Triple

T16344440
Position Surface form Disambiguated ID Type / Status
Subject Boží Dar E396894 entity
Predicate locatedNear P294 FINISHED
Object Klínovec E88062 NE FINISHED

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: Klínovec | Statement: [Boží Dar, locatedNear, Klínovec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Klínovec
Context triple: [Boží Dar, locatedNear, Klínovec]
  • A. Vlkolínec
    Vlkolínec is a remarkably well-preserved UNESCO-listed Slovak mountain village known for its traditional wooden architecture and folk heritage.
  • B. Klinovec chosen
    Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
  • C. Kácov
    Kácov is a small Czech village and popular recreational spot in Central Bohemia, known for its scenic setting amid forests and hills and its historic brewery.
  • D. Kriváň
    Kriváň is a prominent and symbolically important peak in Slovakia’s High Tatras, often regarded as a national symbol and popular hiking destination.
  • E. Krhanice
    Krhanice is a small municipality and village in the Central Bohemian Region of the Czech Republic.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da0c90e0819086f0a80a10cd79f3 completed April 18, 2026, 1:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002db00b4081909573afc66366a91c completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:07 a.m.