Triple

T20159831
Position Surface form Disambiguated ID Type / Status
Subject Pohorje Massif E491673 entity
Predicate nearCity P350 FINISHED
Object Slovenska Bistrica 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: Slovenska Bistrica | Statement: [Pohorje Massif, nearCity, Slovenska Bistrica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slovenska Bistrica
Context triple: [Pohorje Massif, nearCity, Slovenska Bistrica]
  • A. Slovenska Bistrica chosen
    Slovenska Bistrica is a historic town in northeastern Slovenia known for its medieval castle, traditional architecture, and location at the foothills of the Pohorje Mountains.
  • B. Ilirska Bistrica
    Ilirska Bistrica is a town and municipality in southwestern Slovenia known for its location near the Croatian border and the Brkini Hills.
  • C. Bohinjska Bistrica
    Bohinjska Bistrica is a small alpine town in northwestern Slovenia, known as a gateway to Lake Bohinj and the Julian Alps.
  • D. Bistrica
    Bistrica is a river that serves as a tributary of the Vrbas River in the Balkans.
  • E. Sava Dolinka
    Sava Dolinka is a river in northwestern Slovenia that forms one of the two headwaters of the Sava, the longest river in the country.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667e37c8c8190827839291027d9e2 completed April 20, 2026, 5:52 p.m.
Created at: April 11, 2026, 11:34 p.m.