Triple

T17920821
Position Surface form Disambiguated ID Type / Status
Subject Kroměříž E448060 entity
Predicate hasTwinTown P919 FINISHED
Object Ružomberok 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: Ružomberok | Statement: [Kroměříž, hasTwinTown, Ružomberok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ružomberok
Context triple: [Kroměříž, hasTwinTown, Ružomberok]
  • A. Ružomberok chosen
    Ružomberok is a town in northern Slovakia known for its location in the Liptov region and its historical and cultural significance.
  • B. Trebišov
    Trebišov is a town in eastern Slovakia known as an administrative and cultural center of the Trebišov District.
  • C. Bojnice
    Bojnice is a historic spa town in central Slovakia best known for its fairy-tale Bojnice Castle and popular zoo.
  • D. Rimavská Sobota
    Rimavská Sobota is a town in southern Slovakia known as a regional center in the Banská Bystrica Region with historical roots and a mixed cultural heritage.
  • E. Pezinok
    Pezinok is a historic wine-producing town in western Slovakia known for its vineyards, wine festivals, and proximity to the Little Carpathians.
  • 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.