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 DISTINCT ?country ?countryLabel ?eurozoneMember WHERE {
  {
    wd:Q8268 wdt:P527 ?country .
  } UNION {
    VALUES ?country {
      wd:Q228 wd:Q235 wd:Q238 wd:Q237
    }
    ?country wdt:P31 / wdt:P279 * wd:Q3624078 .
  }
  OPTIONAL {
    wd:Q8268 wdt:P527 ?country .
    BIND( ?country AS ?eurozoneMember )
  }
  OPTIONAL {
    ?country rdfs:label ?countryLabel FILTER ( LANG( ?countryLabel ) = "en" )
  }
}
ORDER BY ?countryLabel

Using entities:
Andorra (wd:Q228), also known as AD, AND, Principality of Andorra, Principality of the Valleys of Andorra
Monaco (wd:Q235), also known as Fort-Hercule, mc, MON, Mùnegu, Principality and Diocese of Monaco, etc.
Vatican City (wd:Q237), also known as Città del Vaticano, Civitas Vaticana, Papal State, State of Vatican City, Stato della Città del Vaticano, etc.
San Marino (wd:Q238), also known as Most Serene Republic of San Marino, sm, SMR
sovereign state (wd:Q3624078), also known as country, nation, sovereign country, sovereign nation, Westphalian state
eurozone (wd:Q8268), also known as euro area, euroland, euro zone

Using properties:
subclass of (wd:P279 as wdt), also known as all members of this class also belong to, category of, form of, has superclass, is a class of, etc.
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.
has part(s) (wd:P527 as wdt), also known as amalgamation of, assembled from, assembled out of, composed of, comprised of, etc.

Got 24 rows and 3 columns, showing the first 5 and last 5 rows below:
| country                | countryLabel      | eurozoneMember     |
| ---------------------- | ----------------- | ------------------ |
| Andorra (wd:Q228)      | Andorra (en)      |                    |
| Austria (wd:Q40)       | Austria (en)      | Austria (wd:Q40)   |
| Belgium (wd:Q31)       | Belgium (en)      | Belgium (wd:Q31)   |
| Croatia (wd:Q224)      | Croatia (en)      | Croatia (wd:Q224)  |
| Cyprus (wd:Q229)       | Cyprus (en)       | Cyprus (wd:Q229)   |
| ...                    | ...               | ...                |
| San Marino (wd:Q238)   | San Marino (en)   |                    |
| Slovakia (wd:Q214)     | Slovakia (en)     | Slovakia (wd:Q214) |
| Slovenia (wd:Q215)     | Slovenia (en)     | Slovenia (wd:Q215) |
| Spain (wd:Q29)         | Spain (en)        | Spain (wd:Q29)     |
| Vatican City (wd:Q237) | Vatican City (en) |                    |

Answer:
I ran a Wikidata query that returns sovereign states that have adopted the euro either as members of the Eurozone (the 20 EU countries that use the euro) or as microstates with formal monetary agreements. The query returned 24 countries. They are:

Eurozone members (20): Austria (wd:Q40), Belgium (wd:Q31), Croatia (wd:Q224), Cyprus (wd:Q229), Estonia (wd:Q191), Finland (wd:Q33), France (wd:Q142), Germany (wd:Q183), Greece (wd:Q41), Ireland (wd:Q27), Italy (wd:Q38), Latvia (wd:Q211), Lithuania (wd:Q37), Luxembourg (wd:Q32), Malta (wd:Q233), Netherlands (wd:Q55), Portugal (wd:Q45), Slovakia (wd:Q214), Slovenia (wd:Q215), Spain (wd:Q29).

Microstates with formal agreements (4): Andorra (wd:Q228), Monaco (wd:Q235), San Marino (wd:Q238), Vatican City (wd:Q237).

Note: Some other countries/territories (e.g. Kosovo, Montenegro, Zimbabwe) use the euro in practice or alongside other currencies but are not included here because they are not eurozone members nor microstates with formal agreements in this query.

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

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

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

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

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

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

[User] Which countries adopted the Euro?

[Assistant] Step 1: I'll search for the Wikidata item for the euro (the currency) to get its identifier. I'll run an entity search for "euro".

[Tool]
Top 10 entity alternatives:
1. euro (wd:Q4916), also known as euros: currency of most countries in the European Union / official currency of some EU states / is instance of decimal currency / is instance of currency / European currency
2. Macropus robustus (wd:Q691473, matched via euro), also known as common wallaroo, euro, hill kangaroo, hill wallaroo, wallaroo: is instance of taxon / species of mammal
3. 100 euro note (wd:Q2903520, matched via 💶), also known as 💶, €100, 100 EUR: is subclass of euro banknote / euro banknote
4. 50 euro note (wd:Q2903535, matched via 💶), also known as 💶, €50, 50 EUR: is subclass of euro banknote / euro banknote
5. 5 euro note (wd:Q2406691, matched via 💶), also known as 💶, €5 banknote, €5 note, 5 EUR, 5 euro banknote: is subclass of euro banknote / euro banknote
6. 10 euro note (wd:Q2419695, matched via 💶), also known as 💶, €20, 10 EUR: is subclass of euro banknote / euro banknote
7. 20 euro note (wd:Q2741966, matched via 💶), also known as 💶, €20, 20 EUR: is subclass of euro banknote / euro banknote
8. European diaspora (wd:Q3819571, matched via Euro), also known as Euro, Eurodescendents: is instance of diaspora or migration by origin country/region/continent / European-descended people living outside Europe / is subclass of diaspora
9. Euro (wd:Q3734669): 1927 Turbine-class destroyer / is instance of destroyer / is instance of Destroyer
10. Euro (wd:Q3734668): Italian Lampo-class destroyer / is instance of destroyer / is instance of Destroyer

[Assistant] Step 2: I'll search for properties relating countries to their currency, such as "currency" or "official currency".

[Tool]
Top 10 property alternatives:
1. currency symbol description (wd:P489 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as P489: item with description of currency symbol / is subproperty of notation
2. ISO 4217 code (wd:P498 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via currency code), also known as currency code, ISO 4217, ISO 4217 alphabetic code, ISO currency code, P498: identifier for a currency per ISO 4217
3. currency (wd:P38 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as base currency, used money, P38: is subproperty of uses / currency used by item / currency used by item / currency used by item
4. price (wd:P2284 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via exchange rate), also known as cost, exchange rate, list price, MSRP, published price, etc.: published price listed or paid for a product (use with unit of currency)
5. ISO 3166-2 code (wd:P300 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as subdivision code ISO 3166-2, P300: identifier for a country subdivision per ISO 3166-2 (include country code) / identifier for a country subdivision per ISO 3166-2 (include country code)
6. ISO 3166-3 (wd:P773 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as Code for formerly used names of countries, P773: identifier for a country name that has been deleted from ISO 3166-1 since its first publication in 1974
7. face value (wd:P3934 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via coin value), also known as coin value, numeric value of coin, value of coin, P3934: value printed on a coin, stamp or banknote by the issuing authority
8. TASS Encyclopedia country ID (wd:P10541 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as P10541: identifier of a country in the TASS Encyclopedia
9. ISO 3166-1 numeric code (wd:P299 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via ISO 3166-1), also known as country code (ISO 3166-1 numeric), country code ISO 3166-1 numeric, ISO 3166-1, P299: identifier for a country in numeric format per ISO 3166-1 / identifier for a country in numeric format per ISO 3166-1
10. country of citizenship (wd:P27 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via subject of (country)), also known as citizen of, citizenship, country, (legal) nationality, nation, etc.: the object is a country that recognizes the subject as its citizen / the object is a country that recognizes the subject as its citizen / is subproperty of country

[Assistant] I'll check which items use the property 'currency' (wdt:P38) with euro (wd:Q4916) to see how countries and territories are modeled. I'll list triples with property P38 and object wd:Q4916.

[Tool]
Got 120 rows and 3 columns, showing the first 10 rows below:
| subject              | property           | object          |
| -------------------- | ------------------ | --------------- |
| Italy (wd:Q38)       | currency (wdt:P38) | euro (wd:Q4916) |
| Germany (wd:Q183)    | currency (wdt:P38) | euro (wd:Q4916) |
| France (wd:Q142)     | currency (wdt:P38) | euro (wd:Q4916) |
| Finland (wd:Q33)     | currency (wdt:P38) | euro (wd:Q4916) |
| Spain (wd:Q29)       | currency (wdt:P38) | euro (wd:Q4916) |
| Greece (wd:Q41)      | currency (wdt:P38) | euro (wd:Q4916) |
| Austria (wd:Q40)     | currency (wdt:P38) | euro (wd:Q4916) |
| Belgium (wd:Q31)     | currency (wdt:P38) | euro (wd:Q4916) |
| Netherlands (wd:Q55) | currency (wdt:P38) | euro (wd:Q4916) |
| Portugal (wd:Q45)    | currency (wdt:P38) | euro (wd:Q4916) |
| ...                  | ...                | ...             |

[Assistant] I'll run a SPARQL query that finds items whose currency (wdt:P38) is the euro (wd:Q4916) and that are instances (P31) of a country (Q6256) or a subclass thereof. I'll request English labels as optional.

[Tool]
Got 76 rows and 2 columns, showing the first 5 and last 5 rows below:
| country                | countryLabel      |
| ---------------------- | ----------------- |
| Andorra (wd:Q228)      | Andorra (en)      |
| Andorra (wd:Q228)      | Andorra (en)      |
| Austria (wd:Q40)       | Austria (en)      |
| Austria (wd:Q40)       | Austria (en)      |
| Austria (wd:Q40)       | Austria (en)      |
| ...                    | ...               |
| Vatican City (wd:Q237) | Vatican City (en) |
| Verdis (wd:Q73330139)  | Verdis (en)       |
| Zimbabwe (wd:Q954)     | Zimbabwe (en)     |
| Zimbabwe (wd:Q954)     | Zimbabwe (en)     |
| Zimbabwe (wd:Q954)     | Zimbabwe (en)     |

[Assistant] I'll search for the Wikidata item for 'sovereign state' to use as a filter.

[Tool]
Top 10 entity alternatives:
1. sovereign state (wd:Q3624078), also known as country, nation, sovereign country, sovereign nation, Westphalian state: political organisation with a centralised independent government / political organisation with a centralised independent government / state that has the highest authority over a territory / is subclass of country / is subclass of state
2. Westphalian sovereignty (wd:Q442402, matched via state sovereignty), also known as state sovereignty, Westphalian system: concept of the sovereignty of nation-states in Europe / is subclass of world order / is instance of model
3. state sovereignty (wd:Q56350990), also known as national sovereignty
4. The Sovereign State (wd:Q7765603): is instance of literary work / book by Anthony Sampson
5. State Sovereignty Day (wd:Q130322685): Day commemorated in honor of the restoration of the ... Republic of Azerbaijan following the Anti-Terror Operation / is instance of holiday
6. Sovereign State of Forvik (wd:Q2011058): micronation founded on Forewick Holm in 2008 by Stuart Hill / is instance of micronation
7. Indonesian Sovereign State Party (wd:Q106361064), also known as Pandai Party: political party in Indonesia
8. Act on the national emblems of the state of Baden-Württemberg (wd:Q123225392, matched via State Sovereign Signs Act), also known as Land Sovereignty Signs Act, State Sovereign Signs Act: German state law on the design and use of the national emblems of the state of Baden-Württemberg / German state law on the design and use of the national emblems of the state of Baden-Württemberg / is instance of state law
9. New Union Treaty (wd:Q218877, matched via Union of Sovereign States), also known as Union of Sovereign States, Union of Soviet Sovereign Republics: is instance of proposed state merger / is instance of document / is instance of concept / draft treaty of 1991
10. Sovereign State of Aeterna Lucina (wd:Q7571613), also known as Aeterna Lucina: is instance of micronation / Micronation

[Assistant] I'll refine the query to only include sovereign states (wd:Q3624078) and to deduplicate results. I'll also include countries where the euro is an 'official currency' (P41? wait - need to check property for official currency). I'll search for 'official currency' property.

[Tool]
Top 10 property alternatives:
1. currency (wd:P38 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as base currency, used money, P38: is subproperty of uses / currency used by item / currency used by item / currency used by item
2. ISO 4217 code (wd:P498 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via currency code), also known as currency code, ISO 4217, ISO 4217 alphabetic code, ISO currency code, P498: identifier for a currency per ISO 4217
3. face value (wd:P3934 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via coin value), also known as coin value, numeric value of coin, value of coin, P3934: value printed on a coin, stamp or banknote by the issuing authority
4. prize money (wd:P2121 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via money), also known as money, purse, value, P2121: amount in a specific currency / amount in a specific currency
5. currency symbol description (wd:P489 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as P489: item with description of currency symbol / is subproperty of notation
6. central bank (wd:P1304 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as P1304: country's central bank
7. characteristic of (wd:P13044 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via property of), also known as inheres in, of, property of, quality of, P13044: (qualifier only) statement value is a characteristic, quality, property, or state of this qualifier value
8. location of creation (wd:P1071 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via mint), also known as assembly location, built at, built in, composed at, created at, etc.: place where the item was conceived or made; where applicable, location of final assembly / is subproperty of significant place
9. net worth (wd:P2218 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via wealth), also known as declared patrimony, estimated net worth, net wealth, net worth estimate, personal assets, etc.: totality of wealth possessed by a person
10. capital of (wd:P1376 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via capital), also known as administrative seat of, capital, county seat for, county seat of, is capital of, etc.: country, state, department, canton or other administrative division of which the municipality is the governmental seat / country, state, department, canton or other administrative division of which the municipality is the governmental seat / country, state, department, canton or other administrative division of which the municipality is the governmental seat / is subproperty of located in the administrative territorial entity

[Assistant]
The property 'currency' (P38) is correct. I'll craft a SPARQL SELECT query that lists distinct sovereign states with wdt:P38 wd:Q4916. I'll ensure results are unique and include labels. Then I'll execute it. I'll explain the plan before execution.
Plan: Query for items that are instance of sovereign state (wd:Q3624078) and have currency (wdt:P38) equal to euro (wd:Q4916). Return their IRIs and English labels. Then run the query.

[Tool]
Got 29 rows and 2 columns, showing the first 5 and last 5 rows below:
| country                | countryLabel      |
| ---------------------- | ----------------- |
| Andorra (wd:Q228)      | Andorra (en)      |
| Austria (wd:Q40)       | Austria (en)      |
| Belgium (wd:Q31)       | Belgium (en)      |
| Croatia (wd:Q224)      | Croatia (en)      |
| Cyprus (wd:Q229)       | Cyprus (en)       |
| ...                    | ...               |
| Slovenia (wd:Q215)     | Slovenia (en)     |
| Spain (wd:Q29)         | Spain (en)        |
| Vatican City (wd:Q237) | Vatican City (en) |
| Verdis (wd:Q73330139)  | Verdis (en)       |
| Zimbabwe (wd:Q954)     | Zimbabwe (en)     |

[Assistant] I'll search for properties related to 'legal tender' or 'official' to better restrict to countries that officially adopted the euro.

[Tool]
Top 10 property alternatives:
1. currency symbol description (wd:P489 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as P489: item with description of currency symbol / is subproperty of notation
2. ISO 4217 code (wd:P498 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via currency code), also known as currency code, ISO 4217, ISO 4217 alphabetic code, ISO currency code, P498: identifier for a currency per ISO 4217
3. currency (wd:P38 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as base currency, used money, P38: is subproperty of uses / currency used by item / currency used by item / currency used by item
4. face value (wd:P3934 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via coin value), also known as coin value, numeric value of coin, value of coin, P3934: value printed on a coin, stamp or banknote by the issuing authority
5. central bank/issuer (wd:P562 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as authority, issuer, issuing authority, P562: central bank or other issuing authority for the currency
6. Coinage of the Roman Republic Online ID (wd:P4455 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as CRRO, RRC, P4455: identifier of a coin in the Coinage of the Roman Republic ... Crawford's 1974 publication Roman Republican Coinage (RRC)
7. TASS Encyclopedia country ID (wd:P10541 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as P10541: identifier of a country in the TASS Encyclopedia
8. central bank (wd:P1304 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as P1304: country's central bank
9. price (wd:P2284 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via exchange rate), also known as cost, exchange rate, list price, MSRP, published price, etc.: published price listed or paid for a product (use with unit of currency)
10. ISO 3166-2 code (wd:P300 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as subdivision code ISO 3166-2, P300: identifier for a country subdivision per ISO 3166-2 (include country code) / identifier for a country subdivision per ISO 3166-2 (include country code)

[Assistant] The simple country wdt:P38 approach yields entities beyond EU members (e.g., Zimbabwe uses the euro unofficially or in parallel). The user asked "Which countries adopted the Euro?" That generally refers to countries that adopted the euro as their official currency. On Wikidata, 'currency' P38 indicates used currency, but might include unofficial use. There may be a qualifier for 'start time' or 'legal tender' or a property like 'legal tender' — check for statements on a country with P38 and qualifiers. I'll inspect one example, Montenegro or Andorra.

[Tool]
Got 2,000 rows and 3 columns, showing the first 10 rows below:
| subject           | property                       | object                                                                                |
| ----------------- | ------------------------------ | -------------------------------------------------------------------------------------------- |
| Andorra (wd:Q228) | instance of (wdt:P31)          | sovereign state (wd:Q3624078)                                                                |
| Andorra (wd:Q228) | country (wdt:P17)              | Andorra (wd:Q228)                                                                            |
| Andorra (wd:Q228) | coordinate location (wdt:P625) | POINT(1.555278 42.558333) (geo:wktLiteral)                                                   |
| Andorra (wd:Q228) | Commons category (wdt:P373)    | Andorra                                                                                |
| Andorra (wd:Q228) | image (wdt:P18)                | <http://commons.wikimedia.org/wiki/Special:FilePath/Andorra%20la%20Vella%20-%20footpath.jpg> |
| Andorra (wd:Q228) | part of (wdt:P361)             | Catalan Countries (wd:Q234963)                                                               |
| Andorra (wd:Q228) | Freebase ID (wdt:P646)         | /m/0hg5                                                                                |
| Andorra (wd:Q228) | GeoNames ID (wdtn:P1566)       | <https://sws.geonames.org/3041565/>                                                          |
| Andorra (wd:Q228) | population (wdt:P1082)         | 87097 (xsd:decimal)                                                                          |
| Andorra (wd:Q228) | inception (wdt:P571)           | 1278-01-01T00:00:00Z (xsd:dateTime)                                                          |
| ...               | ...                            | ...                                                                                |

[Assistant] Search for statements where country wd:Q228 has P38 with qualifiers.

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

[Assistant] I'll try a simpler query listing statements for Andorra's currency property using list function earlier showed many rows but not qualifiers. I'll search for other known adopters like Germany to see qualifiers.

[Tool]
Got 1 row and 3 columns:
| subject           | property           | object          |
| ----------------- | ------------------ | --------------- |
| Germany (wd:Q183) | currency (wdt:P38) | euro (wd:Q4916) |

[Assistant] Given performance issues for qualifiers, a pragmatic approach: There are widely recognized lists — eurozone members (countries using euro as their sole official currency). On Wikidata, there's an item "Eurozone" wd:Q19399 or "Eurozone" maybe Q21185? Let's search for 'eurozone'.

[Tool]
Top 10 entity alternatives:
1. eurozone (wd:Q8268), also known as euro area, euroland, euro zone: region of EU countries using the Euro / is instance of currency union
2. European sovereign-debt crisis (wd:Q217197, matched via Eurozone crisis), also known as European debt crisis, European sovereign debt crisis, Eurozone crisis, Eurozone debt crisis: multi-year debt crisis in multiple EU countries since late 2009 / is instance of debt crisis
3. enlargement of the eurozone (wd:Q1194405, matched via eurozone enlargement), also known as euro adoption, eurozone enlargement, eurozone expansion, eurozone's enlargement, expansion of the eurozone: process of additional EU countries adopting the euro in place of their national currency / is subclass of diffusion / is subclass of increase
4. Eurobond (wd:Q632059, matched via Eurobond (eurozone)), also known as Eurobond (eurozone): type of government bond jointly issued by eurozone countries / is subclass of financial product / is subclass of bond
5. economy of Eurozone (wd:Q100874038, matched via economy (Eurozone)), also known as economy (Euroland), economy (Eurozone), economy of Euroland, economy of the Euroland, economy of the Eurozone, etc.: economy of the Euro countries of the European Union / is subclass of economy of the European Union / is instance of regional economy
6. Eurozone Annual GDP (wd:Q55590188), also known as Euro Area Annual GDP: is subclass of gross domestic product / European economic indicator
7. President of the Eurogroup (wd:Q20007743, matched via President of the Eurozone), also known as President of the Eurozone: is instance of position
8. withdrawal from the Eurozone (wd:Q25037303): is subclass of secession
9. Eurozone approves Greece bailout (wd:Q18021338): is instance of Wikinews article / Wikinews article / Wikinews article
10. Zinswende in der Eurozone (wd:Q128531521): is instance of scholarly article / is instance of academic article / scholarly article

[Assistant] I'll inspect the eurozone (wd:Q8268) to see members.

[Tool]
Got 535 rows and 3 columns, showing the first 10 rows below:
| subject             | property                    | object                                                         |
| ------------------- | --------------------------- | -------------------------------------------------------------- |
| eurozone (wd:Q8268) | instance of (wdt:P31)       | currency union (wd:Q1125321)                                   |
| eurozone (wd:Q8268) | Commons category (wdt:P373) | Eurozone                                                       |
| eurozone (wd:Q8268) | Freebase ID (wdt:P646)      | /m/0195tf                                                      |
| eurozone (wd:Q8268) | population (wdt:P1082)      | 341465149 (xsd:decimal)                                        |
| eurozone (wd:Q8268) | inception (wdt:P571)        | 1999-01-01T00:00:00Z (xsd:dateTime)                            |
| eurozone (wd:Q8268) | VIAF cluster ID (wdtn:P214) | <http://viaf.org/viaf/295152138683110982481>                   |
| eurozone (wd:Q8268) | has part(s) (wdt:P527)      | Italy (wd:Q38)                                                 |
| eurozone (wd:Q8268) | GND ID (wdtn:P227)          | <https://d-nb.info/gnd/7553526-9>                              |
| eurozone (wd:Q8268) | official website (wdt:P856) | <https://ec.europa.eu/info/business-economy-euro/euro-area_en> |
| eurozone (wd:Q8268) | ISNI (wdt:P213)             | 0000000122371847                                               |
| ...                 | ...                         | ...                                                            |

[Assistant] The eurozone item has has part (P527) listings for member countries. I'll query those parts. Plan: Select items that are parts of wd:Q8268 and are instances of sovereign state, return IRIs and labels. Then execute.

[Tool]
Got 19 rows and 2 columns, showing the first 5 and last 5 rows below:
| country            | countryLabel  |
| ------------------ | ------------- |
| Austria (wd:Q40)   | Austria (en)  |
| Belgium (wd:Q31)   | Belgium (en)  |
| Croatia (wd:Q224)  | Croatia (en)  |
| Cyprus (wd:Q229)   | Cyprus (en)   |
| Estonia (wd:Q191)  | Estonia (en)  |
| ...                | ...           |
| Malta (wd:Q233)    | Malta (en)    |
| Portugal (wd:Q45)  | Portugal (en) |
| Slovakia (wd:Q214) | Slovakia (en) |
| Slovenia (wd:Q215) | Slovenia (en) |
| Spain (wd:Q29)     | Spain (en)    |

[Assistant] 19 countries returned — these are the eurozone members (EU countries using the euro as their official currency). The user asked "Which countries adopted the Euro?" That could mean any country which adopted the euro as its official currency (including microstates with formal agreements: Andorra, Monaco, San Marino, Vatican City, plus EU members). The eurozone parts contain EU members; microstates like Andorra and Vatican are not parts of eurozone but have agreements. I should compile a comprehensive list: eurozone members (19) plus microstates with formal agreements (Andorra, Monaco, San Marino, Vatican City) and possibly Kosovo and Montenegro (use euro unilaterally) — do those count as 'adopted'? The user likely expects countries that have adopted the euro as their official currency — I'd include eurozone members and the microstates, and note Montenegro and Kosovo use it without formal agreement. But the instructions require the SPARQL query to return identifiers and must execute it before answering. I need a query that returns countries that have adopted the euro as their official currency. How to model 'official' formally? On Wikidata: property 'currency' P38 with qualifier 'start time' P580 or 'replaced by' maybe. Alternatively, use membership in eurozone (P527) OR 'currency' P38 = euro and is instance of sovereign state and either is part of Eurozone (P527) OR has a 'monetary agreement' property? There is property 'currency union' or 'has monetary agreement' — search for 'monetary agreement' or 'monetary agreement with' property.

[Tool]
Top 10 property alternatives:
1. currency (wd:P38 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as base currency, used money, P38: is subproperty of uses / currency used by item / currency used by item / currency used by item
2. ISO 4217 code (wd:P498 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via currency code), also known as currency code, ISO 4217, ISO 4217 alphabetic code, ISO currency code, P498: identifier for a currency per ISO 4217
3. price (wd:P2284 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via exchange rate), also known as cost, exchange rate, list price, MSRP, published price, etc.: published price listed or paid for a product (use with unit of currency)
4. EU Participant Identification Code (wd:P5785 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via EU PIC), also known as EU PIC, PIC, P5785: ID of organization in EU's Framework Programs for Research / ID of organization participating in EU programmes
5. equivalent property (wd:P1628 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via owl:equivalentProperty), also known as ontological equivalent, owl:equivalentProperty, schema.org property, P1628: equivalent property in other ontologies (use in statements on properties, use property URI) / is subproperty of exact match / is subproperty of URL
6. central bank (wd:P1304 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as P1304: country's central bank
7. prize money (wd:P2121 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via money), also known as money, purse, value, P2121: amount in a specific currency / amount in a specific currency
8. foundational text (wd:P457 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via treaty), also known as charter, constitution, constitutive text, created by, created in document, etc.: text through which an institution or object has been created or established / text through which an institution has been created
9. Fauna Europaea ID (wd:P1895 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via EU-nomen ID), also known as EU-nomen ID, EU Nomen ID, P1895: identifier for a taxon in Fauna Europaea
10. currency symbol description (wd:P489 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as P489: item with description of currency symbol / is subproperty of notation

[Assistant]
No specific 'monetary agreement' property is found by that search. However microstates can have P38 = euro too. Kosovo and Montenegro have P38 = euro in Wikidata as seen earlier; they are sovereign states but not part of eurozone. The user's question is ambiguous: they might expect a list of countries that officially use/adopted the euro. I'll produce a query that returns:
- All sovereign states (wd:Q3624078) where wdt:P38 = wd:Q4916 (currency euro).
- Also include EU members that are part of eurozone using parts of wd:Q8268 — but those are already included by P38.
We need to ensure we deduplicate and perhaps include a column indicating if country is member of eurozone (wd:Q8268) via being 'has part' or 'part of' — relationship: eurozone wdt:P527 ?country. So we can OPTIONAL include a boolean? But must avoid extra computation outside SPARQL. I'll include an OPTIONAL triple that checks if wd:Q8268 wdt:P527 ?country and returns ?inEurozone label 'yes' or boolean? SPARQL can produce a bound variable check. Simpler: include OPTIONAL { wd:Q8268 wdt:P527 ?country } and return ?eurozoneMember if bound true.

I'll craft query returning ?country ?countryLabel and ?eurozoneMember (bound as country IRI if member). Execute.

Plan explanation before executing. Then execute final query and present results listing countries and note which are Eurozone members vs using euro without formal membership. Must explain thought process before and after function calls per developer instructions.

Let's prepare to call execute.
Plan: Run a SPARQL query that finds all sovereign states with currency (wdt:P38) equal to euro (wd:Q4916). Also optionally check whether they're listed as parts (wdt:P527) of the Eurozone (wd:Q8268). The query will return the country IRIs, English labels, and an optional eurozone membership indicator. I'll execute it now.

[Tool]
Got 29 rows and 3 columns, showing the first 5 and last 5 rows below:
| country                | countryLabel      | eurozoneMember     |
| ---------------------- | ----------------- | ------------------ |
| Andorra (wd:Q228)      | Andorra (en)      |                    |
| Austria (wd:Q40)       | Austria (en)      | Austria (wd:Q40)   |
| Belgium (wd:Q31)       | Belgium (en)      | Belgium (wd:Q31)   |
| Croatia (wd:Q224)      | Croatia (en)      | Croatia (wd:Q224)  |
| Cyprus (wd:Q229)       | Cyprus (en)       | Cyprus (wd:Q229)   |
| ...                    | ...               | ...                |
| Slovenia (wd:Q215)     | Slovenia (en)     | Slovenia (wd:Q215) |
| Spain (wd:Q29)         | Spain (en)        | Spain (wd:Q29)     |
| Vatican City (wd:Q237) | Vatican City (en) |                    |
| Verdis (wd:Q73330139)  | Verdis (en)       |                    |
| Zimbabwe (wd:Q954)     | Zimbabwe (en)     |                    |

[Assistant]
The query returns 29 sovereign states that have euro listed as currency. It includes expected members (19 eurozone members), microstates (Andorra, Monaco, San Marino, Vatican City), and others like Kosovo, Montenegro, Zimbabwe, and Verdis (a fictional or obscure entity) — need to filter out non-recognized or unofficial users. The user likely wants countries that officially adopted the euro; that would be eurozone members (19) + microstates with formal monetary agreements (Andorra, Monaco, San Marino, Vatican City) = 23 sovereign states. Kosovo and Montenegro use euro unilaterally but not by agreement; Zimbabwe uses it informally; Verdis appears fictional or unrecognized.

We should refine the query to return only those countries that either are part of Eurozone (wd:Q8268 wdt:P527 ?country) OR have an agreement with the EU/mint? How to detect formal agreements? On microstates, their P38= euro and they have 'has central bank' or 'official website' maybe there is property 'monetary union' or 'has official currency' qualifier. But easier: explicitly include Andorra (Q228), Monaco (Q235), San Marino (Q225), Vatican City (Q237) with an OR. But the developer rules: "Do not just use or make up IDs without verifying existence" — I have their IDs from earlier list. So we can write a query that selects sovereign states where (?country is part of eurozone) OR (?country in set {Andorra,San Marino,Monaco,Vatican}) — that will give 23 results. Let's confirm IDs: Andorra Q228, Monaco Q235, San Marino Q225, Vatican Q237 — we saw Andorra, Vatican earlier; Monaco and San Marino we should confirm search.

[Tool]
Top 10 entity alternatives:
1. Monaco (wd:Q235), also known as Fort-Hercule, mc, MON, Mùnegu, Principality and Diocese of Monaco, etc.: sovereign city-state on the French Riviera / sovereign city-state on the French Riviera / principality in Southern Europe / principality in Southern Europe / is instance of sovereign state
2. AS Monaco FC (wd:Q180305, matched via Monaco), also known as A.S.M.F.C., ASMFC, A.S. Monaco, AS Monaco, ASMonaco, etc.: is instance of association football club / association football club in Monaco / is instance of soccer club
3. Monaco City (wd:Q55115, matched via Monaco), also known as City of Monaco, Monaco, Monaco-Ville: ward and capital city of the Principality of Monaco / is instance of quarter or sector of Monaco / is instance of quarter of Monaco / is instance of reserved sector
4. Monaco (wd:Q1943982): is instance of musical group / English rock band
5. Monaco: What's Yours Is Mine (wd:Q3320085, matched via Monaco), also known as Monaco: is instance of video game / 2013 video game / 2013 video game / 2013 video game
6. Monaco (wd:Q246407): is subclass of monospaced typeface / is subclass of sans-serif typeface / is instance of typeface family / monospaced typeface
7. Monaco (wd:Q3262593): is subclass of beer cocktail / cocktail with beer
8. Monaco (wd:Q123120277): is instance of musical work/composition / 2023 single by Bad Bunny
9. Monaco (wd:Q24885273), also known as Monaco, New Zealand: suburb of Nelson, New Zealand / suburb of Nelson, New Zealand / suburb of Nelson, New Zealand / is instance of suburb
10. Monaco (wd:Q16861797), also known as Monaco (surname): is instance of occupational surname / is instance of family name / is instance of surname / family name / family name / surname

[Tool]
Top 10 entity alternatives:
1. San Marino (wd:Q238), also known as Most Serene Republic of San Marino, sm, SMR: sovereign state in southern Europe, enclaved within Italy / sovereign state in southern Europe, enclaved within Italy / Enclaved European microstate surrounded by Italy / is instance of Mediterranean country / is instance of landlocked country / is instance of sovereign state / is instance of microstate / is instance of enclave
2. San Marino (wd:Q1848), also known as City of San Marino: is instance of municipality of San Marino / is instance of border city / capital city of San Marino / is instance of city
3. San Marino (wd:Q850869), also known as San Marino, CA, San Marino, California: city in Los Angeles County, California, United States / is instance of city in the United States / is instance of city of the United States
4. San Marino (wd:Q18506869): settlement in the Italian municipality of Valbrenta / is instance of human settlement
5. San Marino (wd:Q18438670): is instance of neighbourhood / human settlement in Italy / is instance of frazione
6. San Marino (wd:Q27987016): church building in Pavia, Italy / is instance of church building / is instance of church
7. San Marino (wd:Q18455251): is instance of human settlement
8. San Marino (wd:Q18440293): is instance of human settlement
9. San Marino (wd:Q18495013): is instance of neighbourhood / is instance of frazione
10. San Marino (wd:Q20526277): is instance of islet / islet in Croatia

[Assistant]
San Marino search returned Q238 for country; earlier I thought Q225 — that may have been wrong. Need correct IDs: Andorra Q228, San Marino Q238, Monaco Q235, Vatican Q237. San Marino is Q238. Also verify Montenegro Q236? Wait Montenegro is Q236 yes. Kosovo Q2116 I think. But we won't include those.

I'll craft final SPARQL: select distinct ?country ?countryLabel ?eurozoneMember where:
?country wdt:P31/wdt:P279* wd:Q3624078 .
FILTER(
  ?country IN (the eurozone members via being part of wd:Q8268 OR in the list)
)
But SPARQL doesn't support IN with a subquery easily. Better: pattern:

{
  wd:Q8268 wdt:P527 ?country .
}
UNION
{
  VALUES ?country { wd:Q228 wd:Q235 wd:Q238 wd:Q237 }
  ?country wdt:P31/wdt:P279* wd:Q3624078 .
}

Then optional label, optional eurozoneMember binding. That will list 19 from eurozone + 4 = 23. Let's construct and execute.

Plan explanation then execution.

[Tool]
Got 24 rows and 3 columns, showing the first 5 and last 5 rows below:
| country                | countryLabel      | eurozoneMember     |
| ---------------------- | ----------------- | ------------------ |
| Andorra (wd:Q228)      | Andorra (en)      |                    |
| Austria (wd:Q40)       | Austria (en)      | Austria (wd:Q40)   |
| Belgium (wd:Q31)       | Belgium (en)      | Belgium (wd:Q31)   |
| Croatia (wd:Q224)      | Croatia (en)      | Croatia (wd:Q224)  |
| Cyprus (wd:Q229)       | Cyprus (en)       | Cyprus (wd:Q229)   |
| ...                    | ...               | ...                |
| San Marino (wd:Q238)   | San Marino (en)   |                    |
| Slovakia (wd:Q214)     | Slovakia (en)     | Slovakia (wd:Q214) |
| Slovenia (wd:Q215)     | Slovenia (en)     | Slovenia (wd:Q215) |
| Spain (wd:Q29)         | Spain (en)        | Spain (wd:Q29)     |
| Vatican City (wd:Q237) | Vatican City (en) |                    |

[Tool] Stopping


PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX psv: <http://www.wikidata.org/prop/statement/value/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wikibase: <http://wikiba.se/ontology#>
SELECT ?mountain ?mountainLabel ?elevation_m WHERE {
  ?mountain wdt:P31 / wdt:P279 * wd:Q8502 .
  ?mountain wdt:P17 wd:Q408 .
  ?mountain p:P2044 ?eStmt .
  ?eStmt psv:P2044 ?vnode .
  OPTIONAL {
    ?vnode wikibase:quantityNormalized ?norm .
    ?norm wikibase:quantityAmount ?normAmount .
    ?norm wikibase:quantityUnit wd:Q11573 .
  }
  OPTIONAL {
    ?vnode wikibase:quantityAmount ?amount .
    ?vnode wikibase:quantityUnit wd:Q11573 .
  }
  BIND( xsd:decimal ( COALESCE ( ?normAmount , ?amount ) ) AS ?elevation_m ) OPTIONAL {
    ?mountain rdfs:label ?mountainLabel .
    FILTER ( LANG( ?mountainLabel ) = "en" )
  }
}
ORDER BY DESC ( ?elevation_m )
LIMIT 10

Using entities:
metre (wd:Q11573), also known as m, mètre, metres
Australia (wd:Q408), also known as AU, AUS, Aussieland, Commonwealth of Australia, Down Under, etc.
mountain (wd:Q8502), also known as mount, mountains, mt., mtn.

Using properties:
country (wd:P17 as wdt), also known as host country, land, sovereign state, state, P17
elevation above sea level (wd:P2044 as psv/p), also known as altitude, AMSL, EASL, elevation, elevation above mean sea level, etc.
subclass of (wd:P279 as wdt), also known as all members of this class also belong to, category of, form of, has superclass, is a class of, etc.
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.

Got 10 rows and 3 columns:
| mountain                      | mountainLabel         | elevation_m        |
| ----------------------------- | --------------------- | ------------------ |
| Mawson Peak (wd:Q2114101)     | Mawson Peak (en)      | 2745 (xsd:decimal) |
| Mawson Peak (wd:Q2114101)     | Mawson Peak (en)      | 2745 (xsd:decimal) |
| Big Ben (wd:Q858516)          | Big Ben (en)          | 2745 (xsd:decimal) |
| Campbell Peak (wd:Q5028131)   | Campbell Peak (en)    | 2415 (xsd:decimal) |
| Dome (wd:Q25267321)           | Dome (en)             | 2410 (xsd:decimal) |
| Fremantle Peak (wd:Q5501498)  | Fremantle Peak (en)   | 2375 (xsd:decimal) |
| Budd Peak (wd:Q4984113)       | Budd Peak (en)        | 2315 (xsd:decimal) |
| Mount Kosciuszko (wd:Q178167) | Mount Kosciuszko (en) | 2228 (xsd:decimal) |
| Mount Townsend (wd:Q542041)   | Mount Townsend (en)   | 2209 (xsd:decimal) |
| Mount Twynam (wd:Q6924231)    | Mount Twynam (en)     | 2195 (xsd:decimal) |

Answer: The query returns Mawson Peak (wd:Q2114101) as the highest mountain in Australia with an elevation of 2745 m. (If you mean the Australian mainland only, the highest is Mount Kosciuszko (wd:Q178167) at 2228 m.)

What is the highest mountain in Australia?

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

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

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

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

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

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

[User] What is the highest mountain in Australia?

[Assistant] I will search Wikidata for the entity for "mountain" and for relevant properties such as elevation and country. Then I will build a SPARQL query that finds mountains located in Australia and returns the one with the highest elevation. I'll start by searching for the "mountain" entity.

[Tool]
Top 10 entity alternatives:
1. mountain (wd:Q8502), also known as mount, mountains, mt., mtn.: large landform that stretches above the surrounding land / large landform that stretches above the surrounding land / large natural elevation of the Earth's surface / is subclass of natural geographic object / is instance of geographical feature / is instance of geographical object / is instance of feature type / is subclass of elevation
2. Mountain (wd:Q1255792): is instance of musical group / American band
3. Mountain (wd:Q2032181), also known as Mountain, ND, Mountain, North Dakota: is instance of city of the United States / is instance of city in the United States / city in North Dakota, USA
4. Mountain (wd:Q1885759), also known as Town of Mountain: is instance of civil town of Wisconsin / civil town in Oconto County, Wisconsin
5. The Mountain (wd:Q910112, matched via Mountain), also known as Mountain: 1956 film by Edward Dmytryk / is instance of film
6. The Mountain (wd:Q1192451, matched via Mountain), also known as Mountain: 1991 film by Markus Imhoof / is instance of film
7. Mountain (wd:Q13422857): is instance of census-designated place in the United States / human settlement in Wisconsin, United States of America / is instance of census-designated place
8. 4-8-2 (wd:Q1473477, matched via Mountain), also known as 241, 2D1, 4/7, Mohawk, Mountain: is instance of Wheel arrangement / is instance of wheel arrangement / locomotive wheel arrangement / locomotive wheel arrangement / is subclass of locomotive
9. Mountain (wd:Q29293936): 2014 simulation video game / is instance of video game / 2014 video game / 2014 video game
10. The Mountain (wd:Q7752476, matched via Mountain), also known as Dag 2, Mountain: 2012 Turkish film by Alper Çağlar / is instance of film

[Assistant] I will search Wikidata for the property that records elevation (height above sea level), commonly P2044. I'll look up the property by searching for "elevation".

[Tool]
Top 10 property alternatives:
1. elevation above sea level (wd:P2044 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via elevation), also known as altitude, AMSL, EASL, elevation, elevation above mean sea level, etc.: height of the item (geographical object) as measured relative to sea level / height of the item as measured relative to sea level / height of the item as measured relative to sea level
2. highest point (wd:P610 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via elevation of highest point), also known as elevation of highest point, extreme point highest, highest peak, pinnacle, summit, etc.: point with the highest elevation in the country, region, city, town, or area / point with highest elevation in the country, region, city or area / point with highest elevation in a region or path / is subproperty of has part(s) / is subproperty of has part
3. cumulative elevation gain (wd:P7297 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as P7297: measure of the difference in height between two points on the terrain, when following a track
4. ride height (wd:P8594 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as ground clearance, P8594: ground clearance of vehicle or distance between the base of a vehicle tire and the lowest point
5. maximum operating altitude (wd:P2254 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via maximum altitude), also known as ceiling, maximum altitude, service ceiling, P2254: ceiling or maximum density altitude at which an aircraft can operate / is subproperty of elevation above sea level
6. clearance (wd:P2793 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via height above ground), also known as air draft, air draught, bridge height, clearance below, deck height, etc.: distance between surface under bridge and bottom of a bridge deck / distance between surface and bottom of a bridge deck
7. height (wd:P2048 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as depth over terrain, heighth, size, P2048: vertical dimension of an entity / vertical length of an entity / is subproperty of length
8. precipitation height (wd:P3036 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via snow height), also known as amount of precipitation, amount of rain, amount of snow, precipitation amount, rain amount, etc.: maximum height of snow or rain during an event or space of time / maximum height of snow or rain during an event or space of time
9. ranking (wd:P1352 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via peak position), also known as peak position, place, placing, position, rank, etc.: subject's ordinal position as qualitatively evaluated relative to other members of a group / the subject's position in the specified rank
10. maximum gradient (wd:P2595 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via maximum incline), also known as max gradient, maximum incline, maximum slope, max slop, ruling grade, etc.: maximum gradient on a route, expressed as a percentage

[Assistant] I will search for the country Australia entity.

[Tool]
Top 10 entity alternatives:
1. Australia (wd:Q408), also known as AU, AUS, Aussieland, Commonwealth of Australia, Down Under, etc.: is instance of sovereign state / is instance of federation / is instance of country / country in Oceania / country in Oceania / country in Oceania / country in Oceania
2. Australian continent (wd:Q3960, matched via Australia), also known as Australia, Australia (continent), Australinea, Meganesia, New Holland, etc.: continent in the Earth's Southern Hemisphere / continent in Earth's Southern Hemisphere / is instance of continent / continent
3. Australia (wd:Q275180): 2008 film by Baz Luhrmann / is instance of film
4. Australia (wd:Q205546): 1989 film by Jean-Jacques Andrien / is instance of film
5. Australia (wd:Q4823546): 1996 single by Manic Street Preachers / is instance of single
6. Australia (wd:Q16835533): is instance of Horse / is instance of horse / Racehorse
7. Australia (wd:Q781244): is instance of board game / board game
8. Australia (wd:Q4823541), also known as Australia (KA–5): yacht that raced in the Americas Cup / is instance of sailing yacht
9. Australia (wd:Q12887638): village and ''consejo popular'' in Cuba / is instance of human settlement
10. Australia (wd:Q25907685): albedo feature on the planet Mercury / is instance of albedo feature

[Assistant] I will now build a SPARQL query that finds mountains (instances of subclass mountain) located in Australia and returns the one with the highest elevation (wdt:P2044). I'll first craft a query that selects mountains in Australia with their elevations and then order by elevation descending and limit to 1. I will verify mountain class usage: many mountains are instance of "mountain" (wd:Q8502) or subclass thereof. I'll include wdt:P31/wdt:P279 to capture instance of mountain or subclass of mountain. I will run an initial query.

[Tool]
Got 20 rows and 3 columns, showing the first 5 and last 5 rows below:
| mountain                         | mountainLabel           | elevation          |
| -------------------------------- | ----------------------- | ------------------ |
| Mount Pieter Botte (wd:Q6922748) | Mount Pieter Botte (en) | 3311 (xsd:decimal) |
| Mawson Peak (wd:Q2114101)        | Mawson Peak (en)        | 2745 (xsd:decimal) |
| Big Ben (wd:Q858516)             | Big Ben (en)            | 2745 (xsd:decimal) |
| Mawson Peak (wd:Q2114101)        | Mawson Peak (en)        | 2745 (xsd:decimal) |
| Campbell Peak (wd:Q5028131)      | Campbell Peak (en)      | 2415 (xsd:decimal) |
| ...                              | ...                     | ...                |
| Carruthers Peak (wd:Q5046759)    | Carruthers Peak (en)    | 2145 (xsd:decimal) |
| Gibraltar Rock (wd:Q5559196)     | Gibraltar Rock (en)     | 2100 (xsd:decimal) |
| Mount Tate (wd:Q6924052)         | Mount Tate (en)         | 2068 (xsd:decimal) |
| Gungartan (wd:Q3120844)          | Gungartan (en)          | 2068 (xsd:decimal) |
| Mount Bogong (wd:Q130217)        | Mount Bogong (en)       | 1986 (xsd:decimal) |

[Assistant] I'll inspect the triples for Mount Pieter Botte (wd:Q6922748) to verify its elevation and country statements.

[Tool]
Got 61 rows and 3 columns, showing the first 10 rows below:
| subject                          | property                                                    | object                                                                                |
| -------------------------------- | ----------------------------------------------------------- | -------------------------------------------------------------------------------------- |
| Mount Pieter Botte (wd:Q6922748) | instance of (wdt:P31)                                       | mountain (wd:Q8502)                                                                    |
| Mount Pieter Botte (wd:Q6922748) | country (wdt:P17)                                           | Australia (wd:Q408)                                                                    |
| Mount Pieter Botte (wd:Q6922748) | located in the administrative territorial entity (wdt:P131) | Queensland (wd:Q36074)                                                                 |
| Mount Pieter Botte (wd:Q6922748) | coordinate location (wdt:P625)                              | POINT(145.400000 -16.066700) (geo:wktLiteral)                                          |
| Mount Pieter Botte (wd:Q6922748) | Commons category (wdt:P373)                                 | Mount Pieter Botte                                                                     |
| Mount Pieter Botte (wd:Q6922748) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/Mount%20Pieter%20Botte%201935.jpg> |
| Mount Pieter Botte (wd:Q6922748) | Freebase ID (wdt:P646)                                      | /m/0j9k_x2                                                                             |
| Mount Pieter Botte (wd:Q6922748) | GeoNames ID (wdtn:P1566)                                    | <https://sws.geonames.org/2153379/>                                                    |
| Mount Pieter Botte (wd:Q6922748) | GNS Unique Feature ID (wdt:P2326)                           | -1594692                                                                               |
| Mount Pieter Botte (wd:Q6922748) | elevation above sea level (wdt:P2044)                       | 3311 (xsd:decimal)                                                                     |
| ...                              | ...                                                         | ...                                                                                |

[Assistant] I'll list the claim statements for P2044 on Mount Pieter Botte to see the unit and qualifiers.

[Tool]
Got 1 row and 3 columns:
| subject                          | property                            | object                                          |
| -------------------------------- | ----------------------------------- | ----------------------------------------------- |
| Mount Pieter Botte (wd:Q6922748) | elevation above sea level (p:P2044) | s:Q6922748-415769B8-BD77-4262-BC3D-865AB2327C1E |

[Assistant] The result shows Mount Pieter Botte has elevation 3311 m, but I'm aware that Mount Kosciuszko (Australia mainland) is often cited as the highest on the Australian continent at 2228 m, while Mawson Peak/Big Ben on Heard Island (an Australian external territory) is higher at 2745 m. The mountain with elevation 3311 might be due to different data or unit—need to verify coordinates; Mount Pieter Botte elevation 3311 seems suspicious (it might be in feet?). Let's check the v: value for P2044. I will query the statement value triple (psv) or the direct normalized value wdt:P2044 gives a decimal; but psv might show unit. I'll inspect the claim's ps and psn.

[Tool]
Got 1 row and 3 columns:
| s                                               | ps                 | psv                                |
| ----------------------------------------------- | ------------------ | ---------------------------------- |
| s:Q6922748-415769B8-BD77-4262-BC3D-865AB2327C1E | 3311 (xsd:decimal) | v:5943d2bf19f20966d4c119f4a3e95bab |

[Assistant] The psv points to a value node; I need to resolve it. I'll list the value node details.

[Tool]
Got 4 rows and 3 columns:
| subject                            | property                    | object                             |
| ---------------------------------- | --------------------------- | ---------------------------------- |
| v:5943d2bf19f20966d4c119f4a3e95bab | wikibase:quantityUnit       | foot (wd:Q3710)                    |
| v:5943d2bf19f20966d4c119f4a3e95bab | wikibase:quantityAmount     | 3311 (xsd:decimal)                 |
| v:5943d2bf19f20966d4c119f4a3e95bab | wikibase:quantityNormalized | v:22a67421532fd319288b7ff584d3eb86 |
| v:5943d2bf19f20966d4c119f4a3e95bab | rdf:type                    | wikibase:QuantityValue             |

[Assistant] The elevation is recorded as 3311 feet, which normalized to meters would be about 1009 m. The wdt:P2044 returns normalized? It returned 3311 which is the amount without considering unit. Our earlier list returned 3311 as xsd:decimal under wdt:P2044; apparently wdt:P2044 gives the amount as recorded, not normalized to meters. There's a wikibase:quantityNormalized pointing to another value node; let's get its amount.

[Tool]
Got 4 rows and 3 columns:
| subject                            | property                    | object                             |
| ---------------------------------- | --------------------------- | ---------------------------------- |
| v:22a67421532fd319288b7ff584d3eb86 | wikibase:quantityUnit       | metre (wd:Q11573)                  |
| v:22a67421532fd319288b7ff584d3eb86 | wikibase:quantityAmount     | 1009.19 (xsd:decimal)              |
| v:22a67421532fd319288b7ff584d3eb86 | wikibase:quantityNormalized | v:22a67421532fd319288b7ff584d3eb86 |
| v:22a67421532fd319288b7ff584d3eb86 | rdf:type                    | wikibase:QuantityValue             |

[Assistant]
This shows the normalized elevation in metres is 1009.19. So the direct property wdt:P2044 may not reliably sort. To find the highest mountain in Australia we should use the normalized value. There is a property path to the quantity normalized amount? wdt doesn't expose nested nodes, but there is a property wdt:P2044 that sometimes uses normalized values? Alternative approach: use ?mountain p:P2044 ?eStatement . ?eStatement psv:P2044 ?valueNode . ?valueNode wikibase:quantityAmount ?amount . ?valueNode wikibase:quantityUnit wd:Q11573 . Then we can order by ?amount desc. But need to ensure units differ; some are in feet etc. Use the normalized node with unit metre. The normalized node appears as wikibase:quantityNormalized linking to a node with unit metres. So query pattern: ?mountain p:P2044 ?ps . ?ps psv:P2044 ?vnode . ?vnode wikibase:quantityAmount ?amount . ?vnode wikibase:quantityUnit wd:Q11573 . But for ones where wikibase:quantityUnit is foot, we should use the quantityNormalized node: ?vnode wikibase:quantityNormalized ?norm . ?norm wikibase:quantityAmount ?amount . ?norm wikibase:quantityUnit wd:Q11573 . Better: use COALESCE(?normAmount, ?amount) where ?norm is optional. But SPARQL COALESCE is allowed. However earlier rule: "Do not perform additional computation on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL." Using COALESCE is inside SPARQL, OK.

So build query: find ?mountain instance of mountain (P31/P279*), country P17 Australia (wd:Q408), find elevation statement p:P2044 ?ps. Then optional { ?ps psv:P2044 ?val . ?val wikibase:quantityAmount ?amount . ?val wikibase:quantityUnit wd:Q11573 } optional2 { ?ps psv:P2044 ?val . ?val wikibase:quantityNormalized ?norm . ?norm wikibase:quantityAmount ?normAmount . ?norm wikibase:quantityUnit wd:Q11573 } Then use BIND(COALESCE(?normAmount, ?amount) AS ?elevation_m). ORDER BY DESC(xsd:decimal(?elevation_m)) limit 1. Need to ensure types consistent; amounts are xsd:decimal.

Also include label optional. Then run.

I'll craft the query accordingly and execute. I'll explain thought before call as required.
I'll execute a SPARQL query that retrieves mountains in Australia with elevation normalized to metres, using either the normalized quantity or the original amount when already in metres, then order by elevation in metres descending and return the top result.

[Tool]
Got 10 rows and 3 columns:
| mountain                      | mountainLabel         | elevation_m        |
| ----------------------------- | --------------------- | ------------------ |
| Mawson Peak (wd:Q2114101)     | Mawson Peak (en)      | 2745 (xsd:decimal) |
| Mawson Peak (wd:Q2114101)     | Mawson Peak (en)      | 2745 (xsd:decimal) |
| Big Ben (wd:Q858516)          | Big Ben (en)          | 2745 (xsd:decimal) |
| Campbell Peak (wd:Q5028131)   | Campbell Peak (en)    | 2415 (xsd:decimal) |
| Dome (wd:Q25267321)           | Dome (en)             | 2410 (xsd:decimal) |
| Fremantle Peak (wd:Q5501498)  | Fremantle Peak (en)   | 2375 (xsd:decimal) |
| Budd Peak (wd:Q4984113)       | Budd Peak (en)        | 2315 (xsd:decimal) |
| Mount Kosciuszko (wd:Q178167) | Mount Kosciuszko (en) | 2228 (xsd:decimal) |
| Mount Townsend (wd:Q542041)   | Mount Townsend (en)   | 2209 (xsd:decimal) |
| Mount Twynam (wd:Q6924231)    | Mount Twynam (en)     | 2195 (xsd:decimal) |

[Assistant] I will provide the final SPARQL query I executed (which returns mountains in Australia with elevation normalized to metres and orders by elevation descending) along with the answer derived from its results.

[Tool] Stopping


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 DISTINCT ?film ?filmLabel WHERE {
  ?film wdt:P57 wd:Q315087 ; wdt:P161 wd:Q40523 .
  ?film wdt:P31 / wdt:P279 * wd:Q11424 .
  OPTIONAL {
    ?film rdfs:label ?filmLabel FILTER ( LANG( ?filmLabel ) = "en" )
  }
}
ORDER BY ?filmLabel

Using entities:
film (wd:Q11424), also known as cinema, cinematic work, films, flick, motion picture, etc.
Garry Marshall (wd:Q315087), also known as Garry Kent Marshall, Garry K. Marshall
Julia Roberts (wd:Q40523), also known as Julia Fiona Roberts

Using properties:
cast member (wd:P161 as wdt), also known as actor, actress, contestant of a play, feat., film starring, etc.
subclass of (wd:P279 as wdt), also known as all members of this class also belong to, category of, form of, has superclass, is a class of, etc.
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.
director (wd:P57 as wdt), also known as directed by, film director, game director, movie director, P57

Got 4 rows and 2 columns:
| film                         | filmLabel            |
| ---------------------------- | -------------------- |
| Mother's Day (wd:Q20899741)  | Mother's Day (en)    |
| Pretty Woman (wd:Q207954)    | Pretty Woman (en)    |
| Runaway Bride (wd:Q1160813)  | Runaway Bride (en)   |
| Valentine's Day (wd:Q244975) | Valentine's Day (en) |

Answer:
The films directed by Garry Marshall in which Julia Roberts starred (with Wikidata IRIs) are:
- wd:Q207954 — Pretty Woman
- wd:Q1160813 — Runaway Bride
- wd:Q244975 — Valentine's Day
- wd:Q20899741 — Mother's Day

In which films directed by Garry Marshall was Julia Roberts starring?

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

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

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

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

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

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

[User] In which films directed by Garry Marshall was Julia Roberts starring?

[Assistant] I will first identify the Wikidata items for the director Garry Marshall and the actor Julia Roberts, then look for films directed by Garry Marshall that have Julia Roberts as a cast member. I'll search for the entities now.

[Tool]
Top 10 entity alternatives:
1. Garry Marshall (wd:Q315087), also known as Garry Kent Marshall, Garry K. Marshall: American actor and filmmaker (1934–2016) / has occupation television producer / has occupation television actor / has occupation film director / has occupation Film producer / has occupation film producer / has occupation screenwriter / has occupation voice actor / has occupation overseer / has occupation director / has occupation comedian / has occupation writer / has occupation actor / is instance of human
2. Garry Marshall (wd:Q56707213): is instance of human
3. Garry Shider (wd:Q2267893, matched via Garry Marshall Shider), also known as Garry Marshall Shider: American musician (1953–2010) / has occupation songwriter / has occupation Guitarist / has occupation guitarist / has occupation singer / is instance of human
4. Marshall Islands (wd:Q709), also known as mh, MHL, Republic of the Marshall Islands: country near the equator in the Pacific Ocean / is instance of archipelagic state / is instance of Archipelagic state / is instance of sovereign state / is instance of island country / is instance of island nation / country in Oceania / country in Oceania
5. Eminem (wd:Q5608, matched via Marshall Mathers), also known as EMINƎM, Marshall Bruce Mathers, Marshall Bruce Mathers III, Marshall Mathers, Marshall Mathers III, etc.: American rapper, songwriter, record producer and actor / has occupation record producer / has occupation music executive / has occupation film actor / has occupation songwriter / has occupation singer / has occupation rapper / has occupation actor / is instance of human
6. Garry Kasparov (wd:Q28614), also known as Garik Kimovich Weinstein, Garry Kimovich Kasparov, Gary Kasparov: Russian chess grandmaster and activist / Russian chess grandmaster and activist / has occupation chess player / has occupation politician / has occupation journalist / has occupation writer / has occupation critic / is instance of human
7. George Marshall (wd:Q151414), also known as George Catlett Marshall, Jr., George C. Marshall: American army officer and statesman (1880–1959) / has occupation American football player / has occupation football player / has occupation army officer / has occupation politician / has occupation diplomat / is instance of human
8. Marshall Plan (wd:Q4576), also known as Economic Cooperation Act of 1948, ERP, European recovery act, European Recovery Program, European Recovery Programme, etc.: American initiative for foreign aid to Western Europe following World War II / is instance of Act of Congress in the United States / is instance of public policy / is instance of Plan / is instance of plan
9. Marshall McLuhan (wd:Q193871), also known as Herbert Marshall McLuhan, Marshall Mac Luhan, Marshall MacLuhan: Canadian educator, philosopher, and scholar / has occupation university teacher / has occupation literary critic / has occupation philosopher / has occupation rhetorician / has occupation sociologist / has occupation Philosopher / has occupation writer / is instance of human
10. Garry Shandling (wd:Q1374481): has occupation television director / has occupation television producer / has occupation television actor / American comedian (1949–2016) / has occupation film director / has occupation film producer / has occupation Film producer / has occupation screenwriter / has occupation voice actor / has occupation film actor / has occupation comedian / has occupation actor / is instance of human

[Assistant] I'll identify Julia Roberts' Wikidata item next.

[Tool]
Top 10 entity alternatives:
1. Julia Roberts (wd:Q40523), also known as Julia Fiona Roberts: has occupation television actor / has occupation Film producer / has occupation film producer / American actress (born 1967) / has occupation stage actor / has occupation voice actor / has occupation film actor / has occupation actor / has occupation model / has occupation Model / is instance of human
2. Julia Roberts (wd:Q6306692), also known as Julia Kaitlyn Roberts: has occupation association football player / has occupation soccer player / American soccer player / is instance of human
3. Julia Roberts (wd:Q6306690): British television host / has occupation dancer / is instance of human
4. Julia Roberts (wd:Q130719609): Canadian historian, University of Waterloo, Ontario, Canada / has occupation historian / is instance of human
5. Julia Maria Roberts (wd:Q76354189, matched via Julia Roberts), also known as Julia Dupuis, Julia Roberts: Peerage person ID=708143 / is instance of human
6. Julian Roberts (wd:Q6307513), also known as Julian Victor Frow Roberts: has occupation entrepreneur / has occupation Entrepreneur / has occupation accountant / is instance of human / businessperson
7. Julia Link Roberts (wd:Q61951519): has occupation lecturer / is instance of human / American academic
8. Julian Roberts (wd:Q6307511), also known as Richard Julian Roberts: British writer (1930-2010) / has occupation librarian / is instance of human / British writer / British writer
9. Julia Robertson (wd:Q112477176): is instance of human
10. Julia Robertson (wd:Q63939164): researcher (ORCID 0000-0002-5300-8474) / has occupation researcher / is instance of human

[Assistant] I will now inspect Garry Marshall's filmography for items that are films directed by him, and check which of those have Julia Roberts in the cast. I'll start by listing triples where Garry Marshall is the director (property wdt:P57 "director").

[Tool] Got no rows and 3 columns

[Tool]
Got 22 rows and 3 columns, showing the first 10 rows below:
| subject                            | property           | object                      |
| ---------------------------------- | ------------------ | --------------------------- |
| The Princess Diaries (wd:Q1046295) | director (wdt:P57) | Garry Marshall (wd:Q315087) |
| New Year's Eve (wd:Q1052260)       | director (wdt:P57) | Garry Marshall (wd:Q315087) |
| Runaway Bride (wd:Q1160813)        | director (wdt:P57) | Garry Marshall (wd:Q315087) |
| Raising Helen (wd:Q1422400)        | director (wdt:P57) | Garry Marshall (wd:Q315087) |
| The Flamingo Kid (wd:Q1426946)     | director (wdt:P57) | Garry Marshall (wd:Q315087) |
| Beaches (wd:Q1455870)              | director (wdt:P57) | Garry Marshall (wd:Q315087) |
| The Other Sister (wd:Q1493723)     | director (wdt:P57) | Garry Marshall (wd:Q315087) |
| Overboard (wd:Q1539658)            | director (wdt:P57) | Garry Marshall (wd:Q315087) |
| The Princess Diaries (wd:Q1768890) | director (wdt:P57) | Garry Marshall (wd:Q315087) |
| Nothing in Common (wd:Q1781116)    | director (wdt:P57) | Garry Marshall (wd:Q315087) |
| ...                                | ...                | ...                         |

[Assistant] I'll run a SPARQL query that finds items that are films (instance of film or subclass) with Garry Marshall as director (wdt:P57 wd:Q315087) and Julia Roberts as a cast member (wdt:P161 wd:Q40523). I'll request English labels via rdfs:label. Now I will execute this query.

[Tool]
Got 4 rows and 2 columns:
| film                         | filmLabel            |
| ---------------------------- | -------------------- |
| Mother's Day (wd:Q20899741)  | Mother's Day (en)    |
| Pretty Woman (wd:Q207954)    | Pretty Woman (en)    |
| Runaway Bride (wd:Q1160813)  | Runaway Bride (en)   |
| Valentine's Day (wd:Q244975) | Valentine's Day (en) |

[Assistant] Now I'll return the final SPARQL query and the answer (the list of films with their Wikidata IRIs).

[Tool] Stopping


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 ?language ?languageLabel WHERE {
  wd:Q730 wdt:P37 ?language .
  OPTIONAL {
    ?language rdfs:label ?languageLabel .
    FILTER ( LANG( ?languageLabel ) = "en" )
  }
}

Using entities:
Suriname (wd:Q730), also known as Dutch Guiana, Republic of Surinam, Republic of Suriname, sr, SUR, etc.

Using properties:
official language (wd:P37 as wdt), also known as language official, language spoken, speaking, spoken in, P37

Got 1 row and 2 columns:
| language         | languageLabel |
| ---------------- | ------------- |
| Dutch (wd:Q7411) | Dutch (en)    |

Answer: The official language of Suriname is Dutch (wd:Q7411).

What is the official language of Suriname?

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

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

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

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

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

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

[User] What is the official language of Suriname?

[Assistant] Step 1: I'll locate the Wikidata item for Suriname to use its identifier in the query. I'll search for the entity "Suriname". I'll run a search_entity call to the wikidata KG.

[Tool]
Top 10 entity alternatives:
1. Suriname (wd:Q730), also known as Dutch Guiana, Republic of Surinam, Republic of Suriname, sr, SUR, etc.: is instance of sovereign state / country in South America / country in South America / country in South America / country in South America
2. Surinam (wd:Q7646305, matched via Suriname), also known as Colony Surinam, Colony Suriname, Dutch Guiana, Dutch Surinam, Dutch Suriname, etc.: Dutch plantation colony in the Guianas / is instance of colony
3. Suriname (wd:Q19901436): constituent country of the Kingdom of the Netherlands, 1954–1975 / constituent country of the Kingdom of the Netherlands, 1954–1975 / is instance of historical country
4. Suriname (wd:Q2688457), also known as Suriname (district): is instance of district of Suriname / former district in Suriname
5. Suriname (wd:Q107067657), also known as IMO 5345625: cargo ship built in 1960 / is instance of ship
6. Suriname (wd:Q2186454): is instance of temporary exhibition
7. Suriname (wd:Q55504192), also known as Koloniaal Nieuwsblad: is instance of newspaper / Surinamese newspaper
8. Hussard (wd:Q5502076, matched via Suriname), also known as HMS Sasnarang, HMS Surinam, Hussar, Suriname: is instance of corvette / 1799 corvette
9. Suriname (wd:Q93183143): 2020 film by Danny Leysner / is instance of film
10. Suriname. (wd:Q29354251): is instance of scholarly article / is instance of academic article / scientific article

[Assistant] I'll search for the property corresponding to "official language" in Wikidata to be sure of the correct property identifier.

[Tool]
Top 10 property alternatives:
1. official language (wd:P37 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq), also known as language official, language spoken, speaking, spoken in, P37: language designated as official by this item / language designated as official by this item / language designated as official by this item / language designated as official by this item / is subproperty of language used
2. native label (wd:P1705 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via official language name), also known as autonym, label in official language, label in original language, name in official language, name in original language, etc.: label for the items in their official language (P37) or their original language (P364) / label for the items in their official language (P37) or their original language (P364) / label for the items in their official language (P37) or their original language (P364) / label for the items in their official language  or their original language / is subproperty of name
3. original language of film or TV show (wd:P364 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via original language), also known as created on language, language of the original work, media language, original language, P364: language in which a film or a performance work was originally ... and songs; use P407 ("language of work or name") instead. / language in which a film or a performance work was originally ... written works; use P407 ("language of work or name") instead. / language in which a film or a performance work was originally ... written works; use P407 ("language of work or name") instead. / is subproperty of language of work or name
4. language used (wd:P2936 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via working language), also known as languages used, medium of instruction, used language, uses language, working language, etc.: language widely used (spoken or written) in this place or at this event or organisation
5. native language (wd:P103 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via first language), also known as first language, L1 speaker of, language native, mother tongue, P103: language or languages a person has learned from early childhood / is subproperty of languages spoken, written or signed / language or languages a person has learned from birth / language or languages a person has learned from birth
6. language regulatory body (wd:P1018 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via language authority), also known as language authority, regulatory body, P1018: regulatory body of a language
7. language of work or name (wd:P407 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via used language), also known as audio language, available in, broadcasting language, language, language of name, etc.: language associated with this creative work (such as books, ... (P103) and "languages spoken, written or signed" (P1412)) / language associated with this creative work (such as books, ... (P103) and "languages spoken, written or signed" (P1412)) / language associated with this work or name (for persons use P103 and P1412)
8. languages spoken, written or signed (wd:P1412 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via used language), also known as language, language of expression, language read, language signed, languages of expression, etc.: language(s) that a person or a people speaks, writes or signs, including the native language(s) / language(s) that a person speaks or writes, including the native language(s) / language(s) that a person speaks or writes, including the native language(s)
9. programmed in (wd:P277 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via language), also known as language, programming language, written in, P277: the programming language(s) in which the software is developed
10. Ethnologue language status (wd:P3823 as ps/psv/wdt/wdtn/p/pqv/prv/prn/pr/psn/pqn/pq, matched via language status), also known as EGIDS, language status, P3823: language status identifier by Ethnologue.com using EGIDS scale / language status identifier by Ethnologue.com using EGIDS scale

[Assistant] I'll run a SPARQL query that retrieves the official language(s) (property P37) of Suriname (wd:Q730), returning the language IRIs and their English labels (if available). Now I will execute that query.

[Tool]
Got 1 row and 2 columns:
| language         | languageLabel |
| ---------------- | ------------- |
| Dutch (wd:Q7411) | Dutch (en)    |

[Assistant] I will finalize by returning the SPARQL query I ran (which retrieves the official language(s) of Suriname wd:Q730 using property wdt:P37) and the answer derived from its result. The query has already been executed and returned Dutch (wd:Q7411). Now I will provide the final answer and the exact query.

[Tool] Stopping