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 ?person ?personLabel ?voiceType ?voiceTypeLabel ?baseType ?baseTypeLabel WHERE {
  VALUES ?baseType {
    wd:Q30903 wd:Q186506 wd:Q37137 wd:Q223166 wd:Q27914 wd:Q31687 wd:Q27911
  }
  ?person wdt:P31 wd:Q5 .
  ?person wdt:P412 ?voiceType .
  ?voiceType wdt:P279 * ?baseType .
  FILTER NOT EXISTS {
    ?person wdt:P106 ?occ .
  }
  OPTIONAL {
    ?person rdfs:label ?personLabel FILTER ( LANG( ?personLabel ) = "en" )
  }
  OPTIONAL {
    ?voiceType rdfs:label ?voiceTypeLabel FILTER ( LANG( ?voiceTypeLabel ) = "en" )
  }
  OPTIONAL {
    ?baseType rdfs:label ?baseTypeLabel FILTER ( LANG( ?baseTypeLabel ) = "en" )
  }
}
LIMIT 1000

Using entities:
mezzo-soprano (wd:Q186506), also known as mezzo, mezzosoprán, mezzosoprano, mezzo-soprano voice
countertenor (wd:Q223166), also known as angelical, contra tenor, counter-tenor, countertenor voice, tenor angelical
bass (wd:Q27911), also known as bas, bass voice
tenor (wd:Q27914), also known as tenor (singer), tenor voice
soprano (wd:Q30903), also known as soprano lirica
baritone (wd:Q31687), also known as baryton
contralto (wd:Q37137)
human (wd:Q5), also known as human being, humans, individual Homo sapiens, individual human, modern humans, etc.

Using properties:
occupation (wd:P106 as wdt), also known as avocation, career, craft, employ, employment, 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.
voice type (wd:P412 as wdt), also known as range of voice, register, tessitura, type of voice, vocal type, etc.

Answer:
Summary of steps and reasoning:

1) Identify relevant property: I searched for the property for "voice type" and found P412 (voice type).

2) Identify canonical voice-type items: I searched for main voice types and recorded their QIDs:
   - soprano: wd:Q30903
   - mezzo-soprano: wd:Q186506
   - contralto: wd:Q37137
   - countertenor: wd:Q223166
   - tenor: wd:Q27914
   - baritone: wd:Q31687
   - bass: wd:Q27911

3) Build query logic: I constructed a query that finds humans (wd:Q5) with a P412 (voice type) whose voice type is the same as, or a subclass (P279*) of, any of the listed base voice types, and that have no occupation (no P106). I requested optional English labels for readability.

Final SPARQL query (executed against Wikidata):

SELECT DISTINCT ?person ?personLabel ?voiceType ?voiceTypeLabel ?baseType ?baseTypeLabel WHERE {
  VALUES ?baseType {
    wd:Q30903  # soprano
    wd:Q186506 # mezzo-soprano
    wd:Q37137  # contralto
    wd:Q223166 # countertenor
    wd:Q27914  # tenor
    wd:Q31687  # baritone
    wd:Q27911  # bass
  }
  ?person wdt:P31 wd:Q5 .
  ?person wdt:P412 ?voiceType .
  ?voiceType wdt:P279* ?baseType .
  FILTER NOT EXISTS { ?person wdt:P106 ?occ. }
  OPTIONAL { ?person rdfs:label ?personLabel FILTER(LANG(?personLabel) = "en") }
  OPTIONAL { ?voiceType rdfs:label ?voiceTypeLabel FILTER(LANG(?voiceTypeLabel) = "en") }
  OPTIONAL { ?baseType rdfs:label ?baseTypeLabel FILTER(LANG(?baseTypeLabel) = "en") }
} LIMIT 1000

Query results (as returned):

- wd:Q131305806 — voice type: wd:Q186506 (mezzo-soprano)
  - English label for person: (no English label available in result)
  - voiceTypeLabel: "mezzo-soprano"

- wd:Q133503380 — voice type: wd:Q27914 (tenor)
  - English label for person: (no English label available in result)
  - voiceTypeLabel: "tenor"

Notes and caveats:
- The query returns the item IRIs for the individuals and the voice-type IRIs, as requested. Some person items lacked English rdfs:label values in the dataset, so no English name appeared in the optional label column.
- The voice-type matching uses subclass transitive closure (P279*) so it includes derived fach/subclasses of the listed base voice types.

If you want, I can (a) remove the base-type restriction (to return any person with P412 and no occupation), (b) attempt to fetch labels in other languages, or (c) try to find additional qualifiers (e.g., sources or dates) for these voice-type statements.

Who are the individuals with a specified voice type (such as soprano, mezzo-soprano, contralto, countertenor, tenor, baritone, bass, and their derivatives) but do not have a defined occupation? For each individual,  include their voice type.

[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] Who are the individuals with a specified voice type (such as soprano, mezzo-soprano, contralto, countertenor, tenor, baritone, bass, and their derivatives) but do not have a defined occupation? For each individual,  include their voice type.

[Assistant] I'll search for the property corresponding to "voice type" in Wikidata, then look for items that have that property but lack P106 (occupation). I will verify the property identifier before building the final query.

[Tool]
Top 10 property alternatives:
1. voice type (wd:P412 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as range of voice, register, tessitura, type of voice, vocal type, etc.: person's voice type. expected values: soprano, mezzo-soprano, contralto, countertenor, tenor, baritone, bass (and derivatives)
2. audio recording of the subject's spoken voice (wd:P990 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via spoken voice), also known as audio clip, recording of the subject's spoken voice, speaking voice, spoken voice, voice recording, etc.: audio file representing the speaking voice of a person; or of an animated cartoon or other fictitious character / is subproperty of audio
3. audio transcription (wd:P9533 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as transcription of audio, P9533: transcription of the word/text being spoken in this file
4. voice actor (wd:P725 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as dubbed by, seiyu, VA, VO, vocal role as, etc.: performer of a spoken role in a creative work such as ... as qualifier] [use "cast member" (P161) for live acting] / is subproperty of film crew member / is subproperty of cast member
5. spoken text audio (wd:P989 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as audio description, spoken Wikipedia, spoken Wikipedia text audio, Wikipedia audio, Wikipedia spoken text audio, etc.: audio file for the spoken work or Wikipedia article, including audio descriptions / audio file for the spoken work or Wikipedia article, including audio descriptions / audio file for the spoken work or Wikipedia article, including audio descriptions / is subproperty of audio
6. expression, gesture or body pose (wd:P6022 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via gesture), also known as action, expression, facial expression, gesture, movement, etc.: qualifier on "depicts" (P180) for human position of an individual in an artwork
7. typing discipline (wd:P7078 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via typing), also known as type system, typing, P7078: specifies the typing discipline implemented, used, or mandated in a programming language / specifies the typing discipline implemented, used, or mandated in a programming language / is subproperty of manifestation of
8. pronunciation audio (wd:P443 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via audio pronunciation), also known as audio pronunciation, listen, P443: audio file with pronunciation / audio file with pronunciation / is subproperty of audio
9. language of work or name (wd:P407 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via audio 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)
10. spoken by (wd:P10894 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as narrator, speaker, P10894: the person who is speaking in this audio or video file

[Assistant] I'll search for the main voice type entities in Wikidata (soprano, mezzo-soprano, contralto, countertenor, tenor, baritone, bass) to get their QIDs. I'll start with "soprano".

[Tool]
Top 10 entity alternatives:
1. soprano (wd:Q30903), also known as soprano lirica: type of singing voice with the highest vocal range / is subclass of female singing voice / is instance of voice type / is subclass of high voice
2. Soprano (wd:Q1372291), also known as Saïd M'Roumbaba: French rapper, singer and songwriter / has occupation singer-songwriter / has occupation singer / has occupation rapper / has occupation actor / is instance of human / French rapper / French rapper
3. Soprano (wd:Q3110464), also known as KDE: is instance of free software / is instance of application / free software
4. Soprano (wd:Q11894120), also known as Soprano Oyj: business enterprise in Helsinki, Finland / is instance of enterprise / is instance of business
5. Soprano (wd:Q37553758): is instance of family name / is instance of surname / family name / family name / surname
6. Soprano (wd:Q47513883), also known as Francis Xavery Ndumbaro: has occupation musician / is instance of human / Tanzanian musician
7. Soprano (wd:Q103909217): shipwreck off the Scottish coast / is instance of shipwreck / is instance of ship
8. soprano (wd:Q63518855): operatic character in the opera In seinem Garten liebt Don Perlimplin Belisa by Wolfgang Fortner / is instance of operatic character / is instance of fictional human
9. Soprano (wd:Q84727182), also known as IMO 1013133: is instance of ship / yacht built in 2017
10. soprano Pipistrelle (wd:Q304368), also known as Pipistrellus pygmaeus: is instance of taxon / species of mammal

[Assistant] Now I'll fetch QIDs for the other voice types: mezzo-soprano, contralto, countertenor, tenor, baritone, bass. I'll search each.

[Tool]
Top 10 entity alternatives:
1. mezzo-soprano (wd:Q186506), also known as mezzo, mezzosoprán, mezzosoprano, mezzo-soprano voice: type of classical female singing voice whose vocal range lies between the soprano and the contralto voice / is subclass of medium voice / is subclass of female voice / is instance of voice type / is subclass of voice
2. mezzo-soprano (wd:Q108404711): is instance of musical profession / singer with a mezzo-soprano voice / is subclass of classical singer / is instance of occupation / is subclass of singer
3. oboe d'amore (wd:Q8380, matched via mezzo-soprano oboe), also known as hautbois d'amour, mezzo-soprano oboe: is instance of type of musical instrument / double reed woodwind musical instrument / is subclass of transposing instrument / is subclass of oboe family instrument
4. mezzo-soprano saxophone (wd:Q1926466), also known as F alto saxophone: instrument in the saxophone family / is subclass of saxophone / is subclass of Saxophone
5. lyric mezzo-soprano (wd:Q1878954): is subclass of mezzo-soprano / is subclass of Mezzo-soprano / Mezzo-soprano voice subtype / is instance of Fach
6. mezzo-soprano clef (wd:Q2175897): C-clef placed on the second line of the stave / is subclass of C-clef
7. dramatic mezzo-soprano (wd:Q6012297), also known as dramatic mezzo: is subclass of Mezzo-soprano / is subclass of mezzo-soprano / type of singing voice / is instance of Fach
8. light mezzo-soprano (wd:Q6012300): is subclass of mezzo-soprano / is subclass of Mezzo-soprano / is instance of Fach / is subclass of alto / is subclass of Alto
9. mezzo-soprano saxophonist (wd:Q123096026): musician who plays the mezzo-soprano saxophone / is subclass of saxophonist / is instance of profession
10. coloratura mezzo-soprano (wd:Q54634572): is subclass of Mezzo-soprano / is subclass of mezzo-soprano / is instance of Fach

[Tool]
Top 10 entity alternatives:
1. contralto (wd:Q37137): type of classical female singing voice / is instance of musical style / is subclass of female voice / is instance of voice type / is subclass of voice / is instance of Fach / is subclass of alto / is subclass of Alto
2. ContrAlto (wd:Q55770874): is instance of free software / is instance of emulator / Alto emulator
3. deep contralto (wd:Q54635335): is subclass of contralto / is subclass of Contralto / is instance of Fach
4. contra-alto clarinet (wd:Q6517474, matched via contralto clarinet), also known as contrabass clarinet (E♭), contralto clarinet, E♭ contrabass clarinet, E-flat contrabass clarinet: bass-contrabass member of the clarinet family / is subclass of transposing instrument / is subclass of clarinet / is subclass of Clarinet
5. contra-alto flute (wd:Q5165592, matched via contralto flute), also known as contr'alto flute, contralto flute: large flute pitched in G between the bass and contrabass / is instance of type of musical instrument / is subclass of western concert flute
6. dramatic contralto (wd:Q5785183): is subclass of Contralto / is subclass of contralto / is instance of Fach
7. boy alto (wd:Q53395277, matched via boy contralto), also known as boy contralto: young male singer with an unchanged voice in the alto range / is instance of Fach / is subclass of Alto / is subclass of alto
8. lyric contralto (wd:Q54635214): is subclass of contralto / is subclass of Contralto / is instance of Fach
9. coloratura contralto (wd:Q54635184): is subclass of contralto / is subclass of Contralto / is instance of Fach
10. subcontrabass flute (wd:Q3746429, matched via double contralto flute), also known as double contra-alto flute, double contr'alto flute, double contralto flute, octocontra-alto flute, octocontrabass flute, etc.: large flute pitched in G below the C contrabass / is instance of type of musical instrument / is subclass of western concert flute

[Tool]
Top 10 entity alternatives:
1. countertenor (wd:Q223166), also known as angelical, contra tenor, counter-tenor, countertenor voice, tenor angelical: is subclass of male singing voice / high classical male singing voice / is instance of voice type / is instance of Fach
2. Twentieth‐Century Countertenor Repertoire (wd:Q58506543): is instance of scholarly article / is instance of academic article
3. Intelligibility of vowels sung by a countertenor (wd:Q30531300): is instance of scholarly article / is instance of academic article / scientific article
4. Russell Oberlin, 88, Dies; Led Renaissance of Countertenor in U.S. (wd:Q123589220): The New York Times article (November 29, 2016) / is instance of obituary
5. James Bowman, Who Helped Resurrect the Countertenor, Dies at 81 (wd:Q123756592): The New York Times article (April 7, 2023) / is instance of obituary
6. The Application of the Countertenor Technique in Chinese Pop Songs Training (wd:Q129419860): is instance of scholarly article / is instance of academic article / scholarly article
7. Brian Asawa, Celebrated Countertenor and Pathbreaker at the Met, Dies at 49 (wd:Q123588618): The New York Times article (April 24, 2016) / is instance of obituary
8. Ombra Mai Fu' - Portrait of Stephen Diaz (countertenor) and Bruce Greenfield (accompanist) (wd:Q103844624): painting by Felicity Priest / painting by Felicity Priest / is instance of painting
9. Vocal intensity in falsetto phonation of a countertenor: an analysis by synthesis approach (wd:Q30539715): is instance of scholarly article / is instance of academic article / scientific article

[Tool]
Top 10 entity alternatives:
1. tenor (wd:Q27914), also known as tenor (singer), tenor voice: is subclass of male singing voice / voice type, male singing voice / classical male singing voice / is instance of voice type / is instance of profession / is subclass of high voice / is subclass of singer
2. Tenor (wd:Q48817537): is instance of web search engine / is instance of search engine / is instance of business / is instance of website / search engine
3. Tenor (wd:Q111754419): 2022 film directed by Claude Zidi Jr. / is instance of film
4. Tenor (wd:Q7700558): is instance of term / linguistics term
5. Tenor (wd:Q37571096): is instance of family name / is instance of surname / family name / family name / surname
6. Tenor (wd:Q4021291): is instance of album / album
7. Tenor (wd:Q19897929): 1976 live album by Joe McPhee / is instance of album
8. Tenor (wd:Q52509468), also known as IMO 8709846: research/survey vessel built in 1988 / is instance of ship
9. Richard Samek (wd:Q58836695, matched via Tenor), also known as Tenor: has occupation singer / is instance of human / Czech singer / Czech singer / Czech singer
10. Tenor (wd:Q48774408): has occupation rapper / is instance of human / Cameroonian rapper / Cameroonian rapper / Cameroonian rapper

[Tool]
Top 10 entity alternatives:
1. baritone (wd:Q31687), also known as baryton: vocal and pitch range above bass and below tenor / is subclass of male singing voice / is subclass of medium voice / is instance of voice type
2. baritone (wd:Q15212740), also known as baritone instrument: instrumental part between the tenor and bass lines / is subclass of musical instrument
3. baritone (wd:Q63518848): operatic character in the opera In seinem Garten liebt Don Perlimplin Belisa by Wolfgang Fortner / is instance of operatic character / is instance of fictional human
4. baritone horn (wd:Q790468), also known as baritonhorn, bombardino: low-pitched brass instrument / is subclass of baritone / is subclass of horn
5. baritone saxophone (wd:Q808218): member of the saxophone family, smaller than the bass, contrabass and subcontrabass saxophones / is subclass of saxophone / is subclass of Saxophone
6. baritone guitar (wd:Q64038): variation on the standard guitar, with a longer scale length / is instance of plucked string instrument / is instance of Plucked string instrument / is subclass of baritone / is subclass of guitar
7. baritenor (wd:Q2338646, matched via high baritone), also known as high baritone, low tenor: tenor whose vocal characteristics favor his lower mid-range more than other tenor faches / is instance of voice type / is subclass of tenor / is instance of Fach
8. bass oboe (wd:Q808215, matched via baritone oboe), also known as baritone oboe: is subclass of single oboes with conical bore / double reed instrument in the woodwind family / is subclass of oboe family instrument / is subclass of transposing instrument
9. heldenbaritone (wd:Q1601737, matched via heroic baritone), also known as heroic baritone: type of opera singer's voice / is subclass of baritone / is subclass of Baritone / is instance of Fach
10. lyric baritone (wd:Q8243255), also known as high baritone: is instance of human voice / is instance of voice type / is subclass of Baritone / is subclass of baritone / voice type

[Tool]
Top 10 entity alternatives:
1. bass (wd:Q27911, matched via bass voice), also known as bas, bass voice: type of classical male singing voice / is subclass of male singing voice / is instance of voice type / is subclass of voice
2. Bass and Voice Improvisations (wd:Q56605631): album by Ole Amund Gjersvik / album by Ole Amund Gjersvik / album by Ole Amund Gjersvik / is instance of album
3. Bassia bassensis (wd:Q2282611): is instance of taxon / species of cnidarian
4. Bartolomeo Bassante (wd:Q809486, matched via Bassante Bassante), also known as Bart.meo Passante, Bartolomeo Passante, Bartolomeo Passante Napolitano, Bartolommeo Bassante, Bartolommeo Passante, etc.: Italian painter (1618-1648) / has occupation painter / is instance of human / Italian painter / Italian painter
5. Bassa Bassa (wd:Q122594085), also known as Bassa Bassa, LA, Bassa Bassa, Louisiana: hamlet in Jefferson Parish, Louisiana, United States / is instance of human settlement / is instance of hamlet
6. Bassem S. Bassil (wd:Q51394184, matched via Bassem Bassil), also known as Bassem Bassil: has occupation researcher / is instance of human / researcher
7. larynx (wd:Q9637, matched via voice box), also known as voice box: voice box, an organ in the neck of amphibians, reptiles, and mammals / is subclass of heterogeneous anatomical cluster / is subclass of particular anatomical entity / is instance of class of anatomical entity / is instance of anatomical cluster type
8. human voice (wd:Q7390): sound made by a human being using the vocal tract / is subclass of animal vocalisation / is subclass of animal vocalization
9. hallucination (wd:Q130741, matched via hearing voice), also known as hallucinations, hearing voice: perception in the presence of no external stimuli found, but characteristic of true perception / is subclass of psychopathological symptom / is subclass of perceptual distortion / is instance of symptom or sign / is subclass of general symptom / is subclass of disruption
10. double bass (wd:Q80019), also known as bass (stringed instrument), bass viol, bull fiddle, contrabass, doghouse bass, etc.: is subclass of necked box lutes played with a bow / acoustic stringed instrument of the violin family / acoustic stringed instrument of the violin family / is instance of type of musical instrument / is instance of bass

[Assistant] I'll run a SPARQL query that finds items which are humans (instance of Q5), have a voice type (property P412) and do not have any occupation (no P106). I will request English labels for persons and voice types as optional fields. Now I'll execute that query to see results and verify the assumptions.

[Tool]
Got 11 rows and 4 columns, showing the first 5 and last 5 rows below:
| person                           | personLabel            | voiceType                  | voiceTypeLabel     |
| -------------------------------- | ---------------------- | -------------------------- | ------------------ |
| wd:Q131305806                    |                        | mezzo-soprano (wd:Q186506) | mezzo-soprano (en) |
| wd:Q133503380                    |                        | tenor (wd:Q27914)          | tenor (en)         |
| Thomas Sutter (wd:Q65007416)     | Thomas Sutter (en)     | male voice (wd:Q55164632)  | male voice (en)    |
| Raban Pfammatter (wd:Q65016927)  | Raban Pfammatter (en)  | male voice (wd:Q55164632)  | male voice (en)    |
| René Eicher (wd:Q65028523)       | René Eicher (en)       | male voice (wd:Q55164632)  | male voice (en)    |
| ...                              | ...                    | ...                        | ...                |
| Robert Lang (wd:Q65028526)       | Robert Lang (en)       | male voice (wd:Q55164632)  | male voice (en)    |
| Reto Kaufmann (wd:Q65032407)     | Reto Kaufmann (en)     | male voice (wd:Q55164632)  | male voice (en)    |
| Gianni Giudicelli (wd:Q65032422) | Gianni Giudicelli (en) | male voice (wd:Q55164632)  | male voice (en)    |
| Leo Canepa (wd:Q65032424)        | Leo Canepa (en)        | male voice (wd:Q55164632)  | male voice (en)    |
| Selenn (wd:Q65032599)            | Selenn (en)            | male voice (wd:Q55164632)  | male voice (en)    |

[Assistant] Now I'll run a refined SPARQL query that (1) finds humans (wd:Q5) with P412 (voice type), (2) restricts the voice type to be a subclass/derivative (via P279*) of one of the main voice-type classes: soprano, mezzo-soprano, contralto, countertenor, tenor, baritone, or bass, and (3) ensures the person has no occupation (no P106). I'll request English labels for readability. I'll execute this query to get the exact individuals and their voice types.

[Tool]
Got 2 rows and 6 columns:
| person        | personLabel | voiceType                  | voiceTypeLabel     | baseType                   | baseTypeLabel      |
| ------------- | ----------- | -------------------------- | ------------------ | -------------------------- | ------------------ |
| wd:Q131305806 |             | mezzo-soprano (wd:Q186506) | mezzo-soprano (en) | mezzo-soprano (wd:Q186506) | mezzo-soprano (en) |
| wd:Q133503380 |             | tenor (wd:Q27914)          | tenor (en)         | tenor (wd:Q27914)          | tenor (en)         |

[Assistant] I'll now provide the final SPARQL query I used and the answer based on the query results. I explain the steps I took above and include the returned items (IRIs) and their voice types.

[Tool] Stopping


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wikibase: <http://wikiba.se/ontology#>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?municipality ?municipalityLabel ?idescat ?population ?populationTime ?area ?coat WHERE {
  ?municipality wdt:P4335 ?idescat .
  ?municipality wdt:P131 + wd:Q5705 .
  ?municipality wdt:P31 / wdt:P279 * wd:Q15284 .
  FILTER ( STRSTARTS( STR( ?idescat ) , "25" ) ) OPTIONAL {
    ?municipality rdfs:label ?municipalityLabel .
    FILTER ( LANG( ?municipalityLabel ) = "en" )
  }
  OPTIONAL {
    ?municipality wdt:P2046 ?area
  }
  OPTIONAL {
    ?municipality wdt:P94 ?coat
  }
  {
    SELECT ?municipality ( MAX( ?key ) AS ?best ) WHERE {
      ?municipality p:P1082 ?popStmt .
      ?popStmt ps:P1082 ?popVal .
      OPTIONAL {
        ?popStmt pq:P585 ?popTime .
      }
      OPTIONAL {
        ?popStmt wikibase:rank ?rank .
      }
      BIND( IF( BOUND( ?rank ) && ?rank = wikibase:PreferredRank , "2" , IF( BOUND( ?rank ) && ?rank = wikibase:NormalRank , "1" , IF( BOUND( ?rank ) && ?rank = wikibase:DeprecatedRank , "0" , "1" ) ) ) AS ?rankScore ) BIND( CONCAT ( ?rankScore , "|" , COALESCE ( STR( ?popTime ) , "" ) , "|" , STR( ?popVal ) ) AS ?key )
    }
    GROUP BY ?municipality
  }
  BIND( STRAFTER( ?best , "|" ) AS ?after1 ) BIND( STRAFTER( ?after1 , "|" ) AS ?population ) BIND( STRBEFORE( ?after1 , "|" ) AS ?populationTime )
}
ORDER BY ?idescat
LIMIT 500

Using entities:
municipality (wd:Q15284), also known as municipalities
Catalonia (wd:Q5705), also known as Autonomous Community of Catalonia, Cat., Catalonha, Cataluña, Catalunya, etc.

Using properties:
population (wd:P1082 as ps/p), also known as human population, inhabitants, P1082
located in the administrative territorial entity (wd:P131 as wdt), also known as administrative territorial entity, administrative territory, city, happens in, in, etc.
area (wd:P2046 as wdt), also known as acreage, camera resolution, die area, die size, image resolution, 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.
IDESCAT territorial code in Catalonia (wd:P4335 as wdt), also known as P4335
point in time (wd:P585 as pq), also known as as of, at time, by date, date, during, etc.
coat of arms image (wd:P94 as wdt), also known as arms, CoA image, emblem, heraldic, image of coat of arms, representation (heraldic), etc.

Answer:
I executed the query against Wikidata. It returns municipalities in Catalonia (administrative chain includes Catalonia) whose IDESCAT territorial code (P4335) starts with "25". For each municipality it returns: the municipality IRI (?municipality), optional English label (?municipalityLabel), the IDESCAT code (?idescat), the selected population (?population) together with its point in time (?populationTime) chosen preferring statements with preferred rank and the most recent point in time, area in square kilometers if available (?area, from P2046), and coat of arms image if available (?coat, from P94).

The query returned 232 rows when I executed it. You can run the provided SPARQL query to retrieve the full list of municipalities and their data.

What are the municipalities of Catalonia, Spain, with an IDESCAT territorial code starting with "25"? Include their most recent population using their preferred rank (if available), area (if available), and coat of arms image (if available).

[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 are the municipalities of Catalonia, Spain, with an IDESCAT territorial code starting with "25"? Include their most recent population using their preferred rank (if available), area (if available), and coat of arms image (if available).

[Assistant] Step 1: I'll search for a property that represents the IDESCAT territorial code on Wikidata. I'll look for properties related to "IDESCAT" or "IDESCAT territorial code".

[Tool]
Top 10 property alternatives:
1. IDESCAT territorial code in Catalonia (wd:P4335 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as P4335: official identifier for a Catalonian territorial unit, from Institut Estadístic de Catalunya (IDESCAT)
2. Italian cadastre code (municipality) (wd:P806 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as codice catastale, P806: identifier for an Italian comune in the cadastre / identifier for Italian comunes in the cadastre
3. INSEE countries and foreign territories code (wd:P3422 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as P3422: French identifier for countries and foreign territories
4. TERC municipality code (wd:P1653 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as Poland municipal ID, Polish municipal ID, TERYT municipality code, P1653: identifier for a municipality per the Główny Urząd Statystyczny in Poland
5. ELSTAT geographical code (wd:P1116 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as P1116: identifier for administrative regions and settlements of ... Statistical Authority (starting 2010). Not always stable. / identifier for administrative regions of Greece (starting 2010)
6. Territographie ID (wd:P5010 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as P5010: identifier for a rural chapel in the Provence-Alpes-Côte-d'Azur region on the Territography platform developed by the CNRS
7. locality number in Austria (wd:P8384 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via Ortschaftskennziffer), also known as Ortschaftskennziffer, Ortschaftskennziffer (Austria), P8384: identifier for a locality in Austria (Ortschaftskennziffer); format: 5 digits, generally starting with 0 or 1
8. INSEE department code (wd:P2586 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via Insee département code), also known as code département Insee, Insee département code, P2586: number sequence for the identification of departments in France / number sequence for the identification of departments in France / number sequence for the identification of departments in France
9. Statistics Canada Geographic code (wd:P3012 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via Standard Geographical Classification code), also known as SCG code, Standard Geographical Classification code, Statistics Canada GEOUID, Statistics Canada UID, P3012: system by Statistics Canada for categorizing and enumerating the census geographic units of Canada
10. ISTAT ID (wd:P635 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as P635: identifier for municipalities in Italy / identifier for municipalities in Italy

[Assistant] I'll search for the Wikidata item for Catalonia to confirm its identifier.

[Tool]
Top 10 entity alternatives:
1. Catalonia (wd:Q5705), also known as Autonomous Community of Catalonia, Cat., Catalonha, Cataluña, Catalunya, etc.: autonomous community and nationality of Spain / is instance of autonomous community of Spain / is instance of historical nationality
2. Principality of Catalonia (wd:Q15581, matched via Catalonia), also known as Catalonia, Principality, Principality and Counties: principality in the northeastern Iberian Peninsula between the 12th century and 1714 / is instance of historical country
3. 13868 Catalonia (wd:Q2355989, matched via Catalonia), also known as Catalonia: is instance of asteroid / asteroid / asteroid / asteroid
4. Catalonia (wd:Q5635911), also known as IMO 9176046: is instance of High-speed craft / is instance of high-speed craft / catamaran launched in 1998 / is instance of catamaran / is instance of ferry
5. Old Catalonia (wd:Q3754835, matched via Catalonia), also known as Catalonia: is instance of administrative territorial entity / is instance of historical region
6. New Catalonia (wd:Q3751449, matched via Catalonia), also known as Catalonia: is instance of administrative territorial entity / is instance of historical region
7. Catalonia (wd:Q96374545): is instance of publisher
8. Catalonia (wd:Q113834065): is instance of administrative territorial entity / cultural region
9. Catalonia (wd:Q131754019): is instance of regional team
10. Catalonia Hotels & Resorts (wd:Q126180437, matched via Catalonia), also known as Catalonia: is instance of hotel chain / chain of hotels in Spain

[Assistant] I'll search for the Wikidata item for "municipality" in Catalonia (e.g., "municipality of Catalonia" or "municipality of Spain") to find appropriate class to filter instances. I'll use search_entity for "municipality of Catalonia" and "municipality of Spain".

[Tool]
Top 10 entity alternatives:
1. municipality of Catalonia (wd:Q33146843), also known as municipality in Catalonia: is instance of administrative territorial entity type / administrative division of Catalonia, Spain / is subclass of subdivisions of Catalonia / is subclass of municipality of Spain
2. Shanghai (wd:Q8686, matched via Municipality of Shanghai), also known as Hu, Municipality of Shanghai, Pearl of the Orient, Shanghae, Shang-hai, etc.: is instance of Economic and Technological Development Zones / is instance of direct-administered municipality / provincial-level municipality in China / is instance of national central city / is instance of largest city / is instance of global city / is instance of Metropolis / is instance of metropolis / is instance of port city / is instance of megacity / is instance of big city
3. Catalonia (wd:Q5705, matched via Community of Catalonia), also known as Autonomous Community of Catalonia, Cat., Catalonha, Cataluña, Catalunya, etc.: autonomous community and nationality of Spain / is instance of autonomous community of Spain / is instance of historical nationality
4. Tianjin (wd:Q11736, matched via Municipality of Tianjin), also known as Municipality of Tianjin, Tianjin Municipality, Tien-tsin, Tientsin: is instance of Economic and Technological Development Zones / is instance of direct-administered municipality / is instance of national central city / is instance of port city / is instance of big city / is instance of megacity / municipality of China / is instance of city
5. Córdoba (wd:Q5818, matched via Municipality of Cordova), also known as Cordoba, Cordova, Cordova municipality, Municipality of Cordova: municipality in the province of Córdoba, Spain / is instance of municipality of Spain / city in Andalusia, southern Spain
6. Anchorage (wd:Q39450, matched via Municipality of Anchorage), also known as Anchorage, Alaska, Municipality of Anchorage, The City of Lights and Flowers: consolidated city-borough in Alaska, United States of America / is instance of city in the United States / is instance of city of the United States / is instance of consolidated city-county / is instance of big city
7. Toledo (wd:Q5836, matched via Municipality of Toledo), also known as Municipality of Toledo, Toledo, Castile-La Mancha, Toledo municipality, Toledo Municipality, Toledo, Spain: is instance of municipality of Spain / municipality in central Spain / municipality in central Spain / municipality in central Spain / is instance of city
8. Nijmegen (wd:Q47887, matched via Municipality of Nijmegen), also known as Gemeente Nijmegen, Municipality of Nijmegen, Nimeguen: is instance of municipality of the Netherlands / municipality in Gelderland, Netherlands / is instance of government department / is instance of government agency
9. Pichilemu (wd:Q25304, matched via Municipality of Pichilemu), also known as City of Pichilemu, Ciudad de Pichilemu, Illustrious Municipality of Pichilemu, Municipality of Pichilemu, Pichilemu City, etc.: is instance of city in Chile / city in Chile
10. Bogor (wd:Q10393, matched via Municipality of Bogor), also known as Bogor City, Bogor Municipality, Buitenzorg, Buitenzorg City, Buitenzorg Municipality, etc.: city in West Java Province, Indonesia / is instance of city of Indonesia

[Assistant] I'll search for properties for coat of arms image and area and population to confirm identifiers.

[Tool]
Top 10 property alternatives:
1. coat of arms image (wd:P94 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as arms, CoA image, emblem, heraldic, image of coat of arms, representation (heraldic), etc.: image of the item's coat of arms - for the shield part only use P4004 / image of the item's coat of arms / image of the item's coat of arms / is subproperty of image
2. coat of arms (wd:P237 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as P237: subject's coat of arms / subject's coat of arms
3. seal image (wd:P158 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via emblem image), also known as emblem, emblem image, seal, P158: image of subject's seal (emblem) / image of subject's seal (emblem) / is subproperty of image
4. ImagesDéfense ID (wd:P10539 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as P10539: author ID on imagesdefense.gouv.fr
5. Getty Iconography Authority ID (wd:P5986 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as CONA Iconography Authority ID, CONA Iconography Record ID, GIA ID, IA ID, Iconography Authority ID, etc.: identifier from the Getty Iconography Authority / identifier from the Getty Iconography Authority
6. image set (wd:P10696 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as P10696: exemplary image taken from a set, determined to represent the subject in a given role
7. image of function (wd:P2396 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via function image), also known as function image, function range, image, range, P2396: set of values that a mathematical function actually takes
8. rank insignia (wd:P8766 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as P8766: image of the insigna for a rank (such as a military rank) / is subproperty of image
9. official symbol (wd:P2238 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via emblem), also known as emblem, floral emblem, official emblem, official tartan, state tartan, etc.: official symbol of an organisation
10. Bridgeman artist ID (wd:P3965 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via bridgemanimages.com artist identifier), also known as Bridgeman artist identifier, bridgemanimages.com artist ID, bridgemanimages.com artist identifier, P3965: identifier for an artist in Bridgeman images

[Assistant] Search for property for area and population and population rank preferred rank.

[Tool]
Top 10 property alternatives:
1. associated cadastral district (wd:P10254 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via cadastral municipality), also known as cadastral community, cadastral district, cadastral districts, cadastral municipality, Katastralgemeinde, etc.: cadastral district in which a place is located or is part of. ... from administrative entities (P131) in predefined countries
2. area (wd:P2046 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via die area), also known as acreage, camera resolution, die area, die size, image resolution, etc.: area occupied by an object / area occupied by an object
3. NLS Geographic Names Register Place ID (wd:P4119 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via NLS-FI Geographic Names Register Place ID), also known as NLS-FI Geographic Names Register Place ID, P4119: National Land Survey of Finland Geographic Names Register Named Place ID
4. Czech cadastral area ID (wd:P7526 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via cadastral area in the Czech Republic ID), also known as cadastral area in the Czech Republic ID, P7526: identifier for a cadastral area in the Czech Republic, conferred by 'Český úřad zeměměřický a katastrální'
5. BC Geographical Names ID (wd:P2099 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as BC GN ID, BCGN ID, P2099: Unique ID of the BC Geographical Names
6. applies to part (wd:P518 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via area), also known as applied to, applies to aspect, applies to form, applies to phase, apply to, etc.: part, aspect, or form of the item to which the claim applies / part of the item for which the claim is valid / part of the item for which the claim is valid
7. field of work (wd:P101 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via area), also known as academic area, academic discipline, academic subject, activity, activity domain, etc.: specialisation of a person or organisation; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / specialization of a person or organization; see P106 for the occupation / is subproperty of interested in
8. GADM ID (wd:P8714 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via Global Administrative Areas database ID), also known as GBIF place ID, Global Administrative Areas database ID, P8714: identifier in the Global Administrative Areas database
9. Rockipedia area ID (wd:P5173 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as P5173: identifier of an area, an artist's hometown, in the online service Rockipedia
10. 2GIS place-ID (wd:P12487 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as P12487: identifier 2GIS of a place

[Assistant]
Search for population property and population preferred rank. Population property is P1082. Preferred ranks are statement ranks; to get most recent population we need to query population statements and prefer the preferred rank, and then the most recent (by point in time). There's also property P585 for point in time qualifier and P580? But population statements usually have qualifiers: 'point in time' (P585). We need to get the most recent population using their preferred rank (if available). So we should for each municipality find population statements (p:P1082), with rank preferred if exists, else normal? The requirement: "most recent population using their preferred rank (if available)" meaning choose the population statement with rank = preferred; if multiple, choose most recent by point in time; if none have preferred rank, fall back to most recent population statement regardless of rank. SPARQL needs to implement that logic. QLever may support ORDER BY and LIMIT per group? But we must do it all in SPARQL.

Approach: For municipalities in Catalonia with IDESCAT territorial code starting with "25". So property P4335 stores IDESCAT code. We'll filter for STRSTARTS(?idescat, "25") where ?idescat is the wdt:P4335 value (string). Entities must be instance of municipality of Catalonia? Or located in Catalonia? Better to filter by: instance of "municipality" (wd:Q33146843) or subclass? The entity type "municipality of Catalonia" exists wd:Q33146843 — use that as instance of (wdt:P31/wdt:P279? Some municipalities might be instance of "municipality of Spain" (wd:Q15284) and located in Catalonia via P131 (located in administrative territorial entity) chain up to Catalonia. Simpler: filter items that have P4335 code and are located in Catalonia (P131* Catalonia). But some municipalities may have P131 pointing to a comarca or province within Catalonia, not directly to Catalonia. Use a recursive path: ?item wdt:P131+ wd:Q5705. That will find items whose administrative parent chain includes Catalonia.

So triple patterns:

?municipality wdt:P4335 ?idescat .
FILTER(STRSTARTS(?idescat, "25"))

AND ?municipality wdt:P131+ wd:Q5705 .

Also ensure ?municipality is instance of municipality of Spain (optional). But maybe enough.

Next, population: We must get population statements. Use triple with p:P1082 ?popStmt . ?popStmt ps:P1082 ?population . OPTIONAL { ?popStmt pq:P585 ?popTime } . And get rank with ?popStmt wikibase:rank ?popRank ? but the hint: in the allowed prefixes, wikibase is available, but I think QLever endpoint supports wikibase:rank? The prefix wikibase: <http://wikiba.se/ontology#> is provided. In regular Wikidata SPARQL, statement rank is given by statement's wikibase:rank property with values wikibase:PreferredRank, wikibase:NormalRank, etc. So we can filter on that.

We need to pick, for each municipality, the population statement that is preferred if available; else the most recent by point in time. Implementing selection logic: Use subqueries with ORDER BY and LIMIT 1 per municipality. Use SELECT ?municipality ?idescat ?pop ?popTime ?area ?coat ?label WHERE { ... } GROUP BY? But to get top per group, we can use subquery: For population, do:

OPTIONAL {
  SELECT ?municipality (SAMPLE(?populationVal) AS ?population) (SAMPLE(?popTimeVal) AS ?populationTime) WHERE {
    ?municipality p:P1082 ?popStmt .
    ?popStmt ps:P1082 ?populationVal .
    OPTIONAL { ?popStmt pq:P585 ?popTimeVal . }
    OPTIONAL { ?popStmt wikibase:rank ?rank . }
    # We need ranking: prefer preferred ranks.
  } GROUP BY ?municipality
}

But SAMPLE doesn't enforce choosing preferred. We need to order by presence of preferred rank first, then by popTime descending. But within subquery we can use ORDER BY ... LIMIT 1 but that requires selecting ?municipality multiple times across matching statements. We can do:

SELECT ?municipality ?populationVal ?popTimeVal WHERE {
  FILTER ?municipality = outer municipality.
  ?municipality p:P1082 ?popStmt .
  ?popStmt ps:P1082 ?populationVal .
  OPTIONAL { ?popStmt pq:P585 ?popTimeVal . }
  OPTIONAL { ?popStmt wikibase:rank ?rank . }
} ORDER BY DESC((?rank = wikibase:PreferredRank)) DESC(?popTimeVal) LIMIT 1

But SPARQL cannot use boolean equality in ORDER BY maybe supports (IF). QLever supports SPARQL 1.1; use (BOUND and equality). Better: Use expression: ORDER BY DESC(IF( ?rank = wikibase:PreferredRank, 1, 0 )) DESC(?popTimeVal). That should work.

But we cannot easily reference outer ?municipality. But we can use a subquery that selects for any municipalities in main query with their population chosen via subquery that groups by ?municipality and uses ORDER BY and LIMIT 1 within the grouped subquery? Standard approach: Use subquery:

{
  SELECT ?municipality ?populationVal ?popTimeVal WHERE {
    ?municipality p:P1082 ?popStmt .
    ?popStmt ps:P1082 ?populationVal .
    OPTIONAL { ?popStmt pq:P585 ?popTimeVal . }
    OPTIONAL { ?popStmt wikibase:rank ?rank . }
  }
  ORDER BY ?municipality DESC(IF(?rank = wikibase:PreferredRank,1,0)) DESC(?popTimeVal)
}

But this ordering does not work per municipality; needs a partition. But trick: in subquery, use GROUP BY ?municipality and then use max? Alternatively, use VALUES? There's a well-known pattern: use GROUP_CONCAT with separators to pick top by ordering? Or use subquery with subselect per municipality: in main query, for each ?municipality, include a subselect:

OPTIONAL {
  SELECT ?municipality ?population ?popTime WHERE {
    VALUES ?municipality { ... } # but we don't know list
    ?municipality p:P1082 ?popStmt .
    ?popStmt ps:P1082 ?population .
    OPTIONAL { ?popStmt pq:P585 ?popTime . }
    OPTIONAL { ?popStmt wikibase:rank ?rank . }
  }
  ORDER BY DESC(IF(?rank = wikibase:PreferredRank,1,0)) DESC(?popTime)
  LIMIT 1
}

But to use VALUES we need to provide all municipalities — which we don't know. But we can use the subquery inside a larger query: a correlated subquery isn't allowed in SPARQL 1.1. However, QLever supports subqueries correlated to outer variables? I'm not sure. But many SPARQL engines allow a subquery that includes outer variable references — I think it's allowed. Yes, SPARQL 1.1 allows subqueries which can refer to variables from outer scope? I think not — subqueries can't refer to outer variables directly; but you can do SELECT ... WHERE { ?municipality ... } and include it in main query; the subquery will be evaluated independently. But if both main and subquery share ?municipality variable, that will be correlated? I'm uncertain.

Alternate approach: create SELECT ... WHERE { ?municipality wdt:P4335 ?idescat . FILTER STRSTARTS... ; ... then include OPTIONAL { ?municipality p:P1082 ?popStmt . ?popStmt ps:P1082 ?population . OPTIONAL{ ?popStmt pq:P585 ?popTime } OPTIONAL{ ?popStmt wikibase:rank ?rank } } then use GROUP BY ?municipality ?idescat and use MAX(...) with ORDER BY? But need to select specific population value corresponding to preferred rank. You can use MAX on a tuple? Trick: Use ORDER BY in GROUP_CONCAT to pick first via SUBSTR. For example:

GROUP_CONCAT(CONCAT(STR(IF(?rank=wikibase:PreferredRank, "1","0")), "||", STR(?popTime), "||", STR(?population)) ; SEPARATOR="@@") AS ?concatPop

Then use SUBSTR or STRBEFORE to extract the first element after ORDER BY? But GROUP_CONCAT ordering is not standard though some engines support ORDER BY inside GROUP_CONCAT like GROUP_CONCAT(?x; SEPARATOR=";") ORDER BY ?y. SPARQL 1.1 allows GROUP_CONCAT(DISTINCT ?x; SEPARATOR=",") and doesn't support ORDER BY inside. But Wikidata Query Service supports GROUP_CONCAT with ORDER BY inside? Not standard. QLever unknown.

Maybe easier: use the preferred rank check first: find population statements with rank PreferredRank (wikibase:PreferredRank) and pick the most recent among them. If no preferred, then pick most recent normal. This can be done using OPTIONAL blocks: First try to bind ?prefPopulation via subquery selecting among statements with rank PreferredRank ORDER BY ?popTime DESC LIMIT 1. If that fails, fallback to another subquery selecting among all statements ORDER BY ?popTime DESC LIMIT 1. Correlated subqueries referencing outer variable might be allowed. Let's test by trying to run such a query; we must follow step-by-step and execute intermediate queries.

So build main query retrieving municipalities matching P4335 starting with 25 and Catalonia. Start with a basic query listing items, P4335, label.

I'll run a simple query to list municipalities with P4335 starting "25" and ensure results.
I'll run a SPARQL query to find items with P4335 starting with "25" and located in Catalonia (wd:Q5705). This verifies the IDESCAT property and gives the municipality IRIs to work with.

[Tool]
Got 50 rows and 3 columns, showing the first 5 and last 5 rows below:
| municipality                         | municipalityLabel         | idescat       |
| ------------------------------------ | ------------------------- | ------------- |
| Clariana de Cardener (wd:Q100268642) | Clariana de Cardener (en) | 2507530001700 |
| Talavera (wd:Q1020541)               | Talavera (en)             | 252167        |
| Gimenells (wd:Q102064119)            | Gimenells (en)            | 2591230001700 |
| Cerbi (wd:Q1054698)                  | Cerbi (en)                | 2590310012000 |
| El Castell (wd:Q108991840)           | El Castell (en)           | 2514970002200 |
| ...                                  | ...                       | ...           |
| Les Anoves (wd:Q11754765)            | Les Anoves (en)           | 2514970001700 |
| els Arenys (wd:Q11754766)            | els Arenys (en)           | 2503060008100 |
| Les Bordes (wd:Q11754770)            | Les Bordes (en)           | 2517340003800 |
| Les Bordes d'Arfa (wd:Q11754771)     | Les Bordes d'Arfa (en)    | 2518500003800 |
| Les Masies de Nargó (wd:Q11754778)   | Les Masies de Nargó (en)  | 2507720003800 |

[Assistant]
I'll run a final SPARQL query that:
- finds entities with IDESCAT code (P4335) starting with "25" and that are administratively located in Catalonia (P131+ wd:Q5705),
- tries to get the most recent population statement with preferred rank (wikibase:PreferredRank); if none exists it falls back to the most recent population statement,
- retrieves area (P2046) and coat of arms image (P94) when available,
- returns the municipality IRIs (and English labels when available), IDESCAT code, population and its point-in-time, area, and coat of arms image.

Now I'll execute that query.

[Tool]
Got 1,280 rows and 7 columns, showing the first 5 and last 5 rows below:
| municipality                            | municipalityLabel             | idescat       | population | populationTime | area                 | coat                                                                                |
| --------------------------------------- | ----------------------------- | ------------- | ---------- | -------------- | -------------------- | ----------------------------------------------------------------------------------------------------- |
| Pallars Jussà (wd:Q12723)               | Pallars Jussà (en)            | 25            |            |                | 1343.1 (xsd:decimal) | <http://commons.wikimedia.org/wiki/Special:FilePath/Coat%20of%20Arms%20of%20Pallars%20Juss%C3%A0.svg> |
| Abella de la Conca (wd:Q18257)          | Abella de la Conca (en)       | 250019        |            |                | 78.3 (xsd:decimal)   | <http://commons.wikimedia.org/wiki/Special:FilePath/Escut%20d%27Abella%20de%20la%20Conca.svg>         |
| Abella de la Conca (wd:Q24003963)       | Abella de la Conca (en)       | 2500190001700 |            |                |                      |                                                                                |
| Bóixols (wd:Q17181975)                  | Bóixols (en)                  | 2500190002200 |            |                |                      |                                                                                |
| La Rua (wd:Q11930770)                   | La Rua (en)                   | 2500190003800 |            |                |                      |                                                                                |
| ...                                     | ...                           | ...           | ...        | ...            | ...                  | ...                                                                                |
| Gimenells (wd:Q102064119)               | Gimenells (en)                | 2591230001700 |            |                |                      |                                                                                |
| El Pla de la Font (wd:Q6077159)         | El Pla de la Font (en)        | 2591230002200 |            |                |                      |                                                                                |
| Santa Maria de Gimenells (wd:Q11947596) | Santa Maria de Gimenells (en) | 2591230003800 |            |                |                      |                                                                                |
| Riu de Cerdanya (wd:Q13764)             | Riu de Cerdanya (en)          | 259139        |            |                | 12.3 (xsd:decimal)   |                                                                                |
| Riu de Cerdanya (wd:Q126598704)         | Riu de Cerdanya (en)          | 2591390001700 |            |                |                      |                                                                                |

[Tool]
Got 232 rows and 7 columns, showing the first 5 and last 5 rows below:
| municipality                               | municipalityLabel                  | idescat | population | populationTime       | area                | coat                                                                                |
| ------------------------------------------ | ---------------------------------- | ------- | ---------- | -------------------- | ------------------- | --------------------------------------------------------------------------------------------------------------- |
| Abella de la Conca (wd:Q18257)             | Abella de la Conca (en)            | 250019  | 158        | 2024-01-01T00:00:00Z | 78.3 (xsd:decimal)  | <http://commons.wikimedia.org/wiki/Special:FilePath/Escut%20d%27Abella%20de%20la%20Conca.svg>                   |
| Àger (wd:Q372127)                          | Àger (en)                          | 250024  | 602        | 2024-01-01T00:00:00Z | 160.6 (xsd:decimal) | <http://commons.wikimedia.org/wiki/Special:FilePath/Escudo%20de%20%C3%81ger%20%28L%C3%A9rida%29.svg>            |
| Agramunt (wd:Q1778278)                     | Agramunt (en)                      | 250030  | 5629       | 2024-01-01T00:00:00Z | 79.7 (xsd:decimal)  | <http://commons.wikimedia.org/wiki/Special:FilePath/Escut%20d%27agramunt.svg>                                   |
| Els Alamús (wd:Q1902061)                   | Els Alamús (en)                    | 250045  | 800        | 2024-01-01T00:00:00Z | 20.5 (xsd:decimal)  |                                                                                |
| Alàs i Cerc (wd:Q1647251)                  | Alàs i Cerc (en)                   | 250058  | 322        | 2024-01-01T00:00:00Z | 57.7 (xsd:decimal)  | <http://commons.wikimedia.org/wiki/Special:FilePath/Escut%20d%27Al%C3%A0s%20i%20Cerc.svg>                       |
| ...                                        | ...                                | ...     | ...        | ...                  | ...                 | ...                                                                                |
| La Vansa i Fórnols (wd:Q576923)            | La Vansa i Fórnols (en)            | 259097  | 188        | 2024-01-01T00:00:00Z | 106.1 (xsd:decimal) | <http://commons.wikimedia.org/wiki/Special:FilePath/Escut%20de%20la%20Vansa%20i%20F%C3%B3rnols.svg>             |
| Josa i Tuixén (wd:Q984429)                 | Josa i Tuixén (en)                 | 259101  | 122        | 2024-01-01T00:00:00Z | 68.2 (xsd:decimal)  | <http://commons.wikimedia.org/wiki/Special:FilePath/Escut%20de%20Josa%20i%20Tuix%C3%A9n.svg>                    |
| Els Plans de Sió (wd:Q1900803)             | Els Plans de Sió (en)              | 259118  | 512        | 2024-01-01T00:00:00Z | 55.9 (xsd:decimal)  | <http://commons.wikimedia.org/wiki/Special:FilePath/Escut%20dels%20Plans%20de%20Si%C3%B3.SVG>                   |
| Gimenells i el Pla de la Font (wd:Q522934) | Gimenells i el Pla de la Font (en) | 259123  | 1097       | 2024-01-01T00:00:00Z | 55.8 (xsd:decimal)  | <http://commons.wikimedia.org/wiki/Special:FilePath/Escut%20de%20Gimenells%20i%20el%20Pla%20de%20la%20Font.svg> |
| Riu de Cerdanya (wd:Q13764)                | Riu de Cerdanya (en)               | 259139  | 99         | 2024-01-01T00:00:00Z | 12.3 (xsd:decimal)  |                                                                                |

[Assistant] I'll provide the final SPARQL query (the one I executed) and a short summary of the results (number of municipalities found and which variables are returned).

[Tool] Stopping


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?item ?enLabel WHERE {
  ?item rdfs:label "Madonna and Child" @en .
  OPTIONAL {
    ?item rdfs:label ?enLabel .
    FILTER ( LANG( ?enLabel ) = "en" )
  }
  FILTER NOT EXISTS {
    ?item rdfs:label ?frLabel .
    FILTER ( LANG( ?frLabel ) = "fr" )
  }
}
ORDER BY ?item
LIMIT 2000

Got 210 rows and 2 columns, showing the first 5 and last 5 rows below:
| item                              | enLabel                |
| --------------------------------- | ---------------------- |
| Madonna and Child (wd:Q101085785) | Madonna and Child (en) |
| Madonna and Child (wd:Q103888170) | Madonna and Child (en) |
| Madonna and Child (wd:Q105490754) | Madonna and Child (en) |
| Madonna and Child (wd:Q105495932) | Madonna and Child (en) |
| Madonna and Child (wd:Q107437222) | Madonna and Child (en) |
| ...                               | ...                    |
| Madonna and Child (wd:Q80006189)  | Madonna and Child (en) |
| Madonna and Child (wd:Q80006203)  | Madonna and Child (en) |
| Madonna and Child (wd:Q88800712)  | Madonna and Child (en) |
| Madonna and Child (wd:Q90260785)  | Madonna and Child (en) |
| Madonna and Child (wd:Q99454457)  | Madonna and Child (en) |

Answer: I executed the above SPARQL query on Wikidata. It returned 210 items that have the English label exactly "Madonna and Child" and have no French label. The results include items such as wd:Q101085785, wd:Q103888170, wd:Q105490754, wd:Q105495932, wd:Q107437222, ..., wd:Q80006189, wd:Q80006203, wd:Q88800712, wd:Q90260785, wd:Q99454457. The full set of 210 item IRIs was returned by the query.

Which items are labeled "Madonna and Child" in English but do not have a label in French?

[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 items are labeled "Madonna and Child" in English but do not have a label in French?

[Assistant] I will first search the Wikidata index for entities that match the English label "Madonna and Child" to see what's available and to verify how labels are stored. I'll run a search for "Madonna and Child".

[Tool]
Top 10 entity alternatives:
1. Madonna and Child (wd:Q1055111), also known as Madonna with Child, The Lippina: painting by Filippo Lippi in the Uffizi / painting by Filippo Lippi / is instance of painting
2. Madonna and Child (wd:Q4009968), also known as The Virgin and Child with Sts Dominic and Thomas Aquinas: painting by Fra Angelico / is instance of painting / fresco by Fra Angelico / is instance of fresco
3. Madonna and Child (wd:Q6728394), also known as Stoclet Madonna, Stroganoff Madonna: painting by Duccio di Buoninsegna, Metropolitan Museum of Art / painting by Duccio di Buoninsegna / is instance of painting
4. Bache Madonna (wd:Q3842385, matched via Madonna and Child), also known as Madonna and Child: is instance of painting / painting by Titian / painting by Titian / painting by Titian
5. Madonna and Child (wd:Q3842443): painting by Artemisia Gentileschi in the Galleria Spada / painting by Artemisia Gentileschi in the Galleria Spada / is instance of painting
6. Madonna and Child (wd:Q3842485): painting by Giovanni Bellini in the Galleria Borghese / painting by Giovanni Bellini / is instance of painting
7. Madonna and Child (wd:Q3842483): painting by Giovanni Bellini in the Detroit Institute of Arts / painting by Giovanni Bellini / is instance of painting
8. Madonna and Child (wd:Q3842482), also known as Madonna and Child Blessing: painting by Giovanni Bellini in the Pinacoteca di Brera, Milan / painting by Giovanni Bellini / is instance of painting
9. Madonna and Child (wd:Q3213780): painting by Sandro Botticelli / is instance of painting / painting by Botticelli
10. Madonna and Child (wd:Q9309699), also known as Madonna and Child Enthroned, Madonna with Child, Mary and Child, The Virgin and Child, Virgin and Child: artistic depiction of Mary with her child Jesus / is instance of two biblical humans / is instance of artistic theme / is subclass of Madonna

[Assistant] I'll run a SPARQL query that finds items with an English label exactly "Madonna and Child" and that have no label in French. I'll execute it against Wikidata to verify results.

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

[Assistant] Retrying the SPARQL query, keeping the same logic but adding a LIMIT to reduce load and ensure the endpoint responds. I will request up to 1000 matching items.

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

[Assistant] I'll check the rdfs:label triples for wd:Q1055111 to see which language labels it has.

[Tool]
Got 19 rows and 3 columns, showing the first 10 rows below:
| subject                         | property   | object                                |
| ------------------------------- | ---------- | ------------------------------------- |
| Madonna and Child (wd:Q1055111) | rdfs:label | Ama Birjina eta Haurra (eu)           |
| Madonna and Child (wd:Q1055111) | rdfs:label | La Lippina (fr)                       |
| Madonna and Child (wd:Q1055111) | rdfs:label | Lippina (br)                          |
| Madonna and Child (wd:Q1055111) | rdfs:label | Lippina (it)                          |
| Madonna and Child (wd:Q1055111) | rdfs:label | Madonna and Child (en)                |
| Madonna and Child (wd:Q1055111) | rdfs:label | Madonna com Menino e Dois Anjos (pt)  |
| Madonna and Child (wd:Q1055111) | rdfs:label | Madonna en kind (nl)                  |
| Madonna and Child (wd:Q1055111) | rdfs:label | Madonna med barnet (da)               |
| Madonna and Child (wd:Q1055111) | rdfs:label | Madonna mit Kind und zwei Engeln (de) |
| Madonna and Child (wd:Q1055111) | rdfs:label | Marija z otrokom (Lippi) (sl)         |
| ...                             | ...        | ...                                   |

[Assistant] Next I'll run a SPARQL query that selects items with an English rdfs:label exactly "Madonna and Child" and filters out any item that has any French rdfs:label. I'll request up to 1000 results and return the item IRIs and the English label. Now I'll execute that query.

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

[Assistant] I'll list all triples where the property is rdfs:label and the object is the English literal "Madonna and Child"@en to find all items with that exact English label.

[Tool]
Got 812 rows and 3 columns, showing the first 10 rows below:
| subject                         | property   | object                 |
| ------------------------------- | ---------- | ---------------------- |
| Madonna and Child (wd:Q1055111) | rdfs:label | Madonna and Child (en) |
| Madonna and Child (wd:Q4009968) | rdfs:label | Madonna and Child (en) |
| Madonna and Child (wd:Q6728394) | rdfs:label | Madonna and Child (en) |
| Madonna and Child (wd:Q3842443) | rdfs:label | Madonna and Child (en) |
| Madonna and Child (wd:Q3842485) | rdfs:label | Madonna and Child (en) |
| Madonna and Child (wd:Q3842483) | rdfs:label | Madonna and Child (en) |
| Madonna and Child (wd:Q3842482) | rdfs:label | Madonna and Child (en) |
| Madonna and Child (wd:Q3213780) | rdfs:label | Madonna and Child (en) |
| Madonna and Child (wd:Q9309699) | rdfs:label | Madonna and Child (en) |
| Madonna and Child (wd:Q3842386) | rdfs:label | Madonna and Child (en) |
| ...                             | ...        | ...                    |

[Assistant] I'll run a final SPARQL query that exactly matches items with the English label "Madonna and Child" (using the literal with language tag) and filters out any item that has a French rdfs:label. The query will return the item IRIs and the English label. I'll execute it now.

[Tool]
Got 210 rows and 2 columns, showing the first 5 and last 5 rows below:
| item                              | enLabel                |
| --------------------------------- | ---------------------- |
| Madonna and Child (wd:Q101085785) | Madonna and Child (en) |
| Madonna and Child (wd:Q103888170) | Madonna and Child (en) |
| Madonna and Child (wd:Q105490754) | Madonna and Child (en) |
| Madonna and Child (wd:Q105495932) | Madonna and Child (en) |
| Madonna and Child (wd:Q107437222) | Madonna and Child (en) |
| ...                               | ...                    |
| Madonna and Child (wd:Q80006189)  | Madonna and Child (en) |
| Madonna and Child (wd:Q80006203)  | Madonna and Child (en) |
| Madonna and Child (wd:Q88800712)  | Madonna and Child (en) |
| Madonna and Child (wd:Q90260785)  | Madonna and Child (en) |
| Madonna and Child (wd:Q99454457)  | Madonna and Child (en) |

[Assistant] I will now provide the final SPARQL query and the answer (the list of matching items). I will include the SPARQL query I executed and summarize the results count and show the items.

[Tool] Stopping