PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?actor WHERE {
  wd:Q23831 wdt:P161 ?actor .
  ?actor wdt:P181 ?character .
  ?character rdfs:label 'Dwight Schrute' @en
}

The information about the actor who plays Dwight Schrute in The Office (U.S. version) is not directly available in the knowledge graph using the properties and relationships I have tried. Multiple attempts to find the actor through different queries did not yield any results.

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

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

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

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

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

[User] who plays dwight in the office?

[Assistant]
To answer the question "Who plays Dwight in The Office?", I need to identify the character "Dwight" and the TV show "The Office" in the knowledge graph. Then, I will look for the actor who plays this role.

### Step 1: Identify the TV Show "The Office"
I will first search for the TV show "The Office" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. The Office, also known as Office (wd:Q4006581): 1966 Short film directed by Krzysztof Kieślowski
2. The Office Party (wd:Q63871978): 2000 short film directed by Chiara Edmands
3. The Junior Officer (wd:Q3521448): 1912 film by Frank Montgomery
4. Curing the Office Boy (wd:Q20802037): 1912 silent short film
5. The Non-Commissioned Officer (wd:Q20803133): 1912 film by Charles Brabin
6. The Office Boy's Birthday (wd:Q20803136): 1913 film by Charles M. Seay
7. The New Officer (wd:Q20803128): 1911 short film
8. The Private Officer (wd:Q15121365): 1914 silent short film
9. The Oath of His Office (wd:Q13471797): 1912 film by Broncho Billy Anderson
10. Broncho Billy and the Sheriff's Office (wd:Q15041775): 1914 film by Broncho Billy Anderson

No other items found

[Assistant]
It seems that the search did not return the correct TV show "The Office." Let me try a more specific search to find the TV series "The Office" (U.S. version).

### Step 2: Search for the U.S. Version of "The Office"
I will search for the TV series "The Office" specifically mentioning it is the U.S. version.

[Tool]
Top 10 entity alternatives:
1. The Office, also known as Flor cabrera (wd:Q23831): American sitcom broadcast on NBC
2. The Office (wd:Q23829): British sitcom television series
3. The Office (wd:Q65043588): Indian TV series
4. The Office (wd:Q130441989): Australian TV series
5. The Office (wd:Q20709864): 1995 American television series
6. The Circle, also known as The Circle US (wd:Q65043898): American reality television show
7. The Office PL (wd:Q118215364): Polish comedy television series
8. The Office: The Accountants, also known as The Accountants (wd:Q943154): American comedy web series
9. The Singing Office (wd:Q7764423): television series
10. The Wheel, also known as Michael McIntyre's The Wheel, The Wheel NBC, The Wheel US (wd:Q116148548): American television game show

No other items found

[Assistant]
The search has returned the correct TV series "The Office" (U.S. version) as the first result, which is `wd:Q23831`.

### Step 3: Identify the Character "Dwight"
Next, I need to find the character "Dwight" in the context of "The Office" (U.S. version).

### Step 4: Find the Actor Who Plays Dwight
I will now search for the actor who plays the character "Dwight" in "The Office" (U.S. version).

Let's start by finding the character "Dwight" in the TV show.

[Tool] Invalid SPARQL query: Variable ?search must occurr in the WHERE clause at least once

[Assistant]
It looks like I made a mistake in the SPARQL query. I need to include the `?search` variable to properly search for the character "Dwight."

Let me correct the query and try again.

### Corrected Query to Find the Character "Dwight"
I will search for the character "Dwight" in the context of "The Office" (U.S. version) and then find the actor who plays this role.

[Tool]
No entity items found

No other items found

No literal items found

[Assistant]
It seems that the search did not return the character "Dwight" directly. Let me try a different approach by searching for the character "Dwight Schrute" in the context of "The Office" (U.S. version).

### Step 5: Search for the Character "Dwight Schrute"
I will search for the character "Dwight Schrute" in the context of "The Office" (U.S. version) and then find the actor who plays this role.

[Tool]
No entity items found

No other items found

No literal items found

[Assistant]
It seems that the character "Dwight Schrute" is not directly linked to the TV show "The Office" (U.S. version) in the way I expected. Let me try a different approach by searching for the actor who plays "Dwight Schrute" directly.

### Step 6: Search for the Actor Who Plays "Dwight Schrute"
I will search for the actor who plays the character "Dwight Schrute" in "The Office" (U.S. version).

[Tool] Invalid SPARQL query: Variable ?search must occurr in the WHERE clause at least once

[Assistant]
I made another mistake in the SPARQL query. I need to include the `?search` variable to properly search for the actor who plays "Dwight Schrute."

Let me correct the query and try again.

### Corrected Query to Find the Actor Who Plays "Dwight Schrute"
I will search for the actor who plays the character "Dwight Schrute" in "The Office" (U.S. version).

[Tool]
Falling back to an unconstrained search on the full precomputed search indices:
Got more than the maximum supported number of subject candidates (131,072)

Top 10 entity alternatives:
1. Dwight Schrute, also known as Dwight Kurt Schrute III, Dwight K. Schrute (wd:Q4169030): fictional character in NBC's The Office, regional manager, salesperson, hotel owner
2. Dwight K. Schrute, (Acting) Manager (wd:Q5318198): episode of The Office (S7 E24)
3. Dwight, also known as Dwight, Kansas, Dwight, KS (wd:Q2901450): city in Morris County, Kansas, United States
4. Dwight, also known as Dwight, IL, Dwight, Illinois (wd:Q2338703): village in Illinois, United States
5. Dwight, also known as Dwight, NE, Dwight, Nebraska (wd:Q2155585): human settlement in Butler County, Nebraska, United States of America
6. Dwight, also known as Dwight, ND, Dwight, North Dakota (wd:Q2049587): city in Richland County, North Dakota, United States
7. Jonathan Dwight, also known as Jonathan Dwight Jr., Jonathan Dwight V, J. Dwight, Dwight (wd:Q604878): ornithologist (1858–1929), ornithologist, zoologist
8. Dwight (wd:Q23091503): fictional character in The Walking Dead, zombie hunter
9. Dwight, also known as Dwight (first name), Dwight (given name) (wd:Q13582327): male given name
10. Dwight, also known as Dwight station (wd:Q55888281): passenger train station in Dwight, Illinois

No other items found

[Assistant]
The search has returned the character "Dwight Schrute" as the first result, which is `wd:Q4169030`. Now, I need to find the actor who plays this character.

### Step 7: Find the Actor Who Plays Dwight Schrute
I will now execute a SPARQL query to find the actor who plays the character "Dwight Schrute" in "The Office" (U.S. version).

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the direct relationship between the character "Dwight Schrute" and the actor who plays him is not available in the way I expected. Let me try a different approach by searching for the actor who plays "Dwight Schrute" in the context of "The Office" (U.S. version) using a more general query.

### Step 8: Search for the Actor Who Plays "Dwight Schrute" in "The Office" (U.S. version)
I will search for the actor who plays "Dwight Schrute" in "The Office" (U.S. version) by looking at the cast of the show.

Let's try this approach.

[Tool]
Got 25 rows and 1 column, showing the first 5 and last 5 rows below:
| ?actor                           |
| -------------------------------- |
| Leslie David Baker (wd:Q1050211) |
| Oscar Nunez (wd:Q1139248)        |
| Steve Carell (wd:Q216221)        |
| Creed Bratton (wd:Q2238008)      |
| Amy Ryan (wd:Q231203)            |
| ...                              |
| Jake Lacy (wd:Q6124807)          |
| David Denman (wd:Q64560)         |
| Ellie Kemper (wd:Q72077)         |
| Zach Woods (wd:Q8063863)         |
| Craig Robinson (wd:Q926912)      |

[Assistant]
The query returned a list of actors who have appeared in "The Office" (U.S. version). However, it did not specify which actor plays "Dwight Schrute." Let me refine the query to specifically find the actor who plays "Dwight Schrute."

### Step 9: Refine the Query to Find the Actor Who Plays "Dwight Schrute"
I will now refine the query to find the actor who plays the character "Dwight Schrute" in "The Office" (U.S. version).

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the relationship between the actor and the character "Dwight Schrute" is not directly specified in the way I expected. Let me try a different approach by searching for the actor who plays "Dwight Schrute" using the character's IRI directly.

### Step 10: Search for the Actor Who Plays "Dwight Schrute" Using the Character's IRI
I will use the IRI of the character "Dwight Schrute" (`wd:Q4169030`) to find the actor who plays this role.

Let's try this approach.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the direct relationship between the character "Dwight Schrute" and the actor who plays him is not available in the knowledge graph. Let me try a different approach by searching for the actor who plays "Dwight Schrute" in the context of the TV show "The Office" (U.S. version) using a more general query.

### Step 11: Search for the Actor Who Plays "Dwight Schrute" in "The Office" (U.S. version) Using a Different Property
I will search for the actor who plays "Dwight Schrute" in "The Office" (U.S. version) using a different property that might link the actor to the character.

Let's try this approach.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the relationship between the actor and the character "Dwight Schrute" is not directly specified in the knowledge graph using the properties I have tried. Let me try a different approach by searching for the actor who plays "Dwight Schrute" using a more general query that includes the TV show and the character.

### Step 12: Search for the Actor Who Plays "Dwight Schrute" Using a More General Query
I will search for the actor who plays "Dwight Schrute" in "The Office" (U.S. version) using a more general query that includes the TV show and the character.

Let's try this approach.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the relationship between the actor and the character "Dwight Schrute" is not directly specified in the knowledge graph using the properties and relationships I have tried.

Given the constraints and the lack of direct relationships, I will have to conclude that the information is not available in the knowledge graph in the way I am querying it. However, I will provide my best attempt at a SPARQL query and explain why it did not yield the expected results.

### Best Attempt at a SPARQL Query
I will use a more general query to find the actor who plays "Dwight Schrute" in "The Office" (U.S. version).

```sparql
SELECT ?actor WHERE {
  wd:Q23831 wdt:P161 ?actor .
  ?actor wdt:P181 ?character .
  ?character rdfs:label 'Dwight Schrute'@en
}
```

### Explanation
- **wd:Q23831**: This is the IRI for "The Office" (U.S. version).
- **wdt:P161**: This property is used to link the TV show to the actors who appear in it.
- **?actor**: This variable represents the actor who plays a character in the show.
- **wdt:P181**: This property is used to link the actor to the character they play.
- **?character**: This variable represents the character played by the actor.
- **rdfs:label 'Dwight Schrute'@en**: This filters the characters to only those labeled "Dwight Schrute" in English.

Unfortunately, this query did not return any results, indicating that the relationship between the actor and the character "Dwight Schrute" is not directly specified in the knowledge graph.

### Final Answer
Since the information is not available in the knowledge graph in the way I have queried it, I will provide the best attempt and explain why it did not work.

```json
{
  "kg": "wikidata",
  "sparql": "SELECT ?actor WHERE { wd:Q23831 wdt:P161 ?actor . ?actor wdt:P181 ?character . ?character rdfs:label 'Dwight Schrute'@en }",
  "answer": "The information about the actor who plays Dwight Schrute in The Office (U.S. version) is not directly available in the knowledge graph using the properties and relationships I have tried."
}
```

I will now call the `cancel` function to indicate that I could not find a satisfactory SPARQL query.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?holiday ?holidayLabel WHERE {
  VALUES ?holiday {
    wd:Q464458 wd:Q514400 wd:Q193027
  }
  OPTIONAL {
    ?holiday rdfs:label ?holidayLabel .
    FILTER ( LANG( ?holidayLabel ) = "en" )
  }
}

Got 3 rows and 2 columns:
| ?holiday                 | ?holidayLabel |
| ------------------------ | ------------- |
| Mawlid (wd:Q193027)      | Mawlid        |
| Eid al-Fitr (wd:Q464458) | Eid al-Fitr   |
| Eid al-Adha (wd:Q514400) | Eid al-Adha   |

The important holidays of Islam are: Mawlid (wd:Q193027), Eid al-Fitr (wd:Q464458), and Eid al-Adha (wd:Q514400).

[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 are the important holidays of islam?

[Assistant]
To answer the question about the important holidays of Islam, I need to identify the relevant entities and properties in the knowledge graph. I will start by searching for the entity representing Islam and then look for properties related to holidays or festivals.

First, I will search for the entity representing Islam.

[Tool]
Falling back to an unconstrained search on the full precomputed search indices:
SPARQL query contains no IRIs to constrain with

Top 10 entity alternatives:
1. Islam, also known as religion of the Muslims, Muslim religion, Mohammedanism, Islamic religion, al-’islām (wd:Q432): Abrahamic religion founded by Muhammad
2. Islam, also known as al-’islām, Islamic religion, religion of the Muslims, Mohammedanism, Muslim religion (wd:Q432): Abrahamic religion founded by Muhammad
3. Islam (wd:Q3802541): male given name
4. Islam (wd:Q15714033): Belgian political party
5. İslam İslamzadə (wd:Q39083558): politician
6. Islam Islam (wd:Q70618801): Tanzanian field hockey player, field hockey player
7. İslam (wd:Q109385182): suburb in Bahçesaray, Van, Turkey
8. İslam (wd:Q106304327): family name
9. Islam (wd:Q36909358): family name
10. Islam (wd:Q33541951): 1965 film by Svend Aage Lorentz

No other items found

[Assistant]
The search returned multiple results, but the first two entries are the most relevant, both pointing to the same entity: Islam (wd:Q432). I will use this entity to find properties related to holidays or festivals.

Next, I will list the properties associated with the entity Islam (wd:Q432) to see if there are any properties related to holidays or festivals.

[Tool]
Got 1,741 rows and 3 columns, showing the first 10 rows below:
| subject         | property                              | object                                                          |
| --------------- | ------------------------------------- | --------------------------------------------------------------- |
| Islam (wd:Q432) | instance of (wdt:P31)                 | Major religious groups (wd:Q6957341)                            |
| Islam (wd:Q432) | main subject (wdt:P921)               | obedience (wd:Q1456974)                                         |
| Islam (wd:Q432) | language of work or name (wdt:P407)   | Arabic (wd:Q13955)                                              |
| Islam (wd:Q432) | full work available at URL (wdt:P953) | <https://corpus.quran.com/qurandictionary.jsp?q=slm>            |
| Islam (wd:Q432) | Commons category (wdt:P373)           | Islam                                                           |
| Islam (wd:Q432) | image (wdt:P18)                       | <http://commons.wikimedia.org/wiki/Special:FilePath/Mosque.jpg> |
| Islam (wd:Q432) | subclass of (wdt:P279)                | Abrahamic religion (wd:Q47280)                                  |
| Islam (wd:Q432) | location (wdt:P276)                   | Muslim world (wd:Q779924)                                       |
| Islam (wd:Q432) | inception (wdt:P571)                  | 0631-01-01T00:00:00Z                                            |
| Islam (wd:Q432) | has part(s) (wdt:P527)                | Hajj (wd:Q234915)                                               |
| ...             | ...                                   | ...                                                             |

[Assistant]
From the list of properties associated with Islam (wd:Q432), I see that "has part(s)" (wdt:P527) includes Hajj (wd:Q234915), which is a significant pilgrimage in Islam. However, I need to find more specific properties related to holidays or festivals.

I will search for properties related to holidays or festivals specifically to find the relevant entities.

[Tool]
Top 10 property alternatives:
1. significant event, also known as significant occurrence, significant incident, significant achievment, sign. event, outcome (wd:P793 as wdt/p): significant or notable events associated with the subject
2. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as wdt/p): what the place, monument, memorial, or holiday, commemorates, main subject
3. depicts, also known as portrays, presents, preserves, quotes, represents (wd:P180 as wdt/p): entity visually depicted in an image, literarily described in a ...o an audiovisual or other medium; see also P921,  'main subject', has part(s)
4. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as wdt/p): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
5. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
6. based on, also known as modelled after, inspired by, iteration of, modeled after, fork of (wd:P144 as wdt/p): the work(s) or inputs used as the basis for subject item; for fictional analog use P1074, references work, tradition or theory, inspired by
7. main subject, also known as primary topic, primary subject, primary keyword, plot keyword, of (wd:P921 as wdt/p): primary topic of a work (see also P180: depicts), depicts
8. location of creation, also known as manufactured in, manufacturing location, mint, minted at, photographed at (wd:P1071 as wdt/p): place where the item was conceived or made; where applicable, location of final assembly, significant place
9. culture, also known as archaeological culture, civilisation, civilization (wd:P2596 as wdt/p): human culture or people (or several cultures) associated with this item, part of
10. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, start time

No other items found

[Assistant]
The search for properties related to "holiday" or "festival" did not yield any direct matches. However, the property "significant event" (wdt:P793) seems promising, as it could include important holidays and festivals.

I will now use this property to find the significant events associated with Islam (wd:Q432).

[Tool]
Got 7 rows and 1 column:
| ?event                                |
| ------------------------------------- |
| Hijra (wd:Q131482)                    |
| Conquest of Mecca (wd:Q2092033)       |
| The Farewell Pilgrimage (wd:Q3352027) |
| Isra and Mi'raj (wd:Q381240)          |
| Battle of Badr (wd:Q486124)           |
| Battle of Uhud (wd:Q488278)           |
| Battle of the Trench (wd:Q826083)     |

[Assistant]
The query returned several significant events associated with Islam, but these events are mostly historical and not necessarily holidays or festivals. To find the actual holidays and festivals, I will need to refine my search.

I will try to search for properties that are more directly related to holidays or festivals. One such property might be "celebrated on" or "observed on" (wdt:P3452).

Let's check if there are any holidays or festivals associated with Islam using this property.

[Tool] Got no rows and 1 columns

[Assistant]
The query did not return any results, which suggests that the property "celebrated on" (wdt:P3452) might not be the right choice for finding Islamic holidays.

Another approach is to search for entities that are explicitly labeled as holidays or festivals and are associated with Islam. I will use the label "holiday" or "festival" and filter by the religion being Islam.

Let's try this approach.

[Tool]
No entity items found

No other items found

[Assistant]
The search did not return any results, which suggests that the entities for Islamic holidays might not be directly linked to Islam using the "religion" property (wdt:P195).

I will try a different approach by searching for entities that are labeled as holidays or festivals and then checking if they are associated with Islam through other properties.

Let's search for entities labeled as "holiday" or "festival" and then filter the results to find those associated with Islam.

[Tool]
Falling back to an unconstrained search on the full precomputed search indices:
Got more than the maximum supported number of subject candidates (131,072)

Top 10 entity alternatives:
1. Holiday Festival (wd:Q79266342): 1969 Exhibition at SFMOMA (then the San Francisco Museum of Art)
2. holiday, festival (wd:L1319474-S1)
3. Holiday of Holidays festival (wd:Q6765317)
4. Holiday Film Festival (wd:Q3070489)
5. Holiday Film Festival (wd:Q5880387): 1976-1985 Thanksgiving Day science fiction film series
6. Holiday Festival 1970 (wd:Q79271083): 1970 Exhibition at SFMOMA (then the San Francisco Museum of Art)
7. Holiday Festival 1971 (wd:Q79271191): 1971 Exhibition at SFMOMA (then the San Francisco Museum of Art)
8. ECAC Holiday Hockey Festival (wd:Q29096593)
9. Holiday Inn Dubai Festival City (wd:Q111150458): hotel in Dubai, United Arab Emirates
10. Midwest Buddhist Temple Ginza Holiday Festival (wd:Q6843342): annual Japanese cultural festival in Chicago

No other items found

[Assistant]
The search for entities labeled as "holiday" or "festival" did not return any relevant results for Islamic holidays. This suggests that the labels might not be the best approach.

Instead, I will try to search for specific Islamic holidays by name and then verify their association with Islam. Common Islamic holidays include Eid al-Fitr, Eid al-Adha, and Mawlid al-Nabi.

Let's search for these specific holidays and verify their association with Islam.

[Tool]
No entity items found

No other items found

[Assistant]
The search for specific Islamic holidays using the "religion" property (wdt:P195) did not return any results. This suggests that these holidays might not be directly linked to Islam using this property.

I will try a different approach by searching for these specific holidays and then checking if they are associated with Islam through other properties or statements.

Let's search for the specific holidays and then verify their association with Islam.

[Tool]
Falling back to an unconstrained search on the full precomputed search indices:
Got more than the maximum supported number of subject candidates (131,072)

Top 10 entity alternatives:
1. Eid al-Adha, also known as Qurban Eid, Eid Lamb, Major Festival, Tabaski, ismail (wd:Q514400): Islamic holiday on the tenth day of Dhu al-Hijjah
2. Eid al-Adha, also known as ismail, Major Festival, id al-kabir, id al-adha, Qurban Eid (wd:Q514400): Islamic holiday on the tenth day of Dhu al-Hijjah
3. Eid al-Fitr, also known as Eid al Fitr, Eid Nights, id al-fitr (wd:Q464458): Islamic holiday at the end of Ramadan
4. Eid al-Adha (wd:Q133012501): online exhibition from National Library of Israel
5. Eid al-Adha Truce (wd:Q5348771)
6. Eid al-Adha in Nigeria (wd:Q111962775): Muslim Festival
7. Let's discover Eid al-Adha (wd:Q20724288): 2014 film by Farid Dms Debah
8. Eid al-Fitr 1431 AH (wd:Q13207716)
9. Presidential Message: Eid al-Adha (wd:Q19046337)
10. 2002 Commemoration of Eid al-Adha (wd:Q19019608)

No other items found

[Assistant]
The search returned the correct entities for Eid al-Fitr (wd:Q464458) and Eid al-Adha (wd:Q514400). These are indeed important Islamic holidays. I will now verify if Mawlid al-Nabi (the birthday of the Prophet Muhammad) is also included in the results.

Let's search for Mawlid al-Nabi specifically and verify its association with Islam.

[Tool]
Falling back to an unconstrained search on the full precomputed search indices:
Got more than the maximum supported number of subject candidates (131,072)

Top 10 entity alternatives:
1. Mawlid, also known as Prophet’s Day, Prophet's Day, Moulid (wd:Q193027): birthday of Muhammad
2. Al-Nabigha (wd:Q248308): pre-Islamic Arab poet, poet
3. Al-Nabigha (wd:Q248308): pre-Islamic Arab poet, poet
4. Nabi Salih, also known as al-Nabi Salih, Al-Nabi Salih, Nabi Saleh (wd:Q12062266): village in Ramallah and al-Bireh Governorate, Cisjordan
5. Al-Nabi Mosque, also known as Al-Nabi Mosque, Qazvin (wd:Q2856389): mosque in Qazvin, Iranian national heritage site
6. Al-Nabi Shayth (wd:Q626462): human settlement
7. Al-Nabi Yusha' (wd:Q2907154): village in Safad, Mandatory Palestine
8. Mawlid al-Barzanjī (wd:Q5265997): Verse written in praise of Muhammad
9. Mawlid doll (wd:Q123003614)
10. Mawlid Mosque (wd:Q116059504): mosque in Russia

No other items found

[Assistant]
The search returned the correct entity for Mawlid (wd:Q193027), which is the birthday of the Prophet Muhammad. This is another important Islamic holiday.

Now that I have identified the three major Islamic holidays—Eid al-Fitr (wd:Q464458), Eid al-Adha (wd:Q514400), and Mawlid (wd:Q193027)—I will construct a SPARQL query to list these holidays along with their labels.

Here is the final SPARQL query:

```sparql
SELECT ?holiday ?holidayLabel
WHERE {
  VALUES ?holiday { wd:Q464458 wd:Q514400 wd:Q193027 }
  OPTIONAL { ?holiday rdfs:label ?holidayLabel . FILTER(LANG(?holidayLabel) = "en") }
}
```

This query will return the IRIs of the holidays and their English labels.

Let's execute this query to get the results.

[Tool]
Got 3 rows and 2 columns:
| ?holiday                 | ?holidayLabel |
| ------------------------ | ------------- |
| Mawlid (wd:Q193027)      | Mawlid        |
| Eid al-Fitr (wd:Q464458) | Eid al-Fitr   |
| Eid al-Adha (wd:Q514400) | Eid al-Adha   |

[Assistant]
The SPARQL query successfully returned the IRIs and English labels of the important Islamic holidays: Mawlid, Eid al-Fitr, and Eid al-Adha.

Here is the final answer to the user's question:

The important holidays of Islam are:
- Mawlid (wd:Q193027)
- Eid al-Fitr (wd:Q464458)
- Eid al-Adha (wd:Q514400)

I will now provide the final SPARQL query and answer using the `answer` function.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?country WHERE {
  wd:Q1496 wdt:P945 ?country
}

Spanish Empire

[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 country did magellan represent?

[Assistant]
To answer the question about the country Magellan represented, we need to identify the entity for Magellan and then find the country he represented during his voyages. Let's start by searching for Magellan in the knowledge graph.

I will use the `search` function to find the entity for Magellan.

[Tool]
Falling back to an unconstrained search on the full precomputed search indices:
SPARQL query contains no IRIs to constrain with

Top 10 entity alternatives:
1. Ferdinand Magellan, also known as Fernando de Magallanes, Fernão de Magalhães, Hernando de Magallanes, Magallanes, Magellan (wd:Q1496): Portuguese explorer in the service of Spain, seafarer, explorer, sailor
2. Ferdinand Magellan (wd:Q1405590): US Presidential railroad car
3. Brendan Kelly, also known as Clarence Darrow, Widgie, Should Surely, Ferdinand Magellan (wd:Q4960952): American singer and guitarist, singer
4. Ferdinand Magellan. (wd:Q125531014): journal article from 'The Hispanic American Historical Review' published in 1933
5. esplanade Ferdinand Magellan (wd:Q117303049): esplanade of Noisy-le-Grand, in France
6. political positions of Ferdinand R. Marcos, also known as Ferdinand Magellan, Jr., political positions of Bongbong Marcos, Ferdinand Magellan Jr. (wd:Q56582845): views of the Philippine president on organised society
7. Monument to Ferdinand Magellan (wd:Q66124258): sculpture in Punta Arenas, Chili
8. Ferdinando Magellano (wd:Q52802100): technical institute in Rome, Rome, Lazio, Italy
9. Ferdinand Magellan historical marker (wd:Q106629890): NHCP historical marker for Ferdinand Magellan
10. Ferdinand Magellan’s Death historical marker (wd:Q46515773): NHCP historical marker for the site of the death of Ferdinand Magellan

No other items found

[Assistant]
The top result for "Ferdinand Magellan" is the correct entity: `wd:Q1496`. Now, we need to find out which country he represented. This likely involves finding the country he was serving under during his voyages.

Let's look for properties related to Magellan's service or employment. We can use the `list` function to explore the properties of `wd:Q1496`.

[Tool]
Got 1,033 rows and 3 columns, showing the first 10 rows below:
| subject                       | property                         | object                                                                                |
| ----------------------------- | -------------------------------- | -------------------------------------------------------------------------------------------------- |
| Ferdinand Magellan (wd:Q1496) | instance of (wdt:P31)            | human (wd:Q5)                                                                                |
| Ferdinand Magellan (wd:Q1496) | occupation (wdt:P106)            | sailor (wd:Q45199)                                                                                |
| Ferdinand Magellan (wd:Q1496) | sex or gender (wdt:P21)          | male (wd:Q6581097)                                                                                |
| Ferdinand Magellan (wd:Q1496) | given name (wdt:P735)            | Fernão (wd:Q18171074)                                                                              |
| Ferdinand Magellan (wd:Q1496) | date of birth (wdt:P569)         | 1480-01-01T00:00:00Z                                                                               |
| Ferdinand Magellan (wd:Q1496) | Commons category (wdt:P373)      | Ferdinand Magellan                                                                                |
| Ferdinand Magellan (wd:Q1496) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Retrato%20de%20Hernando%20de%20Magallanes.jpg> |
| Ferdinand Magellan (wd:Q1496) | country of citizenship (wdt:P27) | Kingdom of Portugal (wd:Q45670)                                                                    |
| Ferdinand Magellan (wd:Q1496) | family name (wdt:P734)           | de Magalhães (wd:Q109590735)                                                                       |
| Ferdinand Magellan (wd:Q1496) | described at URL (wdt:P973)      | <http://www.digiporta.net/index.php?id=143424712>                                                  |
| ...                           | ...                              | ...                                                                                |

[Assistant]
From the list of properties, we can see that Ferdinand Magellan's country of citizenship is listed as the Kingdom of Portugal (`wd:Q45670`). However, this does not necessarily mean that he represented Portugal during his voyages, as he might have been in the service of another country.

To find out which country he represented during his voyages, we need to look for properties related to his service or employment. Specifically, we should look for the country he was serving under during his famous voyage around the world.

Let's search for properties related to Magellan's service or employment.

[Tool]
Top 10 property alternatives:
1. occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt/p): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
2. member of, also known as band member of, membership, member of musical group, in musical group, be member of (wd:P463 as wdt/p): organization, club or musical group to which the subject belongs...ical position, such as a member of parliament (use P39 for that), part of
3. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as wdt/p): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
4. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt/p): the object is a country that recognizes the subject as its citizen, country
5. allegiance, also known as ally of, fidelity, loyal to, loyalty, supporter of (wd:P945 as wdt/p): country (or other power) that the person or group serves
6. signature, also known as signature image, image of signature, facsimiles, autograph (wd:P109 as wdt/p): image of a person's signature, image
7. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as wdt/p): language(s) that a person or a people speaks, writes or signs, including the native language(s)
8. name, also known as also known as, referred to as, label, known as, be known as (wd:P2561 as wdt/p): name the subject is known by; preferably use a more specific subproperty if available
9. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as wdt/p): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
10. conflict, also known as war, theatre (military), theater (military), participated in conflict, military conflict (wd:P607 as wdt/p): battles, wars or other military engagements in which the person or item participated, participant in

No other items found

[Assistant]
The property `allegiance` (wd:P945) seems to be the most relevant for determining the country Magellan represented during his voyages. Let's use this property to find out which country he served.

I will execute a SPARQL query to retrieve the country Magellan represented.

[Tool]
Got 1 row and 1 column:
| ?country                   |
| -------------------------- |
| Spanish Empire (wd:Q80702) |

[Assistant]
The SPARQL query returned that Ferdinand Magellan represented the Spanish Empire (`wd:Q80702`) during his voyages.

Therefore, the answer to the question "What country did Magellan represent?" is the Spanish Empire.

Here is the final SPARQL query and answer:

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?school WHERE {
  wd:Q4583 wdt:P69 ?school .
}

Anne Frank attended the 6th Montessori School.

[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 did anne frank go to school?

[Assistant]
To answer the question about where Anne Frank went to school, I need to identify the entity for Anne Frank and the property for "school" or "education". Let's start by searching for Anne Frank in the knowledge graph.

I will use the `search` function to find the entity for Anne Frank.

[Tool]
Falling back to an unconstrained search on the full precomputed search indices:
SPARQL query contains no IRIs to constrain with

Top 10 entity alternatives:
1. Anne Frank, also known as Anne M. Frank, Anna Frank, Anne Maries Frank, Annelies Marie Frank, Anna M Frank (wd:Q4583): German-born Dutch Jewish diarist and Holocaust victim (1929–1945), diarist, writer
2. Anne Frank, also known as Anne Maries Frank, Anne M. Frank, Annelies Marie Frank, Anna M Frank, Anna Frank (wd:Q4583): German-born Dutch Jewish diarist and Holocaust victim (1929–1945), diarist, writer
3. Statue of Anne Frank, also known as Anne Frank (wd:Q27918477): public artwork by Pieter d'Hont in Utrecht, the Netherlands
4. Bust of Anne Frank, also known as Anne Frank (wd:Q41688543): sculpture by Doreen Kern
5. Aenne Pahl, also known as Anne Frank (wd:Q60540011): painter
6. Anne Frank (wd:Q128498127): opera by Shulamit Ran
7. Anne Frank (wd:Q99711206): television executive
8. Anne Frank, also known as No Guilt (wd:Q123907483): 1990 single by Brainbombs
9. Anne Frank (wd:Q115618903): sculpture in Berlin, Germany
10. Anne Frank (wd:Q106898038): costume designer, theatre manager, textile worker, puppeteer, director

No other items found

[Assistant]
The search has returned the entity for Anne Frank, which is `wd:Q4583`. Now, I need to find the property that represents "school" or "education". I will use the `search` function again to find the relevant property.

Let's search for properties related to "school" or "education".

[Tool]
Top 10 property alternatives:
1. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as wdt/p): educational institution attended by subject, affiliation
2. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as wdt/p): specialization of a person or organization; see P106 for the occupation, interested in
3. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as wdt/p): language(s) that a person or a people speaks, writes or signs, including the native language(s)
4. religion or worldview, also known as believes, worldview, religious affiliation, religion or world view, religion (wd:P140 as wdt/p): religion of a person, organization or religious building, or associated with this subject
5. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt/p): the object is a country that recognizes the subject as its citizen, country
6. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
7. subject has role, also known as has role, role, subject had role, subject of qualified statement has role, subject of statement has role (wd:P2868 as wdt/p): role/generic identity of the item ("subject") in the context of ...acting roles, use P453 ("character role"). For persons, use P39.
8. occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt/p): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
9. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as wdt/p): location where persons or organisations were actively participating in employment, business or other work, significant place, location
10. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as wdt/p): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)

No other items found

[Assistant]
The search has returned the property `wd:P69` (educated at) as the most relevant property for "school" or "education". Now, I will construct a SPARQL query to find the schools that Anne Frank attended.

Let's execute the SPARQL query to find the schools Anne Frank attended.

```sparql
SELECT ?school WHERE {
  wd:Q4583 wdt:P69 ?school .
}
```

I will now execute this query.

[Tool]
Got 1 row and 1 column:
| ?school                                         |
| ----------------------------------------------- |
| 6th Montessori School Anne Frank (wd:Q19830060) |

[Assistant]
The SPARQL query has returned the school that Anne Frank attended, which is the 6th Montessori School Anne Frank (wd:Q19830060).

Now, I will provide the final answer to the user question.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?isthmus ?coordinates WHERE {
  wd:Q182139 wdt:P625 ?coordinates .
  BIND( wd:Q182139 AS ?isthmus )
}

The Isthmus of Panama is located at the coordinates POINT(-79.000000 9.000000).

[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 isthmus of panama located on the map?

[Assistant]
To answer the question about the location of the Isthmus of Panama on the map, we need to find the geographical coordinates of the Isthmus of Panama. We can start by searching for the Isthmus of Panama in the knowledge graph and then look for its coordinates.

Let's first search for the Isthmus of Panama in the knowledge graph.

[Tool]
Falling back to an unconstrained search on the full precomputed search indices:
SPARQL query contains no IRIs to constrain with

Top 10 entity alternatives:
1. Isthmus of Panama, also known as Istmo de Panama, Istmo de Panamá, Panama Isthmus (wd:Q182139): narrow landstrip in Panama
2. Hydrology of the Isthmus of Panama (wd:Q33778332): scientific article
3. Ferns of the Isthmus of Panama (wd:Q56189008)
4. Formation of the Isthmus of Panama (wd:Q26740287): scientific article
5. Historical biogeography of the Isthmus of Panama (wd:Q30656167): scientific article
6. Piercing the Isthmus of Panama 1 (wd:Q60414062): scientific article published in Nature
7. Across the Isthmus of Panama in 1912 (wd:Q3604775): 1912 film
8. How old is the Isthmus of Panama? (wd:Q61465180): article published in 2013
9. Dengue-like fever on the Isthmus of Panama. (wd:Q41093706): scientific article published on January 1945
10. Fauna of the Gatun Formation, Isthmus of Panama (wd:Q106954095)

No other items found

[Assistant]
The search has returned the Isthmus of Panama (wd:Q182139) as the top result, which is what we are looking for. Now, let's find the geographical coordinates of the Isthmus of Panama.

We can use the `list` function to find triples where the Isthmus of Panama is the subject and the property is related to geographical coordinates, such as `wdt:P625` (coordinate location).

Let's list the relevant triples.

[Tool]
Got 1 row and 3 columns:
| subject                        | property                       | object                     |
| ------------------------------ | ------------------------------ | -------------------------- |
| Isthmus of Panama (wd:Q182139) | coordinate location (wdt:P625) | POINT(-79.000000 9.000000) |

[Assistant]
The Isthmus of Panama (wd:Q182139) has the geographical coordinates `POINT(-79.000000 9.000000)`. These coordinates indicate that the Isthmus of Panama is located at approximately 9 degrees north latitude and 79 degrees west longitude.

Now, let's construct a SPARQL query to retrieve these coordinates and their corresponding IRI.

Here is the SPARQL query:

```sparql
SELECT ?isthmus ?coordinates
WHERE {
  wd:Q182139 wdt:P625 ?coordinates .
  BIND(wd:Q182139 AS ?isthmus)
}
```

Let's execute this query to confirm the result.

[Tool]
Got 1 row and 2 columns:
| ?isthmus                       | ?coordinates               |
| ------------------------------ | -------------------------- |
| Isthmus of Panama (wd:Q182139) | POINT(-79.000000 9.000000) |

[Assistant]
The SPARQL query has successfully retrieved the IRI of the Isthmus of Panama and its geographical coordinates. The Isthmus of Panama (wd:Q182139) is located at approximately 9 degrees north latitude and 79 degrees west longitude.

Here is the final SPARQL query and the answer to the user's question:

```sparql
SELECT ?isthmus ?coordinates
WHERE {
  wd:Q182139 wdt:P625 ?coordinates .
  BIND(wd:Q182139 AS ?isthmus)
}
```

The Isthmus of Panama is located at the coordinates `POINT(-79.000000 9.000000)`.

Now, I will provide the final answer using the `answer` function.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?government ?governmentLabel WHERE {
  wd:Q183 wdt:P122 ?government .
  OPTIONAL {
    ?government rdfs:label ?governmentLabel .
    FILTER ( LANG( ?governmentLabel ) = "en" )
  }
}

Got 4 rows and 2 columns:
| ?government                                  | ?governmentLabel               |
| -------------------------------------------- | ------------------------------ |
| parliamentary republic (wd:Q4198907)         | parliamentary republic         |
| federation (wd:Q43702)                       | federation                     |
| federal parliamentary republic (wd:Q5440547) | federal parliamentary republic |
| republic (wd:Q7270)                          | republic                       |

Germany is currently a federal parliamentary republic.

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

You have access to the following knowledge graphs:
wikidata at 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 type of government does germany have now?

[Assistant]
To answer the question about the current type of government in Germany, I need to identify the relevant entity for Germany and the property that represents the form of government. I will start by searching for Germany as an entity.

### Step 1: Identify the Entity for Germany
I will use the `search` function to find the entity for Germany.

```json
{
  "name": "search",
  "arguments": {
    "kg": "wikidata",
    "sparql": "SELECT * WHERE { ?search ?p ?o }",
    "query": "Germany"
  }
}
```

Let's execute this search to find the entity for Germany.

[Tool]
Falling back to an unconstrained search on the full precomputed search indices:
SPARQL query contains no IRIs to constrain with

Top 10 entity alternatives:
1. Germany, also known as BR Deutschland, Bundesrepublik Deutschland, Deutschland, Federal Republic of Germany (wd:Q183): country in Central Europe
2. Weimar Republic, also known as German Republic, Weimar Germany, Republic of Germany, Germany, German Reich (wd:Q41304): Germany in the years 1918/1919–1933
3. German Reich, also known as Deutsches Reich, German Empire, German Realm, Germany, Imperial Germany (wd:Q1206012): official name for the German nation state from 1871 to 1945, and name of Germany until 1949
4. Burg Drachenfels, also known as Germany (wd:Q1011486): castle
5. Germany (wd:Q5552078): European Parliament constituency
6. Geilenkirchen-Heinsberg, also known as Germany (wd:Q2268218)
7. Germany, also known as Germany, IN, Germany, Indiana (wd:Q18151573): unincorporated community in Clark County, Indiana
8. Germany (wd:Q19147844): poem by Vladimir Mayakovsky
9. Germany, also known as Ludwig, West (wd:Q3839160): Hetalia character
10. Germany, also known as Germany, Texas, Germany, TX (wd:Q15221573): unincorporated community in Houston County, Texas, United States

No other items found

[Assistant]
From the search results, the most relevant entity for Germany is `wd:Q183`, which represents the Federal Republic of Germany.

### Step 2: Identify the Property for Form of Government
Next, I need to find the property that represents the form of government. I will use the `search` function again to find this property.

```json
{
  "name": "search",
  "arguments": {
    "kg": "wikidata",
    "sparql": "SELECT * WHERE { wd:Q183 ?search ?o }",
    "query": "government"
  }
}
```

Let's execute this search to find the property for the form of government.

[Tool]
Top 10 property alternatives:
1. basic form of government, also known as form of government, government, type of government (wd:P122 as wdt/p): subject's government
2. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as wdt/p): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson
3. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as wdt/p): seat of government of a country, province, state or other type of administrative territorial entity
4. office held by head of government, also known as title of head of government, position of head of government, office of head of government, head of government's office, position held by head of government (wd:P1313 as wdt/p): political office that is fulfilled by the head of the government of this item
5. legislative body, also known as aboriginal council, Zila, Tehsil, rural council, representative body (wd:P194 as wdt/p): legislative body governing this entity; political institution wi...ted representatives, such as a parliament/legislature or council
6. executive body, also known as executive branch (wd:P208 as wdt/p): branch of government for the daily administration of the territorial entity
7. Historical Gazetteer (GOV) ID, also known as GOV ID, GOV-ID (wd:P2503 as wdt/p): Historical Gazetteer
8. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
9. office held by head of state, also known as head of state, position held by head of state, state headed by (wd:P1906 as wdt/p): political office that is fulfilled by the head of state of this item
10. head of state, also known as leader, state headed by, monarch, president, queen (wd:P35 as wdt/p): official with the highest formal authority in a country/state, director / manager, chairperson

No other items found

[Assistant]
From the search results, the most relevant property for the form of government is `wd:P122`, which represents the basic form of government.

### Step 3: Construct the SPARQL Query
Now that I have identified the entity for Germany (`wd:Q183`) and the property for the form of government (`wd:P122`), I can construct the SPARQL query to find the current form of government in Germany.

```sparql
SELECT ?government ?governmentLabel
WHERE {
  wd:Q183 wdt:P122 ?government.
  OPTIONAL { ?government rdfs:label ?governmentLabel. FILTER(LANG(?governmentLabel) = "en") }
}
```

Let's execute this query to get the result.

[Tool]
Got 4 rows and 2 columns:
| ?government                                  | ?governmentLabel               |
| -------------------------------------------- | ------------------------------ |
| parliamentary republic (wd:Q4198907)         | parliamentary republic         |
| federation (wd:Q43702)                       | federation                     |
| federal parliamentary republic (wd:Q5440547) | federal parliamentary republic |
| republic (wd:Q7270)                          | republic                       |

[Assistant]
The results show multiple forms of government associated with Germany. To provide a concise and accurate answer, I will focus on the most specific and commonly recognized form of government, which is "federal parliamentary republic."

### Final Answer
Germany is currently a federal parliamentary republic.

Here is the final SPARQL query and answer:

```sparql
SELECT ?government ?governmentLabel
WHERE {
  wd:Q183 wdt:P122 ?government.
  OPTIONAL { ?government rdfs:label ?governmentLabel. FILTER(LANG(?governmentLabel) = "en") }
}
```

Answer: Germany is currently a federal parliamentary republic.

Let's finalize this with the `answer` function.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?state WHERE {
  wd:Q1265 wdt:P131 ?state .
  ?state wdt:P17 wd:Q30 .
}

Got 5 rows and 1 column:
| ?state              |
| ------------------- |
| Nevada (wd:Q1227)   |
| Colorado (wd:Q1261) |
| Arizona (wd:Q816)   |
| Utah (wd:Q829)      |
| California (wd:Q99) |

The Colorado River runs through the following U.S. states: Nevada, Colorado, Arizona, Utah, and California.

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

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

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

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

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

[User] which states does the colorado river run through?

[Assistant] To answer the question about which states the Colorado River runs through, I need to identify the entity for the Colorado River and the property that indicates the states it flows through. Let's start by searching for the Colorado River entity.

[Tool]
Falling back to an unconstrained search on the full precomputed search indices:
SPARQL query contains no IRIs to constrain with

Top 10 entity alternatives:
1. Colorado River, also known as Rio de Buena Guia, Rio Colorado, Rio Colorado del Norte, Rio Colorado Del Norte, Rio Cosnina (wd:Q1265): major river in the western United States and Mexico
2. Colorado River (wd:Q270627): river in Argentina
3. Brazos River, also known as Los Brazos de Dios, Uhkto'wusi'yohe, Tokonohono, The River of the Arms of God, Rio Trinidad (wd:Q903306): river in Texas, United States
4. Colorado River (wd:Q847785): river in Texas, United States
5. Colorado River (wd:Q2984377): river in Costa Rica
6. Colorado River (wd:Q5148881): river in Bolivia
7. Colorado River (wd:Q5148884)
8. Colorado River, also known as Colorado River (Maipo) (wd:Q5148879): tributary of Maipo River in RM, Chile
9. Colorado river (wd:Q23649107): watercourse in Chile
10. Colorado River, also known as Rio Colorado (wd:Q5148883): river in Rondônia, Brazil

No other items found

[Assistant] The top result for the Colorado River is `wd:Q1265`, which refers to the major river in the western United States and Mexico. This is the correct entity for the Colorado River we are interested in. Next, I need to find the property that indicates the states the river flows through. I will search for properties related to the Colorado River that might indicate the states it runs through.

[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 wdt/p): 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 wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
3. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as wdt/p): label for the items in their official language  or their original language, name
4. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
5. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt/p): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
6. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
7. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
8. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as wdt/p): main Wikimedia category
9. continent (wd:P30 as wdt/p): continent of which the subject is a part, located in/on physical feature

No other items found

[Assistant]
The property `wdt:P131` (located in the administrative territorial entity) seems to be the most relevant for identifying the states the Colorado River flows through. This property indicates the administrative regions where the river is located. Let's construct a SPARQL query to retrieve the states the Colorado River runs through using this property.

I will start with a simple query to see if it returns the expected results.

[Tool]
Got 7 rows and 1 column:
| ?state                      |
| --------------------------- |
| Nevada (wd:Q1227)           |
| Colorado (wd:Q1261)         |
| Sonora (wd:Q46422)          |
| Baja California (wd:Q58731) |
| Arizona (wd:Q816)           |
| Utah (wd:Q829)              |
| California (wd:Q99)         |

[Assistant]
The initial query returned the states and regions where the Colorado River flows through, including both U.S. states and Mexican states. However, the user is likely interested in the U.S. states specifically. To filter out the U.S. states, I need to add a condition to check if the state is located in the United States.

Let's refine the query to include only the U.S. states.

[Tool]
Got 5 rows and 1 column:
| ?state              |
| ------------------- |
| Nevada (wd:Q1227)   |
| Colorado (wd:Q1261) |
| Arizona (wd:Q816)   |
| Utah (wd:Q829)      |
| California (wd:Q99) |

[Assistant]
The refined query successfully returned the U.S. states through which the Colorado River flows: Nevada, Colorado, Arizona, Utah, and California.

Here is the final SPARQL query and the answer to the user's question:

```sparql
SELECT ?state WHERE {
  wd:Q1265 wdt:P131 ?state .
  ?state wdt:P17 wd:Q30 .
}
```

The Colorado River runs through the following U.S. states: Nevada, Colorado, Arizona, Utah, and California.

[Tool] Stopped generation process