Triple

T11599696
Position Surface form Disambiguated ID Type / Status
Subject Italian Republic E275096 entity
Predicate foundingMemberOf P446 FINISHED
Object Eurozone E2721 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: Eurozone | Statement: [Italian Republic, foundingMemberOf, Eurozone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eurozone
Context triple: [Italian Republic, foundingMemberOf, Eurozone]
  • A. Eurozone chosen
    The Eurozone is the group of European Union countries that have adopted the euro as their common official currency and share a unified monetary policy.
  • B. Euro
    The Euro is the official common currency used by many countries in the European Union, facilitating trade and travel across much of Europe.
  • C. European Union
    The European Union is a political and economic union of European countries that collectively form one of the world’s largest single markets and play a major role in global diplomacy and governance.
  • D. European Economic Area
    The European Economic Area is a regional agreement that extends the European Union’s single market to certain non-EU countries, allowing them to participate in the free movement of goods, services, people, and capital.
  • E. EU
    EU is the vehicle registration code for the German district of Euskirchen in the state of North Rhine-Westphalia.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8954c3c248190bcccd4c7ff667b3a completed April 10, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee86f246848190a5b020c3e05d02dd completed April 26, 2026, 9:43 p.m.
Created at: April 8, 2026, 9:38 p.m.