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Ptuj (německy Pettau, latinsky Poetovio) je město ve slovinském Dolním Štýrsku. Je městem lázeňským, rozkládá se navíc ve vinařské oblasti. V roce 2020 zde žilo 17 959 obyvatel.
The analysis highlights Historie, Kultura and Partnerská města as prominent areas in the source structure around Ptuj.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
The extracted context around Ptuj shows recurring relationship patterns in the source. For example, Ptuj → Avaři, Blatenského, Colonia Ulpia Traiana Poetovio, Druhý, Drávu, Drávě, Gótové, Hunové, Jeho, Jiří, Kocel, Mariboru, Město, Městská, Nachází, Název, Pannonii, Po, Poetovio, Pribina Another extracted example is Ptuj → A4, Chorvatsku, Kromě, Maribor, Na, Okruh, Ormož, Ormoži, Pragersko, Ptujské, Ptují, Rakouské, Slovenska Bistrica, Ve, Záhřebem, Západně. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
města roce zde město nachází století roku obyvatel ptuji místní 17 název hradu první železniční městě rovněž kromě poetovio žilo
TTTA extracted 143 structured relationships around Ptuj. Examples in this analysis include Ptuj → Hustota zalidnění → 697,1 obyv./km² and Ptuj → Nadmořská výška → 232 m n. m.. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Ptuj | Hustota zalidnění | 697,1 obyv./km² | 1.00 | infobox |
| Ptuj | Nadmořská výška | 232 m n. m. | 1.00 | infobox |
| Ptuj | Občina | Ptuj | 1.00 | infobox |
| Ptuj | Oficiální web | www.ptuj.si | 1.00 | infobox |
| Ptuj | Označení vozidel | MB | 1.00 | infobox |
| Ptuj | Počet obyvatel | 17 880 (2022) | 1.00 | infobox |
| Ptuj | PSČ | 2250 | 1.00 | infobox |
| Ptuj | Region | Podrávský | 1.00 | infobox |
| Ptuj | Rozloha | 25,65 km² | 1.00 | infobox |
| Ptuj | Souřadnice | 46°25′7″ s. š., 15°52′17″ v. d. | 1.00 | infobox |
| Ptuj | Status | Město | 1.00 | infobox |
| Ptuj | Stát | Slovinsko Slovinsko | 1.00 | infobox |
The concept neighborhoods around Ptuj bring nearby vocabulary together. In this analysis, examples include Slovinsku, Slovinský and Městská. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Ptuj, one of the stronger structural bridges in this analysis connects Ptuj with Historie. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Ptuj to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, Kultura & Partnerská města, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Ptuj · CS edition · Analysis: TopicsToTalkAbout