PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?governmentForm ?governmentFormLabel WHERE {
  wd:Q16 wdt:P122 ?governmentForm .
  OPTIONAL {
    ?governmentForm rdfs:label ?governmentFormLabel .
    FILTER ( LANG( ?governmentFormLabel ) = "en" )
  }
}

Got 3 rows and 2 columns:
| ?governmentForm                     | ?governmentFormLabel    |
| ----------------------------------- | ----------------------- |
| parliamentary system (wd:Q166747)   | parliamentary system    |
| constitutional monarchy (wd:Q41614) | constitutional monarchy |
| federation (wd:Q43702)              | federation              |

The form of government in Canada is a parliamentary system, constitutional monarchy, and federation.

[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 form of government does canada?

[Assistant]
To answer the question about the form of government in Canada, we need to identify the entity for Canada and the property that represents the form of government. Let's start by searching for the entity "Canada" in the knowledge graph.

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

[Tool]
Top 10 entity alternatives:
1. Canada, also known as CA, CAN, Dominion of Canada, ISO 3166-1:CA (wd:Q16): country in North America
2. La Canyada, also known as Cañada (wd:Q1553440): municipality of Spain
3. Province of Canada, also known as British Canada, Canada, United Canadas, United Province of Canada (wd:Q1121436): 1841–1867 UK possession in North America
4. Canada, also known as French Canada (wd:Q2569593): French colony in New France between 1534 and 1763
5. Canada, also known as Canada, KS (wd:Q5029265): unincorporated community in Kansas, United States
6. Canada, also known as Canada, KY, Canada, Kentucky (wd:Q1031917): unincorporated community in Pike County, Kentucky, United States
7. Canadá (wd:Q20275156): human settlement in Mexico
8. Canada, also known as Kanada (wd:Q2684010): hamlet in Ooststellingwerf, Netherlands
9. Canada (wd:Q21287484): Wikimedia permanent duplicate item
10. Canada (wd:Q13265795): 2012 novel by Richard Ford

[Assistant]
The top result for "Canada" is `wd:Q16`, which represents the country in North America. Now, let's find the property that represents the form of government.

### Step 2: Search for the property "form of government"
I will use the `search_property` function to find the property that represents the form of government.

[Tool]
Top 10 property alternatives:
1. basic form of government, also known as form of government, government, type of government (wd:P122 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): subject's government
2. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): seat of government of a country, province, state or other type of administrative territorial entity
3. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson
4. office held by head of government, also known as title of head of government, position of head of government, office of head of government, head of government's office, position held by head of government (wd:P1313 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): political office that is fulfilled by the head of the government of this item
5. authority, also known as executive authority, governed by, governing authority, governing body, has authority (wd:P797 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): entity having executive power on given entity
6. voting system, also known as electoral system, voting system, type of election (wd:P8196 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): system used for this election or vote
7. Classification of the Functions of Government, also known as COFOG ID, COFOG number (wd:P9798 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): UN classification to compare government agencies across countries
8. office held by head of state, also known as head of state, position held by head of state, state headed by (wd:P1906 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): political office that is fulfilled by the head of state of this item
9. country, also known as sovereign state, state, land, host country (wd:P17 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
10. foundational text, also known as main text, treaty, organic law, founding document, establishing document (wd:P457 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): text through which an institution or object has been created or established

[Assistant]
The top result for the property "form of government" is `wd:P122`. This property seems to represent the form of government of a country. Now, let's construct a SPARQL query to find the form of government for Canada.

### Step 3: Construct the SPARQL query
We will query the form of government for Canada using the identified entity and property.

```sparql
SELECT ?governmentForm ?governmentFormLabel
WHERE {
  wd:Q16 wdt:P122 ?governmentForm.
  OPTIONAL { ?governmentForm rdfs:label ?governmentFormLabel . FILTER(LANG(?governmentFormLabel) = "en") }
}
```

Let's execute this query to get the result.

[Tool]
Got 3 rows and 2 columns:
| ?governmentForm                     | ?governmentFormLabel    |
| ----------------------------------- | ----------------------- |
| parliamentary system (wd:Q166747)   | parliamentary system    |
| constitutional monarchy (wd:Q41614) | constitutional monarchy |
| federation (wd:Q43702)              | federation              |

[Assistant]
The form of government in Canada includes a parliamentary system, a constitutional monarchy, and a federation.

To provide a concise answer, we can combine these forms into a single statement.

### Final Answer
The form of government in Canada is a parliamentary system, constitutional monarchy, and federation.

Here is the final SPARQL query:

```sparql
SELECT ?governmentForm ?governmentFormLabel
WHERE {
  wd:Q16 wdt:P122 ?governmentForm.
  OPTIONAL { ?governmentForm rdfs:label ?governmentFormLabel . FILTER(LANG(?governmentFormLabel) = "en") }
}
```

And the answer:

The form of government in Canada is a parliamentary system, constitutional monarchy, and federation.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?team ?award WHERE {
  wd:Q193637 wdt:P54 ?team .
  wd:Q193637 wdt:P166 ?award .
  FILTER ( ?team IN ( wd:Q128109 , wd:Q161345 , wd:Q167253 ) ) .
}

Got 12 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?team                               | ?award                                                               |
| ----------------------------------- | -------------------------------------------------------------------- |
| Chicago Bulls (wd:Q128109)          | NBA All-Defensive Team (wd:Q1465181)                                 |
| Houston Rockets (wd:Q161345)        | NBA All-Defensive Team (wd:Q1465181)                                 |
| Portland Trail Blazers (wd:Q167253) | NBA All-Defensive Team (wd:Q1465181)                                 |
| Chicago Bulls (wd:Q128109)          | Elijah Pitts Award (wd:Q16834973)                                    |
| Houston Rockets (wd:Q161345)        | Elijah Pitts Award (wd:Q16834973)                                    |
| ...                                 | ...                                                                  |
| Houston Rockets (wd:Q161345)        | NBA All-Star Game Kobe Bryant Most Valuable Player Award (wd:Q31391) |
| Portland Trail Blazers (wd:Q167253) | NBA All-Star Game Kobe Bryant Most Valuable Player Award (wd:Q31391) |
| Chicago Bulls (wd:Q128109)          | All-NBA Team (wd:Q674359)                                            |
| Houston Rockets (wd:Q161345)        | All-NBA Team (wd:Q674359)                                            |
| Portland Trail Blazers (wd:Q167253) | All-NBA Team (wd:Q674359)                                            |

Scottie Pippen was known for his exceptional basketball career, playing for the Chicago Bulls, Houston Rockets, and Portland Trail Blazers. He won numerous awards, including the NBA All-Defensive Team, All-NBA Team, NBA All-Star Game Kobe Bryant Most Valuable Player Award, and the Elijah Pitts Award. His contributions to the sport and his team's success made him one of the most renowned basketball players of his time.

[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 was scottie pippen known for?

[Assistant]
To answer the question about what Scottie Pippen was known for, we need to identify the entity for Scottie Pippen and then look for properties that describe his notable achievements or roles.

### Step 1: Identify the entity for Scottie Pippen
Let's start by searching for the entity representing Scottie Pippen in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Scottie Pippen, also known as No Tippin' Pippen, Scotty Maurice Pippen, Scott Pippen, Robin, Pip (wd:Q193637): American basketball player, basketball player, actor
2. Scotty Pippen Jr., also known as Scottie Pippen Jr. (wd:Q100901254): American basketball player, basketball player
3. Slam City with Scottie Pippen (wd:Q3486520): 1994 video game
4. Scottish Terrier, also known as Aberdeen Terrier, Scottie, Scotty Dog (wd:Q39035): dog breed
5. 2024 in anime, also known as Scottie (wd:Q116673398): overview of anime-related events during the year of 2024
6. Pippen, also known as Pippen (surname), Pippen (family name) (wd:Q7197481): family name
7. pronunciation respelling for English, also known as Scottie (wd:Q7249972): non-IPA notation used to convey the pronunciation of English words (lookig like "lew-TEE-shee-əm")
8. Scottie (wd:Q7437589): album by Shirley Scott
9. English-language vowel changes before historic /r/, also known as Scottie (wd:Q5378157): vowel shifts
10. IBM Open Class, also known as scottie (wd:Q5968916): C++ class library

[Assistant]
The top result for "Scottie Pippen" is `wd:Q193637`, which represents the American basketball player. We will use this entity to find out what he was known for.

### Step 2: Identify properties that describe what Scottie Pippen was known for
We need to look for properties that describe his notable achievements, roles, or contributions. Let's list some of the properties associated with `wd:Q193637` to see what information is available.

[Tool]
Got 511 rows and 3 columns, showing the first 10 rows below:
| subject                     | property                         | object                                                                                |
| --------------------------- | -------------------------------- | -------------------------------------------------------------------------------------------------- |
| Scottie Pippen (wd:Q193637) | instance of (wdt:P31)            | human (wd:Q5)                                                                                |
| Scottie Pippen (wd:Q193637) | occupation (wdt:P106)            | actor (wd:Q33999)                                                                                |
| Scottie Pippen (wd:Q193637) | sex or gender (wdt:P21)          | male (wd:Q6581097)                                                                                |
| Scottie Pippen (wd:Q193637) | given name (wdt:P735)            | Maurice (wd:Q1472321)                                                                              |
| Scottie Pippen (wd:Q193637) | date of birth (wdt:P569)         | 1965-09-25T00:00:00Z                                                                               |
| Scottie Pippen (wd:Q193637) | Commons category (wdt:P373)      | Scottie Pippen                                                                                |
| Scottie Pippen (wd:Q193637) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Scottie%20Pippen%205-2-22%20%28cropped%29.jpg> |
| Scottie Pippen (wd:Q193637) | country of citizenship (wdt:P27) | United States (wd:Q30)                                                                             |
| Scottie Pippen (wd:Q193637) | family name (wdt:P734)           | Pippen (wd:Q7197481)                                                                               |
| Scottie Pippen (wd:Q193637) | place of birth (wdt:P19)         | Hamburg (wd:Q79657)                                                                                |
| ...                         | ...                              | ...                                                                                |

[Assistant]
From the list of properties, we can see that Scottie Pippen is primarily known for being a basketball player. However, we need to find more specific information about his notable achievements and contributions. Let's focus on properties that might describe his career highlights, such as teams he played for, awards he won, and significant events in his career.

### Step 3: Refine the query to find specific achievements and roles
We will look for properties related to his basketball career, such as the teams he played for and the awards he received.

Let's start by finding the teams he played for and the awards he won.

[Tool]
Got 24 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?team                               | ?award                               |
| ----------------------------------- | ------------------------------------ |
| Chicago Bulls (wd:Q128109)          | NBA All-Defensive Team (wd:Q1465181) |
| Torpan Pojat (wd:Q14622334)         | NBA All-Defensive Team (wd:Q1465181) |
| Houston Rockets (wd:Q161345)        | NBA All-Defensive Team (wd:Q1465181) |
| Portland Trail Blazers (wd:Q167253) | NBA All-Defensive Team (wd:Q1465181) |
| Helsinki Seagulls (wd:Q1889253)     | NBA All-Defensive Team (wd:Q1465181) |
| ...                                 | ...                                  |
| Torpan Pojat (wd:Q14622334)         | All-NBA Team (wd:Q674359)            |
| Houston Rockets (wd:Q161345)        | All-NBA Team (wd:Q674359)            |
| Portland Trail Blazers (wd:Q167253) | All-NBA Team (wd:Q674359)            |
| Helsinki Seagulls (wd:Q1889253)     | All-NBA Team (wd:Q674359)            |
| Sundsvall Dragons (wd:Q2405952)     | All-NBA Team (wd:Q674359)            |

[Assistant]
The results show that Scottie Pippen played for several teams, including the Chicago Bulls, Houston Rockets, and Portland Trail Blazers. He also won multiple awards, such as the NBA All-Defensive Team and All-NBA Team.

However, the results include some teams that seem incorrect, such as Torpan Pojat, Helsinki Seagulls, and Sundsvall Dragons. These teams are likely not part of his professional NBA career. To refine the query, we should filter out these incorrect teams and focus on his major achievements and the teams he played for in the NBA.

### Step 4: Filter the results to focus on his NBA career
We will filter the results to only include the teams he played for in the NBA and the major awards he won.

Let's refine the query to include only the NBA teams and the most significant awards.

[Tool]
Got 12 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?team                               | ?award                                                               |
| ----------------------------------- | -------------------------------------------------------------------- |
| Chicago Bulls (wd:Q128109)          | NBA All-Defensive Team (wd:Q1465181)                                 |
| Houston Rockets (wd:Q161345)        | NBA All-Defensive Team (wd:Q1465181)                                 |
| Portland Trail Blazers (wd:Q167253) | NBA All-Defensive Team (wd:Q1465181)                                 |
| Chicago Bulls (wd:Q128109)          | Elijah Pitts Award (wd:Q16834973)                                    |
| Houston Rockets (wd:Q161345)        | Elijah Pitts Award (wd:Q16834973)                                    |
| ...                                 | ...                                                                  |
| Houston Rockets (wd:Q161345)        | NBA All-Star Game Kobe Bryant Most Valuable Player Award (wd:Q31391) |
| Portland Trail Blazers (wd:Q167253) | NBA All-Star Game Kobe Bryant Most Valuable Player Award (wd:Q31391) |
| Chicago Bulls (wd:Q128109)          | All-NBA Team (wd:Q674359)                                            |
| Houston Rockets (wd:Q161345)        | All-NBA Team (wd:Q674359)                                            |
| Portland Trail Blazers (wd:Q167253) | All-NBA Team (wd:Q674359)                                            |

[Assistant]
The refined query shows that Scottie Pippen played for the Chicago Bulls, Houston Rockets, and Portland Trail Blazers in the NBA. He won several significant awards, including:

- NBA All-Defensive Team
- Elijah Pitts Award
- NBA All-Star Game Kobe Bryant Most Valuable Player Award
- All-NBA Team

These achievements highlight his contributions to the sport and his status as one of the greatest basketball players of his era.

### Final SPARQL Query and Answer
Here is the final SPARQL query and the answer to the question:

```sparql
SELECT ?team ?award WHERE {
  wd:Q193637 wdt:P54 ?team .
  wd:Q193637 wdt:P166 ?award .
  FILTER(?team IN (wd:Q128109, wd:Q161345, wd:Q167253)) .
}
```

**Answer:**
Scottie Pippen was known for his exceptional basketball career, playing for the Chicago Bulls, Houston Rockets, and Portland Trail Blazers. He won numerous awards, including the NBA All-Defensive Team, All-NBA Team, NBA All-Star Game Kobe Bryant Most Valuable Player Award, and the Elijah Pitts Award. His contributions to the sport and his team's success made him one of the most renowned basketball players of his time.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?date WHERE {
  wd:Q211386 wdt:P585 ?date .
}

The San Francisco earthquake occurred on April 18, 1906.

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

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

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

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

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

[User] when did the san francisco earthquake occur?

[Assistant]
To answer the question about when the San Francisco earthquake occurred, we need to identify the entity representing the San Francisco earthquake and then find the date associated with it.

### Step 1: Identify the Entity for the San Francisco Earthquake
Let's start by searching for the entity representing the San Francisco earthquake in Wikidata.

[Tool]
Top 10 entity alternatives:
1. 1906 San Francisco earthquake, also known as Great San Francisco Earthquake and Fire, San Francisco earthquake of 1906, San Francisco earthquake and fire, 1906, Great 1906 San Francisco Earthquake, earthquake of 1906 (wd:Q211386): major earthquake that struck San Francisco and the coast of Northern California
2. 1906 San Francisco earthquake, also known as 1906 San Francisco earthquake and fire, earthquake of 1906, San Francisco earthquake of 1906, Great 1906 San Francisco Earthquake, Great San Francisco Earthquake and Fire (wd:Q211386): major earthquake that struck San Francisco and the coast of Northern California
3. 1989 Loma Prieta earthquake, also known as 1989 San Francisco earthquake, Loma Prieta earthquake (wd:Q1053476): major earthquake in northern California
4. 1957 San Francisco earthquake (wd:Q20312370)
5. Earthquake waves at San Francisco (wd:Q80986050): scientific article published on 01 February 1884
6. The Great San Francisco Earthquake (wd:Q125816606): scientific article published in 1988
7. The San Francisco earthquake of 1906 (wd:Q58176314): scholarly article by Dennis R. Dean published November 1993 in Annals of Science
8. Saints and the San Francisco earthquake (wd:Q57138167): scientific article published on 01 January 1983
9. The Big Picture: San Francisco Earthquake (wd:Q110056932): sketch from Saturday Night Live
10. Psychic Effects of the San Francisco Earthquake (wd:Q57143755): scholarly article published 4 August 1906 in The Hospital

[Assistant]
The top result for the San Francisco earthquake is the 1906 San Francisco earthquake, which is represented by the entity `wd:Q211386`. This is the earthquake we are interested in.

### Step 2: Find the Date of the San Francisco Earthquake
Next, we need to find the date associated with this earthquake. We will look for a property that represents the date of occurrence.

Let's search for properties related to "date" or "occurrence" to find the appropriate property.

[Tool]
Top 10 property alternatives:
1. date of the latest one, also known as latest instance, date of the most recent instance, date of the latest instance (wd:P7125 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): qualifier: when the latest element of a quantity appeared/took place
2. date depicted, also known as depicted date, temporal coverage, shown as at date, depicts date, depicted time (wd:P2913 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): date represented in a work (for narrative works use P2408)
3. announcement date, also known as released, date teased, made public on, public announcement date, published (wd:P6949 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): time of the first public presentation of a subject by the creator, of information by the media, point in time
4. point in time, also known as at time, as of, year, when, time of event (wd:P585 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
5. recording date, also known as recorded date, record date, recdate, rec. date, date of recording (wd:P10135 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): the date when a recording was made, inception
6. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): time when an entity begins to exist; for date of official opening use P1619, start time
7. quantity, also known as amount, total number, total, qty, occurrences (wd:P1114 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): number of instances of this subject in the universe of the subje...e actual number of instances in Wikidata may be lower or higher)
8. start time, also known as start date, since, valid, join time, joined (wd:P580 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): time an entity begins to exist or a statement starts being valid, point in time
9. day in year for periodic occurrence, also known as date, day, day in year, day of periodic occurrence, day of year (wd:P837 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): when a specific holiday or periodic event occurs. Can be used as property or qualifier
10. latest date, also known as terminus ante quem, prior to, on or before this date, no later than, max date (wd:P1326 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): latest possible time that something could have occurred. Use as qualifier for other date properties

[Assistant]
The property `point in time` (wd:P585) seems to be the most appropriate for finding the date of the San Francisco earthquake. Let's construct a SPARQL query to retrieve the date of the 1906 San Francisco earthquake using this property.

### Step 3: Construct and Execute the SPARQL Query
We will now write a SPARQL query to get the date of the 1906 San Francisco earthquake.

[Tool]
Got 1 row and 1 column:
| ?date                |
| -------------------- |
| 1906-04-18T00:00:00Z |

[Assistant]
The SPARQL query returned the date of the 1906 San Francisco earthquake as `1906-04-18T00:00:00Z`.

### Final Answer
The San Francisco earthquake occurred on April 18, 1906.

Let's provide the final answer using the `answer` function.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?placeOfBirth ?placeOfBirthLabel WHERE {
  wd:Q13603754 wdt:P19 ?placeOfBirth .
  OPTIONAL {
    ?placeOfBirth rdfs:label ?placeOfBirthLabel .
  }
}

Got 101 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?placeOfBirth          | ?placeOfBirthLabel |
| ---------------------- | ------------------ |
| Salisbury (wd:Q160642) | "Caersallog"@cy    |
| Salisbury (wd:Q160642) | "Karsallek"@kw     |
| Salisbury (wd:Q160642) | "Salesbire"@nrm    |
| Salisbury (wd:Q160642) | "Salisbury"@af     |
| Salisbury (wd:Q160642) | "Salisbury"@ast    |
| ...                    | ...                |
| Salisbury (wd:Q160642) | "索尔兹伯里"@wuu        |
| Salisbury (wd:Q160642) | "索尔兹伯里"@zh-cn      |
| Salisbury (wd:Q160642) | "索尔兹伯里"@zh-hans    |
| Salisbury (wd:Q160642) | "索尔兹伯里"@zh-sg      |
| Salisbury (wd:Q160642) | "索爾茲伯里"@zh         |

Robert Irvine comes from Salisbury.

[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 does robert irvine come from?

[Assistant]
To determine where Robert Irvine comes from, we need to identify the entity for Robert Irvine and then find the property that indicates his place of birth or origin.

### Step 1: Identify the entity for Robert Irvine
Let's start by searching for the entity representing Robert Irvine in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Bobby Irvine, also known as Robert Irvine, Robert James Irvine (wd:Q4935169): Northern Irish association footballer (born 1942), association football player
2. Robert Irvine (wd:Q29561444): association football player
3. Robert Irvine, also known as Robert Paul Irvine (wd:Q13603754): British celebrity chef, chef
4. Irvine, Robert (wd:Q94829234): entry in Alumni Oxonienses: the Members of the University of Oxford, 1715-1886
5. Robert Irvine (wd:Q7345808): New Zealand rugby league footballer, rugby league player
6. Robert Brian Irvine, also known as Robert Irvine (wd:Q75949893): Peerage person ID=423923
7. Robert Irvine (wd:Q93942944)
8. Robert Irvine (wd:Q76346164): Peerage person ID=703910
9. Robert Irvine (wd:Q76170766): Peerage person ID=579126
10. Robert Irvine (wd:Q76037914): Peerage person ID=485894

[Assistant]
From the search results, the most relevant entity for Robert Irvine, the celebrity chef, is **wd:Q13603754**.

### Step 2: Identify the property for place of birth or origin
Next, we need to find the property that indicates the place of birth or origin. Let's search for properties related to "birth" and "origin".

### Step 3: Search for properties related to birth and origin
Let's search for these properties in Wikidata.

[Tool]
Top 10 property alternatives:
1. date of baptism, also known as christened, time of christening, time of baptism, date of christening, date of baptism in early childhood (wd:P1636 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): date when a person was baptized. For times when only baptism rec...were available, this can be a good substitute for date of birth., start time
2. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): most specific known birth location of a person, animal or fictional character, location
3. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): full name of a person at birth, if different from their current, generally used name, name
4. birthday, also known as b-day, bday, birth day (wd:P3150 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., date of birth
5. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): date on which the subject was born, inception
6. birth rate (wd:P8763 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): the total number of live births per 1,000 population
7. category for births in this time period (wd:P12686 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): category item for people who were born in this time period, point in time
8. derivative work, also known as is source work of, is adapted as, is the basis for, iteration, reboot (wd:P4969 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): new work of art (film, book, software, etc.) derived from major part of this work
9. gestation period (wd:P3063 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): amount of time needed for gestation for this animal taxon, duration
10. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): time when an entity begins to exist; for date of official opening use P1619, start time

[Assistant]
From the search results, the most relevant property for the place of birth is **wd:P19**.

### Step 4: Construct the SPARQL query
Now, let's construct a SPARQL query to find the place of birth for Robert Irvine (wd:Q13603754).

```sparql
SELECT ?placeOfBirth ?placeOfBirthLabel
WHERE {
  wd:Q13603754 wdt:P19 ?placeOfBirth.
  OPTIONAL { ?placeOfBirth rdfs:label ?placeOfBirthLabel. }
}
```

Let's execute this query to get the result.

[Tool]
Got 101 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?placeOfBirth          | ?placeOfBirthLabel |
| ---------------------- | ------------------ |
| Salisbury (wd:Q160642) | "Caersallog"@cy    |
| Salisbury (wd:Q160642) | "Karsallek"@kw     |
| Salisbury (wd:Q160642) | "Salesbire"@nrm    |
| Salisbury (wd:Q160642) | "Salisbury"@af     |
| Salisbury (wd:Q160642) | "Salisbury"@ast    |
| ...                    | ...                |
| Salisbury (wd:Q160642) | "索尔兹伯里"@wuu        |
| Salisbury (wd:Q160642) | "索尔兹伯里"@zh-cn      |
| Salisbury (wd:Q160642) | "索尔兹伯里"@zh-hans    |
| Salisbury (wd:Q160642) | "索尔兹伯里"@zh-sg      |
| Salisbury (wd:Q160642) | "索爾茲伯里"@zh         |

[Assistant]
The query results show that Robert Irvine was born in Salisbury, which is represented by the IRI **wd:Q160642**. The labels for Salisbury are provided in various languages, but the English label is "Salisbury".

### Final Answer
Robert Irvine comes from Salisbury.

Let's provide the final SPARQL query and answer.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?headquarters ?headquartersLabel WHERE {
  wd:Q505922 wdt:P159 ?headquarters .
  OPTIONAL {
    ?headquarters rdfs:label ?headquartersLabel .
    FILTER ( LANG( ?headquartersLabel ) = 'en' )
  }
}

Got 1 row and 2 columns:
| ?headquarters        | ?headquartersLabel |
| -------------------- | ------------------ |
| Stockholm (wd:Q1754) | Stockholm          |

Electrolux is based in Stockholm.

[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 is electrolux based?

[Assistant] To determine where Electrolux is based, we need to identify the entity for Electrolux and then find the property that indicates its headquarters or base location. Let's start by searching for the entity "Electrolux" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Electrolux, also known as AB Electrolux (wd:Q505922): Swedish multinational manufacturer and marketer of home appliances
2. Electrolux (wd:Q2923843): genus of fishes
3. ELECTROLUX, also known as ELECTROLUX, s.r.o. (wd:Q58218446): Czech company
4. Electrolux addisoni (wd:Q2387882): species of fish
5. Electrolux Assistent, also known as Electrolux Ankarsrum Assistent (wd:Q17496378): stand mixer introduced by Electrolux in 1940
6. Electrolux Trilobite (wd:Q5358060): first commercially available robotic vacuum cleaner
7. Electrolux (Italy), also known as Electrolux Italia S.p.A., Electrolux Rex (wd:Q106045223)
8. Electrolux F.C. (wd:Q96377107): football club
9. Electrolux Professional (wd:Q109974149): Swedish professional appliance manufacturer
10. Lux Norge AS, also known as Electrolux-Euroclean AS, Electrolux AS, Electrolux Rengjøringsmaskiner AS (wd:Q15729564)

[Assistant] From the search results, the entity "Electrolux, also known as AB Electrolux (wd:Q505922)" seems to be the correct one, as it refers to the Swedish multinational manufacturer and marketer of home appliances. Next, we need to find the property that indicates the headquarters or base location of this entity. Let's search for properties related to "headquarters" or "based in".

[Tool]
Top 10 property alternatives:
1. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
2. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): seat of government of a country, province, state or other type of administrative territorial entity
3. organization directed by the office or position, also known as leader of, head of, leads, organization directed by, organization directed from the office (wd:P2389 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): organization which is directed by this office
4. employer, also known as working at, working for, working place, works at, works for (wd:P108 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): person or organization for which the subject works or worked, affiliation
5. has subsidiary, also known as subordinate body, subsidiary body, subordinate unit, subsidiary, subsidiary company (wd:P355 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): subsidiary of a company or organization; generally a fully owned...siness division" (P199). Opposite of parent organization (P749)., has part(s), owner of
6. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
7. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): location where persons or organisations were actively participating in employment, business or other work, significant place, location
8. represents, also known as represents organisation, stands for, symbolises, symbolizes, team for (wd:P1268 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): organization, individual, or concept that an entity represents
9. parent organization, also known as parent company, parent institution, parent organisation, parent unit, part of (wd:P749 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): parent organization of an organization, opposite of subsidiaries (P355), owned by, part of
10. capital of, also known as national capital of, parish seat of, provincial capital of, seat of, state capital (wd:P1376 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): country, state, department, canton or other administrative division of which the municipality is the governmental seat, located in the administrative territorial entity

[Assistant]
The property "headquarters location" (wd:P159) is the most relevant for finding the headquarters or base location of an organization. Now, let's construct a SPARQL query to find the headquarters location of Electrolux (wd:Q505922).

We will start with a simple query to retrieve the headquarters location and then check the results.

[Tool]
Got 1 row and 1 column:
| ?headquarters        |
| -------------------- |
| Stockholm (wd:Q1754) |

[Assistant]
The SPARQL query returned the headquarters location of Electrolux as Stockholm (wd:Q1754). To provide a more complete answer, we can include the label of the location in the query. However, since the label is optional, we will use an OPTIONAL clause to fetch it.

Let's update the query to include the label of the headquarters location.

[Tool]
Got 1 row and 2 columns:
| ?headquarters        | ?headquartersLabel |
| -------------------- | ------------------ |
| Stockholm (wd:Q1754) | Stockholm          |

[Assistant]
The updated SPARQL query successfully retrieved the headquarters location of Electrolux along with its label. The headquarters of Electrolux is located in Stockholm (wd:Q1754).

Now, I will provide the final SPARQL query and the answer to the user's question.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?zipCode WHERE {
  wd:Q793929 wdt:P281 ?zipCode .
}

The zip code for Azle, Texas is 76020.

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

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

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

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

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

[User] what is the zip code for azle texas?

[Assistant] To find the zip code for Azle, Texas, we need to first identify the entity for Azle, Texas in the knowledge graph. Let's start by searching for the entity.

[Tool]
Top 10 entity alternatives:
1. Azle, also known as Azle, Texas, Azle, TX (wd:Q793929): city in Texas, United States
2. Texas Health Resources Azle heliport (wd:Q61719753): heliport in Texas, United States
3. Causal factors for seismicity near Azle, Texas (wd:Q35541092): scientific article published on 21 April 2015
4. Texas, also known as Tex., US-TX, Lone Star State, Texas, United States, State of Texas (wd:Q1439): state of the United States of America
5. Texas, also known as Lone Star State, US-TX, TX, Texas, United States, Tex. (wd:Q1439): state of the United States of America
6. Texas (wd:Q916484): Scottish musical group; alternative rock band
7. Texas, also known as Texas, WI (wd:Q1887280): town in Wisconsin, United States
8. Texas (wd:Q7707414): 1941 Western film directed by George Marshall
9. Texas, also known as Texas, Queensland, Texas, Queensland, Australia (wd:Q144229): town in Queensland, Australia
10. Texas, also known as Texas, NY, Texas, New York (wd:Q3816828): town in Oswego County, New York

[Assistant] The top result for "Azle, Texas" is `wd:Q793929`. Now that we have the entity for Azle, Texas, we need to find the property that corresponds to the zip code. Let's search for a property related to "zip code".

[Tool]
Top 10 property alternatives:
1. postal code, also known as pincode, PIN Code, postal index number, post code, postcode (wd:P281 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): identifier assigned by postal authorities for the subject area or building
2. local dialing code, also known as area code, dialling code, local calling code, local dialling code, STD code (wd:P473 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): identifier dedicated to subject city by the area communication network
3. country calling code, also known as calling code, country code, country dialing code, dialing code, phone code (wd:P474 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): identifier for a country - dialed on phone after the international dialing prefix (precede value by +)
4. location code (wd:P13262 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): an assigned code for the location (physical or virtual) within a given system (please use more specific property if available), catalog code
5. CDDA designationTypeCode, also known as designated area code, CDDA type ID, CDDA type, CDDA, CDDA code (wd:P9800 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): code for the national designation type used in the Common Database on Designated Areas inventory (CDDA)
6. Dictionary of Occupational Titles Code (fourth edition, revised), also known as DOT code (wd:P8679 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): occupation code from the Dictionary of Occupational Titles, fourth edition, revised
7. post office box, also known as PO Box, Post Office Box, P.O. Box, P. O. Box, P O Box (wd:P2918 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): post office box number, as part of an address
8. quantity, also known as amount, total number, total, qty, occurrences (wd:P1114 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): number of instances of this subject in the universe of the subje...e actual number of instances in Wikidata may be lower or higher)
9. series ordinal, also known as ordinal, unit number, sort order, sorting order, series number (wd:P1545 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): position of an item in its parent series (most frequently a 1-ba...d from "ranking" defined as a property for evaluating a quality)
10. issue, also known as number, no., issue number (wd:P433 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): issue of a newspaper, a scientific journal or magazine for reference purpose

[Assistant]
The property for "postal code" or "zip code" is `wd:P281`. Now that we have both the entity and the property, we can construct a SPARQL query to find the zip code for Azle, Texas.

Let's execute the SPARQL query:

```sparql
SELECT ?zipCode
WHERE {
  wd:Q793929 wdt:P281 ?zipCode .
}
```

This query will return the zip code for Azle, Texas.

[Tool]
Got 1 row and 1 column:
| ?zipCode |
| -------- |
| 76020    |

[Assistant]
The zip code for Azle, Texas is 76020.

Here is the final SPARQL query and answer:

```sparql
SELECT ?zipCode
WHERE {
  wd:Q793929 wdt:P281 ?zipCode .
}
```

Answer: The zip code for Azle, Texas is 76020.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?language WHERE {
  wd:Q79 wdt:P37 ?language .
}

Arabic

[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 language is mainly spoken in egypt?

[Assistant]
To answer the question about the main language spoken in Egypt, we need to identify the entity for Egypt and the property for the official or main language spoken in a country.

### Step 1: Identify the entity for Egypt
Let's search for the entity representing Egypt in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Egypt, also known as Republic of Egypt, Rep. Egypt, EGY, eg, Arab Republic of Egypt (wd:Q79): country in Northeast Africa and Southwest Asia
2. Khedivate of Egypt, also known as Egypt, Egyptian Khedivate (wd:Q127861): 1867-1914 monarchy in Northeastern Africa
3. Egypt Eyalet, also known as QASR of Egypt, Pashalik of Egypt, Egypt, Mısır Eyalet, Beylerbeyilik of Egypt (wd:Q491507): Egyptian State (1517–1867)
4. Egypt, also known as Egypt, AK, Egypt, AR (wd:Q2083973): town in Arkansas
5. Egypt, also known as Egypt, Etowah County, Alabama, Egypt, AL (wd:Q5348296): census-designated place in Etowah County, Alabama
6. Egypt, also known as Egypt, Pennsylvania (wd:Q5348306): human settlement in Pennsylvania, United States
7. Egypt 1156 B.C., also known as Egypt, Egypt 1156 B.C.: Tomb of the Pharaoh (wd:Q3586212): 1999 video game
8. Egypt, also known as Egypt, WV (wd:Q5348310): unincorporated community in Jefferson County, West Virginia
9. Egypt (wd:Q5348317): 2004 album by Youssou N'Dour
10. Egypt, also known as Egypt, IN, Egypt, Indiana (wd:Q5348297): unincorporated community in Jasper County, Minnesota

[Assistant]
The correct entity for Egypt is `wd:Q79`, which represents the modern Republic of Egypt.

### Step 2: Identify the property for the main language spoken in a country
Next, we need to find the property that indicates the main or official language of a country. Let's search for properties related to "language" and "official language".

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): language designated as official by this item, language used
2. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): label for the items in their official language  or their original language, name
3. Ethnologue language status, also known as EGIDS, language status (wd:P3823 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): language status identifier by Ethnologue.com using EGIDS scale
4. language regulatory body, also known as language authority, regulatory body (wd:P1018 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): regulatory body of a language
5. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): language(s) that a person or a people speaks, writes or signs, including the native language(s)
6. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): language or languages a person has learned from early childhood, languages spoken, written or signed
7. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): language widely used (spoken or written) in this place or at this event or organisation
8. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
9. programmed in, also known as language, programming language, written in (wd:P277 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): the programming language(s) in which the software is developed
10. writing language, also known as languages of writings, languages written, language written, writing languages, language of works (wd:P6886 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): language in which the writer has written their work, languages spoken, written or signed

[Assistant]
The property `wd:P37` (official language) seems to be the most appropriate for identifying the main language spoken in a country.

### Step 3: Construct the SPARQL query
Now, let's construct a SPARQL query to find the main language spoken in Egypt using the identified entity and property.

```sparql
SELECT ?language WHERE {
  wd:Q79 wdt:P37 ?language .
}
```

This query will return the main language spoken in Egypt. Let's execute it to get the result.

[Tool]
Got 1 row and 1 column:
| ?language          |
| ------------------ |
| Arabic (wd:Q13955) |

[Assistant]
The main language spoken in Egypt is Arabic.

### Final Answer
The main language spoken in Egypt is Arabic.

```sparql
SELECT ?language WHERE {
  wd:Q79 wdt:P37 ?language .
}
```

The answer to the question is **Arabic**.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?language WHERE {
  wd:Q45 wdt:P37 ?language .
}

Got 2 rows and 1 column:
| ?language             |
| --------------------- |
| Mirandese (wd:Q13330) |
| Portuguese (wd:Q5146) |

Portuguese (wd:Q5146) is the primary language spoken in Portugal. Mirandese (wd:Q13330) is also an official language but is spoken in a very limited area.

[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 portuguese people speak?

[Assistant]
To answer the question "What do Portuguese people speak?", we need to identify the language(s) spoken by people in Portugal. Let's start by searching for the entity representing Portugal and then look for properties related to languages spoken in the country.

First, I will search for the entity "Portugal" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Portugal, also known as POR, Portuguese Republic, PRT (wd:Q45): country in Southwestern Europe
2. Portugal (wd:Q7232531): constituency of the European Parliament
3. Portugal (wd:Q14110517): family name
4. Portugal (wd:Q21087356): comic book Cyril Pedrosa
5. Portugal, also known as Portugal, Oca, Coristanco (wd:Q31283096)
6. Portugal, also known as IMO 9147083 (wd:Q83609413): ship built in 1998
7. Portugal (wd:Q10638037): single
8. Portugal (wd:Q66987006): Populated place in Alforja (Baix Camp)
9. Portugal (wd:Q61400880): 2018 film directed by Lauri Lagle
10. Portugal (wd:Q35267157): stream in Sofala Province, Mozambique

[Assistant]
The top result for "Portugal" is `wd:Q45`, which represents the country in Southwestern Europe. Next, I will look for properties related to languages spoken in Portugal. I will search for properties that might indicate the official language or commonly spoken languages of a country.

I will search for properties related to "language" and "official language".

[Tool]
Top 10 property alternatives:
1. programmed in, also known as language, programming language, written in (wd:P277 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): the programming language(s) in which the software is developed
2. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): language(s) that a person or a people speaks, writes or signs, including the native language(s)
3. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
4. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): language designated as official by this item, language used
5. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): language widely used (spoken or written) in this place or at this event or organisation
6. language style, also known as manner, term register, obsolete, register, sense register (wd:P6191 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): to denote of the way a sense of a word is used, e.g., slang, vulgarism, babytalk, colloquialism, etc.
7. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): language or languages a person has learned from early childhood, languages spoken, written or signed
8. writing language, also known as languages of writings, languages written, language written, writing languages, language of works (wd:P6886 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): language in which the writer has written their work, languages spoken, written or signed
9. Ethnologue language status, also known as EGIDS, language status (wd:P3823 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): language status identifier by Ethnologue.com using EGIDS scale
10. variety of lexeme, form or sense, also known as dialect, used in dialect, variety of form (wd:P7481 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): dialect, graphic or phonetic variety that this lexeme, form or sense is used in

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): language designated as official by this item, language used
2. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): label for the items in their official language  or their original language, name
3. Ethnologue language status, also known as EGIDS, language status (wd:P3823 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): language status identifier by Ethnologue.com using EGIDS scale
4. language regulatory body, also known as language authority, regulatory body (wd:P1018 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): regulatory body of a language
5. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): language(s) that a person or a people speaks, writes or signs, including the native language(s)
6. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): language or languages a person has learned from early childhood, languages spoken, written or signed
7. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): language widely used (spoken or written) in this place or at this event or organisation
8. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
9. programmed in, also known as language, programming language, written in (wd:P277 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): the programming language(s) in which the software is developed
10. writing language, also known as languages of writings, languages written, language written, writing languages, language of works (wd:P6886 as prv/pq/pqn/ps/psn/psv/wdt/pr/wdtn/prn/pqv/p): language in which the writer has written their work, languages spoken, written or signed

[Assistant]
From the search results, the property `wd:P37` (official language) seems to be the most relevant for identifying the official language of Portugal. Additionally, `wd:P1412` (languages spoken, written or signed) could provide information about the languages commonly used in Portugal.

Let's start by querying the official language of Portugal using `wd:P37`.

### Step 1: Query the official language of Portugal

```sparql
SELECT ?language WHERE {
  wd:Q45 wdt:P37 ?language .
}
```

I will execute this query to see the results.

[Tool]
Got 2 rows and 1 column:
| ?language             |
| --------------------- |
| Mirandese (wd:Q13330) |
| Portuguese (wd:Q5146) |

[Assistant]
The query returned two languages: Mirandese (`wd:Q13330`) and Portuguese (`wd:Q5146`). Mirandese is a regional language spoken in a small area of northern Portugal, while Portuguese is the primary and most widely spoken language in Portugal.

Next, let's query the languages spoken, written, or signed in Portugal using `wd:P1412` to see if it provides additional information.

### Step 2: Query the languages spoken, written, or signed in Portugal

```sparql
SELECT ?language WHERE {
  wd:Q45 wdt:P1412 ?language .
}
```

I will execute this query to see the results.

[Tool] Got no rows and 1 columns

[Assistant]
The query for `wd:P1412` (languages spoken, written, or signed) did not return any results for Portugal. This suggests that the information about commonly spoken languages in Portugal might not be available under this property.

Given the results from the official language query, we can conclude that the primary language spoken in Portugal is Portuguese. Mirandese is a regional language spoken in a small area of northern Portugal, but it is not widely used.

### Final Answer

The primary language spoken in Portugal is Portuguese.

Here is the final SPARQL query:

```sparql
SELECT ?language WHERE {
  wd:Q45 wdt:P37 ?language .
}
```

And the answer based on the query results:

Portuguese (`wd:Q5146`) is the primary language spoken in Portugal. Mirandese (`wd:Q13330`) is also an official language but is spoken in a very limited area.

[Tool] Stopped generation process