PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?cause ?time WHERE {
  wd:Q55811 wdt:P828 ?cause .
  wd:Q55811 wdt:P585 ?time .
}

The dinosaurs went extinct due to the Chicxulub impactor, which struck Earth approximately 66 million years ago.

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

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

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

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

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

[User] What happened to the dinosaurs ?

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

[Tool]
Example 1:
Question:
In which ancient empire could you pay with cocoa beans?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P38 wd:Q208008 .
}

Using entities:
cocoa bean, also known as whole cacao, cacao bean, cocoa powder, cacao seed, cacaoboon (wd:Q208008): fatty seed of Theobroma cacao which is the basis of chocolate

Using properties:
currency, also known as base currency, used money (wd:P38 as wdt): currency used by item, uses

Example 2:
Question:
What is the official language of Suriname?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q730 wdt:P37 ?uri .
}

Using entities:
Suriname, also known as Dutch Guiana, Republic of Surinam, Republic of Suriname, sr, SUR (wd:Q730): country in South America

Using properties:
official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as wdt): language designated as official by this item, language used

Example 3:
Question:
Who was called Scarface?

SPARQL:
SELECT ?uri {
  ?uri wdt:P1449 ?nickname .
  FILTER REGEX( STR( ?nickname ) , "^Scarface$" )
}

Using properties:
nickname, also known as informal name, moniker, other name, othername, other_names (wd:P1449 as wdt): informal name (for a pseudonym use P742), name

[Assistant] None of these examples directly relate to the question about what happened to the dinosaurs. However, we can infer that we need to look for events or processes that led to the extinction of dinosaurs. Let's start by searching for the entity "dinosaurs" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. dinosaur, also known as dino, Dinosauria, dinosaurs (wd:Q430): clade of archosaurian reptiles (Archosauria)
2. Dinosaurs (wd:Q1211977): television program
3. Dinosaurs, also known as Dinosaurs: The Most Complete, Up... for Dinosaur Lovers of All Ages (wd:Q5186590): book by Thomas R. Holtz, Jr.
4. Dinosaurs (wd:Q18351859): 1987 novelette by Walter Jon Williams
5. Dinosaurs (wd:Q28419612): anthology of science fiction short works
6. Dinosaurs! (wd:Q28401115): 1990 anthology
7. Dinosaurs (wd:Q97359951): 2018 song by Australian musician Ruby Fields
8. Dinosaurs (wd:Q120970468): 2023 Indian Tamil-language action film by M. R. Madhavan
9. Dinosaurs (wd:Q58999596): scientific article published in Nature
10. Dinosaurs (wd:Q93927541): scholarly article authored by James Willis and published in British Journal of General Practice in 2007

[Assistant] The first result, "dinosaur" (wd:Q430), seems to be the most relevant entity for our query. Next, let's search for properties related to the extinction of dinosaurs.

[Tool]
Top 10 property alternatives:
1. temporal range end, also known as geologic time frame end, geologic time range end (wd:P524 as p): the end of a process such as a geological unit or extinction of a life form relative to the geologic time scale, end time
2. parent taxon, also known as higher taxon, taxon parent (wd:P171 as p/wdt): closest parent taxon of the taxon in question, subclass of
3. taxon name, also known as correct name (ICNafp), Latin name of a taxon (deprecated), scientific name of a taxon, taxonomic name, valid name (ICZN) (wd:P225 as p/wdt): correct scientific name of a taxon (according to the reference given)
4. taxon rank, also known as taxonomic rank, type of taxon, rank (wd:P105 as p/wdt): level in a taxonomic hierarchy, instance of
5. different from, also known as not to be confused with, to be distinguished from, similar to, see also, rejected match (wd:P1889 as p/wdt): item that is different from another item, with which it may be confused
6. this taxon is source of, also known as this taxon is the source of, this taxon is a source of, natural product, taxon is source of, secretes (wd:P1672 as p/wdt): links a taxon to natural products it produces. Note that it does...s may vary. Some products may be yielded by more than one taxon.
7. significant event, also known as significant occurrence, significant incident, significant achievment, sign. event, outcome (wd:P793 as p): significant or notable events associated with the subject
8. 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)
9. NCBI taxonomy ID, also known as ncbi, NCBI, taxid (wd:P685 as wdtn/p/wdt): identifier for a taxon in the Taxonomy Database by the National Center for Biotechnology Information
10. taxon common name, also known as common name, taxon vernacular name, TCN, vernacular name (wd:P1843 as p/wdt): common or vernacular name of a biological taxon, name

No other items found

[Assistant]
The property "temporal range end" (wd:P524) seems to be the most relevant for understanding when the dinosaurs went extinct. We can use this property to find the time period when dinosaurs became extinct. Additionally, we can look for significant events (wd:P793) related to dinosaurs to gather more context.

Let's start with a simple query to find the temporal range end for dinosaurs:

```sparql
SELECT ?endPeriod WHERE {
  wd:Q430 wdt:P524 ?endPeriod .
}
```

We will execute this query to see if it returns the expected result.

[Tool] Got no rows and 1 columns

[Assistant]
It appears that the property `wdt:P524` (temporal range end) does not provide a direct answer for the extinction of dinosaurs. Let's try another approach by looking for significant events (wd:P793) related to dinosaurs.

We can use the following query to find significant events associated with dinosaurs:

```sparql
SELECT ?event WHERE {
  wd:Q430 wdt:P793 ?event .
}
```

Let's execute this query to see if it provides any relevant information.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the property `wdt:P793` (significant event) also does not provide any direct information about the extinction of dinosaurs.

Given this, let's try a different approach by searching for the concept of "dinosaur extinction" directly. We can search for entities related to the extinction of dinosaurs and then explore their properties.

Let's search for the entity "dinosaur extinction" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Dinosaur Extinction (wd:Q56624614): scholarly article published 12 June 2004
2. Cretaceous-tertiary dinosaur extinction (wd:Q81015179): scientific article published on 01 December 1986
3. Cretaceous-tertiary dinosaur extinction (wd:Q94555082): scholarly article by Sheehan PM & Morse CL published 1 December 1986 in Science
4. Cretaceous-tertiary dinosaur extinction (wd:Q94555089): scholarly article by Bryant LJ et al published 1 December 1986 in Science
5. CRETACEOUS DINOSAUR EXTINCTION. (wd:Q46228505): scientific article published in September 1968
6. The Dinosaurs Extinction (wd:Q119041043): 2014 Mexican film
7. Dinosaur diversity and extinction (wd:Q94546125): scholarly article by Archibald JD published 1 April 1992 in Science
8. Dinosaur diversity and extinction (wd:Q80914444): scientific article published on 01 April 1992
9. Response: cretaceous-tertiary dinosaur extinction (wd:Q81015185): scientific article published on 01 December 1986
10. Young Dinosaurs Fighting Extinction (wd:Q82461765): scientific article published on 01 November 2010

[Assistant]
The most relevant entity for our query is "Cretaceous-tertiary dinosaur extinction" (wd:Q81015179). This entity represents the scientific article discussing the extinction of dinosaurs during the Cretaceous-Tertiary (K-T) boundary.

Next, let's explore the properties and related information for this entity to understand what happened to the dinosaurs. We can start by listing the triples associated with this entity.

```sparql
SELECT ?property ?value WHERE {
  wd:Q81015179 ?property ?value .
}
```

Let's execute this query to see the details.

[Tool]
Got 41 rows and 2 columns, showing the first 5 and last 5 rows below:
| property                       | value                                                  |
| ------------------------------ | ------------------------------------------------------ |
| schema:description             | article scientifique publié en 1986 (fr)               |
| schema:description             | artículo científico publicado en 1986 (es)             |
| schema:description             | artículu científicu espublizáu n'avientu de 1986 (ast) |
| schema:description             | scientific article published on 01 December 1986 (en)  |
| schema:description             | wetenschappelijk artikel (nl)                          |
| ...                            | ...                                                    |
| issue (p:P433)                 | s:Q81015179-A592B8E3-BCDD-48C3-A3B0-A10E738C2D1D       |
| volume (p:P478)                | s:Q81015179-930D8A7A-4F61-476E-A86A-6756FEE33A7E       |
| publication date (p:P577)      | s:Q81015179-11D242FF-D54A-4D54-840B-9FE76B8E4E9D       |
| PubMed publication ID (p:P698) | s:Q81015179-2F78355B-5997-44FF-9E67-6892CE286CE8       |
| main subject (p:P921)          | s:Q81015179-CD900665-C716-4A4F-B158-BE48BBC0CB11       |

[Assistant]
The results show various properties and values associated with the entity "Cretaceous-tertiary dinosaur extinction" (wd:Q81015179). However, these properties are mostly metadata about the scientific article itself, such as the publication date, issue, and volume.

To get more specific information about the event of dinosaur extinction, we need to look for properties that describe the causes or mechanisms of the extinction. Let's search for properties related to the cause of the extinction.

We can use the following query to find properties related to the cause of the extinction:

```sparql
SELECT ?cause WHERE {
  wd:Q81015179 wdt:P1542 ?cause .
}
```

Here, `wdt:P1542` (cause of) is a property that might provide the cause of the extinction event. Let's execute this query to see if it returns any relevant information.

[Tool] Got no rows and 1 columns

[Assistant]
It seems that the property `wdt:P1542` (cause of) does not provide any direct information about the cause of the Cretaceous-tertiary dinosaur extinction.

Let's try another approach by searching for properties related to the event of the Cretaceous-tertiary boundary and the extinction of dinosaurs. We can also look for properties that describe the impact or effects of the event.

Let's search for properties related to the Cretaceous-tertiary boundary and the extinction of dinosaurs:

```sparql
SELECT ?property ?value WHERE {
  wd:Q81015179 ?property ?value .
}
```

We will focus on properties that might give us more context about the event. Let's execute this query again to see if we can find more relevant information.

[Tool]
Got 41 rows and 2 columns, showing the first 5 and last 5 rows below:
| property                       | value                                                  |
| ------------------------------ | ------------------------------------------------------ |
| schema:description             | article scientifique publié en 1986 (fr)               |
| schema:description             | artículo científico publicado en 1986 (es)             |
| schema:description             | artículu científicu espublizáu n'avientu de 1986 (ast) |
| schema:description             | scientific article published on 01 December 1986 (en)  |
| schema:description             | wetenschappelijk artikel (nl)                          |
| ...                            | ...                                                    |
| issue (p:P433)                 | s:Q81015179-A592B8E3-BCDD-48C3-A3B0-A10E738C2D1D       |
| volume (p:P478)                | s:Q81015179-930D8A7A-4F61-476E-A86A-6756FEE33A7E       |
| publication date (p:P577)      | s:Q81015179-11D242FF-D54A-4D54-840B-9FE76B8E4E9D       |
| PubMed publication ID (p:P698) | s:Q81015179-2F78355B-5997-44FF-9E67-6892CE286CE8       |
| main subject (p:P921)          | s:Q81015179-CD900665-C716-4A4F-B158-BE48BBC0CB11       |

[Assistant]
The results still primarily contain metadata about the scientific article. To get more specific information about the event of the Cretaceous-tertiary dinosaur extinction, we need to look for entities that represent the event itself and explore their properties.

Let's search for the entity "Cretaceous-Paleogene extinction event" (which is another term for the K-T extinction event) and see if it provides more relevant information.

Let's search for the entity "Cretaceous-Paleogene extinction event" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Cretaceous-Paleogene mass extinction, also known as end-Cretaceous mass extinction, KTME, K-T mass extinction event, K-T mass extinction, K-T extinction event (wd:Q55811): extinction event ending the Mesozoic Era
2. Timeline of Cretaceous–Paleogene extinction event research (wd:Q28231431): research timeline
3. extinction event, also known as biotic crisis, ELE, extinction-level event, mass extinction (wd:Q55814): widespread and rapid decrease in the amount of life on earth
4. Extinction Event (wd:Q132797197): short story by Eliza Clark
5. Roveacrinids (Crinoidea, Echinod...aleogene (K-Pg) extinction event (wd:Q58082902): scholarly article
6. Permian-Triassic mass extinction, also known as Late Permian mass extinction events, Permian-Triassic extinction, Permian-Triassic extinction event, Permian-Triassic mass extinction event, P–T extinction (wd:Q141118): mass extinction event at the end of the Permian Period approximately 250 million years ago
7. Ordovician–Silurian extinction event, also known as Late Ordovician mass extinction, LOME, end-Ordovician mass extinction (wd:Q1065985): mass extinction event at the end of the Ordovician period and th...lurian period in the Paleozoic era, around 444 million years ago
8. Triassic-Jurassic mass extinction, also known as Tr-J mass extinction event, Tr-J mass extinction, Tr-J extinction event, Tr-J extinction, Triassic-Jurassic mass extinction event (wd:Q835034): mass extinction at the end of the Triassic
9. Quaternary extinction event, also known as Late Quaternary Extinctions, LQE, Pleistocene-Holocene extinction, QME, Quaternary Megafauna Extinction (wd:Q1759232): mass extinction event, around 10000 BCE, marking the end of the ...ized to be caused by human hunting and/or natural climate change
10. Eocene–Oligocene extinction event, also known as Grande Coupure (wd:Q1542955): mass extinction

[Assistant]
The most relevant entity for our query is "Cretaceous-Paleogene mass extinction" (wd:Q55811), which represents the extinction event that ended the Mesozoic Era and is commonly known as the K-T extinction event.

Let's explore the properties and related information for this entity to understand what happened to the dinosaurs. We can start by listing the triples associated with this entity.

```sparql
SELECT ?property ?value WHERE {
  wd:Q55811 ?property ?value .
}
```

Let's execute this query to see the details.

[Tool]
Got 315 rows and 2 columns, showing the first 5 and last 5 rows below:
| property               | value                                                                    |
| ---------------------- | ------------------------------------------------------------------------ |
| schema:description     | artikel daftar Wikimedia (id)                                            |
| schema:description     | Duela 65,5 milioi urte gertatu z...zieen eskala handiko suntsipena. (eu) |
| schema:description     | effaith ardrawiad asteroid yn er...n ac anifeiliaid ledled y Ddaear (cy) |
| schema:description     | esdeveniment d'extinció massiva d'espècies fa uns 65 milions d'anys (ca) |
| schema:description     | estinzione della maggior parte d...e viventi, avvenuta nel Cretaceo (it) |
| ...                    | ...                                                                      |
| point in time (p:P585) | s:Q55811-68d79130-4305-6363-a401-b980c59c7c08                            |
| Freebase ID (p:P646)   | s:Q55811-5EA65914-1B65-4E50-9701-22B1CF33EEEB                            |
| J9U ID (p:P8189)       | s:Q55811-BC429F47-5BD2-4D3F-89A7-F5CD471C202E                            |
| has cause (p:P828)     | s:Q55811-7c83b922-47a1-c080-0a0d-ff097c242be4                            |
| Namuwiki ID (p:P8885)  | s:Q55811-0d6fff83-4512-257c-d093-b8612ed2a316                            |

[Assistant]
The results provide a wealth of information about the Cretaceous-Paleogene mass extinction event (wd:Q55811). One of the most relevant properties is `has cause` (wdt:P828), which can help us understand the reasons behind the extinction.

Let's extract the cause of the Cretaceous-Paleogene mass extinction event using the following query:

```sparql
SELECT ?cause WHERE {
  wd:Q55811 wdt:P828 ?cause .
}
```

This query will help us identify the primary cause of the extinction event. Let's execute this query to see the results.

[Tool]
Got 1 row and 1 column:
| cause                            |
| -------------------------------- |
| Chicxulub impactor (wd:Q5096573) |

[Assistant]
The cause of the Cretaceous-Paleogene mass extinction event is the Chicxulub impactor (wd:Q5096573). This indicates that the extinction of the dinosaurs was primarily due to a massive asteroid impact.

To provide a complete answer, we can also include the time of the event. Let's add a query to get the point in time of the Cretaceous-Paleogene mass extinction event:

```sparql
SELECT ?cause ?time WHERE {
  wd:Q55811 wdt:P828 ?cause .
  wd:Q55811 wdt:P585 ?time .
}
```

This query will give us both the cause and the time of the extinction event. Let's execute this query to get the final information.

[Tool]
Got 1 row and 2 columns:
| cause                            | time                                    |
| -------------------------------- | --------------------------------------- |
| Chicxulub impactor (wd:Q5096573) | -66000000-01-01T00:00:00 (xsd:dateTime) |

[Assistant]
The Cretaceous-Paleogene mass extinction event, which led to the extinction of the dinosaurs, was primarily caused by the Chicxulub impactor (wd:Q5096573). This event occurred approximately 66 million years ago.

Here is the final SPARQL query and the answer to the user's question:

```sparql
SELECT ?cause ?time WHERE {
  wd:Q55811 wdt:P828 ?cause .
  wd:Q55811 wdt:P585 ?time .
}
```

The answer to the question "What happened to the dinosaurs?" is that they went extinct due to the Chicxulub impactor, which struck Earth approximately 66 million years ago.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?band ?formationDate WHERE {
  VALUES ?band {
    wd:Q15862 wd:Q2306
  }
  ?band wdt:P571 ?formationDate
}
ORDER BY ASC ( ?formationDate )
LIMIT 1

Pink Floyd

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

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

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

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

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

[User] which band is created earlier, queen or pink floyd?

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

[Tool]
Example 1:
Question:
How many employees does Google have?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q95 wdt:P1128 ?uri .
}

Using entities:
Google, also known as Big G, google.com, Google Inc., Google LLC, Google, Inc. (wd:Q95): American multinational technology company, a subsidiary of Alphabet Inc.

Using properties:
employees, also known as workers, staff, personnel, number of employees, employee count (wd:P1128 as wdt): total number of employees of a company at a given "point in time...not deprecated rank). Add data for recent years, don't overwrite

Example 2:
Question:
Which U.S. state has been admitted latest?

SPARQL:
SELECT ?uri WHERE {
  ?uri wdt:P31 wd:Q35657 .
  ?uri wdt:P571 ?date
}
ORDER BY DESC ( ?date )
LIMIT 1

Using entities:
U.S. state, also known as U.S. states, US state, USA state, U.S.A. state, United States states (wd:Q35657): constituent political entity of the United States of America

Using properties:
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt): time when an entity begins to exist; for date of official opening use P1619, start time

Example 3:
Question:
Give me a list of all trumpet players that were bandleaders.

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P106 wd:Q158852 ; wdt:P1303 wd:Q8338 .
}

Using entities:
conductor, also known as musical conductor, music directors (wd:Q158852): person who directs a musical group during a performance
trumpet, also known as Bb trumpet, B-flat trumpet, B♭ trumpet, natural trumpet, slide trumpet (wd:Q8338): musical instrument

Using properties:
occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
instrument, also known as uses this instrument, teaches instrument, instruments, plays this instrument, plays instrument (wd:P1303 as wdt): musical instrument that a person plays or teaches or used in a music occupation, uses

[Assistant] Based on the examples, we need to identify the entities for Queen and Pink Floyd and the property for the formation date of a band. Let's start by searching for the entities.

[Tool]
Top 10 entity alternatives:
1. Phoolan Devi, also known as Bandit Queen (wd:Q465026): Indian bandit, politician (1963-2001), politician, brigand
2. Bandit Queen (wd:Q2762808): 1994 film by Shekhar Kapur
3. The Bandit Queen, also known as Bandit Queen (wd:Q7715524): 1950 film by William A. Berke
4. Bandit Queen (wd:Q4854625): British indie rock band
5. AB Queen (Band), also known as AB Queen, Jony boom, April yeo (wd:Q13026020)
6. Bandit, also known as Bandit Janthawan, Bandit (drag queen) (wd:Q124021547): costume designer, personal stylist, Thai drag queen, drag queen
7. Queen's Bands (wd:Q112135852): marching band of Queen's University in Kingston, Ontario
8. Queen Alexandra Bandstand (wd:Q56194872): heritage-listed bandstand in Ballarat, Victoria, Australia
9. Bandit Queen E.P. (wd:Q4854627): 1996 extended play by Muslimgauze
10. Għaqda Karmelitana, Banda ‘Queen Victoria’, also known as Banda ‘Queen Victoria’ (wd:Q126924438): Band in Żurrieq, Malta

[Assistant] It seems like the search for "Queen band" did not return the correct entity. Let's try searching for "Queen (band)" specifically.

[Tool]
Top 10 entity alternatives:
1. Phoolan Devi, also known as Bandit Queen (wd:Q465026): Indian bandit, politician (1963-2001), politician, brigand
2. Bandit Queen (wd:Q2762808): 1994 film by Shekhar Kapur
3. The Bandit Queen, also known as Bandit Queen (wd:Q7715524): 1950 film by William A. Berke
4. Bandit Queen (wd:Q4854625): British indie rock band
5. AB Queen (Band), also known as AB Queen, Jony boom, April yeo (wd:Q13026020)
6. Bandit, also known as Bandit Janthawan, Bandit (drag queen) (wd:Q124021547): costume designer, personal stylist, Thai drag queen, drag queen
7. Queen's Bands (wd:Q112135852): marching band of Queen's University in Kingston, Ontario
8. Queen Alexandra Bandstand (wd:Q56194872): heritage-listed bandstand in Ballarat, Victoria, Australia
9. Bandit Queen E.P. (wd:Q4854627): 1996 extended play by Muslimgauze
10. Għaqda Karmelitana, Banda ‘Queen Victoria’, also known as Banda ‘Queen Victoria’ (wd:Q126924438): Band in Żurrieq, Malta

[Assistant]
It appears that the search for "Queen (band)" did not return the correct entity either. Let's try another search with a different query to ensure we get the right entity for Queen.

Let's try searching for "Queen rock band" instead.

[Tool]
Top 10 entity alternatives:
1. rock band, also known as rock music band, rock group, rock music group (wd:Q5741069): musical group playing rock music
2. Rock Band (wd:Q1195153): 2007 video game
3. Rock Band (wd:Q2323659): series of music video games
4. Rock Band (wd:Q7354280): 2009 video game
5. Band Rock (wd:Q49010609): mountain in Pennsylvania, United States of America
6. The Rock Queen, also known as Rock Queen (wd:Q56034514): documentary film
7. Rock Band, also known as xkcd 359 (wd:Q18613846): 359th strip of the webcomic xkcd
8. Rock Band (wd:Q131115226): scientific article published on 25 September 2009
9. Genesis, also known as Genesis Rock Band (wd:Q151012): English rock band
10. Phoolan Devi, also known as Bandit Queen (wd:Q465026): Indian bandit, politician (1963-2001), politician, brigand

[Assistant]
It looks like the search for "Queen rock band" did not return the correct entity either. Let's try a more specific search for "Queen (British rock band)" to ensure we get the right entity.

Let's search for "Queen (British rock band)".

[Tool]
Top 10 entity alternatives:
1. rock band, also known as rock music band, rock group, rock music group (wd:Q5741069): musical group playing rock music
2. Rock Band (wd:Q1195153): 2007 video game
3. Rock Band (wd:Q2323659): series of music video games
4. British rock, also known as British rock music, Brit rock (wd:Q2566660): rock music made in or associated with the United Kingdom
5. British Queen, also known as British Queen potato (wd:Q4970651): variety of potato
6. Rock Band (wd:Q7354280): 2009 video game
7. British Queen (wd:Q131699912): pub in Bedworth, Warwickshire, England
8. British Band (wd:Q4969552): multinational Native American militia
9. Band Rock (wd:Q49010609): mountain in Pennsylvania, United States of America
10. British Queen (wd:Q115711281): shipwreck, 778 m from Beaumaris

[Assistant]
It seems that even the search for "Queen (British rock band)" did not return the correct entity. Let's try a more direct approach by searching for "Queen band" and then filtering the results to find the correct entity.

Let's search for "Queen band" again and manually filter the results to find the correct entity for Queen.

[Tool]
Top 10 entity alternatives:
1. Phoolan Devi, also known as Bandit Queen (wd:Q465026): Indian bandit, politician (1963-2001), politician, brigand
2. Bandit Queen (wd:Q2762808): 1994 film by Shekhar Kapur
3. The Bandit Queen, also known as Bandit Queen (wd:Q7715524): 1950 film by William A. Berke
4. Bandit Queen (wd:Q4854625): British indie rock band
5. AB Queen (Band), also known as AB Queen, Jony boom, April yeo (wd:Q13026020)
6. Bandit, also known as Bandit Janthawan, Bandit (drag queen) (wd:Q124021547): costume designer, personal stylist, Thai drag queen, drag queen
7. Queen's Bands (wd:Q112135852): marching band of Queen's University in Kingston, Ontario
8. Queen Alexandra Bandstand (wd:Q56194872): heritage-listed bandstand in Ballarat, Victoria, Australia
9. Bandit Queen E.P. (wd:Q4854627): 1996 extended play by Muslimgauze
10. Għaqda Karmelitana, Banda ‘Queen Victoria’, also known as Banda ‘Queen Victoria’ (wd:Q126924438): Band in Żurrieq, Malta

[Assistant]
It seems that the search for "Queen band" is still not returning the correct entity. Let's try a different approach by searching for "Queen" and then filtering the results to find the correct entity for the rock band Queen.

Let's search for "Queen" and manually filter the results to find the correct entity for Queen.

[Tool]
Top 10 entity alternatives:
1. Queen (wd:Q15862): British musical group; rock band
2. queen, also known as ♕, ♛, lady, Q (wd:Q139): chess piece, able to move any number of squares vertically, horizontally or diagonally
3. Queen (wd:Q193490): 1973 debut studio album by Queen
4. queen (wd:Q16511993): class of female monarch
5. The Queen, also known as Queen (wd:Q223367): 2006 film directed by Stephen Frears
6. Khatun, also known as queen consort, queen, khatan, khaness, kadin (wd:Q2272188): Title of nobility in Mongolia, Turkey, and related cultures for female khans, typically the wife of a khan, emperor, or king
7. Khatun, also known as queen consort, consort, hatun, queen, kadin (wd:Q2272188): Title of nobility in Mongolia, Turkey, and related cultures for female khans, typically the wife of a khan, emperor, or king
8. queen regnant, also known as female monarch, queen (wd:Q19643): female monarch who rules a country in her own right
9. queen (wd:Q505744): playing card
10. Queen (wd:Q15907466): 2014 film directed by Vikas Bahl

[Assistant]
The correct entity for the rock band Queen is `wd:Q15862`. Now, let's find the entity for Pink Floyd.

I'll search for "Pink Floyd" to get the correct entity for the band.

[Tool]
Top 10 entity alternatives:
1. Pink Floyd, also known as The Pink Floyd, The Pink Floyd Sound (wd:Q2306): English rock band
2. Pink Floyd, also known as Floyd Pinkerton (wd:Q3653015): character
3. Pink Floyd (wd:Q3388741): book by François Ducray
4. Rosa 'Pink Floyd', also known as Pink Floyd (wd:Q83670291): rose cultivar
5. Pink Floyd (wd:Q62068103): chapter, in The Rock and Roll Hall of Fame’s eleventh annual induction dinner programme
6. Why Pink Floyd...? (wd:Q3512037): marketing campaign
7. Pink Floyd pigs, also known as Algie (wd:Q2269820): Staple prop used by English progressive/psychedelic rock band Pink Floyd during live shows
8. WikiProject Pink Floyd (wd:Q13341445): Wikimedia subject-area collaboration
9. Brain Damage, also known as Tributo Pink Floyd (wd:Q2923592): French rock band
10. Pink Floyd Revisited (wd:Q2309415): live album by Mostly Autumn

[Assistant]
The correct entity for the rock band Pink Floyd is `wd:Q2306`.

Now that we have the entities for both bands, we need to find the property for the formation date of a band. Let's search for the property related to the formation date or inception of a band.

I'll search for the property "formation date" or "inception" to find the correct property.

[Tool]
Top 10 property alternatives:
1. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): time when an entity begins to exist; for date of official opening use P1619, start time
2. location of formation, also known as place of incorporation, originates from, place of establishment, place of formation, place of foundation (wd:P740 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): location where a group or organization was formed, location of creation
3. military branch, also known as unit branch, service branch, formation, branch (wd:P241 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): branch to which this military unit, award, office, or person belongs, e.g. Royal Navy, part of
4. date of incorporation, also known as date incorporated, incorporated, incorporated on date, incorporation date, year incorporated (wd:P10786 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): date when company, organization or city was incorporated
5. made from material, also known as material used, manufactured out of, manufactured from, made of material, made of (wd:P186 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): material the subject or the object is made of or derived from (do not confuse with P10672 which is used for processes), uses
6. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
7. introduced on, also known as bill introduced on, introduction date, introduced date (wd:P9448 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): date when a bill was introduced into a legislature, inception
8. start time, also known as start date, since, valid, join time, joined (wd:P580 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): time an entity begins to exist or a statement starts being valid, point in time
9. date depicted, also known as depicted date, temporal coverage, shown as at date, depicts date, depicted time (wd:P2913 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): date represented in a work (for narrative works use P2408)
10. announcement date, also known as released, date teased, made public on, public announcement date, published (wd:P6949 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): time of the first public presentation of a subject by the creator, of information by the media, point in time

[Assistant]
The correct property for the formation date or inception of a band is `wd:P571`.

Now that we have the entities for both bands and the property for their formation dates, we can construct a SPARQL query to compare the formation dates of Queen and Pink Floyd.

Let's write the SPARQL query to find out which band was formed earlier.

```sparql
SELECT ?band ?formationDate
WHERE {
  VALUES ?band { wd:Q15862 wd:Q2306 }
  ?band wdt:P571 ?formationDate
}
ORDER BY ASC(?formationDate)
LIMIT 1
```

This query will return the band with the earliest formation date. Let's execute it.

[Tool]
Got 1 row and 2 columns:
| band                  | formationDate                       |
| --------------------- | ----------------------------------- |
| Pink Floyd (wd:Q2306) | 1964-01-01T00:00:00Z (xsd:dateTime) |

[Assistant]
The SPARQL query results show that Pink Floyd was formed earlier than Queen. Pink Floyd was formed on January 1, 1964.

Therefore, the answer to the question "Which band is created earlier, Queen or Pink Floyd?" is:

**Pink Floyd**

Here is the final SPARQL query and answer:

```sparql
SELECT ?band ?formationDate
WHERE {
  VALUES ?band { wd:Q15862 wd:Q2306 }
  ?band wdt:P571 ?formationDate
}
ORDER BY ASC(?formationDate)
LIMIT 1
```

Answer: **Pink Floyd**

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?coordinate WHERE {
  wd:Q15174 wdt:P625 ?coordinate
}

The coordinate location of Shenzhen is POINT(114.054000 22.535000).

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

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

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

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

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

[User] What is the coordinate location of Shenzhen ?

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

[Tool]
Example 1:
Question:
Which poet wrote the most books?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  ?uri wdt:P106 wd:Q49757 .
  ?x wdt:P50 ?uri ; wdt:P31 wd:Q571 .
}
GROUP BY ?uri
ORDER BY DESC ( COUNT( ?x ) )
LIMIT 1

Using entities:
poet, also known as bard, poetry writer, poetry author, poetess (wd:Q49757): person who writes poetry
book, also known as books (wd:Q571): medium for recording information (words or images) typically on bound pages or more abstractly in electronic or audio form

Using properties:
occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
author, also known as writer, written by, poet, playwright, maker (wd:P50 as wdt): main creator(s) of a written work (use on works, not humans); us...hor name string) when Wikidata item is unknown or does not exist, creator

Example 2:
Question:
How many companies were founded by the founder of Facebook?

SPARQL:
SELECT ( COUNT( DISTINCT ?uri ) AS ?c ) WHERE {
  ?uri wdt:P112 wd:Q36215 .
  ?uri wdt:P31 / wdt:P279 * wd:Q783794 .
}

Using entities:
Mark Zuckerberg, also known as The Zuck, Zuck, Zuckerberg, Mark Elliott Zuckerberg, The Zucc (wd:Q36215): American Internet entrepreneur, chief executive officer, patron of the arts, computer scientist, philanthropist, entrepreneur, programmer
company, also known as co., firm (wd:Q783794): legal entity representing an association of people, whether natural, legal or a mixture of both, with a specific objective

Using properties:
founded by, also known as starter, co-founded by, started by, institutor, instituted by (wd:P112 as wdt): founder or co-founder of this organization, religion, place or entity, creator
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

Example 3:
Question:
What is the capital of Cameroon?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q1009 wdt:P36 ?uri
}

Using entities:
Cameroon, also known as CAM, CM, CMR, Republic of Cameroon (wd:Q1009): sovereign state in West-Central Africa

Using properties:
capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as wdt): seat of government of a country, province, state or other type of administrative territorial entity

[Assistant] Based on the examples, we need to identify the entity for Shenzhen and the property for coordinates. Let's first search for the entity Shenzhen.

[Tool]
Top 10 entity alternatives:
1. Shenzhen, also known as Sham Chun (wd:Q15174): Sub-provincial division in China
2. Shenzhen (wd:Q2278115): graphic novel by the Canadian Québécois author Guy Delisle
3. Zhao Shenzhen, also known as Zunlu, Zhulou, Yuchao, Shengkanyanshi, Wenke (wd:Q15929422): Qing dynasty politician, politician
4. Shenzhen (wd:Q132803992): journal article from 'Cities' published in 2003
5. Shenzhen (wd:Q58926455): scientific article published in Nature
6. Shenzhen (wd:L453047-F1)
7. Shenzhen (wd:L453047)
8. Shenzhen Bao'an International Airport, also known as Shenzhen-Bao'an, SZX, ZGSZ (wd:Q842297): international airport in Shenzhen, China
9. Shenzhen Metro (wd:Q867680): rapid transit network in Shenzhen, China
10. Shenzhen Airlines, also known as Shenzhen Air (wd:Q974899): airline headquartered in Bao'an, Shenzhen, Guangdong, China and based in Shenzhen Bao'an International Airport

[Assistant]
The correct entity for Shenzhen is the first one, `wd:Q15174`. Now let's find the property for coordinates. Coordinates are usually represented by the property `coordinate location` or something similar.

I will now search for the property related to coordinates.

[Tool]
Top 10 property alternatives:
1. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
2. this zoological name is coordinate with, also known as coordinate name (wd:P2743 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): links coordinate zoological names, different from
3. coordinates of depicted place, also known as depicted item geolocation, geolocation of object, object geolocation (wd:P9149 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): coordinates of the place depicted in the work (or Commons image)
4. location map (wd:P1943 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): blank geographic map image suitable for overlaying coordinate points, as defined at c:Category:Location maps, image
5. genomic start, also known as start coordinate, genomic from, Genloc From, from, Genloc Start (wd:P644 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): genomic starting coordinate of the biological sequence (e.g. a gene)
6. set in environment, also known as set in location, takes place in, setting location, playing in, narrative set in (wd:P8411 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): environment (geographic feature, building type, etc.) the narrative work is set in, significant place, depicts
7. narrative location, also known as set in location, set in, setting, setting location, setting of work (wd:P840 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): the narrative of the work is set in this location, significant place, depicts
8. location of discovery, also known as found in, location of discovered object, place of discovery, site of discovery, source (wd:P189 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): where the item was located when discovered, significant place
9. spatial reference system, also known as coordinate reference system, CRS, SRS (wd:P3037 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): frame of reference used to produce a map
10. coordinates of geographic center, also known as coordinates of geographic centre, geographic centre, geographic center, geographical midpoint, geographical centre (wd:P5140 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): coordinates of the center of an area. Use qualifier "determination method" (P459) to indicate how, coordinate location

[Assistant]
The correct property for coordinates is `coordinate location`, which corresponds to `wd:P625`.

Now, I will construct a simple SPARQL query to retrieve the coordinate location of Shenzhen (`wd:Q15174`).

```sparql
SELECT ?coordinate WHERE {
  wd:Q15174 wdt:P625 ?coordinate
}
```

Let's execute this query.

[Tool]
Got 1 row and 1 column:
| coordinate                                   |
| -------------------------------------------- |
| POINT(114.054000 22.535000) (geo:wktLiteral) |

[Assistant]
The coordinate location of Shenzhen is `POINT(114.054000 22.535000)`.

Here is the final SPARQL query and answer:

```sparql
SELECT ?coordinate WHERE {
  wd:Q15174 wdt:P625 ?coordinate
}
```

Answer: The coordinate location of Shenzhen is `POINT(114.054000 22.535000)`.

[Tool] Stopped generation process


Failed to generate SPARQL query

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

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

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

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

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

[User] How many spouses do head of states have on average?

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

[Tool]
Example 1:
Question:
How many films did Leonardo DiCaprio star in?

SPARQL:
SELECT ( COUNT( DISTINCT ?uri ) AS ?c ) WHERE {
  ?uri wdt:P31 wd:Q11424 ; wdt:P161 wd:Q38111 .
}

Using entities:
film, also known as cinematic work, moving picture, movie, motion pictures, motion picture (wd:Q11424): sequence of images that give the impression of movement, stored on film stock
Leonardo DiCaprio (wd:Q38111): American actor and film producer (born 1974), television actor, environmentalist, film producer, screenwriter, stage actor, film actor, actor

Using properties:
cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as wdt): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

Example 2:
Question:
Where is Fort Knox located?

SPARQL:
SELECT ?uri {
  wd:Q8962067 wdt:P131 + ?uri .
}

Using entities:
Fort Knox, also known as Fort Knox CDP, Fort Knox, Kentucky, Fort Knox, KY (wd:Q8962067): census-designated place in Kentucky, United States

Using properties:
located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of

Example 3:
Question:
Give me the homepage of Forbes.

SPARQL:
SELECT ?uri WHERE {
  wd:Q25161472 wdt:P856 ?uri
}

Using entities:
Forbes, also known as forbes.com, Forbes magazine (wd:Q25161472): American business magazine

Using properties:
official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as wdt): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL

[Assistant] Based on the examples, we need to identify the entities and properties relevant to our question. We need to find the head of states and their spouses. Let's start by searching for the entity "head of state".

[Tool]
Top 10 entity alternatives:
1. head of state (wd:Q48352): official who holds the highest-ranked executive position in a sovereign state
2. Head of State (wd:Q1592282): 2003 American comedy film by Chris Rock
3. Head of State (wd:Q65225964): 2016 Armenian film
4. Başkan, also known as chairman, head of state, mayor, president (wd:Q60982271): Elected administrative position
5. Head of state (wd:Q116754472): scientific article published on 7 May 2002
6. Head of State (wd:Q114498865): episode of The Wayans Bros. (S2 E8)
7. Head of State (wd:Q74408294): episode of the 2003–2009 Teenage Mutant Ninja Turtles animated television series
8. head of state (wd:L383741-S1)
9. head of state, also known as leader, state headed by, queen, president, monarch (wd:P35): official with the highest formal authority in a country/state
10. office held by head of state, also known as head of state, position held by head of state, state headed by (wd:P1906): political office that is fulfilled by the head of state of this item

[Assistant] The first result, "head of state" (wd:Q48352), seems to be the most relevant. Now let's look for the property that links a person to their spouse.

[Tool]
Top 10 property alternatives:
1. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
2. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person
3. unmarried partner, also known as romantic partner, partner of, partners, posslq, relationship (wd:P451 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples, significant person
4. married name, also known as full name (married) (wd:P2562 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): name or surname adopted by a person upon marriage, name
5. place of marriage, also known as marriage location, wedding location, wed at, married in, married at (wd:P2842 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): location where the marriage was celebrated. Use as qualifier for property "spouse" (P26), significant place
6. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): full name of a person at birth, if different from their current, generally used name, name
7. connects with, also known as contacts, couples with, intersects at grade, links to, mates with (wd:P2789 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): item with which the item is physically connected, physically interacts with
8. companion of, also known as has astronomical companion, has companion, companion, astronomic companion of, astronomic companion (wd:P399 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): two or more astronomic bodies of the same type relating to each other
9. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
10. relation (wd:P2309 as prv/wdtn/ps/pq/prn/pr/p/wdt/psn/pqv/pqn/psv): qualifier to define a property constraint in combination with P2...h the property "relative" is "type of kinship" (P1039), not this

[Assistant]
The first result, "spouse" (wd:P26), is the property we need. Now we can construct a basic SPARQL query to count the number of spouses for each head of state. We will then calculate the average number of spouses.

Let's start by listing the heads of state and their spouses.


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?followingAnimal WHERE {
  wd:Q599644 wdt:P156 ?followingAnimal .
}

Got 1 row and 1 column:
| followingAnimal    |
| ------------------ |
| Tiger (wd:Q740762) |

The Chinese zodiac animal that follows the ox is the tiger.

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

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

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

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

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

[User] What is the Chinese zodiac animal that follows the ox?

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

[Tool]
Example 1:
Question:
Where did Hillel Slovak die?

SPARQL:
SELECT DISTINCT ?uri WHERE {
  wd:Q186924 wdt:P20 ?uri .
}

Using entities:
Hillel Slovak (wd:Q186924): Israeli-American musician (1962–1988), songwriter, guitarist, musician

Using properties:
place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as wdt): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location

Example 2:
Question:
What is the largest city in america?

SPARQL:
SELECT ?res WHERE {
  ?res wdt:P17 wd:Q30 .
  ?res wdt:P31 / wdt:P279 * wd:Q515 .
  ?res wdt:P1082 ?population .
}
ORDER BY DESC ( ?population )
LIMIT 1

Using entities:
United States, also known as the U.S. of A, United States of America, the US of America, United States of North America, U. S. (wd:Q30): country primarily located in North America
city, also known as cities (wd:Q515): large human settlement

Using properties:
population, also known as inhabitants, human population (wd:P1082 as wdt): number of people inhabiting the place; number of people of subject
country, also known as sovereign state, state, land, host country (wd:P17 as wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

Example 3:
Question:
Give me all the TV shows with Neil Patrick Harris.

SPARQL:
SELECT ?uri WHERE {
  ?type wdt:P279 * wd:Q15416 .
  ?uri wdt:P161 wd:Q485310 .
  ?uri wdt:P31 ?type .
}

Using entities:
television program, also known as TV show, television broadcast, T.V. show, T. V. show, TV programme (wd:Q15416): segment of audiovisual content intended for broadcast on television
Neil Patrick Harris, also known as NPH (wd:Q485310): American actor (born 1973), television presenter, television producer, theatrical director, television actor, stage magician, autobiographer, film director, film producer, screenwriter, voice actor, stage actor, illusionist, film actor, dub actor, memoirist, musician, comedian, dancer, singer, actor

Using properties:
cast member, also known as feat., starring (film/play), film starring, starring, actor (wd:P161 as wdt): actor in the subject production [use "character role" (P453) and...use "recorded participant" (P11108) for non-fiction productions], significant person, performer
subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)

[Assistant] None of these examples directly relate to the Chinese zodiac, but we can see how entities and properties are used in the queries. Let's start by searching for the entity representing the Chinese zodiac.

[Tool]
Top 10 entity alternatives:
1. Chinese zodiac, also known as Celestial Branches, Earthly Branches (wd:Q1976204): lunar calendar classification, assigning a symbolic animal and i... year for a repeating cycle of twelve forming the Earthly Branch
2. Chinese Zodiac, also known as CZ12 (wd:Q391143): 2012 film directed by Jackie Chan
3. 12 Chinese Zodiac Signs (wd:Q108781655): 1995 animated series
4. Panel with Chinese Zodiac (wd:Q78712547): painting by anonymous painter
5. goat (Chinese zodiac animal) (wd:L1116276-S2)
6. horse (Chinese zodiac animal) (wd:L1116275-S2)
7. dragon (Chinese zodiac animal) (wd:L1116273-S2)
8. dog (Chinese zodiac animal) (wd:L293489-S2)
9. Dog (Chinese zodiac sign) (wd:L363339-S2)
10. rabbit (Chinese zodiac animal) (wd:L1116272-S2)

[Assistant] The first result, Chinese zodiac (wd:Q1976204), seems to be the most relevant. Now let's look for the property that links the animals to their order in the zodiac cycle.

[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. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as p/wdt): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
3. 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).
4. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
5. 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
6. different from, also known as not to be confused with, to be distinguished from, similar to, see also, rejected match (wd:P1889 as p/wdt): item that is different from another item, with which it may be confused
7. 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)

No other items found

[Assistant] It appears that there isn't a direct property linking the animals to their order in the zodiac cycle. However, we can try to find the animals themselves and then determine their order. Let's search for the animals associated with the Chinese zodiac.

[Tool]
Falling back to an unconstrained search on the full precomputed search indices:
Got more than the maximum supported number of object candidates (131,072)

Top 10 entity alternatives:
1. Chinese zodiac, also known as Celestial Branches, Earthly Branches (wd:Q1976204): lunar calendar classification, assigning a symbolic animal and i... year for a repeating cycle of twelve forming the Earthly Branch
2. Chinese Zodiac, also known as CZ12 (wd:Q391143): 2012 film directed by Jackie Chan
3. 12 Chinese Zodiac Signs (wd:Q108781655): 1995 animated series
4. Panel with Chinese Zodiac (wd:Q78712547): painting by anonymous painter
5. goat (Chinese zodiac animal) (wd:L1116276-S2)
6. horse (Chinese zodiac animal) (wd:L1116275-S2)
7. dragon (Chinese zodiac animal) (wd:L1116273-S2)
8. dog (Chinese zodiac animal) (wd:L293489-S2)
9. Dog (Chinese zodiac sign) (wd:L363339-S2)
10. rabbit (Chinese zodiac animal) (wd:L1116272-S2)

No other items found

No literal items found

[Assistant] The search returned several animals associated with the Chinese zodiac, but they are not directly linked to the Chinese zodiac entity (wd:Q1976204) through the `part of` property. We need to find a way to list the animals and their order. Let's try to list the triples where the Chinese zodiac is the subject to see if we can find any relevant information.

[Tool]
Got 298 rows and 3 columns, showing the first 10 rows below:
| subject                      | property                               | object                                                                                |
| ---------------------------- | -------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------- |
| Chinese zodiac (wd:Q1976204) | instance of (wdt:P31)                  | classification scheme (wd:Q5962346)                                                                                |
| Chinese zodiac (wd:Q1976204) | Commons category (wdt:P373)            | Chinese zodiac                                                                                |
| Chinese zodiac (wd:Q1976204) | image (wdt:P18)                        | <http://commons.wikimedia.org/wiki/Special:FilePath/Chinese%20Zodiac%20carvings%20on%20ceiling%20of%20Kushida%20Shrine%2C%20Fukuoka.jpg> |
| Chinese zodiac (wd:Q1976204) | part of (wdt:P361)                     | Chinese astrology (wd:Q724950)                                                                                |
| Chinese zodiac (wd:Q1976204) | has part(s) (wdt:P527)                 | Rat (wd:Q721997)                                                                                |
| Chinese zodiac (wd:Q1976204) | different from (wdt:P1889)             | Chinese Zodiac (wd:Q391143)                                                                                |
| Chinese zodiac (wd:Q1976204) | topic's main category (wdt:P910)       | wd:Q9791579                                                                                |
| Chinese zodiac (wd:Q1976204) | topic's main template (wdt:P1424)      | wd:Q6816397                                                                                |
| Chinese zodiac (wd:Q1976204) | Google Knowledge Graph ID (wdtn:P2671) | <http://g.co/kg/g/11dykmrfz>                                                                                |
| Chinese zodiac (wd:Q1976204) | Freebase ID (wdt:P646)                 | /m/05f8s1h                                                                                |
| ...                          | ...                                    | ...                                                                                |

[Assistant]
From the list of triples, we can see that the Chinese zodiac (wd:Q1976204) has parts, including the Rat (wd:Q721997). This suggests that the animals are listed as parts of the Chinese zodiac. We need to find the complete list of animals and their order. Let's construct a SPARQL query to list all the animals and their order in the Chinese zodiac.

We will use the `wdt:P527` property to find the parts of the Chinese zodiac and then try to determine their order.

```sparql
SELECT ?animal ?order WHERE {
  wd:Q1976204 wdt:P527 ?animal .
  OPTIONAL { ?animal wdt:P1545 ?order . }
}
```

This query will list the animals and their order if the order is available. Let's execute this query.

[Tool]
Got 12 rows and 2 columns, showing the first 5 and last 5 rows below:
| animal               | order |
| -------------------- | ----- |
| Ox (wd:Q599644)      |       |
| Rat (wd:Q721997)     |       |
| Dragon (wd:Q731434)  |       |
| Monkey (wd:Q740674)  |       |
| Tiger (wd:Q740762)   |       |
| ...                  | ...   |
| Rooster (wd:Q822621) |       |
| Rabbit (wd:Q844723)  |       |
| Goat (wd:Q867696)    |       |
| Horse (wd:Q869595)   |       |
| Pig (wd:Q877261)     |       |

[Assistant]
The query returned the animals of the Chinese zodiac, but it did not provide their order. We need to find a way to determine the order of the animals. Let's try to search for the property that might indicate the order of the animals in the zodiac cycle.

We can search for properties related to "order" or "sequence" for the animals themselves.

[Tool]
Top 10 property alternatives:
1. followed by, also known as continued as, then, successor, succeeded by, sequel is (wd:P156 as p/wdt): immediately following item in a series of which the subject is a...een replaced, e.g. political offices, use "replaced by" (P1366)]
2. 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)
3. follows, also known as prev, successor to, succeeds to, succeeds, split from (wd:P155 as p/wdt): immediately prior item in a series of which the subject is a par... preceding item, e.g. political offices, use "replaces" (P1365)]
4. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as p/wdt): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
5. 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)
6. 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)
7. opposite of, also known as is the opposite of, opposite to, opposite, is opposite of, inverse (wd:P461 as p/wdt): item that is in some way the opposite of this item
8. compatible with, also known as client for, supports (wd:P8956 as p/wdt): this work, product, object or standard can interact with another work, product, object or standard
9. 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)
10. NL CR AUT ID, also known as Czech National Authority Database, NLCR AUT ID (wd:P691 as p/wdt): identifier in the Czech National Authority Database of National Library of the Czech Republic (NL CR)

No other items found

[Assistant]
The property `followed by` (wd:P156) seems to be the most relevant for determining the order of the animals in the zodiac cycle. Let's use this property to find the animal that follows the ox.

We will construct a SPARQL query to find the animal that follows the ox (wd:Q599644) in the Chinese zodiac.

```sparql
SELECT ?followingAnimal WHERE {
  wd:Q599644 wdt:P156 ?followingAnimal .
}
```

[Tool]
Got 1 row and 1 column:
| followingAnimal    |
| ------------------ |
| Tiger (wd:Q740762) |

[Assistant]
The animal that follows the ox in the Chinese zodiac is the tiger (wd:Q740762).

Here is the final SPARQL query and answer:

```sparql
SELECT ?followingAnimal WHERE {
  wd:Q599644 wdt:P156 ?followingAnimal .
}
```

Answer: The Chinese zodiac animal that follows the ox is the tiger.

[Tool] Stopped generation process