Triple

T19262270
Position Surface form Disambiguated ID Type / Status
Subject Staňkov E481676 entity
Predicate hasRegion P285 FINISHED
Object West Bohemia 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: West Bohemia | Statement: [Staňkov, hasRegion, West Bohemia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: West Bohemia
Context triple: [Staňkov, hasRegion, West Bohemia]
  • A. West Bohemia chosen
    West Bohemia is a historical region in the western part of the modern Czech Republic, known for its spa towns, cultural heritage, and industrial centers such as Pilsen.
  • B. East Bohemia
    East Bohemia is a historical region in the eastern part of the Czech Republic, known for its picturesque towns, cultural heritage, and varied landscapes.
  • C. North Bohemia
    North Bohemia is a historical region in the northern part of the modern Czech Republic, known for its mountainous landscapes, spa towns, and industrial heritage.
  • D. 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.
  • E. 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.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb8a022c8190b313e9d11d38e482 completed April 20, 2026, 10:10 a.m.
Created at: April 10, 2026, 1:28 p.m.