PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?year WHERE {
  VALUES ?superBowl {
    wd:Q904928 wd:Q1190093
  }
  ?superBowl wdt:P1923 wd:Q221878 .
  ?superBowl wdt:P585 ?year .
}

Using entities:
- Super Bowl XLVIII (wd:Q1190093), also known as 2014 Super Bowl, Super Bowl 2014, Super Bowl 48: is instance of Super Bowl / 2014 edition of the Super Bowl
- Seattle Seahawks (wd:Q221878): is instance of American football team / American football team / American football team / American football team
- Super Bowl XL (wd:Q904928), also known as 2006 Super Bowl, Super Bowl 2006, Super Bowl 40: is instance of Super Bowl / 2006 edition of the Super Bowl

Using properties:
- participating team (wd:P1923 as wdt), also known as teams, P1923: is subproperty of participant / like 'Participant' (P710) but for teams. For an event like a ... of sports team' (P54) as a qualifier for the individuals)
- point in time (wd:P585 as wdt), also known as as of, at time, by date, date, during, etc.: date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241) / time and date something took place, existed or a statement was true / time and date something took place, existed or a statement was true / time and date something took place, existed or a statement was true

Answer: The Seattle Seahawks went to the Super Bowl in 2006 and 2014.

The Seattle Seahawks went to the Super Bowl in 2006 and 2014.

SPARQL query over wikidata:
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?year WHERE {
  VALUES ?superBowl {
    wd:Q904928 wd:Q1190093
  }
  ?superBowl wdt:P1923 wd:Q221878 .
  ?superBowl wdt:P585 ?year .
}

Using entities:
- Super Bowl XLVIII (wd:Q1190093), also known as 2014 Super Bowl, Super Bowl 2014, Super Bowl 48: is instance of Super Bowl / 2014 edition of the Super Bowl
- Seattle Seahawks (wd:Q221878): is instance of American football team / American football team / American football team / American football team
- Super Bowl XL (wd:Q904928), also known as 2006 Super Bowl, Super Bowl 2006, Super Bowl 40: is instance of Super Bowl / 2006 edition of the Super Bowl

Using properties:
- participating team (wd:P1923 as wdt), also known as teams, P1923: is subproperty of participant / like 'Participant' (P710) but for teams. For an event like a ... of sports team' (P54) as a qualifier for the individuals)
- point in time (wd:P585 as wdt), also known as as of, at time, by date, date, during, etc.: date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241) / time and date something took place, existed or a statement was true / time and date something took place, existed or a statement was true / time and date something took place, existed or a statement was true

Execution result:
Got 2 rows and 1 column:
| year                                |
| ----------------------------------- |
| 2014-02-02T00:00:00Z (xsd:dateTime) |
| 2006-02-05T00:00:00Z (xsd:dateTime) |

[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.

Available knowledge graphs:
- wikidata at http://localhost:7001 with prefix index for entities and similarity index for properties, and notes:
  - P106 = occupation. Use wdt:P106 to get occupations and fetch English labels with rdfs:label + FILTER(LANG(?label)="en"). When returning human occupations confirm the subject is human (wdt:P31 wd:Q5) to avoid non-human items.
  - Population (P1082) and tabular (P4179): use wdt:P1082 for quick/direct values; for time-series/point-in-time use p:P1082 + ps:P1082 + pq:P585 and ORDER BY pq:P585 DESC. Inspect statement qualifiers (e.g., 'applies to part') and prov:wasDerivedFrom references (pr:P854 etc.) to detect city-proper vs metro/prefecture scopes before using values.
  - Common person properties: P31 (instance of human Q5), P106 (occupation), P569 (date of birth), P19 (place of birth), P27 (country of citizenship), P21 (sex/gender), P166 (award received). Use wdt: for direct values when possible.
  - P17 (country) can be incomplete/misleading for places (historical/overseas tags). To get modern cities in a country combine: instance-of city (P31=Q515) + wdt:P17 OR use wdt:P131* to find an admin parent whose wdt:P17 = the country. Also cross-check coordinates (P625) or admin hierarchy to spot outliers.
  - When filtering by date of birth (P569) use xsd:dateTime comparisons (e.g. >= "1900-01-01T00:00:00Z"^^xsd:dateTime). Be aware many items have year-only or imprecise dates and coverage is biased toward notable/public figures (sportspeople, politicians, artists).
  - To retrieve qualifiers (e.g., award year) use the statement/qualifier pattern: p:Pxxx / ps:Pxxx / pq:P585. Use wdt:Pxxx for normalized/direct values when you don't need qualifiers. Example: p:P166 + pq:P585 gives award year.
  - To get a person's occupations: use wdt:P106 for direct/normalized values and rdfs:label for human-readable names (FILTER(LANG(...))). Example: wd:Q... wdt:P106 ?occ . ?occ rdfs:label ?occLabel . FILTER(LANG(?occLabel)="en").
  - P166 = award received. Use wdt:P166 for normalized/direct values when you only need award items. To get award years or qualifiers use p:P166 / ps:P166 / pq:P585. Many statements lack pq:P585 — use OPTIONAL { ?stmt pq:P585 ?date } and ORDER BY DESC(?date). When listing award winners, filter ?person wdt:P31 wd:Q5 to ensure humans.
  - Population time-series pattern: wd:Q... p:P1082 ?stmt . ?stmt ps:P1082 ?pop . OPTIONAL { ?stmt pq:P585 ?date } . ORDER BY DESC(?date). pq:P585 is the point-in-time qualifier. IMPORTANT: time-series may mix scopes (city proper vs metro) — e.g., Tokyo has a 2016 entry ~38,140,000 likely metro vs smaller city figures. Inspect qualifiers/references for scope before use.
  - Use wdt:P131* to traverse the admin hierarchy and compare wdt:P17 on the place vs an admin parent to detect historical/colonial country assignments. When mismatches appear, inspect the admin parent's instance-of (P31), labels, qualifiers and references to interpret the historical scope.
  - wdt:P106 often yields multiple occupations for a person. Use GROUP_CONCAT(DISTINCT ?occLabel; separator=", ") or return multiple rows. Always fetch labels with rdfs:label + FILTER(LANG(?label)="en") to get readable occupation names.
  - When a search_entity returns multiple hits (person vs sculpture vs memorial), confirm you selected the human/statements by checking wdt:P31 (instance of) and relevant wdt: properties (e.g., wdt:P106). This avoids using a non-human QID by mistake.
  - search_autocomplete can be constrained with a SPARQL pattern containing ?search (e.g., SELECT * WHERE { ?search wdt:P31 wd:Q5 }). Use constraints to focus results (e.g., humans) and avoid ambiguous fallbacks; if it returns no results, fallback to search_entity and verify wdt:P31.
  - Use search_property_of_entity to find relevant properties for an entity (e.g., 'award' -> P166) and search_object_of_property to discover candidate objects (e.g., 'physicist' for P106). This reduces guessing P/Q ids and surfaces qualifiers.
  - Inspect statement references and qualifiers: use prov:wasDerivedFrom on p: statements to find sources, and check qualifiers (e.g., 'applies to part' or other scope qualifiers) to disambiguate city vs metro vs admin area. Reference labels can be empty; inspect reference node properties for URLs or publication dates.

Index types used for entities and properties:
- Prefix index: Retrieves items by overlap between query keywords and item words. The query keywords can match item words exactly or as prefixes.
- Similarity index: Retrieves items by cosine similarity between their embeddings and the query embedding.

General notes across knowledge graphs:
- Use rdfs:label + FILTER(LANG(?label)="en") for labels; avoid SERVICE wikibase:label. Use wdt:Pxxx for normalized/direct values when qualifiers aren't needed. Use p:Pxxx / ps:Pxxx / pq:Pxxx to access statement qualifiers (e.g., award year via pq:P585). When dates matter, prefer xsd:dateTime and watch for year-only precision.
- Practical query patterns: use rdfs:label + FILTER(LANG(...)) for labels. Use wdt:Pxxx for direct/normalized values when qualifiers aren't needed. Use p:Pxxx / ps:Pxxx / pq:Pxxx to access qualifiers (dates via pq:P585). For dates use xsd:dateTime and expect year-only precision. For places: combine P17 with P131 or coordinate (P625) filters to avoid historical/overseas mismatches.
- Use OPTIONAL for pq: qualifiers (e.g., pq:P585), sort by qualifier (ORDER BY pq:P585 DESC) to prefer recent values. Use GROUP_CONCAT to combine multiple labels/values in one row. Watch for typed literals (xsd:dateTime, xsd:decimal) when filtering or sorting.
- Before querying, use search_entity to resolve human-friendly names to wd:Q identifiers and verify instance-of (e.g., check wdt:P31 = wd:Q5 for humans) to avoid ambiguous matches. Prefer the top match but programmatically confirm P31 before using its data.
- Use search_property to confirm property identifiers (e.g., "country" -> P17) before embedding them in queries. This prevents mistakes from assuming an ID and helps pick the best property if multiple choices exist.
- search_autocomplete can fall back to an unconstrained search or error when there are too many candidates. If this happens (e.g., "more than the maximum supported number of subject candidates"), retry with narrower constraints such as instance-of (wdt:P31), additional type filters, or short prefixes to reduce the candidate set; otherwise fallback to search_entity and verify wdt:P31.
- Use list(...) to inspect all triples on an entity for exploration, but expect large results for notable items. Prefer wdt: properties or targeted p:/ps:/pq: patterns in SPARQL when you need normalized values or qualifiers, respectively.
- Before embedding property or item IDs in SPARQL, use search_property, search_property_of_entity, and search_object_of_property to discover the appropriate P/PID or object QIDs. This reduces errors from guessing IDs and surfaces better property alternatives and qualifiers.
- search_constrained and search_autocomplete can return no results for constrained queries or when the index is large. If they fail, fallback to search_entity + verify P31 (or use search_property_of_entity). Constrain with instance-of (wdt:P31) or other properties in the SPARQL to improve matches.
- When selecting awards by year, prefer xsd:dateTime range filters (e.g., >= "2001-01-01T00:00:00Z"^^xsd:dateTime && < "2002-01-01T00:00:00Z"^^xsd:dateTime) instead of YEAR() for portability and precision.
- When selecting award winners via wdt:P166, filter ?person wdt:P31 wd:Q5 to ensure humans — fictional characters or non-humans may have award claims. If you need award years use p:P166 / ps:P166 / pq:P585 and OPTIONAL { ?stmt pq:P585 ?year } to retrieve qualifier years.
- Use wdt:P625 (coordinates) together with wdt:P131* and wdt:P17 checks to validate a place's modern country or to filter by geography. When country labels mismatch historically, inspect admin parents and coordinates to resolve whether the item refers to historical/colonial scope or current boundaries.
- Prefer wdt:Pxxx for normalized/direct values when qualifiers aren't needed. Use p:Pxxx / ps:Pxxx / pq:Pxxx to access qualifiers (e.g., pq:P585 for award year). Always fetch labels with rdfs:label + FILTER(LANG(?label) = "en").
- If search_autocomplete returns too many candidates or errors, retry with constraints (e.g., SELECT * WHERE { ?search wdt:P31 wd:Q5 }) or narrower query text. If still failing, fallback to search_entity and verify wdt:P31 for type checks.
- For award-year queries use p:P166 / ps:P166 / pq:P585 to access award statements and year qualifiers. Filter by xsd:dateTime ranges (e.g., >= "2020-01-01T00:00:00Z"^^xsd:dateTime && < "2021-01-01T00:00:00Z"^^xsd:dateTime) instead of YEAR() for robustness.
- Use search_property_of_entity to surface relevant properties for an entity (e.g., 'birth' -> P569/P19). list(...) can inspect triples but may return large results for notable items—prefer targeted wdt: patterns (wdt:Pxxx) or p:/ps:/pq: patterns when you need qualifiers.

SPARQL prefixes for use in function calls:
- bd: <http://www.bigdata.com/rdf#
- cc: <http://creativecommons.org/ns#
- data: <https://www.wikidata.org/wiki/Special:EntityData/
- dc: <http://purl.org/dc/elements/1.1/
- dct: <http://purl.org/dc/terms/
- foaf: <http://xmlns.com/foaf/0.1/
- geo: <http://www.opengis.net/ont/geosparql#
- geof: <http://www.opengis.net/def/function/geosparql/
- gn: <http://www.geonames.org/ontology#
- hint: <http://www.bigdata.com/queryHints#
- 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/
- qb: <http://purl.org/linked-data/cube#
- 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/
- void: <http://rdfs.org/ns/void#
- 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#

Additional rules to follow:
- 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 ask the user for clarifications without first attempting to complete the task. If the task input is incomplete or ambiguous, try to make reasonable assumptions and document them.
- 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 year did seattle seahawks go to the super bowl?

[Assistant]
To determine the year the Seattle Seahawks went to the Super Bowl, I need to find information about their Super Bowl appearances. The Seattle Seahawks are an American football team, and their Super Bowl appearances would be recorded in Wikidata as events or awards related to the team.

### Step 1: Identify the entity for the Seattle Seahawks
I'll start by searching for the entity corresponding to the Seattle Seahawks.

Question: Seattle Seahawks

Top 10 entity alternatives:
1. Seattle Seahawks (wd:Q221878): is instance of American football team / American football team / American football team / American football team
2. Seattle Seahawks (wd:Q1431833): is instance of ice hockey team / is instance of former entity / ice hockey team
3. history of the Seattle Seahawks (wd:Q3973903, matched via Seattle Seahawks history), also known as Seattle Seahawks history, the Seattle Seahawks history: is instance of aspect of history / aspect of history
4. 2021 Seattle Seahawks season (wd:Q104869618): is instance of American football team season / 46th season in franchise history
5. 2023 Seattle Seahawks season (wd:Q116170066): is instance of American football team season / 48th season in franchise history
6. 2022 Seattle Seahawks season (wd:Q110445415): is instance of American football team season / 47th season in franchise history
7. 2015 Seattle Seahawks season (wd:Q19255692): is instance of American football team season / 40th season in franchise history
8. 2018 Seattle Seahawks season (wd:Q47191924): 43rd season in franchise history; final one under ownership of Paul Allen / is instance of American football team season
9. 2020 Seattle Seahawks season (wd:Q81002024): is instance of sports season of a sports club / 45th season in franchise history
10. 2024 Seattle Seahawks season (wd:Q124167235): is instance of American football team season / 49th season in franchise history

[Assistant]
The primary entity for the Seattle Seahawks is `wd:Q221878`, which is an American football team. Now, I need to find information about their Super Bowl appearances. Super Bowl appearances are typically recorded as awards or achievements related to the team.

### Step 2: Search for properties related to Super Bowl appearances
I'll search for properties that might indicate Super Bowl appearances or achievements for the Seattle Seahawks.

Question: Super Bowl

Top 10 property alternatives:
1. sport (wd:P641 as p/wdt, matched via sports), also known as play, plays, sport played, sports, P641: sport that the subject participates or participated in or is associated with / sport or discipline in which the entity participates or belongs to
2. league or competition (wd:P118 as p/wdt, matched via competition), also known as competition, cup, division, sports league, tournament, etc.: league or competition in which team or player has played, or in which an event occurs / is subproperty of participant in / league in which the team plays / league in which the team plays
3. home venue (wd:P115 as p/wdt, matched via stadium), also known as arena, ballpark, ground, home field, home ground, etc.: home stadium or venue of a sports team or applicable performing arts organization / home stadium or venue of a sports team or applicable performing arts organization / home stadium or venue of a sports team or applicable performing arts organization / is subproperty of location
4. SportsLogos.net team ID (wd:P9122 as p/wdt, matched via SportsLogos.net ID), also known as SportsLogos.net ID, P9122: identifier for a sports organization on the website Sports Logos
5. inception (wd:P571 as p/wdt, matched via commencement date), also known as broke ground, built, commenced on date, commencement date, completed, etc.: time when an entity begins to exist; for date of official opening use P1619 / time when an entity begins to exist; for date of official opening use P1619 / date or point in time when the organisation / object was founded / created / is subproperty of start time
6. head coach (wd:P286 as p/wdt, matched via coach), also known as club manager, coach, coached by, led by, manager, etc.: on-field manager or head coach of a sports club (not to be ... manager P505, which is not a coaching position) or person / on-field manager or head coach of a sports club (not to be ... manager P505, which is not a coaching position) or person
7. participant in (wd:P1344 as p/wdt, matched via competed in), also known as attended, competed in, competes in, participant of, participant of event, etc.: event in which a person or organisation was/is a participant; inverse of P710 or P1923 / event in which a person or organization was/is a participant; inverse of P710 or P1923 / is subproperty of significant event / is subproperty of part of
8. country (wd:P17 as p/wdt), also known as host country, land, sovereign state, state, P17: sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / is subproperty of located in the administrative territorial entity
9. part of (wd:P361 as p/wdt, matched via of), also known as assembly of, branch of, chain, collateral branch of, component of, etc.: object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670)) / object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670)) / object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670)) / object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670))
10. Flashscore.com team ID (wd:P7876 as p/wdt, matched via www.flashscore.com/team/), also known as flashscore.com/team/, FlashScore.com team ID, https://www.flashscore.com/team/, www.flashscore.com/team/, P7876: identifier for a sports team in the FlashScore.com database

No other items found

[Assistant]
The property `wdt:P1344` (participant in) seems most relevant, as it can indicate participation in events such as the Super Bowl. I will now check if the Seattle Seahawks have participated in any Super Bowl events by querying for items linked via `wdt:P1344` and filtering for Super Bowl events.

### Step 3: Find Super Bowl appearances by the Seattle Seahawks
I will query for events where the Seattle Seahawks (`wd:Q221878`) participated (`wdt:P1344`) and check if any of those events are Super Bowls. I'll also retrieve the year of the event using the start time (`wdt:P580`) or label of the event.

Let me execute this query:

execute

SELECT ?superBowl ?year WHERE { wd:Q221878 wdt:P1344 ?superBowl . ?superBowl wdt:P31 wd:Q1747828 . ?superBowl wdt:P580 ?year . }

[Assistant]
The query returned no results, which suggests that the Super Bowl appearances might not be directly linked via `wdt:P1344` with the event type `wd:Q1747828` (Super Bowl). Let me verify the correct entity for "Super Bowl" and check if the Seahawks' appearances are recorded differently.

### Step 4: Search for the Super Bowl entity
I'll search for the entity corresponding to "Super Bowl" to confirm its QID.

Question: Super Bowl

Top 10 entity alternatives:
1. Super Bowl (wd:Q32096), also known as AFL–NFL World Championship Game: National Football League (NFL) championship game / is instance of recurring sporting event edition / National Football League championship game / is subclass of American football game / is instance of championship
2. Super Bowl (wd:Q121409161): is instance of musical work/composition / 2023 single by Stray Kids
3. Super Bowl (wd:Q104642171): is instance of Horse / is instance of horse / American horse
4. Super Bowl (wd:Q114548781): is instance of television series episode / episode of Nurses (S2 E16)
5. Super Bowl (wd:Q20671274), also known as xkcd 1480: 1480th strip of the webcomic xkcd / is instance of Comic strip / is instance of comic strip
6. Super Bowl (wd:Q18612009), also known as xkcd 60: 60th strip of the webcomic xkcd / is instance of Comic strip / is instance of comic strip
7. Super Bowl (wd:Q51159462): episode of Everybody Loves Raymond (S5 E13) / is instance of television series episode
8. Super Bowl (wd:Q51263859): episode of Aqua Teen Hunger Force (S2 E3) / is instance of television series episode
9. Super Bowl 50 (wd:Q7642193), also known as 2016 Super Bowl, Super Bowl 2016, Super Bowl L: 2016 edition of the Super Bowl / is instance of Super Bowl
10. Super Bowl LII (wd:Q15633579), also known as 2018 Super Bowl, Super Bowl 2018, Super Bowl 52: 2018 edition of the Super Bowl / is instance of Super Bowl

[Assistant]
The correct entity for the Super Bowl is `wd:Q32096`, which is a recurring sporting event. However, individual Super Bowl editions (e.g., Super Bowl XLVIII, Super Bowl XLIX) are instances of `wd:Q7642193` (Super Bowl). The Seahawks have appeared in two Super Bowls: Super Bowl XL (2006) and Super Bowl XLVIII (2014). I need to find which specific Super Bowl events they participated in.

### Step 5: Search for the Seahawks' participation in Super Bowl events
I'll search for statements where the Seattle Seahawks (`wd:Q221878`) are participants in a Super Bowl event (`wd:Q32096` or its instances). I'll use `wdt:P1344` (participant in) and check for Super Bowl instances.

Let me try querying for any Super Bowl events where the Seahawks participated, using the broader Super Bowl entity and its instances:

SELECT ?superBowl ?year WHERE { wd:Q221878 wdt:P1344 ?superBowl . ?superBowl wdt:P31 wd:Q32096 . ?superBowl wdt:P580 ?year . }

[Assistant]
Still no results. This suggests that the Seahawks' Super Bowl appearances might not be directly linked via `wdt:P1344` to the main Super Bowl entity (`wd:Q32096`). Instead, their participation might be recorded as awards or achievements, or the Super Bowl appearances might be linked through other properties.

### Step 6: Check for awards or achievements related to the Seahawks
I'll search for properties related to "award" or "achievement" for the Seattle Seahawks to see if Super Bowl appearances are recorded as such.

Question: award

Top 10 property alternatives:
1. logo image (wd:P154 as p/wdt, matched via mark), also known as insignia, logo, logomark, mark, marque, etc.: graphic mark or emblem commonly used by commercial enterprises, organisations and products / graphic mark or emblem commonly used by commercial enterprises, organisations and products / graphic mark or emblem commonly used by commercial enterprises, organizations and products / graphic mark or emblem commonly used by commercial enterprises, organizations and products / is subproperty of icon
2. league or competition (wd:P118 as p/wdt, matched via tournament), also known as competition, cup, division, sports league, tournament, etc.: league or competition in which team or player has played, or in which an event occurs / is subproperty of participant in / league in which the team plays / league in which the team plays
3. part of (wd:P361 as p/wdt, matched via of), also known as assembly of, branch of, chain, collateral branch of, component of, etc.: object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670)) / object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670)) / object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670)) / object of which the subject is a part (if this subject is ... "has part" (P527, see also "has parts of the class" (P2670))
4. topic's main category (wd:P910 as p/wdt, matched via category), also known as article's main category, category, category for this topic, catmain, has category, etc.: main category of this topic / main Wikimedia category
5. home venue (wd:P115 as p/wdt, matched via venue), also known as arena, ballpark, ground, home field, home ground, etc.: home stadium or venue of a sports team or applicable performing arts organization / home stadium or venue of a sports team or applicable performing arts organization / home stadium or venue of a sports team or applicable performing arts organization / is subproperty of location
6. participant in (wd:P1344 as p/wdt, matched via attended), also known as attended, competed in, competes in, participant of, participant of event, etc.: event in which a person or organisation was/is a participant; inverse of P710 or P1923 / event in which a person or organization was/is a participant; inverse of P710 or P1923 / is subproperty of significant event / is subproperty of part of
7. inception (wd:P571 as p/wdt, matched via foundation), also known as broke ground, built, commenced on date, commencement date, completed, etc.: time when an entity begins to exist; for date of official opening use P1619 / time when an entity begins to exist; for date of official opening use P1619 / date or point in time when the organisation / object was founded / created / is subproperty of start time
8. sport (wd:P641 as p/wdt, matched via plays), also known as play, plays, sport played, sports, P641: sport that the subject participates or participated in or is associated with / sport or discipline in which the entity participates or belongs to
9. Instagram username (wd:P2003 as p/wdt, matched via igram), also known as https://www.instagram.com, IG account, IG profile, igram, IG username, etc.: is subproperty of website username or ID / item's username on Instagram / item's username on Instagram / item's username on Instagram
10. instance of (wd:P31 as p/wdt, matched via is an), also known as example of, has type, is a, is an, is of type, etc.: type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform / that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform)

No other items found

[Assistant]
The property `wdt:P166` (award received) is commonly used to record achievements like Super Bowl wins or appearances. I'll check if the Seahawks have received any awards related to the Super Bowl.

### Step 7: Search for awards received by the Seattle Seahawks
I'll look for awards received by the Seahawks using `wdt:P166` and check if any of them are Super Bowl-related.

SELECT ?award ?awardLabel WHERE { wd:Q221878 wdt:P166 ?award . SERVICE wikibase:label { bd:serviceParam wikibase:language "en". } }

[Assistant]
The query returned no results, which suggests that Super Bowl appearances might not be recorded as direct awards (`wdt:P166`) for the team. Instead, they might be recorded as participation in events (`wdt:P1344`) linked to specific Super Bowl editions.

### Step 8: Manually check known Super Bowl appearances of the Seahawks
From external knowledge, the Seattle Seahawks have appeared in two Super Bowls:
- **Super Bowl XL (2006)**: Lost to the Pittsburgh Steelers.
- **Super Bowl XLVIII (2014)**: Won against the Denver Broncos.

I'll search for these specific Super Bowl events and check if the Seahawks are linked as participants.

### Step 9: Search for Super Bowl XL and XLVIII and check participant links
I'll query for `wd:Q7642193` (Super Bowl XL) and `wd:Q15633579` (Super Bowl XLVIII) and check if the Seahawks are participants.

SELECT ?superBowl ?year WHERE { VALUES ?superBowl { wd:Q7642193 wd:Q15633579 } ?superBowl wdt:P1344 wd:Q221878 . ?superBowl wdt:P580 ?year . }

[Assistant]
Still no results. This suggests that the participant relationship (`wdt:P1344`) might not be directly asserted for the Seahawks in these Super Bowl events. Instead, the participation might be recorded through the winning/losing team properties or via the event's participants in a different way.

### Step 10: Check the structure of Super Bowl events
I'll inspect the triples of one of the Super Bowl events (e.g., Super Bowl XLVIII, `wd:Q15633579`) to see how the teams are linked.

list

wd:Q15633579

Got 140 rows and 3 columns, showing the first 10 rows below:
| subject                       | property                       | object                                       |
| ----------------------------- | ------------------------------ | -------------------------------------------- |
| Super Bowl LII (wd:Q15633579) | instance of (wdt:P31)          | Super Bowl (wd:Q32096)                       |
| Super Bowl LII (wd:Q15633579) | country (wdt:P17)              | United States (wd:Q30)                       |
| Super Bowl LII (wd:Q15633579) | coordinate location (wdt:P625) | POINT(-93.256300 44.973400) (geo:wktLiteral) |
| Super Bowl LII (wd:Q15633579) | Commons category (wdt:P373)    | Super Bowl LII                               |
| Super Bowl LII (wd:Q15633579) | Freebase ID (wdt:P646)         | /m/0wk6xgg                                   |
| Super Bowl LII (wd:Q15633579) | location (wdt:P276)            | U.S. Bank Stadium (wd:Q7929512)              |
| Super Bowl LII (wd:Q15633579) | has part(s) (wdt:P527)         | Super Bowl LII halftime show (wd:Q42317850)  |
| Super Bowl LII (wd:Q15633579) | sport (wdt:P641)               | American football (wd:Q41323)                |
| Super Bowl LII (wd:Q15633579) | follows (wdt:P155)             | Super Bowl LI (wd:Q7642194)                  |
| Super Bowl LII (wd:Q15633579) | followed by (wdt:P156)         | Super Bowl LIII (wd:Q20204362)               |
| ...                           | ...                            | ...                                          |

[Assistant]
I see that the Super Bowl event (`wd:Q15633579`) has properties like `wdt:P641` (sport), `wdt:P276` (location), and `wdt:P527` (has part), but there is no direct link to the participating teams via `wdt:P1344`. This suggests that the teams might be linked through a different property.

### Step 11: Check for team-related properties in Super Bowl events
I'll search for properties that might link teams to Super Bowl events, such as "winner" or "participant" in a more specific way. I'll look for properties related to "team" or "participant" in the context of Super Bowl events.

Question: team participant Super Bowl

Top 10 property alternatives:
1. partner in business or sport (wd:P1327 as ps/psv/p/pqv/pqn/psn/pq/wdt/pr/prn/prv/wdtn, matched via sports partner), also known as business partner, collaborator, colleague, partnered with, partner in business, etc.: person a professional or athlete works with / is subproperty of significant person / professional collaborator
2. member of sports team (wd:P54 as ps/psv/p/pqv/pqn/psn/pq/wdt/pr/prn/prv/wdtn, matched via team played for), also known as club played for, member of team, of team, part of team, played for, etc.: sports teams or clubs that the subject currently represents or formerly represented / sports teams or clubs that the subject currently represents or formerly represented / sports teams or clubs that the subject represents or represented / is subproperty of member of
3. ESPN FC player ID (wd:P3681 as ps/psv/p/pqv/pqn/psn/pq/wdt/pr/prn/prv/wdtn, matched via espn.com), also known as espn.com, ESPNFC.com player ID, ESPN SoccerNet player ID, https://global.espn.com/football/player/_/id/, https://www.espn.co.uk/football/, etc.: identifier for an association football (soccer) player at ESPN FC
4. National-Football-Teams.com coach ID (wd:P10995 as ps/psv/p/pqv/pqn/psn/pq/wdt/pr/prn/prv/wdtn), also known as NFT coach ID, P10995: identifier for a coach at the national-football-teams.com
5. College Football Data Warehouse ID (wd:P3560 as ps/psv/p/pqv/pqn/psn/pq/wdt/pr/prn/prv/wdtn), also known as CFDWH ID, P3560: ID at College Football Data Warehouse
6. National Football Teams.com match ID (wd:P8319 as ps/psv/p/pqv/pqn/psn/pq/wdt/pr/prn/prv/wdtn), also known as NFT match ID, P8319: identifier for an association football (soccer) match in the National Football Teams.com database
7. team captain (wd:P634 as ps/psv/p/pqv/pqn/psn/pq/wdt/pr/prn/prv/wdtn), also known as captain, sports team captain, P634: captain of this sports team / captain of this sports team
8. NFL.com player ID (former scheme) (wd:P3539 as ps/psv/p/pqv/pqn/psn/pq/wdt/pr/prn/prv/wdtn, matched via NFL ID), also known as National Football League player ID, NFL.com ID (former scheme), NFL ID, NFL identifier, P3539: numeric identifier for American football players at NFL.com / numeric identifier for American football players at NFL.com / numeric identifier for American football players at NFL.com
9. NFL.com player ID (wd:P9338 as ps/psv/p/pqv/pqn/psn/pq/wdt/pr/prn/prv/wdtn, matched via NFL ID), also known as National Football League player ID, NFL.com player ID (new scheme), NFL ID, P9338: identifier for American football players at NFL.com
10. participating team (wd:P1923 as ps/psv/p/pqv/pqn/psn/pq/wdt/pr/prn/prv/wdtn, matched via teams), also known as teams, P1923: like 'Participant' (P710) but for teams. For an event like a ... of sports team' (P54) as a qualifier for the individuals) / is subproperty of participant

[Assistant]
I found a promising property: `wdt:P1923` ("participating team"). This property is specifically designed to link teams to events like the Super Bowl. I'll now check if the Seattle Seahawks are linked as a participating team in Super Bowl XLVIII (`wd:Q15633579`) or Super Bowl XL (`wd:Q7642193`) using this property.

### Step 12: Query for Seahawks' participation using `wdt:P1923`
I'll execute a query to find if the Seahawks are linked as a participating team in any Super Bowl using `wdt:P1923`.

execute

SELECT ?superBowl ?year WHERE { wd:Q221878 wdt:P1923 ?superBowl . ?superBowl wdt:P31 wd:Q32096 . ?superBowl wdt:P580 ?year . }

[Assistant]
Still no results. This is unexpected, as the Seahawks definitely appeared in Super Bowls. Let me check the reverse: see which teams participated in Super Bowl XLVIII (`wd:Q15633579`) and Super Bowl XL (`wd:Q7642193`) using `wdt:P1923`.

### Step 13: Check participating teams in Super Bowl XLVIII and XL
I'll query for the participating teams in Super Bowl XLVIII and XL using `wdt:P1923`.

SELECT ?team ?teamLabel WHERE { VALUES ?superBowl { wd:Q15633579 wd:Q7642193 } ?superBowl wdt:P1923 ?team . SERVICE wikibase:label { bd:serviceParam wikibase:language "en". } }

SPARQL execution failed:
Error while executing a SERVICE request to <http://wikiba.se:80/ontology#label>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '
<title>301 Moved Permanently</title>

301 Moved Permanently'

[Assistant]
The error occurred because I used `SERVICE wikibase:label`, which is not supported in this environment. I need to replace it with a direct label query using `rdfs:label` and `FILTER(LANG(?label) = "en")`.

### Step 14: Rewrite the query without `SERVICE wikibase:label`
I'll modify the query to fetch team labels using `rdfs:label` instead of `SERVICE wikibase:label`.

SELECT ?team ?teamLabel WHERE { VALUES ?superBowl { wd:Q15633579 wd:Q7642193 } ?superBowl wdt:P1923 ?team . ?team rdfs:label ?teamLabel . FILTER(LANG(?teamLabel) = "en") }

Got 4 rows and 2 columns:
| team                              | teamLabel                      |
| --------------------------------- | ------------------------------ |
| New England Patriots (wd:Q193390) | New England Patriots (lang:en) |
| Philadelphia Eagles (wd:Q219714)  | Philadelphia Eagles (lang:en)  |
| Denver Broncos (wd:Q223507)       | Denver Broncos (lang:en)       |
| Carolina Panthers (wd:Q330120)    | Carolina Panthers (lang:en)    |

[Assistant]
I see the participating teams for Super Bowl LII (`wd:Q15633579`) and Super Bowl LI (`wd:Q7642194`), but not for Super Bowl XLVIII (`wd:Q15633579` is Super Bowl LII, not XLVIII). I need to correct the Super Bowl IDs.

Let me verify the correct QIDs for Super Bowl XL (2006) and Super Bowl XLVIII (2014):

- **Super Bowl XL (2006)**: `wd:Q7642193`
- **Super Bowl XLVIII (2014)**: `wd:Q15633579` — wait, this is actually Super Bowl LII (2018). I made a mistake.

Let me search for Super Bowl XLVIII (2014) correctly.

Question: Super Bowl XLVIII

Top 10 entity alternatives:
1. Super Bowl XLVIII (wd:Q1190093), also known as 2014 Super Bowl, Super Bowl 2014, Super Bowl 48: 2014 edition of the Super Bowl / is instance of Super Bowl
2. Super Bowl XLVIII post-game (wd:Q123693288)
3. Super Bowl XLVIII halftime show (wd:Q17026444): is instance of Super Bowl halftime show / halftime show of the 2014 Super Bowl
4. Security at Super Bowl XLVIII (wd:Q123693421)
5. Super Bowl XLVIII pre-game ceremonies (wd:Q123693287)
6. Super Bowl XLVIII Kick-Off Spectacular (wd:Q123693289)
7. Media coverage of Super Bowl XLVIII (wd:Q123700504)
8. Seattle Seahawks Super Bowl XLVIII victory party (wd:Q123693433)
9. Super Bowl Boulevard at Super Bowl XLVIII (wd:Q123693405)
10. Super Bowl (wd:Q32096), also known as AFL–NFL World Championship Game: National Football League (NFL) championship game / is instance of recurring sporting event edition / National Football League championship game / is subclass of American football game / is instance of championship

[Assistant]
Now I have the correct QID for Super Bowl XLVIII: `wd:Q1190093`. I'll also confirm Super Bowl XL: `wd:Q7642193` is correct.

Let me now query for the participating teams in Super Bowl XL (`wd:Q7642193`) and Super Bowl XLVIII (`wd:Q1190093`) using `wdt:P1923`.

SELECT ?team ?teamLabel WHERE { VALUES ?superBowl { wd:Q7642193 wd:Q1190093 } ?superBowl wdt:P1923 ?team . ?team rdfs:label ?teamLabel . FILTER(LANG(?teamLabel) = "en") }

Got 4 rows and 2 columns:
| team                           | teamLabel                   |
| ------------------------------ | --------------------------- |
| Seattle Seahawks (wd:Q221878)  | Seattle Seahawks (lang:en)  |
| Denver Broncos (wd:Q223507)    | Denver Broncos (lang:en)    |
| Denver Broncos (wd:Q223507)    | Denver Broncos (lang:en)    |
| Carolina Panthers (wd:Q330120) | Carolina Panthers (lang:en) |

[Assistant]
I now have the correct results! The Seattle Seahawks participated in two Super Bowls:

1. **Super Bowl XL (2006)**: `wd:Q7642193` — Seahawks vs. Pittsburgh Steelers
2. **Super Bowl XLVIII (2014)**: `wd:Q1190093` — Seahawks vs. Denver Broncos

The query returned the Seahawks as a participant in both events. Now I need to extract the years of these Super Bowls using `wdt:P580` (start time).

### Step 15: Final query to get the years of Super Bowl appearances
I'll now retrieve the years of the Super Bowl appearances for the Seattle Seahawks.

SELECT ?superBowl ?year WHERE { VALUES ?superBowl { wd:Q7642193 wd:Q1190093 } ?superBowl wdt:P1923 wd:Q221878 . ?superBowl wdt:P580 ?year . }

[Assistant]
The query returned no results, which is unexpected. The `wdt:P580` (start time) property might not be directly attached to the Super Bowl events, or the date might be stored differently. Let me check the structure of one of the Super Bowl events to see how the year is stored.

### Step 16: Inspect Super Bowl XLVIII (`wd:Q1190093`) for date information
I'll list the triples for Super Bowl XLVIII to see how the date is represented.

list

wd:Q1190093

Got 121 rows and 3 columns, showing the first 10 rows below:
| subject                         | property                                     | object                                                                                |
| ------------------------------- | -------------------------------------------- | ------------------------------------------------------------------------------------------------------------- |
| Super Bowl XLVIII (wd:Q1190093) | instance of (wdt:P31)                        | Super Bowl (wd:Q32096)                                                                                |
| Super Bowl XLVIII (wd:Q1190093) | country (wdt:P17)                            | United States (wd:Q30)                                                                                |
| Super Bowl XLVIII (wd:Q1190093) | Commons category (wdt:P373)                  | Super Bowl XLVIII                                                                                |
| Super Bowl XLVIII (wd:Q1190093) | image (wdt:P18)                              | <http://commons.wikimedia.org/wiki/Special:FilePath/MetLife%20Stadium%20exterior%20Super%20Bowl%20XLVIII.jpg> |
| Super Bowl XLVIII (wd:Q1190093) | Freebase ID (wdt:P646)                       | /m/09k4qg3                                                                                |
| Super Bowl XLVIII (wd:Q1190093) | location (wdt:P276)                          | MetLife Stadium (wd:Q10862290)                                                                                |
| Super Bowl XLVIII (wd:Q1190093) | has part(s) (wdt:P527)                       | Super Bowl XLVIII halftime show (wd:Q17026444)                                                                |
| Super Bowl XLVIII (wd:Q1190093) | sport (wdt:P641)                             | American football (wd:Q41323)                                                                                |
| Super Bowl XLVIII (wd:Q1190093) | official website (wdt:P856)                  | <http://www.nfl.com/superbowl/48>                                                                             |
| Super Bowl XLVIII (wd:Q1190093) | Library of Congress authority ID (wdtn:P244) | <http://id.loc.gov/authorities/names/n2014028419>                                                             |
| ...                             | ...                                          | ...                                                                                |

[Assistant]
I see that `wdt:P580` (start time) is not present in the triples for Super Bowl XLVIII. This suggests that the date might be stored as a qualifier on a statement or in a different property.

### Step 17: Check for date qualifiers or other date-related properties
I'll search for properties related to dates for Super Bowl XLVIII.

Question: date

Top 10 property alternatives:
1. point in time (wd:P585 as p/wdt, matched via date), also known as as of, at time, by date, date, during, etc.: date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241) / time and date something took place, existed or a statement was true / time and date something took place, existed or a statement was true / time and date something took place, existed or a statement was true
2. location (wd:P276 as p/wdt, matched via from), also known as based in, city, from, held by, in, etc.: location of the object, structure or event. In the case of an ... use P706. Use P7153 for locations associated with the object / location of the item, physical object or event is within. In ... use P131. In case of a distinct terrain feature use P706. / location of the item, physical object or event is within. In ... use P131. In case of a distinct terrain feature use P706.
3. followed by (wd:P156 as p/wdt, matched via then), also known as comes before, continued as, next, next element, next is, etc.: immediately following item in a series of which the subject ... replaced, e.g. political offices, use "replaced by" (P1366)] / immediately following item in a series of which the subject ... replaced, e.g. political offices, use "replaced by" (P1366)] / immediately following item in a series of which the subject ... replaced, e.g. political offices, use "replaced by" (P1366)]
4. follows (wd:P155 as p/wdt, matched via is after), also known as before was, comes after, is after, preceded by, predecessor, etc.: immediately prior item in a series of which the subject is a ... item, e.g. political offices, use "replaces" (P1365)] / immediately prior item in a series of which the subject is a ... item, e.g. political offices, use "replaces" (P1365)] / immediately prior item in a series of which the subject is a ... item, e.g. political offices, use "replaces" (P1365)] / immediately prior item in a series of which the subject is a ... item, e.g. political offices, use "replaces" (P1365)]
5. has part(s) (wd:P527 as p/wdt, matched via contains), also known as amalgamation of, assembled from, assembled out of, composed of, comprised of, etc.: part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670). / part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670). / part of this subject, also valuable subclass or exemplar. Inverse property of "part of".
6. instance of (wd:P31 as p/wdt, matched via type), also known as example of, has type, is a, is an, is of type, etc.: type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform / that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform)
7. country (wd:P17 as p/wdt, matched via state), also known as host country, land, sovereign state, state, P17: sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / sovereign state that this item is in (not to be used for human beings) / is subproperty of located in the administrative territorial entity
8. image (wd:P18 as p/wdt, matched via still), also known as camera picture, Commons image, drawing, File:, graph, etc.: image of relevant illustration of the subject; if available, ... only images which exist on Wikimedia Commons are acceptable / image of relevant illustration of the subject; if available, ... only images which exist on Wikimedia Commons are acceptable / image of relevant illustration of the subject; if available, ... map, flag image, signature image, logo image, collage image) / image of relevant illustration of the subject; if available, ... map, flag image, signature image, logo image, collage image)
9. winner (wd:P1346 as p/wdt, matched via titleholder), 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
10. Commons category (wd:P373 as p/wdt, matched via category Commons), also known as category Commons, category on Commons, category on Wikimedia Commons, category Wikipedia Commons, commonscat, etc.: name of the Wikimedia Commons category containing files related to this item (without the prefix "Category:") / name of the Wikimedia Commons category containing files related to this item (without the prefix "Category") / name of the Wikimedia Commons category containing files related to this item (without the prefix "Category")

No other items found

[Assistant]
I see that `wdt:P585` (point in time) is a candidate for the date. However, it is a qualifier property, not a direct property. This means the date might be stored as a qualifier on a statement about the Super Bowl.

### Step 18: Check for statements with qualifiers on Super Bowl XLVIII
I'll check if the Super Bowl event has a statement with `wdt:P585` as a qualifier. I'll use the statement pattern: `p:P1923` (participating team) with `ps:P1923` (statement value) and `pq:P585` (qualifier for date).

Let me query for the date qualifier on the participating team statement for Super Bowl XLVIII.

execute

SELECT ?year WHERE { wd:Q1190093 p:P1923 ?stmt . ?stmt ps:P1923 wd:Q221878 . ?stmt pq:P585 ?year . }

[Assistant]
Still no results. This suggests that the date might not be stored as a qualifier on the `P1923` statement. Alternatively, the date might be stored directly on the Super Bowl event using `wdt:P585`.

Let me check if `wdt:P585` is directly attached to the Super Bowl event.

SELECT ?year WHERE { wd:Q1190093 wdt:P585 ?year . }

[Assistant]
Perfect! I found the date. Super Bowl XLVIII (`wd:Q1190093`) took place on `2014-02-02T00:00:00Z`, which corresponds to the year **2014**.

Now I'll check Super Bowl XL (`wd:Q7642193`) for its date.

SELECT ?year WHERE { wd:Q7642193 wdt:P585 ?year . }

[Assistant]
Wait — this is incorrect. Super Bowl XL was in **2006**, not 2016. This suggests there might be an error in the data or I have the wrong QID.

Let me verify the correct QID for Super Bowl XL (2006). I'll search again.

Question: Super Bowl XL

Top 10 entity alternatives:
1. Super Bowl XL (wd:Q904928), also known as 2006 Super Bowl, Super Bowl 2006, Super Bowl 40: 2006 edition of the Super Bowl / is instance of Super Bowl
2. Super Bowl XLVII (wd:Q126291), also known as 2013 Super Bowl, Harbaugh Bowl, Harbowl, Super Bowl 2013, Super Bowl 47, etc.: 2013 edition of the Super Bowl / is instance of Super Bowl
3. Super Bowl XLIX (wd:Q1710023), also known as 2015 Super Bowl, Super Bowl 2015, Super Bowl 49: 2015 edition of the Super Bowl / is instance of Super Bowl
4. Super Bowl XLVI (wd:Q849079), also known as 2012 Super Bowl, Super Bowl 2012, Super Bowl 46: 2012 edition of the Super Bowl / is instance of Super Bowl
5. Super Bowl XLV (wd:Q371433), also known as 2011 Super Bowl, Super Bowl 2011, Super Bowl 45: 2011 edition of the Super Bowl / 2011 edition of the Super Bowl / is instance of Super Bowl
6. Super Bowl XLI (wd:Q597607), also known as 2007 Super Bowl, Super Bowl 2007, Super Bowl 41: 2007 edition of the Super Bowl / is instance of Super Bowl
7. Super Bowl XLII (wd:Q597314), also known as 2008 Super Bowl, Super Bowl 2008, Super Bowl 42: 2008 edition of the Super Bowl / is instance of Super Bowl
8. Super Bowl XLIV (wd:Q268882), also known as 2010 Super Bowl, Super Bowl 2010, Super Bowl 44: 2010 edition of the Super Bowl / is instance of Super Bowl
9. Super Bowl XLIII (wd:Q853768), also known as 2009 Super Bowl, Super Bowl 2009, Super Bowl 43: 2009 edition of the Super Bowl / is instance of Super Bowl
10. Super Bowl XLVIII (wd:Q1190093), also known as 2014 Super Bowl, Super Bowl 2014, Super Bowl 48: 2014 edition of the Super Bowl / is instance of Super Bowl

[Assistant]
I found the correct QID for Super Bowl XL (2006): `wd:Q904928`. The previous QID (`wd:Q7642193`) was for Super Bowl LI (2017). I made an error earlier.

Now I'll check the date for Super Bowl XL (`wd:Q904928`).

SELECT ?year WHERE { wd:Q904928 wdt:P585 ?year . }

[Assistant]
Perfect! Now I have the correct dates:

- **Super Bowl XL (2006)**: `wd:Q904928` → `2006-02-05T00:00:00Z` → **2006**
- **Super Bowl XLVIII (2014)**: `wd:Q1190093` → `2014-02-02T00:00:00Z` → **2014**

The Seattle Seahawks appeared in the Super Bowl in **2006** and **2014**.

### Final Step: Construct the answer
The Seattle Seahawks went to the Super Bowl in **2006** and **2014**.

I'll now provide the final SPARQL query and answer.

answer

SELECT ?year WHERE { VALUES ?superBowl { wd:Q904928 wd:Q1190093 } ?superBowl wdt:P1923 wd:Q221878 . ?superBowl wdt:P585 ?year . }

Answer: The Seattle Seahawks went to the Super Bowl in 2006 and 2014.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?team ?teamLabel ?date WHERE {
  wd:Q296403 p:P54 ?stmt .
  ?stmt ps:P54 ?team .
  OPTIONAL {
    ?stmt pq:P585 ?date
  }
  ?team rdfs:label ?teamLabel .
  FILTER ( LANG( ?teamLabel ) = "en" )
}
ORDER BY DESC ( ?date )

Using entities:
- Lamar Odom (wd:Q296403), also known as Candy Man, Lamar Joseph Odom, L.O., The Goods: has occupation basketball player / is instance of human / American basketball player

Using properties:
- member of sports team (wd:P54 as p/ps), also known as club played for, member of team, of team, part of team, played for, etc.: is subproperty of member of / sports teams or clubs that the subject currently represents or formerly represented / sports teams or clubs that the subject currently represents or formerly represented / sports teams or clubs that the subject represents or represented
- point in time (wd:P585 as pq), also known as as of, at time, by date, date, during, etc.: date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241) / time and date something took place, existed or a statement was true / time and date something took place, existed or a statement was true / time and date something took place, existed or a statement was true

Got 6 rows and 3 columns:
| team                                             | teamLabel                                    | date                                |
| ------------------------------------------------ | -------------------------------------------- | ----------------------------------- |
| Saski Baskonia (wd:Q54927)                       | Saski Baskonia (lang:en)                     | 2014-01-01T00:00:00Z (xsd:dateTime) |
| Los Angeles Lakers (wd:Q121783)                  | Los Angeles Lakers (lang:en)                 |                                     |
| Dallas Mavericks (wd:Q132893)                    | Dallas Mavericks (lang:en)                   |                                     |
| Miami Heat (wd:Q169138)                          | Miami Heat (lang:en)                         |                                     |
| Rhode Island Rams men's basketball (wd:Q7320948) | Rhode Island Rams men's basketball (lang:en) |                                     |
| Los Angeles Clippers (wd:Q976396)                | Los Angeles Clippers (lang:en)               |                                     |

Answer: Lamar Odom is retired and not playing for any team this year. His last professional team was Saski Baskonia in 2014.

Lamar Odom is retired and not playing for any team this year. His last professional team was Saski Baskonia in 2014.

SPARQL query over wikidata:
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?team ?teamLabel ?date WHERE {
  wd:Q296403 p:P54 ?stmt .
  ?stmt ps:P54 ?team .
  OPTIONAL {
    ?stmt pq:P585 ?date
  }
  ?team rdfs:label ?teamLabel .
  FILTER ( LANG( ?teamLabel ) = "en" )
}
ORDER BY DESC ( ?date )

Using entities:
- Lamar Odom (wd:Q296403), also known as Candy Man, Lamar Joseph Odom, L.O., The Goods: has occupation basketball player / is instance of human / American basketball player

Using properties:
- member of sports team (wd:P54 as p/ps), also known as club played for, member of team, of team, part of team, played for, etc.: is subproperty of member of / sports teams or clubs that the subject currently represents or formerly represented / sports teams or clubs that the subject currently represents or formerly represented / sports teams or clubs that the subject represents or represented
- point in time (wd:P585 as pq), also known as as of, at time, by date, date, during, etc.: date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241) / time and date something took place, existed or a statement was true / time and date something took place, existed or a statement was true / time and date something took place, existed or a statement was true

Execution result:
Got 6 rows and 3 columns:
| team                                             | teamLabel                                    | date                                |
| ------------------------------------------------ | -------------------------------------------- | ----------------------------------- |
| Saski Baskonia (wd:Q54927)                       | Saski Baskonia (lang:en)                     | 2014-01-01T00:00:00Z (xsd:dateTime) |
| Los Angeles Lakers (wd:Q121783)                  | Los Angeles Lakers (lang:en)                 |                                     |
| Dallas Mavericks (wd:Q132893)                    | Dallas Mavericks (lang:en)                   |                                     |
| Miami Heat (wd:Q169138)                          | Miami Heat (lang:en)                         |                                     |
| Rhode Island Rams men's basketball (wd:Q7320948) | Rhode Island Rams men's basketball (lang:en) |                                     |
| Los Angeles Clippers (wd:Q976396)                | Los Angeles Clippers (lang:en)               |                                     |

[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.

Available knowledge graphs:
- wikidata at http://localhost:7001 with prefix index for entities and similarity index for properties, and notes:
  - P106 = occupation. Use wdt:P106 to get occupations and fetch English labels with rdfs:label + FILTER(LANG(?label)="en"). When returning human occupations confirm the subject is human (wdt:P31 wd:Q5) to avoid non-human items.
  - Population (P1082) and tabular (P4179): use wdt:P1082 for quick/direct values; for time-series/point-in-time use p:P1082 + ps:P1082 + pq:P585 and ORDER BY pq:P585 DESC. Inspect statement qualifiers (e.g., 'applies to part') and prov:wasDerivedFrom references (pr:P854 etc.) to detect city-proper vs metro/prefecture scopes before using values.
  - Common person properties: P31 (instance of human Q5), P106 (occupation), P569 (date of birth), P19 (place of birth), P27 (country of citizenship), P21 (sex/gender), P166 (award received). Use wdt: for direct values when possible.
  - P17 (country) can be incomplete/misleading for places (historical/overseas tags). To get modern cities in a country combine: instance-of city (P31=Q515) + wdt:P17 OR use wdt:P131* to find an admin parent whose wdt:P17 = the country. Also cross-check coordinates (P625) or admin hierarchy to spot outliers.
  - When filtering by date of birth (P569) use xsd:dateTime comparisons (e.g. >= "1900-01-01T00:00:00Z"^^xsd:dateTime). Be aware many items have year-only or imprecise dates and coverage is biased toward notable/public figures (sportspeople, politicians, artists).
  - To retrieve qualifiers (e.g., award year) use the statement/qualifier pattern: p:Pxxx / ps:Pxxx / pq:P585. Use wdt:Pxxx for normalized/direct values when you don't need qualifiers. Example: p:P166 + pq:P585 gives award year.
  - To get a person's occupations: use wdt:P106 for direct/normalized values and rdfs:label for human-readable names (FILTER(LANG(...))). Example: wd:Q... wdt:P106 ?occ . ?occ rdfs:label ?occLabel . FILTER(LANG(?occLabel)="en").
  - P166 = award received. Use wdt:P166 for normalized/direct values when you only need award items. To get award years or qualifiers use p:P166 / ps:P166 / pq:P585. Many statements lack pq:P585 — use OPTIONAL { ?stmt pq:P585 ?date } and ORDER BY DESC(?date). When listing award winners, filter ?person wdt:P31 wd:Q5 to ensure humans.
  - Population time-series pattern: wd:Q... p:P1082 ?stmt . ?stmt ps:P1082 ?pop . OPTIONAL { ?stmt pq:P585 ?date } . ORDER BY DESC(?date). pq:P585 is the point-in-time qualifier. IMPORTANT: time-series may mix scopes (city proper vs metro) — e.g., Tokyo has a 2016 entry ~38,140,000 likely metro vs smaller city figures. Inspect qualifiers/references for scope before use.
  - Use wdt:P131* to traverse the admin hierarchy and compare wdt:P17 on the place vs an admin parent to detect historical/colonial country assignments. When mismatches appear, inspect the admin parent's instance-of (P31), labels, qualifiers and references to interpret the historical scope.
  - wdt:P106 often yields multiple occupations for a person. Use GROUP_CONCAT(DISTINCT ?occLabel; separator=", ") or return multiple rows. Always fetch labels with rdfs:label + FILTER(LANG(?label)="en") to get readable occupation names.
  - When a search_entity returns multiple hits (person vs sculpture vs memorial), confirm you selected the human/statements by checking wdt:P31 (instance of) and relevant wdt: properties (e.g., wdt:P106). This avoids using a non-human QID by mistake.
  - search_autocomplete can be constrained with a SPARQL pattern containing ?search (e.g., SELECT * WHERE { ?search wdt:P31 wd:Q5 }). Use constraints to focus results (e.g., humans) and avoid ambiguous fallbacks; if it returns no results, fallback to search_entity and verify wdt:P31.
  - Use search_property_of_entity to find relevant properties for an entity (e.g., 'award' -> P166) and search_object_of_property to discover candidate objects (e.g., 'physicist' for P106). This reduces guessing P/Q ids and surfaces qualifiers.
  - Inspect statement references and qualifiers: use prov:wasDerivedFrom on p: statements to find sources, and check qualifiers (e.g., 'applies to part' or other scope qualifiers) to disambiguate city vs metro vs admin area. Reference labels can be empty; inspect reference node properties for URLs or publication dates.

Index types used for entities and properties:
- Prefix index: Retrieves items by overlap between query keywords and item words. The query keywords can match item words exactly or as prefixes.
- Similarity index: Retrieves items by cosine similarity between their embeddings and the query embedding.

General notes across knowledge graphs:
- Use rdfs:label + FILTER(LANG(?label)="en") for labels; avoid SERVICE wikibase:label. Use wdt:Pxxx for normalized/direct values when qualifiers aren't needed. Use p:Pxxx / ps:Pxxx / pq:Pxxx to access statement qualifiers (e.g., award year via pq:P585). When dates matter, prefer xsd:dateTime and watch for year-only precision.
- Practical query patterns: use rdfs:label + FILTER(LANG(...)) for labels. Use wdt:Pxxx for direct/normalized values when qualifiers aren't needed. Use p:Pxxx / ps:Pxxx / pq:Pxxx to access qualifiers (dates via pq:P585). For dates use xsd:dateTime and expect year-only precision. For places: combine P17 with P131 or coordinate (P625) filters to avoid historical/overseas mismatches.
- Use OPTIONAL for pq: qualifiers (e.g., pq:P585), sort by qualifier (ORDER BY pq:P585 DESC) to prefer recent values. Use GROUP_CONCAT to combine multiple labels/values in one row. Watch for typed literals (xsd:dateTime, xsd:decimal) when filtering or sorting.
- Before querying, use search_entity to resolve human-friendly names to wd:Q identifiers and verify instance-of (e.g., check wdt:P31 = wd:Q5 for humans) to avoid ambiguous matches. Prefer the top match but programmatically confirm P31 before using its data.
- Use search_property to confirm property identifiers (e.g., "country" -> P17) before embedding them in queries. This prevents mistakes from assuming an ID and helps pick the best property if multiple choices exist.
- search_autocomplete can fall back to an unconstrained search or error when there are too many candidates. If this happens (e.g., "more than the maximum supported number of subject candidates"), retry with narrower constraints such as instance-of (wdt:P31), additional type filters, or short prefixes to reduce the candidate set; otherwise fallback to search_entity and verify wdt:P31.
- Use list(...) to inspect all triples on an entity for exploration, but expect large results for notable items. Prefer wdt: properties or targeted p:/ps:/pq: patterns in SPARQL when you need normalized values or qualifiers, respectively.
- Before embedding property or item IDs in SPARQL, use search_property, search_property_of_entity, and search_object_of_property to discover the appropriate P/PID or object QIDs. This reduces errors from guessing IDs and surfaces better property alternatives and qualifiers.
- search_constrained and search_autocomplete can return no results for constrained queries or when the index is large. If they fail, fallback to search_entity + verify P31 (or use search_property_of_entity). Constrain with instance-of (wdt:P31) or other properties in the SPARQL to improve matches.
- When selecting awards by year, prefer xsd:dateTime range filters (e.g., >= "2001-01-01T00:00:00Z"^^xsd:dateTime && < "2002-01-01T00:00:00Z"^^xsd:dateTime) instead of YEAR() for portability and precision.
- When selecting award winners via wdt:P166, filter ?person wdt:P31 wd:Q5 to ensure humans — fictional characters or non-humans may have award claims. If you need award years use p:P166 / ps:P166 / pq:P585 and OPTIONAL { ?stmt pq:P585 ?year } to retrieve qualifier years.
- Use wdt:P625 (coordinates) together with wdt:P131* and wdt:P17 checks to validate a place's modern country or to filter by geography. When country labels mismatch historically, inspect admin parents and coordinates to resolve whether the item refers to historical/colonial scope or current boundaries.
- Prefer wdt:Pxxx for normalized/direct values when qualifiers aren't needed. Use p:Pxxx / ps:Pxxx / pq:Pxxx to access qualifiers (e.g., pq:P585 for award year). Always fetch labels with rdfs:label + FILTER(LANG(?label) = "en").
- If search_autocomplete returns too many candidates or errors, retry with constraints (e.g., SELECT * WHERE { ?search wdt:P31 wd:Q5 }) or narrower query text. If still failing, fallback to search_entity and verify wdt:P31 for type checks.
- For award-year queries use p:P166 / ps:P166 / pq:P585 to access award statements and year qualifiers. Filter by xsd:dateTime ranges (e.g., >= "2020-01-01T00:00:00Z"^^xsd:dateTime && < "2021-01-01T00:00:00Z"^^xsd:dateTime) instead of YEAR() for robustness.
- Use search_property_of_entity to surface relevant properties for an entity (e.g., 'birth' -> P569/P19). list(...) can inspect triples but may return large results for notable items—prefer targeted wdt: patterns (wdt:Pxxx) or p:/ps:/pq: patterns when you need qualifiers.

SPARQL prefixes for use in function calls:
- bd: <http://www.bigdata.com/rdf#
- cc: <http://creativecommons.org/ns#
- data: <https://www.wikidata.org/wiki/Special:EntityData/
- dc: <http://purl.org/dc/elements/1.1/
- dct: <http://purl.org/dc/terms/
- foaf: <http://xmlns.com/foaf/0.1/
- geo: <http://www.opengis.net/ont/geosparql#
- geof: <http://www.opengis.net/def/function/geosparql/
- gn: <http://www.geonames.org/ontology#
- hint: <http://www.bigdata.com/queryHints#
- 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/
- qb: <http://purl.org/linked-data/cube#
- 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/
- void: <http://rdfs.org/ns/void#
- 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#

Additional rules to follow:
- 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 ask the user for clarifications without first attempting to complete the task. If the task input is incomplete or ambiguous, try to make reasonable assumptions and document them.
- Do not use "SERVICE wikibase:label { bd:serviceParam wikibase:language ..." in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
- Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
- Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] who is lamar odom playing for this year?

[Assistant]
To determine who Lamar Odom is playing for this year, we need to find his current team or recent team affiliation in the context of basketball. Lamar Odom is a former professional basketball player, so we need to check his career history, particularly his most recent team.

Steps:
1. Search for Lamar Odom in Wikidata to get his entity identifier.
2. Check his occupation (P106) to confirm he is a basketball player.
3. Look for properties related to his team affiliations (e.g., P54 for "member of sports team").
4. Determine his most recent team by checking the latest team he played for, possibly using qualifiers like point-in-time (P585) if available.

Let's start by searching for Lamar Odom in Wikidata.

Question: Lamar Odom

Top 10 entity alternatives:
1. Lamar Odom (wd:Q296403), also known as Candy Man, Lamar Joseph Odom, L.O., The Goods: has occupation basketball player / American basketball player / is instance of human
2. Lamar Odom: Reborn (wd:Q130267969), also known as Lamar Odom Re/born, Lamar Odom Reborn: 2023 American documetary about addiction and recovery / is instance of film
3. Hedy Lamarr (wd:Q49034, matched via Hedy Lamar), also known as Hedi Lamarr, Hedwig Eva Maria Kiesler, Hedwig Eva Maria lolas, Hedwig Kiesler, Hedwig Mandl, etc.: Austrian-American actress and co-inventor of an early ... spectrum communications and frequency hopping (1914-2000) / has occupation autobiographer / has occupation film producer / has occupation Film producer / has occupation screenwriter / has occupation entertainer / has occupation film actor / has occupation musician / has occupation inventor / has occupation actor / has occupation Model / has occupation model / is instance of human
4. Kendrick Lamar (wd:Q130798), also known as K.Dot, Kendrick Duckworth, Kendrick Lamar Duckworth, King Kendrick, Oklama: American rapper and songwriter (born 1987) / has occupation record producer / has occupation philanthropist / has occupation film director / has occupation entrepreneur / has occupation Entrepreneur / American rapper (born 1987) / has occupation pop singer / has occupation songwriter / has occupation director / has occupation rapper / has occupation singer / is instance of human
5. Khloé Kardashian (wd:Q231270, matched via Khloe Odom), also known as Khloe Alexandra Kardashian, Khloé Alexandra Kardashian, Khloé Alexandra Kardashian Odom, Khloe Kardashian, Khloe Kardashian Odom, etc.: American media personality,influencer, businesswoman (born 1984) / has occupation radio personality / has occupation fashion designer / has occupation television actor / has occupation film producer / has occupation Film producer / has occupation Entrepreneur / has occupation entrepreneur / has occupation manufacturer / has occupation film actor / has occupation socialite / has occupation celebrity / has occupation novelist / has occupation writer / has occupation actor / has occupation model / has occupation Model / is instance of human
6. Lamar County (wd:Q113313), also known as Lamar County, Texas, Lamar County, TX: is instance of county of Texas / county in Texas, United States / is instance of county
7. Lamar County (wd:Q493049), also known as Lamar County, GA, Lamar County, Georgia: is instance of county of Georgia / county in Georgia, United States / county in Georgia, USA / county in Georgia, USA
8. Lamar County (wd:Q505317), also known as Lamar County, AL, Lamar County, Alabama: is instance of county of Alabama / county in Alabama, United States / county in Alabama, United States / county in Alabama, United States
9. Lamar County (wd:Q490896), also known as Lamar County, Mississippi, Lamar County, MS: is instance of county of Mississippi / county in Mississippi, United States
10. Lamar (wd:Q572172), also known as Lamar, Missouri, Lamar, MO: is instance of city in the United States / is instance of city of the United States / city in Missouri, United States / is instance of county seat

[Assistant]
The top result for "Lamar Odom" is wd:Q296403, which is the correct entity for the former basketball player. Let's confirm his occupation and then look for his team affiliations.

We'll now check his occupation (P106) and instance of (P31) to confirm he is a human and a basketball player.

list

wd:Q296403

[Assistant]
Good, Lamar Odom is confirmed as a human (wd:Q5). Now let's check his occupation (P106) to confirm he is a basketball player.

wd:Q296403

[Assistant]
Lamar Odom's occupation is confirmed as a basketball player (wd:Q3665646). Now, let's look for his team affiliations using the property "member of sports team" (P54). We'll check which teams he played for and if there is a point-in-time qualifier (P585) to determine his most recent team.

wd:Q296403

Got 6 rows and 3 columns:
| subject                 | property                        | object                                           |
| ----------------------- | ------------------------------- | ------------------------------------------------ |
| Lamar Odom (wd:Q296403) | member of sports team (wdt:P54) | Los Angeles Lakers (wd:Q121783)                  |
| Lamar Odom (wd:Q296403) | member of sports team (wdt:P54) | Dallas Mavericks (wd:Q132893)                    |
| Lamar Odom (wd:Q296403) | member of sports team (wdt:P54) | Miami Heat (wd:Q169138)                          |
| Lamar Odom (wd:Q296403) | member of sports team (wdt:P54) | Los Angeles Clippers (wd:Q976396)                |
| Lamar Odom (wd:Q296403) | member of sports team (wdt:P54) | Saski Baskonia (wd:Q54927)                       |
| Lamar Odom (wd:Q296403) | member of sports team (wdt:P54) | Rhode Island Rams men's basketball (wd:Q7320948) |

[Assistant]
Lamar Odom played for several teams during his career, including the Los Angeles Lakers, Dallas Mavericks, Miami Heat, Los Angeles Clippers, Saski Baskonia, and Rhode Island Rams. However, we need to determine his most recent team. Since the direct property `wdt:P54` does not include qualifiers like date (P585), we need to check the statement-level data using `p:P54` to access qualifiers.

Let's query the statement-level data to find the most recent team with a point-in-time qualifier (P585).

execute

SELECT ?team ?teamLabel ?date WHERE {
  wd:Q296403 p:P54 ?stmt .
  ?stmt ps:P54 ?team .
  OPTIONAL { ?stmt pq:P585 ?date }
  SERVICE wikibase:label { bd:serviceParam wikibase:language "en" }
} ORDER BY DESC(?date)

SPARQL execution failed:
Error while executing a SERVICE request to <http://wikiba.se:80/ontology#label>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '
<title>301 Moved Permanently</title>

301 Moved Permanently'

[Assistant]
The error occurred because I used `SERVICE wikibase:label`, which is not supported in this environment. I need to replace it with `rdfs:label` and filter for English labels manually.

Let me rewrite the query without using `SERVICE wikibase:label` and instead use `rdfs:label` with a language filter.

SELECT ?team ?teamLabel ?date WHERE {
  wd:Q296403 p:P54 ?stmt .
  ?stmt ps:P54 ?team .
  OPTIONAL { ?stmt pq:P585 ?date }
  ?team rdfs:label ?teamLabel .
  FILTER(LANG(?teamLabel) = "en")
} ORDER BY DESC(?date)

Got 6 rows and 3 columns:
| team                                             | teamLabel                                    | date                                |
| ------------------------------------------------ | -------------------------------------------- | ----------------------------------- |
| Saski Baskonia (wd:Q54927)                       | Saski Baskonia (lang:en)                     | 2014-01-01T00:00:00Z (xsd:dateTime) |
| Los Angeles Lakers (wd:Q121783)                  | Los Angeles Lakers (lang:en)                 |                                     |
| Dallas Mavericks (wd:Q132893)                    | Dallas Mavericks (lang:en)                   |                                     |
| Miami Heat (wd:Q169138)                          | Miami Heat (lang:en)                         |                                     |
| Rhode Island Rams men's basketball (wd:Q7320948) | Rhode Island Rams men's basketball (lang:en) |                                     |
| Los Angeles Clippers (wd:Q976396)                | Los Angeles Clippers (lang:en)               |                                     |

[Assistant]
From the query results, we can see that Lamar Odom's most recent team with a point-in-time qualifier (P585) is **Saski Baskonia**, with the date **2014-01-01T00:00:00Z**. The other teams do not have qualifiers, so we assume they are from earlier in his career.

Lamar Odom retired from professional basketball after his stint with Saski Baskonia in 2014. He has not played for any team since then.

Therefore, Lamar Odom is not playing for any team this year because he is retired.

Final answer: Lamar Odom is retired and not playing for any team this year. His last professional team was Saski Baskonia in 2014.

answer

SELECT ?team ?teamLabel ?date WHERE {
  wd:Q296403 p:P54 ?stmt .
  ?stmt ps:P54 ?team .
  OPTIONAL { ?stmt pq:P585 ?date }
  ?team rdfs:label ?teamLabel .
  FILTER(LANG(?teamLabel) = "en")
} ORDER BY DESC(?date)

Answer: Lamar Odom is retired and not playing for any team this year. His last professional team was Saski Baskonia in 2014.