Triple

T11771285
Position Surface form Disambiguated ID Type / Status
Subject Kremnica Mountains E279903 entity
Predicate nearbyTown P3883 FINISHED
Object Kremnica E931686 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: Kremnica | Statement: [Kremnica Mountains, nearbyTown, Kremnica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kremnica
Context triple: [Kremnica Mountains, nearbyTown, Kremnica]
  • A. Kremnica chosen
    Kremnica is a historic Slovak town renowned for its medieval mining heritage and one of the world’s oldest continuously operating mints.
  • B. Kremenica
    Kremenica is a village-level settlement located within the municipality of Barajevo in Serbia.
  • C. Kriváň
    Kriváň is a prominent and symbolically important peak in Slovakia’s High Tatras, often regarded as a national symbol and popular hiking destination.
  • D. Kysuce
    Kysuce is a mountainous region in northwestern Slovakia known for its forests, traditional villages, and proximity to the Czech and Polish borders.
  • E. Vodňany
    Vodňany is a small historic town in the South Bohemian Region of the Czech Republic, known for its traditional fishpond farming and picturesque rural character.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a55c9f988190b203b66a28c767ae completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f280e9e20081909ccb09a2144a68b4 completed April 29, 2026, 10:06 p.m.
Created at: April 8, 2026, 9:41 p.m.