Triple

T457109
Position Surface form Disambiguated ID Type / Status
Subject Polish marka E7256 entity
Predicate monetaryReform P12598 FINISHED
Object Władysław Grabski reform of 1924 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: Władysław Grabski reform of 1924 | Statement: [Polish marka, monetaryReform, Władysław Grabski reform of 1924]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: monetaryReform
Context triple: [Polish marka, monetaryReform, Władysław Grabski reform of 1924]
  • A. currencyInitiative chosen
    Indicates an initiative, program, or action specifically related to the development, regulation, promotion, or reform of a currency or monetary system.
  • B. successorMonetarySystem
    Indicates that one monetary system directly follows and replaces another in time or function.
  • C. redenomination
    Indicates a change in the face value or unit of a currency, typically by replacing old denominations with new ones at a fixed conversion rate.
  • D. monetaryComponent
    Indicates that something is a financial element or part of a larger monetary value, structure, or transaction.
  • E. demonetized
    Indicates that something has lost its status or validity as legal tender or a source of monetization, and can no longer be used to generate revenue in the usual way.
  • 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_69a2e7e5c5bc8190a1dc8178218fba40 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efa1616481909399f92551a0c9e3 completed Feb. 28, 2026, 1:37 p.m.
PD Predicate disambiguation batch_69a2ede614b88190be07425f5535f56d completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.