Triple

T17456740
Position Surface form Disambiguated ID Type / Status
Subject Sněžka E425049 entity
Predicate hasCableCarFrom P8378 FINISHED
Object Růžová hora 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: Růžová hora | Statement: [Sněžka, hasCableCarFrom, Růžová hora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Růžová hora
Context triple: [Sněžka, hasCableCarFrom, Růžová hora]
  • A. Růžovský vrch chosen
    Růžovský vrch is a prominent hill and notable natural landmark that forms the highest elevation in the Bohemian Switzerland region of the Czech Republic.
  • B. Nalžovské Hory
    Nalžovské Hory is a small town in the Plzeň Region of the Czech Republic, known for its picturesque hilly landscape and historic rural character.
  • C. Jezerní hora
    Jezerní hora is a mountain in the Bohemian Forest of the Czech Republic, known for its forested slopes and proximity to glacial lakes.
  • D. Turzovská vrchovina
    Turzovská vrchovina is a hilly mountain range in northern Slovakia that forms part of the Outer Western Carpathians.
  • E. Lysá hora
    Lysá hora is the highest peak of the Moravian-Silesian Beskids in the Czech Republic, known for its panoramic views and popular hiking and skiing routes.
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45142b08481908cdd290692d796c3 completed April 19, 2026, 3:51 a.m.
Created at: April 10, 2026, 5:47 a.m.