Triple

T30645309
Position Surface form Disambiguated ID Type / Status
Subject Lay magistrates E780103 entity
Predicate hasLegalQualificationRequirement P32185 FINISHED
Object no formal legal qualification required 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: no formal legal qualification required | Statement: [Lay magistrates, hasLegalQualificationRequirement, no formal legal qualification required]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLegalQualificationRequirement
Context triple: [Lay magistrates, hasLegalQualificationRequirement, no formal legal qualification required]
  • A. hasQualification
    Indicates that an entity possesses a specific qualification, credential, or competency.
  • B. hasLegalStatus
    Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
  • C. hasProfessionalStatusRequirement chosen
    Indicates that something is subject to a condition specifying a particular professional status that must be held or met.
  • D. hasQualificationCriteria
    Indicates that there are specific conditions or standards that must be met for something to be considered eligible or acceptable.
  • E. hasLegalRank
    Indicates that an entity holds a specific legal status, classification, or rank within a formal legal or regulatory system.
  • 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_69f224a50ebc81909b961a94c7f66b12 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fce7671f108190bf3ebf54339068b5 completed May 7, 2026, 7:26 p.m.
PD Predicate disambiguation batch_69fce5b5a84c81908ac1b5b9f08d48d0 completed May 7, 2026, 7:19 p.m.
Created at: April 29, 2026, 8:29 p.m.