Triple

T8542196
Position Surface form Disambiguated ID Type / Status
Subject Customary Law Courts of Zimbabwe E202223 entity
Predicate procedureCharacteristic P41725 FINISHED
Object less formal than magistrates’ courts 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: less formal than magistrates’ courts | Statement: [Customary Law Courts of Zimbabwe, procedureCharacteristic, less formal than magistrates’ courts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: procedureCharacteristic
Context triple: [Customary Law Courts of Zimbabwe, procedureCharacteristic, less formal than magistrates’ courts]
  • A. methodCharacteristic chosen
    Indicates that a particular method or procedure possesses a specified property, feature, or quality.
  • B. hasSpecialProcedure
    Indicates that a particular entity is associated with or governed by a designated special procedure or process.
  • C. policyCharacteristic
    Indicates that a policy possesses a particular attribute, feature, or quality that characterizes how it is defined or operates.
  • D. projectCharacteristics
    Indicates the defining features, qualities, or attributes that characterize a particular project.
  • E. dataCharacteristic
    Indicates that one entity specifies a property, attribute, or feature that characterizes a given piece of data.
  • 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_69ca832461e88190a654c5e44e233aa8 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6e26be48190b10bc62fad178dad completed March 31, 2026, 3:23 p.m.
PD Predicate disambiguation batch_69cbd111bf988190be98c92a607c6456 completed March 31, 2026, 1:50 p.m.
Created at: March 30, 2026, 6:18 p.m.