PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
ASK WHERE {
  {
    wd:Q125054 wdt:P355 ?subsidiary .
    ?subsidiary wdt:P17 wd:Q38 .
  } UNION {
    ?store wdt:P31 wd:Q125054 ; wdt:P17 wd:Q38 .
  }
}

No, ALDI is not in Italy.

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

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

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

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

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

[User] Is ALDI also in Italy?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
Who owns Aldi?

SPARQL:
SELECT ?uri WHERE {
  wd:Q125054 wdt:P355 ?uri
}

Using entities:
Aldi, also known as Aldi Stores (wd:Q125054): brand name of two global discount supermarket chains

Using properties:
has subsidiary, also known as subordinate body, subsidiary body, subordinate unit, subsidiary, subsidiary company (wd:P355 as wdt): subsidiary of a company or organization; generally a fully owned...siness division" (P199). Opposite of parent organization (P749)., has part(s), owner of

Example 2:
Question:
What is the highest mountain in Italy?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P31 wd:Q8502 ; wdt:P17 wd:Q38 ; wdt:P2044 ?elevation .
}
ORDER BY DESC ( ?elevation )
LIMIT 1

Using entities:
Italy, also known as Italia, Republic of Italy, Repubblica Italiana, Italian Republic, ITA (wd:Q38): country in Southern Europe
mountain, also known as mt., mtn., mountains, mount (wd:Q8502): large natural elevation of the Earth's surface

Using properties:
country, also known as sovereign state, state, land, host country (wd:P17 as wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
elevation above sea level, also known as MAMSL, MASL, height, elevation above mean sea level, elevation (wd:P2044 as wdt): height of the item (geographical object) as measured relative to sea level
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

[Assistant] Based on these examples, we need to find out if ALDI has a presence in Italy. We can check this by finding if there is any store of ALDI located in Italy. Let's first identify the entities for ALDI and Italy.

[Tool]
Top 10 entity alternatives:
1. Aldi, also known as Aldi Stores (wd:Q125054): brand name of two global discount supermarket chains
2. Aldi Suisse, also known as Aldi, Aldi Suisse AG (wd:Q111030009): Swiss company and subsidiary of Aldi/Hofer
3. Aldi (wd:Q37488907): family name
4. METTL7B, also known as ALDI, methyltransferase like 7B (wd:Q18053067): protein-coding gene in the species Homo sapiens
5. Aldi (wd:Q66263985): male given name
6. Methyltransferase like 7B, also known as ALDI, associated with lipid droplet protein 1, methyltransferase-like protein 7B, Mettl7b, thiol S-methyltransferase METTL7B (wd:Q28557934): mammalian protein found in Rattus norvegicus
7. Aldein, also known as Aldino (wd:Q373680): municipality in South Tyrol, Italy
8. Aldingen (wd:Q529710): municipality in Germany
9. pyrazinamide, also known as Zinamide®, PZA, Pyrizinamide, Pyrazinoic acid amide, Pyrazinecarboxamide (wd:Q417571): chemical compound
10. Altichiero, also known as Altichiero Da Zevio, Aldigheri, Altichiero di Domenico da Zevio, Alticjiero da Zevio, da Verona Altichiero (wd:Q379567): Italian painter (1330-1390), illuminator, painter

[Assistant] The correct entity for ALDI is `wd:Q125054`. Now let's find the entity for Italy.

[Tool]
Top 10 entity alternatives:
1. Italy, also known as Italia, Republic of Italy, Repubblica Italiana, Italian Republic, ITA (wd:Q38): country in Southern Europe
2. Italian Peninsula, also known as Apennine Peninsula, Italic Peninsula, Italy, lo Stivale, península Itálica (wd:Q145694): peninsula of southern Europe
3. Kingdom of Italy, also known as IT, Italy, Regno d’Italia (wd:Q172579): kingdom in Southern Europe from 1861 to 1946
4. Kingdom of Italy, also known as Italy, Napoleonic Kingdom of Italy, Regno d'Italia, Royaume d’Italie, Italian Kingdom (wd:Q223936): kingdom in southern Europe between 1805 and 1814
5. Kingdom of Italy, also known as Italian Kingdom, Italy, Regnum Italiae, Regnum Italicorum, Regnum Italicum (wd:Q838931): (817–1014) constituent kingdom of the Holy Roman Empire
6. Italy, also known as Italy, Texas, Italy, TX (wd:Q977238): town in Ellis County, Texas, United States
7. Italy, also known as Italy, NY (wd:Q3708720): town in New York
8. Kingdom of Italy, also known as Italy, Regnum Italicum, Regno d'Italia, Italian Kingdom (wd:Q5343710): kingdom in Southern Europe between 781 and 962
9. Pessione, also known as Italy (wd:Q2028109): human settlement in Chieri, Metropolitan City of Turin, Piedmont, Italy
10. Archivio di Stato di Parma, also known as archiviodistatoparma.beniculturali.it, Italy, Parma State Archive, Parma State Archives, State Archive of Parma (wd:Q3621658): archives in Italy

[Assistant]
The correct entity for Italy is `wd:Q38`.

Now, we need to find out if there are any ALDI stores located in Italy. We can do this by checking if there are any instances of ALDI stores that have Italy as their country. Let's look for a property that indicates the location or country of a store.

[Tool]
Top 10 property alternatives:
1. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): location where persons or organisations were actively participating in employment, business or other work, significant place, location
2. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
3. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
4. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): person or organization occupying property, used by
5. recorded at studio or venue, also known as venue, studio, recording venue, recording studio, recorded at event (wd:P483 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): studio or location where a musical composition/release was recorded, recording location
6. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): home stadium or venue of a sports team or applicable performing arts organization, location
7. published in, also known as song on album, tome of the book, tome of, track of, track on (wd:P1433 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): larger work that a given work was published in, like a book, journal or music album, part of
8. located in the present-day administrative territorial entity, also known as present-day administrative territorial entity, located in the current administrative territorial entity, located in the modern-day administrative territorial entity, located in the present-day administrative territorial entity, would today be located in administrative territorial entity (wd:P3842 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): the item was located in the territory of this present-day administrative unit; however the two did not at any point coexist in time, location, part of
9. directions, also known as locality or place (wd:P2795 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): describe how to find the subject - directions, objects along way, comments
10. ranking, also known as peak position, place, placing, position, rank (wd:P1352 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): subject's ordinal position as qualitatively evaluated relative to other members of a group

[Assistant]
The property `located in the administrative territorial entity` (`wdt:P131`) or `country` (`wdt:P17`) seems appropriate for indicating the location of a store. Let's use `country` (`wdt:P17`) to check if there are any ALDI stores in Italy.

We will construct a SPARQL query to find if there are any instances of ALDI stores that have Italy as their country.

[Tool] Got no rows and 1 columns

[Assistant]
The initial query did not return any results, which suggests that there might not be any direct instances of ALDI stores in Italy. However, it's possible that ALDI stores in Italy are represented differently in the knowledge graph. Let's try another approach by looking for subsidiaries or branches of ALDI that might be operating in Italy.

We can use the property `has subsidiary` (`wdt:P355`) to find any subsidiaries of ALDI and then check if those subsidiaries are located in Italy.

[Tool] Got no rows and 1 columns

[Assistant]
The query to find subsidiaries of ALDI that are located in Italy also did not return any results. This suggests that there might not be any direct representation of ALDI stores or subsidiaries in Italy in the knowledge graph.

Given the lack of results, it appears that ALDI does not have a presence in Italy according to the available data in Wikidata. To confirm this, we can use an ASK query to check if there are any ALDI stores or subsidiaries in Italy.

[Tool] False

[Assistant]
The ASK query returned `False`, confirming that there are no ALDI stores or subsidiaries in Italy according to the available data in Wikidata.

Therefore, the answer to the question "Is ALDI also in Italy?" is:

**No, ALDI is not in Italy.**

I will now provide the final SPARQL query and answer.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?album WHERE {
  ?album wdt:P361 wd:Q106684208 .
}

Atif Aslam has been on the albums 'Doorie' (wd:Q14016) and 'Meri Kahani' (wd:Q6819157).

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

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

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

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

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

[User] What albums has Atif Aslam been on?

[Assistant] Let's start by looking at some similar examples.

[Tool] No examples found

[Assistant] Since we couldn't find any similar examples, let's start by searching for the entity "Atif Aslam".

[Tool]
Top 10 entity alternatives:
1. Atif Aslam, also known as Muhammad Atif Aslam (wd:Q755830): Pakistani playback singer and songwriter, singer-songwriter, film actor, singer, actor
2. Aslem District, also known as Aslam (wd:Q4117502): District of Hajjah Governorate, Yemen
3. ATIF (wd:Q16868993): human settlement in Saudi Arabia
4. Atif (wd:Q56537554): family name
5. Atıf, also known as Atıf (first name), Atıf (given name) (wd:Q20669067): male given name
6. Aslam (wd:Q37471643): family name
7. Atif (wd:Q61780244): male given name
8. Nazir Ahmad Aslam, also known as Asl., N.A. Aslam, Aslam (wd:Q67187108): Pakistani entomologist (1918–1971), entomologist, coleopterist
9. Aslam, also known as أسلم (wd:Q28790443): male given name (أسلم)
10. Aslam (wd:Q65487248): German badminton player, badminton player

[Assistant] The first result, "Atif Aslam, also known as Muhammad Atif Aslam (wd:Q755830)", seems to be the correct entity. Let's confirm this by listing some triples where this entity is the subject.

[Tool]
Got 289 rows and 3 columns, showing the first 10 rows below:
| subject                 | property                         | object                                                                                |
| ----------------------- | -------------------------------- | ----------------------------------------------------------------------------------------- |
| Atif Aslam (wd:Q755830) | instance of (wdt:P31)            | human (wd:Q5)                                                                             |
| Atif Aslam (wd:Q755830) | occupation (wdt:P106)            | actor (wd:Q33999)                                                                         |
| Atif Aslam (wd:Q755830) | sex or gender (wdt:P21)          | male (wd:Q6581097)                                                                        |
| Atif Aslam (wd:Q755830) | given name (wdt:P735)            | Atif (wd:Q61780244)                                                                       |
| Atif Aslam (wd:Q755830) | date of birth (wdt:P569)         | 1983-03-12T00:00:00Z (xsd:dateTime)                                                       |
| Atif Aslam (wd:Q755830) | Commons category (wdt:P373)      | Atif Aslam                                                                                |
| Atif Aslam (wd:Q755830) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Atif%20Aslam%20in%20black%20coat.jpg> |
| Atif Aslam (wd:Q755830) | country of citizenship (wdt:P27) | Pakistan (wd:Q843)                                                                        |
| Atif Aslam (wd:Q755830) | family name (wdt:P734)           | Aslam (wd:Q37471643)                                                                      |
| Atif Aslam (wd:Q755830) | place of birth (wdt:P19)         | Wazirabad (wd:Q1026613)                                                                   |
| ...                     | ...                              | ...                                                                                |

[Assistant]
The triples confirm that "Atif Aslam (wd:Q755830)" is indeed the correct entity. Now, let's search for the property that links Atif Aslam to the albums he has been on.

I will search for properties related to "album" for the entity "Atif Aslam (wd:Q755830)".

[Tool]
Top 10 property alternatives:
1. AllMusic artist ID, also known as AllMusic, AllMusic ID, amg artist (wd:P1728 as p/wdt): identifier for an artist, musical group, or record label in the AllMusic database (record labels are listed as "artists")
2. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
3. discography, also known as discography link, recording catalog (wd:P358 as p/wdt): item for list pages with discography of artist or band, list of works
4. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
5. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
6. Apple Music artist ID (U.S. version), also known as iTunes author ID, music.apple.com/artist/, iTunes artist ID (American version), https://music.apple.com/artist/, Apple Music artist ID (American version) (wd:P2850 as p/wdt): identifier for a musical artist or author in the U.S. version of Apple Music
7. work period (start), also known as start working, flourished (start), start time for work, start date of activity, fl. (start) (wd:P2031 as p/wdt): start of period during which a person or group flourished (fl. = "floruit") in their professional activity, start time, floruit
8. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work
9. instrument, also known as uses this instrument, teaches instrument, instruments, plays this instrument, plays instrument (wd:P1303 as p/wdt): musical instrument that a person plays or teaches or used in a music occupation, uses
10. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category

No other items found

[Assistant]
None of the top 10 properties directly mention "album". However, the property "discography" (wd:P358) might be relevant, as it refers to a list page with the discography of an artist or band.

Let's check if Atif Aslam has a discography linked to him through this property.

I will execute a SPARQL query to see if there is a discography associated with Atif Aslam.

[Tool]
Got 1 row and 1 column:
| discography |
| ----------- |
| wd:Q4815772 |

[Assistant]
The query returned a discography entry for Atif Aslam (wd:Q4815772). This suggests that there is a list of albums associated with him.

Next, I will look at the triples for this discography entry to see if it lists the albums.

I will list the triples where the discography entry is the subject.

[Tool]
Got 40 rows and 3 columns, showing the first 10 rows below:
| subject     | property                | object                                          |
| ----------- | ----------------------- | ----------------------------------------------- |
| wd:Q4815772 | instance of (wdt:P31)   | Wikimedia artist discography (wd:Q104635718)    |
| wd:Q4815772 | main subject (wdt:P921) | Atif Aslam (wd:Q755830)                         |
| wd:Q4815772 | has list (wdt:P2354)    | wd:Q106684208                                   |
| wd:Q4815772 | schema:description      | discografie van Atif Aslam (nl)                 |
| wd:Q4815772 | schema:name             | Atif Aslam discography (en)                     |
| wd:Q4815772 | rdf:type                | wikibase:Item                                   |
| wd:Q4815772 | rdfs:label              | Atif Aslam discography (en)                     |
| wd:Q4815772 | skos:altLabel           | discography from Atif Aslam (en)                |
| wd:Q4815772 | skos:prefLabel          | Atif Aslam discography (en)                     |
| wd:Q4815772 | instance of (p:P31)     | s:Q4815772-7D684980-283B-4199-859B-FB779DE1FB53 |
| ...         | ...                     | ...                                             |

[Assistant]
The discography entry (wd:Q4815772) has a property `has list` (wdt:P2354) that points to another entity (wd:Q106684208). This entity likely contains the list of albums.

Let's check the triples for this list entity to see if it contains the albums.

[Tool]
Got 19 rows and 3 columns, showing the first 10 rows below:
| subject       | property                             | object                                               |
| ------------- | ------------------------------------ | ---------------------------------------------------- |
| wd:Q106684208 | instance of (wdt:P31)                | Wikimedia albums discography (wd:Q59191021)          |
| wd:Q106684208 | part of (wdt:P361)                   | wd:Q4815772                                          |
| wd:Q106684208 | is a list of (wdt:P360)              | album (wd:Q482994)                                   |
| wd:Q106684208 | category related to list (wdt:P1754) | wd:Q8274618                                          |
| wd:Q106684208 | schema:description                   | Wikimedia albums discography (en)                    |
| wd:Q106684208 | schema:name                          | albaim de chuid Atif Aslam in ord croineolaíoch (ga) |
| wd:Q106684208 | rdf:type                             | wikibase:Item                                        |
| wd:Q106684208 | rdfs:label                           | albaim de chuid Atif Aslam in ord croineolaíoch (ga) |
| wd:Q106684208 | skos:altLabel                        | Atif Aslam albums discography (en)                   |
| wd:Q106684208 | skos:prefLabel                       | albaim de chuid Atif Aslam in ord croineolaíoch (ga) |
| ...           | ...                                  | ...                                                  |

[Assistant]
The list entity (wd:Q106684208) confirms that it is a discography of albums (wd:Q482994). However, it does not directly list the albums. We need to find the specific albums that are part of this discography.

To find the albums, we can use the `part of` (wdt:P361) property to look for entities that are part of this list.

I will execute a SPARQL query to find the albums that are part of this discography.

[Tool]
Got 2 rows and 1 column:
| album                     |
| ------------------------- |
| Doorie (wd:Q14016)        |
| Meri Kahani (wd:Q6819157) |

[Assistant]
The query returned two albums that are part of Atif Aslam's discography:

1. **Doorie** (wd:Q14016)
2. **Meri Kahani** (wd:Q6819157)

These are the albums that Atif Aslam has been on.

Now, I will provide the final SPARQL query and the answer to the user's question.

[Tool] Stopped generation process


PREFIX schema: <http://schema.org/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( ?album ) AS ?count ) WHERE {
  wd:Q37150 wdt:P800 ?album .
  OPTIONAL {
    ?album schema:description ?albumDescription .
    FILTER ( LANG( ?albumDescription ) = 'en' )
  }
  FILTER ( CONTAINS( ?albumDescription , 'studio album' ) )
}

Got 1 row and 1 column:
| count       |
| ----------- |
| 7 (xsd:int) |

Lana Del Rey has 7 studio albums.

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

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

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

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

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

[User] How many studio albums has Lana Del Rey have?

[Assistant] Let's start by looking at some similar examples.

[Tool] No examples found

[Assistant] Since no examples were found, let's proceed by searching for the entity "Lana Del Rey" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Lana Del Rey, also known as Lana Del Ray, May Jailer, Lizzy Grant, Sparkle Jump Rope Queen, Elizabeth Woolridge Grant (wd:Q37150): American singer-songwriter, singer-songwriter, recording artist, record producer, film actor, composer, singer, poet
2. Lana Del Rey, also known as Lana Del Rey EP (wd:Q1149043): 2012 EP by Lana Del Rey
3. Freak (Lana Del Rey song) (wd:Q22001985): 2016 single by Lana Del Rey
4. American (Lana Del Rey song) (wd:Q66817375): 2012 song by Lana Del Rey
5. Change (Lana Del Rey song) (wd:Q97159559): 2017 song by Lana Del Rey
6. Weekend Update: Lana Del Rey (wd:Q110060506): sketch from Saturday Night Live
7. Text Book (Lana Del Rey song) (wd:Q106936354)
8. Lana Del Rey's 2023–2024 tour, also known as Did You Know That There's a Tour Around the World, Did You Know That There's a Tunn...nder Ocean Blvd Promotional Tour (wd:Q121770780): concert tour by Lana Del Rey
9. Lana Del Rey’s American Grotesque (wd:Q126796381): scholarly article
10. Tough (Quavo and Lana Del Rey song) (wd:Q127446878): 2024 single by Quavo and Lana Del Rey

[Assistant] The top result is the correct entity for Lana Del Rey, which is `wd:Q37150`. Now we need to find the property that represents "studio albums". Let's search for this property.

[Tool]
Top 10 property alternatives:
1. published in, also known as song on album, tome of the book, tome of, track of, track on (wd:P1433 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): larger work that a given work was published in, like a book, journal or music album, part of
2. form of creative work, also known as work type, work form, type of work, artform, type of reference work (wd:P7937 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): structure of a creative work
3. soundtrack release, also known as soundtrack single, soundtrack extended play, soundtrack album, has soundtrack album, OST (wd:P406 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): music release that incorporates music directly recorded from the soundtrack of an audiovisual work
4. release of, also known as music release of, release of music (wd:P9831 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): release group this release belongs to, edition or translation of, part of
5. music created for, also known as music for, music for work, music made for, music made for work, music written for (wd:P9899 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): a work, event, etc. for which a musical composition was created ... was written; a film for which motion picture music was created), created for
6. place of publication, also known as published in (place), where published, release region, released in, published from (wd:P291 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): geographical place of publication of the edition (use 1st edition when referring to works), significant place
7. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): date or point in time when a work was first published or released, point in time
8. tracklist, also known as tracks, track listing, track list, songs, list of tracks (wd:P658 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): audio tracks contained in this release, has part(s)
9. MusicBrainz release group ID, also known as album MBID, single MBID, single ID (MusicBrainz), release group MBID, release group ID (MusicBrainz) (wd:P436 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): identifier for a release group per the MusicBrainz open music encyclopedia (album, single, etc.)
10. Rate Your Music release ID, also known as RYM single ID, RYM release identifier, RYM release ID, RYM album ID, RateYourMusic single ID (wd:P8392 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): identifier for a music release on Rate Your Music site

[Assistant] None of these properties seem to directly represent "studio albums." However, we can try to find the property that links Lana Del Rey to her albums and then filter those albums to only include studio albums. Let's look at the properties of the entity `wd:Q37150` (Lana Del Rey) to see if there is a relevant property.

[Tool]
Top 10 property alternatives:
1. AllMusic artist ID, also known as AllMusic, AllMusic ID, amg artist (wd:P1728 as p/wdt): identifier for an artist, musical group, or record label in the AllMusic database (record labels are listed as "artists")
2. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
3. discography, also known as discography link, recording catalog (wd:P358 as p/wdt): item for list pages with discography of artist or band, list of works
4. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
5. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
6. Album of the Year artist ID, also known as AOTY artist ID (wd:P7050 as p/wdt): identifier for an artist on the Album of the Year (AOTY) website
7. record label, also known as label, labels (wd:P264 as p/wdt): brand and trademark associated with the marketing of subject music recordings and music videos
8. Apple Music artist ID (U.S. version), also known as iTunes author ID, music.apple.com/artist/, iTunes artist ID (American version), https://music.apple.com/artist/, Apple Music artist ID (American version) (wd:P2850 as p/wdt): identifier for a musical artist or author in the U.S. version of Apple Music
9. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as p/wdt): notable scientific, artistic or literary work, or other work of significance among subject's works
10. work period (start), also known as start working, flourished (start), start time for work, start date of activity, fl. (start) (wd:P2031 as p/wdt): start of period during which a person or group flourished (fl. = "floruit") in their professional activity, start time, floruit

No other items found

[Assistant] The property `notable work` (`wd:P800`) seems to be the most relevant for linking Lana Del Rey to her albums. We can use this property to find her albums and then filter them to only include studio albums. To do this, we need to identify the property that distinguishes studio albums from other types of albums. Let's search for the property "studio album" again, but this time focusing on the type of album.

[Tool]
Top 10 property alternatives:
1. form of creative work, also known as work type, work form, type of work, artform, type of reference work (wd:P7937 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): structure of a creative work
2. published in, also known as song on album, tome of the book, tome of, track of, track on (wd:P1433 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): larger work that a given work was published in, like a book, journal or music album, part of
3. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
4. music created for, also known as music for, music for work, music made for, music made for work, music written for (wd:P9899 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): a work, event, etc. for which a musical composition was created ... was written; a film for which motion picture music was created), created for
5. Discogs genre ID, also known as Discogs music genre identifier, Discogs music genre ID, Discogs genre identifier, Discogs genre (wd:P9218 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): identifier for a music genre in Discogs
6. Acclaimed Music album ID (wd:P12075 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): identifier for album entries that links to the website Acclaimed Music
7. AllMusic album ID, also known as master ID (AllMusic), single ID (AllMusic), release group ID (AllMusic), EP ID (AllMusic), amg album (wd:P1729 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): identifier for an album in AllMusic database
8. Discogs master ID, also known as album ID (Discogs), Discogs album ID, Discogs EP ID, Discogs master release ID, Discogs release group ID (wd:P1954 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): identifier for a musical work in the Discogs database
9. radio format, also known as format, radio station format, genre (wd:P415 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): describes the overall content broadcast on a radio station
10. Every Noise at Once ID, also known as Spotify genre, Every Noise at Once identifier, everynoise.com identifier (wd:P9881 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): identifier of a music genre, style, or scene on the Every Noise at Once website

[Assistant]
The property `form of creative work` (`wd:P7937`) seems to be the most relevant for distinguishing different types of albums, including studio albums. Let's use this property to filter the albums linked to Lana Del Rey through the `notable work` property.

Now, let's construct a SPARQL query to find the number of studio albums for Lana Del Rey.

[Tool]
Got 1 row and 1 column:
| count       |
| ----------- |
| 0 (xsd:int) |

[Assistant]
It appears that the query did not return any results, which suggests that either the properties or the relationships might not be correctly identified. Let's try another approach by looking at the specific albums linked to Lana Del Rey and checking their types manually.

First, let's list the albums linked to Lana Del Rey through the `notable work` property.

[Tool]
Got 11 rows and 1 column, showing the first 5 and last 5 rows below:
| album                                                               |
| ------------------------------------------------------------------- |
| Blue Banisters (wd:Q106640241)                                      |
| Did You Know That There's a Tunnel Under Ocean Blvd (wd:Q115632843) |
| Ultraviolence (wd:Q15303771)                                        |
| Honeymoon (wd:Q19056536)                                            |
| Lust for Life (wd:Q29051953)                                        |
| ...                                                                 |
| Norman Fucking Rockwell! (wd:Q56655003)                             |
| Paradise (wd:Q59449)                                                |
| Lana Del Ray (wd:Q770514)                                           |
| Video Games (wd:Q771253)                                            |
| Chemtrails over the Country Club (wd:Q80126984)                     |

[Assistant]
We have a list of albums linked to Lana Del Rey. Now, let's check the type of each album to see if it is a studio album. We will use the `form of creative work` property (`wd:P7937`) to filter out the studio albums.

Let's modify our query to include the type of each album and count only the studio albums.

[Tool]
Got 1 row and 1 column:
| count       |
| ----------- |
| 0 (xsd:int) |

[Assistant]
It seems that none of the albums linked to Lana Del Rey through the `notable work` property are marked as studio albums using the `form of creative work` property. This suggests that the relationship or the property might not be correctly used in the data.

Let's try another approach by looking at the albums directly and checking if they are studio albums. We can use the `instance of` property (`wdt:P31`) to see if the albums are instances of studio albums (`wd:Q174815`).

Let's modify the query to use the `instance of` property instead.

[Tool]
Got 1 row and 1 column:
| count       |
| ----------- |
| 0 (xsd:int) |

[Assistant]
It appears that even using the `instance of` property (`wdt:P31`) to check if the albums are studio albums (`wd:Q174815`) did not yield any results. This suggests that the data might not be structured in a way that directly links Lana Del Rey's albums to the concept of studio albums.

Given this, let's take a different approach. We can manually check the albums linked to Lana Del Rey and see if they are indeed studio albums. We can do this by looking at the labels and descriptions of the albums.

Let's list the albums again and include their labels and descriptions to verify if they are studio albums.

[Tool]
Got 11 rows and 3 columns, showing the first 5 and last 5 rows below:
| album                                                               | albumLabel                                               | albumDescription                                                         |
| ------------------------------------------------------------------- | -------------------------------------------------------- | ------------------------------------------------------------------------ |
| Blue Banisters (wd:Q106640241)                                      | Blue Banisters (en)                                      | 2021 studio album by Lana Del Rey (en)                                   |
| Did You Know That There's a Tunnel Under Ocean Blvd (wd:Q115632843) | Did You Know That There's a Tunnel Under Ocean Blvd (en) | 2023 album by Lana Del Rey (en)                                          |
| Ultraviolence (wd:Q15303771)                                        | Ultraviolence (en)                                       | 2014 studio album by Lana Del Rey (en)                                   |
| Honeymoon (wd:Q19056536)                                            | Honeymoon (en)                                           | 2015 studio album by Lana Del Rey (en)                                   |
| Lust for Life (wd:Q29051953)                                        | Lust for Life (en)                                       | 2017 studio album by Lana Del Rey (en)                                   |
| ...                                                                 | ...                                                      | ...                                                                      |
| Norman Fucking Rockwell! (wd:Q56655003)                             | Norman Fucking Rockwell! (en)                            | 2019 studio album by Lana Del Rey (en)                                   |
| Paradise (wd:Q59449)                                                | Paradise (en)                                            | 2012 EP by Lana Del Rey (en)                                             |
| Lana Del Ray (wd:Q770514)                                           | Lana Del Ray (en)                                        | Famous singer (en)                                                       |
| Video Games (wd:Q771253)                                            | Video Games (en)                                         | original song written and compos...; first recorded by Lana Del Rey (en) |
| Chemtrails over the Country Club (wd:Q80126984)                     | Chemtrails over the Country Club (en)                    | 2021 studio album by Lana Del Rey (en)                                   |

[Assistant]
From the results, we can see that several of the albums linked to Lana Del Rey are indeed studio albums. Let's count the number of studio albums by filtering out the non-studio albums based on their descriptions.

Here is the updated SPARQL query to count the studio albums:

[Tool]
Got 1 row and 1 column:
| count       |
| ----------- |
| 7 (xsd:int) |

[Assistant]
The SPARQL query has returned the correct count of studio albums for Lana Del Rey. According to the data, Lana Del Rey has 7 studio albums.

Here is the final SPARQL query and the answer:

```sparql
SELECT (COUNT(?album) AS ?count)
WHERE {
  wd:Q37150 wdt:P800 ?album .
  OPTIONAL { ?album schema:description ?albumDescription . FILTER(LANG(?albumDescription) = 'en') }
  FILTER(CONTAINS(?albumDescription, 'studio album'))
}
```

Answer: Lana Del Rey has 7 studio albums.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?country ( COUNT( ?winner ) AS ?count ) WHERE {
  ?winner wdt:P166 wd:Q123737 .
  ?winner wdt:P27 ?country .
}
GROUP BY ?country
ORDER BY DESC ( ?count )
LIMIT 1
OFFSET 1

United Kingdom (wd:Q145)

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

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

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

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

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

[User] From which country came the 2nd most winners of the Emmy Award ?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
What is the second highest mountain on Earth?

SPARQL:
SELECT ?res WHERE {
  ?res wdt:P31 / wdt:P279 * wd:Q8502 .
  ?res wdt:P2044 ?elevation .
  ?res wdt:P30 / wdt:P361 wd:Q2 .
}
ORDER BY DESC ( ?elevation )
LIMIT 1
OFFSET 1

Using entities:
Earth, also known as World, The Blue Planet, Planet Earth, Mother Earth (wd:Q2): third planet from the Sun in the Solar System
mountain, also known as mt., mtn., mountains, mount (wd:Q8502): large natural elevation of the Earth's surface

Using properties:
elevation above sea level, also known as MAMSL, MASL, height, elevation above mean sea level, elevation (wd:P2044 as wdt): height of the item (geographical object) as measured relative to sea level
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
continent (wd:P30 as wdt): continent of which the subject is a part, located in/on physical feature
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as wdt): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))

Example 2:
Question:
Which actors were born in Germany?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P106 wd:Q10800557 .
  {
    ?uri wdt:P19 wd:Q183 .
  } UNION {
    ?uri wdt:P19 / wdt:P17 wd:Q183 .
  }
}

Using entities:
film actor, also known as film actress, movie actor, movie actress (wd:Q10800557): actor who appears in films
Germany, also known as BR Deutschland, Bundesrepublik Deutschland, Deutschland, Federal Republic of Germany (wd:Q183): country in Central Europe

Using properties:
occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
country, also known as sovereign state, state, land, host country (wd:P17 as wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt): most specific known birth location of a person, animal or fictional character, location

[Assistant] Based on the examples, we need to identify the winners of the Emmy Award and their countries. Then, we can count the number of winners per country and select the country with the second-highest count. Let's start by identifying the Emmy Award and its winners.

[Tool]
Top 10 entity alternatives:
1. Emmy Award, also known as Emmy Awards, Emmys (wd:Q123737): American television production award
2. Primetime Emmy Award, also known as Primetime Emmy Awards (wd:Q1044427): Academy of Television Arts & Sciences accolade
3. Daytime Emmy Award, also known as Daytime Emmy Awards, Filmworks (wd:Q1179189): American TV award
4. International Emmy Award (wd:Q10354837): International Academy of Television Arts and Sciences accolade
5. Sports Emmy Awards, also known as Sports Emmy Award, Sports Emmys (wd:Q3494164): award for sports personalities
6. 69th Primetime Emmy Awards, also known as Emmys 2017, Emmy Awards 2017, Emmy 2017, 2017 Emmys, 2017 Emmy Awards (wd:Q28864472): Emmy Awards honoring the best in U.S. prime time television programming from June 1, 2016 until May 31, 2017
7. 69th Primetime Emmy Awards, also known as 2017 Emmy Awards, 2017 Emmys, Emmys 2017, Emmy 2017, Emmy Awards 2017 (wd:Q28864472): Emmy Awards honoring the best in U.S. prime time television programming from June 1, 2016 until May 31, 2017
8. 68th Primetime Emmy Awards, also known as 2016 Emmy Awards, 2016 Emmys, 2016 Primetime Emmy Awards, 68th Annual Primetime Emmy Awards (wd:Q23977956): 2016 American television programming awards
9. 22nd Primetime Emmy Awards, also known as 22nd Emmy Awards (wd:Q1647497): Emmy Award ceremony
10. 41st Primetime Emmy Awards, also known as 1989 Emmy Awards (wd:Q2442026): 1989 American television programming awards

[Assistant] The most relevant entity here is the general "Emmy Award" (wd:Q123737). Next, let's find out the property that links winners to the Emmy Award.

[Tool]
Top 10 property alternatives:
1. conferred by, also known as presented by, officiated by, issued by, granted by, given by (wd:P1027 as p/wdt): person or organization who grants an award, certification, grant, or role
2. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
3. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
4. start time, also known as start date, since, valid, join time, joined (wd:P580 as p): time an entity begins to exist or a statement starts being valid, point in time
5. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
6. Instagram username, also known as IG username, www.instagram.com, urinsta, ufinsta, Insta ID (wd:P2003 as p): item's username on Instagram, website username or ID
7. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as p/wdt): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
8. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
9. Wikidata property, also known as main property, property for this item, property, has property (wd:P1687 as p/wdt): main Wikidata property for this item
10. X (Twitter) username, also known as twitter.com/, X username, X handle, x.com/, X account (wd:P2002 as p/wdt): username on X (formerly Twitter); do not include the '@' symbol, website username or ID

No other items found

[Assistant] It seems that the property "conferred by" (wd:P1027) is not directly useful for finding the winners. Instead, we need to look for a property that links individuals to the Emmy Award as winners. Let's try searching for the property "award received" (wdt:P166).

[Tool]
Top 10 property alternatives:
1. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): award or recognition received by a person, organization or creative work
2. for work, also known as awarded for work, citation for award, for their work on, nominated for work (wd:P1686 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): qualifier of award received (P166) to specify the work that an award was given to the creator for
3. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): winner of a competition or similar event, not to be used for awa...ssibly qualified with "for work" (P1686)) or for wars or battles, participating team, participant
4. conferred by, also known as presented by, officiated by, issued by, granted by, given by (wd:P1027 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): person or organization who grants an award, certification, grant, or role
5. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
6. eligible recipient, also known as eligible recipient for award, type of recipient who is eligible for this award (wd:P8115 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): party that is eligible to receive something, like an award, grant or prize
7. award rationale, also known as award citation, rationale, award reason (wd:P6208 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): qualifier to add short citation explaining the official reason f... or add comments about a person's award. No quote marked needed.
8. trophy awarded, also known as cup awarded, diploma awarded, medal awarded (wd:P4622 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): trophy awarded at the end of a selection process or of a competi...winners or finishers under the form of a cup, a medal, a diploma
9. nominee, also known as award nominee (wd:P2453 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): qualifier used with “nominated for” to specify which person or organization was nominated
10. awarded for period (wd:P4566 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): period during which the achievement must have been made to be eligible for an award

[Assistant]
The property "award received" (wdt:P166) is the correct one to link individuals to the Emmy Award. Now, let's write a SPARQL query to find the winners of the Emmy Award and their countries. We will then count the number of winners per country and select the country with the second-highest count.

Here is the initial query to find the winners and their countries:

```sparql
SELECT ?country (COUNT(?winner) AS ?count)
WHERE {
  ?winner wdt:P166 wd:Q123737 .
  ?winner wdt:P27 ?country .
}
GROUP BY ?country
ORDER BY DESC(?count)
LIMIT 2
```

This query will give us the top two countries with the most Emmy Award winners. We will then modify it to only return the second country.

Let's execute this query first to see the results.

[Tool]
Got 2 rows and 2 columns:
| country                  | count         |
| ------------------------ | ------------- |
| United States (wd:Q30)   | 666 (xsd:int) |
| United Kingdom (wd:Q145) | 51 (xsd:int)  |

[Assistant]
The query returned the top two countries with the most Emmy Award winners. The United States has the most winners, and the United Kingdom has the second-most winners.

To get the country with the second-highest number of winners, we can modify the query to skip the first result and limit the output to one row.

Here is the modified query:

```sparql
SELECT ?country (COUNT(?winner) AS ?count)
WHERE {
  ?winner wdt:P166 wd:Q123737 .
  ?winner wdt:P27 ?country .
}
GROUP BY ?country
ORDER BY DESC(?count)
LIMIT 1
OFFSET 1
```

Let's execute this query to get the country with the second-highest number of Emmy Award winners.

[Tool]
Got 1 row and 2 columns:
| country                  | count        |
| ------------------------ | ------------ |
| United Kingdom (wd:Q145) | 51 (xsd:int) |

[Assistant]
The country with the second-highest number of Emmy Award winners is the United Kingdom (wd:Q145).

Here is the final SPARQL query and the answer:

```sparql
SELECT ?country (COUNT(?winner) AS ?count)
WHERE {
  ?winner wdt:P166 wd:Q123737 .
  ?winner wdt:P27 ?country .
}
GROUP BY ?country
ORDER BY DESC(?count)
LIMIT 1
OFFSET 1
```

The answer to the question "From which country came the 2nd most winners of the Emmy Award?" is the United Kingdom.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( DISTINCT ?country ) AS ?count ) WHERE {
  wd:Q4127 wdt:P17 ?country .
}

Got 1 row and 1 column:
| count       |
| ----------- |
| 3 (xsd:int) |

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

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

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

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

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

[User] How many countries are located around the euorpean Lake Constance?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
Which countries are connected by the Rhine?

SPARQL:
SELECT DISTINCT ?uri ?x ?y WHERE {
  wd:Q584 wdt:P17 ?uri .
  ?uri wdt:P31 wd:Q6256 .
}

Using entities:
Rhine (wd:Q584): river in Western Europe to the North Sea
country, also known as countries (wd:Q6256): distinct territorial body or political entity

Using properties:
country, also known as sovereign state, state, land, host country (wd:P17 as wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

Example 2:
Question:
With how many countries Iran has borders?

SPARQL:
SELECT ?uri WHERE {
  wd:Q794 wdt:P47 ?uri .
}

Using entities:
Iran, also known as ir, IRI, IRN, Islamic Rep. Iran, Islamic Republic of Iran (wd:Q794): country in Western Asia

Using properties:
shares border with, also known as shares borders with, next to, bordered by, border, borders clockwise (wd:P47 as wdt): countries or administrative subdivisions, of equal level, that t...rders, either by land or water. A single common point is enough.

Example 3:
Question:
Give me a list of all lakes in Denmark.

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P31 wd:Q23397 ; wdt:P17 wd:Q35 .
}

Using entities:
lake, also known as Lake, lakes (wd:Q23397): body of relatively still water, localized in a basin
Denmark, also known as 🇩🇰, Danmark, DEK, TAN, DEN (wd:Q35): country in Northern Europe

Using properties:
country, also known as sovereign state, state, land, host country (wd:P17 as wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

[Assistant] Based on these examples, we need to identify the entity for Lake Constance and then find the countries that are connected to it. Let's first search for the entity for Lake Constance.

[Tool]
Top 10 entity alternatives:
1. Lake Constance, also known as Bodensee, Lac de Constance, Lake Boden (wd:Q4127): lake in Germany, Switzerland and Austria
2. Rotopōhueroa / Lake Constance, also known as Lake Constance (wd:Q1800901): lake in New Zealand
3. Constance Lake (wd:Q22535448): lake in Algoma District, Ontario, Canada
4. Lake Constance (wd:Q21954634): lake in Australia
5. Constance Lake (wd:Q22535457): lake in Cochrane District, Ontario, Canada
6. Constance Lake (wd:Q49300861): lake in Mono County, California, United States of America
7. Constance Lake (wd:Q49300862): lake of the United States of America
8. Constance Lake (wd:Q33240536): lake in Wright County, Minnesota, United States
9. Constance Lake (wd:Q22535492): lake in Leask No. 464, Saskatchewan, Canada
10. Constance Lake (wd:Q22535482): lake in Hoodoo No. 401, Saskatchewan, Canada

[Assistant]
The correct entity for Lake Constance in Europe is `wd:Q4127`. Now, let's find the countries that are connected to Lake Constance. We can use the property `wdt:P17` to find the countries associated with Lake Constance.

Let's execute a SPARQL query to find the countries around Lake Constance.

[Tool]
Got 3 rows and 1 column:
| country              |
| -------------------- |
| Germany (wd:Q183)    |
| Switzerland (wd:Q39) |
| Austria (wd:Q40)     |

[Assistant]
The SPARQL query returned the three countries that are located around Lake Constance: Germany, Switzerland, and Austria.

Now, let's count the number of these countries.

[Tool]
Got 1 row and 1 column:
| count       |
| ----------- |
| 3 (xsd:int) |

[Assistant]
The SPARQL query returned the count of countries around Lake Constance, which is 3.

Therefore, the answer to the question "How many countries are located around the European Lake Constance?" is 3.

Here is the final SPARQL query:

```sparql
SELECT (COUNT(DISTINCT ?country) AS ?count) WHERE {
  wd:Q4127 wdt:P17 ?country .
}
```

And the answer is 3.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
ASK {
  wd:Q9545 wdt:P2048 ?blairHeight .
  wd:Q10993 wdt:P2048 ?woodsHeight .
  FILTER ( ?blairHeight > ?woodsHeight )
}

No, Tony Blair is not taller than Tiger Woods.

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

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

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

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

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

[User] Is Tony Blair taller than Tiger Woods?

[Assistant] Let's start by looking at some similar examples.

[Tool] No examples found

[Assistant] Since no similar examples were found, we need to construct the query from scratch. We will first search for the entities "Tony Blair" and "Tiger Woods".

[Tool]
Top 10 entity alternatives:
1. Tony Blair, also known as Rt. Hon. Tony Blair, Sir Anthony Charles Lynton Blair, Sir Tony Blair, The Rt. Hon. Sir Anthony Charles Lynton Blair PC KC, Anthony Blair (wd:Q9545): Prime Minister of the United Kingdom from 1997 to 2007, autobiographer, politician, diplomat, lawyer
2. Tony Blair (wd:Q7821910): 1999 single by Chumbawamba
3. Tony Blair (wd:Q16429010)
4. Tony Blair (wd:Q28052457): painting by Alastair Adams
5. Tony Blair (wd:Q63892269): musical character in the musical TONY! The Blair Musical; the Prime Minister of the United Kingdom and lead figure of the musical
6. Tony Blair Institute (wd:Q30592102): non-profit organization
7. Tony Blair Associates (wd:Q17513270): organization
8. Tony Blair, MP (wd:Q119583376): painting by Philip Oliver Hale (b.1963), Parliamentary Art Collection
9. premiership of Tony Blair, also known as Blair administration (wd:Q7240404): period of the Government of the United Kingdom
10. The Trial of Tony Blair, also known as Trial of Tony Blair (wd:Q1741389): 2007 film

[Assistant] The correct entity for Tony Blair is the first one, `wd:Q9545`. Now let's search for Tiger Woods.

[Tool]
Top 10 entity alternatives:
1. Tiger Woods, also known as Woods, Tiger, Eldrick Tont Woods, Eldrick "Tiger" Woods, Eldrick Tont "Tiger" Woods (wd:Q10993): American golfer, animal trainer, writer, golfer
2. The Tiger Woods Story, also known as Tiger Woods Story (wd:Q7769261): 1998 television film directed by LeVar Burton
3. Tiger Woods Design (wd:Q7801498): company owned by Tiger Woods
4. Tiger Woods Foundation (wd:Q7801499): organization
5. Tiger Woods (book) (wd:Q55635855): book by Jeff Benedict
6. Phil Ivey, also known as Tiger Woods of Poker (wd:Q318464): American poker player, poker player
7. Tiger Woods PGA Tour (wd:Q2520425): golf videogame series
8. Tiger Woods PGA Tour (wd:Q7801501): 2009 video game
9. The Tiger Woods Dubai (wd:Q7769260)
10. Tiger Woods of Bengal (wd:Q27051671): 2016 film by Danny Mamik

[Assistant] The correct entity for Tiger Woods is the first one, `wd:Q10993`. Next, we need to find the property for height.

[Tool]
Top 10 property alternatives:
1. clearance, also known as span height, height of deck bottom, bridge height, height above water, height above valley floor (wd:P2793 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): distance between surface under bridge and bottom of a bridge deck
2. height, also known as heighth, size, depth over terrain (wd:P2048 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): vertical length of an entity, length
3. elevation above sea level, also known as MAMSL, MASL, height, elevation above mean sea level, elevation (wd:P2044 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): height of the item (geographical object) as measured relative to sea level
4. height of center of mass, also known as center of mass height, centre of gravity height, centre of mass height, CG height, CGZ (wd:P8497 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): distance between the center of gravity and the bottom of this object
5. duration, also known as time length, timespan, time span, time interval, runtime (wd:P2047 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): length of time of an event or process
6. length, also known as size, long, LOA, distance, dimension (wd:P2043 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): measured dimension of an object
7. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): area occupied by an object
8. width, also known as breadth, bus width, size (wd:P2049 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): width of an object, length
9. height of letters (wd:P12549 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): height of the letters of an inscription, height
10. entry height (wd:P13238 as pqn/pqv/psn/psv/prn/prv/p/pr/ps/pq/wdt/wdtn): height of the entrance above ground level for boarding vehicles

[Assistant]
The correct property for height is `wdt:P2048`. Now we can construct a SPARQL query to compare the heights of Tony Blair and Tiger Woods.

We will use an ASK query since the question is a yes/no question.

[Tool] False

[Assistant]
The SPARQL query has returned `False`, meaning that Tony Blair is not taller than Tiger Woods.

I will now provide the final answer.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?placeOfBirth ?placeOfBirthLabel WHERE {
  wd:Q26707663 wdt:P19 ?placeOfBirth .
  OPTIONAL {
    ?placeOfBirth rdfs:label ?placeOfBirthLabel .
    FILTER ( LANG( ?placeOfBirthLabel ) = 'en' )
  }
}

Got 1 row and 2 columns:
| placeOfBirth          | placeOfBirthLabel |
| --------------------- | ----------------- |
| Buri Ram (wd:Q327510) | Buri Ram (en)     |

Lisa Manoban was born in Buri Ram, Thailand.

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

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

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

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

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

[User] Where was K-pop star Lisa Manoban born?

[Assistant] Let's start by looking at some similar examples.

[Tool]
Example 1:
Question:
Where is Sungkyunkwan University?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  VALUES ?p {
    wdt:P17 wdt:P276 wdt:P131
  }
  wd:Q41085 ?p ?uri .
}

Using entities:
Sungkyunkwan University, also known as 성균관대학교 (wd:Q41085): private university in Seoul, South Korea

Using properties:
located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
country, also known as sovereign state, state, land, host country (wd:P17 as wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as wdt): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object

[Assistant] None of these examples directly match our question about the place of birth of Lisa Manoban. However, we can infer that we need to look for the place of birth property (P19) for the entity representing Lisa Manoban. Let's first search for the entity representing Lisa Manoban.

[Tool]
Top 10 entity alternatives:
1. Lisa, also known as Pranpriya Manobal, Lisa Manobal, Lalisa Manoban, Lalisa Manobal (wd:Q26707663): Thai rapper, singer, model, dancer and actress (born 1997), singer-songwriter, fashion model, photo model, songwriter, dancer, rapper, singer, actor, model
2. Lisa, also known as Lalisa Manoban, Lisa Manobal, Pranpriya Manobal, Lalisa Manobal (wd:Q26707663): Thai rapper, singer, model, dancer and actress (born 1997), singer-songwriter, fashion model, photo model, songwriter, dancer, rapper, singer, actor, model
3. Lisa Ann, also known as Valeska, Lisa Ann Murphy, Nailin Palin, Lisa Ann Vision, Valeska Encina (wd:Q233259): American pornographic actress, pornographic actor, radio personality, film director, talent agent, film actor, stripper, actor
4. Apple Lisa, also known as Lisa, The Lisa (wd:Q371482): personal computer by Apple Inc.
5. LiSA, also known as Risa Oribe, Oribe Risa, Love is Same All (wd:Q333333): Japanese singer-songwriter (born 1987), composer, singer
6. Laser Interferometer Space Antenna, also known as eLISA, Evolved Laser Interferometer Space Antenna, LISA (wd:Q841982): third large mission of Cosmic Vision; gravitational-wave space observatory
7. Lisa, also known as Lisza (wd:Q3242363): commune in Brașov County, Romania
8. Lisa (wd:Q12724902): commune in Teleorman County, Romania
9. Lisa (wd:Q2726275): village in Moravica District, Serbia
10. Lisa, also known as Lisa (given name), Lisa (first name) (wd:Q1588186): female given name

[Assistant] The top result, wd:Q26707663, seems to be the correct entity for Lisa Manoban. Now let's confirm that this entity has a place of birth property (P19).

[Tool]
Top 10 property alternatives:
1. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
2. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
4. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as p/wdt): the place where the person is or has been, resident, location
5. instrument, also known as uses this instrument, teaches instrument, instruments, plays this instrument, plays instrument (wd:P1303 as p/wdt): musical instrument that a person plays or teaches or used in a music occupation, uses
6. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
7. member of, also known as band member of, membership, member of musical group, in musical group, be member of (wd:P463 as p/wdt): organization, club or musical group to which the subject belongs...ical position, such as a member of parliament (use P39 for that), part of
8. pseudonym, also known as nom de plume, nom-de-plume, nome de guerre, pen name, ring name (wd:P742 as p/wdt): alias used by someone (for nickname use P1449), name
9. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as p/wdt): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
10. participant in, also known as participated in, present at, takes part, took part, took part in (wd:P1344 as p/wdt): event in which a person or organization was/is a participant; inverse of P710 or P1923, significant event, part of

No other items found

[Assistant]
The place of birth property (P19) is indeed associated with the entity representing Lisa Manoban. We can now construct a simple SPARQL query to retrieve her place of birth.

Let's execute the SPARQL query.

[Tool]
Got 1 row and 1 column:
| placeOfBirth          |
| --------------------- |
| Buri Ram (wd:Q327510) |

[Assistant]
The SPARQL query successfully returned the place of birth for Lisa Manoban, which is Buri Ram (wd:Q327510).

To provide a more complete answer, let's also fetch the label for Buri Ram.

[Tool]
Got 1 row and 2 columns:
| placeOfBirth          | placeOfBirthLabel |
| --------------------- | ----------------- |
| Buri Ram (wd:Q327510) | Buri Ram (en)     |

[Assistant]
The place of birth for Lisa Manoban is Buri Ram, Thailand. Here is the final SPARQL query and answer:

```sparql
SELECT ?placeOfBirth ?placeOfBirthLabel WHERE {
  wd:Q26707663 wdt:P19 ?placeOfBirth .
  OPTIONAL { ?placeOfBirth rdfs:label ?placeOfBirthLabel . FILTER(LANG(?placeOfBirthLabel) = 'en') }
}
```

Answer: Lisa Manoban was born in Buri Ram, Thailand.

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

[Tool] Stopped generation process