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Mount Roraima (Spanish: Monte Roraima; Tepuy Roraima; Cerro Roraima; Portuguese: Monte Roraima) is the highest of the Pacaraima chain of tepuis (table-top mountain) or plateaux in South America. It is located at the junction of Brazil, Guyana and Venezuela. A characteristic, large, flat-topped mountain surrounded by cliffs 400–1,000 m (1,300–3,300 ft)…
The analysis highlights Geography, Ecology and Geology as prominent areas in the source structure around Mount Roraima.
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.
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The extracted context around Mount Roraima shows recurring relationship patterns in the source. For example, Mount Roraima → Although, British, British Guiana, Carl Ferdinand Appun, Charles Barrington Brown, December, European, Everard, German, Guyana Plateau, Harry Perkins, Henry Whiteley, Pemón, Robert Hermann Schomburgk, Royal Geographical Society, Royal Geographical Society-funded, South America, Spanish, Subsequently, The English Another extracted example is Mount Roraima → Ackermann, Brazil, British Guiana, Camp Life, Canoe, FallsMount Roraima, George Barnard, Guiana, Guyana, Mount RoraimaRoraima TripointThe Roraima, Mount RoraimaTripoint, Painters Charles Bentley, Published, Remarkable Range, Robert, Sandstone Mountains, Schomburgk, Venezuela. 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.
roraima mount mountain guyana ft plateau south cliffs elevation venezuela species high top endemic brazil flora 000 located cliff summit
TTTA extracted 75 structured relationships around Mount Roraima. Examples in this analysis include Mount Roraima → Countries → Brazil and Mount Roraima → Countries → Guyana. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Mount Roraima | Countries | Brazil | 1.00 | infobox |
| Mount Roraima | Countries | Guyana | 1.00 | infobox |
| Mount Roraima | Countries | Venezuela | 1.00 | infobox |
| Mount Roraima | Easiest route | Hiking path | 1.00 | infobox |
| Mount Roraima | Elevation | 2,810 m (9,220 ft) | 1.00 | infobox |
| Mount Roraima | First ascent | 1884, led by Sir Everard im Thurn and accompanied by Harry Inniss Perkins and several natives: 497 [a][b] | 1.00 | infobox |
| Mount Roraima | Listing | Country high point | 1.00 | infobox |
| Mount Roraima | Listing | Ultra prominent peak | 1.00 | infobox |
| Mount Roraima | Location | Border region between Brazil (Roraima), Guyana (Cuyuni-Mazaruni) and Venezuela (Bolívar) | 1.00 | infobox |
| Mount Roraima | Mountain type | Plateau | 1.00 | infobox |
| Mount Roraima | Parent range | Pacaraima Mountains, Guayana Highlands | 1.00 | infobox |
| Mount Roraima | Prominence | 2,338 m (7,671 ft) | 1.00 | infobox |
| Mount Roraima | is a | flat-topped mountain | 0.90 | text |
The concept neighborhoods around Mount Roraima bring nearby vocabulary together. In this analysis, examples include Roraima, Side and Guyana. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Mount Roraima, one of the stronger structural bridges in this analysis connects Mount Roraima with Ecology. 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 Mount Roraima to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Geography, Ecology & Geology, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Mount Roraima · EN edition · Analysis: TopicsToTalkAbout