Triple

T786340
Position Surface form Disambiguated ID Type / Status
Subject Norwegian krone E16810 entity
Predicate inflationTargeting P14215 FINISHED
Object yes LITERAL 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: yes | Statement: [Norwegian krone, inflationTargeting, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: inflationTargeting
Context triple: [Norwegian krone, inflationTargeting, yes]
  • A. inflationTargetManagedBy
    Indicates that the responsibility for setting, overseeing, or adjusting an inflation target lies with a particular managing authority or entity.
  • B. inflationTargetCountry chosen
    Indicates that a country has adopted or is subject to a specific inflation target as part of its monetary or economic policy.
  • C. monetaryPolicyGoal
    Indicates that one entity specifies or represents the target objectives or intended outcomes of another entity’s monetary policy.
  • D. monetaryPolicyTool
    Indicates that something functions as an instrument or mechanism used to implement or influence a government's or central bank's monetary policy.
  • E. monetaryPolicyRegime
    Indicates the type and rules of a central bank’s approach to managing money supply, interest rates, and inflation in an economy.
  • F. None of above.

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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a77fcc6881908a025bb21e44ad56 completed March 1, 2026, 8:54 p.m.
PD Predicate disambiguation batch_69a4a50db97c8190a1c55673f4a357b4 completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:38 p.m.