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Takšoň (okolo 931 – počátkem 70. let 10. století; maďarsky Taksony) byl od roku 955 až do své smrti počátkem 70. let 10. století uherský velkokníže z rodu Arpádovců.
Život, Rodina & Odkazy
Explore the main themes, entities and connections around Takšoň. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. 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.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
isbn of gesta hungarorum roku anglicky století 931 the let hungary uherský 955 10 jeho zoltán takšoně maďarsky roce press
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Takšoň | Dynastie | Arpádovci | 1.00 | infobox |
| Takšoň | Manželka | princezna z Chazarské říše, z kmene Pečeněhů či z Volžského Bulharska | 1.00 | infobox |
| Takšoň | Matka | dcera Menumoruta (?) | 1.00 | infobox |
| Takšoň | Narození | asi 931 | 1.00 | infobox |
| Takšoň | Nástupce | Gejza | 1.00 | infobox |
| Takšoň | Období | asi 955 – asi 972 | 1.00 | infobox |
| Takšoň | Otec | Zoltán | 1.00 | infobox |
| Takšoň | Potomci | Gejza Michal Uherský | 1.00 | infobox |
| Takšoň | Předchůdce | Fajsz | 1.00 | infobox |
| Takšoň | Příbuzní | Menumorut (děd) Judita Uherská, Štěpán I. Uherský, Gizella of Hungary, Grimelda Uherská, Sarolta a Hungarian wife of Gavril Radomir (vnoučata) | 1.00 | infobox |
| Takšoň | Úmrtí | asi 972 | 1.00 | infobox |
| Takšoň | related to Externí odkazy | Obrázky | 0.60 | section |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.