Find related topics. | Discover entities. | See connections. | Build a topical map.
Building topical map: Starting…
Phylum: General description, Known phyla & Overview
In biology, a phylum (/ˈfaɪlʊm/; pl.: phyla) is a level of classification, or taxonomic rank, that is below kingdom and above class. Traditionally, the term division has been used in botany instead of phylum, although the International Code of Nomenclature for algae, fungi, and plants accepts the terms as equivalent. Depending on definitions, the animal…
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
More settings
Phylum topic overview
The analysis highlights General description, Known phyla and Overview as prominent areas in the source structure around Phylum.
Related topics
129
Source areas
3
Connected nodes
132
Extracted relationships
82
Concept neighborhoods
18
Bridge connections
132
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.
Known phyla · 93 topics
General description · 22 topics
Overview · 14 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 Phylum 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 Phylum shows recurring relationship patterns in the source. For example, Phylum → Bacilli, Bacteriological Code AbditibacteriotaAcidobacteriota, BacteroidotaBalneolotaBdellovibrionotaCaldisericota, Borrelia, Caldisericum, Chrysiogenes, Clostridia, CoprothermobacterotaDeferribacterotaDeinococcota, Currently, Cyanobacteria, Deinococcus, Desulfurispira, Desulfurispirillum, Escherichia, Gram, High-G, Low-G, Lyme, MycoplasmaMyxococcotaNitrospinotaNitrospirotaPlanctomycetotaPseudomonadota, OP5 Another extracted example is Phylum → At, Attempting, August, Eichler, Ernst Haeckel, Georges Cuvier, Greek, Haeckel, In, Linnaean, Linnean, Phylon, Stamm, The, We. 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 82 structured relationships around Phylum. Examples in this analysis include Escherichia coli or Pseudomonas aeruginosaRhodothermotaSpirochaetota → instance of → containing species and Phylum → related to Archaea → Currently. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Escherichia coli or Pseudomonas aeruginosaRhodothermotaSpirochaetota
instance of
containing species
0.80
text
species include Borrelia burgdorferi
instance of
containing species
0.80
text
which causes Lyme diseaseSynergistotaThermodesulfobacteriotaThermomicrobiotaThermotogota
instance of
containing species
0.80
text
deep-branchingVerrucomicrobiotaArchaeaCurrently there are 2 phyla that have been validly published according to the Bacteriological CodeNitrososphaerotaThermoproteota
instance of
containing species
0.80
text
second most common archaeal phylumOther phyla that have been proposed
instance of
containing species
0.80
text
but not validly named
instance of
containing species
0.80
text
include
instance of
containing species
0.80
text
deep-branchingVerrucomicrobiota ArchaeaCurrently there are 2 phyla that have been validly published according to the Bacteriological CodeNitrososphaerotaThermoproteota
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 Phylum bring nearby vocabulary together. In this analysis, examples include Group, Definition and Organisms. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Phylum
Group
Definition
Organisms
Plan
Body
Fungi
International
Term
Within
Defined
May
Members
phylum
Group
Definition
Organisms
Plan
Body
Fungi
International
Term
Within
Defined
May
Members
known phyla
Phylum
Body
Definitions
Kingdom
Organisms
Group
Clades
Plan
Plantae
Used
Groups
Level
international code of nomenclature for algae, fungi, and plants
Plants
Term
Divisions
Used
Kingdom
Fungi
International
Protista
Algae
Considered
May
System
current definitions of plantae
Different
Plantae
Kingdom
Protista
System
Phyla
Taxonomy
Biologists
Defined
Divisions
May
Members
fungi
Plants
Term
Kingdom
International
Protista
Phylum
Considered
Defined
Divisions
Plan
Plantae
Used
crown group
Phylum
Organisms
New
Species
One
Phyla
Cavalier-smith
Taxonomy
Within
Biologists
Defined
Divisions
division
Used
Plants
Algae
International
Taxonomy
Term
May
Species
Level
Fungi
Phylum
Definition
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 Phylum, one of the stronger structural bridges in this analysis connects Phylum with Known phyla. 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.
Phylum
Nodes133
Edges132
Triples82
Avg. degree1.99
Density0.015038
Components1
Source & methodology
TTTA analyzes the structure around Phylum to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as General description, Known phyla & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
