Triple

T23003706
Position Surface form Disambiguated ID Type / Status
Subject judicial scrivener associations E572700 entity
Predicate mayDiscipline P70859 FINISHED
Object member judicial scriveners 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: member judicial scriveners | Statement: [judicial scrivener associations, mayDiscipline, member judicial scriveners]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayDiscipline
Context triple: [judicial scrivener associations, mayDiscipline, member judicial scriveners]
  • A. usedForDiscipline
    Indicates that one entity is employed as a means or tool to impose discipline or enforce behavioral control on another entity.
  • B. hasDisciplinaryApproach
    Indicates that an entity employs, follows, or is characterized by a particular disciplinary method, framework, or approach.
  • C. disciplineIssues
    Indicates that one entity has recorded or is associated with disciplinary problems, violations, or behavior issues involving another entity.
  • D. hasDisciplineSystem chosen
    Indicates that an entity possesses or is governed by a particular system of rules, methods, or practices for maintaining discipline.
  • E. parentDiscipline
    Indicates that one discipline is the broader, higher-level field from which another, more specialized discipline derives or is categorized.
  • 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_69e245b6a3ac81908087599eefe3e365 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183556cd08190b18780680bc4f23e completed April 29, 2026, 4:04 a.m.
PD Predicate disambiguation batch_69ef3b9cd5488190bcd23183179f48cd completed April 27, 2026, 10:34 a.m.
Created at: April 17, 2026, 3:50 p.m.