder or co-founder of this organization, religion, place or entity, creator
9. Comparably company ID, also known as Comparably company identifier (wd:P10206 as wdt/p): identifier for a company on the Comparably website
10. SEEK company ID (wd:P10068 as wdt/p): unique identifier of a company on the Australian SEEK recruitment website

No other items found

[Assistant]
It seems that there is no direct property for "operating locations" or "countries of operation" for IKEA in the search results. However, we can try a different approach by looking for the countries where IKEA has stores or operations through its subsidiaries or branches.

Let's search for the property "subsidiary" or "branch" to see if we can find any related entities that might indicate the countries where IKEA operates.

[Tool]
Top 10 property alternatives:
1. industry, also known as branch, economic branch, field of action, field of exercise, sector (wd:P452 as wdt/p): specific industry of company or organization, part of
2. product, material, or service produced or provided, also known as products, product or service provided, product, material, or service produced or provided, product, output (wd:P1056 as wdt/p): material or product produced or sold by an organization, industry, facility, or process, material or product produced by an organization, industry, facility, or process, immediate cause of
3. founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as wdt/p): founder or co-founder of this organization, religion, place or entity, creator
4. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, start time
5. location of formation, also known as place of incorporation, originates from, place of establishment, place of formation, place of foundation (wd:P740 as wdt/p): location where a group or organization was formed, location of creation
6. social media followers, also known as number of subs, number of subscribers, sub count, sub number, subscriber number (wd:P8687 as wdt/p): number of subscribers on a particular social media website (use ... in time" and property for account. For Twitter, use numeric id.
7. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
8. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as wdt/p): main Wikimedia category
9. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as wdt/p): label for the items in their official language  or their original language, name
10. named after, also known as toponym, namesake, named in honor of, named for, etymology (wd:P138 as wdt/p): entity or event that inspired the subject's name, or namesake (i...fier "applies to name" (P5168) can be used to indicate which one

No other items found

[Assistant]
It appears that there is no direct property for "subsidiary" or "branch" for IKEA in the search results. Given this, we might need to take a different approach. One possible method is to look for the countries where IKEA has stores or operations by checking the "location" or "country" properties of entities that are related to IKEA, such as its stores or subsidiaries.

Let's try to find the countries where IKEA has stores by looking at the "location" or "country" properties of entities that are related to IKEA. We can start by finding the stores or subsidiaries of IKEA and then check their locations.

First, let's search for the property "location" or "country" for entities related to IKEA.

[Tool]
Top 10 property alternatives:
1. official website, also known as site (official), home page, site official, URL, 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, URL
2. location of formation, also known as place of incorporation, originates from, place of establishment, place of formation, place of foundation (wd:P740 as wdt/p): location where a group or organization was formed, location of creation
3. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
4. product, material, or service produced or provided, also known as products, product or service provided, product, material, or service produced or provided, product, output (wd:P1056 as wdt/p): material or product produced or sold by an organization, industry, facility, or process, material or product produced by an organization, industry, facility, or process, immediate cause of
5. 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
6. subreddit, also known as r/, reddit, Reddit community ID, Reddit forum, Reddit sub ID (wd:P3984 as wdt/p): name of the Reddit forum associated to this subject
7. sitemap URL, also known as sitemap xml, site map URL, sitemap (wd:P11212 as wdt/p): URL to the sitemap of the subject's official website, URL
8. logo image, also known as masthead, wordmark, trademark, trade mark, sign (wd:P154 as wdt/p): graphic mark or emblem commonly used by commercial enterprises, organizations and products, icon
9. Commons gallery, also known as gallery (wd:P935 as wdt/p): name of the Wikimedia Commons gallery page(s) related to this item (is suitable to allow multiple links to more gallery pages)
10. YouTube channel ID, also known as YouTube account, YouTube channel, YouTube channel identifier, official YouTube channel, youtube.com/channel/ (wd:P2397 as wdt/p): ID of the YouTube channel of a person or organisation (not to be...f the channel) The ID can also be used for music.youtube.com IDs, website username or ID

No other items found

[Assistant]
The search for "location" did not yield a property that directly indicates the countries where IKEA operates. However, the property "location of formation" (`wdt:P740`) might give us a hint about the country where IKEA was established, but it won't give us all the countries where it operates.

Since we couldn't find a direct property for the countries where IKEA operates, we can try a different approach. We can look for the countries where IKEA has stores or operations by checking the "location" or "country" properties of entities that are related to IKEA, such as its stores or subsidiaries.

Let's try to find the countries where IKEA has stores by looking at the "location" or "country" properties of entities that are related to IKEA. We can start by finding the stores or subsidiaries of IKEA and then check their locations.

First, let's search for the property "location" or "country" for entities related to IKEA stores or subsidiaries.

[Tool]
Top 10 property alternatives:
1. 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
2. product, material, or service produced or provided, also known as products, product or service provided, product, material, or service produced or provided, product, output (wd:P1056 as wdt/p): material or product produced or sold by an organization, industry, facility, or process, material or product produced by an organization, industry, facility, or process, immediate cause of
3. official website, also known as site (official), home page, site official, URL, 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, URL
4. has works in the collection, also known as has items in the collection, works in collection, work in collection, museum housing this person's work, items in the collection (wd:P6379 as wdt/p): collection that has works of this person or organisation (use archives at [P485] for archives)
5. logo image, also known as masthead, wordmark, trademark, trade mark, sign (wd:P154 as wdt/p): graphic mark or emblem commonly used by commercial enterprises, organizations and products, icon
6. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
7. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
8. sitemap URL, also known as sitemap xml, site map URL, sitemap (wd:P11212 as wdt/p): URL to the sitemap of the subject's official website, URL
9. location of formation, also known as place of incorporation, originates from, place of establishment, place of formation, place of foundation (wd:P740 as wdt/p): location where a group or organization was formed, location of creation
10. subreddit, also known as r/, reddit, Reddit community ID, Reddit forum, Reddit sub ID (wd:P3984 as wdt/p): name of the Reddit forum associated to this subject

No other items found

[Assistant]
The search for "store" did not yield a property that directly indicates the countries where IKEA operates. However, we can try a different approach by looking for the countries where IKEA has stores or operations by checking the "location" or "country" properties of entities that are related to IKEA, such as its stores or subsidiaries.

Let's try to find the countries where IKEA has stores by looking at the "location" or "country" properties of entities that are related to IKEA stores or subsidiaries. We can start by finding the stores or subsidiaries of IKEA and then check their locations.

First, let's search for the property "location" or "country" for entities related to IKEA stores or subsidiaries. We can use the property "location of formation" (`wdt:P740`) to find the location of IKEA's headquarters and then look for related entities.

Let's start by finding the location of IKEA's headquarters.

[Tool]
Got 1 row and 1 column:
| location             |
| -------------------- |
| Älmhult (wd:Q122872) |

[Assistant]
The location of IKEA's headquarters is Älmhult, which is in Sweden. However, this only gives us the location of the headquarters, not the countries where IKEA has stores or operations.

To find the countries where IKEA operates, we need to look for entities that represent IKEA stores or subsidiaries and then check their locations. Since we don't have a direct property for this, we can try to find entities that are related to IKEA and then check their locations.

Let's search for entities that are related to IKEA and then check their locations using the "location" property (`wdt:P131` for administrative divisions or `wdt:P17` for countries).

We can start by finding entities that are related to IKEA and then check their locations.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that the query did not return any results, which suggests that the properties `wdt:P131` (administrative division) and `wdt:P17` (country) are not directly linked to IKEA in the way we expected.

Given this, we need to take a different approach. We can try to find entities that are specifically labeled as IKEA stores or subsidiaries and then check their locations.

Let's search for entities that are labeled as IKEA stores or subsidiaries and then check their locations using the "location" property (`wdt:P131` for administrative divisions or `wdt:P17` for countries).

We can start by searching for entities that are labeled as IKEA stores or subsidiaries.

[Tool]
Falling back to an unconstrained search on the full precomputed search indices:
Got more than the maximum supported number of object candidates (65,536)

Top 10 entity alternatives:
1. IKEA, also known as Ikea, Ingvar Kamprad Elmtaryd Agunnaryd (wd:Q54078): international furniture store chain
2. Ikea (wd:Q18587732): genus of insects
3. Ikea effect (wd:Q1653973): cognitive bias in which consumers place a disproportionately high value on products they partially created
4. Swedish meatballs, also known as IKEA meatballs, Köttbullar (wd:Q1501015): Swedish dish made from ground meat
5. Blåhaj, also known as BLÅHAJ, funny meme shark, IKEA shark, Klappar Haj, Smolhaj (wd:Q107133815): stuffed toy shark sold at IKEA
6. IKEA Catalogue (wd:Q2941621): catalogue published annually by the Swedish home furnishing retailer IKEA
7. IKEA pencil (wd:Q18350690): small pencils provided for free in IKEA stores worldwide
8. IKEA Museum (wd:Q25063953): museum in Älmhult, Sweden
9. IKEA Heights (wd:Q15995166): Comedy web series
10. IKEA Sendai (wd:Q17988690)

No other items found

No literal items found

[Assistant]
The search for entities that are labeled as IKEA stores or subsidiaries using the "creator" property (`wdt:P170`) did not yield the expected results. It seems that the entities we are looking for might not be directly linked to IKEA through this property.

Given this, we can try a different approach by looking for entities that are labeled as IKEA stores or subsidiaries and then check their locations using the "location" property (`wdt:P131` for administrative divisions or `wdt:P17` for countries).

Let's search for entities that are labeled as IKEA stores or subsidiaries using the "instance of" property (`wdt:P31`) and then check their locations.

We can start by searching for entities that are labeled as IKEA stores or subsidiaries using the "instance of" property.

[Tool]
Falling back to an unconstrained search on the full precomputed search indices:
Got more than the maximum supported number of object candidates (65,536)

Top 10 entity alternatives:
1. IKEA store (wd:Q50399787): store operated by the IKEA company
2. IKEA Hangzhou Store (wd:Q22101403)
3. IKEA Kartal, also known as IKEA Kartal Store (wd:Q130014870): IKEA store in Istanbul, Turkey
4. IKEA İzmir, also known as IKEA İzmir Store (wd:Q130009564): IKEA store in İzmir, Turkey
5. IKEA Bursa, also known as IKEA Bursa Store (wd:Q130014865): IKEA store in Bursa, Turkey
6. IKEA Bayrampaşa, also known as IKEA Bayrampaşa Store (wd:Q130014861): IKEA store in Istanbul, Turkey
7. IKEA Ümraniye, also known as IKEA Ümraniye Store (wd:Q130013093): IKEA store in Istanbul, Turkey
8. IKEA Antalya, also known as IKEA Antalya Store (wd:Q130014874): IKEA store in Antalya, Turkey
9. IKEA Ankara, also known as IKEA Ankara Store (wd:Q130014867): IKEA store in Ankara, Turkey
10. IKEA, also known as Ikea, Ingvar Kamprad Elmtaryd Agunnaryd (wd:Q54078): international furniture store chain

No other items found

No literal items found

[Assistant]
The search for entities labeled as "IKEA store" using the "instance of" property (`wdt:P31`) yielded several results, including specific IKEA stores. Now, we can use these entities to find the countries where these stores are located.

Let's write a SPARQL query to find the countries where these IKEA stores are located. We will use the property `wdt:P17` to get the country of each store.

Here is the SPARQL query:

```sparql
SELECT DISTINCT ?country WHERE {
  ?store wdt:P31 wd:Q50399787 .
  ?store wdt:P17 ?country .
}
```

This query will return the distinct countries where IKEA stores are located.

Let's execute this query.

[Tool]
Got 6 rows and 1 column:
| country                              |
| ------------------------------------ |
| United Kingdom (wd:Q145)             |
| People's Republic of China (wd:Q148) |
| Japan (wd:Q17)                       |
| Germany (wd:Q183)                    |
| Sweden (wd:Q34)                      |
| Turkey (wd:Q43)                      |

[Assistant]
The SPARQL query returned 6 distinct countries where IKEA stores are located. These countries are:

- United Kingdom (wd:Q145)
- People's Republic of China (wd:Q148)
- Japan (wd:Q17)
- Germany (wd:Q183)
- Sweden (wd:Q34)
- Turkey (wd:Q43)

However, this list might not be exhaustive. To ensure we have a complete list, we can count the number of distinct countries where IKEA stores are located.

Let's modify the query to count the number of distinct countries:

```sparql
SELECT (COUNT(DISTINCT ?country) AS ?count) WHERE {
  ?store wdt:P31 wd:Q50399787 .
  ?store wdt:P17 ?country .
}
```

This query will return the total number of distinct countries where IKEA stores are located.

Let's execute this query.

[Tool]
Got 1 row and 1 column:
| count       |
| ----------- |
| 6 (xsd:int) |

[Assistant]
The SPARQL query returned a count of 6 distinct countries where IKEA stores are located.

Therefore, the answer to the question "In how many countries has IKEA been established?" is 6.

Here is the final SPARQL query and the answer:

```sparql
SELECT (COUNT(DISTINCT ?country) AS ?count) WHERE {
  ?store wdt:P31 wd:Q50399787 .
  ?store wdt:P17 ?country .
}
```

Answer: IKEA has been established in 6 countries.

Let's finalize this with the answer function.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query is on the right track, but it seems to be using an incorrect entity for IKEA stores. The entity `wd:Q50399787` represents a specific type of IKEA store, but it might not cover all IKEA stores globally. Instead, consider using a more general entity or property that represents all IKEA stores. Additionally, ensure that the query returns the actual IRIs of the countries in addition to the count.

[Assistant]
Thank you for the feedback. Let's refine the query to ensure it covers all IKEA stores globally and returns the actual IRIs of the countries in addition to the count.

We can use the property `wdt:P170` (creator) to find entities that are created by IKEA, which should include all IKEA stores. Then, we can check the location of these entities using the `wdt:P17` property to get the country.

Here is the refined SPARQL query:

```sparql
SELECT (COUNT(DISTINCT ?country) AS ?count) (GROUP_CONCAT(DISTINCT ?country; SEPARATOR=", ") AS ?countries) WHERE {
  ?store wdt:P170 wd:Q54078 .
  ?store wdt:P17 ?country .
}
```

This query will count the number of distinct countries and also return the IRIs of the countries where IKEA stores are located.

Let's execute this query.

[Tool]
Got 1 row and 2 columns:
| count       | countries |
| ----------- | --------- |
| 0 (xsd:int) |           |

[Assistant]
It seems that the query did not return any results, which suggests that the property `wdt:P170` (creator) might not be the best choice for finding all IKEA stores.

Let's try another approach. We can use the property `wdt:P31` (instance of) to find entities that are instances of IKEA stores. We will use the entity `wd:Q50399787` (IKEA store) and then check the location of these entities using the `wdt:P17` property to get the country.

Here is the refined SPARQL query:

```sparql
SELECT (COUNT(DISTINCT ?country) AS ?count) (GROUP_CONCAT(DISTINCT ?country; SEPARATOR=", ") AS ?countries) WHERE {
  ?store wdt:P31 wd:Q50399787 .
  ?store wdt:P17 ?country .
}
```

This query will count the number of distinct countries and also return the IRIs of the countries where IKEA stores are located.

Let's execute this query again to ensure we get the correct results.

[Tool]
Got 1 row and 2 columns:
| count       | countries                                                           |
| ----------- | ------------------------------------------------------------------- |
| 6 (xsd:int) | http://www.wikidata.org/entity/Q...tp://www.wikidata.org/entity/Q34 |

[Assistant]
The refined SPARQL query returned the correct count of 6 distinct countries and the IRIs of those countries where IKEA stores are located.

Here is the final SPARQL query and the answer:

```sparql
SELECT (COUNT(DISTINCT ?country) AS ?count) (GROUP_CONCAT(DISTINCT ?country; SEPARATOR=", ") AS ?countries) WHERE {
  ?store wdt:P31 wd:Q50399787 .
  ?store wdt:P17 ?country .
}
```

Answer: IKEA has been established in 6 countries.

Let's finalize this with the answer function.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query is on the right track, but it should return the actual IRIs of the countries instead of concatenating them into a single string. Additionally, the human-readable answer should reflect the correct number of countries, which seems to be more than 6 based on the public knowledge about IKEA. Please refine the query to ensure all relevant countries are included.

[Assistant]
Thank you for the feedback. Let's refine the query to ensure it returns the actual IRIs of the countries and includes all relevant countries where IKEA has stores.

To achieve this, we will:
1. Ensure the query returns the actual IRIs of the countries.
2. Verify that the query captures all relevant countries where IKEA has stores.

Let's start by running a query that returns the distinct countries where IKEA stores are located, along with their IRIs.

Here is the refined SPARQL query:

```sparql
SELECT DISTINCT ?country WHERE {
  ?store wdt:P31 wd:Q50399787 .
  ?store wdt:P17 ?country .
}
```

This query will return the distinct countries where IKEA stores are located, along with their IRIs.

Let's execute this query to ensure we get the correct results.

[Tool]
Got 6 rows and 1 column:
| country                              |
| ------------------------------------ |
| United Kingdom (wd:Q145)             |
| People's Republic of China (wd:Q148) |
| Japan (wd:Q17)                       |
| Germany (wd:Q183)                    |
| Sweden (wd:Q34)                      |
| Turkey (wd:Q43)                      |

[Assistant]
The query returned 6 distinct countries where IKEA stores are located, along with their IRIs. However, based on public knowledge, IKEA operates in more than 6 countries. This suggests that the entity `wd:Q50399787` (IKEA store) might not be comprehensive enough to capture all IKEA stores globally.

To ensure we capture all relevant countries, we can try a different approach. We can look for entities that are related to IKEA and are labeled as stores or subsidiaries, and then check their locations.

Let's use the property `wdt:P170` (creator) to find entities created by IKEA and then check their locations using the `wdt:P17` property to get the country.

Here is the refined SPARQL query:

```sparql
SELECT DISTINCT ?country WHERE {
  ?entity wdt:P170 wd:Q54078 .
  ?entity wdt:P17 ?country .
}
```

This query will return the distinct countries where entities created by IKEA are located, along with their IRIs.

Let's execute this query to ensure we get the correct results.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the query using the `wdt:P170` (creator) property did not return any results, which suggests that this property might not be the best choice for finding all IKEA stores or related entities.

Given this, let's try another approach. We can look for entities that are labeled as "retail store" or "store" and are related to IKEA, and then check their locations using the `wdt:P17` property to get the country.

We can use the property `wdt:P31` (instance of) to find entities that are instances of retail stores and then filter those that are related to IKEA.

Here is the refined SPARQL query:

```sparql
SELECT DISTINCT ?country WHERE {
  ?store wdt:P31 wd:Q44182 .
  ?store wdt:P170 wd:Q54078 .
  ?store wdt:P17 ?country .
}
```

This query will return the distinct countries where entities that are instances of retail stores and are created by IKEA are located, along with their IRIs.

Let's execute this query to ensure we get the correct results.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?location WHERE {
  wd:Q1048 wdt:P20 ?location .
}

The Theatre of Pompey (wd:Q944814).

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

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

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

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

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

[User] Where was Caesar murdered?

[Assistant] Let's start by looking at some examples.

[Tool]
Example 1:
Question:
How many programming languages are there?

SPARQL:
SELECT ( COUNT( DISTINCT ?sub ) AS ?count ) WHERE {
  ?sub wdt:P31 / wdt:P279 * wd:Q9143 .
}

Using entities:
programming language, also known as coding language, computer language, computer programming, computer programming language (wd:Q9143): language for communicating instructions to a machine

Using properties:
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

Example 2:
Question:
How many James Bond movies do exist?

SPARQL:
SELECT ( COUNT( ?s1 ) as ?c ) WHERE {
  ?s1 wdt:P31 wd:Q11424 .
  ?s1 ?p wd:Q2009573 .
  FILTER ( ?p = wdt:P144 || ?p = wdt:P674 )
}

Using entities:
film, also known as cinematic work, moving picture, movie, motion pictures, motion picture (wd:Q11424): sequence of images that give the impression of movement, stored on film stock
James Bond, also known as Agent 007, double o seven, 007 (wd:Q2009573): secret agent, invented by novellist Ian Fleming, 00 Agent, spy

Using properties:
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

Example 3:
Question:
In what city is the Heineken brewery?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q854383 wdt:P176 / wdt:P159 ?uri .
}

Using entities:
Heineken, also known as Heineken Lager Beer, Heineken Pilsener (wd:Q854383): pale lager beer by the Dutch brewing company Heineken International

Using properties:
headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as wdt): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
manufacturer, also known as manufactured by, provider, provided by, product of, producer (wd:P176 as wdt): (main or final) manufacturer or producer of this product

[Assistant] Based on the examples, we need to identify the entity for Caesar and the property for the location of his murder. Let's first search for the entity representing 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, 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
3. Julius Caesar (wd:Q734950): 1953 film by Joseph L. Mankiewicz
4. Julius Caesar (wd:Q631476): lunar impact crater
5. Julius Caesar, also known as Cajus Julius Caesar (wd:Q3649980): 1914 film directed by Enrico Guazzoni
6. Julius Caesar (wd:Q1612412): 1970 film by Stuart Burge
7. Julius Caesar (wd:Q315616): 2002 TV miniseries directed by Uli Edel
8. Julius Caesar (wd:Q3534298): English cricketer (1830-1878), cricketer
9. Julius Caesar, also known as Sir Julius Caesar, Sir Julius Cæser, Julius Caesar Aldemare, Cesare Adelmare (wd:Q1712531): English judge, politician, jurist, judge
10. Julius Caesar, also known as Giulio Cesare (wd:Q3769550): 1909 film by Giovanni Pastrone

[Assistant] The correct entity for Julius Caesar is `wd:Q1048`. Next, let's find the property that indicates the location of his death.

[Tool]
Top 10 property alternatives:
1. place of death, also known as POD, location of death, killed in, deathplace, died in (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, location
2. place of burial, also known as interment, interment location, 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., location
3. manner of death, also known as type of death, nature of death, death manner, death type, circumstance 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.
4. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as wdt/p): dissolved, abolished or demolished date, date on which the subject died, end time
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. posthumous name, also known as Honor Death (wd:P1786 as wdt/p): name given to a person after death (East Asia)
7. killed by, also known as slaughtered by, slain by, shot dead by, murderer, murdered by (wd:P157 as wdt/p): person or organization who killed the subject, significant person
8. Find a Grave memorial ID, also known as FaG ID, FaGID, Find A Grave grave ID, Findagrave ID, Find A Grave memorial ID (wd:P535 as wdt/p): identifier of an individual's burial place in the Find a Grave database
9. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
10. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt/p): most specific known birth location of a person, animal or fictional character, location

No other items found

[Assistant]
The property for the place of death is `wdt:P20`. Now, let's construct a SPARQL query to find the location where Julius Caesar was murdered.

```sparql
SELECT ?location WHERE {
  wd:Q1048 wdt:P20 ?location .
}
```

Let's execute this query.

[Tool]
Got 1 row and 1 column:
| location                       |
| ------------------------------ |
| Theatre of Pompey (wd:Q944814) |

[Assistant]
The location where Julius Caesar was murdered is the Theatre of Pompey.

Here is the final SPARQL query and answer:

```sparql
SELECT ?location WHERE {
  wd:Q1048 wdt:P20 ?location .
}
```

Answer: The Theatre of Pompey (wd:Q944814).

[Tool] Stopped generation process

[User]
Feedback (status=done):
The provided answer is correct and complete. The SPARQL query correctly identifies the place of death of Julius Caesar, which is the Theatre of Pompey (wd:Q944814).


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?year WHERE {
  wd:Q23001951 wdt:P580 ?date .
  BIND( YEAR( ?date ) AS ?year )
}

Riverdale was first aired in 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

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

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

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

[User] What year was Riverdale first aired?

[Assistant] Let's start by looking at some examples.

[Tool]
Example 1:
Question:
What are the names of the Teenage Mutant Ninja Turtles?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P361 wd:Q1381762 .
}

Using entities:
Teenage Mutant Ninja Turtles, also known as Ninja Turtles, Teenage Mutant Hero Turtles, TMNT (wd:Q1381762): fictional team of four teenage anthropomorphic turtles

Using properties:
part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as wdt): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))

Example 2:
Question:
List all the musicals with music by Leonard Bernstein.

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P31 wd:Q2743 ; wdt:P86 wd:Q152505 .
}

Using entities:
Leonard Bernstein (wd:Q152505): American conductor and composer (1918–1990), film score composer, musicologist, conductor, composer, pianist
musical, also known as musical play, stage musical, musical theatre, musical theater, lyric drama (wd:Q2743): stage work that combines songs, music, spoken dialogue, acting, and dance

Using properties:
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
composer, also known as music by, written by, songwriter, musical score by, film score by (wd:P86 as wdt): person(s) who wrote the music [for lyricist, use "lyrics by" (P676)], creator

Example 3:
Question:
Give me all writers that won the Nobel Prize in literature.

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P106 wd:Q36180 ; wdt:P166 wd:Q37922 .
}

Using entities:
writer, also known as penwoman, writers, penwomen, penmen, penman (wd:Q36180): person who uses written words to communicate ideas and to produce literary works
Nobel Prize in Literature, also known as Nobel Literature Prize (wd:Q37922): one of five prizes established by Alfred Nobel

Using properties:
occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as wdt): award or recognition received by a person, organization or creative work

[Assistant] Based on the examples, we need to identify the entity for "Riverdale" and the property for "first aired". Let's start by searching for the entity "Riverdale".

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

[Assistant] The correct entity for the TV show "Riverdale" is `wd:Q23001951`. Next, let's find the property for "first aired" or "premiered".

[Tool]
Top 10 property alternatives:
1. location of first performance, also known as premiere, premiered at, premiere held at, premiere location, world premiere (wd:P4647 as pqn/prv/pq/wdt/ps/prn/psv/p/wdtn/pqv/psn/pr): location where a work was first debuted, performed or broadcasted, significant place
2. original broadcaster, also known as TV channel, television channel, radio station, radio network, original network (wd:P449 as pqn/prv/pq/wdt/ps/prn/psv/p/wdtn/pqv/psn/pr): network(s) or service(s) that originally broadcast a radio or television program, broadcast by
3. first appearance, also known as debut, present initially in, introduced in work, initial appearance, first film (wd:P4584 as pqn/prv/pq/wdt/ps/prn/psv/p/wdtn/pqv/psn/pr): work in which a fictional/mythical character or entity first appeared, present in work
4. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as pqn/prv/pq/wdt/ps/prn/psv/p/wdtn/pqv/psn/pr): date or point in time when a work was first published or released, point in time
5. introduced in, also known as added in, introduced by, first published in, first appeared in (wd:P10695 as pqn/prv/pq/wdt/ps/prn/psv/p/wdtn/pqv/psn/pr): work that introduced this concept
6. part of the series, also known as series, video game series, subseries, part of series, listed in (wd:P179 as pqn/prv/pq/wdt/ps/prn/psv/p/wdtn/pqv/psn/pr): series which contains the subject, part of
7. debut participant, also known as debut country, first-time participant, first appearance for (wd:P2318 as pqn/prv/pq/wdt/ps/prn/psv/p/wdtn/pqv/psn/pr): participant for whom this is their debut appearance in a series of events
8. broadcast by, also known as streamed by, TV station, TV network, TV channel, radio station (wd:P3301 as pqn/prv/pq/wdt/ps/prn/psv/p/wdtn/pqv/psn/pr): channel, network, website or service that broadcast this item over radio, television or the Internet
9. first performance by, also known as first performed by, premiered by, world premiere by, world premiere performed by, world premier performance by (wd:P11849 as pqn/prv/pq/wdt/ps/prn/psv/p/wdtn/pqv/psn/pr): performer or performing group for the first performance of a work
10. date of first performance, also known as time of first performance, world premiere date, world premiere, premiere date, premiere (wd:P1191 as pqn/prv/pq/wdt/ps/prn/psv/p/wdtn/pqv/psn/pr): date a work was first debuted, performed or live-broadcasted, publication date

[Assistant]
The property for "first aired" or "premiered" is likely `wdt:P577` (publication date). Let's construct a SPARQL query to find the year when Riverdale was first aired.

```sparql
SELECT ?year WHERE {
  wd:Q23001951 wdt:P577 ?date .
  BIND(YEAR(?date) AS ?year)
}
```

Now, let's execute this query.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the query did not return any results. Let's try another property that might be more specific to TV shows, such as `wdt:P449` (original broadcaster) to see if it provides the air date.

Let's check if `wdt:P449` can give us the air date.

```sparql
SELECT ?year WHERE {
  wd:Q23001951 wdt:P449 ?broadcaster .
  ?broadcaster wdt:P577 ?date .
  BIND(YEAR(?date) AS ?year)
}
```

Now, let's execute this query.

[Tool] Got no rows and 1 columns

[Assistant]
It appears that the `wdt:P449` property does not provide the air date directly. Let's try another approach by looking at the properties of the entity `wd:Q23001951` to see if there is a more suitable property for the air date.

Let's list the properties of the entity `wd:Q23001951`.

[User]
Feedback (status=retry):
The SPARQL query did not return any results because it tried to get the air date from the broadcaster entity, which is not the correct approach. Instead, we should directly query the `wd:Q23001951` entity for the property that represents the first air date. Let's use the `wdt:P580` property, which represents the start time of an event or period.

[Assistant]
Thank you for the feedback. Let's try using the `wdt:P580` property, which represents the start time of an event or period, to find the year when Riverdale was first aired.

Here is the updated SPARQL query:

```sparql
SELECT ?year WHERE {
  wd:Q23001951 wdt:P580 ?date .
  BIND(YEAR(?date) AS ?year)
}
```

Now, let's execute this query.

[Tool]
Got 1 row and 1 column:
| year           |
| -------------- |
| 2017 (xsd:int) |

[Assistant]
The query returned the year 2017, which is the year when Riverdale was first aired.

Here is the final SPARQL query and the answer:

```sparql
SELECT ?year WHERE {
  wd:Q23001951 wdt:P580 ?date .
  BIND(YEAR(?date) AS ?year)
}
```

Answer: Riverdale was first aired in 2017.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query effectively retrieves the year when Riverdale was first aired using the appropriate entity and property from Wikidata.


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) |

Empress

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

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

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

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

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

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

[Assistant] Let's start by looking at some examples.

[Tool]
Example 1:
Question:
In which countries can you pay using the West African CFA franc?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P38 wd:Q861690 .
}

Using entities:
West African CFA franc, also known as BCEAO franc (wd:Q861690): Currency of several West African countries

Using properties:
currency, also known as base currency, used money (wd:P38 as wdt): currency used by item, uses

Example 2:
Question:
How many missions does the Soyuz programme have?

SPARQL:
SELECT ( COUNT( DISTINCT ?uri ) AS ?c ) WHERE {
  ?uri wdt:P361 wd:Q207329
}

Using entities:
Soyuz programme (wd:Q207329): crewed spaceflight programme of the Soviet Union

Using properties:
part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as wdt): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))

Example 3:
Question:
Which television shows were created by Walt Disney?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P31 / wdt:P279 * wd:Q7725310 ; wdt:P170 wd:Q8704 .
}

Using entities:
series of creative works, also known as serial (wd:Q7725310): ordered set of creative works
Walt Disney (wd:Q8704): American animator and producer (1901–1966), television presenter, film producer, film director, caricaturist, manufacturer, screenwriter, illustrator, voice actor, film actor, producer, director, animator, inventor, painter, writer, actor

Using properties:
creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as wdt): maker of this creative work or other object (where no more specific property exists)
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

[Assistant]
None of these examples directly relate to our question about the female form of an emperor. However, we can take inspiration from the structure of these queries to construct our own.

To find the female form of an emperor, we need to identify the entity for "emperor" and then look for a property or entity that represents the female equivalent. Let's start by searching for the entity "emperor" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. emperor, also known as empress, imperator (wd:Q39018): type of monarch
2. monarch, also known as emperor, empress regnant, king, queen regnant (wd:Q116): person at the head of a monarchy
3. Emperor dragonfly, also known as Anax imperator, Blue Emperor, Emperor, Emperor Dragonfly (wd:Q527496): species of insect
4. Emperor of China, also known as Huang-ti, Huang Ti, Son of Heaven, thearch, Ti (wd:Q268218): sovereign of Imperial China
5. Emperor, also known as W. Kaiser (wd:Q264029): Norwegian black metal band
6. Emperor, also known as '' Emperor '' (wd:Q3724802): 2012 film by Peter Webber
7. Emperor (wd:Q1528170): Extended Play recording
8. Da Emperor, also known as Fasasi Mobolaji Gaius, Mobolaji Fasasi, The Emperor, Emperor, Etiemelo Empire Entertainment (wd:Q23771229): Nigerian Individuals rapper, actor and songwriter. He has family...ts in Ogun State. Da Emperor Raps in Yoruba, Pidgin and English., songwriter, rapper, actor
9. Shields Green, also known as Emperor (wd:Q7496187): man enslaved in United States, abolitionist, waiter
10. Emperor (wd:Q5373865): book series by Conn Iggulden

[Assistant]
The top result for "emperor" is `wd:Q39018`, which is described as "type of monarch" and includes "empress" as an alternative label. This suggests that "empress" is the female form of "emperor." To confirm this, let's check the properties and labels associated with `wd:Q39018`.

We can also search for the entity "empress" to ensure it is correctly linked to `wd:Q39018` and to gather more information.

First, let's list the triples for `wd:Q39018` to see if it provides any relevant information.

[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)                | Encyclopædia Britannica 11th edition (wd:Q867541)                        |
| 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)              | King of Kings (wd:Q938153)                                               |
| ...                 | ...                                            | ...                                                                      |

[Assistant]
From the triples, we can see that `wd:Q39018` (emperor) is a subclass of `wd:Q116` (monarch). This confirms that "emperor" is a type of monarch. However, we need to verify if "empress" is indeed the female form of "emperor."

Let's search for the entity "empress" to see if it is linked to `wd:Q39018` and to gather more information.

[Tool]
Top 10 entity alternatives:
1. emperor, also known as empress, imperator (wd:Q39018): type of monarch
2. Apaturopsis, also known as Empress (wd:Q773377): genus of insects
3. Canadian Pacific Air Lines, also known as CP, CPC, EMPRESS (wd:Q986941): former Canadian airline, acquired by Canadian Airlines
4. Empress, also known as Empress, AB, Empress, Alberta (wd:Q3396172): village of Alberta, Canada
5. chancellor, also known as rook–knight compound, wolf, rook-knight compound, marshall, marshal (wd:Q646324): fairy chess piece that can move like a rook or a knight
6. empress (wd:Q100387742): imperial title held by a female monarch or consort
7. Empress, also known as EmpressEvolution, Empress Evolution, C000005 (wd:Q116985828): video game cracker, cracker, hacker
8. Empress (wd:Q5374452): novel
9. empress regnant, also known as Empress, Empress Regnant, Maharani (wd:Q15264045): female monarch of Imperial Rank who rules an Empire in her own right
10. HMS Empress, also known as Empress, Empress seaplane carrier (wd:Q4354594): 1914 seaplane carrier

[Assistant]
The search for "empress" returns several results, but the most relevant one is `wd:Q100387742`, which is described as "imperial title held by a female monarch or consort." This aligns with our understanding that "empress" is the female form of "emperor."

To confirm this, let's list the triples for `wd:Q100387742` to see if it provides any additional context.

[Tool]
Got 148 rows and 3 columns, showing the first 10 rows below:
| subject                 | property                          | object                         |
| ----------------------- | --------------------------------- | ------------------------------ |
| empress (wd:Q100387742) | instance of (wdt:P31)             | noble title (wd:Q355567)       |
| empress (wd:Q100387742) | sex or gender (wdt:P21)           | female (wd:Q6581072)           |
| empress (wd:Q100387742) | subclass of (wdt:P279)            | monarch (wd:Q116)              |
| empress (wd:Q100387742) | has part(s) (wdt:P527)            | empress Dowager (wd:Q7409248)  |
| empress (wd:Q100387742) | different from (wdt:P1889)        | queen (wd:Q16511993)           |
| empress (wd:Q100387742) | topic's main category (wdt:P910)  | wd:Q7025235                    |
| empress (wd:Q100387742) | said to be the same as (wdt:P460) | emperor (wd:Q39018)            |
| empress (wd:Q100387742) | Commons gallery (wdt:P935)        | Empress                        |
| empress (wd:Q100387742) | honorific prefix (wdt:P511)       | Imperial Majesty (wd:Q3843034) |
| empress (wd:Q100387742) | male form of label (wdt:P3321)    | Emperor (en)                   |
| ...                     | ...                               | ...                            |

[Assistant]
The triples for `wd:Q100387742` (empress) provide strong evidence that "empress" is indeed the female form of "emperor." Specifically:

- `wd:Q100387742` is a subclass of `wd:Q116` (monarch).
- The `male form of label` property (`wdt:P3321`) for `wd:Q100387742` is "Emperor" in English.
- The `sex or gender` property (`wdt:P21`) is `wd:Q6581072` (female).

Based on this information, we can construct a simple SPARQL query to confirm that "empress" is the female form of "emperor" in English.

Let's execute the following SPARQL query:

```sparql
ASK WHERE {
  wd:Q100387742 wdt:P3321 "Emperor"@en .
}
```

This query will return `true` if "empress" is the female form of "emperor" in English.

[Tool] True

[Assistant]
The SPARQL query confirms that "empress" is indeed the female form of "emperor" in English.

Therefore, the answer to the question "What do you call a female form of an emperor in English?" is:

**Empress**

Here is the final SPARQL query and answer:

```sparql
ASK WHERE {
  wd:Q100387742 wdt:P3321 "Emperor"@en .
}
```

Answer: **True**

So, the female form of an emperor in English is "empress."

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query is not correctly formulated to retrieve the female form of an emperor. An ASK query is used here, which only returns a boolean value, but we need to retrieve the actual term. The query should select the label of the female form of the entity 'Emperor'. Additionally, the property used (P3321) is for the male form, while we need the female form (P2521).

[Assistant]
Thank you for the feedback. Let's correct the SPARQL query to retrieve the actual term for the female form of an emperor. We need to use the property `P2521` (female form of) instead of `P3321` (male form of).

Here is the corrected SPARQL query:

```sparql
SELECT ?femaleForm WHERE {
  wd:Q39018 wdt:P2521 ?femaleForm .
  ?femaleForm rdfs:label ?label .
  FILTER(LANG(?label) = "en")
}
```

This query will select the female form of the entity `wd:Q39018` (emperor) and retrieve its label in English.

Let's execute this query.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that the query did not return any results, which suggests that the property `P2521` (female form of) might not be directly linked to `wd:Q39018` (emperor) in the way we expected.

Given that the initial search for "emperor" and "empress" showed that `wd:Q100387742` is the entity for "empress" and is described as the female form of "emperor," we can directly use this entity to confirm the female form.

Let's construct a simpler query to retrieve the label of `wd:Q100387742` in English:

```sparql
SELECT ?label WHERE {
  wd:Q100387742 rdfs:label ?label .
  FILTER(LANG(?label) = "en")
}
```

This query will directly retrieve the label of the entity `wd:Q100387742` in English.

Let's execute this query.

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

[Assistant]
The SPARQL query successfully retrieved the label "Empress" for the entity `wd:Q100387742`, confirming that "empress" is indeed the female form of "emperor" in English.

Therefore, the answer to the question "What do you call a female form of an emperor in English?" is:

**Empress**

Here is the final SPARQL query and answer:

```sparql
SELECT ?label WHERE {
  wd:Q100387742 rdfs:label ?label .
  FILTER(LANG(?label) = "en")
}
```

Answer: **Empress**

Let's finalize this with the answer function.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query correctly retrieves the English label for the entity representing the female form of an emperor, which is 'Empress'. No further refinements are needed.