Triple

T33691943
Position Surface form Disambiguated ID Type / Status
Subject Phú Xuân E863206 entity
Predicate scriptUsedAdministratively P189470 FINISHED
Object classical Chinese 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: classical Chinese | Statement: [Phú Xuân, scriptUsedAdministratively, classical Chinese]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scriptUsedAdministratively
Context triple: [Phú Xuân, scriptUsedAdministratively, classical Chinese]
  • A. usedAdministrativeSystemOf
    Indicates that one entity made use of another entity’s administrative system to perform or manage its administrative functions.
  • B. isAdministeredOnce
    Indicates that the action or treatment is carried out a single time rather than repeatedly or continuously.
  • C. administrationMode
    Indicates the method or route by which something (typically a treatment or intervention) is delivered or applied.
  • D. isAdministeredOn
    Indicates that an action, treatment, or procedure is given or applied to a subject at a specific time or date.
  • E. notAdministeredBy
    Indicates that a particular treatment, medication, or intervention is explicitly not given or carried out by a specified agent or provider.
  • 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_69f3498662b48190904442c39df84fb7 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fbc36ce1f88190a7fa1656b714e107 completed May 6, 2026, 10:40 p.m.
PD Predicate disambiguation batch_69fbbd13595c81908719f52c3d37a7e8 completed May 6, 2026, 10:13 p.m.
PDg Predicate description generation batch_69fbc36bcac48190a726b40442c094d1 completed May 6, 2026, 10:40 p.m.
Created at: May 1, 2026, 1:43 a.m.