PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?movie WHERE {
  ?movie wdt:P31 wd:Q11424 ; wdt:P161 wd:Q36767 .
}

Got 35 rows and 1 column, showing the first 5 and last 5 rows below:
| movie                                                  |
| ------------------------------------------------------ |
| Harry Potter and the Goblet of Fire (wd:Q102225)       |
| Harry Potter and the Order of the Phoenix (wd:Q102235) |
| Vanity Fair (wd:Q1046841)                              |
| The Batman: Part II (wd:Q111187129)                    |
| Mickey 17 (wd:Q112977213)                              |
| ...                                                    |
| The Batman (wd:Q61117344)                              |
| The Devil All the Time (wd:Q61927376)                  |
| Remember Me (wd:Q632680)                               |
| Tenet (wd:Q63985561)                                   |
| Cosmopolis (wd:Q737055)                                |

Robert Pattinson has acted in the following movies (examples): Harry Potter and the Goblet of Fire, Harry Potter and the Order of the Phoenix, Vanity Fair, The Batman: Part II, Mickey 17, The Batman, The Devil All the Time, Remember Me, Tenet, Cosmopolis, and more. The query returns the full list of movie IRIs.

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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

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

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

[User] what movies have robert pattinson in them?

[Assistant]
Let's break down the question:

1. We need to identify the entity for "Robert Pattinson".
2. We need to find the property that links an actor to movies they have acted in.
3. We need to construct a query that finds all movies where Robert Pattinson is an actor.

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

[Tool]
Top 10 entity alternatives:
1. Robert Pattinson, also known as Robert Douglas Thomas Pattinson (wd:Q36767): British actor and model, television actor, film producer, stage actor, film actor, composer, singer, actor, model
2. Robert Pattinson, also known as Sir Robert Pattinson (wd:Q7528828): British politician (1872-1954), politician
3. Robert Kyle Pattinson (wd:Q76133988): Peerage person ID=554665
4. Robert Clive Pattinson (wd:Q79322762): gynecologist
5. Sir Robert Pattinson Academy (wd:Q15277935): school in Lincolnshire, UK
6. Sir Robert Pattinson Academy (wd:Q122684378): single academy trust
7. Robert Pattinson and Dracula are distant relatives (wd:Q17707978): Wikinews article
8. Robert, also known as Robert of Clermont (wd:Q266309): Count of Clermont-en-Beauvaisis
9. Robert (wd:Q4927937): male given name
10. Prince Robert, Duke of Chartres, also known as Robert (wd:Q502885): Union Army soldier (1840–1910), military personnel

[Assistant]
The most relevant entity for "Robert Pattinson" the actor is wd:Q36767.

Next, I need to find the property that links an actor to the movies they have acted in. I'll search for properties related to "actor" or "cast member".

[Tool]
Top 10 property alternatives:
1. cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
2. agent of action, also known as being done by, initiator, initiated by, done by, doer (wd:P12995 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): particular item that initiates this action or class of actions
3. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject
4. agents of action have role, also known as actors have role, agent has role, agent of action has role, agents have role, done by agent(s) with role (wd:P12993 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): role that agents of this action take on in the context of this action
5. used by, also known as armiger, user, played by, of (wd:P1535 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): item or concept that makes use of the subject (use sub-properties when appropriate)
6. depicted by, also known as acted by, shown in, seen in, portrayed by, played by (wd:P1299 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): object depicting this subject (object being creative works such as books, films, paintings)
7. character role, also known as role, plays, performer of, as, acting role (wd:P453 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): specific role played or filled by subject -- use only as qualifier of "cast member" (P161), "voice actor" (P725)
8. describes actor of (wd:P12027 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): predicate sense whose actor (an agent or a cause—basically the instigator of an action) is denoted by this sense
9. notable role, also known as notable character role, notable for character role, notable for role (wd:P10606 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): role in a theatrical, motion picture, television, or other work that a performer is particularly known for, notable work
10. film crew member (wd:P3092 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): member of the crew creating an audiovisual work, used for miscel... available: notably for cast member (P161), director (P57), etc., significant person

[Assistant]
The property "cast member" (wdt:P161) is used to link a movie to its actors. To find all movies that have Robert Pattinson as a cast member, I need to find all entities where wdt:P161 is wd:Q36767.

Now, I need to ensure that the results are movies. I'll search for the entity for "film" to use as a type constraint.

[Tool]
Top 10 entity alternatives:
1. film, also known as cinematic work, moving picture, movie, motion pictures, motion picture (wd:Q11424): sequence of images that give the impression of movement, stored on film stock
2. photographic film, also known as camera film, film, photo film (wd:Q6293): sheet of plastic coated with light-sensitive chemicals
3. film studies, also known as cinema studies, film, movie studies (wd:Q1660187): academic discipline that deals with various theoretical, historical, and critical approaches to films
4. thin film, also known as film, films, nanofilm, pellicle, thin layer (wd:Q1137203): a layer of material ranging from fractions of a nanometer to several micrometers in thickness
5. motion picture film, also known as moving-picture film, movie film, cinematographic film, film (wd:Q110968856): type of photographic film for motion pictures
6. /Film, also known as SlashFilm, slashfilm.com (wd:Q573998): film blog
7. Everybody's Talking About Jamie, also known as film (wd:Q65050923): 2021 film directed by Jonathan Butterell
8. plastic foil, also known as Film, plastic film, Plastic film, plastic films (wd:Q1736298): thin continuous polymeric material
9. Film (wd:Q1414297): 1965 short film directed by Alan Schneider
10. Film, Film, Film, also known as Фильм, фильм, фильм (wd:Q4484382): 1968 animated short film by Fyodor Khitruk

[Assistant]
The entity for "film" (movie) is wd:Q11424. I will use this as a constraint to ensure that only movies are returned.

Now, I will construct a SPARQL query to find all entities that:
- are instances of "film" (wd:Q11424)
- have Robert Pattinson (wd:Q36767) as a cast member (wdt:P161)

I will also optionally return the label of the movie for readability.

[Tool]
Got 35 rows and 2 columns, showing the first 5 and last 5 rows below:
| movie                                                  | movieLabel                                     |
| ------------------------------------------------------ | ---------------------------------------------- |
| Harry Potter and the Goblet of Fire (wd:Q102225)       | Harry Potter and the Goblet of Fire (en)       |
| Harry Potter and the Order of the Phoenix (wd:Q102235) | Harry Potter and the Order of the Phoenix (en) |
| Vanity Fair (wd:Q1046841)                              | Vanity Fair (en)                               |
| The Batman: Part II (wd:Q111187129)                    | The Batman: Part II (en)                       |
| Mickey 17 (wd:Q112977213)                              | Mickey 17 (en)                                 |
| ...                                                    | ...                                            |
| The Batman (wd:Q61117344)                              | The Batman (en)                                |
| The Devil All the Time (wd:Q61927376)                  | The Devil All the Time (en)                    |
| Remember Me (wd:Q632680)                               | Remember Me (en)                               |
| Tenet (wd:Q63985561)                                   | Tenet (en)                                     |
| Cosmopolis (wd:Q737055)                                | Cosmopolis (en)                                |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query is correct and follows all the required rules. It returns the IRIs of all movies (wd:Q11424) where Robert Pattinson (wd:Q36767) is a cast member (wdt:P161). The answer is accurate and complete for the question asked.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?language WHERE {
  wd:Q889 wdt:P37 ?language
}

After multiple approaches, including querying for languages spoken in Afghanistan and their number of speakers, it is clear that Wikidata does not contain structured data specifying the most widely spoken language in Afghanistan or the number of speakers for each language within Afghanistan. The only available structured data are the official languages, which do not indicate prevalence. Therefore, it is not possible to answer the user's question with a SPARQL query using current Wikidata data.

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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

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

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

[User] what language do most people speak in afghanistan?

[Assistant]
Let's break down the question:

1. We need to identify the entity for "Afghanistan".
2. We need to find the property that links a country to its most spoken language (likely "official language", "language spoken", or "most spoken language").
3. We need to determine which language is spoken by the most people in Afghanistan.

First, I'll search for the entity "Afghanistan" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Afghanistan, also known as Afghaunistaun, Afghaunistan, Afghanisthan, Affghaunistan, Afghania (wd:Q889): country in Central and South Asia
2. Afghanistan, also known as Affghanistan, Affghanisthan, Afghaunistaun, Affghaunistan, Afghania (wd:Q889): country in Central and South Asia
3. Kingdom of Afghanistan, also known as Afghanistan, Afghan Kingdom (wd:Q1138904): kingdom in Central Asia between 1926–1973
4. Afghanistan (wd:Q50172288): scientific article published in May 1983
5. Afghanistan (wd:Q47409831): scientific article published in July 1986
6. Afghanistan (wd:Q27715795): journal
7. Afghanistan (wd:Q124440154): journal article from 'Ethnohistory' published in 1973
8. Afghanistan (wd:Q119628112): painting by James Hart Dyke (b.1966), The Black Watch Castle & Museum
9. Afghanistan (wd:Q119441439): painting by Wilhelmina Barns-Graham (1912–2004), Wilhelmina Barns-Graham Trust
10. Afghanistan (wd:Q103889244): encyclopedia article

[Assistant]
The correct entity for Afghanistan as a country is wd:Q889.

Next, I need to find the property that links a country to the language most people speak. This could be "official language", "language spoken", or a property specifically for "most spoken language". I'll search for properties related to "language spoken" for countries.

[Tool]
Top 10 property alternatives:
1. 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
2. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as p/wdt): language widely used (spoken or written) in this place or at this event or organisation
3. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
4. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as p/wdt): label for the items in their official language  or their original language, name
5. 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
6. 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)
7. 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
8. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
9. Libraries Australia ID, also known as CNLKIN, NLA Kinetica Service identifier, NLA (Australia) identifier, NLA (Australia) ID, Libraries Australia identifier (wd:P409 as p/wdt): identifier issued by the National Library of Australia (see also...F component. Format: 1-12 digits, removing leading zero-padding.
10. Unicode character, also known as emoji, emote, pictograph, Unicode symbol (wd:P487 as p/wdt): Unicode character representing the item (only if this is not a c...acter or a compatiblity character: in that case, use only P4213)

No other items found

[Assistant]
The most relevant properties are:
- official language (wdt:P37)
- language used (wdt:P2936)

However, neither property is specifically for "most spoken language". Usually, "official language" is the closest proxy for the language most people speak in a country, especially if there is only one or two official languages. To be thorough, I'll check both properties for Afghanistan.

First, I'll list the values for "official language" (wdt:P37) for Afghanistan (wd:Q889).

[Tool]
Got 9 rows and 3 columns:
| subject               | property                    | object                 |
| --------------------- | --------------------------- | ---------------------- |
| Afghanistan (wd:Q889) | official language (wdt:P37) | Arabic (wd:Q13955)     |
| Afghanistan (wd:Q889) | official language (wdt:P37) | Pashto (wd:Q58680)     |
| Afghanistan (wd:Q889) | official language (wdt:P37) | Uzbek (wd:Q9264)       |
| Afghanistan (wd:Q889) | official language (wdt:P37) | Turkmen (wd:Q9267)     |
| Afghanistan (wd:Q889) | official language (wdt:P37) | Dari (wd:Q178440)      |
| Afghanistan (wd:Q889) | official language (wdt:P37) | Balochi (wd:Q33049)    |
| Afghanistan (wd:Q889) | official language (wdt:P37) | Nuristani (wd:Q161804) |
| Afghanistan (wd:Q889) | official language (wdt:P37) | Pamir (wd:Q1772864)    |
| Afghanistan (wd:Q889) | official language (wdt:P37) | Pashayi (wd:Q36670)    |

[Assistant]
Afghanistan has multiple official languages: Arabic, Pashto, Uzbek, Turkmen, Dari, Balochi, Nuristani, Pamir, and Pashayi. However, the user asked for the language most people speak, not just official languages.

To refine the answer, I'll check the "language used" (wdt:P2936) property for Afghanistan, which may indicate the most widely spoken language.

[Tool]
Got 37 rows and 3 columns, showing the first 10 rows below:
| subject               | property                  | object                |
| --------------------- | ------------------------- | --------------------- |
| Afghanistan (wd:Q889) | language used (wdt:P2936) | Turkmen (wd:Q9267)    |
| Afghanistan (wd:Q889) | language used (wdt:P2936) | Dari (wd:Q178440)     |
| Afghanistan (wd:Q889) | language used (wdt:P2936) | Brahui (wd:Q33202)    |
| Afghanistan (wd:Q889) | language used (wdt:P2936) | Wakhi (wd:Q34208)     |
| Afghanistan (wd:Q889) | language used (wdt:P2936) | Shughni (wd:Q34053)   |
| Afghanistan (wd:Q889) | language used (wdt:P2936) | Moghol (wd:Q13336)    |
| Afghanistan (wd:Q889) | language used (wdt:P2936) | Hazaragi (wd:Q33398)  |
| Afghanistan (wd:Q889) | language used (wdt:P2936) | Ashkun (wd:Q29379)    |
| Afghanistan (wd:Q889) | language used (wdt:P2936) | Munji (wd:Q33639)     |
| Afghanistan (wd:Q889) | language used (wdt:P2936) | Parachi (wd:Q2640637) |
| ...                   | ...                       | ...                   |

[Assistant]
The "language used" property lists many languages spoken in Afghanistan, but does not indicate which is spoken by the most people.

To answer the user's question precisely, I need to find a property or qualifier that indicates the number of speakers or the "most spoken language" for a country. I'll search for properties related to "most spoken language" or "number of speakers".

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

[Assistant] The property "population by native language" (wd:P12712) seems most relevant for finding the most spoken language in Afghanistan. I will list the values for this property for Afghanistan to see which language has the highest population.

[Tool] Got no rows and 3 columns

[Assistant]
There are no direct statements for "population by native language" (wdt:P12712) for Afghanistan in Wikidata.

Given this, the best available proxy is the "official language" property, as it is commonly used to represent the main languages spoken in a country. Among Afghanistan's official languages, Dari (Persian) and Pashto are widely recognized as the two most spoken languages, with Dari generally considered the most widely spoken as a lingua franca.

To provide a precise SPARQL query, I will return all official languages of Afghanistan, as Wikidata does not specify which is spoken by the most people.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves all official languages of Afghanistan, but it does not answer the user's question about which language is spoken by the majority of people (i.e., the most widely spoken language). The query only lists official languages, not their prevalence or number of speakers. To improve, the query should attempt to find the language with the highest number of speakers in Afghanistan, possibly by using properties like 'number of speakers' (P1098) or 'languages spoken or written' (P1412) with qualifiers or references to Afghanistan. If such data is not available, the answer should clarify this limitation.

[Assistant]
Thank you for the feedback. I understand that the user is specifically asking for the language spoken by the majority of people in Afghanistan, not just the official languages. The ideal approach is to find the language with the highest number of speakers in Afghanistan using properties like "number of speakers" (P1098) or "population by native language" (P12712), possibly qualified by location (Afghanistan).

Since previous attempts showed no direct "population by native language" data for Afghanistan, I'll now check if any language entities have a "number of speakers" (P1098) statement with Afghanistan as the location. This would allow us to identify which language has the highest number of speakers in Afghanistan.

I'll search for uses of "number of speakers" (P1098) where Afghanistan (wd:Q889) is the location qualifier.

[Tool] Got no rows and 3 columns

[Assistant]
There are no direct statements in Wikidata linking "number of speakers" (P1098) to Afghanistan as a location. This means Wikidata does not have structured data specifying the number of speakers of each language in Afghanistan.

To be thorough, I'll check if the property "languages spoken, written or signed" (P1412) is used for Afghanistan or its population, possibly with qualifiers indicating prevalence or number of speakers.

[Tool] Got no rows and 3 columns

[Assistant]
There are no statements for "languages spoken, written or signed" (wdt:P1412) for Afghanistan either.

Given these results, I can conclude that Wikidata does not contain structured data specifying which language is spoken by the majority of people in Afghanistan or the number of speakers for each language within Afghanistan. The closest available data are the official languages, but this does not answer the user's question about the most widely spoken language.

I will clarify this limitation in my answer and provide the best possible SPARQL query that attempts to answer the question, while noting the data gap.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The explanation is correct that the current query only retrieves the official languages of Afghanistan, not the most widely spoken language. However, the system should attempt to refine its approach. While Wikidata may not have a direct property for 'most spoken language', it may have population or speaker statistics for individual languages, or statements about the 'native language' (P103) of notable people from Afghanistan. The system could attempt to query for languages spoken in Afghanistan (using 'language spoken in' (P2936)), and then order by number of speakers (P1098) or similar properties, if available. If no such data exists, the system should explicitly state that after attempting these approaches.

[Assistant]
Thank you for the detailed feedback. I will now attempt a more refined approach:

1. I will query for all languages spoken in Afghanistan using the "language spoken in" (P2936) property.
2. For each language, I will try to retrieve the "number of speakers" (P1098) property, ideally qualified by Afghanistan as the location.
3. If such data exists, I will order the results by the number of speakers in descending order to find the most widely spoken language.
4. If no such data exists, I will explicitly state this after attempting the query.

Let's start by finding all languages spoken in Afghanistan (using P2936), and see if any of them have a "number of speakers" (P1098) statement.

[Tool] Got no rows and 3 columns

[Assistant]
It appears that there are no statements in Wikidata using "language spoken in" (P2936) with Afghanistan (wd:Q889) as the object. This means we cannot directly retrieve languages spoken in Afghanistan using this property.

As an alternative, I will try the reverse: list all languages (subjects) that use "language spoken in" (P2936) with Afghanistan as the object. This will help us identify which languages are linked to Afghanistan as a spoken location.

[Tool] Got no rows and 3 columns

[Assistant]
There are still no results for languages with "language spoken in" (P2936) pointing to Afghanistan in Wikidata. This confirms that Wikidata does not use this property to link languages to Afghanistan in its current data.

As a final attempt, I will query for all languages that have a "number of speakers" (P1098) statement, and see if any of these statements are qualified by Afghanistan as the location. If so, I will order them by the number of speakers to find the most widely spoken language in Afghanistan.

[Tool] Got no rows and 2 columns

[Assistant]
There are no languages in Wikidata that have both a "number of speakers" (P1098) statement and are linked to Afghanistan via "language spoken in" (P2936).

Given these repeated attempts, I can now definitively state that Wikidata does not contain structured data specifying the most widely spoken language in Afghanistan or the number of speakers for each language within Afghanistan. The only available structured data are the official languages, which do not indicate prevalence.

I will now provide this explanation and the best possible query attempt.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?placeOfBirth ?placeOfBirthLabel WHERE {
  wd:Q11578 wdt:P19 ?placeOfBirth .
  OPTIONAL {
    ?placeOfBirth rdfs:label ?placeOfBirthLabel .
    FILTER ( lang( ?placeOfBirthLabel ) = "en" )
  }
}

Got 1 row and 2 columns:
| placeOfBirth         | placeOfBirthLabel |
| -------------------- | ----------------- |
| Lynwood (wd:Q849619) | Lynwood (en)      |

Venus Williams was born in Lynwood (wd:Q849619).

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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

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

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

[User] where did venus williams come from?

[Assistant]
Let's break down the question:

1. The user is asking about the origin of Venus Williams, which typically refers to her place of birth.
2. First, I need to identify the entity for Venus Williams in Wikidata.
3. Then, I need to find the property related to "place of birth."
4. Finally, I will construct a SPARQL query to retrieve the place of birth for Venus Williams.

Let's start by searching for the entity "Venus Williams" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Venus Williams, also known as Venus Ebony Starr Williams (wd:Q11578): American tennis player (born 1980), tennis player, entrepreneur, writer
2. B. Venus Williams (wd:Q102291516): Ph.D. Dartmouth College 2005
3. Williams sisters, also known as Venus and Serena Williams (wd:Q1180052): doubles partnership between Venus and Serena Williams
4. Venus Williams career statistics (wd:Q7920613)
5. 2014 Venus Williams tennis season (wd:Q16960857)
6. Venus Williams at 2009 US Open (wd:Q124025673)
7. Venus Williams at the 2013 US Open (wd:Q124025332)
8. Venus, also known as Planet Venus, Sol II, Sol 2, ♀ (wd:Q313): planet second-closest to the Sun in the Solar System
9. Venus, also known as ♀, Planet Venus, Sol 2, Sol II (wd:Q313): planet second-closest to the Sun in the Solar System
10. Venus (wd:Q47652): Roman goddess of love, sexuality, procreation and pleasure

[Assistant]
The correct entity for Venus Williams, the American tennis player, is wd:Q11578.

Next, I need to find the property in Wikidata that represents "place of birth." I will search for the property "place of birth."

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

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

Now, I will construct a SPARQL query to retrieve the place of birth (wd:P19) for Venus Williams (wd:Q11578). I will also try to get the label of the place for better readability, but the main result will be the IRI.

Here is the query I will use:
```sparql
SELECT ?placeOfBirth ?placeOfBirthLabel WHERE {
  wd:Q11578 wdt:P19 ?placeOfBirth .
  OPTIONAL { ?placeOfBirth rdfs:label ?placeOfBirthLabel . FILTER (lang(?placeOfBirthLabel) = "en") }
}
```
Now, I will execute this query.

[Tool]
Got 1 row and 2 columns:
| placeOfBirth         | placeOfBirthLabel |
| -------------------- | ----------------- |
| Lynwood (wd:Q849619) | Lynwood (en)      |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the place of birth (Lynwood) for Venus Williams using her Wikidata identifier and the property for place of birth. The query also optionally retrieves the English label for the place. The answer is accurate and complete for the question asked. No further refinement is necessary.


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

Got 3 rows and 2 columns:
| formOfGovernment                    | formOfGovernmentLabel        |
| ----------------------------------- | ---------------------------- |
| parliamentary system (wd:Q166747)   | parliamentary system (en)    |
| constitutional monarchy (wd:Q41614) | constitutional monarchy (en) |
| federation (wd:Q43702)              | federation (en)              |

Canada's forms of government are: parliamentary system, constitutional monarchy, and federation.

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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

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

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

[User] what form of government does canada?

[Assistant]
Let's break down the question:

1. The user is asking about the "form of government" of "Canada".
2. I need to identify the entity for "Canada" and the property for "form of government" in Wikidata.

First, I'll search for the entity "Canada" in Wikidata.

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

[Assistant]
The most relevant entity for "Canada" as a country is wd:Q16.

Next, I need to identify the property for "form of government". I'll search for properties related to "form of government" in Wikidata.

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

[Assistant]
The property "basic form of government" (wd:P122) is the most relevant for "form of government".

Now, I will construct a SPARQL query to retrieve the form(s) of government for Canada (wd:Q16) using the property "basic form of government" (wdt:P122). I will also try to get the label for the form of government for better readability, but will keep it optional as per the instructions.

[Tool]
Got 3 rows and 2 columns:
| formOfGovernment                    | formOfGovernmentLabel        |
| ----------------------------------- | ---------------------------- |
| parliamentary system (wd:Q166747)   | parliamentary system (en)    |
| constitutional monarchy (wd:Q41614) | constitutional monarchy (en) |
| federation (wd:Q43702)              | federation (en)              |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the forms of government for Canada by querying the appropriate property (wdt:P122) and returns the IRIs as required. The answer is accurate and complete, and the query follows all the specified rules. No further refinement is needed.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?type ?item ?itemLabel WHERE {
  {
    wd:Q193637 wdt:P106 ?item .
    BIND( "occupation" AS ?type )
  } UNION {
    wd:Q193637 wdt:P54 ?item .
    BIND( "team" AS ?type )
  } UNION {
    wd:Q193637 wdt:P166 ?item .
    BIND( "award" AS ?type )
  }
  OPTIONAL {
    ?item rdfs:label ?itemLabel FILTER ( lang( ?itemLabel ) = "en" )
  }
}

Got 12 rows and 3 columns, showing the first 5 and last 5 rows below:
| type       | item                                                                 | itemLabel                                                     |
| ---------- | -------------------------------------------------------------------- | ------------------------------------------------------------- |
| team       | Chicago Bulls (wd:Q128109)                                           | Chicago Bulls (en)                                            |
| team       | Torpan Pojat (wd:Q14622334)                                          | Torpan Pojat (en)                                             |
| award      | NBA All-Defensive Team (wd:Q1465181)                                 | NBA All-Defensive Team (en)                                   |
| team       | Houston Rockets (wd:Q161345)                                         | Houston Rockets (en)                                          |
| team       | Portland Trail Blazers (wd:Q167253)                                  | Portland Trail Blazers (en)                                   |
| ...        | ...                                                                  | ...                                                           |
| team       | Sundsvall Dragons (wd:Q2405952)                                      | Sundsvall Dragons (en)                                        |
| award      | NBA All-Star Game Kobe Bryant Most Valuable Player Award (wd:Q31391) | NBA All-Star Game Kobe Bryant Most Valuable Player Award (en) |
| occupation | actor (wd:Q33999)                                                    | actor (en)                                                    |
| occupation | basketball player (wd:Q3665646)                                      | basketball player (en)                                        |
| award      | All-NBA Team (wd:Q674359)                                            | All-NBA Team (en)                                             |

Scottie Pippen is best known for being a basketball player, especially for the Chicago Bulls, and for receiving major NBA honors such as the NBA All-Star Game MVP, All-NBA Team, and NBA All-Defensive Team awards.

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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

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

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

[User] what was scottie pippen known for?

[Assistant]
Let's break down the question:

1. The user is asking what Scottie Pippen was "known for". This typically refers to his notable occupations, achievements, or roles.
2. First, I need to identify the entity for Scottie Pippen in Wikidata.
3. Then, I should look for properties related to "known for", such as occupation, notable work, or significant event.
4. I will search for Scottie Pippen's entity first.

Let's proceed step by step.

Step 1: Search for the entity "Scottie Pippen" in Wikidata.

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

[Assistant]
The most relevant entity for Scottie Pippen is wd:Q193637.

Next, I need to find properties related to what he is "known for". This could include occupation, notable work, significant event, or "known for" property if it exists.

I'll search for properties related to "known for" in Wikidata.

[Tool]
Top 10 property alternatives:
1. significant event, also known as significant occurrence, significant incident, significant achievment, sign. event, outcome (wd:P793 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): significant or notable events associated with the subject
2. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): notable scientific, artistic or literary work, or other work of significance among subject's works
3. title, also known as name, titled, page name, original title, known as (wd:P1476 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
4. name, also known as also known as, referred to as, label, known as, be known as (wd:P2561 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): name the subject is known by; preferably use a more specific subproperty if available
5. floruit, also known as work period, living, known alive in, flourished, fl. (wd:P1317 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): date when the person was known to be active or alive, when birth or death not documented
6. significant person, also known as significant people, sigper, sign. person, relevant person, relevant people (wd:P3342 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): person linked to the item in any possible way
7. notable role, also known as notable character role, notable for character role, notable for role (wd:P10606 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): role in a theatrical, motion picture, television, or other work that a performer is particularly known for, notable work
8. pseudonym, also known as nom de plume, nom-de-plume, nome de guerre, pen name, ring name (wd:P742 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): alias used by someone (for nickname use P1449), name
9. alternative name, also known as also known as, variant term, variant name, variant heading, variant form (wd:P4970 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): qualifier for alternative name(s), given for a subject in a data...rved in references (even these are no longer the preferred name)
10. nickname, also known as informal name, moniker, other name, othername, other_names (wd:P1449 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): informal name (for a pseudonym use P742), name

[Assistant]
The most relevant properties for what Scottie Pippen was "known for" are:
- significant event (wd:P793)
- notable work (wd:P800)
- notable role (wd:P10606)
- occupation (not listed above, but commonly used for "known for" queries)

Since Scottie Pippen is primarily known as a basketball player, occupation is likely relevant. I'll also check for significant events, notable works, and notable roles associated with him.

Next, I'll search for Scottie Pippen's occupations and then check for significant events, notable works, and notable roles. I'll start by listing all properties for Scottie Pippen to see which of these are present.

[Tool]
Got 521 rows and 3 columns, showing the first 10 rows below:
| subject                     | property                         | object                                                                                |
| --------------------------- | -------------------------------- | -------------------------------------------------------------------------------------------------- |
| Scottie Pippen (wd:Q193637) | instance of (wdt:P31)            | human (wd:Q5)                                                                                |
| Scottie Pippen (wd:Q193637) | occupation (wdt:P106)            | actor (wd:Q33999)                                                                                |
| Scottie Pippen (wd:Q193637) | sex or gender (wdt:P21)          | male (wd:Q6581097)                                                                                |
| Scottie Pippen (wd:Q193637) | given name (wdt:P735)            | Maurice (wd:Q1472321)                                                                              |
| Scottie Pippen (wd:Q193637) | date of birth (wdt:P569)         | 1965-09-25T00:00:00Z (xsd:dateTime)                                                                |
| Scottie Pippen (wd:Q193637) | Commons category (wdt:P373)      | Scottie Pippen                                                                                |
| Scottie Pippen (wd:Q193637) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Scottie%20Pippen%205-2-22%20%28cropped%29.jpg> |
| Scottie Pippen (wd:Q193637) | country of citizenship (wdt:P27) | United States (wd:Q30)                                                                             |
| Scottie Pippen (wd:Q193637) | family name (wdt:P734)           | Pippen (wd:Q7197481)                                                                               |
| Scottie Pippen (wd:Q193637) | place of birth (wdt:P19)         | Hamburg (wd:Q79657)                                                                                |
| ...                         | ...                              | ...                                                                                |

[Tool]
Got 2 rows and 3 columns:
| subject                     | property              | object                          |
| --------------------------- | --------------------- | ------------------------------- |
| Scottie Pippen (wd:Q193637) | occupation (wdt:P106) | actor (wd:Q33999)               |
| Scottie Pippen (wd:Q193637) | occupation (wdt:P106) | basketball player (wd:Q3665646) |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Assistant]
Based on the data:
- Scottie Pippen's occupations are "basketball player" (wd:Q3665646) and "actor" (wd:Q33999).
- There are no entries for significant events, notable works, or notable roles directly attached to him in Wikidata.

Therefore, the best answer to "what was Scottie Pippen known for?" according to Wikidata is his occupations, especially as a basketball player.

I will now construct a SPARQL query that returns Scottie Pippen's occupations (with optional labels for human readability).

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The answer correctly identifies Scottie Pippen's occupations as a basketball player and actor, which are the main things he is known for according to Wikidata. However, the query only retrieves his occupations, which may not fully capture what he is most famous for (e.g., his achievements, teams played for, or specific contributions to basketball). For a more comprehensive answer, consider expanding the query to include notable achievements, teams, or awards, as these are often what someone is 'known for.' The current answer is accurate but could be more informative.

[Assistant]
Thank you for the feedback. To provide a more comprehensive answer to what Scottie Pippen was "known for," I should include not only his occupations but also his notable achievements, teams played for, and awards.

Here's my step-by-step plan:
1. Identify properties for teams played for, awards received, and any other notable achievements.
2. Check which of these properties are present for Scottie Pippen in Wikidata.
3. Construct a query that retrieves his occupations, teams, and awards (with optional labels for clarity).

Step 1: Search for properties related to "team," "award," and "achievement."

[Tool]
Top 10 property alternatives:
1. member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): sports teams or clubs that the subject represents or represented, member of
2. represents, also known as represents organisation, stands for, symbolises, symbolizes, team for (wd:P1268 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): organization, individual, or concept that an entity represents
3. participating team, also known as teams (wd:P1923 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): like 'Participant' (P710) but for teams. For an event like a cyc...member of sports team' (P54) as a qualifier for the individuals), participant
4. employees, also known as workers, staff, personnel, number of employees, employee count (wd:P1128 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): total number of employees of a company at a given "point in time...not deprecated rank). Add data for recent years, don't overwrite
5. supported sports team, also known as Fan of sports team, team supported, Supports sports team, Sports team supported, is a fan of team (wd:P6758 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): sports team for which a person or a group is a supporter
6. partner in business or sport, also known as professional partner, sport partner, sports partner, team mate, team-mate (wd:P1327 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): professional collaborator, significant person
7. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
8. category for members of a team, also known as category for players, category for team members (wd:P6112 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): Wikimedia category for players playing for a sports team, topic's main category
9. position played on team / speciality, also known as position (on team), speciality, specialism, position, player position (wd:P413 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): position or specialism of a player on a team
10. backup or reserve team or crew, also known as backup crew, backup team, reserve crew, reserve team (wd:P3015 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): team or crew that is kept ready to act as reserve

[Tool]
Top 10 property alternatives:
1. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): award or recognition received by a person, organization or creative work
2. conferred by, also known as presented by, officiated by, issued by, granted by, given by (wd:P1027 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): person or organization who grants an award, certification, grant, or role
3. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): winner of a competition or similar event, not to be used for awa...ssibly qualified with "for work" (P1686)) or for wars or battles, participating team, participant
4. grants, also known as awards, bestows, confers, gives out (wd:P5460 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): confers degree, honor, award, prize, title, certificate or medal denoting achievement to a person or organization
5. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
6. for work, also known as awarded for work, citation for award, for their work on, nominated for work (wd:P1686 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): qualifier of award received (P166) to specify the work that an award was given to the creator for
7. award rationale, also known as award citation, rationale, award reason (wd:P6208 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): qualifier to add short citation explaining the official reason f... or add comments about a person's award. No quote marked needed.
8. nominee, also known as award nominee (wd:P2453 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): qualifier used with “nominated for” to specify which person or organization was nominated
9. eligible recipient, also known as eligible recipient for award, type of recipient who is eligible for this award (wd:P8115 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): party that is eligible to receive something, like an award, grant or prize
10. awarded for period (wd:P4566 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): period during which the achievement must have been made to be eligible for an award

[Tool]
Top 10 property alternatives:
1. significant event, also known as significant occurrence, significant incident, significant achievment, sign. event, outcome (wd:P793 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): significant or notable events associated with the subject
2. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): award or recognition received by a person, organization or creative work
3. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): time when an entity begins to exist; for date of official opening use P1619, start time
4. stage reached, also known as eliminated at, point achieved, round reached (wd:P2443 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): ultimate point in an event or competition reached by a participant
5. competition won, also known as won event, won, winner of, victory (wd:P2522 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): competition or sports event won by the subject, participant in
6. for work, also known as awarded for work, citation for award, for their work on, nominated for work (wd:P1686 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): qualifier of award received (P166) to specify the work that an award was given to the creator for
7. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): what the place, monument, memorial, or holiday, commemorates, main subject
8. number of wins, also known as games won, won, wins, W, sporting wins (wd:P1355 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): number of sporting matches, games or events won
9. statement is subject of, also known as statement is the subject of, subject of the statement, subject of the claim, subject of, related item of statement (wd:P805 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): (qualifying) item that describes the relation identified in this statement
10. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as psn/prn/pqv/psv/wdt/prv/pq/pr/pqn/wdtn/p/ps): winner of a competition or similar event, not to be used for awa...ssibly qualified with "for work" (P1686)) or for wars or battles, participating team, participant

[Tool]
Got 6 rows and 3 columns:
| subject                     | property                        | object                              |
| --------------------------- | ------------------------------- | ----------------------------------- |
| Scottie Pippen (wd:Q193637) | member of sports team (wdt:P54) | Chicago Bulls (wd:Q128109)          |
| Scottie Pippen (wd:Q193637) | member of sports team (wdt:P54) | Portland Trail Blazers (wd:Q167253) |
| Scottie Pippen (wd:Q193637) | member of sports team (wdt:P54) | Houston Rockets (wd:Q161345)        |
| Scottie Pippen (wd:Q193637) | member of sports team (wdt:P54) | Torpan Pojat (wd:Q14622334)         |
| Scottie Pippen (wd:Q193637) | member of sports team (wdt:P54) | Helsinki Seagulls (wd:Q1889253)     |
| Scottie Pippen (wd:Q193637) | member of sports team (wdt:P54) | Sundsvall Dragons (wd:Q2405952)     |

[Tool]
Got 4 rows and 3 columns:
| subject                     | property                  | object                                                               |
| --------------------------- | ------------------------- | -------------------------------------------------------------------- |
| Scottie Pippen (wd:Q193637) | award received (wdt:P166) | NBA All-Star Game Kobe Bryant Most Valuable Player Award (wd:Q31391) |
| Scottie Pippen (wd:Q193637) | award received (wdt:P166) | All-NBA Team (wd:Q674359)                                            |
| Scottie Pippen (wd:Q193637) | award received (wdt:P166) | NBA All-Defensive Team (wd:Q1465181)                                 |
| Scottie Pippen (wd:Q193637) | award received (wdt:P166) | Elijah Pitts Award (wd:Q16834973)                                    |

[Tool] Got no rows and 3 columns

[Assistant]
Now I have the following relevant information for Scottie Pippen:
- Occupations: basketball player, actor
- Teams played for: Chicago Bulls, Portland Trail Blazers, Houston Rockets, Torpan Pojat, Helsinki Seagulls, Sundsvall Dragons
- Awards received: NBA All-Star Game Kobe Bryant Most Valuable Player Award, All-NBA Team, NBA All-Defensive Team, Elijah Pitts Award

To provide a comprehensive answer, I will construct a SPARQL query that retrieves all of these: occupations, teams, and awards, with optional English labels for clarity.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query retrieves relevant information about Scottie Pippen's occupations, teams, and awards, and it correctly returns the IRIs for these items. However, the query structure leads to a Cartesian product of all occupations, teams, and awards, resulting in many redundant rows and making it difficult to interpret the results. To improve, the query should separate these aspects, perhaps by using UNION or by running separate queries for each property, or by grouping results. Additionally, the answer could be more focused on summarizing the most notable aspects Scottie Pippen is known for, rather than listing all possible teams and awards. The current answer is factually correct but could be refined for clarity and relevance.

[Assistant]
Thank you for the detailed feedback. You are correct: the current query produces a Cartesian product, which is not ideal for clarity or efficiency. To address this, I will restructure the query to separate the three aspects (occupations, teams, awards) using UNION, so each result row will contain only one type of "known for" item per row. This will make the results easier to interpret and use.

Additionally, I will focus the answer on the most notable aspects: his primary occupation (basketball player), his most famous team (Chicago Bulls), and his most significant awards (NBA All-Star Game MVP, All-NBA Team, NBA All-Defensive Team).

Step-by-step plan:
1. Use UNION in the SPARQL query to return each "known for" aspect in a separate row, with a variable indicating the type (occupation, team, or award).
2. Add optional labels for human readability.
3. Summarize the answer to focus on the most notable aspects.

Let's construct the improved query.

[Tool] Stopped generation process


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

The 1906 San Francisco earthquake occurred on April 18, 1906.

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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

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

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

[User] when did the san francisco earthquake occur?

[Assistant]
Let's break down the question:

1. The user is asking about the date of occurrence of the San Francisco earthquake.
2. I need to identify the correct entity for the "San Francisco earthquake" and the property for the date of occurrence.

First, I will search for the entity "San Francisco earthquake" in Wikidata.

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

[Assistant]
The top result for "San Francisco earthquake" is the 1906 San Francisco earthquake (wd:Q211386), which is the most well-known event referred to by that name. There are also other earthquakes, such as the 1989 Loma Prieta earthquake and the 1957 San Francisco earthquake, but unless specified otherwise, "San Francisco earthquake" usually refers to the 1906 event.

Next, I need to find the property for the date of occurrence. I will search for properties related to "date" for the entity wd:Q211386.

[Tool]
Top 10 property alternatives:
1. point in time, also known as at time, as of, year, when, time of event (wd:P585 as p/wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
2. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as p/wdt): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
3. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
4. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as p/wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
5. video, also known as gif, animation, trailer, media (wd:P10 as p/wdt): relevant video. For images, use the property P18. For film trailers, qualify with "object has role" (P3831)="trailer" (Q622550)
6. has cause, also known as implied by, originated due to, initial cause, outcome of, reason (wd:P828 as p/wdt): underlying cause, entity that ultimately resulted in this effect, follows
7. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
8. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
9. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
10. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment

No other items found

[Assistant] The most relevant property for the date of occurrence is "point in time" (wdt:P585). Now, I will construct a SPARQL query to retrieve the date when the 1906 San Francisco earthquake (wd:Q211386) occurred, using the property wdt:P585.

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the date of the 1906 San Francisco earthquake by querying the 'point in time' property (wdt:P585) for the correct Wikidata entity (wd:Q211386). The answer matches the expected result, and the query returns the actual IRI value as required. No further refinement is necessary.