Triple

T8862056
Position Surface form Disambiguated ID Type / Status
Subject North Moravia E210913 entity
Predicate contains P35 FINISHED
Object Bruntál E182464 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: Bruntál | Statement: [North Moravia, contains, Bruntál]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruntál
Context triple: [North Moravia, contains, Bruntál]
  • A. Bruntál chosen
    Bruntál is a historic town in the Moravian-Silesian Region of the Czech Republic, known as one of the oldest towns in the country and a gateway to the Jeseníky Mountains.
  • B. Vsetín
    Vsetín is a town in the eastern Czech Republic known as an industrial and cultural center of the Moravian Wallachia region.
  • C. Znojmo
    Znojmo is a historic town in the South Moravian Region of the Czech Republic, known for its medieval architecture, wine production, and strategic position near the Austrian border.
  • D. Karviná
    Karviná is an industrial city in the Moravian-Silesian Region of the Czech Republic, historically part of Cieszyn Silesia and known for its coal mining heritage.
  • E. Slaný
    Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
  • 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_69ca838bbddc8190ab546d737e5d350f completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc610263048190931bb2c3ac573a08 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69d32a1e1de88190a98ce4b6aea1a148 completed April 6, 2026, 3:35 a.m.
Created at: March 30, 2026, 6:50 p.m.