Triple

T19606222
Position Surface form Disambiguated ID Type / Status
Subject Confederation of Norwegian Enterprise E470611 entity
Predicate memberOf P10 FINISHED
Object BusinessEurope NE NERFINISHED

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: BusinessEurope | Statement: [Confederation of Norwegian Enterprise, memberOf, BusinessEurope]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BusinessEurope
Context triple: [Confederation of Norwegian Enterprise, memberOf, BusinessEurope]
  • A. BusinessEurope chosen
    BusinessEurope is a leading organization representing enterprises and employers’ federations across Europe, advocating for pro-business policies at the EU level.
  • B. EU
    EU is the vehicle registration code for the German district of Euskirchen in the state of North Rhine-Westphalia.
  • C. Europe, Middle East and Africa
    Europe, Middle East and Africa (EMEA) is a broad geographic region grouping together the countries of continental Europe, the Middle Eastern states, and the African continent for economic, financial, and business analysis.
  • D. Euro
    The Euro is the official common currency used by many countries in the European Union, facilitating trade and travel across much of Europe.
  • E. Avrupa ve Biz
    Avrupa ve Biz is a historical and cultural analysis book by Turkish historian İlber Ortaylı examining the complex relations between Turkey and Europe.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640c7ed24819091502fe0d5e139bc completed April 20, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:43 p.m.