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TT scale: Standards, History, Products & Regions
TT scale (from "table top") is a model railroading scale at 1:120 scale with a track gauge of 12 mm between the rails. It is placed between HO scale (1:87) and N scale (1:160). Its original purpose, as the name suggests, was to make a train set small enough to assemble and operate on a tabletop.
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TT scale topic overview
The analysis highlights Standards, History, Products and Regions as prominent areas in the source structure around TT scale.
Related topics
36
Source areas
6
Connected nodes
42
Extracted relationships
91
Concept neighborhoods
16
Bridge connections
42
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 · 9 topics
History · 8 topics
Gauges · 6 topics
Manufacturers · 6 topics
British TT:120 · 4 topics
Standards · 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.
Model gauge
12 mm (0.472 in)
Prototype gauge
Standard gauge
Scale ratio
1:120
Standard(s)
NEM, NMRA
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 TT scale 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 TT scale shows recurring relationship patterns in the source. For example, TT scale → Arnold, BeckmannTT, Britain, British, But, Currently, Czech, Czech MTB, Dutch PSK Modelbouw, EMUs, German, Hornby, In, Kato's Unijoiner, Kuehn, Most TT, PIKO, Polish, Roco, Russian Another extracted example is TT scale → American, Berliner-TT-Bahnen, British, British Tri-ang Railways, By, East Germany, For, Hal Joyce, He, HO, In, In Europe, Kemtron Corporation, Levon Kemalyan, Numerous, Products, Rokal, The, Tillig, TT. Use these groups to spot repeated connection types before inspecting the individual relationships.
TT scale → American, Berliner-TT-Bahnen, British, British Tri-ang Railways, By, East Germany, For, Hal Joyce, He, HO, In, In Europe, Kemtron Corporation, Levon Kemalyan, Numerous, Products, Rokal, The, Tillig, TT
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 91 structured relationships around TT scale. Examples in this analysis include TT scale → Model gauge → 12 mm (0.472 in) and TT scale → Prototype gauge → Standard gauge. The table shows each extracted connection, where it came from and its confidence.
and was reintroduced to the United Kingdom in 2022
instance of
with several manufacturers based in countries
0.80
text
signals
instance of
offering not only trains and tracks but also accessories
0.80
text
lights
instance of
offering not only trains and tracks but also accessories
0.80
text
working catenaries
instance of
offering not only trains and tracks but also accessories
0.80
text
it became a serious contender to HO
instance of
offering not only trains and tracks but also accessories
0.80
text
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 TT scale bring nearby vocabulary together. In this analysis, examples include Scale, Tt and British. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
TT scale
Scale
Tt
British
Locomotives
New
Mm
Models
Model
Track
Manufacturers
Also
Several
tt scale
Scale
Tt
Mm
Gauge
British
Locomotives
New
Track
Models
Also
Model
Manufacturers
model railroading
Systems
Tillig
Railways
Kuehn
Mm
Roco
Standard
Tt
System
Track
Scale
Manufacturers
track gauge
Mm
Ft
Gauge
Track
Also
Scale
System
Railways
Trains
Tt
British
Accessories
ho scale
Tt
Mm
Gauge
British
Track
New
Also
Trains
Model
Locomotives
Manufacturers
Range
n scale
Tt
Mm
Gauge
British
Track
New
Also
Model
Locomotives
Manufacturers
Trains
Range
3 mm scale
Tt
Ft
Mm
Scale
Track
British
Gauge
Railways
Model
New
Also
Locomotives
british tt:120
Scale
Range
Mm
New
British
Tt
Locomotives
Hornby
Models
Railways
Model
Track
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 TT scale, one of the stronger structural bridges in this analysis connects TT scale 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.
TT scale
Nodes43
Edges42
Triples91
Avg. degree1.95
Density0.046512
Components1
Source & methodology
TTTA analyzes the structure around TT scale to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Standards, History, Products & Regions, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
