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Guntram: Život, Vláda & Overview
Guntram také Gontram, Gontran, Gunthram nebo Gunthchramn (545 Soissons – 28. března 592 Chalon-sur-Saône) byl od roku 561 do roku 592 králem Burgundského království se sídlem v Orléans. Byl třetím nejstarším a druhým nejstarším žijícím synem Chlothara I. a Ingundy. Po smrti svého otce v roce 561 se stal králem čtvrtiny Franské říše.
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Guntram topic overview
The analysis highlights Život, Vláda and Overview as prominent areas in the source structure around Guntram.
Related topics
25
Source areas
3
Connected nodes
30
Extracted relationships
75
Concept neighborhoods
10
Bridge connections
30
What this topic covers Research coverage
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.
Overview · 10 topics
Život · 8 topics
Vláda · 7 topics
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.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Doba vlády
561–592
Dynastie
merovejská
Manželky
Veneranda Marcatruda Austerchilda
Matka
Ingunda
Narození
kolem 532 Soissons
Nástupce
Childebert II.
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
How Guntram connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Guntram shows recurring relationship patterns in the source. For example, Guntram → Arles, Chalon-sur-Saône, Charibert, Charibertovi, Childebert II, Childeberta, Chilperichem, Chilperichovi, Církevní, Guntramovi, Guntramově, Guntramův, Gótům, Jeho, Kronikář, Marcela, Paříži, Podle, Porážku, Přežil Another extracted example is Guntram → Austregildou, Bobilla, Burgundského, Byl, Chariberta, Chilpericha, Chlodebergu, Chlodichildu, Chlodomera, Chlothara, Franskou, Gontram, Gontrama, Gundobada, Guntramem, Ingundy, Když, Kronikář, Král Chlothar, Marcatruda. Use these groups to spot repeated connection types before inspecting the individual relationships.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 75 structured relationships around Guntram. Examples in this analysis include Guntram → Doba vlády → 561–592 and Guntram → Dynastie → merovejská. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Guntram
Doba vlády
561–592
1.00
infobox
Guntram
Dynastie
merovejská
1.00
infobox
Guntram
Manželky
Veneranda Marcatruda Austerchilda
1.00
infobox
Guntram
Matka
Ingunda
1.00
infobox
Guntram
Narození
kolem 532 Soissons
1.00
infobox
Guntram
Nástupce
Childebert II.
1.00
infobox
Guntram
Otec
Chlothar I.
1.00
infobox
Guntram
Pohřben
Chalon-sur-Saône
1.00
infobox
Guntram
Potomci
Gundobad Chlothar I. Chlodomer Chlodeberga Chlodichilda
1.00
infobox
Guntram
Předchůdce
Chlothar I.
1.00
infobox
Guntram
Příbuzní
Chram, Chilperich I., Charibert I., Sigibert I., Gundoald a Chlothsind Franská (sourozenci)
1.00
infobox
Guntram
Tituly
král v Orléans
1.00
infobox
Guntram
Úmrtí
28. března 592 Chalon-sur-Saône
1.00
infobox
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Guntram bring nearby vocabulary together. In this analysis, examples include Burgundského, Království and Soissons. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Guntram
Burgundského
Království
Soissons
Března
Chalon-sur-saône
Orléans
Oženil
Roku
Svou
Jeho
Králem
Roce
guntram
Burgundského
Království
Soissons
Března
Chalon-sur-saône
Orléans
Oženil
Roku
Svou
Jeho
Králem
Roce
burgundského království
Gontram
Království
Orléans
Králem
Soissons
Března
Chalon-sur-saône
Roku
Roce
Smrti
Stal
Guntram
soissons
Března
Chalon-sur-saône
Orléans
Burgundského
Gontram
Království
Král
Roku
Králem
Guntram
Chlothar
28. března
Soissons
Chalon-sur-saône
Orléans
Burgundského
Gontram
Království
Král
Roku
Králem
Guntram
Chlothar
chalon-sur-saône
Soissons
Orléans
Roku
Burgundského
Gontram
Království
Král
Králem
Guntram
Chlothar
orléans
Soissons
Král
Roku
Roce
Smrti
Stal
Chlothar
chlothara i.
Ingundy
Synem
Chlothsind
Franská
Měl
Oženil
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Guntram, one of the stronger structural bridges in this analysis connects Guntram 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.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Guntram
Nodes31
Edges30
Triples75
Avg. degree1.94
Density0.064516
Components1
Source & methodology
TTTA analyzes the structure around Guntram to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Život, Vláda & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
