PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?occupation WHERE {
  wd:Q651203 wdt:P106 ?occupation .
}

George Wilson is a basketball player.

[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 does george wilson do for a living?

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

[Tool]
Example 1:
Question:
who plays paul blart?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?p p:P161 ?y .
  ?y ps:P161 ?x ; pq:P453 wd:Q55730078 .
}

Using entities:
Paul Blart (wd:Q55730078): title character from Paul Blart, police officer

Using properties:
cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as ps/p): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
character role, also known as role, plays, performer of, as, acting role (wd:P453 as pq): specific role played or filled by subject -- use only as qualifier of "cast member" (P161), "voice actor" (P725)

Example 2:
Question:
who all has kim kardashian dated?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q186304 wdt:P451 | wdt:P26 ?x .
}

Using entities:
Kim Kardashian, also known as Kim Kardashian West, Kim K, Kim K., Kimberly Noel Kardashian-West, Kim Kardashian-West (wd:Q186304): American media personality, businesswoman, model and actress (born 1980), erotic photography model, television producer, fashion designer, entrepreneur, voice actor, celebrity, socialite, blogger, actor, model

Using properties:
spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as wdt): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
unmarried partner, also known as romantic partner, partner of, partners, posslq, relationship (wd:P451 as wdt): someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples, significant person

Example 3:
Question:
where does sally pearson live?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q6026 wdt:P551 ?x .
}

Using entities:
Sally Pearson (wd:Q6026): Australian short-distance runner and hurdler, athletics competitor

Using properties:
residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as wdt): the place where the person is or has been, resident, location

[Assistant] Based on the examples, we need to identify the entity for George Wilson and then look for his occupation or job. Let's first search for the entity "George Wilson".

[Tool]
Top 10 entity alternatives:
1. Ajita Wilson, also known as George Wilson (wd:Q164526): American actress (1950–1987), pornographic actor, actor
2. George Wilson (wd:Q651203): basketball player from the United States born in 1942, basketball player
3. George A. Wilson, also known as George Allison Wilson, George Wilson (wd:Q382688): American politician (1884-1953), politician, lawyer, judge
4. George Washington Wilson, also known as George Wilson, G. W. Wilson, George W. Wilson (wd:Q2179710): Scottish painter and photographer (1823-1893), businessperson, photographer, painter
5. George Wilson (wd:Q5546405): English footballer (1892-1961), association football player
6. George Wilson (wd:Q5546401): American football coach (1914-1978), American football player, American football coach, basketball player
7. George Wilson, also known as George Washington Wilson, Teddy Wilson (wd:Q5546410): baseball outfielder from the United States (1925-1974), baseball player
8. George Wilson, also known as George Patterson Wilson (wd:Q18392304): Australian footballer (1920-2014), Australian rules football player
9. George Wilson, also known as George Charles Lee Wilson (wd:Q18129280): New Zealand cricketer (1887-1917), cricketer
10. George Wilson, also known as Wilson, George, 1818-1859 (wd:Q14949042): Scottish chemist, Regius Professor of Technology at the University of Edinburgh (1818-1859), chemist

[Assistant]
Given the list of entities, it seems like we need more context to determine which "George Wilson" is being referred to. However, since the question asks about his occupation, let's try to find the most common occupation among these entities and see if it fits the context. We'll start with the first entity, Ajita Wilson (George Wilson), and check her occupation.

Let's run a SPARQL query to find the occupation of Ajita Wilson (George Wilson).

```sparql
SELECT ?occupation WHERE {
  wd:Q164526 wdt:P106 ?occupation .
}
```

This query will return the occupation of Ajita Wilson (George Wilson). If this doesn't seem correct, we can try the next entity.

[Tool]
Got 2 rows and 1 column:
| occupation                      |
| ------------------------------- |
| actor (wd:Q33999)               |
| pornographic actor (wd:Q488111) |

[Assistant]
The occupations of Ajita Wilson (George Wilson) are "actor" and "pornographic actor". This might not be the George Wilson the user is referring to, so let's try the next entity, George Wilson (wd:Q651203), who is a basketball player.

We'll run a SPARQL query to find the occupation of George Wilson (wd:Q651203).

```sparql
SELECT ?occupation WHERE {
  wd:Q651203 wdt:P106 ?occupation .
}
```

This query will return the occupation of George Wilson (wd:Q651203).

[Tool]
Got 1 row and 1 column:
| occupation                      |
| ------------------------------- |
| basketball player (wd:Q3665646) |

[Assistant]
The occupation of George Wilson (wd:Q651203) is "basketball player". This might be the George Wilson the user is referring to, but let's check a few more entities to ensure we have the right one.

Next, let's try George A. Wilson (wd:Q382688), who is an American politician.

We'll run a SPARQL query to find the occupation of George A. Wilson (wd:Q382688).

```sparql
SELECT ?occupation WHERE {
  wd:Q382688 wdt:P106 ?occupation .
}
```

This query will return the occupation of George A. Wilson (wd:Q382688).

[Tool]
Got 3 rows and 1 column:
| occupation             |
| ---------------------- |
| judge (wd:Q16533)      |
| lawyer (wd:Q40348)     |
| politician (wd:Q82955) |

[Assistant]
The occupations of George A. Wilson (wd:Q382688) are "judge", "lawyer", and "politician". This might be the George Wilson the user is referring to, but let's check one more entity to be thorough.

Next, let's try George Washington Wilson (wd:Q2179710), who is a Scottish painter and photographer.

We'll run a SPARQL query to find the occupation of George Washington Wilson (wd:Q2179710).

```sparql
SELECT ?occupation WHERE {
  wd:Q2179710 wdt:P106 ?occupation .
}
```

This query will return the occupation of George Washington Wilson (wd:Q2179710).

[Tool]
Got 3 rows and 1 column:
| occupation                 |
| -------------------------- |
| painter (wd:Q1028181)      |
| photographer (wd:Q33231)   |
| businessperson (wd:Q43845) |

[Assistant]
The occupations of George Washington Wilson (wd:Q2179710) are "painter", "photographer", and "businessperson".

Given the variety of occupations, it seems that the user might be referring to a different George Wilson. To provide a more accurate answer, we need more context about the specific George Wilson the user is asking about. However, based on the entities we have, the most common occupations are:

1. **Ajita Wilson (George Wilson)**: Actor, Pornographic Actor
2. **George Wilson**: Basketball Player
3. **George A. Wilson**: Judge, Lawyer, Politician
4. **George Washington Wilson**: Painter, Photographer, Businessperson

Since the user did not provide more context, I will assume the most likely scenario is the one with the most common occupation, which is "George Wilson" (wd:Q651203) as a basketball player.

Here is the final SPARQL query and answer:

```sparql
SELECT ?occupation WHERE {
  wd:Q651203 wdt:P106 ?occupation .
}
```

Answer: George Wilson is a basketball player.

If the user provides more context, we can refine the answer further.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query correctly identifies George Wilson's occupation as a basketball player, which is the answer to the user's question.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?state ?coordinates WHERE {
  wd:Q1319988 wdt:P131 ?county .
  ?county wdt:P131 ?state .
  wd:Q1319988 wdt:P625 ?coordinates .
}

The Chesapeake Bay Bridge is located in Maryland, and its coordinates are POINT(-76.372222 38.991667).

[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 chesapeake bay bridge?

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

[Tool]
Example 1:
Question:
what country is located in the balkan peninsula?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q23522 wdt:P17 ?x .
}

Using entities:
Balkans, also known as The Balkans, South Balkan area, Peninsula of Haemus, Balkanoid, Haemus Peninsula (wd:Q23522): geopolitical and cultural region of Southeast Europe

Using properties:
country, also known as sovereign state, state, land, host country (wd:P17 as wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity

Example 2:
Question:
who did stephenie meyer play in twilight?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q160071 p:P161 ?p .
  ?p ps:P161 wd:Q160219 ; pq:P453 ?x .
}

Using entities:
Twilight (wd:Q160071): 2008 American film directed by Catherine Hardwicke
Stephenie Meyer, also known as Stephenie Morgan Meyer (wd:Q160219): science fiction writer, film screenwriter, children's writer, American author, businessperson, film producer, screenwriter, entrepreneur, novelist, writer, actor

Using properties:
cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as ps/p): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
character role, also known as role, plays, performer of, as, acting role (wd:P453 as pq): specific role played or filled by subject -- use only as qualifier of "cast member" (P161), "voice actor" (P725)

Example 3:
Question:
what to do if you have one day in bangkok?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P31 / wdt:P279 * wd:Q570116 ; wdt:P131 wd:Q1861 .
}

Using entities:
Bangkok, also known as Bangkok, Thailand, Sia-Yut'hia, Krungthepmahanakhon Amonrattanak...it Sakkathattiyawitsanukamprasit, Krung Thep Maha Nakhon, Krung Thep (wd:Q1861): capital of Thailand
tourist attraction, also known as attraction for tourists, POI for tourists, tourism attraction, touristic attraction, tourist place (wd:Q570116): place of interest where tourists visit

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

[Assistant] Based on the examples, we need to identify the entity for Chesapeake Bay Bridge and the property for location. Let's start by searching for the entity "Chesapeake Bay Bridge".

[Tool]
Top 10 entity alternatives:
1. Chesapeake Bay Bridge, also known as Bay Bridge, Governor William Preston Lane Jr. Memorial Bridge, Gov. William Preston Lane Jr. Memorial Bridge, William Preston Lane Junior Memorial Bridge (wd:Q1319988): major dual-span bridge in the U.S. state of Maryland, spanning the Chesapeake Bay
2. Chesapeake Bay Bridge-Tunnel, also known as Lucius J. Kellam, Jr. Bridge-Tunnel, CBBT (wd:Q1070563): bridge-tunnel beginning in Chesapeake Bay, Virginia
3. Chesapeake Bay Bridge–Tunnel (wd:Q60094303): scholarly article
4. Chesapeake Bay Bridge and Tunnel (wd:Q114520613): episode of Modern Marvels (S8 E5)
5. Chesapeake Bay Bridge and Tunnel District (wd:Q5092828): political subdivision of Virginia
6. Chesapeake Bay (wd:Q216868): estuary in the U.S. states of Maryland, Delaware, District of Columbia, and Virginia
7. San Francisco–Oakland Bay Bridge, also known as Emperor Norton Bridge, Bay Bridge, San Francisco-Oakland Bay Bridge (wd:Q771404): suspension bridge connecting San Francisco and Oakland, California, USA
8. Yokohama Bay Bridge, also known as Bay Bridge (wd:Q1138655): cable-stayed bridge
9. Bridge Bay (wd:Q49374128): bay in Teton County, Wyoming, United States of America
10. Bay Bridge (wd:Q112811780): British racehorse

[Assistant]
The correct entity for Chesapeake Bay Bridge is `wd:Q1319988`. Now, let's find the property that represents the location of the bridge. We can use the property "located in the administrative territorial entity" (`wdt:P131`) or "coordinates" (`wdt:P625`).

Let's check the properties of the Chesapeake Bay Bridge to see which one is appropriate.

[Tool]
Top 10 property alternatives:
1. 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
2. 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
3. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as 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
4. 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
5. 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)
6. length, also known as size, long, LOA, distance, dimension (wd:P2043 as p/wdt): measured dimension of an object
7. height, also known as heighth, size, depth over terrain (wd:P2048 as p/wdt): vertical length of an entity, length

No other items found

[Assistant]
The properties `wdt:P131` (located in the administrative territorial entity) and `wdt:P625` (coordinate location) seem to be the most relevant for determining the location of the Chesapeake Bay Bridge.

Let's start by querying the administrative territorial entity where the Chesapeake Bay Bridge is located.

### Step 1: Query the administrative territorial entity
We will use `wdt:P131` to find the administrative territorial entity where the Chesapeake Bay Bridge is located.

```sparql
SELECT ?adminTerritory WHERE {
  wd:Q1319988 wdt:P131 ?adminTerritory .
}
```

Let's execute this query.

[Tool]
Got 2 rows and 1 column:
| adminTerritory                   |
| -------------------------------- |
| Anne Arundel County (wd:Q488701) |
| Queen Anne's County (wd:Q511150) |

[Assistant]
The Chesapeake Bay Bridge is located in two administrative territorial entities: Anne Arundel County (`wd:Q488701`) and Queen Anne's County (`wd:Q511100`).

Next, let's find the higher-level administrative entity (state) where these counties are located. We can use the same property `wdt:P131` to find the state.

### Step 2: Query the state where the counties are located
We will use `wdt:P131` again to find the state where Anne Arundel County and Queen Anne's County are located.

```sparql
SELECT ?state WHERE {
  VALUES ?county { wd:Q488701 wd:Q511150 }
  ?county wdt:P131 ?state .
}
```

Let's execute this query.

[Tool]
Got 2 rows and 1 column:
| state               |
| ------------------- |
| Maryland (wd:Q1391) |
| Maryland (wd:Q1391) |

[Assistant]
Both Anne Arundel County and Queen Anne's County are located in the state of Maryland (`wd:Q1391`).

To provide a more complete answer, let's also include the coordinates of the Chesapeake Bay Bridge. We can use the property `wdt:P625` to get the coordinates.

### Step 3: Query the coordinates of the Chesapeake Bay Bridge
We will use `wdt:P625` to find the coordinates of the Chesapeake Bay Bridge.

```sparql
SELECT ?coordinates WHERE {
  wd:Q1319988 wdt:P625 ?coordinates .
}
```

Let's execute this query.

[Tool]
Got 1 row and 1 column:
| coordinates                                  |
| -------------------------------------------- |
| POINT(-76.372222 38.991667) (geo:wktLiteral) |

[Assistant]
The coordinates of the Chesapeake Bay Bridge are `POINT(-76.372222 38.991667)`.

Now, let's combine all the information we have gathered into a single SPARQL query to provide a comprehensive answer to the user's question.

### Final SPARQL Query
We will select the state and coordinates of the Chesapeake Bay Bridge.

```sparql
SELECT ?state ?coordinates WHERE {
  wd:Q1319988 wdt:P131 ?county .
  ?county wdt:P131 ?state .
  wd:Q1319988 wdt:P625 ?coordinates .
}
```

Let's execute this final query.

[Tool]
Got 2 rows and 2 columns:
| state               | coordinates                                  |
| ------------------- | -------------------------------------------- |
| Maryland (wd:Q1391) | POINT(-76.372222 38.991667) (geo:wktLiteral) |
| Maryland (wd:Q1391) | POINT(-76.372222 38.991667) (geo:wktLiteral) |

[Assistant]
The Chesapeake Bay Bridge is located in Maryland, and its coordinates are `POINT(-76.372222 38.991667)`.

Since the query returns duplicate rows, we can use `DISTINCT` to ensure we get unique results.

### Final SPARQL Query with DISTINCT
```sparql
SELECT DISTINCT ?state ?coordinates WHERE {
  wd:Q1319988 wdt:P131 ?county .
  ?county wdt:P131 ?state .
  wd:Q1319988 wdt:P625 ?coordinates .
}
```

Let's execute this final query to ensure we get unique results.

[Tool]
Got 1 row and 2 columns:
| state               | coordinates                                  |
| ------------------- | -------------------------------------------- |
| Maryland (wd:Q1391) | POINT(-76.372222 38.991667) (geo:wktLiteral) |

[Assistant]
The final query has returned a unique result, confirming that the Chesapeake Bay Bridge is located in Maryland, and its coordinates are `POINT(-76.372222 38.991667)`.

### Final Answer
The Chesapeake Bay Bridge is located in Maryland, and its coordinates are `POINT(-76.372222 38.991667)`.

Here is the final SPARQL query:

```sparql
SELECT DISTINCT ?state ?coordinates WHERE {
  wd:Q1319988 wdt:P131 ?county .
  ?county wdt:P131 ?state .
  wd:Q1319988 wdt:P625 ?coordinates .
}
```

Let's provide the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The provided SPARQL query correctly identifies the state and coordinates of the Chesapeake Bay Bridge. The answer is accurate and complete.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?state WHERE {
  wd:Q734774 wdt:P131 ?city .
  ?city wdt:P131 ?state .
}

Saint Louis University is in the state of Missouri.

[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 state is saint louis university in?

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

[Tool]
Example 1:
Question:
where is azerbaijan?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q227 wdt:P30 ?x .
}

Using entities:
Azerbaijan, also known as az, AZE, Azərbaycan, Azərbaycan Respublikası, Republic of Azerbaijan (wd:Q227): country in the Caucasus in Eastern Europe and Western Asia

Using properties:
continent (wd:P30 as wdt): continent of which the subject is a part, located in/on physical feature

Example 2:
Question:
where did the massive allied invasion of northern france take place in june 1944?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q16471 wdt:P276 ?x .
}

Using entities:
Invasion of Normandy (wd:Q16471): 1944 invasion and establishment of Western Allied forces in Normandy during WWII

Using properties:
location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as 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

Example 3:
Question:
what highschool did bill gates graduated from?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q5284 wdt:P69 ?x .
  ?x wdt:P31 / wdt:P279 * wd:Q9826 .
}

Using entities:
Bill Gates, also known as William Henry "Bill" Gates III, William Henry Gates, William Henry Gates III, William H. Gates, William H. Gates III (wd:Q5284): American businessman, investor, and philanthropist (born 1955), philanthropist, entrepreneur, programmer
high school, also known as H.S., upper middle school, senior high school, HS (wd:Q9826): institution which provides all or part of secondary education

Using properties:
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as wdt): educational institution attended by subject, affiliation

[Assistant] From the examples, we can see that to find the location of something, we often use the property `P276` (location). Let's first search for the entity "Saint Louis University".

[Tool]
Top 10 entity alternatives:
1. Saint Louis University, also known as SLU, St. Louis University (wd:Q734774): private research university with campuses in St. Louis, Missouri, and Madrid, Spain
2. Saint Louis University, also known as SLU, St. Louis University (wd:Q7401676): university in Baguio, Philippines
3. Washington University in St. Louis, also known as WUSTL, WashU, Wash. U., Washington University in Saint Louis, Washington University (Saint Louis, Mo.) (wd:Q777403): private research university in St. Louis, Missouri, United States
4. Saint Louis Billikens, also known as Saint Louis University athletics (wd:Q7401655): athletic program of Saint Louis University
5. Saint Louis University Hospital, also known as Firmin Desloge Hospital, SLU Hospital (wd:Q7401677): hospital in Missouri, United States
6. Saint Louis University Bookstore (wd:Q99475974): bookshop in Saint Louis, MO, United States of America
7. Saint Louis University Madrid Campus (wd:Q4116998)
8. Maryville University, also known as Maryville College of the Sacred Heart, Maryville University of St. Louis, Maryville University of Saint Louis (wd:Q6781811): private university located in Missouri
9. University of Saint Louis Tuguegarao (wd:Q7896224): private university in the Philippines
10. Saint Louis University Law Journal (wd:Q15767443): journal

[Assistant] The top result is the correct entity for Saint Louis University (wd:Q734774). Now let's check if this entity has a location property (`P276`) and what it points to.

[Tool] Got no rows and 3 columns

[Assistant] It seems that Saint Louis University does not directly have a location property (`P276`). However, it might have a property indicating the city or state where it is located. Let's try searching for properties related to "state" or "city" for Saint Louis University.

[Tool]
Top 10 property alternatives:
1. 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
2. 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
3. member of, also known as band member of, membership, member of musical group, in musical group, be member of (wd:P463 as p/wdt): organization, club or musical group to which the subject belongs...ical position, such as a member of parliament (use P39 for that), part of
4. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
5. 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)
6. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
7. owner of, also known as owns, owns property, shareholder of (wd:P1830 as p/wdt): entities owned by the subject
8. 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
9. MusicBrainz place ID, also known as MBP, place MBID, place ID, MusicBrainz location ID, MB place id (wd:P1004 as wdtn/p/wdt): Identifier for a place in the MusicBrainz open music encyclopedia
10. 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)

No other items found

[Assistant] The property `P131` (located in the administrative territorial entity) seems to be the most relevant for finding the state where Saint Louis University is located. Let's check the value of this property for Saint Louis University.

[Tool]
Got 1 row and 3 columns:
| subject                             | property                                                    | object                |
| ----------------------------------- | ----------------------------------------------------------- | --------------------- |
| Saint Louis University (wd:Q734774) | located in the administrative territorial entity (wdt:P131) | St. Louis (wd:Q38022) |

[Assistant] The property `P131` (located in the administrative territorial entity) for Saint Louis University points to St. Louis (wd:Q38022). Now, let's find out which state St. Louis is in by checking the `P131` property for St. Louis.

[Tool]
Got 1 row and 3 columns:
| subject               | property                                                    | object              |
| --------------------- | ----------------------------------------------------------- | ------------------- |
| St. Louis (wd:Q38022) | located in the administrative territorial entity (wdt:P131) | Missouri (wd:Q1581) |

[Assistant]
St. Louis (wd:Q38022) is located in the administrative territorial entity Missouri (wd:Q1581). Therefore, Saint Louis University is in the state of Missouri.

Let's confirm this with a final SPARQL query that retrieves the state where Saint Louis University is located.

[Tool]
Got 1 row and 1 column:
| state               |
| ------------------- |
| Missouri (wd:Q1581) |

[Assistant]
The SPARQL query confirms that Saint Louis University is located in the state of Missouri.

Here is the final SPARQL query and answer:

```sparql
SELECT ?state WHERE {
  wd:Q734774 wdt:P131 ?city .
  ?city wdt:P131 ?state .
}
```

Answer: Saint Louis University is in the state of Missouri.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query effectively retrieves the state where Saint Louis University is located.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?team WHERE {
  wd:Q3887743 wdt:P54 ?team .
}

Got 3 rows and 1 column:
| team                             |
| -------------------------------- |
| Philadelphia Eagles (wd:Q219714) |
| Seattle Seahawks (wd:Q221878)    |
| Las Vegas Raiders (wd:Q324523)   |

Owen Schmitt has played for the Philadelphia Eagles, Seattle Seahawks, and Las Vegas Raiders.

[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] who does owen schmitt play for?

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

[Tool]
Example 1:
Question:
what clubs has peter crouch played for?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q180939 wdt:P54 ?x .
}

Using entities:
Peter Crouch, also known as Peter James Crouch (wd:Q180939): English association football player (born 1981), association football player, podcaster

Using properties:
member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as wdt): sports teams or clubs that the subject represents or represented, member of

Example 2:
Question:
when did braves win the world series?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?y wdt:P3450 wd:Q265538 ; wdt:P1346 wd:Q461595 ; wdt:P585 ?x .
}

Using entities:
World Series, also known as Fall Classic (wd:Q265538): Championship of Major League Baseball
Atlanta Braves, also known as Beaneaters, Rustlers, Milwaukee Braves, Doves, Braves (wd:Q461595): Major League Baseball team in Cumberland, Georgia

Using properties:
winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as wdt): winner of a competition or similar event, not to be used for awa...ssibly qualified with "for work" (P1686)) or for wars or battles, participating team, participant
sports season of league or competition, also known as sport season, seasons of, edition of annual athletics meeting, season of sports tournament, season of sports league (wd:P3450 as wdt): property that shows the competition of which the item is a season. Use P5138 for "season of club or team"., part of
point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)

Example 3:
Question:
who will play clary in city of bones?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q59346 p:P161 ?p .
  ?p ps:P161 ?x ; pq:P453 wd:Q65510149 .
}

Using entities:
The Mortal Instruments: City of Bones, also known as Mortal Instruments: City of Bones (wd:Q59346): 2013 film directed by Harald Zwart
Clary Fray, also known as Clarissa Adele Fairchild, Clary Morgenstern, Clary Fairchild, Clarissa Morgenstern, Clarissa Fairchild (wd:Q65510149): fictional character of the Shadowhunters series, demon hunter

Using properties:
cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as ps/p): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
character role, also known as role, plays, performer of, as, acting role (wd:P453 as pq): specific role played or filled by subject -- use only as qualifier of "cast member" (P161), "voice actor" (P725)

[Assistant] Based on the examples, we need to identify Owen Schmitt and the property that indicates the team he plays for. Let's start by searching for Owen Schmitt in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Owen Schmitt (wd:Q3887743): American football fullback, American football player
2. Richard Owen, also known as R. Owen, Owen, Richard, Prof OWEN F.R.S., Sir Richard Owen, Sir R. Owen (wd:Q151556): English biologist and paleontologist (1804–1892), paleoanthropologist, university teacher, paleontologist, zoologist, anatomist, biologist, curator, writer
3. Wilfred Owen, also known as Owen, Wilfred Edward Salter Owen (wd:Q212719): English poet and soldier (1893-1918), writer, poet
4. Owen (wd:Q81006): municipality in Germany
5. Owen, also known as City of Owen, Owen, WI (wd:Q1569456): city in Clark County, Wisconsin
6. Schmitt (wd:Q654052): municipality of Germany
7. Owain Owain, also known as Owen Owen (wd:Q3398027): Welsh novelist, short story writer and poet (1929–1993), nuclear physicist, educator, writer, poet
8. Schmitt (wd:Q2246512): family name
9. Owen, also known as Owen surname, Owen family name (wd:Q1158545): family name
10. Mount Owen, also known as Mount Owen (Antarctica), Owen (wd:Q6922630): mountain in Antarctica

[Assistant] The first result, Owen Schmitt (wd:Q3887743), seems to be the correct entity. Now let's confirm that this entity has a property indicating the team he plays for. We can use the `list` function to check the properties associated with Owen Schmitt.

[Tool]
Got 156 rows and 3 columns, showing the first 10 rows below:
| subject                    | property                         | object                                                                         |
| -------------------------- | -------------------------------- | ------------------------------------------------------------------------------ |
| Owen Schmitt (wd:Q3887743) | instance of (wdt:P31)            | human (wd:Q5)                                                                  |
| Owen Schmitt (wd:Q3887743) | occupation (wdt:P106)            | American football player (wd:Q19204627)                                        |
| Owen Schmitt (wd:Q3887743) | sex or gender (wdt:P21)          | male (wd:Q6581097)                                                             |
| Owen Schmitt (wd:Q3887743) | given name (wdt:P735)            | Owen (wd:Q3887735)                                                             |
| Owen Schmitt (wd:Q3887743) | date of birth (wdt:P569)         | 1985-02-13T00:00:00Z (xsd:dateTime)                                            |
| Owen Schmitt (wd:Q3887743) | Commons category (wdt:P373)      | Owen Schmitt                                                                   |
| Owen Schmitt (wd:Q3887743) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Owen%20Schmitt%202012.JPG> |
| Owen Schmitt (wd:Q3887743) | country of citizenship (wdt:P27) | United States (wd:Q30)                                                         |
| Owen Schmitt (wd:Q3887743) | family name (wdt:P734)           | Schmitt (wd:Q2246512)                                                          |
| Owen Schmitt (wd:Q3887743) | place of birth (wdt:P19)         | Gilman (wd:Q2222039)                                                           |
| ...                        | ...                              | ...                                                                            |

[Assistant] From the list of properties, we can see that Owen Schmitt is an American football player, but the team he plays for is not directly listed. The property `member of sports team` (P54) is commonly used to indicate the team a player is associated with. Let's check if Owen Schmitt has this property.

[Tool]
Got 3 rows and 3 columns:
| subject                    | property                        | object                           |
| -------------------------- | ------------------------------- | -------------------------------- |
| Owen Schmitt (wd:Q3887743) | member of sports team (wdt:P54) | Seattle Seahawks (wd:Q221878)    |
| Owen Schmitt (wd:Q3887743) | member of sports team (wdt:P54) | Philadelphia Eagles (wd:Q219714) |
| Owen Schmitt (wd:Q3887743) | member of sports team (wdt:P54) | Las Vegas Raiders (wd:Q324523)   |

[Assistant]
Owen Schmitt has been a member of multiple sports teams, including the Seattle Seahawks, Philadelphia Eagles, and Las Vegas Raiders. To provide a clear answer, we can construct a SPARQL query to list these teams.

Let's write the SPARQL query to retrieve the teams Owen Schmitt has played for.

[Tool]
Got 3 rows and 1 column:
| team                             |
| -------------------------------- |
| Philadelphia Eagles (wd:Q219714) |
| Seattle Seahawks (wd:Q221878)    |
| Las Vegas Raiders (wd:Q324523)   |

[Assistant]
The SPARQL query successfully retrieved the teams Owen Schmitt has played for. He has been a member of the Philadelphia Eagles, Seattle Seahawks, and Las Vegas Raiders.

Now, let's provide the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query returns the actual identifiers of the teams Owen Schmitt has played for, along with their labels, which are all the teams mentioned in the human-readable answer.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?religion ( COUNT( ?person ) AS ?count ) WHERE {
  ?person wdt:P140 ?religion .
  ?person wdt:P27 wd:Q801 .
}
GROUP BY ?religion
ORDER BY DESC ( ?count )
LIMIT 1

The predominant religion in Israel is Judaism.

[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 predominant religion in israel?

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

[Tool]
Example 1:
Question:
what is the currency used in tunisia?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q948 wdt:P38 ?x .
}

Using entities:
Tunisia, also known as Republic of Tunisia, tn, TUN, Tunisian Republic (wd:Q948): country in North Africa

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

Example 2:
Question:
what is molly ringwald in?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P161 wd:Q231460 ; wdt:P31 / wdt:P279 * wd:Q11424 .
}

Using entities:
film, also known as cinematic work, moving picture, movie, motion pictures, motion picture (wd:Q11424): sequence of images that give the impression of movement, stored on film stock
Molly Ringwald, also known as Molly Kathleen Ringwald (wd:Q231460): American actress, singer and author (1968-), translator, film actor, novelist, singer, dancer, writer

Using properties:
cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as wdt): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

Example 3:
Question:
what kind of government system does canada have?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q16 wdt:P122 ?x .
}

Using entities:
Canada, also known as CA, CAN, Dominion of Canada, ISO 3166-1:CA (wd:Q16): country in North America

Using properties:
basic form of government, also known as form of government, government, type of government (wd:P122 as wdt): subject's government

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

[Tool]
Top 10 entity alternatives:
1. Israel, also known as Yisrael, State of Israel, IL, ISR, il (wd:Q801): country in Western Asia
2. Jacob, also known as Yisrael, Ya'aqov, Yaakov, Ya'akov, Israel (wd:Q289957): in Genesis, a son of Isaac, also known as Israel; the patriarch of the Israelites, shepherd
3. Jozef Israëls, also known as jos. jsraels, jo.s israels, jos. israel, jos. israels, joseph israels (wd:Q528460): Dutch painter (1824-1911), lithographer, draftsperson, printmaker, painter
4. Jacob in Islam, also known as Yaʿqūb, Yaqub, Ya'qub, Israel (wd:Q2513598): Prophet and son of Isaac in Islam, prophet of Islam
5. Isaac Israëls, also known as Isaac Lazerus Israëls, Isaac Lazarus Israëls, Isaac Lazerus Israels, Isräel, Israels (wd:Q979534): Dutch painter associated with Amsterdam Impressionism (1865-1934), visual artist, draftsperson, photographer, lithographer, painter
6. Israel, also known as Israel (wd:Q2366978): name
7. WikiProject Israel, also known as Israel (wd:Q10781185): Wikimedia subject-area collaboration
8. Israel Houghton, also known as Israel, Isræl (wd:Q5814434): singer-songwriter, American musician, singer
9. Israel in the Eurovision Song Contest 2012, also known as Israel (wd:Q1588466)
10. Israel+, also known as TIN, The Israeli Network (wd:Q2896801): International television network

[Assistant] The correct entity for Israel is `wd:Q801`. Next, let's search for the property that represents the predominant religion of a country.

[Tool]
Top 10 property alternatives:
1. religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): religion of a person, organization or religious building, or associated with this subject
2. official religion, also known as established religion, state religion (wd:P3075 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): official religion in this administrative entity
3. located in the religious territorial entity, also known as Deanery, Vicariate, religious territorial entity, Parish, located in the ecclesiastical territorial entity (wd:P5607 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): the item is located on the territory of the following religious entity. Use P708 (diocese) for dioceses, location, part of
4. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
5. religious name, also known as baptismal name, monastic name, name in religion (wd:P1635 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): name taken or used as a member of a religious community
6. denomination (wd:P12949 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): value of a currency or type of currency
7. demographics of topic, also known as demography of topic (wd:P9241 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): item that deals with demographics of the subject
8. place of devotion (wd:P5873 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): place where a religious devotion was practiced and for which this devotional image (or text) was produced
9. prevalence (wd:P1193 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): portion in percent of a population with a given disease or disorder
10. worshipped by, also known as deity of (wd:P1049 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): religion or group/civilization that worships a given deity, part of

[Assistant] The property that seems most relevant for finding the predominant religion of a country is `official religion` (P3075). Let's check if this property is used for Israel.

[Tool]
Got 4 rows and 3 columns:
| subject          | property                      | object                  |
| ---------------- | ----------------------------- | ----------------------- |
| Israel (wd:Q801) | official religion (wdt:P3075) | Islam (wd:Q432)         |
| Israel (wd:Q801) | official religion (wdt:P3075) | Christianity (wd:Q5043) |
| Israel (wd:Q801) | official religion (wdt:P3075) | Judaism (wd:Q9268)      |
| Israel (wd:Q801) | official religion (wdt:P3075) | Druzism (wd:Q163943)    |

[Assistant]
It appears that Israel has multiple official religions listed, including Islam, Christianity, Judaism, and Druzism. However, the predominant religion is typically understood to be the one with the largest number of followers. To determine the predominant religion, we need to look at the demographic data for Israel.

Let's search for the property that represents the religious demographics of a country.

[Tool]
Top 10 property alternatives:
1. demographics of topic, also known as demography of topic (wd:P9241 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): item that deals with demographics of the subject
2. religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): religion of a person, organization or religious building, or associated with this subject
3. located in the religious territorial entity, also known as Deanery, Vicariate, religious territorial entity, Parish, located in the ecclesiastical territorial entity (wd:P5607 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): the item is located on the territory of the following religious entity. Use P708 (diocese) for dioceses, location, part of
4. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
5. tabular population, also known as population (wd:P4179 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): same as population (P1082); used when there is data for many different points in time
6. population, also known as inhabitants, human population (wd:P1082 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): number of people inhabiting the place; number of people of subject
7. population by native language, also known as native language population (wd:P12712 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): native language population of a place, population
8. female population (wd:P1539 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): number of female people inhabiting the place; number of female people of subject, population
9. has census, also known as has human population census (wd:P8701 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): general population census of the country or region
10. male population, also known as male inhabitants, number of males (wd:P1540 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): number of male people inhabiting the place; number of male people of subject, population

[Assistant]
The property `demographics of topic` (P9241) seems to be the closest match for religious demographics. However, it might not directly provide the specific religious breakdown. Instead, we can try to find the religious composition through other means, such as looking at the population by religion.

Let's search for the property that represents the population by religion.

[Tool]
Top 10 property alternatives:
1. religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): religion of a person, organization or religious building, or associated with this subject
2. located in the religious territorial entity, also known as Deanery, Vicariate, religious territorial entity, Parish, located in the ecclesiastical territorial entity (wd:P5607 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): the item is located on the territory of the following religious entity. Use P708 (diocese) for dioceses, location, part of
3. tabular population, also known as population (wd:P4179 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): same as population (P1082); used when there is data for many different points in time
4. population, also known as inhabitants, human population (wd:P1082 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): number of people inhabiting the place; number of people of subject
5. has census, also known as has human population census (wd:P8701 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): general population census of the country or region
6. official religion, also known as established religion, state religion (wd:P3075 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): official religion in this administrative entity
7. population by native language, also known as native language population (wd:P12712 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): native language population of a place, population
8. religious name, also known as baptismal name, monastic name, name in religion (wd:P1635 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): name taken or used as a member of a religious community
9. number of households, also known as dwellings, households (wd:P1538 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): total number of households in this place, includes dwellings of all types
10. rural population (wd:P6344 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): number of people living within the territorial entity who live in its rural parts, population

[Assistant]
It seems that there isn't a direct property for "population by religion." However, we can try to find the religious composition of Israel by looking at the population data and the religious affiliations of the people.

Let's try to find the religious composition of Israel by looking at the population data and the religious affiliations of the people in Israel.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that the query did not return any results, which suggests that the population data for Israel might not be structured in the way we expected. Let's try a different approach by looking at the religious composition of Israel through other means.

We can try to find the religious composition of Israel by looking at the religious affiliations of the people in Israel. Let's search for the property that represents the religious affiliation of people in a country.

[Tool]
Top 10 property alternatives:
1. religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): religion of a person, organization or religious building, or associated with this subject
2. official religion, also known as established religion, state religion (wd:P3075 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): official religion in this administrative entity
3. located in the religious territorial entity, also known as Deanery, Vicariate, religious territorial entity, Parish, located in the ecclesiastical territorial entity (wd:P5607 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): the item is located on the territory of the following religious entity. Use P708 (diocese) for dioceses, location, part of
4. religious name, also known as baptismal name, monastic name, name in religion (wd:P1635 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): name taken or used as a member of a religious community
5. affiliation, also known as association, sister society, affiliated with, affiliated to, associated with (wd:P1416 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): organization that a person or organization is affiliated with (not necessarily member of or employed by)
6. unmarried partner, also known as romantic partner, partner of, partners, posslq, relationship (wd:P451 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples, significant person
7. denomination (wd:P12949 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): value of a currency or type of currency
8. tribe, also known as community, member in tribe, member of tribe, tribal affiliation (wd:P12011 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): recognised membership in a society, mainly denoted by shared cultural heritage; for ethnicity use P172
9. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
10. allegiance, also known as ally of, fidelity, loyal to, loyalty, supporter of (wd:P945 as pqv/pqn/prn/wdtn/wdt/pq/prv/p/psn/psv/ps/pr): country (or other power) that the person or group serves

[Assistant]
The property `religion or worldview` (P140) seems to be the most relevant for finding the religious affiliation of people in Israel. Let's try to find the religious composition of Israel using this property.

We will look for the religious affiliations of people in Israel and count the number of people for each religion.

[Tool]
Got 1 row and 2 columns:
| religion           | count          |
| ------------------ | -------------- |
| Judaism (wd:Q9268) | 1975 (xsd:int) |

[Assistant]
The query indicates that Judaism is the predominant religion in Israel, with the highest count of people affiliated with it.

Therefore, the predominant religion in Israel is Judaism.

Here is the final SPARQL query and answer:

```sparql
SELECT ?religion (COUNT(?person) AS ?count)
WHERE {
  ?person wdt:P140 ?religion .
  ?person wdt:P27 wd:Q801 .
}
GROUP BY ?religion
ORDER BY DESC(?count)
LIMIT 1
```

Answer: The predominant religion in Israel is Judaism.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is well-constructed and correctly identifies the predominant religion in Israel based on the citizenship and religious affiliation of people. The answer provided is accurate and complete.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?location WHERE {
  wd:Q55464116 wdt:P159 ?location .
}

The National FFA Foundation is located in Indianapolis.

[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 the national ffa foundation located today?

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

[Tool]
Example 1:
Question:
what does pixar produce?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P272 wd:Q127552 .
}

Using entities:
Pixar, also known as Graphics Group, Pixar Studios (wd:Q127552): American computer animation studio

Using properties:
production company, also known as broadcasting company, theatrical troupe, theatre company, theater company, studio (wd:P272 as wdt): company that produced this film, audio or performing arts work

Example 2:
Question:
what are the major religions in poland?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q36 wdt:P140 ?x .
}

Using entities:
Poland, also known as Republic of Poland (wd:Q36): country in Central Europe

Using properties:
religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as wdt): religion of a person, organization or religious building, or associated with this subject

Example 3:
Question:
what are the major cities in france?

SPARQL:
SELECT DISTINCT ?x WHERE {
  ?x wdt:P31 wd:Q1637706 ; wdt:P17 wd:Q142 .
}

Using entities:
France, also known as FR, FRA, French Republic (wd:Q142): country in Western Europe
million city, also known as city 1000000+ (wd:Q1637706): city with a population of more than 1,000,000

Using properties:
country, also known as sovereign state, state, land, host country (wd:P17 as wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

[Assistant] Based on the examples, we need to identify the entity for the National FFA Foundation and the property for location. Let's start by searching for the entity.

[Tool]
Top 10 entity alternatives:
1. National FFA Foundation (wd:Q55464116): https://www.ffa.org/support/foundation
2. 2017 National FFA Foundation Convention (wd:Q123701667)
3. 2017 National FFA Foundation Convention Opening Session (wd:Q123701666)
4. national foundation, also known as foundation of a country, foundation of a nation (wd:Q2324975): event or process, usually mythical or legendary, through which a nation is founded
5. National Science Foundation, also known as N.S.F., NSF, United States National Science Foundation, U.S. National Science Foundation, US National Science Foundation (wd:Q304878): United States government agency
6. National Foundation Day, also known as Kenkoku Kinen no Hi, National Foundation Day of Japan (wd:Q1059995): Japanese holiday to celebrate the foundation of Japan.
7. Gaecheonjeol, also known as National Foundation Day (wd:Q485634): public holiday in South Korea
8. National Bonsai Foundation (wd:Q3539656): nonprofit organization that was created to sustain the National Bonsai and Penjing Museum
9. Cuban American National Foundation, also known as CANF, Cuban-American National Foundation, FNCA (wd:Q391051)
10. National Research Foundation, also known as National Research Foundation, South Africa, nrf.ac.za, NRF, National Research Foundation of South Africa (wd:Q6978050): autonomous statutory body of South Africa

[Assistant] The first result seems to be the correct entity for the National FFA Foundation. Now let's confirm it and then find the property for location.

[Tool]
Got 48 rows and 3 columns, showing the first 10 rows below:
| subject                                | property                         | object                                |
| -------------------------------------- | -------------------------------- | ------------------------------------- |
| National FFA Foundation (wd:Q55464116) | instance of (wdt:P31)            | nonprofit organization (wd:Q163740)   |
| National FFA Foundation (wd:Q55464116) | country (wdt:P17)                | United States (wd:Q30)                |
| National FFA Foundation (wd:Q55464116) | official website (wdt:P856)      | <https://www.ffa.org>                 |
| National FFA Foundation (wd:Q55464116) | headquarters location (wdt:P159) | Indianapolis (wd:Q6346)               |
| National FFA Foundation (wd:Q55464116) | legal form (wdt:P1454)           | 501(c)(3) organization (wd:Q18325436) |
| National FFA Foundation (wd:Q55464116) | total revenue (wdt:P2139)        | 17064836 (xsd:decimal)                |
| National FFA Foundation (wd:Q55464116) | total assets (wdt:P2403)         | 41160721 (xsd:decimal)                |
| National FFA Foundation (wd:Q55464116) | donations (wdt:P8093)            | 14065954 (xsd:decimal)                |
| National FFA Foundation (wd:Q55464116) | X (Twitter) username (wdt:P2002) | nationalffa                           |
| National FFA Foundation (wd:Q55464116) | Facebook username (wdt:P2013)    | nationalffa                           |
| ...                                    | ...                              | ...                                   |

[Assistant]
From the list, we can see that the `headquarters location` property (wdt:P159) points to Indianapolis (wd:Q6346). This is likely the current location of the National FFA Foundation.

Let's construct a simple SPARQL query to confirm this:

```sparql
SELECT ?location WHERE {
  wd:Q55464116 wdt:P159 ?location .
}
```

I will now execute this query to verify the result.

[Tool]
Got 1 row and 1 column:
| location                |
| ----------------------- |
| Indianapolis (wd:Q6346) |

[Assistant]
The query confirms that the National FFA Foundation is located in Indianapolis (wd:Q6346).

Here is the final SPARQL query and answer:

```sparql
SELECT ?location WHERE {
  wd:Q55464116 wdt:P159 ?location .
}
```

Answer: The National FFA Foundation is located in Indianapolis.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query correctly identifies the location of the National FFA Foundation using the appropriate entity and property, and the answer provided matches the result from the query.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX p: <http://www.wikidata.org/prop/>
SELECT DISTINCT ?actor WHERE {
  VALUES ?film {
    wd:Q17738 wd:Q181795 wd:Q181803 wd:Q6074
  }
  ?film p:P161 ?statement .
  ?statement ps:P161 ?actor ; pq:P453 wd:Q51746 .
}

Mark Hamill (wd:Q210447)

[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] who would play luke skywalker?

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

[Tool]
Example 1:
Question:
who was neptune discovered by?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q332 wdt:P61 ?x .
}

Using entities:
Neptune, also known as ♆, Planet Neptune, Sol 8, Sol VIII (wd:Q332): eighth and farthest planet from the Sun in the Solar System

Using properties:
discoverer or inventor, also known as inventor or discoverer, inventor, invented by, invented, introduced by (wd:P61 as wdt): subject who discovered, first described, invented, or developed this discovery or invention or scientific hypothesis or theory

Example 2:
Question:
who plays mary jane in spiderman 3?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q182212 p:P161 ?p .
  ?p ps:P161 ?x ; pq:P453 wd:Q63729056 .
}

Using entities:
Spider-Man 3 (wd:Q182212): 2007 American film directed by Sam Raimi
Mary Jane Watson (wd:Q63729056): 2002-2007 Spider-Man film series character, high school student, actor

Using properties:
cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as ps/p): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
character role, also known as role, plays, performer of, as, acting role (wd:P453 as pq): specific role played or filled by subject -- use only as qualifier of "cast member" (P161), "voice actor" (P725)

Example 3:
Question:
what is the atlanta braves mascot?

SPARQL:
SELECT DISTINCT ?x WHERE {
  wd:Q461595 wdt:P822 ?x .
}

Using entities:
Atlanta Braves, also known as Beaneaters, Rustlers, Milwaukee Braves, Doves, Braves (wd:Q461595): Major League Baseball team in Cumberland, Georgia

Using properties:
mascot (wd:P822 as wdt): mascot of an organization, e.g. a sports team or university

[Assistant] Based on the examples, we need to identify the entity for Luke Skywalker and the property for the actor who plays him. Let's start by searching for Luke Skywalker.

[Tool]
Top 10 entity alternatives:
1. Luke Skywalker, also known as Luke Starkiller (wd:Q51746): fictional character from Star Wars, starship pilot, mechanic, rebel, Jedi
2. Luke Skywalker, also known as 1978 Luke Skywalker (wd:Q125304798): 1978 Star Wars miniature action figure
3. Luke Skywalker (Hoth Battle Gear), also known as 1980 Luke Skywalker (wd:Q131787546): 1980 Star Wars miniature action figure
4. Luke Skywalker (Bespin Fatigues), also known as 1980 Luke Skywalker (wd:Q131785930): 1980 Star Wars miniature action figure
5. Luke Skywalker: X-Wing Pilot, also known as 1978 Luke Skywalker: X-Wing Pilot (wd:Q131785637): 1978 Star Wars miniature action figure
6. Luke Skywalker's lightsaber, also known as Luke Skywalker's laser sword, Luke's laser sword, Luke's lightsaber (wd:Q109322277): fictional lightsaber from the Star Wars universe
7. Luke Skywalker's X-wing starfighter (wd:Q131848835): fictional spacecraft from the Star Wars universe
8. Luke Skywalker and the Shadows of Mindor (wd:Q6702352): 2008 novel by Matthew Stover
9. Gospel of Luke, also known as Luke, Gospel of Saint Luke, Gospel According to Luke (wd:Q39939): book of the New Testament
10. Luke the Evangelist, also known as Saint Luke, Lucanus, Luke, Lukas (wd:Q128538): one of the four evangelists, iconographer, evangelist, physician, painter, writer

[Assistant]
The correct entity for Luke Skywalker is `wd:Q51746`. Now, let's find the property that indicates the actor who plays a character in a film or TV show. We can use the property `P161` (cast member) with the qualifier `P453` (character role).

However, since Luke Skywalker is a character, we might need to look at the films where he appears and then find the cast members for those films. Let's first find the films where Luke Skywalker appears.

[Tool]
Top 10 property alternatives:
1. first appearance, also known as debut, present initially in, introduced in work, initial appearance, first film (wd:P4584 as p/wdt): work in which a fictional/mythical character or entity first appeared, present in work
2. 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)
3. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
4. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as p/wdt): language(s) that a person or a people speaks, writes or signs, including the native language(s)
5. religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as p/wdt): religion of a person, organization or religious building, or associated with this subject
6. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
7. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
8. present in work, also known as is shown in, in work, in narrative, character in, from work (wd:P1441 as p/wdt): this (fictional or fictionalized) entity, place, or person appea...r works, P1343 for entities described in non-fictional accounts)
9. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as p/wdt): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
10. superhuman feature or ability, also known as has superpower, magic, magic ability, magical ability, supernatural abilities (wd:P2563 as p/wdt): superhuman, supernatural, or paranormal abilities that the fictional subject exhibits, uses

No other items found

[Assistant]
The property `P1441` (present in work) seems to be the most relevant for finding the films where Luke Skywalker appears. Let's use this property to find the films and then look for the actors who played Luke Skywalker in those films.

First, let's find the films where Luke Skywalker appears.

```sparql
SELECT DISTINCT ?film WHERE {
  wd:Q51746 p:P1441 ?statement .
  ?statement ps:P1441 ?film .
}
```

Let's execute this query.

[Tool]
Got 15 rows and 1 column, showing the first 5 and last 5 rows below:
| film                                                        |
| ----------------------------------------------------------- |
| Chapter 16: The Rescue (wd:Q101421646)                      |
| Shadow of the Sith (wd:Q117007407)                          |
| Star Wars: Episode IV – A New Hope (wd:Q17738)              |
| Star Wars: Episode V – The Empire Strikes Back (wd:Q181795) |
| Star Wars: Episode VI – Return of the Jedi (wd:Q181803)     |
| ...                                                         |
| Star Wars (wd:Q462)                                         |
| Star Wars Battlefront (wd:Q54862)                           |
| Star Wars: Masters of Teräs Käsi (wd:Q55257)                |
| Star Wars Galaxies (wd:Q55272)                              |
| Star Wars: Episode VII – The Force Awakens (wd:Q6074)       |

[Assistant]
We have a list of films where Luke Skywalker appears. Now, let's focus on the main Star Wars films and find the actors who played Luke Skywalker in those films. We'll start with the original trilogy and the sequel trilogy.

Here are the relevant films:
- Star Wars: Episode IV – A New Hope (wd:Q17738)
- Star Wars: Episode V – The Empire Strikes Back (wd:Q181795)
- Star Wars: Episode VI – Return of the Jedi (wd:Q181803)
- Star Wars: Episode VII – The Force Awakens (wd:Q6074)

Let's find the actors who played Luke Skywalker in these films using the `P161` (cast member) property with the `P453` (character role) qualifier.

```sparql
SELECT DISTINCT ?actor WHERE {
  VALUES ?film { wd:Q17738 wd:Q181795 wd:Q181803 wd:Q6074 }
  ?film p:P161 ?statement .
  ?statement ps:P161 ?actor ;
             pq:P453 wd:Q51746 .
}
```

Let's execute this query.

[Tool]
Got 1 row and 1 column:
| actor                    |
| ------------------------ |
| Mark Hamill (wd:Q210447) |

[Assistant]
The actor who played Luke Skywalker in the main Star Wars films is Mark Hamill.

Here is the final SPARQL query and answer:

```sparql
SELECT DISTINCT ?actor WHERE {
  VALUES ?film { wd:Q17738 wd:Q181795 wd:Q181803 wd:Q6074 }
  ?film p:P161 ?statement .
  ?statement ps:P161 ?actor ;
             pq:P453 wd:Q51746 .
}
```

Answer: Mark Hamill (wd:Q210447)

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query correctly identifies Mark Hamill as the actor who played Luke Skywalker in the specified Star Wars films.