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Chram: Život, Odkazy & Overview
Chram také Chramn (520 až 540? – prosinec 560 Bretaň) byl franský princ a akvitánský místokrál, syn franského krále Chlothara I. a Chunsiny, jeho možné druhé manželky, podle jiných zdrojů až páté manželky. Chunsinin původ není znám. Chram měl dalších šest nevlastních bratrů.
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Chram topic overview
The analysis highlights Život, Odkazy and Overview as prominent areas in the source structure around Chram.
Related topics
46
Source areas
3
Connected nodes
49
Extracted relationships
89
Concept neighborhoods
15
Bridge connections
49
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.
Život · 31 topics
Overview · 11 topics
Odkazy · 4 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
555–560
Dynastie
merovejská
Manželka
Chalda
Matka
Chunsina
Narození
mezi 520 až 540?
Nástupce
Chlothar I.
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 Chram 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 Chram shows recurring relationship patterns in the source. For example, Chram → Aby Chram, Akvitánii, Albi, Auvergne, Bourges, Burgundska, Cahors, Charibert, Chariberta, Chidebertem, Childebertem, Chlothar, Chlothara, Chrama, Clermont, Clermontem, Dijon, Francii, Guntram, Guntrama Another extracted example is Chram → Akvitánie, Catem, Cautinus, Cautinuse, Chlotharovi, Chrama, Chramem, Clermontský, Clermontu, Dokázal, Firmin, Jiný, Leo, Martina, Podle, Poitiers, Příčinou, Sesazený, Tours, Wiliachar. 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 89 structured relationships around Chram. Examples in this analysis include Chram → Doba vlády → 555–560 and Chram → Dynastie → merovejská. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Chram
Doba vlády
555–560
1.00
infobox
Chram
Dynastie
merovejská
1.00
infobox
Chram
Manželka
Chalda
1.00
infobox
Chram
Matka
Chunsina
1.00
infobox
Chram
Narození
mezi 520 až 540?
1.00
infobox
Chram
Nástupce
Chlothar I.
1.00
infobox
Chram
Otec
Chlothar I.
1.00
infobox
Chram
Potomci
dcery neznámých jmen
1.00
infobox
Chram
Předchůdce
Theobald
1.00
infobox
Chram
Příbuzní
Chilperich I., Charibert I., Guntram, Sigibert I., Gundoald a Chlothsind Franská (sourozenci)
1.00
infobox
Chram
Úmrtí
prosinec 560 Bretaň
1.00
infobox
Chram
related to Chramova smrt v umění
Pohnutá
0.60
section
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 Chram bring nearby vocabulary together. In this analysis, examples include Krále, Chlothara and Jeho. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Chram
Krále
Chlothara
Jeho
Franský
Tours
Akvitánský
Bretaň
Childeberta
Chramn
Conomorem
Franského
Prosinec
chram
Krále
Chlothara
Jeho
Franský
Tours
Akvitánský
Bretaň
Childeberta
Chramn
Conomorem
Franského
Prosinec
chlothara i.
Krále
Childeberta
Franského
Jeho
Smrt
Datové
Položky
Chram
Chlothsind
Chramn
Conomorem
Franský
franského krále
Datové
Položky
Chlothsind
Franský
Prosinec
Franská
Childeberta
Conomorem
Krále
Jeho
Syna
Smrt
akvitánský
Bretaň
Chramn
Franského
Franský
Prosinec
Vláda
Krále
Smrt
Chlothara
Jeho
Chram
prosinec
Bretaň
Akvitánský
Chramn
Franského
Franský
Krále
Chlothara
Chlothar
Jeho
Chram
bretaň
Prosinec
Akvitánský
Chramn
Franského
Franský
Krále
Chlothara
Chlothar
Jeho
Chram
childeberta
Chlothara
Conomorem
Otce
Roku
To
Krále
Smrt
Jeho
Chram
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 Chram, one of the stronger structural bridges in this analysis connects Chram with Život. 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.
Chram
Nodes50
Edges49
Triples89
Avg. degree1.96
Density0.04
Components1
Source & methodology
TTTA analyzes the structure around Chram to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Život, Odkazy & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Chram · CS edition · Analysis: TopicsToTalkAbout
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