Find related topics. | Discover entities. | See connections. | Build a topical map.
Building topical map: Starting…
Nefelé: Nefelé a Athamás, Nefelé a Ixión & Overview
Nefelé (starořecky Νεφελη, latinsky Nubes) je v řecké mytologii dvojnice Héry, která s králem Ixiónem zplodila kentaury. Tato Nefelé může být totožná se stejnojmennou manželkou krále Athama. Často je označována jako nymfa či bohyně, toto tvrzení však nemá oporu v antických pramenech.
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
More settings
Nefelé topic overview
The analysis highlights Nefelé a Athamás, Nefelé a Ixión and Overview as prominent areas in the source structure around Nefelé.
Related topics
34
Source areas
3
Connected nodes
37
Extracted relationships
44
Concept neighborhoods
19
Bridge connections
37
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.
Nefelé a Athamás · 16 topics
Nefelé a Ixión · 10 topics
Overview · 8 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.
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 Nefelé 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 Nefelé shows recurring relationship patterns in the source. For example, Nefelé → Aiétém, Athamás, Athamáse, Chalkiopé, Delfské, Diovi, Frixa, Frixos, Gruzie, Harmonie, Helliným, Hellé, Helléspontem, Herma, Ixiómovi, Kadma, Kolchidy, Learcha, Melikerta, Na Another extracted example is Nefelé → Dia, Diodóros Sicilský, Historické, Hyginových Fabulae, Héraklem, Hérou, Héry, Héře, Ixión, Když, Kentaura, Kentauroi, Kentauros, Pindaros, Pseudo-Apollódorova Bibliothéka, Pýthijské, Příběh, Taktéž, Ve, Zeus. 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 44 structured relationships around Nefelé. Examples in this analysis include Nefelé → related to Nefelé a Athamás → Ixiómovi and Nefelé → related to Nefelé a Athamás → Athamáse. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Nefelé
related to Nefelé a Athamás
Ixiómovi
0.60
section
Nefelé
related to Nefelé a Athamás
Athamáse
0.60
section
Nefelé
related to Nefelé a Athamás
Frixa
0.60
section
Nefelé
related to Nefelé a Athamás
Hellé
0.60
section
Nefelé
related to Nefelé a Athamás
Pseudo-Apollódorova Bibliothéka
0.60
section
Nefelé
related to Nefelé a Athamás
Athamás
0.60
section
Nefelé
related to Nefelé a Athamás
Kadma
0.60
section
Nefelé
related to Nefelé a Athamás
Harmonie
0.60
section
Nefelé
related to Nefelé a Athamás
Learcha
0.60
section
Nefelé
related to Nefelé a Athamás
Melikerta
0.60
section
Nefelé
related to Nefelé a Athamás
Poté
0.60
section
Nefelé
related to Nefelé a Athamás
Nefeliným
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 Nefelé bring nearby vocabulary together. In this analysis, examples include Héry, Jej and Král. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Nefelé
Héry
Jej
Král
Krále
Manželkou
Může
Př
Totožná
Zeus
Zplodila
Héře
Zatoužil
nefelé
Héry
Jej
Král
Krále
Manželkou
Může
Př
Totožná
Zeus
Zplodila
Héře
Zatoužil
nefelé a ixión
Héře
Zatoužil
Století
Pokusil
Př
Znásilnit
Mu
Uvádí
Héry
Jej
Král
Krále
nefelé a athamás
Vypráví
Frixa
Poté
Svých
Ínó
Héry
Jej
Král
Krále
Manželkou
Může
Př
pseudo-apollódorova bibliothéka
Pseudo-apollódorova
Uvádí
Pokusil
Znásilnit
Frixa
Hellé
Héře
Králem
Mu
Svých
Zatoužil
Ínó
frixa
Hellé
Svých
Jako
Krále
Manželkou
Může
Pseudo-apollódorova
Totožná
Vypráví
Poté
Uvádí
Ínó
héry
Ixiónem
Kentaury
Latinsky
Starořecky
Bohyně
Jej
Zeus
Zplodila
Králem
Nefelé
hellé
Krále
Manželkou
Může
Pseudo-apollódorova
Totožná
Svých
Uvádí
Ínó
Nefelé
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 Nefelé, one of the stronger structural bridges in this analysis connects Nefelé with Nefelé a Athamás. 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.
Nefelé
Nodes38
Edges37
Triples44
Avg. degree1.95
Density0.052632
Components1
Source & methodology
TTTA analyzes the structure around Nefelé to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Nefelé a Athamás, Nefelé a Ixión & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
