Triple

T2508740
Position Surface form Disambiguated ID Type / Status
Subject Radical Reformation E52650 entity
Predicate hasMainRegion P285 FINISHED
Object Moravia E35412 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: Moravia | Statement: [Radical Reformation, hasMainRegion, Moravia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moravia
Context triple: [Radical Reformation, hasMainRegion, Moravia]
  • A. Moravia chosen
    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.
  • 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. North Moravia
    North Moravia is the northern part of the historical Moravia region in the eastern Czech Republic, known for its industrial cities and proximity to the Jeseníky Mountains.
  • D. South Moravia
    South Moravia is a region in the southeastern part of the Czech Republic known for its historic cities, wine production, and cultural heritage.
  • E. Czech lands
    The Czech lands are the historical regions of Bohemia, Moravia, and Czech Silesia that form the core territory of today’s Czech Republic.
  • 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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1ec68dc8190aff3d1d2d68b9bcb completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d1c73d88190b4e871b9876e1a52 completed March 10, 2026, 1:31 p.m.
Created at: March 6, 2026, 9:46 p.m.