Triple

T11771389
Position Surface form Disambiguated ID Type / Status
Subject Brezno E279905 entity
Predicate hasNearbyPeak P7612 FINISHED
Object Ďumbier E300713 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: Ďumbier | Statement: [Brezno, hasNearbyPeak, Ďumbier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ďumbier
Context triple: [Brezno, hasNearbyPeak, Ďumbier]
  • A. Ďumbier chosen
    Ďumbier is a prominent mountain peak in central Slovakia known for its alpine scenery, hiking trails, and panoramic views over the surrounding Carpathian ranges.
  • B. Nabo
    Nabo is a diminutive form of the given name Nabil, often used as a familiar or affectionate nickname.
  • C. Barbula
    Barbula was a cognomen of the ancient Roman gens Aemilia, borne by several members of this prominent patrician family.
  • D. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • E. Biberwier
    Biberwier is a small alpine village and municipality in the Tyrolean Zugspitz Arena of western Austria, known for its mountain scenery and outdoor recreation.
  • 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_69f09086c4ec81908bc8b707a49c3ac2 completed April 28, 2026, 10:48 a.m.
Created at: April 8, 2026, 9:41 p.m.