PREFIX schema: <http://schema.org/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?person ?personLabel ?occupation ?occupationLabel ?position ?positionLabel ?sport ?sportLabel ?team ?teamLabel ?award ?awardLabel ?desc WHERE {
  BIND( wd:Q193637 AS ?person ) OPTIONAL {
    ?person rdfs:label ?personLabel FILTER ( LANG( ?personLabel ) = "en" )
  }
  OPTIONAL {
    ?person schema:description ?desc FILTER ( LANG( ?desc ) = "en" )
  }
  OPTIONAL {
    ?person wdt:P106 ?occupation .
    ?occupation rdfs:label ?occupationLabel
    FILTER ( LANG( ?occupationLabel ) = "en" )
  }
  OPTIONAL {
    ?person wdt:P413 ?position .
    ?position rdfs:label ?positionLabel
    FILTER ( LANG( ?positionLabel ) = "en" )
  }
  OPTIONAL {
    ?person wdt:P641 ?sport .
    ?sport rdfs:label ?sportLabel
    FILTER ( LANG( ?sportLabel ) = "en" )
  }
  OPTIONAL {
    ?person wdt:P54 ?team .
    ?team rdfs:label ?teamLabel
    FILTER ( LANG( ?teamLabel ) = "en" )
  }
  OPTIONAL {
    ?person wdt:P166 ?award .
    ?award rdfs:label ?awardLabel
    FILTER ( LANG( ?awardLabel ) = "en" )
  }
}
ORDER BY ?occupationLabel ?positionLabel ?teamLabel ?awardLabel

Using entities:
Scottie Pippen (wd:Q193637), also known as No Tippin' Pippen, Pip, Robin, Scott Pippen, Scotty Maurice Pippen

Using properties:
occupation (wd:P106 as wdt), also known as avocation, career, craft, employ, employment, etc.
award received (wd:P166 as wdt), also known as award, awarded, awards, awards received, award won, etc.
position played on team / speciality (wd:P413 as wdt), also known as fielding position, player position, position, position (on team), specialism, etc.
member of sports team (wd:P54 as wdt), also known as club played for, member of team, of team, part of team, played for, etc.
sport (wd:P641 as wdt), also known as play, plays, sport played, sports, P641

Got 48 rows and 13 columns, showing the first 5 and last 5 columns and the first 5 and last 5 rows below:
| person                      | personLabel         | occupation                      | occupationLabel        | position                   | ... | team                            | teamLabel              | award                                                                | awardLabel                                                    | desc                            |
| --------------------------- | ------------------- | ------------------------------- | ---------------------- | -------------------------- | --- | ------------------------------- | ---------------------- | -------------------------------------------------------------------- | ------------------------------------------------------------- | ------------------------------- |
| Scottie Pippen (wd:Q193637) | Scottie Pippen (en) | actor (wd:Q33999)               | actor (en)             | small forward (wd:Q308879) | ... | Chicago Bulls (wd:Q128109)      | Chicago Bulls (en)     | All-NBA Team (wd:Q674359)                                            | All-NBA Team (en)                                             | American basketball player (en) |
| Scottie Pippen (wd:Q193637) | Scottie Pippen (en) | actor (wd:Q33999)               | actor (en)             | small forward (wd:Q308879) | ... | Chicago Bulls (wd:Q128109)      | Chicago Bulls (en)     | Elijah Pitts Award (wd:Q16834973)                                    | Elijah Pitts Award (en)                                       | American basketball player (en) |
| Scottie Pippen (wd:Q193637) | Scottie Pippen (en) | actor (wd:Q33999)               | actor (en)             | small forward (wd:Q308879) | ... | Chicago Bulls (wd:Q128109)      | Chicago Bulls (en)     | NBA All-Defensive Team (wd:Q1465181)                                 | NBA All-Defensive Team (en)                                   | American basketball player (en) |
| Scottie Pippen (wd:Q193637) | Scottie Pippen (en) | actor (wd:Q33999)               | actor (en)             | small forward (wd:Q308879) | ... | Chicago Bulls (wd:Q128109)      | Chicago Bulls (en)     | NBA All-Star Game Kobe Bryant Most Valuable Player Award (wd:Q31391) | NBA All-Star Game Kobe Bryant Most Valuable Player Award (en) | American basketball player (en) |
| Scottie Pippen (wd:Q193637) | Scottie Pippen (en) | actor (wd:Q33999)               | actor (en)             | small forward (wd:Q308879) | ... | Helsinki Seagulls (wd:Q1889253) | Helsinki Seagulls (en) | All-NBA Team (wd:Q674359)                                            | All-NBA Team (en)                                             | American basketball player (en) |
| ...                         | ...                 | ...                             | ...                    | ...                        | ... | ...                             | ...                    | ...                                                                  | ...                                                           | ...                             |
| Scottie Pippen (wd:Q193637) | Scottie Pippen (en) | basketball player (wd:Q3665646) | basketball player (en) | small forward (wd:Q308879) | ... | Sundsvall Dragons (wd:Q2405952) | Sundsvall Dragons (en) | NBA All-Star Game Kobe Bryant Most Valuable Player Award (wd:Q31391) | NBA All-Star Game Kobe Bryant Most Valuable Player Award (en) | American basketball player (en) |
| Scottie Pippen (wd:Q193637) | Scottie Pippen (en) | basketball player (wd:Q3665646) | basketball player (en) | small forward (wd:Q308879) | ... | Torpan Pojat (wd:Q14622334)     | Torpan Pojat (en)      | All-NBA Team (wd:Q674359)                                            | All-NBA Team (en)                                             | American basketball player (en) |
| Scottie Pippen (wd:Q193637) | Scottie Pippen (en) | basketball player (wd:Q3665646) | basketball player (en) | small forward (wd:Q308879) | ... | Torpan Pojat (wd:Q14622334)     | Torpan Pojat (en)      | Elijah Pitts Award (wd:Q16834973)                                    | Elijah Pitts Award (en)                                       | American basketball player (en) |
| Scottie Pippen (wd:Q193637) | Scottie Pippen (en) | basketball player (wd:Q3665646) | basketball player (en) | small forward (wd:Q308879) | ... | Torpan Pojat (wd:Q14622334)     | Torpan Pojat (en)      | NBA All-Defensive Team (wd:Q1465181)                                 | NBA All-Defensive Team (en)                                   | American basketball player (en) |
| Scottie Pippen (wd:Q193637) | Scottie Pippen (en) | basketball player (wd:Q3665646) | basketball player (en) | small forward (wd:Q308879) | ... | Torpan Pojat (wd:Q14622334)     | Torpan Pojat (en)      | NBA All-Star Game Kobe Bryant Most Valuable Player Award (wd:Q31391) | NBA All-Star Game Kobe Bryant Most Valuable Player Award (en) | American basketball player (en) |

Answer: Scottie Pippen (wd:Q193637) is known for being an American professional basketball player — primarily a small forward — who played for teams including the Chicago Bulls. He is notable for his defensive play and multiple honors such as All-NBA Team and NBA All-Defensive Team selections; his Wikidata occupations also include actor.

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] what was scottie pippen known for?

[Assistant] I'll search for the Wikidata item for "Scottie Pippen" to identify the correct entity I should query. Then I'll inspect key properties (like occupation, notable role, achievements) to construct a SPARQL query that returns what he is known for. I'll run queries and explain results as I go.

[Tool]
Top 10 entity alternatives:
1. Scottie Pippen (wd:Q193637), also known as No Tippin' Pippen, Pip, Robin, Scott Pippen, Scotty Maurice Pippen: has occupation basketball player / American basketball player / has occupation actor / is instance of human
2. Scotty Pippen Jr. (wd:Q100901254, matched via Scottie Pippen Jr.), also known as Scottie Pippen Jr.: has occupation basketball player / American basketball player / is instance of human
3. Slam City with Scottie Pippen (wd:Q3486520): is instance of video game / 1994 video game / 1994 video game / 1994 video game
4. Scottish Terrier (wd:Q39035, matched via Scottie), also known as Aberdeen Terrier, Scottie, Scotty Dog: is instance of dog breed / is subclass of dog / dog breed
5. Scottie Scheffler (wd:Q30161386), also known as Scott Alexander Scheffler: American golfer (1996-) / has occupation actor / is instance of human
6. Katherine MacGregor (wd:Q435455, matched via Scottie MacGregor), also known as Dorlee Deane McGregor, Scottie MacGregor: has occupation television actor / American actress (1925-2018) / has occupation stage actor / has occupation film actor / has occupation dancer / has occupation actor / is instance of human
7. Scottie Barnes (wd:Q66459298): has occupation basketball player / American basketball player / is instance of human
8. Scottie Thompson (wd:Q437912), also known as Susan Scott Thompson, Susan S. Thompson, Susan Thompson: has occupation television actor / has occupation stage actor / has occupation film actor / has occupation actor / is instance of human / American actress
9. Scottie Wilbekin (wd:Q16235973), also known as Scottie Jordan Wilbekin: has occupation basketball player / American basketball player / is instance of human
10. Scottie Upshall (wd:Q2004843), also known as Scott Upshall: has occupation ice hockey player / Canadian ice hockey player / is instance of human

[Assistant] I'll retrieve properties related to what Scottie Pippen is known for by searching properties of his Wikidata entity for keywords like "known", "notable", "occupation", or "known for".

[Tool]
Top 10 property alternatives:
1. name (wd:P2561 as p/wdt, matched via known as), also known as aka, also known as, be known as, be referred as, known as, etc.: name the subject is known by; preferably use a more specific subproperty if available
2. given name (wd:P735 as p/wdt, matched via name), also known as Christian name, first name, forename, middle name, name, etc.: first name or another given name of this person; values used with the property should not link disambiguations nor family names / first name or another given name of this person; values used with the property shouldn't link disambiguations nor family names / first name or another given name of this person; values used with the property shouldn't link disambiguations nor family names / is subproperty of name
3. child (wd:P40 as p/wdt, matched via kid), also known as children, daughter, daughters, descendants, father of, etc.: subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039) / subject has the object in their family as their offspring son or daughter (independently of their age) / subject has object as biological, foster, and/or adoptive child / is subproperty of significant person / is subproperty of relative
4. instance of (wd:P31 as p/wdt, matched via is a), also known as example of, has type, is a, is an, is of type, etc.: type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform / that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform)
5. relative (wd:P1038 as p/wdt, matched via relation), also known as ancestor, aunt, aunt-in-law, brother-in-law, co-brother-in-law, etc.: family member (qualify with "kinship to subject", P1039; for direct family member please use specific property) / family member (qualify with "type of kinship", P1039; for direct family member please use specific property) / is subproperty of significant person
6. league or competition (wd:P118 as p/wdt, matched via cup), also known as competition, cup, division, sports league, tournament, etc.: league or competition in which team or player has played, or in which an event occurs / is subproperty of participant in / league in which the team plays / league in which the team plays
7. award received (wd:P166 as p/wdt, matched via awarded), also known as award, awarded, awards, awards received, award won, etc.: award or recognition received by a person, organisation or creative work / award or recognition received by a person, organization or creative work / award or recognition received by a person, organization or creative work / awards received by a person, organisation or creative work
8. position played on team / speciality (wd:P413 as p/wdt, matched via position), also known as fielding position, player position, position, position (on team), specialism, etc.: position the player plays. Samples: defenceman, pitcher, goalie / position the player plays. Samples: defenceman, pitcher, goalie / position or specialism of a player on a team
9. mother (wd:P25 as p/wdt, matched via mam), also known as child of, daughter of, has mother, is child of, is daughter of, etc.: female parent of the subject. For stepmother, use "stepparent" (P3448) / female parent of the subject. For stepmother, use "stepparent" (P3448) / female parent of the subject. For stepmother, use "stepparent" (P3448) / is subproperty of parent
10. participant in (wd:P1344 as p/wdt, matched via attended), also known as attended, competed in, competes in, participant of, participant of event, etc.: event in which a person or organisation was/is a participant; inverse of P710 or P1923 / event in which a person or organization was/is a participant; inverse of P710 or P1923 / is subproperty of significant event / is subproperty of part of

No other items found

[Assistant] I'll look up key properties of Scottie Pippen's Wikidata item, starting with occupation and awards to capture what he was known for.

[Tool]
Top 10 property alternatives:
1. occupation (wd:P106 as p/wdt), also known as avocation, career, craft, employ, employment, etc.: occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39) / occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39) / occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
2. residence (wd:P551 as p/wdt, matched via place of residence), also known as address, has resided in, home city, home town, hometown, etc.: the place where the person is, or has been, resident / the place where the person is or has been, resident / is subproperty of location
3. work period (start) (wd:P2031 as p/wdt, matched via career began), also known as active since, career began, career start, date of activity (start), debut, etc.: start of period during which a person or group flourished (fl. = "floruit") in their professional activity / start of period during which a person or group flourished (fl. = "floruit") in their professional activity / is subproperty of start time / is subproperty of floruit
4. country of citizenship (wd:P27 as p/wdt, matched via nationality), also known as citizen of, citizenship, country, (legal) nationality, nation, etc.: the object is a country that recognizes the subject as its citizen / the object is a country that recognizes the subject as its citizen / is subproperty of country
5. ethnic group (wd:P172 as p/wdt, matched via people), also known as (cultural) nationality, culture, ethnicity, ethnic or cultural origin, people, etc.: subject's ethnicity (consensus is that a VERY high standard ... on by scholars, or 3) is fictional and portrayed as such) / subject's ethnicity (consensus is that a VERY high standard ... on by scholars, or 3) is fictional and portrayed as such)
6. place of birth (wd:P19 as p/wdt), also known as birth city, birth location, birth place, birthplace, born, etc.: most specific known (e.g. city instead of country, or ... birth location of a person, animal or fictional character / most specific known (e.g. city instead of country, or ... birth location of a person, animal or fictional character / most specific known birth location of a person, animal or fictional character / is subproperty of location
7. relative (wd:P1038 as p/wdt, matched via family), also known as ancestor, aunt, aunt-in-law, brother-in-law, co-brother-in-law, etc.: family member (qualify with "kinship to subject", P1039; for direct family member please use specific property) / family member (qualify with "type of kinship", P1039; for direct family member please use specific property) / is subproperty of significant person
8. position played on team / speciality (wd:P413 as p/wdt, matched via position), also known as fielding position, player position, position, position (on team), specialism, etc.: position the player plays. Samples: defenceman, pitcher, goalie / position the player plays. Samples: defenceman, pitcher, goalie / position or specialism of a player on a team
9. educated at (wd:P69 as p/wdt, matched via place of education), also known as alma mater, alumna of, alumni of, alumnus of, attended, etc.: educational institution attended by the subject / educational institution attended by the subject / educational institution attended by subject / is subproperty of affiliation
10. league or competition (wd:P118 as p/wdt, matched via division), also known as competition, cup, division, sports league, tournament, etc.: league or competition in which team or player has played, or in which an event occurs / is subproperty of participant in / league in which the team plays / league in which the team plays

No other items found

[Assistant] I'll retrieve the occupation and instance of values for Scottie Pippen to see what he is classified as and what occupations are listed.

[Tool] Got no rows and 4 columns

[Assistant] I'll search for properties that express "known for" or "notable for" in Wikidata to find an appropriate property to use (like 'notable work' or 'known for'). I will run a property search for "known for" and "notable".

[Tool]
Top 10 property alternatives:
1. notable work (wd:P800 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via known for), also known as artwork, author of, bibliography, books by, creator of, etc.: notable scientific, artistic or literary work, or other work of significance among subject's works / notable scientific, artistic or literary work, or other work of significance among subject's works
2. significant event (wd:P793 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via known for), also known as big event, event, fate, important event, key event, etc.: significant or notable events associated with the subject / significant or notable events associated with the subject / significant or notable events associated with the subject
3. named after (wd:P138 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via named for), also known as eponym, etymology, name after, named for, named in honor of, etc.: entity or event that inspired the subject's name, or namesake ... "applies to name" (P5168) can be used to indicate which one / person or other entity that inspired this item's name / person or other entity that inspired this item's name
4. name (wd:P2561 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via known as), also known as aka, also known as, be known as, be referred as, known as, etc.: name the subject is known by; preferably use a more specific subproperty if available
5. title (wd:P1476 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via known as), also known as article title, full title, headline, known as, name, etc.: published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work / published title of a work, such as a newspaper article, a literary work, a website, or a performance work / published title of a work, such as a newspaper article, a literary work, a website, or a performance work / is subproperty of name
6. alternative name (wd:P4970 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via also known as), also known as AKA, also known as, alternate name, alt. name, be known as, etc.: qualifier for alternative name(s), given for a subject in a ... in references (even these are no longer the preferred name) / qualifier for alternative names given for a subject in a database entry / qualifier for alternate names given for a subject in a database entry
7. nickname (wd:P1449 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via also known as), also known as aka, also known as, epithet, fan-name, fanname, etc.: informal name (for a pseudonym use P742) / is subproperty of name
8. significant person (wd:P3342 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via notable person), also known as associated people, associated person, employee, friend, friends, etc.: person linked to the item in any possible way
9. list item (wd:P11260 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via of), also known as list entry, list value, of, one of class, P11260: qualifier for "union of" (P2737) and "disjoint union of" (P2738) to identify constituent entities
10. characteristic of (wd:P13044 as pq/wdtn/prv/pr/psv/pqv/ps/prn/p/psn/wdt/pqn, matched via of), also known as inheres in, of, property of, quality of, P13044: (qualifier only) statement value is a characteristic, quality, property, or state of this qualifier value

[Assistant] "Notable work" (P800) might not be ideal for a sports person. Better: retrieve 'occupation' (P106) and possibly 'position played on team' (P413), 'award received' (P166), and short description label. Also check 'main subject' or 'sport' properties. I'll query occupation, position played on team, sport, awards, and maybe short description. I'll build a query returning these properties for wd:Q193637.

[Tool]
SPARQL execution failed:
Error while executing a SERVICE request to <http://wikiba.se:80/ontology#label>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '<html>
<head><title>301 Moved Permanently</title></head>
<body>
<center><h1>301 Moved Permanently'

[Assistant] I'll run a SPARQL query that retrieves Scottie Pippen's occupations, playing position, associated sport, awards, and the English short description from Wikidata. I will not use the unsupported wikibase label service; instead I will get labels with rdfs:label in optional clauses. Now I'll execute the query.

[Tool]
Got 8 rows and 9 columns:
| occupation                      | occupationLabel        | position                   | positionLabel      | sport                 | sportLabel      | award                                                                | awardLabel                                                    | desc                            |
| ------------------------------- | ---------------------- | -------------------------- | ------------------ | --------------------- | --------------- | -------------------------------------------------------------------- | ------------------------------------------------------------- | ------------------------------- |
| actor (wd:Q33999)               | actor (en)             | small forward (wd:Q308879) | small forward (en) | basketball (wd:Q5372) | basketball (en) | NBA All-Defensive Team (wd:Q1465181)                                 | NBA All-Defensive Team (en)                                   | American basketball player (en) |
| actor (wd:Q33999)               | actor (en)             | small forward (wd:Q308879) | small forward (en) | basketball (wd:Q5372) | basketball (en) | Elijah Pitts Award (wd:Q16834973)                                    | Elijah Pitts Award (en)                                       | American basketball player (en) |
| actor (wd:Q33999)               | actor (en)             | small forward (wd:Q308879) | small forward (en) | basketball (wd:Q5372) | basketball (en) | NBA All-Star Game Kobe Bryant Most Valuable Player Award (wd:Q31391) | NBA All-Star Game Kobe Bryant Most Valuable Player Award (en) | American basketball player (en) |
| actor (wd:Q33999)               | actor (en)             | small forward (wd:Q308879) | small forward (en) | basketball (wd:Q5372) | basketball (en) | All-NBA Team (wd:Q674359)                                            | All-NBA Team (en)                                             | American basketball player (en) |
| basketball player (wd:Q3665646) | basketball player (en) | small forward (wd:Q308879) | small forward (en) | basketball (wd:Q5372) | basketball (en) | NBA All-Defensive Team (wd:Q1465181)                                 | NBA All-Defensive Team (en)                                   | American basketball player (en) |
| basketball player (wd:Q3665646) | basketball player (en) | small forward (wd:Q308879) | small forward (en) | basketball (wd:Q5372) | basketball (en) | Elijah Pitts Award (wd:Q16834973)                                    | Elijah Pitts Award (en)                                       | American basketball player (en) |
| basketball player (wd:Q3665646) | basketball player (en) | small forward (wd:Q308879) | small forward (en) | basketball (wd:Q5372) | basketball (en) | NBA All-Star Game Kobe Bryant Most Valuable Player Award (wd:Q31391) | NBA All-Star Game Kobe Bryant Most Valuable Player Award (en) | American basketball player (en) |
| basketball player (wd:Q3665646) | basketball player (en) | small forward (wd:Q308879) | small forward (en) | basketball (wd:Q5372) | basketball (en) | All-NBA Team (wd:Q674359)                                            | All-NBA Team (en)                                             | American basketball player (en) |

[Assistant] I'll list all statements for Scottie Pippen with property award received (P166) to see the full set of awards and identify notable ones like NBA championships. I'll call the list function or execute a SPARQL query to fetch distinct awards.

[Tool]
Got 4 rows and 2 columns:
| award                                                                | awardLabel                                                    |
| -------------------------------------------------------------------- | ------------------------------------------------------------- |
| All-NBA Team (wd:Q674359)                                            | All-NBA Team (en)                                             |
| Elijah Pitts Award (wd:Q16834973)                                    | Elijah Pitts Award (en)                                       |
| NBA All-Defensive Team (wd:Q1465181)                                 | NBA All-Defensive Team (en)                                   |
| NBA All-Star Game Kobe Bryant Most Valuable Player Award (wd:Q31391) | NBA All-Star Game Kobe Bryant Most Valuable Player Award (en) |

[Assistant] Scottie Pippen is primarily known as an American basketball player and small forward; notable achievements include All-NBA Team selections, NBA All-Defensive Team, All-Star MVP, etc. The user's question is general: "what was scottie pippen known for?" They likely expect "He was known for being an American professional basketball player, primarily as a small forward, best known for playing with the Chicago Bulls and winning six NBA championships (as part of Bulls)". I should verify championships and team membership. I'll check teams he played for (P54: member of sports team?) Let's search property for teams: P54 is 'member of sports team'. I'll query teams he played for and championships (P1346 'winner' maybe for events; but for team championships, it's often 'award received' or 'champion' qualifiers). But easier: check 'member of sports team' and 'number of championships' or 'award: NBA champion' (maybe P166 includes 'NBA champion' as an award?) Let's list teams via P54.

[Tool]
Got 6 rows and 2 columns:
| team                                | teamLabel                   |
| ----------------------------------- | --------------------------- |
| Chicago Bulls (wd:Q128109)          | Chicago Bulls (en)          |
| Torpan Pojat (wd:Q14622334)         | Torpan Pojat (en)           |
| Houston Rockets (wd:Q161345)        | Houston Rockets (en)        |
| Portland Trail Blazers (wd:Q167253) | Portland Trail Blazers (en) |
| Helsinki Seagulls (wd:Q1889253)     | Helsinki Seagulls (en)      |
| Sundsvall Dragons (wd:Q2405952)     | Sundsvall Dragons (en)      |

[Assistant] I'll run a final SPARQL query that returns Scottie Pippen's occupations, playing position, sport, teams he played for, awards received, and the English short description. This will verify and gather the items that summarize what he was known for. I'll execute the query now.

[Tool]
Got 48 rows and 11 columns, showing the first 5 and last 5 columns and the first 5 and last 5 rows below:
| occupation                      | occupationLabel        | position                   | positionLabel      | sport                 | ... | team                            | teamLabel              | award                                                                | awardLabel                                                    | desc                            |
| ------------------------------- | ---------------------- | -------------------------- | ------------------ | --------------------- | --- | ------------------------------- | ---------------------- | -------------------------------------------------------------------- | ------------------------------------------------------------- | ------------------------------- |
| actor (wd:Q33999)               | actor (en)             | small forward (wd:Q308879) | small forward (en) | basketball (wd:Q5372) | ... | Chicago Bulls (wd:Q128109)      | Chicago Bulls (en)     | All-NBA Team (wd:Q674359)                                            | All-NBA Team (en)                                             | American basketball player (en) |
| actor (wd:Q33999)               | actor (en)             | small forward (wd:Q308879) | small forward (en) | basketball (wd:Q5372) | ... | Chicago Bulls (wd:Q128109)      | Chicago Bulls (en)     | Elijah Pitts Award (wd:Q16834973)                                    | Elijah Pitts Award (en)                                       | American basketball player (en) |
| actor (wd:Q33999)               | actor (en)             | small forward (wd:Q308879) | small forward (en) | basketball (wd:Q5372) | ... | Chicago Bulls (wd:Q128109)      | Chicago Bulls (en)     | NBA All-Defensive Team (wd:Q1465181)                                 | NBA All-Defensive Team (en)                                   | American basketball player (en) |
| actor (wd:Q33999)               | actor (en)             | small forward (wd:Q308879) | small forward (en) | basketball (wd:Q5372) | ... | Chicago Bulls (wd:Q128109)      | Chicago Bulls (en)     | NBA All-Star Game Kobe Bryant Most Valuable Player Award (wd:Q31391) | NBA All-Star Game Kobe Bryant Most Valuable Player Award (en) | American basketball player (en) |
| actor (wd:Q33999)               | actor (en)             | small forward (wd:Q308879) | small forward (en) | basketball (wd:Q5372) | ... | Helsinki Seagulls (wd:Q1889253) | Helsinki Seagulls (en) | All-NBA Team (wd:Q674359)                                            | All-NBA Team (en)                                             | American basketball player (en) |
| ...                             | ...                    | ...                        | ...                | ...                   | ... | ...                             | ...                    | ...                                                                  | ...                                                           | ...                             |
| basketball player (wd:Q3665646) | basketball player (en) | small forward (wd:Q308879) | small forward (en) | basketball (wd:Q5372) | ... | Sundsvall Dragons (wd:Q2405952) | Sundsvall Dragons (en) | NBA All-Star Game Kobe Bryant Most Valuable Player Award (wd:Q31391) | NBA All-Star Game Kobe Bryant Most Valuable Player Award (en) | American basketball player (en) |
| basketball player (wd:Q3665646) | basketball player (en) | small forward (wd:Q308879) | small forward (en) | basketball (wd:Q5372) | ... | Torpan Pojat (wd:Q14622334)     | Torpan Pojat (en)      | All-NBA Team (wd:Q674359)                                            | All-NBA Team (en)                                             | American basketball player (en) |
| basketball player (wd:Q3665646) | basketball player (en) | small forward (wd:Q308879) | small forward (en) | basketball (wd:Q5372) | ... | Torpan Pojat (wd:Q14622334)     | Torpan Pojat (en)      | Elijah Pitts Award (wd:Q16834973)                                    | Elijah Pitts Award (en)                                       | American basketball player (en) |
| basketball player (wd:Q3665646) | basketball player (en) | small forward (wd:Q308879) | small forward (en) | basketball (wd:Q5372) | ... | Torpan Pojat (wd:Q14622334)     | Torpan Pojat (en)      | NBA All-Defensive Team (wd:Q1465181)                                 | NBA All-Defensive Team (en)                                   | American basketball player (en) |
| basketball player (wd:Q3665646) | basketball player (en) | small forward (wd:Q308879) | small forward (en) | basketball (wd:Q5372) | ... | Torpan Pojat (wd:Q14622334)     | Torpan Pojat (en)      | NBA All-Star Game Kobe Bryant Most Valuable Player Award (wd:Q31391) | NBA All-Star Game Kobe Bryant Most Valuable Player Award (en) | American basketball player (en) |

[Assistant] I'll check whether Scottie Pippen has the Naismith Memorial Basketball Hall of Fame (to include in the summary) and whether he won NBA championships. I'll search his awards for Hall of Fame entry and look for championship indications like 'NBA championship' awards or 'champion' statements.

[Tool]
Top 10 entity alternatives:
1. Naismith Memorial Basketball Hall of Fame (wd:Q290922), also known as hoophall.com/, Naismith Basketball Hall of Fame: American history museum and basketball hall of fame / is instance of non-profit organisation / is instance of non-profit organization / is instance of nonprofit organization / is instance of sports hall of fame
2. Women's Basketball Hall of Fame (wd:Q2038865): sport hall of fame in Knoxville, Tennessee / is instance of sports hall of fame
3. National Collegiate Basketball Hall of Fame (wd:Q3336862): college basketball hall of fame in Kansas City, Missouri / is instance of sports hall of fame
4. Italian Basketball Hall of Fame (wd:Q3804134): hall of fame in Bologna, Italy / is instance of hall of fame
5. Finnish Basketball Hall of Fame (wd:Q11895046): is instance of hall of fame / hall of Fame in Finland
6. Indiana Basketball Hall of Fame (wd:Q6023065): is instance of sports hall of fame
7. NYC Basketball Hall of Fame (wd:Q119438313), also known as hoopshallnyc, New York City Basketball Hall of Fame: basketball Hall of Fame in New York City, United States / is instance of hall of fame / is instance of museum
8. Australian Basketball Hall of Fame (wd:Q4823881): is instance of award
9. Ontario Basketball Hall of Fame (wd:Q125475582), also known as OBA Hall of Fame: institution for recognizing Ontarian basketball achievements / is instance of sports hall of fame
10. Rock and Roll Hall of Fame (wd:Q179191), also known as Rock and Roll Hall of Fame and Museum, Rock Hall, rockhall.com, Rock & Roll Hall of Fame, RRHOF: music museum in Cleveland, Ohio, United States / music museum in Cleveland, Ohio, United States / is instance of museum building / is instance of music museum / is instance of hall of fame / is instance of award

No other items found

No literal items found

[Assistant] I'll check if Scottie Pippen (wd:Q193637) has an award statement for the Naismith Memorial Basketball Hall of Fame (wd:Q290922).

[Tool] False

[Assistant]
Perhaps Hall of Fame induction is represented via 'member of' or 'award received' with a different item or via P166? I can list all P166 values which I already did and Hall of Fame wasn't present. But I know Scottie Pippen was inducted. Maybe the property used is 'participant in' or statement 'member of the Naismith Basketball Hall of Fame' uses P463? Let's list all properties of the item related to 'honor' or 'hall'. I'll query for statements with property label containing 'hall' or 'hall of fame' but simpler: retrieve short description and known facts: occupation and that he was a professional basketball player, small forward for Chicago Bulls, six-time NBA champion. To ensure "six-time NBA champion" is present, check if 'series of teams' or 'award': maybe 'champion' isn't stored as an award on person. Another way: check 'Nba championship' event wins might be in team achievements, not person. But the user's question is general; we can answer based on occupations and roles: "He was known for being an American professional basketball player, played small forward for the Chicago Bulls, a key member and defensive player, won six NBA championships." We should ensure the "six championships" is supported in Wikidata — maybe it's in 'significant event' or 'member of sports team' qualifiers. Let's inspect statements about 'championships' by checking property 'number of championships' — P166? There's 'participant in' P1344 maybe. Search for 'six' as qualifier? Alternatively, we can craft an answer focusing on verified facts: occupation (basketball player), position (small forward), sport, teams (Chicago Bulls), awards (All-NBA, All-Defensive), which are in the data.

I'll prepare the final SPARQL query requested by the developer: return the item and the key properties: occupation, position, sport, team(s), awards, and description. This will be the final query and then present a concise answer "He was known for being an American professional basketball player, small forward, played for the Chicago Bulls, known for defense, part of Bulls' championship teams, multiple All-Defensive and All-NBA selections." But must ensure any claim matches query results: "part of Bulls' championship teams" is implied by being on Bulls and known as a player — but we shouldn't claim 'six-time NBA champion' unless we verify. Let's search the label or 'champion' mentions in description? Maybe his Wikipedia short description says "American basketball player (born 1965)" It doesn't say championships.

I'll search for "Scottie Pippen NBA championship" in Wikidata by searching properties or text. Use search_entity for "Scottie Pippen six championships" — but search_entity only finds entities. Alternatively, check for 'number of championships' property P1346? P1346 is 'winner', used for events. There may be items like 'NBA championship' as an award but it's messy.

Given constraints and to be safe, I'll not assert the number of championships. I'll state he's known as an American professional basketball player, small forward, primarily known for playing for the Chicago Bulls, notable defensive player with multiple All-NBA and All-Defensive selections and All-Star awards. Those are supported by the query.

Now I must follow the developer instructions: explain thought process before and after each step and function call — I already did earlier. But I need to include explanation before calling the final answer function. I have to call functions.answer with the final SPARQL and answer string. The final SPARQL should be executed — requirement: "Always execute your final SPARQL query before giving an answer" — I did execute queries; need to execute final query now (though previous one is complex) — the answer function will execute the query? The functions.answer will run query on the KG — per tool's doc, it expects the final Sparql string and knowledge graph. I must ensure the query returns IRIs of items. My final SPARQL should select ?person and ?personLabel maybe, occupations, position, teams, awards. Must not use label service. Include rdfs:label optional blocks. I'll prepare a concise final SPARQL that returns distinct properties and labels.

Construct final SPARQL:

SELECT DISTINCT ?person ?personLabel ?occupation ?occupationLabel ?position ?positionLabel ?sportsTeam ?sportsTeamLabel ?award ?awardLabel ?sport ?sportLabel WHERE {
BIND(wd:Q193637 AS ?person)
OPTIONAL { ?person wdt:P106 ?occupation . ?occupation rdfs:label ?occupationLabel FILTER(LANG(?occupationLabel)="en") }
OPTIONAL { ?person wdt:P413 ?position . ?position rdfs:label ?positionLabel FILTER(LANG(?positionLabel)="en") }
OPTIONAL { ?person wdt:P54 ?sportsTeam . ?sportsTeam rdfs:label ?sportsTeamLabel FILTER(LANG(?sportsTeamLabel)="en") }
OPTIONAL { ?person wdt:P166 ?award . ?award rdfs:label ?awardLabel FILTER(LANG(?awardLabel)="en") }
OPTIONAL { ?person wdt:P641 ?sport . ?sport rdfs:label ?sportLabel FILTER(LANG(?sportLabel)="en") }
OPTIONAL { ?person schema:description ?personLabel FILTER(LANG(?personLabel)="en") } ???

Wait: schema:description needs different variable name. For personLabel we need rdfs:label of the person too. Better:

OPTIONAL { ?person rdfs:label ?personLabel FILTER(LANG(?personLabel)="en") }
OPTIONAL { ?person schema:description ?desc FILTER(LANG(?desc)="en") }

Include ?desc as optional.

OK.

Then call functions.answer with final SPARQL and answer text summarizing: "Scottie Pippen (wd:Q193637) was known for being an American professional basketball player, played as a small forward, primarily with the Chicago Bulls; noted for defense and multiple selections to All-NBA and NBA All-Defensive Teams; he is also an actor." The 'actor' occupation appears. The data shows occupation actor too.

Make sure answer references the Q id—should include "wd:Q193637". Good.

Add explanation before calling functions.answer: must explain thought process before final function call — already did many, but need to do it again per rule: "Explain your thought process before and after each step and function call." For final call, I'll include a brief explanation that I'm returning the SPARQL and that it's executed.

Then call functions.answer.

I'll provide a final SPARQL query that returns Scottie Pippen's Wikidata IRI and key properties (occupation, position, sport, teams, awards, and English description). Then I'll run it and give a concise, sourced answer describing what he was known for.

[Tool] Stopping


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?item ?itemLabel ?date WHERE {
  VALUES ?item {
    wd:Q211386 wd:Q1053476
  }
  OPTIONAL {
    ?item wdt:P585 ?date .
  }
  OPTIONAL {
    ?item rdfs:label ?itemLabel .
    FILTER ( LANG( ?itemLabel ) = "en" )
  }
}
ORDER BY ?date

Using entities:
1989 Loma Prieta earthquake (wd:Q1053476), also known as 1989 San Francisco earthquake, Loma Prieta earthquake
1906 San Francisco earthquake (wd:Q211386), also known as 1906 San Francisco earthquake and fire, earthquake of 1906, Great 1906 San Francisco Earthquake, Great San Francisco Earthquake and Fire, San Francisco earthquake and fire, 1906, etc.

Using properties:
point in time (wd:P585 as wdt), also known as as of, at time, by date, date, during, etc.

Answer:
There are two major events commonly referred to as the "San Francisco earthquake":
- 1906 San Francisco earthquake (wd:Q211386) — occurred on 1906-04-18.
- 1989 Loma Prieta earthquake (often called the 1989 San Francisco earthquake) (wd:Q1053476) — occurred on 1989-10-17.

when did the san francisco earthquake occur?

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] when did the san francisco earthquake occur?

[Assistant] I will search Wikidata for entities matching "San Francisco earthquake" to find the correct item (there are multiple events, e.g., 1906 and others). I'll first search for entities with that label.

[Tool]
Top 10 entity alternatives:
1. 1906 San Francisco earthquake (wd:Q211386), also known as 1906 San Francisco earthquake and fire, earthquake of 1906, Great 1906 San Francisco Earthquake, Great San Francisco Earthquake and Fire, San Francisco earthquake and fire, 1906, etc.: major earthquake that struck San Francisco and the coast of Northern California / is instance of earthquake / is instance of Earthquake
2. 1989 Loma Prieta earthquake (wd:Q1053476, matched via 1989 San Francisco earthquake), also known as 1989 San Francisco earthquake, Loma Prieta earthquake: major earthquake in northern California / major earthquake in northern California / is instance of natural disaster / is instance of Earthquake / is instance of earthquake / is instance of disaster
3. 1957 San Francisco earthquake (wd:Q20312370): is instance of earthquake / is instance of Earthquake
4. The Great San Francisco Earthquake (wd:Q125816606): scientific article published in 1988 / is instance of scholarly article / is instance of academic article
5. Earthquake waves at San Francisco (wd:Q80986050): scientific article published on 01 February 1884 / is instance of scholarly article / is instance of academic article
6. The Big Picture: San Francisco Earthquake (wd:Q110056932): is instance of Saturday Night Live sketch / sketch from Saturday Night Live
7. The San Francisco earthquake of 1906 (wd:Q58176314): scholarly article by Dennis R. Dean published November 1993 in Annals of Science / is instance of scholarly article / is instance of academic article
8. Saints and the San Francisco earthquake (wd:Q57138167): scientific article published on 01 January 1983 / is instance of scholarly article / is instance of academic article
9. The 1906 San Francisco Earthquake and Fire (wd:Q133012217): online exhibition from National Archives and Records Administration (United States) / is instance of online exhibition
10. Widely felt M3.7 earthquake shakes San Francisco (wd:Q132185779): scientific article published on 28 October 2023 / is instance of scholarly article / is instance of academic article

[Assistant] I'll search for the Wikidata item for "earthquake" to ensure I can filter for earthquake events. Then I'll query for items whose English label contains "San Francisco earthquake" and that are instances of earthquake, returning their dates. I'll explain my steps and show the intermediate queries.

[Tool]
Top 10 entity alternatives:
1. earthquake (wd:Q7944), also known as earth quake, earth quakes, earthquakes, quake, temblor, etc.: the result of a sudden release of energy in the Earth's crust that creates seismic waves / the result of a sudden release of energy in the Earth's crust that creates seismic waves / result of a sudden release of energy in the Earth's crust that creates seismic waves / is subclass of geographically localized event / is subclass of geologic activity / is subclass of natural disaster
2. Earthquake (wd:Q500280), also known as Tremblent de terre: 1974 film directed by Mark Robson / is instance of film
3. Earthquake (wd:Q26797463), also known as The Earthquake: 2016 film by Sarik Andreasyan / is instance of film
4. John Tenta (wd:Q1345719, matched via Earthquake), also known as Avalanche, Earthquake, Golga, John Anthony Tenta: Canadian professional wrestler and sumo wrestler (1963–2006) / has occupation professional wrestler / has occupation rikishi / has occupation Rikishi / is instance of human
5. Earthquake (wd:Q132398896): is instance of single / 2025 single by Jisoo
6. Earthquake (wd:Q3656255): album by Electric Sun / is instance of album
7. Earthquake (wd:Q5327254), also known as Nathaniel Martin Stroman: American actor, voice artist, and comedian / has occupation film actor / has occupation actor / is instance of human
8. Cannonball (wd:Q16034899, matched via Earthquake), also known as Earthquake: song by Showtek and Justin Prime / is instance of single
9. Earthquake (wd:Q14841262): single by DJ Fresh and Diplo / is instance of single
10. Nature Unleashed: Earthquake (wd:Q4191046, matched via Earthquake), also known as Earthquake: 2005 film directed by Tibor Takács / is instance of film

[Assistant] I'll retrieve the triples for the item 1906 San Francisco earthquake (wd:Q211386) to find which property stores its date (e.g., point in time P585, start time P580). I'll now list triples with that subject.

[Tool]
Got 357 rows and 3 columns, showing the first 10 rows below:
| subject                                    | property                                                    | object                                                                              |
| ------------------------------------------ | ----------------------------------------------------------- | ----------------------------------------------------------------------------------- |
| 1906 San Francisco earthquake (wd:Q211386) | instance of (wdt:P31)                                       | earthquake (wd:Q7944)                                                               |
| 1906 San Francisco earthquake (wd:Q211386) | country (wdt:P17)                                           | United States (wd:Q30)                                                              |
| 1906 San Francisco earthquake (wd:Q211386) | located in the administrative territorial entity (wdt:P131) | California (wd:Q99)                                                                 |
| 1906 San Francisco earthquake (wd:Q211386) | coordinate location (wdt:P625)                              | POINT(-122.550000 37.750000) (geo:wktLiteral)                                       |
| 1906 San Francisco earthquake (wd:Q211386) | Commons category (wdt:P373)                                 | San Francisco earthquake of 1906                                                    |
| 1906 San Francisco earthquake (wd:Q211386) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/Post-and-Grant-Avenue-Look.jpg> |
| 1906 San Francisco earthquake (wd:Q211386) | Freebase ID (wdt:P646)                                      | /m/01f6rm                                                                           |
| 1906 San Francisco earthquake (wd:Q211386) | location (wdt:P276)                                         | San Francisco (wd:Q62)                                                              |
| 1906 San Francisco earthquake (wd:Q211386) | described by source (wdt:P1343)                             | San Francisco Earthquake & Fire: April 18, 1906 (wd:Q19599178)                      |
| 1906 San Francisco earthquake (wd:Q211386) | Library of Congress authority ID (wdtn:P244)                | <http://id.loc.gov/authorities/names/sh2003006458>                                  |
| ...                                        | ...                                                         | ...                                                                                |

[Assistant] I need to find which property gives the date of occurrence. I'll search for time-related properties on this item.

[Tool]
Top 10 property alternatives:
1. point in time (wd:P585 as p/wdt, matched via date), also known as as of, at time, by date, date, during, etc.: date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241) / time and date something took place, existed or a statement was true / time and date something took place, existed or a statement was true / time and date something took place, existed or a statement was true
2. location (wd:P276 as p/wdt, matched via from), also known as based in, city, from, held by, in, etc.: location of the object, structure or event. In the case of an ... use P706. Use P7153 for locations associated with the object / location of the item, physical object or event is within. In ... use P131. In case of a distinct terrain feature use P706. / location of the item, physical object or event is within. In ... use P131. In case of a distinct terrain feature use P706.
3. coordinate location (wd:P625 as p/wdt, matched via position), also known as co-ordinate location, co-ordinates, coordinates, co-ords, coords, etc.: geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment / coordinates of the subject / coordinates of the subject
4. topic's main category (wd:P910 as p/wdt, matched via category), also known as article's main category, category, category for this topic, catmain, has category, etc.: main category of this topic / main Wikimedia category
5. instance of (wd:P31 as p/wdt, matched via type), also known as example of, has type, is a, is an, is of type, etc.: type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform / that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform)
6. located in the administrative territorial entity (wd:P131 as p/wdt, matched via in), also known as administrative territorial entity, administrative territory, city, happens in, in, etc.: the item is located on the territory of the following ... the item falls only partially into the administrative entity. / the item is located on the territory of the following ... the item falls only partially into the administrative entity. / the item is located on the territory of the following administrative entity / the item is located on the territory of the following administrative entity / is subproperty of location / is subproperty of part of
7. described by source (wd:P1343 as p/wdt, matched via subject in), also known as defined in, described by biography, described by encyclopedia, described by obituary, described by reference work, etc.: dictionary, encyclopaedia, etc. where this item is described / work where this item is described / is subproperty of attested in
8. country (wd:P17 as p/wdt, matched via state), also known as host country, land, sovereign state, state, P17: sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / is subproperty of located in the administrative territorial entity
9. has cause (wd:P828 as p/wdt, matched via cause), also known as because, cause, caused by, due to, effect of, etc.: underlying cause, entity that ultimately resulted in this effect / underlying cause, thing that ultimately resulted in this effect / is subproperty of follows
10. number of deaths (wd:P1120 as p/wdt, matched via death number), also known as dead, death count, death number, deaths, death toll, etc.: total (cumulative) number of people who died since start as a direct result of an event or cause / number of ALL people who died as a direct result of an event or cause / number of ALL people who died as a direct result of an event or cause

No other items found

[Assistant] The property "point in time" (P585) is likely used for the event date. I'll list triples where the property is P585 for this item.

[Tool]
Got 1 row and 3 columns:
| subject                                    | property                 | object                              |
| ------------------------------------------ | ------------------------ | ----------------------------------- |
| 1906 San Francisco earthquake (wd:Q211386) | point in time (wdt:P585) | 1906-04-18T00:00:00Z (xsd:dateTime) |

[Assistant] I'll run a SPARQL query that finds items that are instances of "earthquake" and whose English label or English alias contains "San Francisco earthquake", returning the item IRIs and their point-in-time (date) values. This should capture both the 1906 and 1989 events if they are labeled or aliased accordingly. Now I'll execute the query.

[Tool]
SPARQL execution failed:
HTTPConnectionPool(host='localhost', port=7001): Read timed out. (read timeout=30)

[Assistant] I'll check the Wikidata item for the 1989 Loma Prieta earthquake (wd:Q1053476) to find its date property, similar to what I did for the 1906 event.

[Tool]
Got 232 rows and 3 columns, showing the first 10 rows below:
| subject                                   | property                                                    | object                                                                       |
| ----------------------------------------- | ----------------------------------------------------------- | ---------------------------------------------------------------------------- |
| 1989 Loma Prieta earthquake (wd:Q1053476) | instance of (wdt:P31)                                       | earthquake (wd:Q7944)                                                        |
| 1989 Loma Prieta earthquake (wd:Q1053476) | country (wdt:P17)                                           | United States (wd:Q30)                                                       |
| 1989 Loma Prieta earthquake (wd:Q1053476) | located in the administrative territorial entity (wdt:P131) | California (wd:Q99)                                                          |
| 1989 Loma Prieta earthquake (wd:Q1053476) | coordinate location (wdt:P625)                              | POINT(-121.877000 37.040000) (geo:wktLiteral)                                |
| 1989 Loma Prieta earthquake (wd:Q1053476) | Commons category (wdt:P373)                                 | Loma Prieta earthquake                                                       |
| 1989 Loma Prieta earthquake (wd:Q1053476) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/Cypress%20collapsed.jpg> |
| 1989 Loma Prieta earthquake (wd:Q1053476) | Freebase ID (wdt:P646)                                      | /m/01mv1y                                                                    |
| 1989 Loma Prieta earthquake (wd:Q1053476) | Library of Congress authority ID (wdtn:P244)                | <http://id.loc.gov/authorities/names/sh2003006457>                           |
| 1989 Loma Prieta earthquake (wd:Q1053476) | different from (wdt:P1889)                                  | 2009 Sumatra earthquakes (wd:Q815718)                                        |
| 1989 Loma Prieta earthquake (wd:Q1053476) | point in time (wdt:P585)                                    | 1989-10-17T00:00:00Z (xsd:dateTime)                                          |
| ...                                       | ...                                                         | ...                                                                          |

[Assistant] The Loma Prieta (1989) item has point in time P585 set to 1989-10-17. The earlier query timed out; I'll run separate queries for the 1906 and 1989 items to extract their dates and ensure they are among the San Francisco earthquakes. First, the 1906 item query.

[Tool]
Got 1 row and 3 columns:
| item                                       | label                              | date                                |
| ------------------------------------------ | ---------------------------------- | ----------------------------------- |
| 1906 San Francisco earthquake (wd:Q211386) | 1906 San Francisco earthquake (en) | 1906-04-18T00:00:00Z (xsd:dateTime) |

[Assistant] Now retrieve the 1989 Loma Prieta earthquake item similarly.

[Tool]
Got 1 row and 3 columns:
| item                                      | label                            | date                                |
| ----------------------------------------- | -------------------------------- | ----------------------------------- |
| 1989 Loma Prieta earthquake (wd:Q1053476) | 1989 Loma Prieta earthquake (en) | 1989-10-17T00:00:00Z (xsd:dateTime) |

[Assistant] Both main San Francisco earthquakes have dates: 1906-04-18 and 1989-10-17. The user asked "when did the san francisco earthquake occur?" They didn't specify which event. I should ask a clarifying question, but per instructions I must produce a SPARQL query to answer. Better: return both major events labeled as "San Francisco earthquake" or with that alias. Previously my search timed out with a broad query; instead I'll query for events that have "San Francisco" in their label or aliases and are instances of earthquake, returning item and date. I'll run a targeted query matching labels containing "San Francisco" and P31 earthquake.

[Tool]
SPARQL execution failed:
HTTPConnectionPool(host='localhost', port=7001): Read timed out. (read timeout=30)

[Assistant] I'll run a final SPARQL query that returns the two main Wikidata items commonly referred to as the San Francisco earthquakes (1906 and 1989) and their dates. I'll use a VALUES clause to ensure the query is fast and returns the exact items and their P585 (point in time) values.

[Tool]
Got 2 rows and 3 columns:
| item                                       | itemLabel                          | date                                |
| ------------------------------------------ | ---------------------------------- | ----------------------------------- |
| 1906 San Francisco earthquake (wd:Q211386) | 1906 San Francisco earthquake (en) | 1906-04-18T00:00:00Z (xsd:dateTime) |
| 1989 Loma Prieta earthquake (wd:Q1053476)  | 1989 Loma Prieta earthquake (en)   | 1989-10-17T00:00:00Z (xsd:dateTime) |

[Assistant] I will provide the final SPARQL query and the answer: the 1906 San Francisco earthquake occurred on 18 April 1906; the 1989 Loma Prieta earthquake (often called the 1989 San Francisco earthquake) occurred on 17 October 1989. Now I'll send the final result.

[Tool] Stopping


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?placeOfBirth ?placeOfBirthLabel ?country ?countryLabel WHERE {
  wd:Q13603754 wdt:P27 ?country .
  OPTIONAL {
    wd:Q13603754 wdt:P19 ?placeOfBirth .
  }
  OPTIONAL {
    ?placeOfBirth rdfs:label ?placeOfBirthLabel FILTER ( LANG( ?placeOfBirthLabel ) = "en" )
  }
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( LANG( ?countryLabel ) = "en" )
  }
}

Using entities:
Robert Irvine (wd:Q13603754), also known as Robert Paul Irvine

Using properties:
place of birth (wd:P19 as wdt), also known as birth city, birth location, birth place, birthplace, born, etc.
country of citizenship (wd:P27 as wdt), also known as citizen of, citizenship, country, (legal) nationality, nation, etc.

Answer: Robert Irvine (wd:Q13603754) was born in Salisbury (wd:Q160642) and his country of citizenship is the United Kingdom (wd:Q145).

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] where does robert irvine come from?

[Assistant] Step 1: I'll search for the entity "Robert Irvine" in Wikidata to find the correct item (there may be multiple people with that name). I'll run a search for the entity.

[Tool]
Top 10 entity alternatives:
1. Robert Irvine (wd:Q29561444): has occupation association football player / has occupation soccer player / association football player / is instance of human
2. Bobby Irvine (wd:Q4935169, matched via Robert Irvine), also known as Robert Irvine, Robert James Irvine: Northern Irish association footballer (born 1942) / has occupation association football player / has occupation soccer player / is instance of human
3. Robert Irvine (wd:Q13603754), also known as Robert Paul Irvine: British celebrity chef / is instance of human / has occupation chef
4. Robert Irvine (wd:Q7345808): New Zealand rugby league footballer / has occupation rugby league player / is instance of human
5. Irvine, Robert (wd:Q94829234): entry in Alumni Oxonienses: the Members of the University of Oxford, 1715-1886 / is instance of biographical article
6. Robert Irvine (wd:Q112449704): has occupation musician / is instance of human
7. Robert Irvine (wd:Q18576922): is instance of human / Scottish Royalist
8. Robert Irvine (wd:Q93942944): is instance of scholarly article / is instance of academic article
9. Robert Irvine (wd:Q76346164): Peerage person ID=703910 / is instance of human
10. Robert Irvine (wd:Q76037914): Peerage person ID=485894 / is instance of human

[Assistant] I'll look up the Wikidata item for Robert Irvine (the celebrity chef) and get his place of birth and country of citizenship properties. I'll first list triples for wd:Q13603754 to find relevant properties like P19 (place of birth) and P27 (country of citizenship).

[Tool]
Got 186 rows and 3 columns, showing the first 10 rows below:
| subject                      | property                         | object                                                                          |
| ---------------------------- | -------------------------------- | ------------------------------------------------------------------------------- |
| Robert Irvine (wd:Q13603754) | instance of (wdt:P31)            | human (wd:Q5)                                                                   |
| Robert Irvine (wd:Q13603754) | occupation (wdt:P106)            | chef (wd:Q3499072)                                                              |
| Robert Irvine (wd:Q13603754) | sex or gender (wdt:P21)          | male (wd:Q6581097)                                                              |
| Robert Irvine (wd:Q13603754) | given name (wdt:P735)            | Robert (wd:Q4927937)                                                            |
| Robert Irvine (wd:Q13603754) | date of birth (wdt:P569)         | 1965-09-24T00:00:00Z (xsd:dateTime)                                             |
| Robert Irvine (wd:Q13603754) | Commons category (wdt:P373)      | Robert Irvine                                                                   |
| Robert Irvine (wd:Q13603754) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Chef%20Robert%20Irvine.jpg> |
| Robert Irvine (wd:Q13603754) | family name (wdt:P734)           | Irvine (wd:Q29477197)                                                           |
| Robert Irvine (wd:Q13603754) | country of citizenship (wdt:P27) | United Kingdom (wd:Q145)                                                        |
| Robert Irvine (wd:Q13603754) | Freebase ID (wdt:P646)           | /m/0272y2y                                                                      |
| ...                          | ...                              | ...                                                                             |

[Assistant] Now I'll run a SPARQL query on Wikidata for Robert Irvine (wd:Q13603754) to get his place of birth (P19) and country of citizenship (P27), returning the IRIs and English labels (labels are optional).

[Tool]
Got 1 row and 4 columns:
| placeOfBirth           | placeOfBirthLabel | country                  | countryLabel        |
| ---------------------- | ----------------- | ------------------------ | ------------------- |
| Salisbury (wd:Q160642) | Salisbury (en)    | United Kingdom (wd:Q145) | United Kingdom (en) |

[Assistant] I'll now provide the final SPARQL query (which I already tested) and the concise answer. Below I recap the steps, show the final query, and give the answer.

[Tool] Stopping


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?hq ?hqLabel ?country ?countryLabel WHERE {
  wd:Q505922 wdt:P159 ?hq .
  OPTIONAL {
    wd:Q505922 wdt:P17 ?country .
  }
  OPTIONAL {
    ?hq rdfs:label ?hqLabel .
    FILTER ( LANG( ?hqLabel ) = "en" )
  }
  OPTIONAL {
    ?country rdfs:label ?countryLabel .
    FILTER ( LANG( ?countryLabel ) = "en" )
  }
}

Using entities:
Electrolux (wd:Q505922), also known as AB Electrolux

Using properties:
headquarters location (wd:P159 as wdt), also known as admin HQ, based in, garrison, head office location, head quarters, etc.
country (wd:P17 as wdt), also known as host country, land, sovereign state, state, P17

Answer: Electrolux (wd:Q505922) is based in Stockholm (headquarters: wd:Q1754), Sweden (country: wd:Q34).

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] where is electrolux based?

[Assistant] I will first search Wikidata for the entity matching "Electrolux" to find its Q-id. Then I will inspect its properties to find the property that indicates where it's based (likely "headquarters location" P159). I'll run a search for the entity now.

[Tool]
Top 10 entity alternatives:
1. Electrolux (wd:Q505922), also known as AB Electrolux: Swedish multinational manufacturer and marketer of home appliances / Swedish multinational manufacturer and marketer of home appliances / a multinational appliance manufacturer / a multinational appliance manufacturer / is instance of public company / is instance of enterprise / is instance of business
2. Electrolux (wd:Q2923843): is instance of taxon / genus of fishes
3. ELECTROLUX (wd:Q58218446), also known as ELECTROLUX, s.r.o.: is instance of enterprise / is instance of business / Czech company
4. Electrolux addisoni (wd:Q2387882): is subclass of electric fish / is instance of taxon / species of fish
5. Electrolux Assistent (wd:Q17496378), also known as Electrolux Ankarsrum Assistent: stand mixer introduced by Electrolux in 1940 / is instance of mixer
6. Electrolux Trilobite (wd:Q5358060): first commercially available robotic vacuum cleaner / is subclass of robotic vacuum cleaner
7. Electrolux (Italy) (wd:Q106045223), also known as Electrolux Italia S.p.A., Electrolux Rex: is instance of public company / is instance of enterprise / is instance of business
8. Electrolux Professional (wd:Q109974149): Swedish professional appliance manufacturer / is instance of company
9. Lux Norge AS (wd:Q15729564, matched via Electrolux AS), also known as Electrolux AS, Electrolux-Euroclean AS, Electrolux Rengjøringsmaskiner AS: is instance of business
10. Electrolux F.C. (wd:Q96377107): is instance of association football club / is instance of soccer club / football club

[Assistant] Next I'll run a SPARQL query on Wikidata for Electrolux (wd:Q505922) to retrieve its headquarters location (property P159) and its country (property P17). I'll request the IRIs and English labels for those items.

[Tool]
Got 1 row and 4 columns:
| hq                   | hqLabel        | country         | countryLabel |
| -------------------- | -------------- | --------------- | ------------ |
| Stockholm (wd:Q1754) | Stockholm (en) | Sweden (wd:Q34) | Sweden (en)  |

[Assistant]
Recap of my steps and results:
- I searched Wikidata for the entity matching "Electrolux" and found Electrolux = wd:Q505922.
- I queried wd:Q505922 for its headquarters (property P159) and country (property P17).
- The SPARQL query returned headquarters = Stockholm (wd:Q1754) and country = Sweden (wd:Q34).

I'll now provide the final SPARQL query I executed and the concise answer.

[Tool] Stopping