PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( DISTINCT ?note ) AS ?count ) WHERE {
  wd:Q202021 wdt:P527 ?note .
  ?note wdt:P31 ?type .
  FILTER ( ?type = wd:Q1760309 || ?type = wd:Q263478 )
}

Got 1 row and 1 column:
| count        |
| ------------ |
| 21 (xsd:int) |

Even after filtering for instances of "pitch class" or "note", Wikidata still lists 21 distinct items as parts of the chromatic scale. This suggests that Wikidata's data includes more than just the standard 12 pitch classes—possibly due to enharmonic equivalents or other notational variants.

Here is the refined query and answer, with a clarification about the data source:

SPARQL query:
```sparql
SELECT (COUNT(DISTINCT ?note) AS ?count) WHERE {
  wd:Q202021 wdt:P527 ?note .
  ?note wdt:P31 ?type .
  FILTER (?type = wd:Q1760309 || ?type = wd:Q263478)
}
```

Answer:
According to Wikidata, there are 21 items classified as pitch classes or notes that are part of the chromatic scale. This count may include enharmonic equivalents or notational variants and does not match the standard music theory definition of 12 pitch classes.

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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

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

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

[User] How many pitch classes are part of the chromatic scale?

[Assistant]
Let's break down the question:

1. The user is asking about the number of pitch classes in the chromatic scale.
2. We need to identify the entity for "chromatic scale" and the property that relates it to "pitch classes" or "number of pitch classes".

Step 1: Search for the entity "chromatic scale" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. chromatic scale (wd:Q202021): musical scale with twelve pitches, each a semitone above or below another
2. shí-èr-lǜ, also known as Chinese chromatic scale (wd:Q716377): gamut in ancient Chinese music
3. Von Luschan's chromatic scale, also known as VLS, von Luschan's scale, von Luschan scale (wd:Q1528975): method of classifying skin color
4. Colour Vision and Chromaticity Scales (wd:Q60269156)
5. Colour Vision and Chromaticity Scales (wd:Q60269161)
6. Colour Vision and Chromaticity Scales (wd:Q60084414): scientific article published in Nature
7. scale, also known as gamut, musical scale (wd:Q179651): set of musical notes ordered by pitch
8. scale, also known as scales, Animal Scales, Animal Scale (wd:Q188488): small rigid plate that grows out of an animal's skin
9. scale, also known as map scale (wd:Q193642): ratio of a distance on the map to the corresponding distance on the ground
10. scale, also known as scale ratio, coefficient of proportionality, proportionality constant (wd:Q10858537): proportional ratio of a linear dimension of a model to the same feature of the original

[Assistant]
The most relevant entity for "chromatic scale" in music is wd:Q202021.

Next, we need to find the property that relates the chromatic scale to its number of pitch classes, or to the concept of pitch class in general. Let's search for properties of "chromatic scale" related to "pitch class" or "number".

[Tool]
Top 10 property alternatives:
1. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
2. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
3. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as p/wdt): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
4. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as p/wdt): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
5. Commons category, also known as category on Wikimedia Commons, Wikimedia Commons category, Wikimedia Commons cat, Commons cat, commonscat (wd:P373 as p/wdt): name of the Wikimedia Commons category containing files related to this item (without the prefix "Category:")
6. Microsoft Academic ID, also known as MS Academic ID, Microsoft ID, Microsoft Academic Work ID, Microsoft Academic topic ID, Microsoft Academic Source ID (wd:P6366 as wdt/p/wdtn): identifier for an object or topic in the Microsoft Academic Graph (until 31 December 2021)

No other items found

[Assistant]
There is no direct property linking "chromatic scale" to "pitch class" in the properties of the entity. However, the property "has part(s)" (wd:P527) is present, which is often used to list the components of a set or collection.

Let's check what entities are listed as "has part(s)" for the chromatic scale. If these are pitch classes or notes, we can count them.

[Tool]
Got 21 rows and 3 columns, showing the first 10 rows below:
| subject                      | property               | object            |
| ---------------------------- | ---------------------- | ----------------- |
| chromatic scale (wd:Q202021) | has part(s) (wdt:P527) | C (wd:Q843813)    |
| chromatic scale (wd:Q202021) | has part(s) (wdt:P527) | A (wd:Q744346)    |
| chromatic scale (wd:Q202021) | has part(s) (wdt:P527) | D (wd:Q1651121)   |
| chromatic scale (wd:Q202021) | has part(s) (wdt:P527) | B (wd:Q726738)    |
| chromatic scale (wd:Q202021) | has part(s) (wdt:P527) | sol (wd:Q1440231) |
| chromatic scale (wd:Q202021) | has part(s) (wdt:P527) | F (wd:Q775617)    |
| chromatic scale (wd:Q202021) | has part(s) (wdt:P527) | E (wd:Q1622022)   |
| chromatic scale (wd:Q202021) | has part(s) (wdt:P527) | B♭ (wd:Q13418258) |
| chromatic scale (wd:Q202021) | has part(s) (wdt:P527) | C♯ (wd:Q3267651)  |
| chromatic scale (wd:Q202021) | has part(s) (wdt:P527) | E♭ (wd:Q633464)   |
| ...                          | ...                    | ...               |

[Assistant]
The chromatic scale (wd:Q202021) has multiple "has part(s)" (wdt:P527) entries, each corresponding to a musical note (e.g., C, A, D, B, etc.). These are the pitch classes that make up the chromatic scale.

To answer the question, we need to count the number of unique "has part(s)" objects for the chromatic scale. Let's write a SPARQL query to count these.

[Tool]
Got 1 row and 1 column:
| count        |
| ------------ |
| 21 (xsd:int) |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query correctly counts the number of distinct parts (notes) of the chromatic scale using the 'has part' (P527) property. However, the answer states there are 21 pitch classes, which is inconsistent with standard music theory (which recognizes 12 pitch classes in the chromatic scale) and suggests Wikidata's data may be overly broad or include duplicates/irrelevant items. The query should be refined to filter for items that are actually pitch classes (e.g., instances of 'pitch class' or 'musical note'), to avoid counting irrelevant components. Additionally, the answer should clarify that the count is based on Wikidata's data, which may not align with standard definitions.

[Assistant]
Thank you for the feedback. You are correct: the chromatic scale in standard music theory consists of 12 pitch classes, but Wikidata's "has part" property for the chromatic scale includes more than 12 items, possibly due to enharmonic equivalents, solfège syllables, or other non-pitch-class components.

To refine the query, I will:
1. Identify the correct entity for "pitch class" or "musical note" in Wikidata.
2. Filter the "has part" results to only include those that are instances of "pitch class" or "musical note".
3. Count the distinct filtered results.

Step 1: Search for the entity "pitch class" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. pitch class (wd:Q1760309): set of musical pitches modulo the octave
2. Pitch class space (wd:Q7198846)
3. tone or pitch accent class, also known as pitch accent class, type of tone, tone class, type of pitch accent (wd:Q113152870): class of linguistic tone or pitch accent
4. tone or pitch accent class, also known as pitch accent class, pitch accent type, tone class, tone type (wd:P5426): type of an tone or pitch accent of a lexeme with respect to the classifications for a given tonal or pitch accented language
5. Buselik pitch class set (wd:Q125510533): five notes defining the Buselik scale
6. Çârgâh pitch class set (wd:Q125536113): five notes defining the Buselik scale
7. Hicaz pitch class set (wd:Q125498688): set of scales named after the Hicaz makam
8. Harmonic pitch class profiles (wd:Q5659274)
9. Kürdî pitch class set (wd:Q125536115): five notes defining the Buselik scale
10. Uşşak pitch class set (wd:Q125536004): five notes defining the Buselik scale

[Assistant] The entity for "pitch class" is wd:Q1760309. Now, I will check if the notes listed as "has part(s)" of the chromatic scale are instances of "pitch class" (wd:Q1760309) or "musical note". To be thorough, I will also search for the entity "musical note".

[Tool]
Top 10 entity alternatives:
1. note, also known as musical note, music note (wd:Q263478): sign used in musical notation to describe a pitched sound (frequency + duration)
2. musical note, also known as note (wd:Q55400101): heraldic figure
3. 🎵, also known as U+1F3B5, note emoji, music emoji, musical note emoji, MUSICAL NOTE (wd:Q87577161): Unicode character
4. musical note (wd:L1369333-S2)
5. musical note (wd:L1142923-S1)
6. musical note (wd:L987662-S2)
7. musical note (wd:L9211-S1)
8. musical note (wd:L68561-S1)
9. musical note (wd:L679504-S1)
10. musical note (wd:L669847-S1)

[Assistant]
The relevant entity for "musical note" is wd:Q263478.

Now, I will refine the query to:
- Get all parts of the chromatic scale (wd:Q202021 wdt:P527 ?note)
- Filter ?note to only those that are instances of "pitch class" (wd:Q1760309) or "musical note" (wd:Q263478)
- Count the distinct results

First, let's check which property is used to indicate "instance of" (should be wd:P31), and then construct the refined query.

[Tool]
Got 21 rows and 1 column, showing the first 5 and last 5 rows below:
| note              |
| ----------------- |
| B♭ (wd:Q13418258) |
| sol (wd:Q1440231) |
| E (wd:Q1622022)   |
| D (wd:Q1651121)   |
| F♯ (wd:Q2652945)  |
| ...               |
| B (wd:Q726738)    |
| A (wd:Q744346)    |
| F (wd:Q775617)    |
| C (wd:Q843813)    |
| G♭ (wd:Q969284)   |

[Tool]
Got 46 rows and 3 columns, showing the first 10 rows below:
| subject            | property              | object                    |
| ------------------ | --------------------- | ------------------------- |
| C (wd:Q843813)     | instance of (wdt:P31) | pitch class (wd:Q1760309) |
| A (wd:Q744346)     | instance of (wdt:P31) | pitch class (wd:Q1760309) |
| D (wd:Q1651121)    | instance of (wdt:P31) | pitch class (wd:Q1760309) |
| B (wd:Q726738)     | instance of (wdt:P31) | pitch class (wd:Q1760309) |
| sol (wd:Q1440231)  | instance of (wdt:P31) | pitch class (wd:Q1760309) |
| F (wd:Q775617)     | instance of (wdt:P31) | pitch class (wd:Q1760309) |
| E (wd:Q1622022)    | instance of (wdt:P31) | pitch class (wd:Q1760309) |
| shruti (wd:Q58257) | instance of (wdt:P31) | pitch class (wd:Q1760309) |
| B♭ (wd:Q13418258)  | instance of (wdt:P31) | pitch class (wd:Q1760309) |
| C♯ (wd:Q3267651)   | instance of (wdt:P31) | pitch class (wd:Q1760309) |
| ...                | ...                   | ...                       |

[Tool]
Got 469 rows and 3 columns, showing the first 10 rows below:
| subject           | property              | object            |
| ----------------- | --------------------- | ----------------- |
| C (wd:Q843813)    | instance of (wdt:P31) | note (wd:Q263478) |
| A (wd:Q744346)    | instance of (wdt:P31) | note (wd:Q263478) |
| D (wd:Q1651121)   | instance of (wdt:P31) | note (wd:Q263478) |
| B (wd:Q726738)    | instance of (wdt:P31) | note (wd:Q263478) |
| sol (wd:Q1440231) | instance of (wdt:P31) | note (wd:Q263478) |
| F (wd:Q775617)    | instance of (wdt:P31) | note (wd:Q263478) |
| E (wd:Q1622022)   | instance of (wdt:P31) | note (wd:Q263478) |
| B♭ (wd:Q13418258) | instance of (wdt:P31) | note (wd:Q263478) |
| C♯ (wd:Q3267651)  | instance of (wdt:P31) | note (wd:Q263478) |
| E♭ (wd:Q633464)   | instance of (wdt:P31) | note (wd:Q263478) |
| ...               | ...                   | ...               |

[Assistant]
Many of the notes listed as parts of the chromatic scale are instances of both "pitch class" (wd:Q1760309) and "note" (wd:Q263478). To ensure accuracy, I will filter for notes that are instances of either "pitch class" or "note".

Now, I will write a refined SPARQL query:
- Get all parts of the chromatic scale (wd:Q202021 wdt:P527 ?note)
- Filter ?note to only those that are instances of "pitch class" (wd:Q1760309) or "note" (wd:Q263478)
- Count the distinct results

Let's execute this refined query.

[Tool]
Got 1 row and 1 column:
| count        |
| ------------ |
| 21 (xsd:int) |

[Assistant]
Even after filtering for instances of "pitch class" or "note", Wikidata still lists 21 distinct items as parts of the chromatic scale. This suggests that Wikidata's data includes more than just the standard 12 pitch classes—possibly due to enharmonic equivalents or other notational variants.

Here is the refined query and answer, with a clarification about the data source:

SPARQL query:
```sparql
SELECT (COUNT(DISTINCT ?note) AS ?count) WHERE {
  wd:Q202021 wdt:P527 ?note .
  ?note wdt:P31 ?type .
  FILTER (?type = wd:Q1760309 || ?type = wd:Q263478)
}
```

Answer:
According to Wikidata, there are 21 items classified as pitch classes or notes that are part of the chromatic scale. This count may include enharmonic equivalents or notational variants and does not match the standard music theory definition of 12 pitch classes.

[User]
Feedback (status=done):
The answer is correct and the SPARQL query is well-formed for the user's question. The query counts the distinct items that are part of the chromatic scale and are classified as either 'pitch class' or 'note', which matches the intent of the question. The explanation also correctly notes the discrepancy between the Wikidata result and standard music theory, providing appropriate context. No further refinement is needed.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?country WHERE {
  wd:Q689141 wdt:P495 ?country
}

Got 1 row and 1 column:
| country         |
| --------------- |
| Sweden (wd:Q34) |

Spotify was created in Sweden.

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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

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

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

[User] In which country was Spotify created?

[Assistant]
Let's break down the question:

1. The main entity is "Spotify".
2. The property of interest is the "country where it was created" or "country of origin".

First, I will search for the entity "Spotify" in Wikidata to get its identifier.

[Tool]
Top 10 entity alternatives:
1. Spotify, also known as spotify.com (wd:Q689141): Swedish audio streaming service
2. Spotify Technology, also known as Spotify, Spotify Technology S.A. (wd:Q60269744): Luxembourgish holding company
3. Spotify, also known as Spotify AB (wd:Q87067874): Swedish company
4. Spotify Wrapped, also known as Wrapped (wd:Q109591569): Spotify viral marketing campaign
5. Spotify Kids (wd:Q109918329): Spotify mobile app for children
6. Spotify Greenroom, also known as Greenroom (wd:Q107297832): Audio based social networking service
7. Spotify Singles (wd:Q65460075): single by Taylor Swift
8. Spotify Singles (wd:Q88780439): single series by Spotify
9. Spotify Singles (wd:Q88780582): single by Kim Petras
10. Spotify Singles (wd:Q115563434): 2017 EP by Royal Blood

[Assistant]
The most relevant entity for the streaming service is "Spotify" (wd:Q689141), described as a Swedish audio streaming service. Now, I need to find the property that relates to the "country where it was created" or "country of origin".

I will search for properties related to "country of origin" for Spotify.

[Tool]
Top 10 property alternatives:
1. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as p/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
2. location of formation, also known as place of incorporation, originates from, place of establishment, place of formation, place of foundation (wd:P740 as p/wdt): location where a group or organization was formed, location of creation
3. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
4. operator, also known as offered by, operated by, provided by, run by, service operator (wd:P137 as p/wdt): person, profession, organization or entity that operates the equipment, facility, or service, used by
5. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as p/wdt): specialization of a person or organization; see P106 for the occupation, interested in
6. Wikidata property, also known as main property, property for this item, property, has property (wd:P1687 as p/wdt): main Wikidata property for this item
7. programmed in, also known as language, programming language, written in (wd:P277 as p/wdt): the programming language(s) in which the software is developed
8. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as p/wdt): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
9. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
10. has use, also known as utility, used in, used for, used as, use (wd:P366 as p/wdt): main use of the subject (includes current and former usage)

No other items found

[Assistant]
The most relevant properties are:
- "country of origin" (wdt:P495)
- "location of formation" (wdt:P740)

Since the question asks for the country, "country of origin" (wdt:P495) is the most direct match. I will now construct a SPARQL query to find the country of origin for Spotify (wd:Q689141), and also optionally retrieve its label.

[Tool]
Got 1 row and 2 columns:
| country         | countryLabel |
| --------------- | ------------ |
| Sweden (wd:Q34) | Sweden (en)  |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the country of origin for Spotify using the appropriate entity (wd:Q689141) and property (wd:P495). The result matches the expected answer, and the query returns the IRI of the country as required. No further refinement is needed.


PREFIX p: <http://www.wikidata.org/prop/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( DISTINCT ?performer ) AS ?count ) WHERE {
  ?work wdt:P161 ?performer .
  ?work p:P161 ?castStatement .
  ?castStatement ps:P161 ?performer ; pq:P453 wd:Q79037 .
  ?performer wdt:P27 wd:Q145 .
}

Got 1 row and 1 column:
| count       |
| ----------- |
| 2 (xsd:int) |

There are 2 Spider-Man performers who are citizens of the United Kingdom.

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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

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

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

[User] how many of spiderman perfomers are citizens of the united kingdom?

[Assistant]
Let's break down the question:

1. We need to identify "Spider-Man performers"—that is, people who have portrayed Spider-Man.
2. Then, we need to check which of these performers are citizens of the United Kingdom.
3. Finally, we need to count how many such performers there are.

Step 1: Identify the entity for Spider-Man and find performers who have portrayed this character. Usually, this is modeled as "cast member" or "character portrayed" in Wikidata.

Step 2: For each performer, check their citizenship property for the United Kingdom.

Step 3: Count the number of unique performers who satisfy both conditions.

First, let's search for the entity "Spider-Man" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Spider-Man, also known as Wallcrawler, The Amazing Spider-Man, The Human Spider, The Fantastic Spider-Man, Web-slinger (wd:Q79037): fictional character in Marvel Comics, photographer, scientist, superhero, inventor, teacher
2. Spider-Man (wd:Q484442): 2002 American film directed by Sam Raimi
3. Spider-Man, also known as Marvel's Spider-Man (wd:Q25340029): 2018 video game developed by Insomniac Games
4. Spider-Man, also known as Spider-Man: The Animated Series (wd:Q569934): American animated television series from 1994–1998
5. Miles Morales, also known as Ultimate Spider-Man, Spider-Man, Miles Gonzalo Morales (wd:Q59826): fictional character in Marvel Comics, superhero, student
6. Spider-Man, also known as Spider-Man 2000 (wd:Q288296): 2000 video game
7. Peter Parker, also known as Peter #1, Peter 1, Peter One, Peter-One, Spider-Man (wd:Q23991129): fictional character from the Marvel Cinematic Universe
8. Marvel's Spider-Man, also known as Spider-Man (wd:Q28207200): American animated television series
9. Spider-Man, also known as Supaidāman (wd:Q2087538): Japanese-US late 1970's television series
10. Spider-Man (wd:Q2333456): US late 1960s animated television series

[Assistant]
The main entity for the character Spider-Man is wd:Q79037. To find performers who have portrayed Spider-Man, we need to look for people who have played this character in films, TV, or other media.

The relevant property is likely "portrayed by" (for the character) or "character role" (for the actor). Let's search for properties related to "portrayed by" or "performer" to see which one links Spider-Man to its performers.

[Tool]
Top 10 property alternatives:
1. depicted by, also known as acted by, shown in, seen in, portrayed by, played by (wd:P1299 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): object depicting this subject (object being creative works such as books, films, paintings)
2. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject
3. used by, also known as armiger, user, played by, of (wd:P1535 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): item or concept that makes use of the subject (use sub-properties when appropriate)
4. name of the character role, also known as character named as, role named as, role name, name of the role, name of the character (wd:P4633 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): name by which a character role is recorded in a database or ment...ably a specific performance of a theatrical production of a play, name
5. notable role, also known as notable character role, notable for character role, notable for role (wd:P10606 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): role in a theatrical, motion picture, television, or other work that a performer is particularly known for, notable work
6. describes actor of (wd:P12027 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): predicate sense whose actor (an agent or a cause—basically the instigator of an action) is denoted by this sense
7. cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
8. character role, also known as role, plays, performer of, as, acting role (wd:P453 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): specific role played or filled by subject -- use only as qualifier of "cast member" (P161), "voice actor" (P725)
9. agents of action have role, also known as actors have role, agent has role, agent of action has role, agents have role, done by agent(s) with role (wd:P12993 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): role that agents of this action take on in the context of this action
10. present in work, also known as is shown in, in work, in narrative, character in, from work (wd:P1441 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): this (fictional or fictionalized) entity, place, or person appea...r works, P1343 for entities described in non-fictional accounts)

[Assistant]
The most relevant properties for linking Spider-Man to its performers are:

- wd:P175 (performer)
- wd:P161 (cast member)
- wd:P453 (character role, as a qualifier)
- wd:P1299 (depicted by / portrayed by)

However, for a fictional character like Spider-Man (wd:Q79037), the property "portrayed by" (wd:P1299) is likely the most direct way to find human performers who have played Spider-Man.

Let's list some triples where Spider-Man (wd:Q79037) is the subject and wd:P1299 ("portrayed by") is the property, to see how this is modeled.

[Tool] Got no rows and 3 columns

[Assistant]
It appears that there are no direct triples using "portrayed by" (wdt:P1299) for Spider-Man (wd:Q79037) as the subject. This suggests that Wikidata may not use this property directly on the character entity for linking to its performers.

Another common approach is to look at works (films, TV shows, etc.) featuring Spider-Man and check their "cast member" (wdt:P161) property, then filter for those who played Spider-Man. The specific role can often be found as a qualifier (character role, wd:P453).

Let's try listing some triples for a well-known Spider-Man film (e.g., "Spider-Man" 2002, wd:Q484442) with the "cast member" property to see how the performers and their roles are modeled.

[Tool]
Got 34 rows and 3 columns, showing the first 10 rows below:
| subject                 | property               | object                       |
| ----------------------- | ---------------------- | ---------------------------- |
| Spider-Man (wd:Q484442) | cast member (wdt:P161) | Kirsten Dunst (wd:Q76478)    |
| Spider-Man (wd:Q484442) | cast member (wdt:P161) | Stan Lee (wd:Q181900)        |
| Spider-Man (wd:Q484442) | cast member (wdt:P161) | Tobey Maguire (wd:Q165524)   |
| Spider-Man (wd:Q484442) | cast member (wdt:P161) | Willem Dafoe (wd:Q188772)    |
| Spider-Man (wd:Q484442) | cast member (wdt:P161) | James Franco (wd:Q306403)    |
| Spider-Man (wd:Q484442) | cast member (wdt:P161) | Lucy Liu (wd:Q188375)        |
| Spider-Man (wd:Q484442) | cast member (wdt:P161) | Elizabeth Banks (wd:Q219373) |
| Spider-Man (wd:Q484442) | cast member (wdt:P161) | Lucy Lawless (wd:Q133112)    |
| Spider-Man (wd:Q484442) | cast member (wdt:P161) | Octavia Spencer (wd:Q229254) |
| Spider-Man (wd:Q484442) | cast member (wdt:P161) | J. K. Simmons (wd:Q150482)   |
| ...                     | ...                    | ...                          |

[Assistant]
We see that "cast member" (wdt:P161) links the film to its actors, but it doesn't specify which character each actor played. However, in Wikidata, the specific character role is often included as a qualifier (wd:P453) on the "cast member" statement.

To find all performers who played Spider-Man, we need to:
1. Find all films, TV shows, etc., where Spider-Man appears.
2. For each, get the "cast member" and check if the "character role" qualifier is Spider-Man (wd:Q79037).
3. Collect the unique performers.
4. Check which of these have United Kingdom citizenship.

Let's search for the property "citizenship" to confirm its property ID.

[Tool]
Top 10 property alternatives:
1. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): the object is a country that recognizes the subject as its citizen, country
2. country for sport, also known as sports nationality, sports country, sport nationality, sporting nationality, sport country (wd:P1532 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): country a person or a team represents when playing a sport, country
3. permanent resident of, also known as landed immigrant of, PR (wd:P5389 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): country or region where a person has the legal status of permanent resident
4. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): person or organization occupying property, used by
5. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
6. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): most specific known birth location of a person, animal or fictional character, location
7. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): the place where the person is or has been, resident, location
8. right to vote, also known as suffrage (wd:P2964 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): people who have right to vote at this election, referendum, etc.
9. category for people born here, also known as category for place of birth, category of people born here (wd:P1464 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): category item that groups people born in this place, related category
10. A New Nation Votes ID (wd:P12578 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): ID of a person in A New Nation Votes: American Electoral Returns, 1788-1825

[Assistant]
The property for "country of citizenship" is wd:P27.

Now, let's summarize the plan for the SPARQL query:
- Find all works (films, TV, etc.) with "cast member" (wdt:P161) statements.
- For each "cast member" statement, check if the "character role" (wd:P453) qualifier is Spider-Man (wd:Q79037).
- For each performer, check if their "country of citizenship" (wdt:P27) is the United Kingdom (wd:Q145).
- Count the number of unique such performers.

Let's search for the entity for the United Kingdom to confirm its ID.

[Tool]
Top 10 entity alternatives:
1. United Kingdom, also known as U.K., UK, U. K., U K, United Kingdom of Great Britain and Northern Ireland (wd:Q145): country in north-west Europe
2. United Kingdom, also known as U K, The United Kingdom of Great Britain and Northern Ireland, The UK, U. K., Great Britain and Northern Ireland (wd:Q145): country in north-west Europe
3. United Kingdom of Great Britain and Ireland, also known as Great Britain and Ireland, UK, UKGBI, United Kingdom (wd:Q174193): historical sovereign state (1801–1922)
4. A United Kingdom, also known as United Kingdom (wd:Q21528200): 2016 film by Amma Asante
5. United Kingdom in the Eurovision Song Contest 2010, also known as United Kingdom (wd:Q974636)
6. United Kingdom (wd:Q108280869): 1989 studio album by American Music Club
7. Pedlars Act 1871, also known as Pedlars Act 1881, United Kingdom, (wd:Q55629342): 1871 United Kingdom of Great Britain and Ireland Act of Parliament 34 & 35 Vic c. 96
8. United Kingdom (wd:Q110577800): Manny Montes's single
9. United Kingdom (wd:Q7887906): album by Manny Montes
10. United Kingdom (wd:Q96412324)

[Assistant]
The entity for the United Kingdom is wd:Q145.

Now, let's write the SPARQL query:
- Find all works with "cast member" (wdt:P161) statements.
- For each cast member, check if the "character role" (wd:P453) qualifier is Spider-Man (wd:Q79037).
- For each performer, check if their "country of citizenship" (wdt:P27) is the United Kingdom (wd:Q145).
- Count the unique performers.

Let's construct and execute this query.

[Tool]
Got 1 row and 1 column:
| count       |
| ----------- |
| 2 (xsd:int) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly counts the number of distinct performers who have played Spider-Man (using the character role qualifier) and are citizens of the United Kingdom. The use of qualifiers and citizenship is appropriate, and the result matches the question. No further refinement is needed.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?song WHERE {
  wd:Q828282 wdt:P658 ?song
}

Wikidata does not currently contain the track listing for the album 'Fijación Oral vol. 1' (wd:Q828282). There are no properties such as 'tracklist' (wdt:P658) or 'published in' (wdt:P1433) linking the album to its songs, nor are there songs linked to the album. Therefore, it is not possible to answer the question with a SPARQL query over the current Wikidata data.

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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

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

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

[User] Which songs made up the album Fijación Oral vol. 1 ?

[Assistant]
Let's break down the question:

1. The user wants to know which songs are part of the album "Fijación Oral vol. 1".
2. First, I need to identify the entity for "Fijación Oral vol. 1" in Wikidata.
3. Then, I need to find the property that links an album to its songs (track listing).

I'll start by searching for the entity "Fijación Oral vol. 1".

[Tool]
Top 10 entity alternatives:
1. Fijación Oral, Vol. 1, also known as Fijación Oral – vol. 1, Fijación Oral (Vol. 1), Fijación Oral Vol. 1 (wd:Q828282): 2005 studio album by Shakira
2. Oral Fixation Volumes 1 & 2, also known as Oral Fixation, Vols. 1-2 (wd:Q3278323): 2006 compilation box set by Shakira
3. Vol. 1 (wd:Q3284180): album by Hurt
4. 15 Vol. 1 (wd:Q9955140): 1997 compilation album by Arakain
5. Vol. 1, also known as Volume 1 (wd:Q2844005): 1965 debut studio album by Robert Charlebois
6. Vol. 1 (wd:Q96414091)
7. Vol. 1 (wd:Q9369071): 2008 studio album by Grzybowski Band
8. Vol. 1 (wd:Q7939947): album by We Are The Becoming
9. Vol. 1 (wd:Q7939946): 1999 extended play by Breed 77
10. Vol. 1 (wd:Q65054996): album by Samae Koskinen

[Assistant]
The most relevant entity for "Fijación Oral vol. 1" is wd:Q828282, which is the 2005 studio album by Shakira.

Next, I need to find the property that links an album to its songs (track listing). I'll search for properties related to "track listing" or "song" for albums.

[Tool]
Top 10 property alternatives:
1. tracklist, also known as tracks, track listing, track list, songs, list of tracks (wd:P658 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): audio tracks contained in this release, has part(s)
2. discography, also known as discography link, recording catalog (wd:P358 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): item for list pages with discography of artist or band, list of works
3. published in, also known as song on album, tome of the book, tome of, track of, track on (wd:P1433 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): larger work that a given work was published in, like a book, journal or music album, part of
4. featured track(s), also known as songs, soundtrack, OST, music tracks, music track (wd:P10664 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): soundtrack of this audiovisual work
5. Discogs track ID, also known as Discogs recording ID, recording ID (Discogs), track ID (Discogs) (wd:P6079 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): identifier for a music track in Discogs
6. catalog, also known as catalogue, registry, exhibition catalogue, cat. (wd:P972 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): catalog for the item, or, as a qualifier of P528 – catalog for which the 'catalog code' is valid, part of
7. Soccerway player ID, also known as soccerway.com/, Soccerway person ID, int.soccerway.com/, https://int.soccerway.com/players/, https://int.soccerway.com/ (wd:P2369 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): person identifier on the Soccerway website
8. setlist, also known as set list, works performed, songs performed, performances, performance list (wd:P9793 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): performances of songs or other music at an event; concert program, presented works
9. catalogue raisonné, also known as reasoned catalogue, artist catalogue, artist catalog, Art Catalog (wd:P9969 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): comprehensive, annotated listing of all the known artworks by an artist either in a particular medium or all media., catalog
10. MusicBrainz release group ID, also known as album MBID, single MBID, single ID (MusicBrainz), release group MBID, release group ID (MusicBrainz) (wd:P436 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): identifier for a release group per the MusicBrainz open music encyclopedia (album, single, etc.)

[Assistant]
The property "tracklist" (wd:P658) is the most relevant for listing the songs contained in an album.

Now, I'll check how this property is used for the album "Fijación Oral, Vol. 1" (wd:Q828282) to see if it links to the songs.

[Tool] Got no rows and 3 columns

[Assistant]
It appears that there are no direct triples using wdt:P658 (tracklist) for the album "Fijación Oral, Vol. 1" (wd:Q828282) in the knowledge graph. However, sometimes the relationship can be modeled the other way around: individual songs might have a property indicating which album they are part of.

The property "published in" (wd:P1433) can be used for this purpose, as it can indicate that a song was published in a particular album. I'll search for songs that have "published in" (wd:P1433) pointing to "Fijación Oral, Vol. 1" (wd:Q828282).

[Tool] Got no rows and 3 columns

[Assistant]
There are no direct triples using "published in" (wdt:P1433) pointing to "Fijación Oral, Vol. 1" (wd:Q828282) either. This suggests that the album's track listing may not be fully modeled in Wikidata using these properties.

Before giving up, I'll try searching for any other properties that might link songs to this album. I'll search for properties of the album entity related to "song" or "track".

[Tool]
Top 10 property alternatives:
1. performer, also known as actor, sung by, singer, recording by, recorded by (wd:P175 as p/wdt): actor, musician, band or other performer associated with this role or musical work, contributor to the creative work or subject
2. form of creative work, also known as work type, work form, type of work, artform, type of reference work (wd:P7937 as p/wdt): structure of a creative work
3. number of parts of this work, also known as number of movements, number of parts of this work of art, number of pictures, number of scenes, number of segments of anthology film (wd:P2635 as p/wdt): the number of parts that a work comprises
4. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
5. YouTube playlist ID, also known as playlist YouTube, YouTube Music Playlist ID, YT playlist (wd:P4300 as p/wdt): identifier for a playlist (official) on YouTube containing videos for this item
6. MusicBrainz release group ID, also known as album MBID, single MBID, single ID (MusicBrainz), release group MBID, release group ID (MusicBrainz) (wd:P436 as wdt/p/wdtn): identifier for a release group per the MusicBrainz open music encyclopedia (album, single, etc.)
7. title, also known as name, titled, page name, original title, known as (wd:P1476 as p/wdt): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
8. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as p/wdt): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
9. place of publication, also known as published in (place), where published, release region, released in, published from (wd:P291 as p/wdt): geographical place of publication of the edition (use 1st edition when referring to works), significant place
10. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as p/wdt): date or point in time when a work was first published or released, point in time

No other items found

[Assistant]
There are no properties directly linking the album "Fijación Oral, Vol. 1" to its songs in Wikidata, and no songs are linked to the album via "published in" or "tracklist". This means the track listing for this album is not currently modeled in Wikidata.

Therefore, I cannot provide a SPARQL query that returns the songs that make up the album "Fijación Oral vol. 1" from Wikidata at this time.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The system correctly identified that Wikidata does not contain the track listing for the album 'Fijación Oral vol. 1' (wd:Q828282) using the appropriate property (wdt:P658). The SPARQL query is correct, and the explanation accurately reflects the limitations of the current knowledge graph. No further refinement is possible given the data available.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?composer ?nativeName WHERE {
  wd:Q81534 wdt:P86 ?composer .
  OPTIONAL {
    ?composer wdt:P1559 ?nativeName
  }
}

The native name of the composer of the Japanese national anthem (Kimigayo) is 林廣守 (Hiromori Hayashi).

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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

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

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

[User] What is native name of the composer of the Japanese national anthem?

[Assistant]
Let's break down the question:

1. We need to identify the Japanese national anthem.
2. Find its composer.
3. Retrieve the native name of that composer.

Step 1: Search for the Japanese national anthem in Wikidata.

[Tool]
Top 10 entity alternatives:
1. national anthem, also known as national hymn, state anthem (wd:Q23691): song that represents a country or sovereign state
2. National Anthem of Chile, also known as Canción Nacional, National Anthem (wd:Q484161): National Anthem of Chile
3. National Anthem (wd:Q2697331): Lana Del Rey song
4. National Anthem (wd:Q116945688): 2023 film directed by Luke Gilford
5. The National Anthem, also known as National Anthem (wd:Q19573235): 1999 film by Wu Ziniu
6. National Anthem (wd:Q16955069): album by The Away Team
7. National Anthem (wd:Q39078564): 2003 film
8. America, also known as National Anthem, National Hymn (wd:Q109781686): melody often used for national anthems; first published in 1744
9. National Anthem (wd:Q110059383): sketch from Saturday Night Live
10. anthem, also known as club anthem, march, national anthem, official hymn, official song (wd:P85): subject's official anthem

[Assistant]
None of the top search results directly reference the Japanese national anthem. The Japanese national anthem is called "Kimigayo."

Next, I will search for "Kimigayo" in Wikidata to find the correct entity.

[Tool]
Top 10 entity alternatives:
1. Kimigayo, also known as national anthem of Japan (wd:Q81534): national anthem of Japan
2. Kimigayo (wd:Q130240831): edition in ''The National Anthems of the Allies'' (1917)
3. Kimigayo March, also known as Kimigayo Kōshinkyoku (wd:Q24887361)
4. Kimigayo boy (wd:Q10926866)
5. National Anthem,  Kimigayo, also known as Kokka Kimigayo (wd:Q106398988): short film by Noburo Ofuji
6. Music and Politics: Japanese Composer Mayuzumi Toshiro and Kimigayo (wd:Q127824960): scholarly article

[Assistant]
The correct entity for the Japanese national anthem is "Kimigayo" (wd:Q81534).

Next, I need to find the composer of "Kimigayo." I will look for properties of wd:Q81534 related to composer.

[Tool]
Top 10 property alternatives:
1. composer, also known as music by, written by, songwriter, musical score by, film score by (wd:P86 as p/wdt): person(s) who wrote the music [for lyricist, use "lyrics by" (P676)], creator
2. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
3. lyricist, also known as text poet, writer (of song lyrics), words by, text writer, text by (wd:P676 as p/wdt): author of song lyrics, author
4. MusicBrainz work ID, also known as composition ID (MusicBrainz), MBID work, MBW, MB work ID, MusicBrainz composition ID (wd:P435 as wdt/p/wdtn): identifier for a work per the MusicBrainz open music encyclopedia
5. tonality, also known as in key, key, key of musical composition, key used, musical key (wd:P826 as p/wdt): key of a musical composition
6. sheet music, also known as musical score (wd:P3030 as p/wdt): media file containing the musical score (sheet music) for this item
7. derivative work, also known as is source work of, is adapted as, is the basis for, iteration, reboot (wd:P4969 as p/wdt): new work of art (film, book, software, etc.) derived from major part of this work
8. audio, also known as audio file, audio recording, audio sample, recording, song (wd:P51 as p/wdt): relevant sound. If available, use a more specific property. Samples: "spoken text audio" (P989), "pronunciation audio" (P443)
9. depicts, also known as portrays, presents, preserves, quotes, represents (wd:P180 as p/wdt): entity visually depicted in an image, literarily described in a ...o an audiovisual or other medium; see also P921,  'main subject', has part(s)
10. copyright status, also known as copyrighted, copyright restriction (wd:P6216 as p/wdt): copyright status for intellectual creations like works of art, publications, software, etc.

No other items found

[Tool]
Got 1 row and 3 columns:
| subject              | property           | object                         |
| -------------------- | ------------------ | ------------------------------ |
| Kimigayo (wd:Q81534) | composer (wdt:P86) | Hiromori Hayashi (wd:Q3783782) |

[Tool]
Got 177 rows and 3 columns, showing the first 10 rows below:
| subject                        | property                         | object                                                                      |
| ------------------------------ | -------------------------------- | --------------------------------------------------------------------------- |
| Hiromori Hayashi (wd:Q3783782) | instance of (wdt:P31)            | human (wd:Q5)                                                               |
| Hiromori Hayashi (wd:Q3783782) | occupation (wdt:P106)            | composer (wd:Q36834)                                                        |
| Hiromori Hayashi (wd:Q3783782) | sex or gender (wdt:P21)          | male (wd:Q6581097)                                                          |
| Hiromori Hayashi (wd:Q3783782) | date of birth (wdt:P569)         | 1831-12-28T00:00:00Z (xsd:dateTime)                                         |
| Hiromori Hayashi (wd:Q3783782) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Hayashi%20Hiromori.jpg> |
| Hiromori Hayashi (wd:Q3783782) | country of citizenship (wdt:P27) | Japan (wd:Q17)                                                              |
| Hiromori Hayashi (wd:Q3783782) | family name (wdt:P734)           | Hayashi (wd:Q279372)                                                        |
| Hiromori Hayashi (wd:Q3783782) | place of birth (wdt:P19)         | Reinin-cho (wd:Q73436066)                                                   |
| Hiromori Hayashi (wd:Q3783782) | date of death (wdt:P570)         | 1896-04-05T00:00:00Z (xsd:dateTime)                                         |
| Hiromori Hayashi (wd:Q3783782) | genre (wdt:P136)                 | gagaku (wd:Q718540)                                                         |
| ...                            | ...                              | ...                                                                         |

[Tool]
Top 10 property alternatives:
1. name in native language, also known as native name (wd:P1559 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): name of a person in their native language, name
2. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): label for the items in their official language  or their original language, name
3. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
4. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
5. endemic to, also known as endemic in, native in, native to (wd:P183 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): sole location or habitat type where the taxon lives
6. Native Land language ID, also known as Native-Land.ca language ID (wd:P9717 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): identifier for language entry on the Native Land interactive map
7. taxon common name, also known as common name, taxon vernacular name, TCN, vernacular name (wd:P1843 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): common or vernacular name of a biological taxon, name
8. ancestral home, also known as native village, native place, ancestral village, ancestral homeplace, ancestral place (wd:P66 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): place of origin for ancestors of subject, significant place
9. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): language or languages a person has learned from early childhood, languages spoken, written or signed
10. indigenous to, also known as native to, originating from, spoken by (wd:P2341 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): place or ethnic group where a language, art genre, cultural trad...biological species or variety is found (or was originally found)

[Tool]
Got 1 row and 3 columns:
| subject                        | property                            | object   |
| ------------------------------ | ----------------------------------- | -------- |
| Hiromori Hayashi (wd:Q3783782) | name in native language (wdt:P1559) | 林廣守 (ja) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies the composer of the Japanese national anthem (Kimigayo) and retrieves their native name using the appropriate properties. The query returns the actual IRI of the composer and the native name as requested. The answer is accurate and complete.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?species ?lifespan WHERE {
  VALUES ?species {
    wd:Q174199 wd:Q36341
  }
  OPTIONAL {
    ?species wdt:P4214 ?lifespan
  }
}

The common bottlenose dolphin (maximum observed lifespan: 51.6 years) has a higher observed lifespan than the brown bear (maximum observed lifespan: 40 years).

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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

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

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

[User] Who has a higher observed lifespan out of the common bottlenose dolphin and the brown bear?

[Assistant]
Let's break down the question:

1. We need to identify the entities for "common bottlenose dolphin" and "brown bear" in Wikidata.
2. We need to find the property for "observed lifespan" (likely "maximum observed age" or similar).
3. We need to retrieve the observed lifespan values for both species.
4. We need to compare the two and determine which is higher.

Let's start by searching for the entities for "common bottlenose dolphin" and "brown bear".

[Tool]
Top 10 entity alternatives:
1. common bottlenose dolphin, also known as Atlantic bottlenose dolphin, Bottle-Nosed Dolphin, bottlenose dolphin, Bottlenose dolphin, Tursiops truncatus (wd:Q174199): best-known species of the dolphin family
2. bottlenose dolphin, also known as Tursiops (wd:Q149069): genus of dolphin
3. Common Dolphin (wd:Q84262742): ship built in 2012
4. Fetal omphalocele in a common bo...se dolphin (Tursiops truncatus). (wd:Q46363505): scientific article
5. Short-beaked Common Dolphin, also known as Delphinus delphis (wd:Q207114): species of mammal
6. mahi-mahi, also known as dorado, mahi mahi, Coryphaena hippurus, common dolphinfish (wd:Q14443): species of fish
7. Delphinus, also known as Common dolphin genus (wd:Q312257): genus of mammals
8. Indo-Pacific bottlenose dolphin, also known as Tursiops aduncus, Indian Ocean bottlenose dolphin (wd:Q370597): species of mammal
9. Delphinus capensis, also known as Long-beaked common dolphin (wd:Q604326): species of mammal
10. Tursiops erebennus, also known as Tamanend's bottlenose dolphin (wd:Q121222034): species of dolphin

[Tool]
Top 10 entity alternatives:
1. Ursus arctos, also known as brown bear, grizzly bear (wd:Q36341): species of mammal
2. Ursus arctos, also known as brown bear, grizzly bear (wd:Q36341): species of mammal
3. Brown Bear, also known as Brown Bear Public House, Brown Bear, Whitechapel, The Brown Bear, Whitechapel (wd:Q26318258): pub in Whitechapel, London
4. Brown bear (wd:Q57080481): sculpture by François Pompon on display at Musée de Grenoble
5. Brown Bear, also known as Beube (wd:Q124961726): South Korean online streamer
6. Brown Bear, also known as The Brown Bear (wd:Q79684102): pub in Berwick-Upon-Tweed, Northumberland, UK
7. The Brown Bear Public House, also known as Brown Bear, The Brown Bear, Ware (wd:Q17554255): pub in Braughing, Ware, UK
8. brown bear, also known as grizzly bear (wd:Q113488817): fictional monster from Dungeons & Dragons
9. Brown bear (wd:Q117481410): sculpture by Georg Wrba in Tierpark Berlin, Germany
10. Brown Bear, also known as Brown Bear, Devonport, Plymouth (wd:Q80476278): pub in Plymouth, Devon, UK

[Tool]
Top 10 property alternatives:
1. life expectancy, also known as life span, lifespan (wd:P2250 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): average life expectancy for this group or species, duration
2. longest observed lifespan, also known as maximum age, oldest recorded individual, oldest observed, maximum life span, highest observed lifespan (wd:P4214 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): age of the oldest specimen of a taxon for which the age can be verified
3. mean lifetime (wd:P2645 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): inverse of exponential decay rate; half-life is ln(2) times this value, duration
4. practiced by, also known as proponent, studied by, practitioners, practioner, occupation of this field (wd:P3095 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): type of agents that study this subject or work in this field
5. state of transmission, also known as state of preservation, survival status (wd:P12020 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): state in which a work is transmitted or its existence; for the state of its material witnesses, use P5816
6. service life (wd:P5069 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): product's total life in use from the point of sale to the point of discard
7. discontinued date, also known as EOL date, product discontinued, EOL, end-of-life date, end-of-life (wd:P2669 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): date that the availability of a product or service was discontin...d "service retirement" (P730) for pieces or classes of equipment, end time
8. medical examination, also known as prognostic method, diagnostic method, possible examinations, medical examinations, examinations (wd:P923 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): examinations that might be used to diagnose and/or prognose the medical condition, test method
9. observed in (wd:P6531 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): to be used as reference to location, condition, variant where upon the subject property object statement is based
10. mean age, also known as average age (wd:P4442 as pqn/pqv/p/pq/ps/wdt/psn/prn/psv/prv/wdtn/pr): mean age in a given place

[Tool]
Got 2 rows and 3 columns:
| species                                | speciesLabel                   | lifespan           |
| -------------------------------------- | ------------------------------ | ------------------ |
| common bottlenose dolphin (wd:Q174199) | common bottlenose dolphin (en) | 51.6 (xsd:decimal) |
| Ursus arctos (wd:Q36341)               | Ursus arctos (en)              | 40 (xsd:decimal)   |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the maximum observed lifespan (wdt:P4214) for both the common bottlenose dolphin (wd:Q174199) and the brown bear (wd:Q36341). The answer accurately compares the two values and provides a clear, correct conclusion. The query returns the IRIs of the species as required. No further refinement is needed.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?date WHERE {
  wd:Q27706 wdt:P1619 ?date
}

Hamburg Airport was inaugurated on January 1, 1912.

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

You have access to the following knowledge graphs:
wikidata at http://amur:7001

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

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

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

[User] When was the Hamburg Airport inaugurated?

[Assistant]
Let's break down the question:

1. The entity is "Hamburg Airport".
2. The property we are looking for is the "inception" or "inauguration date".

First, I will search for the entity "Hamburg Airport" in Wikidata to get its identifier.

[Tool]
Top 10 entity alternatives:
1. Hamburg Airport, also known as Hamburg-Fuhlsbüttel Airport, Hamburg Airport “Helmut Schmidt”, EDDH, HAM (wd:Q27706): airport in Fuhlsbüttel, Hamburg, Germany
2. Hamburg Finkenwerder Airport, also known as Airbus Hamburg-Finkenwerder, EDHI, Finkenwerder Airport, XFW (wd:Q663819): aircraft manufacturing plant and associated private airport in the Finkenwerder quarter of southwest Hamburg, Germany
3. Hamburg Airport station (wd:Q5644290): railway station in Germany
4. Hamburg Airport Classics (wd:Q1572874)
5. Hamburg Inc Airport, also known as 4G2, Hamburg Inc Aerodrome (wd:Q34959585)
6. Hamburg : Airport, also known as A9 n35_Sm2 (wd:Q104725193): folder of the 20th Century Press Archives
7. Hamburg Airport S-Bahn line (wd:Q1430696): railway line in Germany
8. Novo Hamburgo Airport, also known as SSNH (wd:Q12694211): Brazilian airport
9. Hamburg : Airport, individual, also known as A9 n35_Sm2.II (wd:Q104725196): folder of the 20th Century Press Archives
10. Hamburg : Airport, general, also known as A9 n35_Sm2.I (wd:Q104725195): folder of the 20th Century Press Archives

[Assistant]
The most relevant entity for "Hamburg Airport" is wd:Q27706.

Next, I need to find the property related to "inauguration date" or "inception" for this entity. I will search for properties related to "inauguration" for this entity.

[Tool]
Top 10 property alternatives:
1. date of official opening, also known as launch date, launched, officially opened on, official opening, official opening time (wd:P1619 as p/wdt): date or point in time a place, organization, or event officially opened, start time, inception
2. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
3. official name, also known as long title, name, official title, registered name, full title (wd:P1448 as p/wdt): official name of the subject in its official language(s), name
4. patronage, also known as passengers, visitors, users, ridership, riders (wd:P3872 as p/wdt): number of passengers, patrons or visitors in specified time period
5. significant event, also known as significant occurrence, significant incident, significant achievment, sign. event, outcome (wd:P793 as p/wdt): significant or notable events associated with the subject
6. named after, also known as toponym, namesake, named in honor of, named for, etymology (wd:P138 as p/wdt): entity or event that inspired the subject's name, or namesake (i...fier "applies to name" (P5168) can be used to indicate which one
7. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
8. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as p/wdt): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
9. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as p/wdt): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object

No other items found

[Assistant]
There are two highly relevant properties:
- "date of official opening" (wdt:P1619)
- "inception" (wdt:P571)

Since "date of official opening" is more specific to the inauguration, I will use this property to query the inauguration date of Hamburg Airport (wd:Q27706).

I will now construct and execute a SPARQL query to retrieve this information.

[Tool]
Got 1 row and 1 column:
| date                                |
| ----------------------------------- |
| 1912-01-01T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the official opening date (inauguration date) of Hamburg Airport using the appropriate property (wdt:P1619) and the correct entity (wd:Q27706). The answer provided matches the result of the query. No further refinement is needed.