Triple

T23306821
Position Surface form Disambiguated ID Type / Status
Subject Bečva River E590467 entity
Predicate flowsThrough P225 FINISHED
Object Vsetín 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: Vsetín | Statement: [Bečva River, flowsThrough, Vsetín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vsetín
Context triple: [Bečva River, flowsThrough, Vsetín]
  • A. Vsetín chosen
    Vsetín is a town in the eastern Czech Republic known as an industrial and cultural center of the Moravian Wallachia region.
  • B. Přerov
    Přerov is a city in the Olomouc Region of the Czech Republic, known as an important industrial and transport hub on the Bečva River.
  • C. 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.
  • D. Břeclav
    Břeclav is a town in the South Moravian Region of the Czech Republic, known as a local transport hub and gateway to the Lednice–Valtice cultural landscape near the Austrian and Slovak borders.
  • E. 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.
  • 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1972846fc819092ca2b9590b2e177 completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:05 p.m.