Triple

T285076
Position Surface form Disambiguated ID Type / Status
Subject Diocletian's Tetrarchy E5869 entity
Predicate legalReformContext P2132 FINISHED
Object Diocletianic reforms 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: Diocletianic reforms | Statement: [Diocletian's Tetrarchy, legalReformContext, Diocletianic reforms]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalReformContext
Context triple: [Diocletian's Tetrarchy, legalReformContext, Diocletianic reforms]
  • A. reform
    Indicates bringing about significant changes to an existing system, practice, or entity in order to improve or correct it.
  • B. relatedLegislation
    Indicates that there exists a legislative document that is connected to, affects, or is otherwise relevant to the subject entity.
  • C. legalDoctrine
    Indicates that one legal principle, rule, or theory is being applied, referenced, or relied upon as an authoritative basis for interpreting or deciding a legal issue.
  • D. legalContext chosen
    Indicates that the relationship or action occurs within, is shaped by, or is relevant to a specific legal framework, proceeding, or set of legal norms.
  • E. 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.
  • 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_69a25946a7ac8190a78871c210213272 completed Feb. 28, 2026, 2:56 a.m.
NER Named-entity recognition batch_69a2605b372c8190831570aa6532cc96 completed Feb. 28, 2026, 3:26 a.m.
PD Predicate disambiguation batch_69a25b7a8d148190aacdcc8ccb35c7f3 completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 3:02 a.m.