PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?breed ?breedLabel ?cat ?catLabel WHERE {
  {
    ?breed wdt:P31 wd:Q43577 .
  } UNION {
    ?breed wdt:P279 * wd:Q43577 .
  }
  OPTIONAL {
    ?breed rdfs:label ?breedLabel FILTER ( LANG( ?breedLabel ) = "en" )
  }
  OPTIONAL {
    ?cat wdt:P31 wd:Q146 .
    {
      ?cat wdt:P4743 ?breed .
    } UNION {
      ?cat wdt:P31 ?breed .
    }
    OPTIONAL {
      ?cat rdfs:label ?catLabel FILTER ( LANG( ?catLabel ) = "en" )
    }
  }
}
ORDER BY ?breedLabel ?catLabel

Using entities:
house cat (wd:Q146), also known as cat, cats, domestic cat, Felis silvestris catus, housecat, etc.
cat breed (wd:Q43577), also known as breed of cat, pedigree cat, pedigreed cat

Using properties:
subclass of (wd:P279 as wdt), also known as all members of this class also belong to, category of, form of, has superclass, is a class of, etc.
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.
animal breed (wd:P4743 as wdt), also known as breed, cat breed, cattle breed, chicken breed, dog breed, etc.

Answer: I queried Wikidata for items that are cat breeds (instances or subclasses of Q43577) and for each breed optionally returned cats that are instances of domestic cat (Q146) and linked to the breed either via the animal breed property (P4743) or by being instance of the breed (P31). The query returned 157 rows. The SPARQL query above is the final query I executed; it returns IRIs and English labels (when available) for breeds and cats.

What are the cat breeds? For each cat breed, also return the cats that are instances of it if available.

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

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

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

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

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

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

[User] What are the cat breeds? For each cat breed, also return the cats that are instances of it if available.

[Assistant] I'll search Wikidata for the entity representing "cat breed" and related properties (instance of, subclass of, etc.). I'll explain each step and run queries to verify identifiers.

[Tool]
Top 10 entity alternatives:
1. cat breed (wd:Q43577), also known as breed of cat, pedigree cat, pedigreed cat: is subclass of breed / type of pet breed
2. cat registry (wd:Q5051107, matched via cat breed registry), also known as cat breed registry: organization that registers domestic, usually purebred, cats / is subclass of organisation / is subclass of organization
3. cat breeding (wd:Q3587680): is subclass of animal breeding / breeding of house cats
4. cattle breed (wd:Q12045585), also known as cow breed: selectively bred form of the domesticated cattle / is subclass of breed
5. mixed breed cat (wd:Q116193823): is subclass of domestic cat / is subclass of mixed breed / is instance of cat breed / is subclass of house cat / cat with mixed breeds / is subclass of cat
6. Catherine Breed (wd:Q130086352): has occupation swimmer / is instance of human / American swimmer
7. Heck cattle (wd:Q475329, matched via Munich-Berlin (cattle breed)), also known as Munich-Berlin (cattle breed): cattle breed, look-alike bred-back of the extinct aurochs / is instance of cattle breed
8. cattle husbandry (wd:Q2153464, matched via cattle breeding), also known as cattle breeding, cattle farming, cattle herding, cattle ranching, cattle rearing: covers the systems of production of articles of bovine, type of animal husbandry / is instance of branch of agriculture / is subclass of animal husbandry / is subclass of herding
9. cattle breeding (wd:Q120837048): selection and procreation of cattle / is subclass of animal breeding
10. Catfish farming (wd:Q114956384, matched via Catfish breeding), also known as Catfish breeding, Catfish culture, pisciculture: process of catfish breeding

[Assistant] I'll search for properties related to "breed" and properties used to link individual animals to their breed.

[Tool]
Top 10 property alternatives:
1. animal breed (wd:P4743 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via breed), also known as breed, cat breed, cattle breed, chicken breed, dog breed, etc.: subject item belongs to a specific group of domestic animals, generally given by association
2. EE breed number (wd:P303 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via breed number), also known as breed number, P303: breed identification number per the EE list of the breeds of fancy pigeons (ELFP)
3. mount (wd:P3091 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via horse), also known as horse, steed, P3091: creature ridden by the subject, for instance a horse / creature ridden by the subject, for instance a horse
4. taxon especially protected in area (wd:P6569 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via protected animal), also known as animal protected, plant protected, protected animal, protected plant, protected species, etc.: species and other taxa especially protected in a area, ... entities: use red lists properties instead.
5. hybrid of (wd:P1531 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via parent breed), also known as cultivar from, parent breed, parent cultivar, parent of this hybrid, parent of this hybrid, breed, or cultivar, etc.: parent of this hybrid breed or cultivar
6. has pet (wd:P1429 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via pet), also known as keeps pet, owns pet, pet, P1429: pet that a person owns
7. winner (wd:P1346 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via top dog), also known as 1st place medalist, awardee, champ, champion, has winner, etc.: winner of a competition or similar event, not to be used for ... qualified with "for work" (P1686)) or for wars or battles / winner of an event - do not use for awards (use P166 instead), nor for wars or battles / is subproperty of participating team / is subproperty of participant
8. Allbreedpedigree ID (wd:P3167 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as P3167: identifier for a horse on Allbreedpedigree database
9. species kept (wd:P1990 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via resident animal species), also known as animals at zoo, animals housed, animals in aquarium, animals kept, animals species kept, etc.: taxa, preferably species, present at a zoo, botanical garden, ... NOT specific animals, not for any geographic location / is subproperty of has part(s) of the class / is subproperty of has parts of the class
10. taxonomic type (wd:P427 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via type species), also known as genotype, species typica, type, type genus, type species, etc.: type genus or species: [in zoology:] nominal genus or species ... the name-bearing type of this nominal species or subspecies

[Assistant] I'll inspect the property "animal breed" (P4743) to see how it's used on Wikidata and whether it's used to link individual cats to their breeds. I'll list some triples with that property.

[Tool]
Got 13,848 rows and 3 columns, showing the first 10 rows below:
| subject                            | property                 | object                             |
| ---------------------------------- | ------------------------ | ---------------------------------- |
| Bond Forger (wd:Q111805888)        | animal breed (wdt:P4743) | dog (wd:Q144)                      |
| Salshabilla Adriani (wd:Q20278394) | animal breed (wdt:P4743) | house cat (wd:Q146)                |
| Sindhi horse (wd:Q104419240)       | animal breed (wdt:P4743) | horse (wd:Q726)                    |
| Pua (wd:Q27048609)                 | animal breed (wdt:P4743) | pig (wd:Q787)                      |
| Merkel the Goat (wd:Q59904873)     | animal breed (wdt:P4743) | goat (wd:Q2934)                    |
| Lemon camel (wd:Q106713111)        | animal breed (wdt:P4743) | Camelus (wd:Q7375)                 |
| Hachi (wd:Q45819309)               | animal breed (wdt:P4743) | leopard (wd:Q34706)                |
| Rucio (wd:Q6113413)                | animal breed (wdt:P4743) | Equus africanus asinus (wd:Q19707) |
| Bao Li (wd:Q128123208)             | animal breed (wdt:P4743) | Giant panda (wd:Q33602)            |
| Donpen (wd:Q123383952)             | animal breed (wdt:P4743) | penguin (wd:Q9147)                 |
| ...                                | ...                      | ...                                |

[Assistant] I'll run a SPARQL query to get items that are instances of (P31) or subclasses of (P279) the item "cat breed" (wd:Q43577), and retrieve their English labels. This will help identify the correct breed items to use in the main query.

[Tool]
Got 140 rows and 2 columns, showing the first 5 and last 5 rows below:
| breed                                | breedLabel                  |
| ------------------------------------ | --------------------------- |
| Shaded Silver (wd:Q10666939)         | Shaded Silver (en)          |
| mixed breed cat (wd:Q116193823)      | mixed breed cat (en)        |
| Modern Siamese (wd:Q11949692)        | Modern Siamese (en)         |
| Thai Lilac (wd:Q119884431)           | Thai Lilac (en)             |
| Deutsche Langhaarkatze (wd:Q1203311) | Deutsche Langhaarkatze (en) |
| ...                                  | ...                         |
| Australian Mist (wd:Q7989)           | Australian Mist (en)        |
| American Curl Longhair (wd:Q9149958) | American Curl Longhair (en) |
| Balinese cat (wd:Q9665)              | Balinese cat (en)           |
| Bambino (wd:Q9667)                   | Bambino (en)                |
| Kohana (wd:Q97546690)                | Kohana (en)                 |

[Assistant] I'll search for the "Siamese cat" entity to inspect how individual cats are linked to it.

[Tool]
Top 10 entity alternatives:
1. Siamese (wd:Q42604, matched via Siamese cat), also known as Modern Siamese cat, Modern Wichianmat, Siamese cat: breed of Oriental cat originated in Thailand / is instance of cat breed
2. Siamese Cat (wd:Q123570862), also known as Sziámi macska: 1943 Hungarian musical comedy film directed by László Kalmár / is instance of film
3. Thai (wd:Q42732, matched via Old-style Siamese cat), also known as Applehead, Classical Siamese, Old-Style Siamese, Old-style Siamese cat, Thai cat, etc.: is instance of cat breed / cat breed
4. The Siamese Cat (wd:Q56023730): Mystery novel of a Siamese cat who becomes the center of intrigue and violence / is instance of literary work
5. Siamese Cats (wd:Q30936235): is instance of musical group / Japanese band
6. Kryptopterus minor (wd:Q3200023, matched via siamese glass catfish), also known as ghost catfish, K. minor, phantom catfish, siamese glass catfish: Asian glass catfish; member of family Siluridae / is instance of taxon
7. The Siamese Cat Song (wd:Q12005915): is instance of musical work/composition / song from Lady and the Tramp
8. Girl with Siamese Cat (wd:Q119842215): painting by Michael Blaker (1928–2018), Royal Holloway, University of London / is instance of painting
9. Sagwa, the Chinese Siamese Cat (wd:Q2737257), also known as Sagwa: is instance of animated television series / children's animated television series
10. Sagwa, the Chinese Siamese Cat (wd:Q28452587): is instance of literary work / book by Amy Tan

[Assistant] I'll list some items that are instances of Siamese (wd:Q42604) via property animal breed (P4743) or via instance of (P31) to see how cats are linked to breed items.

[Tool]
Got 7 rows and 3 columns:
| subject                        | property                 | object              |
| ------------------------------ | ------------------------ | ------------------- |
| F. D. C. Willard (wd:Q1386318) | animal breed (wdt:P4743) | Siamese (wd:Q42604) |
| Little Scoundrel (wd:Q2440837) | animal breed (wdt:P4743) | Siamese (wd:Q42604) |
| Si (wd:Q27120673)              | animal breed (wdt:P4743) | Siamese (wd:Q42604) |
| Am (wd:Q27120705)              | animal breed (wdt:P4743) | Siamese (wd:Q42604) |
| Shun Gon (wd:Q27243305)        | animal breed (wdt:P4743) | Siamese (wd:Q42604) |
| Kao K’o-Kung (wd:Q98769237)    | animal breed (wdt:P4743) | Siamese (wd:Q42604) |
| Yum Yum (wd:Q98769246)         | animal breed (wdt:P4743) | Siamese (wd:Q42604) |

[Assistant] I'll run a SPARQL query that finds items that are instances of or subclasses of "cat breed" (wd:Q43577), and for each breed optionally returns items that are cats (instance of domestic cat wd:Q146) and that are linked to the breed either via the "animal breed" property (P4743) or by being instance of the breed (P31). I'll request English labels as optional. Now I'll execute the query.

[Tool]
Got 157 rows and 4 columns, showing the first 5 and last 5 rows below:
| breed                          | breedLabel            | cat | catLabel |
| ------------------------------ | --------------------- | --- | -------- |
| wd:Q18021887                   |                       |     |          |
| wd:Q2933986                    |                       |     |          |
| wd:Q125904120                  |                       |     |          |
| wd:Q131315636                  |                       |     |          |
| wd:Q25456858                   |                       |     |          |
| ...                            | ...                   | ... | ...      |
| Turkish Van (wd:Q42724)        | Turkish Van (en)      |     |          |
| Ukrainian Levkoy (wd:Q2642315) | Ukrainian Levkoy (en) |     |          |
| Ural rex (wd:Q42706)           | Ural rex (en)         |     |          |
| Ussuri (wd:Q7902130)           | Ussuri (en)           |     |          |
| York Chocolate (wd:Q2166017)   | York Chocolate (en)   |     |          |

[Assistant]
I'll run a final SPARQL query that:
- Finds all items that are either instances of cat breed (P31 = Q43577) or are subclasses (P279*) of cat breed.
- For each breed, optionally finds cats that are instances of domestic cat (P31 = Q146) and that are linked to the breed either via animal breed (P4743) or by being instance of the breed (P31 = breed).
- Returns IRIs and English labels (labels are optional) and orders results by breed and cat labels.

Now I will execute that query.

[Tool]
Got 157 rows and 4 columns, showing the first 5 and last 5 rows below:
| breed                          | breedLabel            | cat | catLabel |
| ------------------------------ | --------------------- | --- | -------- |
| wd:Q18021887                   |                       |     |          |
| wd:Q2933986                    |                       |     |          |
| wd:Q125904120                  |                       |     |          |
| wd:Q131315636                  |                       |     |          |
| wd:Q25456858                   |                       |     |          |
| ...                            | ...                   | ... | ...      |
| Turkish Van (wd:Q42724)        | Turkish Van (en)      |     |          |
| Ukrainian Levkoy (wd:Q2642315) | Ukrainian Levkoy (en) |     |          |
| Ural rex (wd:Q42706)           | Ural rex (en)         |     |          |
| Ussuri (wd:Q7902130)           | Ussuri (en)           |     |          |
| York Chocolate (wd:Q2166017)   | York Chocolate (en)   |     |          |

[Assistant] I'll now provide the final SPARQL query and the results summary.

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?item ?itemLabel ?line ?lineLabel WHERE {
  ?item wdt:P81 ?line .
  ?line wdt:P31 / wdt:P279 * wd:Q15079663 .
  FILTER NOT EXISTS {
    ?item wdt:P31 / wdt:P279 * wd:Q928830 .
  }
  OPTIONAL {
    ?item rdfs:label ?itemLabel FILTER ( LANG( ?itemLabel ) = "en" )
  }
  OPTIONAL {
    ?line rdfs:label ?lineLabel FILTER ( LANG( ?lineLabel ) = "en" )
  }
}
ORDER BY ?item

Using entities:
rapid transit railway line (wd:Q15079663), also known as metro line, subway line, subway service, underground line
metro station (wd:Q928830), also known as metro stop, rapid transit station, rapid transit stop, subway station, subway stop, etc.

Using properties:
subclass of (wd:P279 as wdt), also known as all members of this class also belong to, category of, form of, has superclass, is a class of, etc.
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.
connecting line (wd:P81 as wdt), also known as is on, line connected to, rail line connected to, railway line, P81

Got 3,924 rows and 4 columns, showing the first 5 and last 5 rows below:
| item                                        | itemLabel                          | line                                       | lineLabel                        |
| ------------------------------------------- | ---------------------------------- | ------------------------------------------ | -------------------------------- |
| Shuqian Lu station (wd:Q101222250)          | Shuqian Lu station (en)            | Guangzhou Metro Line 10 (wd:Q11062038)     | Guangzhou Metro Line 10 (en)     |
| Pancoran LRT station (wd:Q10166185)         | Pancoran LRT station (en)          | LRT Line 2 (Jabodebek LRT) (wd:Q91013139)  | LRT Line 2 (Jabodebek LRT) (en)  |
| Cikoko LRT station (wd:Q10166205)           | Cikoko LRT station (en)            | LRT Line 2 (Jabodebek LRT) (wd:Q91013139)  | LRT Line 2 (Jabodebek LRT) (en)  |
| Ciliwung LRT station (wd:Q10166356)         | Ciliwung LRT station (en)          | LRT Line 2 (Jabodebek LRT) (wd:Q91013139)  | LRT Line 2 (Jabodebek LRT) (en)  |
| Kuningan LRT station (wd:Q10166373)         | Kuningan LRT station (en)          | LRT Line 2 (Jabodebek LRT) (wd:Q91013139)  | LRT Line 2 (Jabodebek LRT) (en)  |
| ...                                         | ...                                | ...                                        | ...                              |
| Taman Bahagia LRT station (wd:Q986438)      | Taman Bahagia LRT station (en)     | Kelana Jaya line (wd:Q248445)              | Kelana Jaya line (en)            |
| Kelana Jaya LRT station (wd:Q986580)        | Kelana Jaya LRT station (en)       | Kelana Jaya line (wd:Q248445)              | Kelana Jaya line (en)            |
| Aerotropolis (wd:Q99646085)                 | Aerotropolis (en)                  | Western Sydney Airport line (wd:Q96407261) | Western Sydney Airport line (en) |
| Boulevard Selatan LRT station (wd:Q9970006) | Boulevard Selatan LRT station (en) | LRT Line A (Jakarta LRT) (wd:Q65762187)    | LRT Line A (Jakarta LRT) (en)    |
| Pulomas LRT station (wd:Q9971976)           | Pulomas LRT station (en)           | LRT Line A (Jakarta LRT) (wd:Q65762187)    | LRT Line A (Jakarta LRT) (en)    |

Answer:
I ran the SPARQL query above. It returns all items that have a connecting line (wdt:P81) where the connecting line is an instance or subclass of "rapid transit railway line" (wd:Q15079663), while excluding items that are instances or subclasses of "metro station" (wd:Q928830). The query returns pairs: the item and its connecting line (both as IRIs), and optionally their English labels.

Example rows (from the query results) include:
- wd:Q101222250 — "Shuqian Lu station"  |  wd:Q11062038 — "Guangzhou Metro Line 10"
- wd:Q10166185  — "Pancoran LRT station" |  wd:Q91013139  — "LRT Line 2 (Jabodebek LRT)"
- wd:Q10166205  — "Cikoko LRT station"   |  wd:Q91013139  — "LRT Line 2 (Jabodebek LRT)"
- wd:Q10166356  — "Ciliwung LRT station" |  wd:Q91013139  — "LRT Line 2 (Jabodebek LRT)"
- wd:Q10166373  — "Kuningan LRT station" |  wd:Q91013139  — "LRT Line 2 (Jabodebek LRT)"

You can run the query above (it returns the item and connecting line IRIs) to get the full list.

What are the items that are not metro stations, but have a connecting line which is a rapid transit railway line? For each such item, return also the connecting line in your results.

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

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

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

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

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

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

[User] What are the items that are not metro stations, but have a connecting line which is a rapid transit railway line? For each such item, return also the connecting line in your results.

[Assistant] Step 1: I'll search for properties related to "connecting line" and properties linking items to transit lines. I'll look for properties like "connecting line", "line", "served by", etc., to find the correct property to use. Then I'll verify the property and the item for "rapid transit railway line" (which in Wikidata should be an instance of / subclass of something). I'll run searches and show my reasoning at each step.

[Tool]
Top 10 property alternatives:
1. connecting line (wd:P81 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as is on, line connected to, rail line connected to, railway line, P81: railway line(s) subject is directly connected to / railway line subject is directly connected to / railway line subject is directly connected to / is subproperty of part of
2. connects with (wd:P2789 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via connected to), also known as affixed to, attached to, attaches to, binds to, connected to, etc.: gives connections of roads, streets, squares, etc / item with which the item is physically connected / is subproperty of physically interacts with
3. connector (wd:P2935 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as electrical connector, has connector, port, ports, P2935: connectors which the device has/supports / connectors which the device has/supports / is subproperty of uses
4. connecting service (wd:P1192 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as halt of, stop of, P1192: service stopping at a station / service stopping at a station
5. bus (wd:P8107 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via interconnect), also known as interconnect, P8107: bus used on computer hardware, mainly relevant for supercomputer nodes interconnect
6. user manual URL (wd:P2078 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via manual link), also known as docs, documentation guide, documentation URL, guide URL, handbook URL, etc.: link to the user manual of the object (product, program) / is subproperty of URL
7. schematic (wd:P5555 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via line drawing), also known as diagram, line drawing, schematic diagram, P5555: illustration of the structure or operation of an object, system, or process / is subproperty of image
8. line(s) (wd:P7421 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via line), also known as line, lines, verse, verse(s), verses, etc.: line number(s) of reference for claim
9. pinout (wd:P11205 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as P11205: mapping of the physical contacts of an electrical connector or electronic component to their functions
10. electrical plug type (wd:P2853 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via mains connector), also known as electrical connector type, electrical socket type, mains connector, mains plug type, mains socket type, etc.: standard plug type for mains electricity in a country / standard plug type for mains electricity in a country / standard plug type for mains electricity in a country

[Assistant] I'll search for the item for "rapid transit railway line" (i.e., the class/instance used on Wikidata for such lines).

[Tool]
Top 10 entity alternatives:
1. rapid transit railway line (wd:Q15079663), also known as metro line, subway line, subway service, underground line: is subclass of railway line / type of railway line / type of railway line
2. automated rapid transit railway line (wd:Q107343049), also known as automated metro line, automated subway line, automated subway service, automated underground line, driverless metro line, etc.: is subclass of rapid transit railway line / railway line that doesn't need a driver / is subclass of railway line / is subclass of metro line
3. Cincinnati Subway (wd:Q1046992, matched via Cincinnati Rapid Transit Railway), also known as Cincinnati Rapid Transit Railway: is instance of proposed entity / incomplete city subway system
4. Saitama Rapid Railway Line (wd:Q1065949), also known as Saitama Stadium Line: is instance of railway line / railway line in Japan
5. Semboku Rapid Railway Line (wd:Q2758012): is instance of railway line / railway line in Japan
6. Kobe Rapid Transit Railway (wd:Q847533), also known as Kōbe Rapid Transit Railway: Japanese railway company
7. Tōyō Rapid Railway Line (wd:Q843148), also known as Tōyō Rapid Line: is instance of railway line / railway line in Japan
8. Syracuse Rapid Transit Railway (wd:Q7663055): is instance of Railway company / is instance of railway company
9. MRT Purple Line (wd:Q6584549, matched via Metropolitan Rapid Transit Purple Line), also known as Metropolitan Rapid Transit Purple Line: second line of Bangkok's underground metro system. / is instance of rapid transit railway line / is instance of metro line
10. Nara Ikoma Rapid Transit Railway (wd:Q10942268), also known as Nara Ikoma Rapid Railway Co., Ltd.: is instance of business

[Assistant] I'll search for the entity for "metro station" to use as the class to exclude (i.e., items that are metro stations should be filtered out).

[Tool]
Top 10 entity alternatives:
1. metro station (wd:Q928830), also known as metro stop, rapid transit station, rapid transit stop, subway station, subway stop, etc.: railway station of a rapid transit system / is instance of type of station / is subclass of railway station / is subclass of train station
2. Metro Station (wd:Q864991): is instance of musical group / American pop rock band
3. Metro Station (wd:Q2570790): 2007 self-titled debut studio album by Metro Station / is instance of album
4. Thessaloniki Metro station (wd:Q133240803, matched via metro station), also known as metro station: station served by the Thessaloniki Metro / is subclass of metro station
5. Metro station (wd:Q103957766): is instance of encyclopaedic article / is instance of encyclopedia article / encyclopedia article
6. Athens Metro station (wd:Q115792670, matched via metro station), also known as metro station: station served by the Athens Metro / is subclass of metro station
7. Town Hall (wd:Q968939, matched via Paris Metro station), also known as Paris Metro station: is instance of underground station / is instance of metro station / Paris Metro station / Paris Metro station / Paris Métro station
8. Maelbeek/Maalbeek metro station (wd:Q2206139): is instance of underground station / metro station in Brussels, Belgium / is instance of metro station
9. Rautatientori metro station (wd:Q1800984): is instance of underground station / metro station in Helsinki, Finland / is instance of metro station
10. Kulosaari metro station (wd:Q1800990): is instance of station located on surface / metro station in Helsinki, Finland / is instance of metro station

[Assistant] I'll inspect usage of property P81 ("connecting line") to confirm how it's used and to see sample triples.

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                                               | property                  | object                                          |
| ----------------------------------------------------- | ------------------------- | ----------------------------------------------- |
| Offa Railway Station (wd:Q117450727)                  | connecting line (wdt:P81) | Lagos (wd:Q8673)                                |
| Veneto (wd:Q1243)                                     | connecting line (wdt:P81) | Dolomites Railway (wd:Q1118617)                 |
| Johan Adolf Pengel International Airport (wd:Q183494) | connecting line (wdt:P81) | Georgetown (wd:Q10717)                          |
| Antwerp International Airport (wd:Q17480)             | connecting line (wdt:P81) | Leonardo da Vinci–Fiumicino Airport (wd:Q19101) |
| Nizhny Novgorod International Airport (wd:Q1432178)   | connecting line (wdt:P81) | Vnukovo International Airport (wd:Q273462)      |
| Nanshankou railway station (wd:Q10907526)             | connecting line (wdt:P81) | Qingzang railway (wd:Q233754)                   |
| Grand Central Terminal (wd:Q11290)                    | connecting line (wdt:P81) | Park Avenue main line (wd:Q7137638)             |
| Canary Wharf (wd:Q1032811)                            | connecting line (wdt:P81) | Docklands Light Railway (wd:Q216360)            |
| Eastcote tube station (wd:Q1278097)                   | connecting line (wdt:P81) | Metropolitan line (wd:Q19891)                   |
| Walthamstow Central tube station (wd:Q104376653)      | connecting line (wdt:P81) | Victoria line (wd:Q203030)                      |
| ...                                                   | ...                       | ...                                             |

[Assistant] Now I'll run a SPARQL query to find items that have a connecting line (P81) where that line is an instance (or instance of a subclass) of "rapid transit railway line" (Q15079663), and exclude items that are metro stations (instance of metro station Q928830). I'll request labels in English as OPTIONALs for readability.

[Tool]
Got 200 rows and 4 columns, showing the first 5 and last 5 rows below:
| item                                               | itemLabel                                  | line                                         | lineLabel                          |
| -------------------------------------------------- | ------------------------------------------ | -------------------------------------------- | ---------------------------------- |
| Voorburg 't Loo (wd:Q7941698)                      | Voorburg 't Loo (en)                       | RandstadRail 34 (wd:Q100991407)              | RandstadRail 34 (en)               |
| Den Haag Laan van NOI railway station (wd:Q800656) | Den Haag Laan van NOI railway station (en) | RandstadRail 34 (wd:Q100991407)              | RandstadRail 34 (en)               |
| wd:Q111738574                                      |                                            | Line 1 of the Salvador subway (wd:Q10318644) | Line 1 of the Salvador subway (en) |
| São Bento metro station (Porto) (wd:Q10276156)     | São Bento metro station (Porto) (en)       | Line D (wd:Q10318679)                        | Line D (en)                        |
| São Bento metro station (Porto) (wd:Q10276156)     | São Bento metro station (Porto) (en)       | Line G (wd:Q10318686)                        | Line G (en)                        |
| ...                                                | ...                                        | ...                                          | ...                                |
| République (wd:Q110929056)                         | République (en)                            | 3 (wd:Q109046031)                            | 3 (en)                             |
| Bab El Khadhra (wd:Q110929067)                     | Bab El Khadhra (en)                        | 3 (wd:Q109046031)                            | 3 (en)                             |
| Ibn Khaldoun (wd:Q110929020)                       | Ibn Khaldoun (en)                          | 3 (wd:Q109046031)                            | 3 (en)                             |
| Les Jasmins (wd:Q110929021)                        | Les Jasmins (en)                           | 3 (wd:Q109046031)                            | 3 (en)                             |
| 14 Janvier 2014 (wd:Q110929022)                    | 14 Janvier 2014 (en)                       | 3 (wd:Q109046031)                            | 3 (en)                             |

[Assistant] Now I'll execute the final SPARQL query that finds all items with connecting line (P81) where the line is an instance or subclass of rapid transit railway line (Q15079663), excluding items that are metro stations (Q928830). I'll request English labels optionally.

[Tool]
Got 1,000 rows and 4 columns, showing the first 5 and last 5 rows below:
| item                                                | itemLabel                                | line                                      | lineLabel                       |
| --------------------------------------------------- | ---------------------------------------- | ----------------------------------------- | ------------------------------- |
| Shuqian Lu station (wd:Q101222250)                  | Shuqian Lu station (en)                  | Guangzhou Metro Line 10 (wd:Q11062038)    | Guangzhou Metro Line 10 (en)    |
| Pancoran LRT station (wd:Q10166185)                 | Pancoran LRT station (en)                | LRT Line 2 (Jabodebek LRT) (wd:Q91013139) | LRT Line 2 (Jabodebek LRT) (en) |
| Cikoko LRT station (wd:Q10166205)                   | Cikoko LRT station (en)                  | LRT Line 2 (Jabodebek LRT) (wd:Q91013139) | LRT Line 2 (Jabodebek LRT) (en) |
| Ciliwung LRT station (wd:Q10166356)                 | Ciliwung LRT station (en)                | LRT Line 2 (Jabodebek LRT) (wd:Q91013139) | LRT Line 2 (Jabodebek LRT) (en) |
| Kuningan LRT station (wd:Q10166373)                 | Kuningan LRT station (en)                | LRT Line 2 (Jabodebek LRT) (wd:Q91013139) | LRT Line 2 (Jabodebek LRT) (en) |
| ...                                                 | ...                                      | ...                                       | ...                             |
| Tokyo Metro Ichigaya Station (wd:Q123975129)        | Tokyo Metro Ichigaya Station (en)        | Yūrakuchō Line (wd:Q787305)               | Yūrakuchō Line (en)             |
| Blatchford Gate station (wd:Q124005392)             | Blatchford Gate station (en)             | Metro Line (wd:Q14192100)                 | Metro Line (en)                 |
| Shuixi Stabling Yard (wd:Q124025947)                | Shuixi Stabling Yard (en)                | Guangzhou Metro Line 21 (wd:Q6553110)     | Guangzhou Metro Line 21 (en)    |
| wd:Q124059087                                       |                                          | Line 17 (wd:Q5430578)                     | Line 17 (en)                    |
| 2021 Chitgar Metro Station accident (wd:Q124098159) | 2021 Chitgar Metro Station accident (en) | Tehran Metro Line 5 (wd:Q20110122)        | Tehran Metro Line 5 (en)        |

[Assistant]
Before finalizing, I'll provide the final SPARQL query I constructed and explain the logic:
- I use property wdt:P81 (connecting line) to find items that have a connecting line.
- I require the connecting line to be an instance (P31) or instance of a subclass (P31/P279*) of rapid transit railway line (wd:Q15079663).
- I filter out items that are metro stations by excluding any items that are instance (P31) or instance of a subclass (P31/P279*) of metro station (wd:Q928830).
- I optionally include English rdfs:label values for readability.

Now I'll finalize by returning the SPARQL query and a short summary of the results (with some example rows from the executed query).

[Tool] Stopping