PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?spouse WHERE {
  fb:m.02pn7 fb:people.person.spouse_s ?spouse
}

Got 2 rows and 1 column:
| spouse        |
| ------------- |
| fb:m.012zbnxz |
| fb:m.0130wv8p |

The knowledge graph lists two spouses for Esther with identifiers fb:m.012zbnxz and fb:m.0130wv8p, but their names or labels are not available. There are no equivalence or alias links to King Ahasuerus or Xerxes I. Traditionally, Esther's husband is known as King Ahasuerus, identified with Xerxes I of Persia. However, the knowledge graph does not explicitly link Esther to her husband by name or label.

[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:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

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

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

[User] who was esther's husband?

[Assistant] The question "Who was Esther's husband?" likely refers to the biblical figure Esther. To answer this, I will first search for the entity "Esther" in the Freebase knowledge graph to identify the correct entity. Then, I will look for properties related to "husband" or "spouse" for that entity to find the answer.

[Tool]
Top 10 entity alternatives:
1. Madonna, also known as Nonnie, Madonna Ciccone Ritchie, Madonna Louise Ciccone, Madonna Louise Ciccone Ritchie, Madonna Louise Veronica Ciccone (fb:m.01vs_v8): Madonna Louise Ciccone is an American singer, songwriter, actres...mmy Award winners Ray of Light and Confessions on a Dance Floor., has type Celebrity
2. Orphan, also known as Siroce, Órfã, Sierota, Ottolapsi, Orphan - Das Waisenkind (fb:m.047trvs): Orphan is a 2009 American psychological thriller film directed b...reviews, although Fuhrman's performance as Esther was acclaimed., has type Film
3. Esther (fb:m.02pn7): Esther, born Hadassah, is the eponymous heroine of the Book of E...y is the basis for the celebration of Purim in Jewish tradition., has type Art Subject
4. Esther Cañadas, also known as Esther, esther_canadas, Esther Canadas (fb:m.09h0bt): Esther Cañadas is a Spanish actress and model., has type Film actor
5. Esther, also known as Die Bibel - Esther, The Bible: Esther, Raamattu: Ester, Prigipissa Esthir, I Vivlos - Esthir (fb:m.0bwgtxf): Esther, also known as The Bible: Esther, is a 1999 American-Ital...ti as Vashti. It aired in the United States on November 5, 2000., has type Film
6. Esther, also known as Esther Adam (fb:m.0qb5mjj): has type Musical Artist
7. Chan Ye-cheng, also known as Esther Wong, Yee-Gan Chan, Ye-cheng Chan, Esther, Chan Ye Cheng (fb:m.0jz54f): Chan Ye-cheng is a film producer and the wife of director Wong Kar-wai., has type Film producer
8. Esther, also known as HWV.50 (fb:m.0dqcw7): Esther is an oratorio by George Frideric Handel. It is generally...d in 1718, but was heavily revised into a full oratorio in 1732., has type Composition
9. Esther (fb:m.03ckgxs): Esther is a play in three acts written in 1689 by the French dra...d to Racine's 1691 biblical play written for Maintenon, Athalie., has type Play
10. Esther... The Girl Who Became Queen, also known as Esther, Esther, the Girl Who Became Queen, Esther... The Girl Who Became Queen (fb:m.06z3_j7): A VeggieTales of Queen Esther and her struggle to save her peopl... the Island of Perpetual Tickling (IPT) by her husband the king., has type TV Episode

[Assistant] The most relevant entity for "Esther" in the context of the biblical figure is fb:m.02pn7, which is described as "Esther, born Hadassah, is the eponymous heroine of the Book of Esther." I will now search for properties related to "husband" or "spouse" for this entity to find the answer to who was Esther's husband.

[Tool]
Top 10 property alternatives:
1. Spouse (or domestic partner) (fb:people.person.spouse_s): links to type Marriage, part of Person schema
2. Name (fb:type.object.name): part of Object schema, links to type Text
3. Gender (fb:people.person.gender): part of Person schema, links to type Gender
4. Image (fb:common.topic.image): part of Topic schema, links to type Image
5. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
6. Key (fb:type.object.key): part of Object schema, links to type Key
7. Religion (fb:people.person.religion): links to type Religion, part of Person schema
8. Type (fb:type.object.type): part of Object schema, links to type Type
9. Description (fb:common.topic.description): part of Topic schema, links to type Text
10. Also known as (fb:common.topic.alias): part of Topic schema, links to type Text

No other items found

[Assistant] The property "Spouse (or domestic partner)" (fb:people.person.spouse_s) is the relevant property for finding Esther's husband. I will now query the knowledge graph to find the spouse of Esther (fb:m.02pn7) using this property.

[Tool]
Got 2 rows and 2 columns:
| spouse        | spouseName |
| ------------- | ---------- |
| fb:m.012zbnxz |            |
| fb:m.0130wv8p |            |

[Assistant] Esther has two spouses listed in the knowledge graph with the identifiers fb:m.012zbnxz and fb:m.0130wv8p, but their names are not directly provided in the query results. I will now try to get the names of these spouses by querying their names separately.

[Tool] Got no rows and 2 columns

[Assistant] The names of the spouses with identifiers fb:m.012zbnxz and fb:m.0130wv8p are not directly available in the knowledge graph. I will try to get more information about these spouses by querying other properties such as description or alias to identify who Esther's husband is.

[Tool] Got no rows and 3 columns

[Assistant] There is no additional descriptive information or aliases available for the spouses of Esther in the knowledge graph. Given the biblical context, Esther's husband is traditionally known as King Ahasuerus (Xerxes I). I will now search for the entity "Ahasuerus" or "Xerxes I" to confirm if one of these entities matches the spouse identifiers we found.

[Tool]
Top 10 entity alternatives:
1. Ahasuerus (fb:m.0hy00): Ahasuerus is a name used several times in the Hebrew Bible, as w...uncertainly to a Babylonian official noted in the Book of Tobit., has type Art Subject
2. Ahasuerus Fromanteel (fb:m.0knvq4t): Ahasuerus Fromanteel was a clockmaker, the first maker of pendulum clocks in Britain., has type Deceased Person
3. King Ahasuerus (fb:m.0wytr6n): King Ahasuerus is a fictional representation of the biblical figure of the same name., King Ahasuerus is a fictional character from the 2006 film Esther and the King., has type Film character
4. Esther and Ahasuerus, also known as Esther before Ahasuerus (fb:m.04_2_tx): Esther and Ahasuerus is a painting by Italian Baroque painter Ar...of the collection of the Metropolitan Museum of Art in New York., has type Artwork
5. Anthony Ahasuerus Sweys (fb:m.02hgyj9): has type Olympic athlete
6. The death of Ahasuerus (fb:m.0b3jqtp): has type Book Edition
7. The death of Ahasuerus (fb:m.0695bd1): has type Book
8. The impiety of Ahasuerus (fb:m.0brb9df): has type Book
9. Artemisia Gentileschi's Esther Before Ahasuerus (c. 1628-1630s) (fb:m.05n1t1x)
10. Ahasuerus and Haman at the Feast of Esther, also known as Ahasuerus and Haman at the feast of Esther (fb:m.03cp5f3): The painting Ahasveros and Haman at the Feast of Esther is one o...ting can be traced back to 1662, two years after its completion., has type Artwork

[Tool]
Top 10 entity alternatives:
1. Xerxes I, also known as Xerxes the Great (fb:m.0cjm1): Xerxes I of Persia, also known as Xerxes the Great, was the four...ian king identified as Ahasuerus in the biblical Book of Esther., has type Monarch
2. Xerxes I (fb:m.0zkdtwh): has type Musical Recording
3. Xerxes I (fb:m.0zkz1qx)
4. Xerxes I (fb:m.07qh_vh)
5. Xerxes Ilagan, also known as Xerxes ilagan (fb:m.0py2z9f): has type Person
6. xerxes i.noun.01 (fb:m.07qh_v1)
7. Xerxes, also known as King Xerxes of Persia, Xerxes I of Persia (fb:m.0gkd1kw): Xerxes is a fictional character from the film series 300 and the 2008 film Meet the Spartans., Xerxes is a fictional character from the book Gates of Fire., has type Film character
8. Xerxes Invades Greece (fb:m.06lkp2w): has type Book
9. Xerxes II of Persia (fb:m.0cjmk): Xerxes II was a Persian king and the son and successor of Artaxe...edia, Babylonia and Egypt. Xerxes II only ruled forty five days., has type Monarch
10. Xerxes in Full Score (fb:m.06mzjmq): has type Book

[Assistant] The entity "Xerxes I of Persia" (fb:m.0cjm1) is identified as the Persian king known as Ahasuerus in the biblical Book of Esther. I will now check if this entity matches one of the spouse identifiers we found for Esther.

[Tool] False

[Assistant] The entity Xerxes I of Persia (fb:m.0cjm1) is not directly linked as a spouse to Esther (fb:m.02pn7) in the knowledge graph. However, given the biblical context and common knowledge, Esther's husband is traditionally known as King Ahasuerus, identified with Xerxes I. I will provide this as the answer since the knowledge graph does not explicitly link Esther to her husband by name.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves Esther's spouses from the knowledge graph, returning two entities as spouses. However, the answer does not specify who these spouses are by name or label, which would be helpful for clarity. It would be better to include optional retrieval of the spouse's name or label in the query to provide a more informative answer. Additionally, the answer should mention that the knowledge graph lists two spouses, and clarify which one corresponds to King Ahasuerus or Xerxes I if possible. This would improve the completeness and usefulness of the answer.

[Assistant] Thank you for the feedback. I will improve the SPARQL query to include optional retrieval of the spouse's name or label for better clarity. I will also mention in the answer that the knowledge graph lists two spouses for Esther and clarify the traditional identification of King Ahasuerus with Xerxes I if possible. I will now refine the query and answer accordingly.

[Tool]
Got 2 rows and 2 columns:
| spouse        | spouseName |
| ------------- | ---------- |
| fb:m.012zbnxz |            |
| fb:m.0130wv8p |            |

[Assistant] The refined query still returns two spouses for Esther with identifiers fb:m.012zbnxz and fb:m.0130wv8p, but their names are not available in the knowledge graph. I will now try to get labels (rdfs:label) for these spouses as an alternative to names.

[Tool]
Got 2 rows and 2 columns:
| spouse        | label |
| ------------- | ----- |
| fb:m.012zbnxz |       |
| fb:m.0130wv8p |       |

[Assistant] The labels for the spouses of Esther are also not available in the knowledge graph. Given this limitation, I will provide an answer that mentions the two spouse entities linked to Esther and clarify the traditional identification of King Ahasuerus with Xerxes I, noting that the knowledge graph does not provide explicit names or labels for these spouses.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves the spouse identifiers for Esther from the knowledge graph. However, the answer lacks the actual names or labels of these spouses, which would be more informative for the user. The query should be refined to also retrieve the rdfs:label or another suitable property for the spouses to provide human-readable names. Additionally, it would be helpful to clarify if these identifiers correspond to King Ahasuerus or Xerxes I, if that information is available in the knowledge graph. This would make the answer more complete and user-friendly.

[Assistant] Thank you for the feedback. I will refine the SPARQL query to explicitly retrieve the rdfs:label or fb:type.object.name for the spouses of Esther to provide human-readable names. I will also check if either of these spouse identifiers corresponds to King Ahasuerus or Xerxes I by checking for equivalence or alias properties. This will help clarify which spouse is traditionally known as King Ahasuerus/Xerxes I. I will now proceed with these steps.

[Tool]
Got 2 rows and 3 columns:
| spouse        | name | label |
| ------------- | ---- | ----- |
| fb:m.012zbnxz |      |       |
| fb:m.0130wv8p |      |       |

[Assistant] The query still does not return names or labels for the spouses of Esther. I will now check if either of these spouse entities (fb:m.012zbnxz, fb:m.0130wv8p) is equivalent to or has an alias related to King Ahasuerus or Xerxes I by querying equivalence or alias properties.

[Tool]
Got 2 rows and 3 columns:
| spouse        | equivalent | alias |
| ------------- | ---------- | ----- |
| fb:m.012zbnxz |            |       |
| fb:m.0130wv8p |            |       |

[Assistant] There are no equivalence or alias properties linking the spouse entities of Esther to King Ahasuerus or Xerxes I in the knowledge graph. Given this, I will provide an answer that mentions the two spouse entities linked to Esther without names or labels and clarify the traditional identification of King Ahasuerus with Xerxes I, noting the lack of explicit naming in the knowledge graph.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?school ?schoolLabel WHERE {
  fb:m.02z3d24 fb:people.person.education ?education .
  ?education fb:education.education.institution ?school .
  OPTIONAL {
    ?school rdfs:label ?schoolLabel .
    FILTER ( LANG( ?schoolLabel ) = "en" )
  }
}

Spencer Pratt went to the University of Southern California.

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

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

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
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 spencer pratt go to school?

[Assistant]
To answer the question "Where did Spencer Pratt go to school?" I need to identify the entity for Spencer Pratt in the Freebase knowledge graph and then find the property related to the school or education he attended.

Step 1: Search for the entity "Spencer Pratt" in Freebase.

[Tool]
Top 10 entity alternatives:
1. Spencer Pratt, also known as Spencer William Pratt (fb:m.02z3d24): Spencer William Pratt is an American television personality. In ...Apostol discuss current events, reality TV, and their own lives., has type Celebrity
2. Spencer Pratt (fb:m.0br79xp): has type Author
3. Spencer Charles Pratt (fb:m.0qgyd70): Spencer Charles Pratt was a lawyer., has type Deceased Person
4. Spencer Pratt 2009 (fb:m.05td0_c)
5. Amanda Beard/Heidi & Spencer Pratt, also known as Amanda Beard/Heidi & Spencer Pratt (fb:m.011cwr20): Olympian Amanda Beard switches places with reality-TV star Heidi Pratt., has type TV Episode
6. Keanu Reeves, Heidi & Spencer Pratt (fb:m.0dkkynt): has type TV Episode
7. Heidi and Spencer Pratt must stop (fb:m.08vp1r3)
8. Carrie Underwood, Heidi Montag & Spencer Pratt, also known as Carrie Underwood, Heidi Montag & Spencer Pratt (fb:m.07yr7vk): has type TV Episode
9. Whoopi Goldberg , Spencer Pratt, Nick Griffin (fb:m.06y74n5): has type TV Episode
10. Heidi Montag and Spencer Pratt get hitched (fb:m.09wrvdm)

[Assistant] The most relevant entity for Spencer Pratt is fb:m.02z3d24, which corresponds to Spencer William Pratt, an American television personality. Next, I will search for properties related to education or school for this entity.

[Tool]
Top 10 property alternatives:
1. Education (fb:people.person.education): links to type Education, part of Person schema
2. Religion (fb:people.person.religion): links to type Religion, part of Person schema
3. Key (fb:type.object.key): part of Object schema, links to type Key
4. Description (fb:common.topic.description): part of Topic schema, links to type Text
5. Name (fb:type.object.name): part of Object schema, links to type Text
6. Gender (fb:people.person.gender): part of Person schema, links to type Gender
7. Official website (fb:common.topic.official_website): part of Topic schema, links to type URI
8. Type (fb:type.object.type): part of Object schema, links to type Type
9. Article (fb:common.topic.article): links to type Document, part of Topic schema
10. Profession (fb:people.person.profession): links to type Profession, part of Person schema

No other items found

[Assistant] The property "Education" (fb:people.person.education) is relevant for finding the school Spencer Pratt attended. I will now query the education information for Spencer Pratt using this property.

[Tool]
Got 1 row and 2 columns:
| education    | educationLabel |
| ------------ | -------------- |
| fb:m.0n1cn_d |                |

[Tool] Got no rows and 1 columns

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                         | object                                           |
| ------------ | ------------------------------------------------ | ------------------------------------------------ |
| fb:m.0n1cn_d | Type (fb:type.object.type)                       | Education (fb:education.education)               |
| fb:m.0n1cn_d | Institution (fb:education.education.institution) | University of Southern California (fb:m.065y4w7) |
| fb:m.0n1cn_d | Student (fb:education.education.student)         | Spencer Pratt (fb:m.02z3d24)                     |
| fb:m.0n1cn_d | rdf:type                                         | Education (fb:education.education)               |

[Tool]
Got 1 row and 2 columns:
| school                                           | schoolLabel                            |
| ------------------------------------------------ | -------------------------------------- |
| University of Southern California (fb:m.065y4w7) | University of Southern California (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the educational institution associated with Spencer Pratt using the appropriate properties from the Freebase knowledge graph. The query returns the identifier and the English label of the school, which matches the user's question. The answer is accurate and complete, stating that Spencer Pratt went to the University of Southern California. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?award ?category ?year WHERE {
  VALUES ?award {
    fb:m.04yplbb fb:m.07ynmx5 fb:m.0c1rc79 fb:m.0m20gt1 fb:m.0my31c4
  }
  ?award fb:award.award_honor.award ?category .
  ?award fb:award.award_honor.year ?year .
}

Got 5 rows and 3 columns:
| award        | category                                                                          | year                     |
| ------------ | --------------------------------------------------------------------------------- | ------------------------ |
| fb:m.04yplbb | Playboy Playmate (fb:m.02kgb7)                                                    | 1953-12 (xsd:gYearMonth) |
| fb:m.07ynmx5 | Golden Globe Award for Best Actr...tion Picture – Musical or Comedy (fb:m.019f6s) | 1959 (xsd:gYear)         |
| fb:m.0c1rc79 | David di Donatello Golden Plate Award (fb:m.0c1fs8r)                              | 1958 (xsd:gYear)         |
| fb:m.0m20gt1 | Golden Globe Henrietta Award for World Film Favorites (fb:m.0l_d69j)              | 1953 (xsd:gYear)         |
| fb:m.0my31c4 | Golden Globe Henrietta Award for World Film Favorites (fb:m.0l_d69j)              | 1961 (xsd:gYear)         |

Marilyn Monroe won the following awards: Playboy Playmate in December 1953, Golden Globe Award for Best Actress in a Motion Picture – Musical or Comedy in 1959, David di Donatello Golden Plate Award in 1958, and Golden Globe Henrietta Award for World Film Favorites in 1953 and 1961.

[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:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
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 awards did marilyn monroe won?

[Assistant] To answer the question about the awards won by Marilyn Monroe, I will first search for the entity "Marilyn Monroe" in the Freebase knowledge graph to get her unique identifier. Then, I will look for properties related to awards associated with her. Finally, I will construct a SPARQL query to retrieve the awards she has won. Let's start by searching for the entity "Marilyn Monroe."

[Tool]
Top 10 entity alternatives:
1. Marilyn Monroe, also known as Norma Jeane Mortensen, Norma Jeane Baker, Norma Jeane DiMaggio, Norma Jeane Dougherty, Norma Jeane Mortenson (fb:m.04wqr): Marilyn Monroe was an American actress, model, and singer, who b...ved a BAFTA Award nomination and won a David di Donatello award., Marilyn Monroe (born Norma Jeane Mortenson; June 1, 1926 – Augus...which led to a film contract in 1946 with Twentieth Century-Fox., has type Celebrity
2. Marilyn Monroe (fb:m.0vrt45): has type Musical Recording
3. Cherie Chung, also known as Chuhong Zhong, 钟楚红, 鍾楚紅, Zhōng Chǔhóng, The "Marilyn Monroe" of Hong Kong (fb:m.0gk05n): Cherie Chung Chor-hung is a retired Hong Kong film actress. She ... be "child-free". On 24 August 2007, Chu died of stomach cancer., has type Film actor
4. Fake Marilyn Monroe, also known as The Actress, Marilyn Monroe (fb:m.040c1zc): Fake Marilyn Monroe is a fictional character for the 2011 television movie Wonder Woman, Marilyn Monroe is a fictional character from the 1989 film Goodnight, Sweet Marilyn., Marilyn Monroe is a fictional character from the 2014 film Dear Eleanor., Marilyn Monroe as she is represented in fiction., has type Film character
5. Marilyn Monroe (fb:m.0_yglvr): "Marilyn Monroe" is a song by American singer-songwriter Pharrel...tring intro was written by American violinist Ann Marie Calhoun., has type Composition
6. Arline Hunter, also known as Marilyn Monroe, Arlene Hunter (fb:m.0czskx): Arline Hunter, is an American actress and model. She is perhaps ...h fellow bombshell Mamie Van Doren in Sex Kittens Go to College., has type Award Winner
7. Marilyn Monroe, also known as Marilyn Monroe (radio edit) (fb:m.0111s2hg): has type Musical Recording
8. Marilyn Monroe (fb:m.0jwxtkl): "Marilyn Monroe" is a song by American recording artist Nicki Mi...onroe" to chart on the UK Singles Chart and US Billboard charts., has type Composition
9. Marilyn Monroe (fb:m.0fck1_5): has type Consumer product
10. Marilyn Monroe (fb:m.023q0p6): has type Musical Release

[Assistant] The entity "Marilyn Monroe" with the identifier fb:m.04wqr corresponds to the American actress, model, and singer Marilyn Monroe. Now, I will search for properties related to awards for this entity to identify how awards are represented in the knowledge graph.

[Tool]
Top 10 property alternatives:
1. Awards Won (fb:award.award_winner.awards_won): part of Award Winner schema, links to type Award Honor
2. Award Nominations (fb:award.award_nominee.award_nominations): links to type Award Nomination, part of Award Nominee schema
3. Key (fb:type.object.key): part of Object schema, links to type Key
4. Member of (fb:music.group_member.membership): links to type Musical Group Membership, part of Musician schema
5. Country of nationality (fb:people.person.nationality): part of Person schema, links to type Country
6. Name (fb:type.object.name): part of Object schema, links to type Text
7. Image (fb:common.topic.image): part of Topic schema, links to type Image
8. Place of birth (fb:people.person.place_of_birth): links to type Location, part of Person schema
9. Profession (fb:people.person.profession): links to type Profession, part of Person schema
10. Article (fb:common.topic.article): links to type Document, part of Topic schema

No other items found

[Assistant] The property "Awards Won" (fb:award.award_winner.awards_won) is relevant for retrieving the awards Marilyn Monroe has won. I will now construct a SPARQL query to get the awards won by Marilyn Monroe using this property. I will also try to get the labels of the awards for better readability.

[Tool]
Got 5 rows and 2 columns:
| award        | awardLabel |
| ------------ | ---------- |
| fb:m.04yplbb |            |
| fb:m.07ynmx5 |            |
| fb:m.0c1rc79 |            |
| fb:m.0m20gt1 |            |
| fb:m.0my31c4 |            |

[Assistant] The query returned 5 awards won by Marilyn Monroe, but the labels for these awards are missing. To improve the query, I will try to retrieve the labels using a different property for labels or try to get the name of the awards using the property fb:type.object.name. I will update the query accordingly and execute it again.

[Tool]
Got 5 rows and 2 columns:
| award        | awardName |
| ------------ | --------- |
| fb:m.04yplbb |           |
| fb:m.07ynmx5 |           |
| fb:m.0c1rc79 |           |
| fb:m.0m20gt1 |           |
| fb:m.0my31c4 |           |

[Assistant] The updated query still did not return the names or labels of the awards. It seems the awards do not have English names or labels directly available in the knowledge graph. I will now try to get more information about these awards by querying their types and any other descriptive properties that might help identify them. I will do this for one award first to check what information is available.

[Tool]
Got 5 rows and 3 columns:
| property                                         | propertyLabel       | value                              |
| ------------------------------------------------ | ------------------- | ---------------------------------- |
| Award category (fb:award.award_honor.award)      | Award category (en) | Playboy Playmate (fb:m.02kgb7)     |
| Award winner (fb:award.award_honor.award_winner) | Award winner (en)   | Marilyn Monroe (fb:m.04wqr)        |
| Year (fb:award.award_honor.year)                 | Year (en)           | 1953-12 (xsd:gYearMonth)           |
| Type (fb:type.object.type)                       | Type (en)           | Award Honor (fb:award.award_honor) |
| rdf:type                                         |                     | Award Honor (fb:award.award_honor) |

[Assistant] The award fb:m.04yplbb is an "Award Honor" with the category "Playboy Playmate" and it was awarded to Marilyn Monroe in December 1953. This gives us some information about one of the awards. I will now try to get similar information for the other awards to provide a comprehensive list of awards won by Marilyn Monroe. I will query the properties and values for the other awards as well.

[Tool]
Got 5 rows and 3 columns:
| award        | category                                                                          | year                     |
| ------------ | --------------------------------------------------------------------------------- | ------------------------ |
| fb:m.04yplbb | Playboy Playmate (fb:m.02kgb7)                                                    | 1953-12 (xsd:gYearMonth) |
| fb:m.07ynmx5 | Golden Globe Award for Best Actr...tion Picture – Musical or Comedy (fb:m.019f6s) | 1959 (xsd:gYear)         |
| fb:m.0c1rc79 | David di Donatello Golden Plate Award (fb:m.0c1fs8r)                              | 1958 (xsd:gYear)         |
| fb:m.0m20gt1 | Golden Globe Henrietta Award for World Film Favorites (fb:m.0l_d69j)              | 1953 (xsd:gYear)         |
| fb:m.0my31c4 | Golden Globe Henrietta Award for World Film Favorites (fb:m.0l_d69j)              | 1961 (xsd:gYear)         |

[Assistant]
Marilyn Monroe won the following awards:
- Playboy Playmate in December 1953
- Golden Globe Award for Best Actress in a Motion Picture – Musical or Comedy in 1959
- David di Donatello Golden Plate Award in 1958
- Golden Globe Henrietta Award for World Film Favorites in 1953
- Golden Globe Henrietta Award for World Film Favorites in 1961

I will now provide this information as the final answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The answer correctly lists the awards Marilyn Monroe won along with the years, based on the SPARQL query results. The query retrieves the award identifiers, categories, and years, which matches the provided answer. The query uses appropriate properties and returns relevant results. The answer is complete and accurate for the user's question.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?name WHERE {
  fb:m.0lv02c7 fb:type.object.name ?name
}

Got 2 rows and 1 column:
| name                           |
| ------------------------------ |
| Canada: O Canada (mul)         |
| National Anthem of Canada (en) |

The widely recognized two-word name of the national anthem of Canada is 'O Canada'. Although the knowledge graph includes longer labels, 'O Canada' is the exact two-word name requested.

[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:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

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

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

[User] what is the name of the national anthem of canada ( 2 words )?

[Assistant] To answer the question about the name of the national anthem of Canada, I will first search for the entity representing Canada in the knowledge graph. Then, I will look for properties related to the national anthem of Canada. Finally, I will retrieve the name of the national anthem. Let's start by searching for the entity "Canada."

[Tool]
Top 10 entity alternatives:
1. Canada, also known as Canuckistan, Dominion of Canada (fb:m.0d060g): Canada is a country, consisting of ten provinces and three terri...of provinces and territories to the new self-governing Dominion., has type Country
2. Government of Canada, also known as Canadian government, Canada (fb:m.02wz7x): The Government of Canada, formally Her Majesty's Government, is ...urt rulings, and unwritten conventions developed over centuries., has type Government
3. Canada (fb:m.046v_0): Canada was the name of the French colony that once stretched alo...to Great Britain, the colony was renamed the Province of Quebec., has type Location
4. Rebecca Northan, also known as Global Late Night Players, Canada, Calgary, Alberta (fb:m.0frm_z): Rebecca Northan is a Canadian actress, improviser, theatre direc...ies The Foundation, directed by fellow Calgarian, Michael Dowse., has type Film actor
5. Canada (fb:m.01p2ys7): Canada is an American indie folk-pop music group from Ann Arbor,...ly used to mix portions of the second and third Star Wars films., has type Musical Group
6. Canada (fb:m.0kbgt8f): Canada is a 2012 novel by American author Richard Ford. The nove...Falls, Montana, a setting that Ford frequently uses in his work., Canada is a book written by Richard Ford., has type Book
7. Canada (fb:m.0rrnq3): has type Musical Recording
8. Canada (fb:m.03h_b59): has type Musical Group
9. Canada, Kentucky, also known as Canada, Kentucky, Canada (fb:m.0493ptt): Canada is an unincorporated community in Pike County, Kentucky. ...is located on U.S. Route 119, 13.8 miles northeast of Pikeville., has type City/Town/Village
10. Canada (fb:m.07w19x9): has type Book Edition

[Assistant] The entity representing the country Canada is fb:m.0d060g. Next, I will search for properties related to the national anthem of Canada for this entity.

[Tool]
Top 10 property alternatives:
1. National anthem (fb:location.country.national_anthem): links to type National anthem of a country, part of Country schema
2. Flag (fb:symbols.flag_referent.flag): part of Flag referent schema, links to type Flag use
3. Official Language (fb:location.country.official_language): links to type Human Language, part of Country schema
4. Coat of Arms used (fb:symbols.coat_of_arms_bearer.coat_of_arms_used): part of Coat of Arms Bearer schema, links to type Armorial Grant
5. Key (fb:type.object.key): part of Object schema, links to type Key
6. Government (fb:government.governmental_jurisdiction.government): part of Governmental Jurisdiction schema, links to type Government
7. entry (fb:user.tsegaran.random.taxonomy_subject.entry): part of Taxonomy Subject schema, links to type Taxonomy Entry
8. Armed forces (fb:military.military_combatant.armed_forces): part of Military Combatant schema, links to type Armed Force
9. Image (fb:common.topic.image): part of Topic schema, links to type Image
10. Religions (fb:location.statistical_region.religions): links to type Religion percentage, part of Statistical region schema

No other items found

[Assistant] The property for the national anthem of a country is fb:location.country.national_anthem. Now I will query the national anthem of Canada using this property.

[Tool] Got no rows and 2 columns

[Assistant] The query did not return any results for the national anthem of Canada using the property fb:location.country.national_anthem. I will try to find the national anthem of Canada by searching for the anthem entity with the keyword "Canada national anthem" to see if it exists as a separate entity.

[Tool]
Top 10 entity alternatives:
1. Canada: O Canada, also known as National Anthem of Canada (fb:m.0y74r3): has type Musical Recording
2. National Anthem of Canada (fb:m.0lv02c7)
3. Anthems and nationalistic songs of Canada (fb:m.0jt4_9n): Patriotic music in Canada dates back over 200 years as a distinc...0 years. The earliest, "The Bold Canadian", was written in 1812.
4. God Save the Queen, also known as National Anthem, British National Anthem, God Save the King, Commonwealth anthem (fb:m.037kg): "God Save the Queen" is an anthem used in a number of Commonweal...lody is used for the patriotic song, "My Country, 'Tis of Thee"., has type Composition
5. National anthem (fb:m.01j2gd): A national anthem is a generally patriotic musical composition t...ratic pieces, while a handful of countries use a simple fanfare.
6. National Anthem (fb:government.national_anthem)
7. National Anthem (fb:m.0k2m1xv): "National Anthem" is a song recorded by American singer-songwrit... it fit together with the lyrical structure of the entire album., has type Composition
8. National Anthem (fb:m.02_5d4_): National anthems, past and present, of countries (past and prese...tion, you can also enter data about the composer, lyricist, etc.
9. National Anthem (fb:m.0n4lx17): has type Musical Recording
10. National Anthem (fb:m.0dx8jsg): has type Musical Release

[Assistant] There is an entity "Canada: O Canada" (fb:m.0y74r3) which is also known as the National Anthem of Canada. This matches the user's hint that the anthem name is two words. I will now retrieve the label of this entity to confirm the name.

[Tool]
Got 1 row and 1 column:
| name                  |
| --------------------- |
| Canada: O Canada (en) |

[Assistant] The label "Canada: O Canada" includes a prefix "Canada:". To get a cleaner name, I will try to get an alias or a more direct name for the anthem entity fb:m.0y74r3.

[Tool]
Got 29 rows and 3 columns, showing the first 10 rows below:
| subject                        | property                                                            | object                                                                  |
| ------------------------------ | ------------------------------------------------------------------- | ----------------------------------------------------------------------- |
| Canada: O Canada (fb:m.0y74r3) | Type (fb:type.object.type)                                          | Topic (fb:common.topic)                                                 |
| Canada: O Canada (fb:m.0y74r3) | Key (fb:type.object.key)                                            | /authority/musicbrainz/ce3c52be-efaa-4b8a-80ee-ae8779817c7f             |
| Canada: O Canada (fb:m.0y74r3) | Name (fb:type.object.name)                                          | Canada: O Canada (en)                                                   |
| Canada: O Canada (fb:m.0y74r3) | Topic equivalent webpage (fb:common.topic.topic_equivalent_webpage) | <http://musicbrainz.org/recording/ce3c52be-efaa-4b8a-80ee-ae8779817c7f> |
| Canada: O Canada (fb:m.0y74r3) | Notable for (fb:common.topic.notable_for)                           | fb:g.1255ljkzj                                                          |
| Canada: O Canada (fb:m.0y74r3) | Notable types (fb:common.topic.notable_types)                       | Musical Recording (fb:m.0kpv11)                                         |
| Canada: O Canada (fb:m.0y74r3) | Tracks (fb:music.recording.tracks)                                  | National Anthem of Canada (fb:m.0lv02c7)                                |
| Canada: O Canada (fb:m.0y74r3) | Recorded by (fb:music.recording.artist)                             | Seiji Ozawa (fb:m.01vyhhg)                                              |
| Canada: O Canada (fb:m.0y74r3) | Length (fb:music.recording.length)                                  | 74.0                                                                    |
| Canada: O Canada (fb:m.0y74r3) | Releases (fb:music.recording.releases)                              | National Anthems: Music of the World (fb:m.03b2j19)                     |
| ...                            | ...                                                                 | ...                                                                     |

[Assistant] The entity fb:m.0y74r3 has a property "Tracks" (fb:music.recording.tracks) linking to "National Anthem of Canada" (fb:m.0lv02c7). This might be a more direct entity for the anthem itself. I will check the label of fb:m.0lv02c7.

[Tool]
Got 1 row and 1 column:
| name                           |
| ------------------------------ |
| National Anthem of Canada (en) |

[Assistant] The label "National Anthem of Canada" is more descriptive but does not match the user's hint of two words. I will check if the anthem has an alternative or common name with two words. I will search for aliases or alternative names for this entity.

[Tool]
Got 2 rows and 3 columns:
| subject                                  | property                   | object                         |
| ---------------------------------------- | -------------------------- | ------------------------------ |
| National Anthem of Canada (fb:m.0lv02c7) | Name (fb:type.object.name) | Canada: O Canada (mul)         |
| National Anthem of Canada (fb:m.0lv02c7) | Name (fb:type.object.name) | National Anthem of Canada (en) |

[Assistant] The entity fb:m.0lv02c7 has an alternative name "Canada: O Canada" which is a multilingual name and includes "O Canada" which is two words. "O Canada" is the common name of the national anthem of Canada. I will finalize the answer with the name "O Canada" as the two-word name of the national anthem of Canada.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query retrieves the name of the national anthem of Canada but the result includes extra text 'Canada: ' and language tag '(mul)', which is not the clean name. The query should be refined to return only the anthem's name 'O Canada' without additional prefixes or language tags. Also, the FILTER clause is unnecessary if the entity is already the national anthem of Canada; simply retrieving the name property should suffice. Additionally, the query should ensure it returns the actual identifier or label cleanly, possibly using rdfs:label or ensuring the name is returned as a plain literal.

[Assistant] Thank you for the feedback. I will refine the SPARQL query to directly retrieve the rdfs:label of the national anthem entity fb:m.0lv02c7, filtering for English language labels, and return the clean name "O Canada" without any prefixes or language tags. This should give a clean and precise answer.

[Tool]
Got 1 row and 1 column:
| label                          |
| ------------------------------ |
| National Anthem of Canada (en) |

[Assistant] The rdfs:label for the entity fb:m.0lv02c7 is "National Anthem of Canada" which is not the two-word name "O Canada" we want. I will try to get the name property (fb:type.object.name) for this entity and filter for the two-word name "O Canada" to get a cleaner name.

[Tool]
Got 1 row and 1 column:
| name                   |
| ---------------------- |
| Canada: O Canada (mul) |

[Assistant] The name property still includes the prefix "Canada: " and language tag "(mul)". To get a clean name "O Canada", I will try to extract the substring after the colon and before the language tag using SPARQL string functions.

[Tool]
Got 1 row and 1 column:
| cleanName |
| --------- |

[Assistant] The attempt to extract the clean name "O Canada" using SPARQL string functions returned no result. This might be due to the specific formatting of the name literal. Since the knowledge graph does not provide a clean two-word label directly, I will provide the answer as "O Canada" based on the known common name of the national anthem of Canada, linked to the entity fb:m.0lv02c7. I will finalize the answer accordingly.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves names associated with the national anthem of Canada, but the results include labels that are not exactly the anthem's name as requested (two words). The answer should specifically return 'O Canada' as the name, which is the widely recognized two-word name of the anthem. The query could be refined to filter or select the exact name 'O Canada' or to exclude less relevant labels. Additionally, the answer should clarify that 'O Canada' is the two-word name requested by the user.

[Assistant] To refine the query and answer, I will explicitly filter the name property to return only the exact two-word name "O Canada" for the national anthem of Canada entity fb:m.0lv02c7. This will ensure the query result matches the user's request precisely.

[Tool] Got no rows and 1 columns

[Assistant] The exact name "O Canada" is not stored as a direct value for the name property of the national anthem entity. Since the knowledge graph does not have the exact two-word name "O Canada" as a direct label or name, I will provide the answer explicitly as "O Canada" based on the known common name of the national anthem of Canada.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?education ?educationLabel WHERE {
  fb:m.0d1b_ fb:people.person.education ?education .
  OPTIONAL {
    ?education fb:education.education.institution ?institution .
    ?institution rdfs:label ?educationLabel .
    FILTER ( LANG( ?educationLabel ) = "en" )
  }
}

Got 4 rows and 2 columns:
| education    | educationLabel                                   |
| ------------ | ------------------------------------------------ |
| fb:m.0467r_k | Julian Pino School (en)                          |
| fb:m.0467s06 | Daniel Florencio O'Leary School (en)             |
| fb:m.0467s0w | Bolivarian Military University of Venezuela (en) |
| fb:m.0467s1m | Simón Bolívar University (en)                    |

Hugo Chavez went to the following schools: Julian Pino School, Daniel Florencio O'Leary School, Bolivarian Military University of Venezuela, and Simón Bolívar University.

[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:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
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 hugo chavez go to school?

[Assistant]
To answer the question "Where did Hugo Chavez go to school?" I need to identify the entity for Hugo Chavez in the Freebase knowledge graph and then find the relevant property that indicates the school or educational institution he attended.

Step 1: Search for the entity "Hugo Chavez" in Freebase.

[Tool]
Top 10 entity alternatives:
1. Hugo Chávez, also known as El Commandante, Hugo Rafael Chávez Frías, Hugo Chavez, Esteban de Jesús, El Mico Mandante (fb:m.0d1b_): Hugo Rafael Chávez Frías was a Venezuelan politician and the Pre... re-elected in 2000 and again in 2006 with over 60% of the vote., has type Politician
2. Hugo Chávez (fb:m.0j9pvs_): Hugo Chávez is a retired Mexican football defender. He won two c...member of the Mexican squad at the 2001 FIFA Confederations Cup., has type Football player
3. Hugo Chavez (fb:m.02xgb87)
4. Hugo Chávez (fb:m.0cgtql2): has type Book Edition
5. Hugo Chá́vez (fb:m.0c3xtsy): has type Book
6. Hugo Rafael Chávez (fb:m.0j681q9): Hugo Rafael Chávez is the son of Hugo Chávez., has type Person
7. Comandante Hugo Chavez (fb:m.0qh58m4): has type Musical Recording
8. Hugo Chavez wave. (fb:m.0bn10tt)
9. Hugo Chávez International Airport, also known as Cap-Haitien Airport (fb:m.02vqbkl): Hugo Chávez International Airport is an airport serving Cap-Haït...ad which had previously bisected the airstrip around it instead., has type Airport
10. History of Venezuela, also known as Presidency of Hugo Chávez, Presidency of Hugo Chavez (fb:m.08fltn): Venezuela under the presidency of Hugo Chávez from 1999 to 2013 ...l South. Chávez's presidency ended when he died on 5 March 2013.

[Assistant] The entity for Hugo Chavez in Freebase is fb:m.0d1b_. Now I need to find the property that indicates the school or educational institution he attended. I will search for properties related to "education" or "school" for the entity fb:m.0d1b_.

[Tool]
Top 10 property alternatives:
1. Education (fb:people.person.education): links to type Education, part of Person schema
2. Article (fb:common.topic.article): links to type Document, part of Topic schema
3. Religion (fb:people.person.religion): links to type Religion, part of Person schema
4. Profession (fb:people.person.profession): links to type Profession, part of Person schema
5. Parents (fb:people.person.parents): part of Person schema, links to type Person
6. Description (fb:common.topic.description): part of Topic schema, links to type Text
7. Web Link(s) (fb:common.topic.webpage): links to type Webpage, part of Topic schema
8. Children (fb:people.person.children): part of Person schema, links to type Person
9. Gender (fb:people.person.gender): part of Person schema, links to type Gender
10. Type (fb:type.object.type): part of Object schema, links to type Type

No other items found

[Assistant] The property "Education" (fb:people.person.education) is the relevant property that links a person to their education information. I will now query the education information for Hugo Chavez using this property.

[Tool]
Got 4 rows and 2 columns:
| education    | educationLabel |
| ------------ | -------------- |
| fb:m.0467r_k |                |
| fb:m.0467s06 |                |
| fb:m.0467s0w |                |
| fb:m.0467s1m |                |

[Assistant] Hugo Chavez has four education entries in the knowledge graph, but they do not have English labels directly available. I will now try to get the labels for these education entities to identify the schools or institutions.

[Tool]
Got 4 rows and 2 columns:
| education    | educationLabel |
| ------------ | -------------- |
| fb:m.0467r_k |                |
| fb:m.0467s06 |                |
| fb:m.0467s0w |                |
| fb:m.0467s1m |                |

[Assistant] The education entities for Hugo Chavez do not have English labels in the knowledge graph. I will try to find the type or any other property that might indicate the name or type of these education entities. I will check the type of one of these education entities, for example fb:m.0467r_k.

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                         | object                             |
| ------------ | ------------------------------------------------ | ---------------------------------- |
| fb:m.0467r_k | Type (fb:type.object.type)                       | Education (fb:education.education) |
| fb:m.0467r_k | Institution (fb:education.education.institution) | Julian Pino School (fb:m.0467r_n)  |
| fb:m.0467r_k | Student (fb:education.education.student)         | Hugo Chávez (fb:m.0d1b_)           |
| fb:m.0467r_k | rdf:type                                         | Education (fb:education.education) |

[Assistant] The education entity fb:m.0467r_k is of type Education and has an institution property pointing to "Julian Pino School" (fb:m.0467r_n). I will now get the label for this institution.

[Tool]
Got 1 row and 1 column:
| label                   |
| ----------------------- |
| Julian Pino School (en) |

[Assistant] The institution for one of Hugo Chavez's education entries is "Julian Pino School." I will now check the other education entities to find their institutions as well.

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                         | object                                         |
| ------------ | ------------------------------------------------ | ---------------------------------------------- |
| fb:m.0467s06 | Type (fb:type.object.type)                       | Education (fb:education.education)             |
| fb:m.0467s06 | Institution (fb:education.education.institution) | Daniel Florencio O'Leary School (fb:m.0467s09) |
| fb:m.0467s06 | Student (fb:education.education.student)         | Hugo Chávez (fb:m.0d1b_)                       |
| fb:m.0467s06 | rdf:type                                         | Education (fb:education.education)             |

[Tool]
Got 1 row and 1 column:
| label                                |
| ------------------------------------ |
| Daniel Florencio O'Leary School (en) |

[Assistant] The institution for the education entity fb:m.0467s06 is "Daniel Florencio O'Leary School." I will continue with the next education entity fb:m.0467s0w.

[Tool]
Got 5 rows and 3 columns:
| subject      | property                                                           | object                                                    |
| ------------ | ------------------------------------------------------------------ | --------------------------------------------------------- |
| fb:m.0467s0w | Type (fb:type.object.type)                                         | Education (fb:education.education)                        |
| fb:m.0467s0w | Institution (fb:education.education.institution)                   | Bolivarian Military University of Venezuela (fb:m.08fk_z) |
| fb:m.0467s0w | Student (fb:education.education.student)                           | Hugo Chávez (fb:m.0d1b_)                                  |
| fb:m.0467s0w | Major/Field Of Study (fb:education.education.major_field_of_study) | military arts and science (fb:m.0467s0x)                  |
| fb:m.0467s0w | rdf:type                                                           | Education (fb:education.education)                        |

[Tool]
Got 1 row and 1 column:
| label                                            |
| ------------------------------------------------ |
| Bolivarian Military University of Venezuela (en) |

[Assistant] The institution for the education entity fb:m.0467s0w is "Bolivarian Military University of Venezuela." I will now check the last education entity fb:m.0467s1m.

[Tool]
Got 4 rows and 3 columns:
| subject      | property                                         | object                                 |
| ------------ | ------------------------------------------------ | -------------------------------------- |
| fb:m.0467s1m | Type (fb:type.object.type)                       | Education (fb:education.education)     |
| fb:m.0467s1m | Institution (fb:education.education.institution) | Simón Bolívar University (fb:m.04fc47) |
| fb:m.0467s1m | Student (fb:education.education.student)         | Hugo Chávez (fb:m.0d1b_)               |
| fb:m.0467s1m | rdf:type                                         | Education (fb:education.education)     |

[Tool]
Got 1 row and 1 column:
| label                         |
| ----------------------------- |
| Simón Bolívar University (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the educational institutions associated with Hugo Chavez using the property fb:people.person.education and optionally fetches their English labels. The result includes four schools, which matches the human-readable answer provided. The query respects the requirement to return actual identifiers and labels in an optional clause. The answer is complete and accurate based on the data from the freebase knowledge graph.


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?actor ?actorName WHERE {
  fb:m.02f8jf fb:tv.tv_program.regular_cast ?actor .
  OPTIONAL {
    ?actor rdfs:label ?actorName .
    FILTER ( lang( ?actorName ) = "en" )
  }
}

Got 11 rows and 2 columns, showing the first 5 and last 5 rows below:
| actor        | actorName |
| ------------ | --------- |
| fb:m.03lkkdh |           |
| fb:m.03lkkdn |           |
| fb:m.03lkkdt |           |
| fb:m.03lkkf3 |           |
| fb:m.03lkkf8 |           |
| ...          | ...       |
| fb:m.0l5j2hf |           |
| fb:m.0l5j2hn |           |
| fb:m.0l5j2hv |           |
| fb:m.0l5j2j1 |           |
| fb:m.0l5j2k4 |           |

The actors who played on the TV show 'The Jeffersons' are identified by their Freebase IDs, but unfortunately, their names are not available in the knowledge graph. Here are the actor IDs: fb:m.03lkkdh, fb:m.03lkkdn, fb:m.03lkkdt, fb:m.03lkkf3, fb:m.03lkkf8, fb:m.0l5j2hf, fb:m.0l5j2hn, fb:m.0l5j2hv, fb:m.0l5j2j1, fb:m.0l5j2k4.

[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:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

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

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

[User] who played on the jeffersons?

[Assistant]
The user is asking for the actors who played on the TV show "The Jeffersons." To answer this, I need to identify the entity for "The Jeffersons" (likely a TV show) in the knowledge graph and then find the property that relates this TV show to the actors who played on it.

Step 1: Search for the entity "The Jeffersons" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. The Jeffersons (fb:m.02f8jf): The Jeffersons is an American sitcom that was broadcast on CBS f..." were used occasionally, especially during the earlier seasons., has type TV Program
2. The Jeffersons (fb:m.09rp21): All the children of South Park are attracted to Mr. Jefferson, h...esent him for being black and wealthy and decide bring him down., "The Jeffersons" is episode 117 of the Comedy Central animated series South Park. It was originally broadcast on April 21, 2004., has type TV Episode
3. The Jeffersons, also known as The Jeffersons (Movin’ on Up), The Jeffersons (Movin' On Up) (feat. Ja'net DuBois) (fb:m.0zytgm): has type Musical Recording
4. The Jeffersons (fb:m.05dgnpc): Thurgood runs for a local political after finding out he might be related to Thomas Jefferson., has type TV Episode
5. The Jeffersons Theme (fb:m.0dq0j4x): has type Musical Recording
6. The Jeffersons (fb:m.080rdnc): has type Book Edition
7. The Jeffersons (fb:m.06tlgms): has type Book
8. The Jeffersons (fb:m.0x1rjc1): has type Musical Recording
9. The Jeffersons (fb:m.0ghmnrv): has type TV Episode
10. The Jeffersons (fb:m.07kwc6h): has type TV Episode

[Assistant] The entity "The Jeffersons" as an American sitcom TV program is identified with the IRI fb:m.02f8jf. Next, I will search for properties related to this entity that might indicate the actors who played on the show. Likely properties could be "cast," "starring," or similar. I will search for properties of the entity "The Jeffersons" with a query related to actors or cast.

[Tool]
Top 10 property alternatives:
1. Regular acting performances (fb:tv.tv_program.regular_cast): links to type TV Regular Performance, part of TV Program schema
2. Key (fb:type.object.key): part of Object schema, links to type Key
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Article (fb:common.topic.article): links to type Document, part of Topic schema
5. Genre (fb:tv.tv_program.genre): part of TV Program schema, links to type TV Genre
6. Currently in production (fb:tv.tv_program.currently_in_production): part of TV Program schema, links to type Boolean
7. Country of origin (fb:tv.tv_program.country_of_origin): part of TV Program schema, links to type Country
8. Description (fb:common.topic.description): part of Topic schema, links to type Text
9. Type (fb:type.object.type): part of Object schema, links to type Type
10. Languages (fb:tv.tv_program.languages): links to type Human Language, part of TV Program schema

No other items found

[Assistant]
The property "Regular acting performances" (fb:tv.tv_program.regular_cast) seems to be the relevant property for the cast of the TV program "The Jeffersons." This property links to a type "TV Regular Performance," which likely represents the actors who regularly performed on the show.

Next, I will query for the values of the property fb:tv.tv_program.regular_cast for the entity fb:m.02f8jf (The Jeffersons) to get the actors who played on the show.

[Tool]
Got 11 rows and 2 columns, showing the first 5 and last 5 rows below:
| actor        | actorName |
| ------------ | --------- |
| fb:m.03lkkdh |           |
| fb:m.03lkkdn |           |
| fb:m.03lkkdt |           |
| fb:m.03lkkf3 |           |
| fb:m.03lkkf8 |           |
| ...          | ...       |
| fb:m.0l5j2hf |           |
| fb:m.0l5j2hn |           |
| fb:m.0l5j2hv |           |
| fb:m.0l5j2j1 |           |
| fb:m.0l5j2k4 |           |

[Assistant] I retrieved 11 actors who played on "The Jeffersons," but their labels (names) are missing. I will now query the labels (names) of these actors to provide a more informative answer. I will do this by querying the labels for these actor entities.

[Tool]
Got 10 rows and 2 columns:
| actor        | actorName |
| ------------ | --------- |
| fb:m.03lkkdh |           |
| fb:m.03lkkdn |           |
| fb:m.03lkkdt |           |
| fb:m.03lkkf3 |           |
| fb:m.03lkkf8 |           |
| fb:m.0l5j2hf |           |
| fb:m.0l5j2hn |           |
| fb:m.0l5j2hv |           |
| fb:m.0l5j2j1 |           |
| fb:m.0l5j2k4 |           |

[Assistant] The labels (names) for the actors are not available in the knowledge graph. However, I have the identifiers of the actors who played on "The Jeffersons." I will provide the list of these actor identifiers as the answer to the user question.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves the actors who played on 'The Jeffersons' by using the property fb:tv.tv_program.regular_cast. However, the answer only provides Freebase IDs without any human-readable names, which is not very helpful for the user. The query should be refined to also retrieve the actors' names using the rdfs:label property or a similar property, placed in an OPTIONAL clause to avoid missing results if labels are not available. This will make the answer more informative and user-friendly.

[Assistant] Thank you for the feedback. I will refine the SPARQL query to include the actors' names using the rdfs:label property in an OPTIONAL clause. This will provide both the Freebase IDs and the human-readable names of the actors who played on "The Jeffersons," making the answer more informative and user-friendly.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves the actors who played on 'The Jeffersons' along with their Freebase IDs and optionally their names. However, many actors do not have their names returned, which reduces the usefulness of the answer. To improve this, the query should explicitly request labels using rdfs:label and ensure the language is English if possible. Additionally, the answer should mention some of the main actors by name if available, to provide a more informative and user-friendly response.

[Assistant] I understand the feedback. I will refine the SPARQL query to explicitly request English labels using a FILTER on the language tag for rdfs:label. Then, I will execute the query to retrieve the actors with their English names. Based on the results, I will mention some of the main actors by name in the answer to provide a more informative and user-friendly response.

[Tool]
Got 11 rows and 2 columns, showing the first 5 and last 5 rows below:
| actor        | actorName |
| ------------ | --------- |
| fb:m.03lkkdh |           |
| fb:m.03lkkdn |           |
| fb:m.03lkkdt |           |
| fb:m.03lkkf3 |           |
| fb:m.03lkkf8 |           |
| ...          | ...       |
| fb:m.0l5j2hf |           |
| fb:m.0l5j2hn |           |
| fb:m.0l5j2hv |           |
| fb:m.0l5j2j1 |           |
| fb:m.0l5j2k4 |           |

[Assistant] The query with the language filter for English labels still did not return any actor names. The knowledge graph does not seem to have the names of the actors who played on "The Jeffersons." I will provide the answer with the Freebase IDs of the actors and mention that the names are not available in the knowledge graph.

[Tool] Stopped generation process


PREFIX fb: <http://rdf.freebase.com/ns/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?cancer ?cancerLabel WHERE {
  fb:m.02h3tp fb:medicine.notable_person_with_medical_condition.condition ?cancer .
  OPTIONAL {
    ?cancer rdfs:label ?cancerLabel .
    FILTER ( LANG( ?cancerLabel ) = "en" )
  }
}

Patrick Swayze had pancreatic cancer.

[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:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
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 cancer did patrick swayze?

[Assistant]
The user question is asking about the type of cancer that Patrick Swayze had. To answer this, I need to:

1. Identify the entity for Patrick Swayze in the knowledge graph.
2. Find properties related to cancer or diseases associated with Patrick Swayze.
3. Retrieve the specific type of cancer he had.

I will start by searching for the entity "Patrick Swayze" in the Freebase knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Patrick Swayze, also known as Buddy, Patrick Wayne Swayze (fb:m.02h3tp): Patrick Wayne Swayze was an American actor, dancer, and singer-s...was named by People magazine as its "Sexiest Man Alive" in 1991., has type Film actor
2. Patrick Swayze (fb:m.0397h00): has type Musical Release
3. Patrick Swayze (fb:m.06yv1hy): has type TV Episode
4. Patrick Swayze (fb:m.010jbwwk): has type Musical Recording
5. Patrick Swayze (fb:m.01spbtn): has type Musical Album
6. Patrick Swayze (fb:m.07jzf5d): has type TV Episode
7. Patrick Swayze (fb:m.014y7pm): has type Musical Recording
8. Patrick Swayze (fb:m.02f2ll6)
9. Patrick Swayze (fb:m.010j7__4)
10. Patrick Swayze (fb:m.0lvj_ds)

[Assistant]
I found multiple entities named Patrick Swayze. The most relevant one is fb:m.02h3tp, which is described as Patrick Wayne Swayze, an American actor, dancer, and singer. This matches the person we are interested in.

Next, I will search for properties related to cancer or diseases for this entity to find the type of cancer he had. I will search for properties related to "cancer" for the entity fb:m.02h3tp.

[Tool]
Top 10 property alternatives:
1. Religion (fb:people.person.religion): links to type Religion, part of Person schema
2. Cause of death (fb:people.deceased_person.cause_of_death): part of Deceased Person schema, links to type Cause Of Death
3. Name (fb:type.object.name): part of Object schema, links to type Text
4. Condition (fb:medicine.notable_person_with_medical_condition.condition): part of Public figure with medical condition schema, links to type Disease or medical condition
5. Gender (fb:people.person.gender): part of Person schema, links to type Gender
6. Content (fb:broadcast.artist.content): links to type Broadcast Content, part of Broadcast Artist schema
7. Description (fb:common.topic.description): part of Topic schema, links to type Text
8. Date of death (fb:people.deceased_person.date_of_death): part of Deceased Person schema, links to type Date/Time
9. Image (fb:common.topic.image): part of Topic schema, links to type Image
10. Albums (fb:music.artist.album): part of Musical Artist schema, links to type Musical Album

No other items found

[Assistant] The property "Condition" (fb:medicine.notable_person_with_medical_condition.condition) seems relevant as it relates to medical conditions of notable persons. I will use this property to find the medical condition (cancer type) associated with Patrick Swayze (fb:m.02h3tp).

[Tool]
Got 1 row and 3 columns:
| subject                      | property                                                                | object                          |
| ---------------------------- | ----------------------------------------------------------------------- | ------------------------------- |
| Patrick Swayze (fb:m.02h3tp) | Condition (fb:medicine.notable_person_with_medical_condition.condition) | Pancreatic cancer (fb:m.01_qc_) |

[Assistant] Patrick Swayze had pancreatic cancer according to the knowledge graph. I will now provide the final answer with the SPARQL query.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the medical condition associated with Patrick Swayze, specifically pancreatic cancer. The query uses the appropriate property to link Patrick Swayze to his medical condition and includes an optional clause to fetch the English label of the cancer. The answer provided is accurate and complete based on the query results. No further refinement is necessary.


PREFIX fb: <http://rdf.freebase.com/ns/>
SELECT ?work ?workLabel WHERE {
  fb:m.01v9724 fb:book.author.works_written ?work .
  OPTIONAL {
    ?work fb:type.object.name ?workLabel .
  }
}
LIMIT 1

The knowledge graph lists works written by Charles Dickens but does not provide publication dates or sequence information to determine the first book he wrote. Therefore, it is not possible to definitively identify his first book based on the available 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:
freebase at https://qlever.cs.uni-freiburg.de/api/freebase

You can use the following SPARQL prefixes implicitly in all functions:
fb: <http://rdf.freebase.com/ns/
fbkey: <http://rdf.freebase.com/key/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
owl: <http://www.w3.org/2002/07/owl#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
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 the first book charles dickens wrote?

[Assistant] To answer the question about the first book Charles Dickens wrote, I will first search for the entity "Charles Dickens" in the Freebase knowledge graph. Then, I will look for properties related to the works or books written by Charles Dickens. Finally, I will try to find the earliest or first book he wrote.

[Tool]
Top 10 entity alternatives:
1. Charles Dickens, also known as Dickens Charles, C. Dickens, Dickens, Charles John Huffham Dickens, Charles John Huffam Dickens (fb:m.01v9724): Charles John Huffam Dickens was an English writer and social cri...s humour, satire, and keen observation of character and society., has type Author
2. Charles Dickens (fb:m.0c84yyk): has type Book Edition
3. Charles Dickens (fb:m.08tqx20): has type Book Edition
4. Charles Dickens (fb:m.092hqfy): has type Book Edition
5. Charles Dickens (fb:m.0c5p00l): has type Book Edition
6. Charles Dickens, also known as The Charles Dickens (fb:m.051tzgl): has type Drinking establishment
7. Charles Dickens (fb:m.0c8dcxn): has type Book Edition
8. Charles Dickens (fb:m.04ttf39): has type Book Edition
9. Charles Dickens (fb:m.059q65_): Charles Dickens is a fictional character from the 1998 film The Ghosts of Dickens' Past., Charles Dickens is a fictional character from the 2013 drama film The Invisible Woman., Charles Dickens is a fictional character from the 1969 film The Best House in London., has type Film character
10. Charles Dickens (fb:m.0c1tq0s): has type Book

[Assistant] I found the entity for Charles Dickens as an author with the identifier fb:m.01v9724. Now I will search for properties related to the works or books written by Charles Dickens using this entity.

[Tool]
Top 10 property alternatives:
1. Works written (fb:book.author.works_written): links to type Written Work, part of Author schema
2. Book editions published (fb:book.author.book_editions_published): links to type Book Edition, part of Author schema
3. Works Written About This Topic (fb:book.book_subject.works): part of Literature Subject schema, links to type Written Work
4. Description (fb:common.topic.description): part of Topic schema, links to type Text
5. Name (fb:type.object.name): part of Object schema, links to type Text
6. Category (fb:base.kwebbase.kwtopic.category): part of KWTopic schema, links to type Text
7. Series Written (or Contributed To) (fb:book.author.series_written_or_contributed_to): links to type Literary Series, part of Author schema
8. Religion (fb:people.person.religion): links to type Religion, part of Person schema
9. Date of birth (fb:people.person.date_of_birth): links to type Date/Time, part of Person schema
10. Has sentences (fb:base.kwebbase.kwtopic.has_sentences): links to type KWSentence, part of KWTopic schema

No other items found

[Assistant] The most relevant property for books written by Charles Dickens is "Works written" (fb:book.author.works_written). I will now query the works written by Charles Dickens using this property and try to find the earliest or first book he wrote.

[Tool]
Got 1 row and 3 columns:
| work                                       | workLabel                        | publicationDate |
| ------------------------------------------ | -------------------------------- | --------------- |
| Chimes, The/Holly Tree, The (fb:m.06r8r19) | Chimes, The/Holly Tree, The (en) |                 |

[Assistant] I found one work written by Charles Dickens with the label "Chimes, The/Holly Tree, The," but there is no publication date available for this work in the knowledge graph. I will try to find more works written by Charles Dickens and check if any of them have a publication date to determine the first book he wrote.

[Tool]
Got 10 rows and 3 columns:
| work                                                     | workLabel                                      | publicationDate |
| -------------------------------------------------------- | ---------------------------------------------- | --------------- |
| Chimes, The/Holly Tree, The (fb:m.06r8r19)               | Chimes, The/Holly Tree, The (en)               |                 |
| Bardell v. Pickwick (fb:m.06nswl2)                       | Bardell v. Pickwick (en)                       |                 |
| The Lock And Key Library (fb:m.06nwr5t)                  | The Lock And Key Library (en)                  |                 |
| The Dickens Christian Reader (fb:m.06p04fg)              | The Dickens Christian Reader (en)              |                 |
| Reprinted Pieces (fb:m.06p46qx)                          | Reprinted Pieces (en)                          |                 |
| Three Ghost Stories (fb:m.06p5yzh)                       | Three Ghost Stories (en)                       |                 |
| Comic World of Dickens (fb:m.06p9fbl)                    | Comic World of Dickens (en)                    |                 |
| Cliffsnotes Pickwick Papers (fb:m.06pppd1)               | Cliffsnotes Pickwick Papers (en)               |                 |
| Uncollected Writings from Household Words (fb:m.06qcgwf) | Uncollected Writings from Household Words (en) |                 |
| Perils Of Certain English Prisoners (fb:m.06qntn3)       | Perils Of Certain English Prisoners (en)       |                 |

[Assistant] The works listed for Charles Dickens do not have publication dates in the knowledge graph, so I cannot determine the first book he wrote based on this data. I will try a different approach by searching for the property "first book" or "first work" related to Charles Dickens to see if there is a direct property indicating his first book.

[Tool]
Top 10 property alternatives:
1. Works written (fb:book.author.works_written): links to type Written Work, part of Author schema
2. Book editions published (fb:book.author.book_editions_published): links to type Book Edition, part of Author schema
3. Fictional Characters Created (fb:fictional_universe.fictional_character_creator.fictional_characters_created): part of Fictional Character Creator schema, links to type Fictional Character
4. Literary movement (fb:user.agroschim.default_domain.notable_author_of_a_lit_movement.literary_movement): part of Notable author of a literary movement schema, links to type Literary movement
5. Series Written (or Contributed To) (fb:book.author.series_written_or_contributed_to): links to type Literary Series, part of Author schema
6. Works Written About This Topic (fb:book.book_subject.works): part of Literature Subject schema, links to type Written Work
7. Has sentences (fb:base.kwebbase.kwtopic.has_sentences): links to type KWSentence, part of KWTopic schema
8. Representations In Fiction (fb:fictional_universe.person_in_fiction.representations_in_fiction): part of Person Or Being In Fiction schema, links to type Fictional Character
9. Is reviewed (fb:freebase.valuenotation.is_reviewed): part of Value Notation schema, links to type Property
10. Works edited (fb:book.author.works_edited): links to type Written Work, part of Author schema

No other items found

[Assistant] There is no direct property indicating the "first book" or "first work" of Charles Dickens in the knowledge graph. The best available property is "Works written" which lists his works but without publication dates. Given this limitation, I will provide the earliest known work from the list of works written by Charles Dickens, which is "Chimes, The/Holly Tree, The."

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query retrieves one work written by Charles Dickens but does not ensure it is the first book he wrote. The query lacks ordering by publication date or any temporal property to identify the earliest work. Additionally, the label for the work is missing in the result, which reduces readability. To improve, the query should attempt to order works by their publication date or earliest known date if available, and include labels in an optional clause. If publication dates are not available in the knowledge graph, this limitation should be clearly stated in the answer. The current answer correctly notes the lack of publication dates but could be more explicit about the query's limitation and the need for ordering or date filtering.

[Assistant] Thank you for the feedback. I will improve the SPARQL query by including the labels in an optional clause and ordering the works by their publication date if available. I will also explicitly state the limitation regarding the absence of publication dates in the knowledge graph in the answer. I will now refine the query and answer accordingly.

[Tool]
Got 1 row and 3 columns:
| work                                       | workLabel                        | publicationDate |
| ------------------------------------------ | -------------------------------- | --------------- |
| Chimes, The/Holly Tree, The (fb:m.06r8r19) | Chimes, The/Holly Tree, The (en) |                 |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves the works written by Charles Dickens and attempts to order them by publication date to find the earliest work. However, the knowledge graph lacks publication dates for these works, making it impossible to definitively identify the first book he wrote based on this data. The answer correctly reflects this limitation. To improve, you could consider querying for additional properties that might indicate the date or sequence of works, or explicitly note the absence of publication dates in the answer. Also, ensure the query returns the actual identifiers as it does now, and optionally include labels in an OPTIONAL clause, which is already done.

[Assistant] I understand the feedback and the limitation of the knowledge graph regarding the absence of publication dates for Charles Dickens' works. Since the current data does not provide a definitive way to identify the first book he wrote, I will explicitly note this limitation in the answer. The SPARQL query already returns the work identifiers and labels, which is appropriate. I will finalize the answer with this clarification.

[Tool] Stopped generation process