PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT ?coach ?coachLabel WHERE {
  wd:Q330120 p:P286 ?statement .
  ?statement ps:P286 ?coach .
  ?statement pq:P580 ?start .
  OPTIONAL {
    ?statement pq:P582 ?end .
  }
  FILTER ( ?start <= "2013-12-31T00:00:00Z" ^^ xsd:dateTime && ( ! BOUND( ?end ) || ?end >= "2013-01-01T00:00:00Z" ^^ xsd:dateTime ) ) OPTIONAL {
    ?coach rdfs:label ?coachLabel FILTER ( lang( ?coachLabel ) = "en" )
  }
}

Ron Rivera (wd:Q1991889) was the head coach of the Carolina Panthers in 2013.

[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 http://amur:7001

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

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

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

[User] who will coach carolina panthers in 2013?

[Assistant]
Let's break down the question:

1. The entity "Carolina Panthers" refers to the NFL team.
2. The property we need is "coach" or "head coach".
3. The question is about the coach in the year 2013, so we need to filter for that time period.

First, I will search for the entity "Carolina Panthers" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Carolina Panthers (wd:Q330120): American football team
2. history of the Carolina Panthers, also known as Carolina Panthers history, the Carolina Panthers history (wd:Q5869201): aspect of history
3. Carolina Panthers Cheerleaders (wd:Q130385213): cheerleading squad of the Carolina Panthers
4. 2021 Carolina Panthers season (wd:Q104869609): 27th season in franchise history
5. 2022 Carolina Panthers season (wd:Q110445399): 28th season in franchise history
6. 2020 Carolina Panthers season (wd:Q80995958): 26th season in franchise history
7. 2018 Carolina Panthers season (wd:Q48843395): 24th season in franchise history
8. 2015 Carolina Panthers season (wd:Q18701993): NFL team 21st season(lost Super Bowl)
9. 2019 Carolina Panthers season (wd:Q60525825): 25th season in franchise history
10. 2023 Carolina Panthers season (wd:Q116170055): 29th season in franchise history

[Assistant]
The main entity for the Carolina Panthers NFL team is wd:Q330120.

Next, I need to find the property for "coach" or "head coach". I will search for properties related to "coach" for this entity.

[Tool]
Top 10 property alternatives:
1. head coach, also known as team manager, trainer, senior coach, manager, coached by (wd:P286 as p/wdt): on-field manager or head coach of a sports club (not to be confu...eneral manager P505, which is not a coaching position) or person
2. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with
3. league or competition, also known as tournament, sports league, division, cup, competition (wd:P118 as p/wdt): league or competition in which team or player has played, or in which an event occurs, participant in
4. owned by, also known as belongs to, stockholders, stockholder, shareholders, shareholder (wd:P127 as p/wdt): owner of the subject
5. category for members of a team, also known as category for players, category for team members (wd:P6112 as p/wdt): Wikimedia category for players playing for a sports team, topic's main category
6. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as p/wdt): home stadium or venue of a sports team or applicable performing arts organization, location
7. Flashscore.com team ID, also known as flashscore.com/team/, FlashScore.com team ID, https://www.flashscore.com/team/, www.flashscore.com/team/ (wd:P7876 as p/wdt): identifier for a sports team in the FlashScore.com database
8. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
9. owner of, also known as owns, owns property, shareholder of (wd:P1830 as p/wdt): entities owned by the subject
10. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity

No other items found

[Assistant]
The property for "head coach" is wd:P286. Now, we need to find who was the head coach of the Carolina Panthers (wd:Q330120) in 2013. Since coaching tenures can have qualifiers for start and end dates, we should check how the property is used for this entity.

I will list triples where the Carolina Panthers are the subject and the property is head coach (wdt:P286). This will help us see how the data is structured and if there are qualifiers for the time period.

[Tool]
Got 1 row and 3 columns:
| subject                        | property              | object                      |
| ------------------------------ | --------------------- | --------------------------- |
| Carolina Panthers (wd:Q330120) | head coach (wdt:P286) | Dave Canales (wd:Q47456134) |

[Assistant]
Currently, the direct property wdt:P286 (head coach) for the Carolina Panthers (wd:Q330120) points to Dave Canales (wd:Q47456134), who is the current coach, not the one in 2013.

To find the coach in 2013, we need to look for statements with qualifiers indicating the time period. This information is usually stored in the full statement namespace (p:P286), with qualifiers like "start time" (P580) and "end time" (P582).

I will list all statements (not just direct claims) about head coaches for the Carolina Panthers, so we can see the qualifiers and find the coach for 2013.

[Tool]
Got 8 rows and 3 columns:
| subject                        | property            | object                                         |
| ------------------------------ | ------------------- | ---------------------------------------------- |
| Carolina Panthers (wd:Q330120) | head coach (p:P286) | s:Q330120-2f5b688c-4701-ae35-ef29-51ef69c9de92 |
| Carolina Panthers (wd:Q330120) | head coach (p:P286) | s:Q330120-48e97c3f-4363-828d-db0f-94a68ca39086 |
| Carolina Panthers (wd:Q330120) | head coach (p:P286) | s:Q330120-736700dd-49fa-7abe-2a02-a38de36334ad |
| Carolina Panthers (wd:Q330120) | head coach (p:P286) | s:Q330120-901db853-45eb-301d-3bb0-b14edb6a9c88 |
| Carolina Panthers (wd:Q330120) | head coach (p:P286) | s:Q330120-997ea6c1-4d3d-292e-addd-bbd89937d2c0 |
| Carolina Panthers (wd:Q330120) | head coach (p:P286) | s:Q330120-9f179107-47e5-69c1-ce60-3ecf15100852 |
| Carolina Panthers (wd:Q330120) | head coach (p:P286) | s:Q330120-c511c1f0-48ea-054e-a3bc-89f44d9ff9cc |
| Carolina Panthers (wd:Q330120) | head coach (p:P286) | s:Q330120-eb409d3a-4f10-6ae9-925d-a730cc610f68 |

[Assistant]
There are 8 head coach statements for the Carolina Panthers, each with a unique statement node. To find the coach in 2013, I need to check the qualifiers (start time P580, end time P582) for each statement and see which one covers the year 2013.

I will list the qualifiers for one of these statement nodes to see how the data is structured. Let's start with s:Q330120-2f5b688c-4701-ae35-ef29-51ef69c9de92.

[Tool]
Got 8 rows and 3 columns:
| subject                                        | property              | object                                       |
| ---------------------------------------------- | --------------------- | -------------------------------------------- |
| s:Q330120-2f5b688c-4701-ae35-ef29-51ef69c9de92 | start time (pq:P580)  | 2011-01-01T00:00:00Z (xsd:dateTime)          |
| s:Q330120-2f5b688c-4701-ae35-ef29-51ef69c9de92 | end time (pq:P582)    | 2019-01-01T00:00:00Z (xsd:dateTime)          |
| s:Q330120-2f5b688c-4701-ae35-ef29-51ef69c9de92 | head coach (ps:P286)  | Ron Rivera (wd:Q1991889)                     |
| s:Q330120-2f5b688c-4701-ae35-ef29-51ef69c9de92 | wikibase:rank         | wikibase:NormalRank                          |
| s:Q330120-2f5b688c-4701-ae35-ef29-51ef69c9de92 | rdf:type              | wikibase:Statement                           |
| s:Q330120-2f5b688c-4701-ae35-ef29-51ef69c9de92 | prov:wasDerivedFrom   | ref:e36f8c9d1bd5f4938eddd0f605ee623cff177615 |
| s:Q330120-2f5b688c-4701-ae35-ef29-51ef69c9de92 | start time (pqv:P580) | v:19fb1e607fb895edac44d92bd9141272           |
| s:Q330120-2f5b688c-4701-ae35-ef29-51ef69c9de92 | end time (pqv:P582)   | v:1c9551a398cfb51623c28b80416004d3           |

[Assistant]
This statement shows that Ron Rivera (wd:Q1991889) was head coach from 2011-01-01 to 2019-01-01, which covers the year 2013.

To be thorough, I should check if any other statements overlap with 2013, but based on this data, Ron Rivera is the likely answer.

Now, I will construct a SPARQL query that:
- Finds the head coach of the Carolina Panthers (wd:Q330120)
- Where the tenure (start time and end time) includes the year 2013

I will also include the coach's IRI and optionally their label.

[Tool]
Got 1 row and 2 columns:
| coach                    | coachLabel      |
| ------------------------ | --------------- |
| Ron Rivera (wd:Q1991889) | Ron Rivera (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the head coach of the Carolina Panthers in 2013 by filtering for the appropriate time interval using the start and end times. It returns the IRI of the coach as required, and the label is included optionally. The answer matches the expected result. No further refinement is needed.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?spouse ?spouseLabel WHERE {
  wd:Q42869 wdt:P26 ?spouse .
  OPTIONAL {
    ?spouse rdfs:label ?spouseLabel .
    FILTER ( LANG( ?spouseLabel ) = "en" )
  }
}

Got 5 rows and 2 columns:
| spouse                          | spouseLabel             |
| ------------------------------- | ----------------------- |
| Erika Koike (wd:Q109355321)     | Erika Koike (en)        |
| Riko Shibata (wd:Q109355504)    | Riko Shibata (en)       |
| Alice Kim Cage (wd:Q12606061)   | Alice Kim Cage (en)     |
| Patricia Arquette (wd:Q215976)  | Patricia Arquette (en)  |
| Lisa Marie Presley (wd:Q237324) | Lisa Marie Presley (en) |

Nicolas Cage has been married to Erika Koike, Riko Shibata, Alice Kim Cage, Patricia Arquette, and Lisa Marie Presley.

[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 http://amur:7001

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

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

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

[User] who is nicolas cage married too?

[Assistant]
Let's break down the question:

1. The user is asking who Nicolas Cage is married to.
2. We need to identify the entity for Nicolas Cage and the property for "spouse" or "married to" in Wikidata.
3. Then, we will construct a SPARQL query to find the spouse(s) of Nicolas Cage.

First, let's search for the entity "Nicolas Cage" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Nicolas Cage, also known as Nicolas Coppola, Nicolas Kim Coppola, Nic Cage (wd:Q42869): television presenter, television producer, executive producer, character actor, American actor, film director, film producer, screenwriter, voice actor, film actor, director, writer, actor
2. Nicolas Cage/Bobby Brown, also known as Saturday Night Live S18E1, Saturday Night Live, season 18 episode 1 (wd:Q110035758): episode of Saturday Night Live (S18 E1)
3. Weekend Update: Nicolas Cage (wd:Q110060114): sketch from Saturday Night Live
4. Cage's Kiss: The Nicolas Cage Podcast (wd:Q110580467): podcast
5. Cage Rage - A Nicolas Cage Podcast (wd:Q110575223): podcast
6. Weekend Update: Nicolas Cage and Bradley Cooper (wd:Q110060014): sketch from Saturday Night Live
7. cage (wd:Q129211): enclosure used to confine, contain or protect something or someone
8. China Zorrilla, also known as Nicolás (wd:Q458175): Uruguayan actress (1922–2014), stage actor, film actor, actor
9. Frida Kalho, also known as Nicolás (wd:Q458175): Uruguayan actress (1922–2014), stage actor, film actor, actor
10. The Cage, also known as Cage, Cage, The, Pilot: The Cage (wd:Q20909): 1986 episode of Star Trek: The Original Series directed by Robert Butler

[Assistant]
The correct entity for Nicolas Cage is wd:Q42869.

Next, I need to find the property in Wikidata that represents "spouse" or "married to". I will search for the property "spouse".

[Tool]
Top 10 property alternatives:
1. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
2. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person
3. unmarried partner, also known as romantic partner, partner of, partners, posslq, relationship (wd:P451 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples, significant person
4. married name, also known as full name (married) (wd:P2562 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): name or surname adopted by a person upon marriage, name
5. place of marriage, also known as marriage location, wedding location, wed at, married in, married at (wd:P2842 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): location where the marriage was celebrated. Use as qualifier for property "spouse" (P26), significant place
6. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): full name of a person at birth, if different from their current, generally used name, name
7. connects with, also known as contacts, couples with, intersects at grade, links to, mates with (wd:P2789 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): item with which the item is physically connected, physically interacts with
8. companion of, also known as has astronomical companion, has companion, companion, astronomic companion of, astronomic companion (wd:P399 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): two or more astronomic bodies of the same type relating to each other
9. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
10. relation (wd:P2309 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): qualifier to define a property constraint in combination with P2...h the property "relative" is "type of kinship" (P1039), not this

[Assistant]
The correct property for "spouse" is wd:P26.

Now, I will construct a SPARQL query to find the spouse(s) of Nicolas Cage (wd:Q42869) using the property "spouse" (wdt:P26). I will also try to retrieve the labels of the spouses for better readability, but the main result will be the IRIs.

Here is the query I will use:
```
SELECT ?spouse ?spouseLabel WHERE {
  wd:Q42869 wdt:P26 ?spouse .
  OPTIONAL { ?spouse rdfs:label ?spouseLabel . FILTER(LANG(?spouseLabel) = "en") }
}
```
Now, I will execute this query.

[Tool]
Got 5 rows and 2 columns:
| spouse                          | spouseLabel             |
| ------------------------------- | ----------------------- |
| Erika Koike (wd:Q109355321)     | Erika Koike (en)        |
| Riko Shibata (wd:Q109355504)    | Riko Shibata (en)       |
| Alice Kim Cage (wd:Q12606061)   | Alice Kim Cage (en)     |
| Patricia Arquette (wd:Q215976)  | Patricia Arquette (en)  |
| Lisa Marie Presley (wd:Q237324) | Lisa Marie Presley (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the IRIs of all individuals Nicolas Cage has been married to, and optionally includes their English labels. The answer accurately reflects the query results and the query follows all required guidelines. No further refinement is needed.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?placeOfBirth ?placeOfBirthLabel WHERE {
  wd:Q206939 wdt:P19 ?placeOfBirth .
  OPTIONAL {
    ?placeOfBirth rdfs:label ?placeOfBirthLabel .
    FILTER ( lang( ?placeOfBirthLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| placeOfBirth    | placeOfBirthLabel |
| --------------- | ----------------- |
| London (wd:Q84) | London (en)       |

Elvis Costello was born in London (wd:Q84).

[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 http://amur:7001

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

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

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

[User] where was elvis costello born?

[Assistant]
Let's break down the question:

1. The entity is "Elvis Costello".
2. The property is "place of birth".

First, I will search for the entity "Elvis Costello" in Wikidata to get its identifier.

[Tool]
Top 10 entity alternatives:
1. Elvis Costello, also known as Declan MacManus, Declan Patrick MacManus (wd:Q206939): English singer-songwriter (born 1954), record producer, songwriter, guitarist, singer
2. Elvis Costello (wd:Q107119978): lithograph at the Museum of Modern Art; unknown designer
3. Elvis Costello (wd:Q125462686): written work by Eduardo Margaretto Kohrmann
4. Elvis Costello (wd:Q125462696): 1993 edition of written work by Eduardo Margaretto Kohrmann
5. Elvis Costello (wd:Q28052324): painting by Adam Birtwistle
6. Spectacle: Elvis Costello with... (wd:Q7575075): television series
7. Elvis Costello Band concert (wd:Q99322922): Elvis Costello Band concert performed during Montreux Jazz Festival the 1989-07-11
8. Elvis Costello Solo concert (wd:Q99429372): Elvis Costello Solo concert performed during Montreux Jazz Festival the 1989-07-11
9. Elvis Costello & the Attractions, also known as Elvis Costello and the Attractions, Nick Lowe And His Sound (wd:Q7714866): UK musical group
10. Elvis Costello with Steve Nieve (wd:Q105091759): print by Jenny Gill

[Assistant]
The most relevant entity for "Elvis Costello" the musician is wd:Q206939.

Next, I need to find the property for "place of birth". I will search for properties related to "place of birth".

[Tool]
Top 10 property alternatives:
1. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): most specific known birth location of a person, animal or fictional character, location
2. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): date on which the subject was born, inception
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): the object is a country that recognizes the subject as its citizen, country
4. birthday, also known as b-day, bday, birth day (wd:P3150 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., date of birth
5. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): full name of a person at birth, if different from their current, generally used name, name
6. category for people born here, also known as category for place of birth, category of people born here (wd:P1464 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): category item that groups people born in this place, related category
7. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): place where a statement is valid, applies to part
8. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
9. country, also known as sovereign state, state, land, host country (wd:P17 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
10. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): what the place, monument, memorial, or holiday, commemorates, main subject

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

Now, I will construct a SPARQL query to find the place of birth of Elvis Costello (wd:Q206939) using the property "place of birth" (wd:P19). I will also try to get the label of the place for readability, but will keep it optional as per the instructions.

[Tool]
Got 1 row and 2 columns:
| placeOfBirth    | placeOfBirthLabel |
| --------------- | ----------------- |
| London (wd:Q84) | London (en)       |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the place of birth for Elvis Costello (wd:Q206939) using the property wdt:P19. The query returns the IRI of the birthplace (wd:Q84 for London) and optionally its English label. The answer matches the execution result and follows the required guidelines. No further refinement is needed.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?movie ?movieLabel WHERE {
  ?movie wdt:P161 wd:Q187038 .
  ?movie wdt:P31 wd:Q11424 .
  OPTIONAL {
    ?movie rdfs:label ?movieLabel FILTER ( lang( ?movieLabel ) = "en" )
  }
}

Got 104 rows and 2 columns, showing the first 5 and last 5 rows below:
| movie                             | movieLabel               |
| --------------------------------- | ------------------------ |
| Think Big (wd:Q1031705)           | Think Big (en)           |
| Death Race (wd:Q1033191)          | Death Race (en)          |
| The Misfit Brigade (wd:Q10478647) | The Misfit Brigade (en)  |
| Deathsport (wd:Q1134750)          | Deathsport (en)          |
| Crank: High Voltage (wd:Q1138916) | Crank: High Voltage (en) |
| ...                               | ...                      |
| Mean Streets (wd:Q841335)         | Mean Streets (en)        |
| True Legend (wd:Q910896)          | True Legend (en)         |
| Kill Bill: Volume 2 (wd:Q928019)  | Kill Bill: Volume 2 (en) |
| Big Stan (wd:Q939728)             | Big Stan (en)            |
| Behind Enemy Lines (wd:Q946863)   | Behind Enemy Lines (en)  |

This query returns all movies in which David Carradine played, along with their IRIs and English titles for easier interpretation.

[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 http://amur:7001

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 movies did david carradine play in?

[Assistant]
Let's break down the question:

1. The user wants to know the movies in which David Carradine played.
2. First, I need to identify the entity for "David Carradine" in Wikidata.
3. Then, I need to find the property that links an actor to movies they acted in (likely "cast member" or similar).
4. Finally, I will construct a SPARQL query to retrieve the movies where David Carradine was an actor.

First, let's search for "David Carradine" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. David Carradine, also known as John Arthur Carradine (wd:Q187038): American actor (1936–2009), television producer, television actor, character actor, film director, film producer, screenwriter, voice actor, film actor, director, actor
2. David Carradine, also known as David M. Carradine, D. Carradine (wd:Q123597734): structural engineer at BRANZ in New Zealand, structural engineer
3. David Carradine, Actor, Is Dead at 72 (wd:Q123708760): The New York Times article (June 5, 2009)
4. David, also known as David, King of Israel, King David, Dawud re d'Israele, Nabi Dawud King of Israel, sweet singer of Israel (wd:Q41370): king of Israel and Judah, instrumentalist, monarch, warlord, herder, ruler, poet
5. Jacques-Louis David, also known as J.-L. David, Louis David, L. David, J.L. David, J. L. David (wd:Q83155): architectural draftsperson, French painter (1748–1825), politician, painter
6. David, also known as David by Michelangelo, Michelangelo's David, David of Michelangelo, Michaelangelo's David (wd:Q179900): sculpture by Michelangelo
7. Saint David, also known as St. David, St David, David of Wales, Dewi, David (wd:Q331697): patron saint of Wales, Catholic bishop, Catholic priest
8. David, also known as David, Chiriquí, San José de David (wd:Q279009): capital of the province of Chiriquí, Panama
9. Gerard David, also known as Gheeraert Davidt, Gheeraedt David, Gheeraert David, Gheeraedt Davit, Gheeraedt Davidt (wd:Q333380): Early Netherlandish painter, (c. 1460–1523), draftsperson, illuminator, painter, artist
10. Armand David, also known as Pere David, Jean-Pierre-Armand David, David, Père David, Jean Pierre Armand David (wd:Q346939): French Catholic priest, zoologist, and botanist (1826–1900), Catholic priest, ornithologist, missionary, zoologist, botanist, explorer

[Assistant]
The most relevant entity for "David Carradine" the actor is wd:Q187038.

Next, I need to find the property that links an actor to the movies they acted in. This is typically something like "cast member" (P161) or "actor" (P161), but I should verify the correct property by searching for properties related to "filmography" or "cast member".

I'll search for properties related to "filmography".

[Tool]
Top 10 property alternatives:
1. filmography, also known as list of films with the person, list of films the person contributed to, list of films about the person (wd:P1283 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): item for the list of films a person has contributed to. Don't us...mber" (P161) on items for films, directors with "director" (P57), list of works
2. cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
3. list of works, also known as jikọọ na isiokwu na ọrụ nke mmadụ; jiri P358 mee ihe ngosi (wd:P1455 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): link to the article with the works of a person; use P358 for discographies, has list
4. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
5. has list, also known as list, topic's list, topic list, related list, list for this topic (wd:P2354 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): Wikimedia list related to this subject
6. category for films in this language, also known as category for movies in this language (wd:P5996 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): link to category entity contains films in this language, related category
7. number of parts of this work, also known as number of movements, number of parts of this work of art, number of pictures, number of scenes, number of segments of anthology film (wd:P2635 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): the number of parts that a work comprises
8. TMDB collection ID, also known as The Movie Database film series ID, The Movie Database franchise ID, themoviedb.org collection ID, themoviedb.org film series ID, themoviedb.org franchise ID (wd:P11805 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): identifier for a film series at The Movie Database
9. TMDB movie ID, also known as The Movie Database film ID, TMDb film ID, themoviedb.org movie ID, The Movie Database movie ID, themoviedb.org film ID (wd:P4947 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): identifier for a movie at The Movie Database
10. category for films shot at this location, also known as category of films shot at this location, films shot at this location, cfsi, cff, cat films shot (wd:P1740 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): the object is a category for films shot at or in the subject, related category

[Assistant]
The most relevant property for linking an actor to the movies they acted in is "cast member" (wd:P161). However, this property is used on the movie item, pointing to the actor.

So, to find all movies David Carradine played in, I need to find all items where:
- The item is a film (instance of: film)
- The item has "cast member" (P161) David Carradine (wd:Q187038)

Now, I'll construct a SPARQL query to retrieve all such movies, returning their IRIs and optionally their labels.

[Tool]
Got 104 rows and 2 columns, showing the first 5 and last 5 rows below:
| movie                             | movieLabel               |
| --------------------------------- | ------------------------ |
| Think Big (wd:Q1031705)           | Think Big (en)           |
| Death Race (wd:Q1033191)          | Death Race (en)          |
| The Misfit Brigade (wd:Q10478647) | The Misfit Brigade (en)  |
| Deathsport (wd:Q1134750)          | Deathsport (en)          |
| Crank: High Voltage (wd:Q1138916) | Crank: High Voltage (en) |
| ...                               | ...                      |
| Mean Streets (wd:Q841335)         | Mean Streets (en)        |
| True Legend (wd:Q910896)          | True Legend (en)         |
| Kill Bill: Volume 2 (wd:Q928019)  | Kill Bill: Volume 2 (en) |
| Big Stan (wd:Q939728)             | Big Stan (en)            |
| Behind Enemy Lines (wd:Q946863)   | Behind Enemy Lines (en)  |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query is mostly correct and returns the IRIs of all movies where David Carradine is a cast member, which is what the question asks. However, to make the results more user-friendly, it would be helpful to include the movie labels (titles) in the output. This can be done by adding an OPTIONAL clause to retrieve the rdfs:label for each movie. This refinement would not change the correctness of the query but would improve its usability and readability for users who want to see the movie names directly in the result.

[Assistant]
Thank you for your feedback. I agree that including the movie labels (titles) would make the results more user-friendly. Here is the refined SPARQL query that includes the movie IRIs and their English labels (titles) using an OPTIONAL clause:

```sparql
SELECT ?movie ?movieLabel WHERE {
  ?movie wdt:P161 wd:Q187038 .
  ?movie wdt:P31 wd:Q11424 .
  OPTIONAL { ?movie rdfs:label ?movieLabel FILTER (lang(?movieLabel) = "en") }
}
```

This query will return both the IRIs of the movies David Carradine played in and their English titles, making the results easier to interpret.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct and complete for the user's question. It retrieves all movies (wd:Q11424) where David Carradine (wd:Q187038) is a cast member (wdt:P161), and it optionally includes English labels for easier interpretation. The query returns the IRIs as required and does not use any unsupported features. The answer is accurate and meets all requirements.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?government WHERE {
  wd:Q155 wdt:P122 ?government .
}

Got 3 rows and 1 column:
| government                            |
| ------------------------------------- |
| representative democracy (wd:Q188759) |
| presidential system (wd:Q49892)       |
| federal republic (wd:Q512187)         |

Brazil has the following types of political system: representative democracy, presidential system, and federal republic.

[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 http://amur:7001

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 type of political system is brazil?

[Assistant]
Let's break down the question:

1. We need to identify the entity for "Brazil".
2. We need to find the property that links a country to its "political system" or "form of government".
3. We will then write a SPARQL query to retrieve the political system(s) of Brazil.

First, let's search for the entity "Brazil" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Brazil, also known as Federative Republic of Brazil, Brasil, br (wd:Q155): country in South America
2. Brazil, also known as br, Brasil, Federative Republic of Brazil (wd:Q155): country in South America
3. Brazil (wd:Q25057): 1985 dystopian film by Terry Gilliam
4. Brazil, also known as Brazil, Indiana, Brazil, IN (wd:Q1998364): city in Clay County, Indiana, United States
5. State of Brazil, also known as Brazil, Colonial Brazil, Portuguese Brazil (wd:Q11876909): state of the Portuguese Empire
6. Brazil, also known as Stars and Guitars (wd:Q4958616): 1944 film by Joseph Santley
7. Brazil, also known as Brazil, IA (wd:Q17511873): human settlement in Appanoose County, Iowa, United States
8. Viceroyalty of Brazil, also known as Brasil, Brazil (wd:Q2920081): Portuguese viceroyalty in Brazil 1763-1815
9. Brazil (wd:Q13581616): 1991 song by Bebi Dol
10. Brazil (wd:Q4095706): 1994 novel by John Updike

[Assistant]
The correct entity for the country Brazil is wd:Q155.

Next, we need to find the property that describes the "political system" or "form of government" of a country. Let's search for properties related to "political system" and "form of government".

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

[Assistant]
The most relevant property for describing the political system or form of government of a country is "basic form of government" (wd:P122).

Now, I will write a SPARQL query to retrieve the "basic form of government" of Brazil (wd:Q155), and include optional labels for readability.

[Tool]
Got 3 rows and 2 columns:
| government                            | governmentLabel               |
| ------------------------------------- | ----------------------------- |
| representative democracy (wd:Q188759) | representative democracy (en) |
| presidential system (wd:Q49892)       | presidential system (en)      |
| federal republic (wd:Q512187)         | federal republic (en)         |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the types of political system for Brazil by querying the 'form of government' property (wd:P122) for the entity Brazil (wd:Q155). The answer accurately reflects the returned results. The query returns the IRIs of the government types as required. No further refinement is needed.


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

The big earthquake hit San Francisco 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 http://amur:7001

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 big earthquake hit san francisco?

[Assistant]
Let's break down the question:

1. The user is asking about the date when a major earthquake hit San Francisco.
2. We need to identify the specific earthquake (likely the 1906 San Francisco earthquake, but we should verify).
3. We need to find the property for "point in time" or "date" of the earthquake event.

Step 1: Search for the entity "big earthquake san francisco" to identify the relevant earthquake event in Wikidata.

[Tool]
Top 10 entity alternatives:
1. The Big Picture: San Francisco Earthquake (wd:Q110056932): sketch from Saturday Night Live
2. 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
3. 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
4. 1989 Loma Prieta earthquake, also known as 1989 San Francisco earthquake, Loma Prieta earthquake (wd:Q1053476): major earthquake in northern California
5. 1957 San Francisco earthquake (wd:Q20312370)
6. Earthquake waves at San Francisco (wd:Q80986050): scientific article published on 01 February 1884
7. The Great San Francisco Earthquake (wd:Q125816606): scientific article published in 1988
8. The San Francisco earthquake of 1906 (wd:Q58176314): scholarly article by Dennis R. Dean published November 1993 in Annals of Science
9. Saints and the San Francisco earthquake (wd:Q57138167): scientific article published on 01 January 1983
10. The Big One: San Francisco/Los Angeles (wd:Q3985961): album by various artists

[Assistant]
The most relevant entity for "the big earthquake" that hit San Francisco is the "1906 San Francisco earthquake" (wd:Q211386), which is widely known as the major earthquake event in San Francisco's history.

Next, I need to find the property that gives the date or point in time when this earthquake occurred. I will search for properties related to "date" or "point in time" for this entity.

[Tool]
Top 10 property alternatives:
1. point in time, also known as at time, as of, year, when, time of event (wd:P585 as p/wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
2. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as p/wdt): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
3. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
4. 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 p/wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
5. video, also known as gif, animation, trailer, media (wd:P10 as p/wdt): relevant video. For images, use the property P18. For film trailers, qualify with "object has role" (P3831)="trailer" (Q622550)
6. has cause, also known as implied by, originated due to, initial cause, outcome of, reason (wd:P828 as p/wdt): underlying cause, entity that ultimately resulted in this effect, follows
7. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
8. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
9. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
10. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment

No other items found

[Assistant]
The property "point in time" (wdt:P585) is the most appropriate to retrieve the date when the 1906 San Francisco earthquake occurred.

Now, I will construct a SPARQL query to get the value of wdt:P585 for wd:Q211386 (1906 San Francisco earthquake). I will also optionally retrieve a label for the date for clarity.

[Tool]
Got 1 row and 1 column:
| date                                |
| ----------------------------------- |
| 1906-04-18T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the date of the 1906 San Francisco earthquake (wd:Q211386) using the appropriate property for point in time (wdt:P585). The result matches the expected answer, and the query returns the actual IRI for the event and the date. No further refinement is needed.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?laos ?coordinate ?label WHERE {
  VALUES ?laos {
    wd:Q819
  }
  ?laos wdt:P625 ?coordinate .
  OPTIONAL {
    ?laos rdfs:label ?label FILTER ( lang( ?label ) = "en" )
  }
}

Laos is located at approximately latitude 18.2, longitude 104.1 on the world map.

[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 http://amur:7001

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 laos in world map?

[Assistant]
Let's break down the question:

1. The user wants to know the location of Laos on the world map.
2. This implies we need to find the entity for "Laos" and retrieve its geographic coordinates or location information.
3. In Wikidata, countries typically have geographic coordinates (property "coordinate location", likely P625).

First, I will search for the entity "Laos" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Laos, also known as LAO, Lao PDR, Lao People's Democratic Republic, la (wd:Q819): country in Southeast Asia
2. Tai peoples, also known as Laos, Shans (wd:Q703353): ethnic group
3. Laotians, also known as Lao, Laos (wd:Q11346642): citizens or residents of Laos
4. Laos (wd:Q28322504): family name
5. Laos (wd:Q3217694): German hard rock band
6. Laos (wd:Q103947900): encyclopedia article
7. Laos. (wd:Q47411910): scientific article published in May 1986
8. Laos (wd:Q59597671): Congressional Research Service report
9. Laos (wd:Q58675659): scholarly article
10. Laos (wd:Q130900075): scientific article published in January 2003

[Assistant]
The most relevant entity for "Laos" as a country is wd:Q819.

Next, I need to find the property for geographic coordinates. This is typically "coordinate location" (likely P625), but I will confirm by searching for properties related to "coordinate" to ensure accuracy.

[Tool]
Top 10 property alternatives:
1. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
2. this zoological name is coordinate with, also known as coordinate name (wd:P2743 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): links coordinate zoological names, different from
3. time index, also known as time coordinate, timestamp, temporal coordinate, relative time (wd:P4895 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): indicate when something happens relative to its beginning
4. genomic start, also known as start coordinate, genomic from, Genloc From, from, Genloc Start (wd:P644 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): genomic starting coordinate of the biological sequence (e.g. a gene)
5. spatial reference system, also known as coordinate reference system, CRS, SRS (wd:P3037 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): frame of reference used to produce a map
6. y-offset, also known as ordinate, y-axis (wd:P8685 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): offset on the y-axis or secondary axis
7. genomic end, also known as stop coordinate, stop, genomic stop, Genloc End, Genloc Stop (wd:P645 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): genomic ending coordinate of the biological sequence (e.g. a gene)
8. ranking, also known as peak position, place, placing, position, rank (wd:P1352 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): subject's ordinal position as qualitatively evaluated relative to other members of a group
9. political alignment, also known as political position, alignment (wd:P1387 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): political position within the left–right political spectrum
10. orientation, also known as alignment, direction, face, faces, facing (wd:P7469 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): axis of alignment of an item, or direction perpendicular to its primary face (specify with P518 if necessary)

[Assistant]
The correct property for geographic coordinates is "coordinate location" (wdt:P625).

Now, I will construct a SPARQL query to retrieve the coordinate location of Laos (wd:Q819). I will also optionally retrieve its label for clarity.

[Tool]
Got 1 row and 3 columns:
| laos           | coordinate                                   | label     |
| -------------- | -------------------------------------------- | --------- |
| Laos (wd:Q819) | POINT(104.100000 18.200000) (geo:wktLiteral) | Laos (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the geographic coordinates (latitude and longitude) of Laos using its Wikidata entity and the coordinate location property. The query also optionally retrieves the English label for Laos. The answer provided accurately reflects the result of the query. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?placeOfDeath ?placeOfDeathLabel WHERE {
  wd:Q1035 wdt:P20 ?placeOfDeath .
  OPTIONAL {
    ?placeOfDeath rdfs:label ?placeOfDeathLabel .
    FILTER ( lang( ?placeOfDeathLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| placeOfDeath             | placeOfDeathLabel |
| ------------------------ | ----------------- |
| Down House (wd:Q3038318) | Down House (en)   |

Charles Darwin died at Down House (wd:Q3038318).

[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 http://amur:7001

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 did charles darwin die?

[Assistant]
Let's break down the question:

1. The entity is "Charles Darwin".
2. The property we are interested in is "place of death".

First, I will search for the entity "Charles Darwin" in Wikidata to get its identifier.

[Tool]
Top 10 entity alternatives:
1. Charles Darwin (wd:Q1035): English naturalist and biologist (1809–1882), travel writer, philosopher, ethologist, naturalist, geologist, botanist, explorer, writer
2. Charles Galton Darwin, also known as Sir Charles Galton Darwin, Charles Darwin (wd:Q1064506): British physicist (1887–1962), university teacher, physicist
3. Charles Darwin (wd:Q5076724): oldest son of Erasmus Darwin and uncle of the naturalist Charles Darwin, physician, writer
4. Darwin, Charles (wd:Q107131027): entry in Alumni Oxonienses: the Members of the University of Oxford, 1715-1886
5. Charles Darwin (wd:Q5076728): British flying ace, military personnel
6. Charles Darwin, also known as Charles Darwin, Northern Territory, Charles Darwin, Northern Territory, Australia (wd:Q5076727): location in Northern Territory, Australia
7. Charles Darwin (wd:Q15873833): album by XII Alfonso
8. Charles Darwin (wd:Q19153034): German article in Die Gartenlaube, 1882, no. 19
9. Charles Darwin (wd:Q52450322): scientific article published in June 1972
10. Charles Darwin (wd:Q49071987): scientific article published in January 1990

[Assistant]
The most relevant entity for "Charles Darwin" the naturalist is wd:Q1035.

Next, I need to find the property for "place of death". I will search for properties related to "place of death".

[Tool]
Top 10 property alternatives:
1. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
2. place of burial, also known as interment, interment location, interment place, interred at, location of burial (wd:P119 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): location of grave, resting place, place of ash-scattering, etc. ...veral places: e.g., re-burials, parts of body buried separately., location
3. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): dissolved, abolished or demolished date, date on which the subject died, end time
4. category for people who died here, also known as category for place of death, category of people who died here (wd:P1465 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): category item for people who died in this location, related category
5. manner of death, also known as type of death, nature of death, death manner, death type, circumstance of death (wd:P1196 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): general circumstances of a person's death; e.g. natural causes, ...ysiological mechanism, e.g. heart attack, trauma, pneumonia etc.
6. number of deaths, also known as dead, qty fatalities, qty deaths, number of fatalities, fatalities (wd:P1120 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): total (cumulative) number of people who died since start as a direct result of an event or cause
7. category for people buried here, also known as buried here: Wikimedia category for, category of people buried here, category for place of burial, category for burials (wd:P1791 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): Wikimedia category for people with a burial site within this area, related category
8. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
9. date of burial or cremation, also known as burial date, cremation date, date of cremation, funeral date (wd:P4602 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): date on which the person was buried or cremated soon after death, point in time
10. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): what the place, monument, memorial, or holiday, commemorates, main subject

[Assistant]
The property "place of death" corresponds to wd:P20.

Now, I will construct a SPARQL query to find the place of death for Charles Darwin (wd:Q1035) using the property "place of death" (wdt:P20). I will also try to get the label of the place for readability, but the main result will be the IRI.

Here is the query I will use:
```
SELECT ?placeOfDeath ?placeOfDeathLabel WHERE {
  wd:Q1035 wdt:P20 ?placeOfDeath .
  OPTIONAL { ?placeOfDeath rdfs:label ?placeOfDeathLabel . FILTER (lang(?placeOfDeathLabel) = "en") }
}
```
I will now execute this query.

[Tool]
Got 1 row and 2 columns:
| placeOfDeath             | placeOfDeathLabel |
| ------------------------ | ----------------- |
| Down House (wd:Q3038318) | Down House (en)   |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the place of death for Charles Darwin using the appropriate property (wdt:P20) and entity (wd:Q1035). The query also optionally retrieves the English label for the place of death. The answer provided matches the query result and is accurate. No further refinement is needed.