Triple

T3808992
Position Surface form Disambiguated ID Type / Status
Subject Cape Verdean escudo E93083 entity
Predicate peggedTo P2876 FINISHED
Object euro E12559 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: euro | Statement: [Cape Verdean escudo, peggedTo, euro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: euro
Context triple: [Cape Verdean escudo, peggedTo, euro]
  • A. EUR
    EUR is the commonly used abbreviation for the Bureau of European and Eurasian Affairs within the U.S. Department of State, which oversees American foreign policy and diplomatic relations in Europe and Eurasia.
  • B. EURO
    EURO is the commonly used short name for the UEFA European Championship, the premier international football tournament for national teams in Europe.
  • C. EURO
    EURO is the commonly used abbreviation for the World Health Organization’s Regional Office for Europe, which oversees public health initiatives across the European region.
  • D. Swiss franc
    The Swiss franc is the official currency of Switzerland and Liechtenstein, known for its stability and status as a major global reserve currency.
  • E. Euro chosen
    The Euro is the official common currency used by many countries in the European Union, facilitating trade and travel across much of 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_69aed96a60088190ab1df8390fffc935 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aee80c7fc48190b5c2400918bba5c2 completed March 9, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5121f9d288190bd265a95b7727ab5 completed March 14, 2026, 7:45 a.m.
Created at: March 9, 2026, 3:16 p.m.