Triple

T19308654
Position Surface form Disambiguated ID Type / Status
Subject Latin Europe E482907 entity
Predicate historicalCoreIncludes P57466 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: [Latin Europe, historicalCoreIncludes, Slovenia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slovenia
Context triple: [Latin Europe, historicalCoreIncludes, 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e604cb47c88190bd01e6f5f4d2204f completed April 20, 2026, 10:49 a.m.
Created at: April 10, 2026, 1:32 p.m.