Triple

T17920767
Position Surface form Disambiguated ID Type / Status
Subject Valašské Meziříčí E448059 entity
Predicate hasTwinTown P919 FINISHED
Object Bytča 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: Bytča | Statement: [Valašské Meziříčí, hasTwinTown, Bytča]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bytča
Context triple: [Valašské Meziříčí, hasTwinTown, Bytča]
  • A. Bytča chosen
    Bytča is a small historic town in northwestern Slovakia known for its Renaissance-era castle and role in Slovak national history.
  • B. Hvozdnica
    Hvozdnica is a small village and municipality in northern Slovakia known for its rural character and location within the Žilina Region.
  • C. Pribylina
    Pribylina is a village in northern Slovakia situated in the Liptov region, known for its traditional architecture and proximity to the Western Tatras.
  • D. Dračice
    Dračice is a smaller river in the Czech Republic that serves as one of the tributaries feeding into the Lužnice River.
  • E. Tisovec
    Tisovec is a small Slovak town known for its historical architecture and scenic location in the Rimavská Sobota District of the Banská Bystrica Region.
  • 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.