Triple

T3822946
Position Surface form Disambiguated ID Type / Status
Subject Sezimovo Ústí E88618 entity
Predicate partOf P40 FINISHED
Object Czech lands E91859 NE FINISHED

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: [Sezimovo Ústí, partOf, Czech lands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Czech lands
Context triple: [Sezimovo Ústí, partOf, 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. Bohemia
    Bohemia is a historical region in the western part of the modern Czech Republic, long a cultural and political center of Central Europe.
  • C. 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.
  • D. Moravia
    Moravia is a historical region in the eastern part of the Czech Republic, known for its distinct cultural heritage, wine production, and major cities such as Brno and Olomouc.
  • E. Bohemia region
    Bohemia region is a historical region in the western part of the modern Czech Republic, known for its central role in Czech history and culture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed9538cf881909d9ce8ca4ac7c18c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeea63fe2c8190825f6e9451f6aa50 completed March 9, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a82c551c8190a97fdc5a96cf131c completed March 14, 2026, 6:25 p.m.
Created at: March 9, 2026, 3:17 p.m.