Triple

T16046883
Position Surface form Disambiguated ID Type / Status
Subject Polska Ludowa E389243 entity
Predicate ważnaReformaAdministracyjna P5053 FINISHED
Object reforma wojewódzka 1975 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: reforma wojewódzka 1975 | Statement: [Polska Ludowa, ważnaReformaAdministracyjna, reforma wojewódzka 1975]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ważnaReformaAdministracyjna
Context triple: [Polska Ludowa, ważnaReformaAdministracyjna, reforma wojewódzka 1975]
  • A. notableReform chosen
    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.
  • B. partOfAdministrativeDivisionReform
    Indicates that an entity is involved in, or results from, a reorganization or restructuring of administrative divisions.
  • C. lastReform
    Indicates the most recent reform or change that was applied to an entity, typically linking the entity to its latest reform event or version.
  • D. municipalityReform
    Indicates a formal reorganization or restructuring of a municipality’s administrative boundaries, governance, or status.
  • E. reform
    Indicates bringing about significant changes to an existing system, practice, or entity in order to improve or correct it.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1ff63edb0819092cbb671967bbdcd completed April 17, 2026, 9:37 a.m.
PD Predicate disambiguation batch_69e1826f34c081908005bb736f1c485d completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 4:56 a.m.