PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?industry WHERE {
  wd:Q170022 wdt:P1830 ?business .
  ?business wdt:P452 ?industry .
}

The House of Medici owns a business in the financial services industry.

[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 which industry does the House of Medici own a business?

[Assistant] To answer this question, we need to identify the House of Medici and then find out what kind of businesses they own, specifically the industry those businesses belong to. Let's start by searching for the House of Medici in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. House of Medici, also known as Medici, Medici family (wd:Q170022): royal family
2. Xtian de Medici, also known as House of Medici, Medici (wd:Q67090917): Luxury brand fashion house
3. House of Medici of Ottajano, also known as Medici di Ottaiano, Medici di Ottajano, Princes of Ottajano (wd:Q3922038): Italian noble family
4. House of Medici-Tornaquinci, also known as House of Medici Tornaquinci (wd:Q124362845): Tuscan noble family
5. Genius of House of Medici, also known as Genio di Casa Medici (wd:Q126003839): statue in Palazzo Pitti, Florence, Italy, by Bartolomeo Ammannati
6. House of Medici di Melegnano, also known as Medici di Marignano, Medici di Melegnano (wd:Q65127246): Italian noble family
7. coat of arms of the House of Medici, also known as the House of Medici coat of arms, House of Medici coat of arms (wd:Q3972987)
8. House of Medici del Vascello (wd:Q97160588): Italian noble family
9. The House of Medicine (wd:Q35655376): scientific article published on July 1967
10. The house of medicine (wd:Q70468758): scientific article published on 01 July 1972

[Assistant]
The most relevant entity for the House of Medici is the first one listed, which is `wd:Q170022`. Now, let's find out what kind of businesses the House of Medici owns and in which industries these businesses operate.

We will start by looking for properties related to ownership or business activities for the House of Medici.

[Tool]
Top 10 property alternatives:
1. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
2. 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
3. owner of, also known as owns, owns property, shareholder of (wd:P1830 as wdt/p): entities owned by the subject
4. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as wdt/p): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
5. member of, also known as band member of, membership, member of musical group, in musical group, be member of (wd:P463 as wdt/p): organization, club or musical group to which the subject belongs...ical position, such as a member of parliament (use P39 for that), part of
6. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
7. 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
8. Commons category, also known as category on Wikimedia Commons, Wikimedia Commons category, Wikimedia Commons cat, Commons cat, commonscat (wd:P373 as wdt/p): name of the Wikimedia Commons category containing files related to this item (without the prefix "Category:")
9. depicted by, also known as acted by, shown in, seen in, portrayed by, played by (wd:P1299 as wdt/p): object depicting this subject (object being creative works such as books, films, paintings)
10. 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)

No other items found

[Assistant]
The property `wd:P1830` (owner of) seems to be the most relevant for identifying businesses owned by the House of Medici. Let's use this property to find the businesses owned by the House of Medici and then determine the industries these businesses belong to.

First, we will execute a SPARQL query to find the businesses owned by the House of Medici.

```sparql
SELECT ?business WHERE {
  wd:Q170022 wdt:P1830 ?business .
}
```

Let's run this query.

[Tool]
Got 1 row and 1 column:
| business                 |
| ------------------------ |
| Medici Bank (wd:Q806191) |

[Assistant]
The House of Medici owns the Medici Bank (`wd:Q806191`). Next, we need to determine the industry in which the Medici Bank operates. We will search for properties related to the industry or type of business for the Medici Bank.

Let's look for properties related to the industry or type of business for the Medici Bank.

[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. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
3. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as wdt/p): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
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. 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)
6. partnership with, also known as works with, collaborates with, collaboration with (wd:P2652 as wdt/p): partnership (commercial or/and non-commercial) between this organization and another organization or institution
7. owned by, also known as belongs to, stockholders, stockholder, shareholders, shareholder (wd:P127 as wdt/p): owner of the subject
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. 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. Commons category, also known as category on Wikimedia Commons, Wikimedia Commons category, Wikimedia Commons cat, Commons cat, commonscat (wd:P373 as wdt/p): name of the Wikimedia Commons category containing files related to this item (without the prefix "Category:")

No other items found

[Assistant]
The property `wd:P452` (industry) is the most relevant for determining the industry in which the Medici Bank operates. Let's execute a SPARQL query to find the industry of the Medici Bank.

```sparql
SELECT ?industry WHERE {
  wd:Q806191 wdt:P452 ?industry .
}
```

Let's run this query.

[Tool]
Got 1 row and 1 column:
| industry                        |
| ------------------------------- |
| financial services (wd:Q837171) |

[Assistant]
The Medici Bank operates in the financial services industry (`wd:Q837171`).

Therefore, the House of Medici owns a business in the financial services industry.

Here is the final SPARQL query and answer:

```sparql
SELECT ?industry WHERE {
  wd:Q170022 wdt:P1830 ?business .
  ?business wdt:P452 ?industry .
}
```

Answer: The House of Medici owns a business in the financial services industry.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The provided SPARQL query correctly identifies the industry in which the House of Medici owns a business. The query returns the IRI for the financial services industry, which is the expected result. No further refinements are necessary.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?island WHERE {
  wd:Q3630 wdt:P706 ?island
}

Java

[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] On which island is the Indonesian capital located?

[Assistant]
To answer the question about the island where the Indonesian capital is located, we need to identify the following:

1. The entity representing Indonesia.
2. The property that indicates the capital city of a country.
3. The entity representing the capital city of Indonesia.
4. The property that indicates the island where a city is located.
5. The entity representing the island where the capital city is located.

Let's start by searching for the entity representing Indonesia.

[Tool]
Top 10 entity alternatives:
1. Indonesia, also known as id, ID, IDN, INA, Republic of Indonesia (wd:Q252): island country in Southeast Asia and Oceania
2. Nusantara, also known as Indonesian Islands, Old Javanese name for Indonesia, Nusantara Islands, Nusantara Archipelago, Indonesian Archipelago (wd:Q49332): Old Javanese term for the archipelagic Majapahit territory
3. Indonesia, also known as Indonesia Raya (wd:Q6025895): song
4. Indonesia, also known as Kota Palopo, Palopo (wd:Q12497996): village in Palopo Kota Palopo Sulawesi Selatan, South Sulawesi, Indonesia
5. indonesia (wd:Q97375377)
6. Indonesia (wd:Q20203516): 1981 single by Sandra Reemer
7. Indonesia at the 1982 Asian Games, also known as Indonesia (wd:Q16927493): sporting event delegation
8. Indonesia (wd:Q43379569): board game
9. INDONESIA (wd:Q127048047): hymn tune
10. Indonesia. (wd:Q30744720): scientific article

[Assistant] The correct entity for Indonesia is `wd:Q252`. Next, we need to find the property that indicates the capital city of a country. We can search for this property using the term "capital."

[Tool]
Top 10 property alternatives:
1. capital of, also known as national capital of, parish seat of, provincial capital of, seat of, state capital (wd:P1376 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): country, state, department, canton or other administrative division of which the municipality is the governmental seat, located in the administrative territorial entity
2. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): seat of government of a country, province, state or other type of administrative territorial entity
3. capital cost, also known as budget, cost, unit cost (wd:P2130 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): amount of money spent on building or producing an object
4. authorised capital, also known as authorized capital (wd:P12651 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): maximum amount of share capital that the company is authorised to issue to shareholders
5. number of matches played/races/starts, also known as gp, starts, races, number of games played, mp (wd:P1350 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): matches or games a player or a team played during an event. Also...matches a player officially appeared in during the whole career.
6. uses capitalization for, also known as capitalises, capitalizes, uses capitalisation for (wd:P6106 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): lexical classes and subclasses of words as well as other uses in the language where the first letter is written as a capital letter
7. market capitalization, also known as market cap, market capitalisation (wd:P2226 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): total value of issued shares by a publicly traded company
8. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
9. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
10. nominal share capital (wd:P8247 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): total of the nominal values of the issued ordinary and preference shares of the entity

[Assistant] The property that indicates the capital city of a country is `wd:P36`. Now, let's use this property to find the capital city of Indonesia.

[Tool]
Got 1 row and 1 column:
| capital            |
| ------------------ |
| Jakarta (wd:Q3630) |

[Assistant] The capital city of Indonesia is Jakarta (`wd:Q3630`). Next, we need to find the property that indicates the island where a city is located. We can search for this property using the term "island" or "located on island."

[Tool]
Top 10 property alternatives:
1. located in/on physical feature, also known as located on the terrain feature, location (terrain feature), loc (terr), on, on geographical feature (wd:P706 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): located on the specified (geo)physical feature. Should not be us...nly political/administrative (P131) or a mountain range (P4552)., location, part of
2. located in or next to body of water, also known as located on body of water, ocean, on bay, next to lake, on coast of (wd:P206 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): body of water on or next to which a place is located, location
3. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
4. day in year for periodic occurrence, also known as date, day, day in year, day of periodic occurrence, day of year (wd:P837 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): when a specific holiday or periodic event occurs. Can be used as property or qualifier
5. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
6. significant place, also known as sign. place, significant location, significant landmark, place associated with the subject, notable place (wd:P7153 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): significant or notable places associated with the subject, location
7. located in the statistical territorial entity, also known as located in statistical territorial entity, statistical territorial entity (wd:P8138 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): statistical territorial entity in which a place is located or is...nty is split into or part of several regions: add several values, location
8. located in protected area, also known as located in provincial park, located in state park, located in territorial park, located in wildlife refuge, located in wildlife sanctuary (wd:P3018 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): protected area where a place or geographical feature is physically located, located in the administrative territorial entity
9. territory overlaps, also known as partially overlaps, partially coincident with, partly coincident with, partly located in territorial entity, partly overlaps (wd:P3179 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): part or all of the area associated with (this) entity overlaps part or all of the area associated with that entity, partially coincident with
10. set in environment, also known as set in location, takes place in, setting location, playing in, narrative set in (wd:P8411 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): environment (geographic feature, building type, etc.) the narrative work is set in, significant place, depicts

[Assistant] The property that indicates the island where a city is located is `wd:P706`. Now, let's use this property to find the island where Jakarta is located.

[Tool]
Got 1 row and 1 column:
| island          |
| --------------- |
| Java (wd:Q3757) |

[Assistant]
The Indonesian capital, Jakarta, is located on the island of Java (`wd:Q3757`).

Now, let's formulate the final SPARQL query to answer the user's question.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct and returns the expected result. The answer provided is accurate and complete.


PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( ?year ) AS ?count ) WHERE {
  {
    wd:Q169452 p:P166 ?statement1 .
    ?statement1 ps:P166 wd:Q674359 ; pq:P585 ?year .
  }
  .
  {
    wd:Q25369 p:P166 ?statement2 .
    ?statement2 ps:P166 wd:Q674359 ; pq:P585 ?year .
  }
}

Got 1 row and 1 column:
| count       |
| ----------- |
| 4 (xsd:int) |

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

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

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

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

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

[User] How many All-NBA Team awards have Shaquille O'Neal and Kobe Bryant received in the same year?

[Assistant]
To answer this question, we need to identify the entities for Shaquille O'Neal and Kobe Bryant, and then find the property that represents the All-NBA Team award. We also need to check if there is a way to filter the results by year and count the occurrences where both players received the award in the same year.

Let's start by searching for the entities of Shaquille O'Neal and Kobe Bryant.

[Tool]
Top 10 entity alternatives:
1. Shaquille O'Neal, also known as Shaquille O’Neal, Shaquille Rashaun O'Neal, Shaq O'Neal, Shaquille Rashaun O’Neal, Shaq (wd:Q169452): American basketball player, real estate entrepreneur, television producer, sports commentator, basketball player, businessperson, film producer, screenwriter, film actor, Thai boxer, podcaster, singer, rapper, actor
2. Shaquille O'Neal (wd:Q125446160): episode of All That (S5 E3)
3. Shaquille Cleare, also known as Shaquille O'Neal Cleare (wd:Q61953486): college basketball player (2013–2017) Maryland; Texas, basketball player
4. Shaquille O'Neal Motors (wd:Q114535400): episode of Fresh Off the Boat (S2 E3)
5. Shaq Belson, also known as Shaquille Belson, Shaquille O'Neal Belson (wd:Q106725566): American American football player, American football player
6. Shaquille Allen, also known as Shaquille O'Neal Allen (wd:Q106725550): American football player
7. Upload with Shaquille O'Neal (wd:Q7898386): American comedy television series
8. Statue of Shaquille O'Neal (wd:Q114363921): sculpture in Los Angeles, California, U.S
9. The Best of Shaquille O'Neal (wd:Q7717219): album by Shaquille O'Neal
10. A Message from Shaquille O'Neal (wd:Q110058550): sketch from Saturday Night Live

[Tool]
Top 10 entity alternatives:
1. Kobe Bryant, also known as Kobe Bean Bryant, Kobe B. Bryant, Kobe, KB24, Black Mamba (wd:Q25369): American basketball player (1978–2020), professional athlete, basketball player, screenwriter
2. Kobe Bryant Day (wd:Q98969272): proposed Federal Holiday
3. death of Kobe Bryant, also known as Kobe Bryant death, Kobe Bryant's death (wd:Q83737550): 26 January 2020 death of Kobe Bryant in helicopter crash
4. Kobe Bryant Boulevard (wd:Q107299206): proposed street renaming in Los Angeles
5. NBA All-Star Game Kobe Bryant Most Valuable Player Award, also known as Kobe Bryant Most Valuable Player Award, Kobe Bryant MVP Award, NBA All-Star Game Kobe Bryant MVP Award (wd:Q31391): basketball award of the National Basketball Association (NBA)
6. Kobe Bryant China Fund (wd:Q6424297): for education, sports, and culture programs for children from China and the United States
7. Statue of Kobe Bryant (wd:Q125101336): sculpture in Los Angeles, California, U.S
8. Kobe Bryant/Ice Cube (wd:Q125446155): episode of All That (S4 E19)
9. Kobe Bryant sexual assault case (wd:Q6424298): legal case
10. Kobe Bryant in NBA Courtside (wd:Q3198120): 1998 video game

[Assistant]
We have identified the correct entities for Shaquille O'Neal and Kobe Bryant:

- Shaquille O'Neal: `wd:Q169452`
- Kobe Bryant: `wd:Q25369`

Next, we need to find the property that represents the All-NBA Team award. Let's search for properties related to "All-NBA Team" or "NBA award".

[Tool]
Top 10 property alternatives:
1. Basketball Reference international player ID, also known as BRCIP, Basketball Reference player ID, Basketball-Reference.com Europe player ID, Basketball-Reference.com international player ID (wd:P4790 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): identifier for a basketball player in a non-U.S. league on Basketball-Reference.com
2. Basketball Reference NBA player ID, also known as Basketball-Reference.com NBA player ID, BRCNBA (wd:P2685 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): identifier for a NBA player on the Basketball Reference website
3. NBA.com player ID (wd:P3647 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): identifier for a basketball player on the National Basketball Association's website
4. Hoopla artist ID, also known as hoopladigital.com (wd:P6868 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): identifier for an individual on Hoopla
5. Eurobasket.com player ID, also known as Eurobasket.com ID, eurobasket.com identifier (wd:P3527 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): ID for a basketball player at Eurobasket.com
6. Basketball Reference NBA coach ID, also known as Basketball-Reference.com NBA coach ID (wd:P4718 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): identifier for a NBA coach on the Basketball Reference website
7. ESPN.com NBA player ID, also known as ESPN NBA player ID (wd:P3685 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): identifier for a National Basketball Association player at ESPN.com
8. Basketball Reference NBA G League player ID, also known as Basketball-Reference.com NBA G League player ID, Basketball-Reference.com NBDL player ID, BRCNBAG (wd:P4744 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): identifier for an NBA G League (formerly NBDL) player on the Basketball Reference website
9. FIBA.com player ID (archived), also known as FIBA.com player ID, FIBA ID, FIBA identifier, FIBA player ID (wd:P3542 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): identifier for a basketball player at archive.FIBA.com
10. FIBA.basketball player ID, also known as FIBA.basketball ID, FIBA player ID, FIBA identifier, FIBA ID (wd:P12338 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): identifier for a basketball player at www.FIBA.basketball

[Tool]
Top 10 property alternatives:
1. statistical leader, also known as most valuable player, MVP, record setter, statistical leader (wd:P3279 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): leader of a sports tournament in one of statistical qualities (points, assists, rebounds etc.).
2. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): award or recognition received by a person, organization or creative work
3. conferred by, also known as presented by, officiated by, issued by, granted by, given by (wd:P1027 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): person or organization who grants an award, certification, grant, or role
4. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): winner of a competition or similar event, not to be used for awa...ssibly qualified with "for work" (P1686)) or for wars or battles, participating team, participant
5. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
6. NBA.com player ID (wd:P3647 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): identifier for a basketball player on the National Basketball Association's website
7. trophy awarded, also known as cup awarded, diploma awarded, medal awarded (wd:P4622 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): trophy awarded at the end of a selection process or of a competi...winners or finishers under the form of a cup, a medal, a diploma
8. Basketball Reference NBA player ID, also known as Basketball-Reference.com NBA player ID, BRCNBA (wd:P2685 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): identifier for a NBA player on the Basketball Reference website
9. Basketball Reference international player ID, also known as BRCIP, Basketball Reference player ID, Basketball-Reference.com Europe player ID, Basketball-Reference.com international player ID (wd:P4790 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): identifier for a basketball player in a non-U.S. league on Basketball-Reference.com
10. Hoopla artist ID, also known as hoopladigital.com (wd:P6868 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): identifier for an individual on Hoopla

[Assistant]
The search for "All-NBA Team" did not yield a relevant property. However, the search for "NBA award" returned the property "award received" (`wd:P166`), which seems to be the most relevant for our purpose.

Next, we need to find the specific award for the All-NBA Team. We can search for objects of the property `wdt:P166` that are related to "All-NBA Team".

Let's search for the All-NBA Team award using the `search_object_of_property` function.

[Tool]
Top 10 entity alternatives:
1. All-NBA Team (wd:Q674359): National Basketball Association honor
2. captain, also known as team captain (wd:Q584540): member of a sports team
3. MTV Movie Award for Best On-Screen Duo, also known as Best Team (wd:Q4220900)
4. All-America, also known as All-America team (wd:Q762853): American amateur athletic award
5. All-Euroleague Team (wd:Q1987426): An basketball award for top-10 players
6. All-MLB Team, also known as All-MLB (wd:Q79241823): annual Major League Baseball honor
7. All-WNBA Team (wd:Q4728342): Annual selection of best players in the league
8. All-ACB Team (wd:Q1388149): award for basketball league in Spain
9. All-Australian team (wd:Q4727805): all-star team of Australian rules footballers
10. NBA All-Defensive Team (wd:Q1465181): annual National Basketball Association honor

No other items found

No literal items found

[Assistant]
We have identified the All-NBA Team award as `wd:Q674359`.

Now, we need to construct a SPARQL query to find the years in which both Shaquille O'Neal and Kobe Bryant received the All-NBA Team award. We will use the `wdt:P166` property to link the players to the award and the `pq:P585` property to get the year of the award.

Let's start by writing a simple query to find the years when Shaquille O'Neal received the All-NBA Team award.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the initial query did not return any results. This might be because the `pq:P585` property is not directly linked to the `wdt:P166` property for the All-NBA Team award. Instead, we need to check if there are any qualifiers on the `wdt:P166` statement that provide the year.

Let's try a more detailed query to find the years when Shaquille O'Neal received the All-NBA Team award, including the qualifiers.

[Tool]
Got 8 rows and 1 column:
| year                                |
| ----------------------------------- |
| 2006-01-01T00:00:00Z (xsd:dateTime) |
| 2002-01-01T00:00:00Z (xsd:dateTime) |
| 1998-01-01T00:00:00Z (xsd:dateTime) |
| 2004-01-01T00:00:00Z (xsd:dateTime) |
| 2003-01-01T00:00:00Z (xsd:dateTime) |
| 2000-01-01T00:00:00Z (xsd:dateTime) |
| 2005-01-01T00:00:00Z (xsd:dateTime) |
| 2001-01-01T00:00:00Z (xsd:dateTime) |

[Assistant] The query successfully returned the years when Shaquille O'Neal received the All-NBA Team award. Now, let's write a similar query to find the years when Kobe Bryant received the All-NBA Team award.

[Tool]
Got 11 rows and 1 column, showing the first 5 and last 5 rows below:
| year                                |
| ----------------------------------- |
| 2008-01-01T00:00:00Z (xsd:dateTime) |
| 2004-01-01T00:00:00Z (xsd:dateTime) |
| 2003-01-01T00:00:00Z (xsd:dateTime) |
| 2012-01-01T00:00:00Z (xsd:dateTime) |
| 2013-01-01T00:00:00Z (xsd:dateTime) |
| ...                                 |
| 2011-01-01T00:00:00Z (xsd:dateTime) |
| 2006-01-01T00:00:00Z (xsd:dateTime) |
| 2007-01-01T00:00:00Z (xsd:dateTime) |
| 2002-01-01T00:00:00Z (xsd:dateTime) |
| 2010-01-01T00:00:00Z (xsd:dateTime) |

[Assistant]
The query successfully returned the years when Kobe Bryant received the All-NBA Team award. Now, we need to combine these results to find the years when both Shaquille O'Neal and Kobe Bryant received the All-NBA Team award.

We can achieve this by using a `FILTER` clause to match the years from both sets of results.

Let's write the combined query.

[Tool]
Got 4 rows and 1 column:
| year                                |
| ----------------------------------- |
| 2002-01-01T00:00:00Z (xsd:dateTime) |
| 2003-01-01T00:00:00Z (xsd:dateTime) |
| 2004-01-01T00:00:00Z (xsd:dateTime) |
| 2006-01-01T00:00:00Z (xsd:dateTime) |

[Assistant]
The combined query has successfully returned the years when both Shaquille O'Neal and Kobe Bryant received the All-NBA Team award. These years are 2002, 2003, 2004, and 2006.

To answer the original question, we need to count the number of such years. Since the query already returns the years, we can simply count the number of rows in the result.

The number of All-NBA Team awards that Shaquille O'Neal and Kobe Bryant received in the same year is 4.

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is well-constructed and returns the correct number of years in which both Shaquille O'Neal and Kobe Bryant received All-NBA Team awards. The query correctly uses the entities and properties from Wikidata, and the result matches the expected answer.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?prize WHERE {
  wd:Q7197 wdt:P1411 ?prize .
}

The Nobel Prize in Literature.

[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] For what literature prize was Simone de Beauvoir nominated?

[Assistant] To answer the question about the literature prize for which Simone de Beauvoir was nominated, we need to identify the entity for Simone de Beauvoir and then look for properties related to nominations or awards. Let's start by searching for Simone de Beauvoir in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Simone de Beauvoir (wd:Q7197): French philosopher, social theorist and activist (1908–1986), political philosopher, women letter writer, philosophy teacher, political activist, literary critic, autobiographer, philosopher, journalist, novelist, feminist, essayist, diarist, author, writer
2. Simone de Beauvoir (wd:Q66049034): 1979 documentary film directed by Josée Dayan
3. Simone de Beauvoir (wd:Q87280632): episode of In Our Time
4. Simone de Beauvoir Prize (wd:Q2316171)
5. Simone de Beauvoir Park, also known as Fontainas Park (wd:Q23796565): park in Brussels, Belgium
6. allée Simone de Beauvoir (wd:Q111916916): alley in Arcueil, France
7. mail Simone de Beauvoir (wd:Q113391499): street in Bobigny, France
8. place Simone de Beauvoir (wd:Q113414051): square in Stains, en Seine-Saint-Denis
9. rue Simone de Beauvoir (wd:Q111302129): street in Bondy, France
10. rue Simone de Beauvoir (wd:Q111847967): street in Limeil-Brévannes, France

[Assistant]
The top result for Simone de Beauvoir is `wd:Q7197`, which represents the French philosopher, social theorist, and activist. Next, we need to find out if there are any properties related to nominations or awards for this entity. We can search for properties related to "nomination" or "award" for Simone de Beauvoir.

Let's search for properties related to nominations or awards for Simone de Beauvoir.

[Tool]
Top 10 property alternatives:
1. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as wdt/p): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
2. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as wdt/p): award or recognition received by a person, organization or creative work
3. Nobel Prize People Nomination ID (wd:P3360 as wdt/p): identifier for a person who nominated someone, or who was nominated, for a Nobel Prize
4. member of, also known as band member of, membership, member of musical group, in musical group, be member of (wd:P463 as wdt/p): organization, club or musical group to which the subject belongs...ical position, such as a member of parliament (use P39 for that), part of
5. significant person, also known as significant people, sigper, sign. person, relevant person, relevant people (wd:P3342 as wdt/p): person linked to the item in any possible way
6. signature, also known as signature image, image of signature, facsimiles, autograph (wd:P109 as wdt/p): image of a person's signature, image
7. occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt/p): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
8. name, also known as also known as, referred to as, label, known as, be known as (wd:P2561 as wdt/p): name the subject is known by; preferably use a more specific subproperty if available
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. influenced by, also known as favorite player, has influence, informed by, role model (wd:P737 as wdt/p): this person, idea, etc. is informed by that other person, idea, etc., e.g. “Heidegger was influenced by Aristotle”

No other items found

[Assistant]
The top relevant property for our query is `wdt:P1411` (nominated for). This property indicates the award nominations received by a person. Let's use this property to find out the literature prize for which Simone de Beauvoir was nominated.

We will execute a SPARQL query to retrieve the literature prize for which Simone de Beauvoir was nominated.

```sparql
SELECT ?prize WHERE {
  wd:Q7197 wdt:P1411 ?prize .
}
```

Let's run this query.

[Tool]
Got 1 row and 1 column:
| prize                                 |
| ------------------------------------- |
| Nobel Prize in Literature (wd:Q37922) |

[Assistant]
The SPARQL query returned that Simone de Beauvoir was nominated for the Nobel Prize in Literature.

Therefore, the literature prize for which Simone de Beauvoir was nominated is the Nobel Prize in Literature.

Here is the final SPARQL query and answer:

```sparql
SELECT ?prize WHERE {
  wd:Q7197 wdt:P1411 ?prize .
}
```

Answer: The Nobel Prize in Literature.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query correctly identifies the Nobel Prize in Literature as the prize for which Simone de Beauvoir was nominated. The query is well-formed and returns the IRI of the prize, which is sufficient for the given question.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?movie WHERE {
  wd:Q169604 wdt:P527 ?movie .
}

The movies that belong to the Cornetto trilogy are The World's End, Hot Fuzz, and Shaun of the Dead.

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

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

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

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

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

[User] Which movies belong to the Cornetto trilogy ?

[Assistant] To answer the question about which movies belong to the Cornetto trilogy, we need to identify the entity representing the Cornetto trilogy and then find the movies associated with it. Let's start by searching for the entity "Cornetto trilogy" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Three Flavours Cornetto trilogy, also known as Blood and Ice Cream trilogy, Cornetto trilogy, The Cornetto Trilogy (wd:Q169604): 2004–2013 three films directed by Edgar Wright
2. trilogy (wd:Q149010): set of three works of art that are connected
3. cornett, also known as zink, cornetto (wd:Q204638): early wind instrument with a cup mouthpiece
4. Trilogy (wd:Q930723): 1972 studio album by Emerson, Lake & Palmer
5. Cornetto, also known as Drumstick (ice cream) (wd:Q1899311): type of ice cream
6. Trilogy (wd:Q1753107): Yngwie Malmsteen studio album
7. Trilogy (wd:Q7842079): 2012 compilation album by the Weeknd
8. cornetto (wd:Q15629893): pastry similar to a croissant
9. Trilogy (wd:Q1041486): ATB album
10. Cornetto (wd:Q5171700): human settlement in Città di Castello, Province of Perugia, Umbria, Italy

[Assistant] The top result for "Cornetto trilogy" is `wd:Q169604`, which is described as the 2004–2013 three films directed by Edgar Wright. This seems to be the correct entity. Next, we need to find the movies that are part of this trilogy. We can do this by looking for properties that link movies to the Cornetto trilogy. Let's search for properties related to "part of" or "trilogy" for the entity `wd:Q169604`.

[Tool]
Top 10 property alternatives:
1. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as wdt/p): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
2. distributed by, also known as distributor (wd:P750 as wdt/p): distributor of a creative work; distributor for a record label; news agency; film distributor
3. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as wdt/p): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
4. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as wdt/p): date or point in time when a work was first published or released, point in time
5. 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)
6. screenwriter, also known as story by, teleplay by, video game writer, writer (of screenplays), writing credits (wd:P58 as wdt/p): person(s) who wrote the script for subject item, film crew member, author
7. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as wdt/p): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
8. original language of film or TV show, also known as media language, original language, language of the original work, 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., language of work or name
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. producer, also known as music producer, record producer, produced by, film producer, creative producer (wd:P162 as wdt/p): person(s) who produced the film, musical work, theatrical produc...etc.) [for production company, use P272, video games - use P178]

No other items found

[Assistant]
The property `wd:P527` (has part) seems to be the most relevant for finding the movies that are part of the Cornetto trilogy. Let's use this property to construct a SPARQL query to find the movies that are part of the Cornetto trilogy.

Here is the initial SPARQL query:

```sparql
SELECT ?movie WHERE {
  wd:Q169604 wdt:P527 ?movie .
}
```

Let's execute this query to see the results.

[Tool]
Got 3 rows and 1 column:
| movie                          |
| ------------------------------ |
| The World's End (wd:Q722379)   |
| Hot Fuzz (wd:Q729788)          |
| Shaun of the Dead (wd:Q858724) |

[Assistant]
The SPARQL query returned the three movies that are part of the Cornetto trilogy:

1. **The World's End** (`wd:Q722379`)
2. **Hot Fuzz** (`wd:Q729788`)
3. **Shaun of the Dead** (`wd:Q858724`)

These are the movies that belong to the Cornetto trilogy. Here is the final SPARQL query and the answer:

```sparql
SELECT ?movie WHERE {
  wd:Q169604 wdt:P527 ?movie .
}
```

Answer: The movies that belong to the Cornetto trilogy are **The World's End**, **Hot Fuzz**, and **Shaun of the Dead**.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct and returns the expected results. It identifies the movies that are part of the Cornetto trilogy using the appropriate entity and property. The human-readable answer is also accurate and complete.


PREFIX p: <http://www.wikidata.org/prop/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX wd: <http://www.wikidata.org/entity/>
ASK WHERE {
  wd:Q169452 p:P54 ?shaqStatement .
  ?shaqStatement pq:P580 ?shaqStart .
  ?shaqStatement pq:P582 ?shaqEnd .
  FILTER ( ?shaqStart <= '2000-12-31' ^^ xsd:date && ?shaqEnd >= '2000-01-01' ^^ xsd:date ) .
  ?shaqStatement ps:P54 ?team .
  wd:Q25369 p:P54 ?kobeStatement .
  ?kobeStatement pq:P580 ?kobeStart .
  ?kobeStatement pq:P582 ?kobeEnd .
  FILTER ( ?kobeStart <= '2000-12-31' ^^ xsd:date && ?kobeEnd >= '2000-01-01' ^^ xsd:date ) .
  ?kobeStatement ps:P54 ?team
}

True

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

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

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

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

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

[User] Was Shaquille O'Neal the teammate of Kobe Bryant in the year of 2000?

[Assistant]
To answer this question, we need to find out if Shaquille O'Neal and Kobe Bryant were teammates in the year 2000. We will start by identifying the entities for Shaquille O'Neal and Kobe Bryant, and then look for their team affiliations during the year 2000.

First, let's search for the entities of Shaquille O'Neal and Kobe Bryant.

[Tool]
Top 10 entity alternatives:
1. Shaquille O'Neal, also known as Shaquille O’Neal, Shaquille Rashaun O'Neal, Shaq O'Neal, Shaquille Rashaun O’Neal, Shaq (wd:Q169452): American basketball player, real estate entrepreneur, television producer, sports commentator, basketball player, businessperson, film producer, screenwriter, film actor, Thai boxer, podcaster, singer, rapper, actor
2. Shaquille O'Neal (wd:Q125446160): episode of All That (S5 E3)
3. Shaquille Cleare, also known as Shaquille O'Neal Cleare (wd:Q61953486): college basketball player (2013–2017) Maryland; Texas, basketball player
4. Shaquille O'Neal Motors (wd:Q114535400): episode of Fresh Off the Boat (S2 E3)
5. Shaq Belson, also known as Shaquille Belson, Shaquille O'Neal Belson (wd:Q106725566): American American football player, American football player
6. Shaquille Allen, also known as Shaquille O'Neal Allen (wd:Q106725550): American football player
7. Upload with Shaquille O'Neal (wd:Q7898386): American comedy television series
8. Statue of Shaquille O'Neal (wd:Q114363921): sculpture in Los Angeles, California, U.S
9. The Best of Shaquille O'Neal (wd:Q7717219): album by Shaquille O'Neal
10. A Message from Shaquille O'Neal (wd:Q110058550): sketch from Saturday Night Live

[Tool]
Top 10 entity alternatives:
1. Kobe Bryant, also known as Kobe Bean Bryant, Kobe B. Bryant, Kobe, KB24, Black Mamba (wd:Q25369): American basketball player (1978–2020), professional athlete, basketball player, screenwriter
2. Kobe Bryant Day (wd:Q98969272): proposed Federal Holiday
3. death of Kobe Bryant, also known as Kobe Bryant death, Kobe Bryant's death (wd:Q83737550): 26 January 2020 death of Kobe Bryant in helicopter crash
4. Kobe Bryant Boulevard (wd:Q107299206): proposed street renaming in Los Angeles
5. NBA All-Star Game Kobe Bryant Most Valuable Player Award, also known as Kobe Bryant Most Valuable Player Award, Kobe Bryant MVP Award, NBA All-Star Game Kobe Bryant MVP Award (wd:Q31391): basketball award of the National Basketball Association (NBA)
6. Kobe Bryant China Fund (wd:Q6424297): for education, sports, and culture programs for children from China and the United States
7. Statue of Kobe Bryant (wd:Q125101336): sculpture in Los Angeles, California, U.S
8. Kobe Bryant/Ice Cube (wd:Q125446155): episode of All That (S4 E19)
9. Kobe Bryant sexual assault case (wd:Q6424298): legal case
10. Kobe Bryant in NBA Courtside (wd:Q3198120): 1998 video game

[Assistant]
We have identified the correct entities for Shaquille O'Neal and Kobe Bryant:

- Shaquille O'Neal: `wd:Q169452`
- Kobe Bryant: `wd:Q25369`

Next, we need to find out if they were teammates in the year 2000. To do this, we will look for their team affiliations during that year. We will search for the property that indicates team affiliation and then check if they were on the same team in 2000.

Let's search for the property that indicates team affiliation.

[Tool]
Top 10 property alternatives:
1. supported sports team, also known as Fan of sports team, team supported, Supports sports team, Sports team supported, is a fan of team (wd:P6758 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): sports team for which a person or a group is a supporter
2. affiliation, also known as association, sister society, affiliated with, affiliated to, associated with (wd:P1416 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): organization that a person or organization is affiliated with (not necessarily member of or employed by)
3. member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): sports teams or clubs that the subject represents or represented, member of
4. National-Football-Teams.com team ID, also known as National-Football-Teams.com national team ID, NFT team ID, N-F-T team ID (wd:P12308 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): identifier for a association football (soccer) national team in the National-Football-Teams.com database
5. participating team, also known as teams (wd:P1923 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): like 'Participant' (P710) but for teams. For an event like a cyc...member of sports team' (P54) as a qualifier for the individuals), participant
6. partner in business or sport, also known as professional partner, sport partner, sports partner, team mate, team-mate (wd:P1327 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): professional collaborator, significant person
7. Teams.by team ID (wd:P7490 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): identifier for a association football (soccer) team in the teams.by database
8. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): person or organization occupying property, used by
9. promoted, also known as competitor promoted, player promoted, promotion, team promoted (wd:P2881 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): competitor or team promoted during competition
10. represents, also known as represents organisation, stands for, symbolises, symbolizes, team for (wd:P1268 as prn/pqv/p/pr/psv/prv/pqn/wdt/psn/ps/pq/wdtn): organization, individual, or concept that an entity represents

[Assistant]
The property that indicates team affiliation is `wd:P54` (member of sports team). We will use this property to find out which teams Shaquille O'Neal and Kobe Bryant were members of in the year 2000.

Let's start by finding the teams Shaquille O'Neal was a member of in 2000.

[Tool]
Got 1 row and 1 column:
| team                            |
| ------------------------------- |
| Los Angeles Lakers (wd:Q121783) |

[Assistant] Shaquille O'Neal was a member of the Los Angeles Lakers in the year 2000. Now, let's find out if Kobe Bryant was also a member of the Los Angeles Lakers in the same year.

[Tool]
Got 1 row and 1 column:
| team                            |
| ------------------------------- |
| Los Angeles Lakers (wd:Q121783) |

[Assistant]
Kobe Bryant was also a member of the Los Angeles Lakers in the year 2000. Since both Shaquille O'Neal and Kobe Bryant were members of the Los Angeles Lakers in 2000, they were indeed teammates.

Now, let's formulate the final SPARQL query to confirm this and provide the answer to the user.

We will use an ASK query to check if both players were on the same team in 2000.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is well-formed and correctly answers the question. It checks whether both Shaquille O'Neal and Kobe Bryant were members of the same team during the year 2000, which is indeed true. No further refinements are necessary.