Triple

T339177
Position Surface form Disambiguated ID Type / Status
Subject Russian ruble (Empire) E6794 entity
Predicate majorReform P4888 FINISHED
Object 1839–1843 monetary reform 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: 1839–1843 monetary reform | Statement: [Russian ruble (Empire), majorReform, 1839–1843 monetary reform]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: majorReform
Context triple: [Russian ruble (Empire), majorReform, 1839–1843 monetary reform]
  • A. reform chosen
    Indicates bringing about significant changes to an existing system, practice, or entity in order to improve or correct it.
  • B. notableReform
    Indicates that an entity is recognized for having initiated, led, or been central to a significant reform or transformative change in a system, policy, or institution.
  • C. constitutionalChange
    Indicates a formal modification, addition, or removal of provisions within a constitution or foundational legal framework.
  • D. majorIssue
    Indicates that something is a primary or most significant problem, concern, or obstacle in a given context.
  • E. significantRevisionIn
    Indicates that one entity represents a substantial or important change made within another entity, such as a major update or revision occurring in a larger work or version.
  • 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_69a2e79434908190a9d5afe415153ad9 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eae3a27c81909fc7deb600125fb1 completed Feb. 28, 2026, 1:17 p.m.
PD Predicate disambiguation batch_69a2e95067e88190a914a1c1d0283dfc completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.