Triple

T13861965
Position Surface form Disambiguated ID Type / Status
Subject Bulgarian lev E333219 entity
Predicate peggedTo P2876 FINISHED
Object euro E416311 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: [Bulgarian lev, peggedTo, euro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: euro
Context triple: [Bulgarian lev, peggedTo, euro]
  • A. euro chosen
    The euro is the official common currency used by most countries in the European Union and one of the world's major reserve and trading currencies.
  • B. 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.
  • C. EURO
    EURO is the commonly used short name for the UEFA European Championship, the premier international football tournament for national teams in Europe.
  • D. 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.
  • E. DSACEUR
    DSACEUR is the acronym for the Deputy Supreme Allied Commander Europe, a senior NATO military leadership position.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c20db88190acb842748aa01039 completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0ff1f78819088ae58f703e2c9ff completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.