Triple

T22798367
Position Surface form Disambiguated ID Type / Status
Subject Stanislava Brezovar E564310 entity
Predicate citizenship P2 FINISHED
Object Slovenia 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: Slovenia | Statement: [Stanislava Brezovar, citizenship, Slovenia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slovenia
Context triple: [Stanislava Brezovar, citizenship, Slovenia]
  • A. Slovenia chosen
    Slovenia is a Central European country known for its mountains, lakes, and historic cities, and is a member of both the European Union and the Eurozone.
  • B. Croatia
    Croatia is a southeastern European country on the Adriatic Sea, known for its historic coastal cities, thousands of islands, and status as a member of both the European Union and NATO.
  • C. Austria and Slovenia
    Austria and Slovenia are neighboring Central European countries known for their shared Alpine landscapes, historical ties within the former Habsburg realm, and integration within the European Union.
  • D. Croatina
    Croatina is a red Italian wine grape variety, primarily grown in Lombardy and Emilia-Romagna, known for producing deeply colored, fruity wines often used in blends.
  • E. Tursko
    Tursko is a historical settlement known primarily as the site of the medieval Sack of Tursko.
  • 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_69e2458185f88190b0045227ee420411 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cda76448190891c5190e1d75ae0 completed April 29, 2026, 3:36 a.m.
Created at: April 17, 2026, 3:31 p.m.