Triple

T341490
Position Surface form Disambiguated ID Type / Status
Subject Umayyad Caliphate E6845 entity
Predicate introducedReform P4888 FINISHED
Object Arabization of administration 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: Arabization of administration | Statement: [Umayyad Caliphate, introducedReform, Arabization of administration]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: introducedReform
Context triple: [Umayyad Caliphate, introducedReform, Arabization of administration]
  • A. 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.
  • B. reform chosen
    Indicates bringing about significant changes to an existing system, practice, or entity in order to improve or correct it.
  • C. hasReformEffort
    Indicates that an entity undertakes, is involved in, or is the subject of a deliberate effort to change, improve, or restructure a system, policy, or practice.
  • D. scriptAfterReform
    Indicates that one script or writing system is used after a reform or modification has been applied to another script.
  • E. introduced
    Indicates that one entity caused another entity to become known, presented, or brought into use for the first time to a person, group, or context.
  • 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eae611f88190955fbebe2b01835b completed Feb. 28, 2026, 1:17 p.m.
PD Predicate disambiguation batch_69a2e95197fc8190820e8ebd0d7d27fa completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.