Triple

T17920739
Position Surface form Disambiguated ID Type / Status
Subject Valašské Meziříčí E448059 entity
Predicate locatedOnRiver P165 FINISHED
Object Bečva 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: Bečva | Statement: [Valašské Meziříčí, locatedOnRiver, Bečva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bečva
Context triple: [Valašské Meziříčí, locatedOnRiver, Bečva]
  • A. Bečva chosen
    Bečva is a river in the eastern Czech Republic that flows through the Moravian region before joining the Morava River.
  • B. Bešeňová
    Bešeňová is a village in northern Slovakia known for its popular thermal spa and aquapark resort.
  • C. Biely Potok
    Biely Potok was a former Slovak settlement in the Orava region that was submerged and abandoned during the creation of the Orava Reservoir.
  • D. Blšanka
    Blšanka is a small river in the Czech Republic that flows through the Ústí nad Labem and Karlovy Vary regions before joining the Ohře River.
  • E. Běloves
    Běloves is a district or locality within the town of Náchod in the Hradec Králové Region of the Czech Republic.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a30a11748190be41361d108aee58 completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, 10:20 a.m.