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The Erft (pronounced ⓘ) is a river in North Rhine-Westphalia, Germany. It flows through the foothills of the Eifel, and joins the Lower Rhine (left tributary). Its origin is near Nettersheim, and its mouth in Neuss-Grimlinghausen south of the Josef Cardinal Frings Bridge. The river is 106.6 kilometres (66.2 mi) long, which is significantly shorter than…
The analysis highlights River Course, Gallery and Overview as prominent areas in the source structure around Erft.
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 Erft shows recurring relationship patterns in the source. For example, Erft → Bad Münstereifel, Bedburg, Bergheim, Erftstadt, Euskirchen, Grevenbroich, Kerpen, Nettersheim, The, Weilerswist Another extracted example is Erft → GrevenbroichMouth, HolzmülheimThe Erft, Neuss-Grimlinghausen, Rhine, Source. 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.
river rhine near mouth neuss-grimlinghausen erftstadt mw-parser-output north mi bergheim neuss grevenbroich germany flows references reaches source font-size 85 rhine-westphalia
TTTA extracted 36 structured relationships around Erft. Examples in this analysis include Erft → Basin size → 1,837.915 km2 (709.623 sq mi) and Erft → Country → Germany. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Erft | Basin size | 1,837.915 km2 (709.623 sq mi) | 1.00 | infobox |
| Erft | Country | Germany | 1.00 | infobox |
| Erft | Landmarks | Cities: Neuss | 1.00 | infobox |
| Erft | Landmarks | Large towns: Euskirchen, Erftstadt, Bedburg, Bergheim, Grevenbroich, Kerpen | 1.00 | infobox |
| Erft | Landmarks | Small towns: Bad Münstereifel | 1.00 | infobox |
| Erft | Length | 106.6 km (66.2 mi) (incl. Kuhbach) | 1.00 | infobox |
| Erft | Progression | .mw-parser-output .tfd-dated{font-size:85%}.mw-parser-output .tfd-default{border-bottom:1px solid var(--border-color-base,#a2a9b1);text-align:center}.mw-parser-output .tfd-tiny{… | 1.00 | infobox |
| Erft | Reference no. | DE: 274 | 1.00 | infobox |
| Erft | State | North Rhine-Westphalia | 1.00 | infobox |
| Erft | • average | 16.4 m3/s (580 cu ft/s) | 1.00 | infobox |
| Erft | • 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 |
| Erft | • coordinates | 51°11′04″N 6°43′54″E / 51.18444°N 6.73167°E / 51.18444; 6.73167 | 1.00 | infobox |
| Erft | • elevation | 527 m above sea level (NHN) | 1.00 | infobox |
| Erft | • elevation | 31 m above sea level (NHN) | 1.00 | infobox |
| Erft | • left | Veybach, Rotbach, Neffelbach | 1.00 | infobox |
| Erft | • location | Southeast of Engelgau as the Kuhbach Signed source of the Erft near Holzmülheim | 1.00 | infobox |
| Erft | • location | Rhine near Neuss-Grimlinghausen | 1.00 | infobox |
| Erft | • location | at Neubrück gauge | 1.00 | infobox |
| Erft | • maximum | Average high: 31.3 m3/s (1,110 cu ft/s) Record high: 46.6 m3/s (1,650 cu ft/s) (in 04.06.1984) | 1.00 | infobox |
| Erft | • minimum | Record low: 5.15 m3/s (182 cu ft/s) (in 16.07.2007) Average low: 10.4 m3/s (370 cu ft/s) | 1.00 | infobox |
| Erft | • right | Swist, Gillbach, Norfbach | 1.00 | infobox |
The concept neighborhoods around Erft bring nearby vocabulary together. In this analysis, examples include Mouth, Near and Rhine. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Erft, one of the stronger structural bridges in this analysis connects Erft with River Course. 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 Erft to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as River Course, Gallery & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Erft · EN edition · Analysis: TopicsToTalkAbout