Triple

T3708069
Position Surface form Disambiguated ID Type / Status
Subject Azerbaijan SSR administrative divisions E80939 entity
Predicate timeOfMajorReforms P50931 FINISHED
Object 1920s 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: 1920s | Statement: [Azerbaijan SSR administrative divisions, timeOfMajorReforms, 1920s]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeOfMajorReforms
Context triple: [Azerbaijan SSR administrative divisions, timeOfMajorReforms, 1920s]
  • A. survivedReformsOf
    Indicates that one entity continued to exist or remain in its role despite reforms, changes, or restructuring initiated by another entity.
  • B. 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.
  • C. implementedReformsIn
    Indicates that an entity (typically a person, organization, or government) carried out or put into effect specific reforms within a particular context, domain, or location.
  • D. 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.
  • E. goalOfReforms
    Indicates that a reform or set of reforms is undertaken with the aim or intended objective of achieving a particular outcome.
  • F. None of above. chosen

Provenance (4 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc580b08481908391283778d5ce14 completed March 8, 2026, 6:52 p.m.
PD Predicate disambiguation batch_69adc041a8608190a2d543dab6d2ef6c completed March 8, 2026, 6:30 p.m.
PDg Predicate description generation batch_69adc133ef50819094c2b971f31f1615 completed March 8, 2026, 6:34 p.m.
Created at: March 8, 2026, 3:33 p.m.