Triple

T844574
Position Surface form Disambiguated ID Type / Status
Subject Slovakia E18249 entity
Predicate ISO3166-1Alpha3 P189 FINISHED
Object SVK E18249 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: SVK | Statement: [Slovakia, ISO3166-1Alpha3, SVK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SVK
Context triple: [Slovakia, ISO3166-1Alpha3, SVK]
  • A. Slovakia chosen
    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.
  • B. Czech Republic
    The Czech Republic is a landlocked Central European country known for its historic cities like Prague, rich cultural heritage, and membership in major international organizations such as the European Union and NATO.
  • C. 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.
  • 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. Styria
    Styria is a federal state in southeastern Austria known for its capital Graz, diverse landscapes, and strong industrial and educational sectors.
  • 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac09249c8190a8099b94a3c9e2cc completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69add19c8dac8190b99a00fc2131b0f4 completed March 8, 2026, 7:44 p.m.
Created at: March 1, 2026, 7:38 p.m.