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MS München: Career, Last voyage and search operations & Early career
MS München was a German LASH carrier of the Hapag-Lloyd line that sank with all 28 hands for unknown reasons in a severe North Atlantic storm in December 1978. The most accepted theory is that one or more rogue waves hit München and damaged her, so that she drifted for 33 hours with a list of 50 degrees without electricity or propulsion.
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MS München topic overview
The analysis highlights Career, Last voyage and search operations and Early career as prominent areas in the source structure around MS München.
Related topics
51
Source areas
6
Connected nodes
57
Extracted relationships
70
Concept neighborhoods
17
Bridge connections
57
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.
Last voyage and search operations · 31 topics
Early career · 9 topics
Contribution to case law · 4 topics
Media coverage · 3 topics
Overview · 3 topics
Investigation · 1 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.
Owner
Hapag-Lloyd
Beam
32.2 m (105 ft 8 in)
Builder
Cockerill-Sambre
Class & type
LASH carrier
Crew
28
Draught
11.28 m (37 ft 0 in)
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 MS München 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 MS München shows recurring relationship patterns in the source. For example, MS München → Around, At, Automatic, Beaufort, Cornwall, December, German, Greek Panamax, HM Coastguard, HMCG, Land's End, Marion, Mariya Yermolova, Morse, No, One, Royal Air Force Hawker, Siddeley Nimrod, SOS, Soviet Another extracted example is MS München → Bangladesh, Belgium, Cockerill Yards, December, Dutch, Flanders, German, Her, Hoboken, Holland America Line, LASH, May, MS Bilderdijk, München, October, Rhine Forest, September, She, This, United States. Use these groups to spot repeated connection types before inspecting the individual relationships.
MS München
Top relations
related to Distress call· 25
MS München → Around, At, Automatic, Beaufort, Cornwall, December, German, Greek Panamax, HM Coastguard, HMCG, Land's End, Marion, Mariya Yermolova, Morse, No, One, Royal Air Force Hawker, Siddeley Nimrod, SOS, Soviet
related to Early career· 21
MS München → Bangladesh, Belgium, Cockerill Yards, December, Dutch, Flanders, German, Her, Hoboken, Holland America Line, LASH, May, MS Bilderdijk, München, October, Rhine Forest, September, She, This, United States
Propulsion· 3
MS München → 26,100 hp (19,500 kW) at 122 rpm, 5-bladed propeller, 9 cylinder Sulzer 9 RND 90 diesel engine
Tonnage· 2
MS München → 37,134 GRT, 44,600 DWT
Beam· 1
MS München → 32.2 m (105 ft 8 in)
Builder· 1
MS München → Cockerill-Sambre
Class & type· 1
MS München → LASH carrier
Crew· 1
MS München → 28
Draught· 1
MS München → 11.28 m (37 ft 0 in)
Fate· 1
MS München → Lost in a storm in the North Atlantic on 12 December 1978
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
MS München relationships Subject–Predicate–Object triples
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 70 structured relationships around MS München. Examples in this analysis include MS München → Beam → 32.2 m (105 ft 8 in) and MS München → Builder → Cockerill-Sambre. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
MS München
Beam
32.2 m (105 ft 8 in)
1.00
infobox
MS München
Builder
Cockerill-Sambre
1.00
infobox
MS München
Class & type
LASH carrier
1.00
infobox
MS München
Crew
28
1.00
infobox
MS München
Draught
11.28 m (37 ft 0 in)
1.00
infobox
MS München
Fate
Lost in a storm in the North Atlantic on 12 December 1978
1.00
infobox
MS München
Height
18.29 m (60 ft 0 in)
1.00
infobox
MS München
Identification
IMO number: 7214856
1.00
infobox
MS München
In service
22 September 1972
1.00
infobox
MS München
Launched
12 May 1972
1.00
infobox
MS München
Length
261.4 m (857 ft 7 in)
1.00
infobox
MS München
Name
München
1.00
infobox
MS München
Namesake
City of Munich, Germany
1.00
infobox
MS München
Operator
Hapag-Lloyd
1.00
infobox
MS München
Out of service
12 December 1978
1.00
infobox
MS München
Owner
Hapag-Lloyd
1.00
infobox
MS München
Propulsion
9 cylinder Sulzer 9 RND 90 diesel engine
1.00
infobox
MS München
Propulsion
26,100 hp (19,500 kW) at 122 rpm
1.00
infobox
MS München
Propulsion
5-bladed propeller
1.00
infobox
MS München
Route
Bremerhaven, Germany to Savannah, Georgia, U.S.
1.00
infobox
MS München
Speed
18 knots (33 km/h; 21 mph)
1.00
infobox
MS München
Tonnage
37,134 GRT
1.00
infobox
MS München
Tonnage
44,600 DWT
1.00
infobox
MS München
Yard number
860
1.00
infobox
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 MS München bring nearby vocabulary together. In this analysis, examples include Bremerhaven, Georgia and Hapag-lloyd. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
MS München
Bremerhaven
Georgia
Hapag-lloyd
Number
Savannah
Wave
Atlantic
Lash
München
Germany
Rogue
Ship
ms münchen
Bremerhaven
Georgia
Hapag-lloyd
Number
Savannah
Wave
Atlantic
Lash
München
Germany
Rogue
Ship
north atlantic
North
Lash
Storm
Ms
Bremerhaven
Georgia
Hapag-lloyd
Number
Savannah
Voyage
Germany
Rogue
ms caribe
Bremerhaven
Georgia
Hapag-lloyd
Number
Savannah
Atlantic
Lash
München
Germany
Ship
German
North
germany
Bremerhaven
Georgia
Savannah
Aircraft
Ms
München
Hapag-lloyd
Number
Lash
Radio
Voyage
Day
last voyage and search operations
Aircraft
Force
Bremerhaven
Georgia
Hapag-lloyd
Savannah
Atlantic
Germany
Storm
Ms
North
Search
lash carrier
Atlantic
Ms
North
Bremerhaven
Georgia
Hapag-lloyd
Number
Savannah
München
Germany
Storm
Ship
hapag-lloyd
Ms
Search
Bremerhaven
Georgia
Savannah
Atlantic
Lash
Voyage
Germany
Storm
North
München
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 MS München, one of the stronger structural bridges in this analysis connects MS München with Last voyage and search operations. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Min side: 3
MS München — Last voyage and search operations· splits 26 ⟂ 32MS München — Early career· splits 48 ⟂ 10MS München — Contribution to case law· splits 53 ⟂ 5MS München — Overview· splits 54 ⟂ 4MS München — Media coverage· splits 54 ⟂ 4
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
MS München
Nodes58
Edges57
Triples70
Avg. degree1.97
Density0.034483
Components1
Source & methodology
TTTA analyzes the structure around MS München to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Career, Last voyage and search operations & Early career, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
