Triple

T1055432
Position Surface form Disambiguated ID Type / Status
Subject Rusyn language E22790 entity
Predicate spokenIn P2266 FINISHED
Object Croatia E19110 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: Croatia | Statement: [Rusyn language, spokenIn, Croatia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Croatia
Context triple: [Rusyn language, spokenIn, Croatia]
  • A. Croatia chosen
    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.
  • B. Slovenia
    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.
  • C. Bosnia and Herzegovina
    Bosnia and Herzegovina is a Balkan country in Southeastern Europe known for its complex post-Yugoslav history, diverse cultural and religious heritage, and capital city, Sarajevo.
  • D. Croatia and Serbia
    Croatia and Serbia are neighboring Balkan countries in Southeast Europe that share historical, cultural, and political ties as former Yugoslav republics.
  • E. Montenegro
    Montenegro is a small Balkan country on the Adriatic Sea, known for its mountainous landscapes, medieval villages, and status as a relatively new independent state in Southeastern Europe.
  • 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8d79268819080f3f3f497e91c58 completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69aebedc55848190a069888fe6088b0a completed March 9, 2026, 12:36 p.m.
Created at: March 1, 2026, 7:42 p.m.