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Alalgar (také psáno jako Alalĝar, jindy Alalngar nebo Alaljar) z Erida byl druhým „předpotopním“ králem Sumeru (asi před 2900 př. n. l.) a podle sumerského královského seznamu vládl 10 sarsů, odpovídajících asi 36 000 let. Po jeho smrti vláda nad Sumerem přešla z Eridu do Bad-tibiry.
The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around Alalgar.
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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See recurring relationship patterns around Alalgar before inspecting the individual extracted relationships.
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alalngar eridu erida sumeru sumerem bad-tibiry psáno jako alalĝar jindy alaljar druhým předpotopním králem 2900 př sumerského královského seznamu vládl
TTTA extracted structured relationships around Alalgar. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|
The concept neighborhoods around Alalgar bring nearby vocabulary together. In this analysis, examples include Alaljar, Alalĝar and Druhým. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Alalgar, one of the stronger structural bridges in this analysis connects Alalgar 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 Alalgar to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Alalgar · CS edition · Analysis: TopicsToTalkAbout
