Triple

T134605
Position Surface form Disambiguated ID Type / Status
Subject Eurozone E2721 entity
Predicate legalTenderIn P188 FINISHED
Object Kosovo E43081 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: Kosovo | Statement: [Eurozone, legalTenderIn, Kosovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kosovo
Context triple: [Eurozone, legalTenderIn, Kosovo]
  • A. Kosovo chosen
    Kosovo is a partially recognized Balkan state that declared independence from Serbia in 2008 and has a majority ethnic Albanian population.
  • B. 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.
  • 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. North Macedonia
    North Macedonia is a landlocked Balkan country in Southeast Europe known for its mountainous landscapes, rich cultural heritage, and recent integration into Euro-Atlantic institutions.
  • E. Serbia
    Serbia is a landlocked country in Southeast Europe, located in the central and western Balkans, known for its historical ties to Yugoslavia and its capital city, Belgrade.
  • 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_69a2520c0f3481908b0ed054a2fca8d0 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257a3ad908190b6a8652f09ae0cbb completed Feb. 28, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69a4176e25408190a99d70dec4919f39 completed March 1, 2026, 10:39 a.m.
Created at: Feb. 28, 2026, 2:30 a.m.