PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?religion ( SUM( ?population ) AS ?totalPopulation ) WHERE {
  ?group wdt:P1082 ?population ; wdt:P17 wd:Q252 ; wdt:P140 ?religion .
}
GROUP BY ?religion

The major religions practiced in Indonesia, along with their populations, are as follows:
- **Islam**: 425,331,230
- **Catholicism**: 286,544,558
- **Protestantism**: 282,900,817
- **Buddhism**: 281,740,132
- **Hinduism**: 281,740,132
- **Confucianism**: 276,270,460
- **Kejawen**: 100,000,000
- **Animism**: 219,500
- **Christianity**: 14,047,400
- **Catholic Church**: 259,707,536

[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 religions practiced in indonesia?

[Assistant]
To answer the question about the religions practiced in Indonesia, we need to identify the entity for Indonesia and then find the properties related to religion or religious demographics.

First, let's search for the entity representing Indonesia.

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

[Assistant]
The top result for "Indonesia" is `wd:Q252`, which represents the country. Next, we need to find properties related to religion or religious demographics for this entity.

Let's search for properties related to religion for the entity `wd:Q252`.

[Tool]
Top 10 property alternatives:
1. 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
2. culture, also known as archaeological culture, civilisation, civilization (wd:P2596 as p/wdt): human culture or people (or several cultures) associated with this item, part of
3. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as p/wdt): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
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. flag, also known as flag description (wd:P163 as p/wdt): subject's flag
6. legislative body, also known as aboriginal council, Zila, Tehsil, rural council, representative body (wd:P194 as p/wdt): legislative body governing this entity; political institution wi...ted representatives, such as a parliament/legislature or council
7. basic form of government, also known as form of government, government, type of government (wd:P122 as p/wdt): subject's government
8. population, also known as inhabitants, human population (wd:P1082 as p/wdt): number of people inhabiting the place; number of people of subject
9. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
10. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as p/wdt): language designated as official by this item, language used

No other items found

[Assistant]
The property `P140` (religion or worldview) seems to be the most relevant for finding the religions practiced in Indonesia. However, it is typically used for individuals or organizations rather than countries. We might need to look for a different property that specifically relates to the religious demographics of a country.

Let's try searching for the property "religious demographics" or "religion" more broadly to see if there is a more suitable property.

[Tool]
Top 10 property alternatives:
1. demographics of topic, also known as demography of topic (wd:P9241 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): native language population of a place, population
8. female population (wd:P1539 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/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/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): general population census of the country or region
10. male population, also known as male inhabitants, number of males (wd:P1540 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): number of male people inhabiting the place; number of male people of subject, population

[Assistant]
The property `P9241` (demographics of topic) seems to be the most relevant for finding the religious demographics of a country. Let's check if this property is used for Indonesia and what it links to.

We will run a SPARQL query to see if `P9241` is used for Indonesia and what it links to.

[Tool]
Got 1 row and 1 column:
| ?demographics                           |
| --------------------------------------- |
| demographics of Indonesia (wd:Q1185994) |

[Assistant]
The property `P9241` (demographics of topic) links to `wd:Q1185994`, which represents the demographics of Indonesia. Now, we need to find the specific religious demographics within this entity.

Let's search for properties related to religion or religious demographics for the entity `wd:Q1185994`.

[Tool]
Top 10 property alternatives:
1. 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
2. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as p/wdt): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
3. death rate, also known as mortality rate (wd:P10091 as p/wdt): the total number of persons dead per 1,000 population per year
4. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
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. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as p/wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
7. has census, also known as has human population census (wd:P8701 as p/wdt): general population census of the country or region

No other items found

[Assistant]
It appears that the entity `wd:Q1185994` (demographics of Indonesia) does not have a direct property for religious demographics. However, we can try to find the religious demographics by looking at the statements and qualifiers associated with this entity.

Let's run a more detailed SPARQL query to explore the properties and values associated with `wd:Q1185994` to find the religious demographics.

[Tool]
Got 100 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?property          | ?value                                                              |
| ------------------ | ------------------------------------------------------------------- |
| schema:description | "conjunto de características, di...de la población de Indonesia"@es |
| schema:description | demographics of country                                             |
| schema:name        | "déimeagrafaic na hIndinéise"@ga                                    |
| schema:name        | "demograffeg Indonesia"@cy                                          |
| schema:name        | "demografia da Indonésia"@pt                                        |
| ...                | ...                                                                 |
| skos:prefLabel     | "demografi Indonesia"@id                                            |
| skos:prefLabel     | "Demografi Indonesia"@ms                                            |
| skos:prefLabel     | "Démografi Indonésia"@jv                                            |
| skos:prefLabel     | "demografija Indonezije"@sl                                         |
| skos:prefLabel     | "Demografija Indonezije"@sr                                         |

[Assistant]
The results show various descriptions and names in different languages, but no specific properties related to religious demographics. This suggests that the religious demographics might be represented in a more structured way, possibly through statements and qualifiers.

Let's try to find the religious demographics by looking at the statements and qualifiers associated with `wd:Q1185994`. Specifically, we will look for properties like `P140` (religion or worldview) and see if they are used in a structured way to represent religious demographics.

We will run a more focused SPARQL query to find the religious demographics of Indonesia.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that the entity `wd:Q1185994` (demographics of Indonesia) does not have direct statements with the property `P140` (religion or worldview) and a qualifier for population (`P1110`). This suggests that the religious demographics might be represented differently or not directly linked to this entity.

Let's try another approach by searching for the religious demographics of Indonesia directly. We can look for entities that represent religious groups in Indonesia and their populations.

First, let's search for entities related to religious groups in Indonesia.

[Tool]
Top 10 entity alternatives:
1. Internet in Indonesia (wd:Q1526546): overview of the Internet in Indonesia
2. Indonesia, also known as id, ID, IDN, INA, Republic of Indonesia (wd:Q252): island country in Southeast Asia and Oceania
3. Indian religions, also known as Dharmic religions, Indic religions (wd:Q1651597): religions that originated in the Indian subcontinent
4. economy of Indonesia, also known as economy (Indonesia), economy in Indonesia, Indonesia economy, Indonesia's economy (wd:Q1610285): national economy
5. religion in Africa, also known as overview of religion in Africa, religions in Africa, religions of Africa (wd:Q1076557): religious overview
6. Islam in Indonesia (wd:Q141770): overview about Islam in Indonesia
7. Nusantara, also known as Indonesian Islands, Old Javanese name for Indonesia, Nusantara Islands, Nusantara Archipelago, Indonesian Archipelago (wd:Q49332): Old Javanese term for the archipelagic Majapahit territory
8. culture of Indonesia, also known as culture in Indonesia, Indonesia culture, Indonesian culture (wd:Q2717220): overview of the culture of Indonesia
9. religion in Indonesia (wd:Q2606232): religion in the country
10. time in Indonesia, also known as UTC+07:00, UTC+08:00, UTC+09:00 in Indonesia, WIB+2, WIB+1, WIB±0, UTC+7, UTC+8, UTC+9 in Indonesia (wd:Q2581153): Three time zones spanning across the country

[Assistant]
The entity `wd:Q2606232` (religion in Indonesia) seems to be the most relevant for finding the religious demographics of Indonesia. Let's explore this entity to find the specific religious groups and their populations.

We will run a SPARQL query to find the religious groups and their populations associated with `wd:Q2606232`.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that the entity `wd:Q2606232` (religion in Indonesia) does not have direct statements with the property `P140` (religion or worldview) and a qualifier for population (`P1110`). This suggests that the religious demographics might be represented differently or not directly linked to this entity either.

Given this, let's try a different approach by searching for specific religious groups in Indonesia and their populations. We can look for entities that represent major religions in Indonesia and then find their populations.

Let's start by searching for the major religions in Indonesia, such as Islam, Christianity, Hinduism, and Buddhism.

[Tool]
Top 10 entity alternatives:
1. Islam in Indonesia (wd:Q141770): overview about Islam in Indonesia
2. Shia Islam in Indonesia (wd:Q7495953): islam in Indonesia
3. Traditionalism (Islam in Indonesia) (wd:Q58375759): religious strand in Indonesia
4. Market Islam in Indonesia (wd:Q59823643): scholarly article by Daromir Rudnyckyj published May 2009 in Journal of the Royal Anthropological Institute
5. spread of Islam in Indonesia (wd:Q7580263): Islamic conversion of Indonesia
6. Islamic University of Indonesia, also known as Universitas Islam Indonesia, UII (wd:Q350752): Private university in Yogyakarta, Indonesia
7. Administration of Islam in Indonesia (wd:Q118122392): book by Deliar Noer
8. Islam in Indonesia and Turkiye (wd:Q113224364): scientific article published on 13 July 2022
9. Indonesia Institute of Islamic Dawah, also known as LDII, Lembaga Dakwah Islam Indonesia (wd:Q6025862): social organizations in Indonesia
10. Indonesia Institute of Islamic Dawah, also known as LDII, Lembaga Dakwah Islam Indonesia (wd:Q6025862): social organizations in Indonesia

[Assistant]
The entity `wd:Q141770` (Islam in Indonesia) seems to be the most relevant for finding information about Islam in Indonesia. Let's check if this entity has any statements about the population of Muslims in Indonesia.

We will run a SPARQL query to find the population of Muslims in Indonesia associated with `wd:Q141770`.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the entity `wd:Q141770` (Islam in Indonesia) does not have a direct statement for the population of Muslims in Indonesia. This suggests that the population data might be represented differently or not directly linked to this entity.

Let's try another approach by searching for the population of Muslims in Indonesia directly. We can look for entities that represent the population of religious groups in Indonesia.

Let's search for the population of Muslims in Indonesia using a more general approach.

[Tool]
Got 1,923 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?religion                   | ?population |
| --------------------------- | ----------- |
| Bugis people (wd:Q1002570)  | 6400000     |
| Anambas Islands (wd:Q10096) | 41188       |
| Bintan (wd:Q10097)          | 142382      |
| Karimun (wd:Q10098)         | 237002      |
| Natuna Regency (wd:Q10100)  | 71448       |
| ...                         | ...         |
| Pino Raya (wd:Q9639460)     | 22445       |
| Curup (wd:Q9644909)         | 27093       |
| Sepatan (wd:Q965413)        | 123047      |
| Pantar Island (wd:Q974980)  | 30000       |
| Tanjung Selor (wd:Q976062)  | 56569       |

[Assistant]
The results show various entities and their populations, but they are not specifically related to religious groups. This suggests that the population data for religious groups might be represented differently or not directly linked to the country entity.

Given this, let's try a different approach by searching for specific religious groups and their populations in Indonesia. We can look for entities that represent major religions in Indonesia and then find their populations.

Let's search for the population of Muslims, Christians, Hindus, and Buddhists in Indonesia using a more targeted approach.

We will search for the entities representing these religious groups and then find their populations in Indonesia.

[Tool]
Top 10 entity alternatives:
1. Islamic terrorism in Indonesia: ...Strategies and Muslim Population (wd:Q128457202): scholarly article
2. Persatuan Muslim Indonesia, also known as PERMI (wd:Q19730777): Political party
3. Indonesia Muslim Youth, also known as Islamic Youth (wd:Q85993457): The oldest Islamic youth organization in Indonesia
4. Indonesian Muslim University of Makassar, also known as UMI, Universitas Muslim Indonesia (wd:Q12523408): Private university in Makassar
5. Perhimpunan Intelektual Muslim Indonesia (wd:Q74530343): organisation involved in scholarly research
6. The population dynamics in Indonesia. (wd:Q31108840): scientific article
7. Indonesian Muslim Council (wd:Q64586035): satnam shree waheguru ji
8. Puteri Muslimah Indonesia (wd:Q25460425): Muslim beauty pageant
9. Indonesian Muslim Family in Taiwan (wd:Q30949003): religious organization in Taiwan
10. Growth of Muslim Population in Medieval India (wd:Q5611764): book by K. S. Lal

[Assistant]
None of the top results for "Muslim population in Indonesia" directly provide the population data. Let's try a more direct approach by searching for the population of Muslims in Indonesia using a specific property and qualifier.

We will search for the population of Muslims in Indonesia using the property `P1082` (population) and the qualifier `P551` (country) set to Indonesia (`wd:Q252`).

Let's run a SPARQL query to find the population of Muslims in Indonesia.

[Tool] Got no rows and 2 columns

[Assistant]
It seems that the population of Muslims in Indonesia is not directly linked to the country entity using the property `P1082` (population) and the qualifier `P551` (country). This suggests that the religious demographic data might be represented differently or not directly linked to the country entity.

Given this, let's try a different approach by searching for the religious demographics of Indonesia using a more structured query. We can look for entities that represent religious groups and their populations in Indonesia.

Let's search for the population of Muslims, Christians, Hindus, and Buddhists in Indonesia using a more targeted approach.

We will search for the entities representing these religious groups and then find their populations in Indonesia.

Let's start by searching for the population of Muslims in Indonesia using a more general approach, and then we will do the same for other major religions.

### Step 1: Search for the population of Muslims in Indonesia

We will search for the entity representing Muslims in Indonesia and then find the population associated with it.

[Tool]
Top 10 entity alternatives:
1. Civil Islam: Muslims and Democratization in Indonesia (wd:Q114290234): book published in 2000
2. Moderate Muslims and Democratic Breakdown in Indonesia (wd:Q127566321): scholarly article
3. Internet in Indonesia (wd:Q1526546): overview of the Internet in Indonesia
4. Muslims in India, also known as Contributions Of Muslims To Indian Subcontinent (wd:Q105611067): Book by Abul Hasan Ali Nadwi
5. Gender inequality and judicial d... in Muslims divorce of Indonesia (wd:Q122165855): scientific article published in 2023
6. Muslims with Tattoos: The Punk Muslim Community in Indonesia (wd:Q130133683): scholarly article published on 26 June 2017
7. Indonesia, also known as id, ID, IDN, INA, Republic of Indonesia (wd:Q252): island country in Southeast Asia and Oceania
8. economy of Indonesia, also known as economy (Indonesia), economy in Indonesia, Indonesia economy, Indonesia's economy (wd:Q1610285): national economy
9. Islam in Indonesia (wd:Q141770): overview about Islam in Indonesia
10. Nusantara, also known as Indonesian Islands, Old Javanese name for Indonesia, Nusantara Islands, Nusantara Archipelago, Indonesian Archipelago (wd:Q49332): Old Javanese term for the archipelagic Majapahit territory

[Assistant]
The entity `wd:Q141770` (Islam in Indonesia) seems to be the most relevant for finding information about Muslims in Indonesia. Let's check if this entity has any statements about the population of Muslims in Indonesia.

We will run a SPARQL query to find the population of Muslims in Indonesia associated with `wd:Q141770`.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the entity `wd:Q141770` (Islam in Indonesia) does not have a direct statement for the population of Muslims in Indonesia. This suggests that the population data might be represented differently or not directly linked to this entity.

Given this, let's try a different approach by searching for the population of Muslims in Indonesia using a more general query. We can look for entities that represent the population of religious groups in Indonesia and then filter by the country.

Let's search for the population of religious groups in Indonesia using a more general approach.

### Step 1: Search for the population of religious groups in Indonesia

We will search for entities that represent religious groups and their populations in Indonesia.

Let's run a SPARQL query to find the population of religious groups in Indonesia.

[Tool]
Got 1,923 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?religion                   | ?population |
| --------------------------- | ----------- |
| Bugis people (wd:Q1002570)  | 6400000     |
| Anambas Islands (wd:Q10096) | 41188       |
| Bintan (wd:Q10097)          | 142382      |
| Karimun (wd:Q10098)         | 237002      |
| Natuna Regency (wd:Q10100)  | 71448       |
| ...                         | ...         |
| Pino Raya (wd:Q9639460)     | 22445       |
| Curup (wd:Q9644909)         | 27093       |
| Sepatan (wd:Q965413)        | 123047      |
| Pantar Island (wd:Q974980)  | 30000       |
| Tanjung Selor (wd:Q976062)  | 56569       |

[Assistant]
The results show various entities and their populations, but they are not specifically related to religious groups. This suggests that the population data for religious groups might be represented differently or not directly linked to the country entity.

Given this, let's try a different approach by searching for the population of specific religious groups in Indonesia using a more targeted approach. We can look for entities that represent major religions in Indonesia and then find their populations.

### Step 1: Search for the population of Muslims in Indonesia

We will search for the entity representing Muslims in Indonesia and then find the population associated with it.

Let's search for the population of Muslims in Indonesia using a more targeted approach.

### Step 2: Search for the population of Christians in Indonesia

We will search for the entity representing Christians in Indonesia and then find the population associated with it.

### Step 3: Search for the population of Hindus in Indonesia

We will search for the entity representing Hindus in Indonesia and then find the population associated with it.

### Step 4: Search for the population of Buddhists in Indonesia

We will search for the entity representing Buddhists in Indonesia and then find the population associated with it.

Let's start with the population of Muslims in Indonesia.

#### Step 1: Search for the population of Muslims in Indonesia

We will search for the entity representing Muslims in Indonesia and then find the population associated with it.

Let's run a SPARQL query to find the population of Muslims in Indonesia using the entity `wd:Q141770` (Islam in Indonesia) and the property `P1082` (population).

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the entity `wd:Q141770` (Islam in Indonesia) does not have a direct statement for the population of Muslims in Indonesia. This suggests that the population data might be represented differently or not directly linked to this entity.

Given this, let's try a different approach by searching for the population of religious groups in Indonesia using a more general query. We can look for entities that represent the population of religious groups in Indonesia and then filter by the country.

### Step 1: Search for the population of religious groups in Indonesia

We will search for entities that represent religious groups and their populations in Indonesia.

Let's run a SPARQL query to find the population of religious groups in Indonesia using a more general approach.

We will use the property `P1082` (population) and the qualifier `P551` (country) set to Indonesia (`wd:Q252`), but this time we will also include the property `P140` (religion or worldview) to filter for religious groups.

Let's run the following SPARQL query:

```sparql
SELECT ?religion ?population WHERE {
  ?group wdt:P1082 ?population ;
         wdt:P17 wd:Q252 ;
         wdt:P140 ?religion .
}
```

This query will find the population of religious groups in Indonesia and their associated religions.

Let's execute this query.

[Tool]
Got 89 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?religion                       | ?population |
| ------------------------------- | ----------- |
| Islam (wd:Q432)                 | 6600000     |
| Islam (wd:Q432)                 | 4099070     |
| Islam (wd:Q432)                 | 7200000     |
| Balinese Hinduism (wd:Q4850935) | 4000000     |
| Catholic Church (wd:Q9592)      | 688477      |
| ...                             | ...         |
| Catholic Church (wd:Q9592)      | 23314195    |
| Catholic Church (wd:Q9592)      | 852071      |
| Catholic Church (wd:Q9592)      | 9709927     |
| Catholic Church (wd:Q9592)      | 856230      |
| Catholic Church (wd:Q9592)      | 19795950    |

[Assistant]
The results show multiple entries for the population of religious groups in Indonesia, but they seem to be duplicated and not aggregated. This suggests that the data might be spread across multiple entities or statements.

To get a more accurate and aggregated view of the religious demographics in Indonesia, we need to aggregate the population data for each religion. We can use the `GROUP BY` and `SUM` functions in SPARQL to achieve this.

Let's run a SPARQL query to aggregate the population data for each religious group in Indonesia.

```sparql
SELECT ?religion (SUM(?population) AS ?totalPopulation) WHERE {
  ?group wdt:P1082 ?population ;
         wdt:P17 wd:Q252 ;
         wdt:P140 ?religion .
} GROUP BY ?religion
```

This query will sum the population for each religious group in Indonesia.

Let's execute this query.

[Tool]
Got 12 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?religion                  | ?totalPopulation |
| -------------------------- | ---------------- |
| Catholicism (wd:Q1841)     | 286544558        |
| Protestantism (wd:Q23540)  | 282900817        |
| Kejawen (wd:Q3173931)      | 100000000        |
| animism (wd:Q43004)        | 219500           |
| Islam (wd:Q432)            | 425331230        |
| ...                        | ...              |
| Christianity (wd:Q5043)    | 14047400         |
| Buddhism (wd:Q748)         | 281740132        |
| Hinduism (wd:Q9089)        | 281740132        |
| Confucianism (wd:Q9581)    | 276270460        |
| Catholic Church (wd:Q9592) | 259707536        |

[Assistant]
The results show the aggregated population for each religious group in Indonesia. Here are the major religions practiced in Indonesia along with their populations:

- **Islam**: 425,331,230
- **Catholicism**: 286,544,558
- **Protestantism**: 282,900,817
- **Buddhism**: 281,740,132
- **Hinduism**: 281,740,132
- **Confucianism**: 276,270,460
- **Kejawen**: 100,000,000
- **Animism**: 219,500
- **Christianity**: 14,047,400
- **Catholic Church**: 259,707,536

These results provide a comprehensive view of the religious demographics in Indonesia.

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

```sparql
SELECT ?religion (SUM(?population) AS ?totalPopulation) WHERE {
  ?group wdt:P1082 ?population ;
         wdt:P17 wd:Q252 ;
         wdt:P140 ?religion .
} GROUP BY ?religion
```

The major religions practiced in Indonesia, along with their populations, are as follows:
- **Islam**: 425,331,230
- **Catholicism**: 286,544,558
- **Protestantism**: 282,900,817
- **Buddhism**: 281,740,132
- **Hinduism**: 281,740,132
- **Confucianism**: 276,270,460
- **Kejawen**: 100,000,000
- **Animism**: 219,500
- **Christianity**: 14,047,400
- **Catholic Church**: 259,707,536

These are the major religions practiced in Indonesia.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?coordinates ?continent WHERE {
  wd:Q783 wdt:P625 ?coordinates ; wdt:P30 ?continent .
}

Honduras is located in North America at the coordinates POINT(-86.816667 14.633333).

[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 honduras in the world?

[Assistant] To answer the question "Where is Honduras in the world?", we need to find the geographical location of Honduras. We can start by searching for the entity representing Honduras in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Honduras, also known as hn, HN, HND, HON, Honduran Republic (wd:Q783): sovereign state in Central America
2. Hong Shengde, also known as Honduras (wd:Q9306612): Taiwanese actor, presenter, actor
3. Honduras, also known as Honduras, Barranquitas, Honduras Barrio, Honduras, Puerto Rico (wd:Q2879306): barrio in Barranquitas, Puerto Rico
4. Honduras, also known as Honduras, Cidra, Honduras, Puerto Rico, Honduras Barrio (wd:Q5901523): barrio in Cidra, Puerto Rico
5. Honduras, also known as Honduras, IN, Honduras, Indiana (wd:Q5893062): unincorporated community in Adams County, Indiana, United States
6. Honduras (wd:Q5901519): 1814 schooner
7. Honduras (wd:Q12891576)
8. Honduras (wd:Q12891575)
9. Honduras de la Sierra, also known as Honduras (wd:Q49978176): human settlement of Chiapas, Mexico
10. Honduras (wd:Q41377915): scientific article published on August 1985

[Assistant] The top result for "Honduras" is the sovereign state in Central America, which is what we are looking for. Let's use this entity to find its geographical location. We will look for properties related to the location of Honduras.

[Tool]
Top 10 property alternatives:
1. 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
2. geoshape, also known as Commons map data, geographic data, geographic shape, .map, map data (wd:P3896 as p/wdt): geographic data from Wikimedia Commons
3. locator map image, also known as locator map, map image, map (wd:P242 as p/wdt): geographic map image which highlights the location of the subject within some larger entity, image
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. 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
6. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as p/wdt): area occupied by an object
7. 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)
8. located in time zone, also known as TZ, time zone, timezone (wd:P421 as p/wdt): time zone for this item
9. motto text, also known as mission statement, travel slogan, tourism slogan, tagline, strapline (wd:P1451 as p/wdt): short motivation sentence associated to item
10. subreddit, also known as r/, reddit, Reddit community ID, Reddit forum, Reddit sub ID (wd:P3984 as p/wdt): name of the Reddit forum associated to this subject

No other items found

[Assistant]
From the list of properties, `coordinate location` (P625) and `country` (P17) seem relevant to finding the location of Honduras. We will use these properties to construct a SPARQL query to get the geographical location of Honduras.

Let's start with a simple query to get the coordinates and the country where Honduras is located.

[Tool]
Got 1 row and 2 columns:
| ?coordinates                | ?country           |
| --------------------------- | ------------------ |
| POINT(-86.816667 14.633333) | Honduras (wd:Q783) |

[Assistant]
The query returned the coordinates and the country for Honduras. However, the country is the same as the entity we queried, which is not very useful. We need to find the broader region or continent where Honduras is located.

Let's try to find the continent where Honduras is located by querying the `continent` property (P30).

First, let's check if the `continent` property is available for Honduras.

[Tool]
Top 10 property alternatives:
1. continent (wd:P30 as p/wdt): continent of which the subject is a part, located in/on physical feature
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. 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
4. contains the administrative territorial entity, also known as has shires, has rural cities, has regions, has municipalities, has members (wd:P150 as p/wdt): (list of) direct subdivisions of an administrative territorial entity, has part(s)
5. geography of topic (wd:P2633 as p/wdt): item that deals with the geography of the subject. Sample: "Rio ...10288853). For the location of a subject, use "location" (P276).
6. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as p/wdt): area occupied by an object
7. located in time zone, also known as TZ, time zone, timezone (wd:P421 as p/wdt): time zone for this item
8. GeoNames ID, also known as GeoNames, Geonames Id (wd:P1566 as p/wdt/wdtn): identifier in the GeoNames geographical database
9. geoshape, also known as Commons map data, geographic data, geographic shape, .map, map data (wd:P3896 as p/wdt): geographic data from Wikimedia Commons
10. locator map image, also known as locator map, map image, map (wd:P242 as p/wdt): geographic map image which highlights the location of the subject within some larger entity, image

No other items found

[Assistant]
The `continent` property (P30) is available for Honduras. Let's modify our SPARQL query to include the continent where Honduras is located.

Here is the updated query:

```sparql
SELECT ?coordinates ?country ?continent WHERE {
  wd:Q783 wdt:P625 ?coordinates ;
          wdt:P17 ?country ;
          wdt:P30 ?continent .
}
```

Let's execute this query to get the coordinates, country, and continent of Honduras.

[Tool]
Got 1 row and 3 columns:
| ?coordinates                | ?country           | ?continent             |
| --------------------------- | ------------------ | ---------------------- |
| POINT(-86.816667 14.633333) | Honduras (wd:Q783) | North America (wd:Q49) |

[Assistant]
The query returned the coordinates, country, and continent of Honduras. Honduras is located in North America.

To provide a clear and concise answer to the user, we can use the following SPARQL query:

```sparql
SELECT ?coordinates ?continent WHERE {
  wd:Q783 wdt:P625 ?coordinates ;
          wdt:P30 ?continent .
}
```

This query will return the coordinates and the continent of Honduras.

Let's finalize the answer with this query.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?timeZone WHERE {
  wd:Q782 wdt:P421 ?timeZone .
}

The current time in Kauai, Hawaii is in the Pacific/Honolulu time zone. You can check the current time in this time zone using a reliable time source.

[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 current time in kauai hawaii?

[Assistant]
To answer the question about the current time in Kauai, Hawaii, we need to follow these steps:

1. Identify the entity for Kauai, Hawaii.
2. Determine the time zone of Kauai, Hawaii.
3. Retrieve the current time in that time zone.

Let's start by searching for the entity representing Kauai, Hawaii.

[Tool]
Top 10 entity alternatives:
1. Kauai County, also known as Kauai County, Hawaii, Kauai County, HI (wd:Q111517): county in Hawaii, United States
2. Kauaians, also known as Kauai, Hawaii, residents, Kauai inhabitants, Kauai residents (wd:Q114840257): natives or inhabitants of Kauai
3. Hāʻena, also known as Hāʻena, Kauai County, Hawaii, Hāʻena, HI (wd:Q24191782): human settlement in Kauai County, Hawaii, United States of America
4. Mayor of Kauai, also known as Mayor of Kauai County, Hawaii, Mayor of Kauaʻi (wd:Q6797729): political office in the United States
5. 2020 COVID-19 pandemic in Kauai County, Hawaii, also known as 2020 coronavirus outbreak in Kauai County, Hawaii, 2020 COVID pandemic in Kauai County, Hawaii, 2020 Kauai County, Hawaii COVID-19 pandemic, COVID-19 pandemic in Kauai County, Hawaii, Kauai County, Hawaii COVID-19 pandemic (wd:Q94286649): pandemic in Kauai County, Hawaii
6. Scabies epidemiology, Kauai, Hawaii, 1981-1985 (wd:Q68688381): scientific article published on 01 November 1987
7. Communitywide pregnancy reporting in Kauai, Hawaii (wd:Q35948571): scientific article
8. Kauai, Hawaii Tracking Station (NAID 81438948) (wd:Q71193969): item in the National Archives and Records Administration's holdings
9. Keratoacanthoma in Japanese Hawaiians in Kauai, Hawaii (wd:Q71119443): scientific article published on 01 December 1995
10. Marines Assault Kauai, Hawaii (NAID 102045278) (wd:Q67462028): item in the National Archives and Records Administration's holdings

[Assistant]
The most relevant entity for Kauai, Hawaii is `wd:Q111517`, which represents Kauai County, Hawaii. Next, we need to determine the time zone of Kauai, Hawaii. Let's search for the time zone property and see if it is associated with Kauai County.

First, let's search for the time zone property in Wikidata.

[Tool]
Top 10 property alternatives:
1. located in time zone, also known as TZ, time zone, timezone (wd:P421 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): time zone for this item
2. refine date, also known as date refinement, exact time, hour, local time, quarter (wd:P4241 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): qualifier to narrow down the precision of a date not fully specified by the Wikidata time datatype precision field
3. time index, also known as time coordinate, timestamp, temporal coordinate, relative time (wd:P4895 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): indicate when something happens relative to its beginning
4. point in time, also known as at time, as of, year, when, time of event (wd:P585 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
5. term length of position, also known as term length, time in position, term of position, position term, length of term (wd:P2097 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): length of time in years (unit: Q577) a person (usually a politician) is to serve in a particular position. Do not add bounds., duration
6. UTC timezone offset, also known as offset from UTC, UTC offset of timezone (wd:P2907 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): difference between Coordinated Universal Time (UTC) and this timezone, numeric value
7. start time, also known as start date, since, valid, join time, joined (wd:P580 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): time an entity begins to exist or a statement starts being valid, point in time
8. duration, also known as time length, timespan, time span, time interval, runtime (wd:P2047 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): length of time of an event or process
9. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
10. date depicted, also known as depicted date, temporal coverage, shown as at date, depicts date, depicted time (wd:P2913 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): date represented in a work (for narrative works use P2408)

[Assistant]
The most relevant property for time zone is `wd:P421`. Now, let's check if Kauai County has a time zone associated with it using this property.

We will execute a SPARQL query to retrieve the time zone of Kauai County.

[Tool] Got no rows and 1 columns

[Assistant]
It appears that Kauai County does not have a direct time zone property (`wd:P421`) associated with it. However, we can try to find the time zone by looking at the broader region or state of Hawaii, as Kauai is part of the state of Hawaii.

Let's search for the entity representing the state of Hawaii and then check its time zone.

[Tool]
Top 10 entity alternatives:
1. Hawaii, also known as Hawaii State, The Aloha State, State of Hawaii, Kaimana Hila, Hawaii, United States (wd:Q782): state of the United States of America
2. Hawaii, also known as Hawaii State, Hawaii, United States, Kaimana Hila, The Aloha State, State of Hawaii (wd:Q782): state of the United States of America
3. Hawaii State Legislature, also known as Hawaiʻi State Legislature, Hawaii legislature, Hawaii state legislature, HI legislature, HI state legislature (wd:Q5684411): legislative branch of the state government of Hawaii
4. Hawaii State Capitol (wd:Q1290002): state capitol building of the U.S. state of Hawaii
5. Hawaii House of Representatives, also known as Hawaii State House, Hawaii State House of Representatives (wd:Q909676): Lower house of the Hawaii State Legislature
6. Hawaii Senate, also known as Hawaii State Senate (wd:Q1392427): upper house of the Hawaii State Legislature
7. Hawaii State Library, also known as Hawai‘i State Library (wd:Q5684405): public library in Hawaii
8. Hawaii State Open (wd:Q5684407)
9. Hawaii State Hospital (wd:Q109769725): hospital in United States of America
10. Hawaii State Archives (wd:Q29016426)

[Assistant]
The most relevant entity for the state of Hawaii is `wd:Q782`. Now, let's check if this entity has a time zone associated with it using the `wd:P421` property.

We will execute a SPARQL query to retrieve the time zone of the state of Hawaii.

[Tool]
Got 2 rows and 1 column:
| ?timeZone                               |
| --------------------------------------- |
| Pacific/Honolulu (wd:Q28149311)         |
| Hawaii–Aleutian Time Zone (wd:Q3241537) |

[Assistant]
The state of Hawaii has two time zones associated with it:
1. `Pacific/Honolulu` (wd:Q28149311)
2. `Hawaii–Aleutian Time Zone` (wd:Q3241537)

Since Kauai is part of the main Hawaiian Islands, it follows the `Pacific/Honolulu` time zone.

To get the current time in this time zone, we need to use a function to get the current time in the `Pacific/Honolulu` time zone. However, the QLever endpoint does not support such a function directly. Instead, we can provide the time zone information and instruct the user to check the current time in that time zone using a reliable source.

Here is the final SPARQL query and answer:

```sparql
SELECT ?timeZone WHERE { wd:Q782 wdt:P421 ?timeZone . }
```

The current time in Kauai, Hawaii is in the `Pacific/Honolulu` time zone. You can check the current time in this time zone using a reliable time source.

Now, let's finalize the answer.

[Tool] Stopped generation process


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

The language spoken by Egyptians is Arabic.

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

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

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

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

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

[User] what kind of language do egyptian speak?

[Assistant]
To answer the question about the language spoken by Egyptians, we need to identify the relevant entities and properties in the knowledge graph. We will start by searching for the entity "Egyptians" and then look for properties related to the language they speak.

First, let's search for the entity "Egyptians."

[Tool]
Top 10 entity alternatives:
1. Egyptians (wd:L1394516-S1)
2. Egyptians (wd:L35244-F2)
3. Balkan Egyptians, also known as Ashkali (wd:Q805039): ethnic group
4. Italian Egyptians, also known as Italians in Egypt (wd:Q3804351): Italian community in Egypt
5. Egyptians Party (wd:Q406382): political party
6. Egyptians in the United Kingdom, also known as British Egyptians, Egyptian British, Egyptian Britons (wd:Q5348524): Egyptian diaspora in the UK
7. Egyptian Streets, also known as egyptianstreets.com (wd:Q17508275): English Egyptian news organization
8. Memphis Chicks, also known as Memphis Chickasaws, Memphis Turtles, Memphis Chicks (Southern Association), Memphis Egyptians (wd:Q93519238): defunct baseball team in the Southern Association (1901–1960)
9. Cairo Egyptians (wd:Q16850327): Minor League Baseball team
10. Ancient Egyptians (wd:Q4752835): television series

[Assistant]
From the search results, the most relevant entity for "Egyptians" is likely the first one, which is simply "Egyptians" (wd:L1394516-S1). However, it seems to be a label rather than a proper entity. Let's try another search to find a more specific entity representing the Egyptian people.

Let's search for "Egyptian people" to see if we can find a more appropriate entity.

[Tool]
Top 10 entity alternatives:
1. Egyptian People's Volunteer group (wd:Q13142084): An Egyptian voluntary part-time groups for the purpose of home defense in 2011 Revolution
2. An Egyptian Alphabet for the Egyptian People (wd:Q112128447)
3. People in an Egyptian Village Alley (wd:Q119842542): painting by Myrtle Florence Broome (1888–1978), Bushey Museum and Art Gallery
4. human, also known as human being, person, people, nonfictional human, non-fictional human (wd:Q5): any member of Homo sapiens, unique extant species of the genus Homo
5. people, also known as folk, folks, peoples, volk (wd:Q2472587): plurality of persons considered as a whole, from a government perspective
6. Egyptian, also known as Ancient Egyptian, Egyptian language, Egyptian-Coptic, ancient Egyptian language, Egyptian (ancient) (wd:Q50868): extinct language spoken in ancient Egypt
7. People, also known as People Magazine, People Weekly (wd:Q33659): American weekly magazine devoted to celebrity and human-interest
8. The Egyptian, also known as Egyptian (wd:Q1528304): 1954 film by Michael Curtiz
9. culture of Egypt, also known as Egypt culture, Egyptian culture, Egyptian, culture in Egypt (wd:Q2655498): pattern of human activity and symbolism associated with Egypt and its people
10. slab serif typeface genre, also known as egyptian (wd:Q1892715): Thibaudeau classification

[Assistant]
From the search results, the most relevant entity for "Egyptian people" is likely "human" (wd:Q5), but this is too broad. The next most relevant entity is "culture of Egypt" (wd:Q2655498), which might provide information about the language spoken by Egyptians.

Let's check the properties of "culture of Egypt" to see if it has any information about the language spoken by Egyptians.

[Tool]
Top 10 property alternatives:
1. 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)
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. facet of, also known as subitem of, topic of, subtopic of, subject in, section in (wd:P1269 as p/wdt): topic of which this item is an aspect; item that offers a broader perspective on the same topic
4. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
5. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as p/wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
6. Commons category, also known as category on Wikimedia Commons, Wikimedia Commons category, Wikimedia Commons cat, Commons cat, commonscat (wd:P373 as p/wdt): name of the Wikimedia Commons category containing files related to this item (without the prefix "Category:")
7. Quora topic ID, also known as Quora topic identifier, Quora topic name (wd:P3417 as p/wdt): identifier for a topic on Quora (English language version)
8. ASC Leiden Thesaurus ID, also known as African Studies Thesaurus ID, ASCL Thesaurus ID (wd:P5198 as p/wdt): identifier for a topic, in the African Studies Centre (ASC) Leiden's Thesaurus

No other items found

[Assistant]
The search for properties related to "language" for the entity "culture of Egypt" did not yield any relevant results. Let's try a different approach by directly searching for the language spoken by Egyptians.

We can search for the property "language spoken" and then look for the object associated with Egyptians.

Let's search for the property "language spoken" and see if we can find a direct link to the language spoken by Egyptians.

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): language designated as official by this item, language used
2. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): language(s) that a person or a people speaks, writes or signs, including the native language(s)
3. number of speakers, writers, or signers, also known as signers of a language, speakers of language, writers of a language (wd:P1098 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): number of people who use a language
4. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): language widely used (spoken or written) in this place or at this event or organisation
5. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
6. programmed in, also known as language, programming language, written in (wd:P277 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): the programming language(s) in which the software is developed
7. language style, also known as manner, term register, obsolete, register, sense register (wd:P6191 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): to denote of the way a sense of a word is used, e.g., slang, vulgarism, babytalk, colloquialism, etc.
8. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): language or languages a person has learned from early childhood, languages spoken, written or signed
9. Ethnologue language status, also known as EGIDS, language status (wd:P3823 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): language status identifier by Ethnologue.com using EGIDS scale
10. population by native language, also known as native language population (wd:P12712 as pqv/psv/wdt/pq/psn/p/pqn/prn/ps/wdtn/prv/pr): native language population of a place, population

[Assistant]
From the search results, the most relevant property for "language spoken" is "languages spoken, written or signed" (wd:P1412). This property can be used to find the language spoken by a specific group of people.

Let's now search for the entity "Egyptians" again and use the property "languages spoken, written or signed" (wd:P1412) to find the language spoken by Egyptians.

Let's search for the entity "Egyptians" and then use the property "languages spoken, written or signed" to find the language.

[Tool]
Top 10 entity alternatives:
1. Egyptians (wd:L1394516-S1)
2. Egyptians (wd:L35244-F2)
3. Balkan Egyptians, also known as Ashkali (wd:Q805039): ethnic group
4. Italian Egyptians, also known as Italians in Egypt (wd:Q3804351): Italian community in Egypt
5. Egyptians Party (wd:Q406382): political party
6. Egyptians in the United Kingdom, also known as British Egyptians, Egyptian British, Egyptian Britons (wd:Q5348524): Egyptian diaspora in the UK
7. Egyptian Streets, also known as egyptianstreets.com (wd:Q17508275): English Egyptian news organization
8. Memphis Chicks, also known as Memphis Chickasaws, Memphis Turtles, Memphis Chicks (Southern Association), Memphis Egyptians (wd:Q93519238): defunct baseball team in the Southern Association (1901–1960)
9. Cairo Egyptians (wd:Q16850327): Minor League Baseball team
10. Ancient Egyptians (wd:Q4752835): television series

[Assistant]
From the search results, the most relevant entity for "Egyptians" is likely the first one, which is simply "Egyptians" (wd:L1394516-S1). However, it seems to be a label rather than a proper entity. Let's try another search to find a more specific entity representing the Egyptian people.

Let's search for "Egyptian people" again to see if we can find a more appropriate entity.

[Tool]
Top 10 entity alternatives:
1. Egyptian People's Volunteer group (wd:Q13142084): An Egyptian voluntary part-time groups for the purpose of home defense in 2011 Revolution
2. An Egyptian Alphabet for the Egyptian People (wd:Q112128447)
3. People in an Egyptian Village Alley (wd:Q119842542): painting by Myrtle Florence Broome (1888–1978), Bushey Museum and Art Gallery
4. human, also known as human being, person, people, nonfictional human, non-fictional human (wd:Q5): any member of Homo sapiens, unique extant species of the genus Homo
5. people, also known as folk, folks, peoples, volk (wd:Q2472587): plurality of persons considered as a whole, from a government perspective
6. Egyptian, also known as Ancient Egyptian, Egyptian language, Egyptian-Coptic, ancient Egyptian language, Egyptian (ancient) (wd:Q50868): extinct language spoken in ancient Egypt
7. People, also known as People Magazine, People Weekly (wd:Q33659): American weekly magazine devoted to celebrity and human-interest
8. The Egyptian, also known as Egyptian (wd:Q1528304): 1954 film by Michael Curtiz
9. culture of Egypt, also known as Egypt culture, Egyptian culture, Egyptian, culture in Egypt (wd:Q2655498): pattern of human activity and symbolism associated with Egypt and its people
10. slab serif typeface genre, also known as egyptian (wd:Q1892715): Thibaudeau classification

[Assistant]
From the search results, the most relevant entity for "Egyptian people" is still not clearly identified. However, we can try using the entity "human" (wd:Q5) and filter it by the country "Egypt" to find the language spoken by Egyptians.

Let's use the property "country" (wd:P17) to filter humans by Egypt and then use the property "languages spoken, written or signed" (wd:P1412) to find the language spoken by Egyptians.

We will construct a SPARQL query to achieve this.

[Tool] Got no rows and 1 columns

[Assistant]
The initial query did not return any results, which suggests that the approach of filtering humans by country and then finding their spoken language might not be the most effective. Instead, let's try a different approach by directly looking for the language spoken in Egypt.

We can search for the entity "Egypt" and then use the property "official language" (wd:P37) to find the language spoken in Egypt.

Let's search for the entity "Egypt" and then use the property "official language" to find the language spoken in Egypt.

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

[Assistant]
From the search results, the most relevant entity for "Egypt" is "Egypt" (wd:Q79), which represents the country in Northeast Africa and Southwest Asia.

Now, let's use the property "official language" (wd:P37) to find the language spoken in Egypt.

Let's construct a SPARQL query to find the official language of Egypt.

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

[Assistant]
The SPARQL query returned that the official language of Egypt is Arabic (wd:Q13955).

Therefore, the language spoken by Egyptians is Arabic.

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

[Tool] Stopped generation process