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Ullevi, sometimes known as Nya Ullevi (Swedish: [(ˈnŷːa) ˈɵ̂lːɛˌviː], New Ullevi), is a multi-purpose stadium in Gothenburg, Sweden. It was built for the 1958 FIFA World Cup, but since then has also hosted the World Allround Speed Skating Championships six times; the 1995 World Championships in Athletics and the 2006 European Athletics Championships; the…
The analysis highlights History, Geography and Regions as prominent areas in the source structure around Ullevi.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Ullevi shows recurring relationship patterns in the source. For example, Ullevi → Additionally, Approximately, Bergakungen, Both, Evenemangsstråket, Gothenburg, Gothenburg Central Station, Gothenburg's, Korsvägen, Liseberg, Museum, Nils Ericson Terminal, North, Public, Scandinavium, South, The, There, Ullevi Norra, Ullevi Södra Another extracted example is Ullevi → August, Billy Joel, Bruce Springsteen, David Bowie's Glass Spider, Elton John, Eriksberg, Face-To-Face Tour, HIStory World Tour, It, Joel, John, June, Michael Jackson, Pink Floyd, Since, Springsteen, The, The Division Bell Tour, Tina Turner, Tour. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
stadium world final also hosted cup tour first sweden concert speedway uefa held championship 000 gothenburg concerts june won july
TTTA extracted 79 structured relationships around Ullevi. Examples in this analysis include Ullevi → Architects → Sten Samuelsson and Fritz Jaenecke and Ullevi → Capacity → 43,000 75,000 for concerts. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Ullevi | Architects | Sten Samuelsson and Fritz Jaenecke | 1.00 | infobox |
| Ullevi | Capacity | 43,000 75,000 for concerts | 1.00 | infobox |
| Ullevi | Coordinates | .mw-parser-output .geo-default,.mw-parser-output .geo-dms,.mw-parser-output .geo-dec{display:inline}.mw-parser-output .geo-nondefault,.mw-parser-output .geo-multi-punct,.mw-pars… | 1.00 | infobox |
| Ullevi | Field size | 105 × 66 m | 1.00 | infobox |
| Ullevi | Location | Gothenburg, Sweden | 1.00 | infobox |
| Ullevi | Opened | 29 May 1958 (1958-05-29) | 1.00 | infobox |
| Ullevi | Operator | Got Event | 1.00 | infobox |
| Ullevi | Owner | Higab | 1.00 | infobox |
| Ullevi | Surface | Grass | 1.00 | infobox |
| Ullevi | related to External links | Ullevi Archived | 0.60 | section |
| Ullevi | related to External links | March | 0.60 | section |
| Ullevi | related to External links | Wayback Machine | 0.60 | section |
The concept neighborhoods around Ullevi bring nearby vocabulary together. In this analysis, examples include World, First and Concert. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Ullevi, one of the stronger structural bridges in this analysis connects Ullevi with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Ullevi to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Geography & Regions, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Ullevi · EN edition · Analysis: TopicsToTalkAbout