Triple

T20082106
Position Surface form Disambiguated ID Type / Status
Subject Jan Kotěra E500026 entity
Predicate countryOfCitizenship P2 FINISHED
Object Czech lands NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Czech lands | Statement: [Jan Kotěra, countryOfCitizenship, Czech lands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Czech lands
Context triple: [Jan Kotěra, countryOfCitizenship, Czech lands]
  • A. Czech lands chosen
    The Czech lands are the historical regions of Bohemia, Moravia, and Czech Silesia that form the core territory of today’s Czech Republic.
  • B. Czech state
    The Czech state is the sovereign national government of the Czech Republic, responsible for administering the country’s public institutions, laws, and cultural heritage.
  • C. Bohemia
    Bohemia is a historical region in the western part of the modern Czech Republic, long a cultural and political center of Central Europe.
  • D. Bohemia
    Bohemia is a hamlet in Suffolk County, New York, known for its residential character and proximity to Long Island’s south shore communities.
  • E. Kingdom of Bohemia
    The Kingdom of Bohemia was a medieval and early modern Central European monarchy centered on Prague that became a key state within the Holy Roman Empire and later the Habsburg Monarchy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e665588a9c8190886b693b13a215a8 completed April 20, 2026, 5:41 p.m.
Created at: April 11, 2026, 3:41 p.m.