Triple

T36460995
Position Surface form Disambiguated ID Type / Status
Subject September Laws (1983) in Sudan E898286 entity
Predicate legalSystemAffected P16986 FINISHED
Object Sudanese criminal justice system 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: Sudanese criminal justice system | Statement: [September Laws (1983) in Sudan, legalSystemAffected, Sudanese criminal justice system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalSystemAffected
Context triple: [September Laws (1983) in Sudan, legalSystemAffected, Sudanese criminal justice system]
  • A. legalSystem
    Indicates the formal framework of laws, rules, and institutions that governs how legal matters are defined, interpreted, and enforced within a society or jurisdiction.
  • B. relatedLegalSystem chosen
    Indicates that there is an association or connection between two legal systems, such as influence, similarity, shared origin, or mutual relevance.
  • C. legalSystemDepictedAs
    Indicates that one entity portrays, represents, or characterizes a legal system in a particular way or form.
  • D. legalSystemBasis
    Indicates the foundational legal framework, tradition, or set of principles on which a legal system is based.
  • E. legalSystemWorkedIn
    Indicates that a person carried out their professional legal activities within a particular legal system or jurisdiction.
  • 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_69f76e57f08481908593bd0bc34581c8 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69ffc3f0b19c8190b5a749bc3cad21dd completed May 9, 2026, 11:32 p.m.
PD Predicate disambiguation batch_69ffc1b882808190932b2d43ea5537c9 completed May 9, 2026, 11:22 p.m.
Created at: May 3, 2026, 4:10 p.m.