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Nemed: Legend, Etymology & Analysis
Nemed or Nimeth (Modern Irish: Neimheadh) is a character in medieval Irish legend. According to the Lebor Gabála Érenn (compiled in the 11th century), he was the leader of the third group of people to settle in Ireland: the Muintir Nemid (or Muintir Neimhidh, "people of Nemed"), Clann Nemid (Clann Neimhidh, "offspring of Nemed") or "Nemedians". They…
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Nemed topic overview
The analysis highlights Legend, Etymology and Analysis as prominent areas in the source structure around Nemed.
Related topics
56
Source areas
4
Connected nodes
62
Extracted relationships
77
Concept neighborhoods
19
Bridge connections
62
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.
Legend · 37 topics
Etymology · 10 topics
Overview · 6 topics
Analysis · 3 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 Nemed 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 Nemed shows recurring relationship patterns in the source. For example, Nemed → According, Agnoman, Also, Annind, Biblical Noah, Caspian Sea, Esru, Fergus, Friamaint, Greeks, Iarbonel, In, Ireland, Japheth, Jobhath, Lebor Gabála, Macha, Magog, Muintir Partholóin, Nemed's Another extracted example is Nemed → Annals, CELT, Celtic Mythology, CS1, Dictionary, Electronic Texts, Four Masters, Geoffrey, Hull, Ireland, ISBN, James, John, Keating, Kingdom, MacKillop, March, O'Donovan, Oxford University Press, Retrieved. 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 77 structured relationships around Nemed. Examples in this analysis include Nemed → related to Analysis → Dáithí and Nemed → related to Analysis → Tuatha Dé Danann. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Nemed
related to Analysis
Dáithí
0.60
section
Nemed
related to Analysis
Tuatha Dé Danann
0.60
section
Nemed
related to Analysis
He
0.60
section
Nemed
related to Analysis
Nemedians
0.60
section
Nemed
related to Analysis
Fomorians
0.60
section
Nemed
related to Analysis
Tuath Dé
0.60
section
Nemed
related to Analysis
In
0.60
section
Nemed
related to Analysis
Lebor Gabála
0.60
section
Nemed
related to Analysis
Historia Brittonum
0.60
section
Nemed
related to Analysis
Milesians
0.60
section
Nemed
related to Analysis
The Nemedians
0.60
section
Nemed
related to Analysis
Battle
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 Nemed bring nearby vocabulary together. In this analysis, examples include People, Plague and Dies. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
fomorians
Tower
Sea
Conand
Nemedians
Dé
Nemid
Muintir
Medieval
Modern
Nemed
Group
Island
muintir partholóin
Nemid
Thirty
Partholóin
Plague
Conand
Years
Sea
Tower
Fomorians
Arrived
Third
Island
Nemed
People
Plague
Dies
Fomorians
Third
Horses
May
Sons
Three
Dé
One
Two
nemed
People
Plague
Dies
Fomorians
Third
Horses
May
Sons
Three
Dé
One
Two
lebor gabála érenn
Lebor
Nemedians
Third
Group
Says
Ireland
Nemed
Irish
May
People
Three
One
conand
Nemid
Tower
Muintir
Fomorians
Island
Killed
Dies
Nemed's
Years
Sea
Ireland
modern irish
Legend
Medieval
Group
Irish
Modern
Nemed
May
Gabála
Lebor
Fomorians
annals of the four masters
Sons
Macha
Nemed's
One
Two
Nemid
Muintir
Ireland
Nemed
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 Nemed, one of the stronger structural bridges in this analysis connects Nemed with Legend. 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.
Nemed
Nodes63
Edges62
Triples77
Avg. degree1.97
Density0.031746
Components1
Source & methodology
TTTA analyzes the structure around Nemed to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Legend, Etymology & Analysis, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Nemed · EN edition · Analysis: TopicsToTalkAbout
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