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Lisvane (Welsh: Llys-faen) is a community in the north of Cardiff, the capital of Wales, located 5 miles (8 km) north of the city centre. Lisvane is generally considered to be one of the wealthiest residential areas of Wales, with many properties worth in excess of £1 million. Lisvane had 3,319 residents in 2001 and has about 1,700 dwellings, a local…
The analysis highlights History, Geography, Community and Measurement as prominent areas in the source structure around Lisvane.
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 Lisvane shows recurring relationship patterns in the source. For example, Lisvane → Alun Hoddinott, Attended Llysfaen Primary School, Bank, Baron Lisvane, Cardiff City, Clerk, Commons, Dave Edmunds, Gwilym Jones, Hodge, House, Jane Hodge Foundation, Jersey, Jimmy Floyd Hasselbaink, Joe Jacobson, John Tabatabai, Luke Rowe, Member, Parliament, Rhys Griffiths Another extracted example is Lisvane → Bristol Channel, Cardiff, Change, Cold War, Corps, Cuban Missile Crisis, During World War II, German Luftwaffe, Graig, In, Lisvane's, Options, Ordnance Survey's, OS Grid Ref, ROC, Royal Observer Corps, ST, The, The Lisvane, UK. 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.
cardiff village community area ward llanishen graig war road wales st club years house north welsh local thornhill council public
TTTA extracted 200 structured relationships around Lisvane. Examples in this analysis include Lisvane → Ambulance → Welsh and Lisvane → Community → Lisvane. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Lisvane | Ambulance | Welsh | 1.00 | infobox |
| Lisvane | Community | Lisvane | 1.00 | infobox |
| Lisvane | Country | Wales | 1.00 | infobox |
| Lisvane | Dialling code | +44-29 | 1.00 | infobox |
| Lisvane | Fire | South Wales | 1.00 | infobox |
| Lisvane | OS grid reference | ST190830 | 1.00 | infobox |
| Lisvane | Police | South Wales | 1.00 | infobox |
| Lisvane | Population | 3,707 (2011) | 1.00 | infobox |
| Lisvane | Post town | CARDIFF | 1.00 | infobox |
| Lisvane | Postcode district | CF14 | 1.00 | infobox |
| Lisvane | Preserved county | Cardiff | 1.00 | infobox |
| Lisvane | Principal area | Cardiff | 1.00 | infobox |
| Lisvane | Senedd Cymru – Welsh Parliament | Cardiff North | 1.00 | infobox |
| Lisvane | Sovereign state | United Kingdom | 1.00 | infobox |
| Lisvane | UK Parliament | Cardiff North | 1.00 | infobox |
The concept neighborhoods around Lisvane bring nearby vocabulary together. In this analysis, examples include Cardiff, Club and Road. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Lisvane, one of the stronger structural bridges in this analysis connects Lisvane 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 Lisvane to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Geography, Community & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Lisvane · EN edition · Analysis: TopicsToTalkAbout