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Ilanz (Romansh: Glion) is a former municipality in the district of Surselva in the Swiss canton of the Grisons. The former municipality of Ilanz was congruent with the town of Ilanz. On 1 January 1978, the former municipality of Strada merged into the new municipality of Ilanz. On 1 January 2014, the municipality of Ilanz and the surrounding…
The analysis highlights History, Geography, Community and Standards as prominent areas in the source structure around Ilanz.
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 Ilanz shows recurring relationship patterns in the source. For example, Ilanz → Abbot, Catholic Church, Catholicism, Christianity, Diet, Disentis, Grey League, Grisons, Ilanz Reformation, Iliande, In, Johannes, Protestant, Protestant Reformation, Protestantism, Reformation, Swiss Confederation, Switzerland, The, The Grey League Another extracted example is Ilanz → About, Arab, British Museum, Carolingian, Chur, Grüneck Castle, Ilanz Hoard, In, Lombard, One, Ruine Grüneck, Rätisches Museum, T-shaped, The. 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.
population municipality swiss people former town precipitation surselva church grisons ruschein average glion canton district castrisch luven schnaus sevgein rueun
TTTA extracted 94 structured relationships around Ilanz. Examples in this analysis include Ilanz → Canton → Grisons and Ilanz → Country → Switzerland. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Ilanz | Canton | Grisons | 1.00 | infobox |
| Ilanz | Country | Switzerland | 1.00 | infobox |
| Ilanz | District | Surselva | 1.00 | infobox |
| Ilanz | Elevation (both churches) | 699 m (2,293 ft) | 1.00 | infobox |
| Ilanz | ISO 3166 code | CH-GR | 1.00 | infobox |
| Ilanz | Postal code | 7130 | 1.00 | infobox |
| Ilanz | SFOS number | 3574 | 1.00 | infobox |
| Ilanz | Surrounded by | Castrisch, Flond, Luven, Rueun, Ruschein, Schluein, Schnaus, Sevgein | 1.00 | infobox |
| Ilanz | Time zone | UTC+01:00 (CET) | 1.00 | infobox |
| Ilanz | Website | www.ilanz.ch | 1.00 | infobox |
| Ilanz | • Density | 517/km2 (1,340/sq mi) | 1.00 | infobox |
| Ilanz | • Mayor | Gemeindepräsident/President (list) Aurelio Casanova (as of 2016) | 1.00 | infobox |
| Ilanz | • Summer (DST) | UTC+02:00 (CEST) | 1.00 | infobox |
| Ilanz | • Total | 4.50 km2 (1.74 sq mi) | 1.00 | infobox |
| Ilanz | • Total | 2,327 | 1.00 | infobox |
| Ilanz | is a | market town for the surrounding area | 0.90 | text |
The concept neighborhoods around Ilanz bring nearby vocabulary together. In this analysis, examples include Municipality, Former and Population. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Ilanz, one of the stronger structural bridges in this analysis connects Ilanz with Overview. 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 Ilanz to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Geography, Community & Standards, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Ilanz · EN edition · Analysis: TopicsToTalkAbout