Triple

T21598218
Position Surface form Disambiguated ID Type / Status
Subject Sazka Arena E532958 entity
Predicate locatedIn P40 FINISHED
Object Vysočany 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: Vysočany | Statement: [Sazka Arena, locatedIn, Vysočany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vysočany
Context triple: [Sazka Arena, locatedIn, Vysočany]
  • A. Vysočany chosen
    Vysočany is a district in the northeastern part of Prague, Czech Republic, known for its mix of residential areas, industrial heritage, and modern commercial development.
  • B. Vranov nad Topľou
    Vranov nad Topľou is a town in eastern Slovakia known as a local administrative and cultural center in the Prešov Region.
  • C. Trebišov
    Trebišov is a town in eastern Slovakia known as an administrative and cultural center of the Trebišov District.
  • D. Hlboké nad Váhom
    Hlboké nad Váhom is a village and municipality in northern Slovakia, situated in the Bytča District of the Žilina Region.
  • E. Ružomberok
    Ružomberok is a town in northern Slovakia known for its location in the Liptov region and its historical and cultural significance.
  • 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_69e0c46364608190a337dc8720dc2a35 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefae2fc908190b989f39e8cefffb2 completed April 27, 2026, 5:57 a.m.
Created at: April 16, 2026, 6:32 p.m.