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Upáli (v sanskrtu उपालि – upāli) byl buddhistický mnich, učedník Gautamy Buddhy. Původně vykonával funkci holiče a kadeřníka u rodu Šákjů, ale později byl přijat mezi Buddhovy žáky. Těšil se zde výsadního postavení, jelikož byl přijat dříve než ostatní. Podle tradice to byl jedině Upáli, který dokonale znal řádová pravidla a během prvního buddhistického…
The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around Upáli.
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.
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See recurring relationship patterns around Upáli before inspecting the individual extracted relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
přijat sanskrtu buddhistický mnich šákjů mahákášjapy vinajapitaku tipitaky उप upāli učedník gautamy buddhy původně vykonával funkci holiče kadeřníka rodu později
TTTA extracted structured relationships around Upáli. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
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The concept neighborhoods around Upáli bring nearby vocabulary together. In this analysis, examples include Buddhistického, Buddhistický and Buddhy. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bridges highlight paths between different parts of the Upáli map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Upáli to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Upáli · CS edition · Analysis: TopicsToTalkAbout