Triple

T27289
Position Surface form Disambiguated ID Type / Status
Subject OECD E546 entity
Predicate hasMember P10 FINISHED
Object Slovenia E18381 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: Slovenia | Statement: [OECD, hasMember, Slovenia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slovenia
Context triple: [OECD, hasMember, 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. Slovakia
    Slovakia is a landlocked Central European country known for its mountainous landscapes, medieval castles, and membership in major international organizations such as the European Union and NATO.
  • D. Austria
    Austria is a landlocked Central European country known for its Alpine landscapes, rich cultural and musical heritage, and status as a prosperous, democratic member of the European Union.
  • 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_69a243b4ac2c8190b93c303df797b7b2 completed Feb. 28, 2026, 1:24 a.m.
NER Named-entity recognition batch_69a2467875048190aad87347c7a1cb67 completed Feb. 28, 2026, 1:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2eb7495ac819093ffa2a622cbd71e completed Feb. 28, 2026, 1:19 p.m.
Created at: Feb. 28, 2026, 1:34 a.m.