Triple

T31063484
Position Surface form Disambiguated ID Type / Status
Subject National Preventive Mechanisms E791607 entity
Predicate legalFrameworkArticle P156188 FINISHED
Object OPCAT Article 3 NE NERFINISHED

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: OPCAT Article 3 | Statement: [National Preventive Mechanisms, legalFrameworkArticle, OPCAT Article 3]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalFrameworkArticle
Context triple: [National Preventive Mechanisms, legalFrameworkArticle, OPCAT Article 3]
  • A. countryLegalFramework
    Indicates the legal system, regulations, and institutional rules that govern actions and relationships within a given country.
  • B. legalFrameworkStatus
    Indicates the current legal or regulatory standing or condition of a given framework within a specified jurisdiction or context.
  • C. legalDoctrine
    Indicates that one legal principle, rule, or theory is being applied, referenced, or relied upon as an authoritative basis for interpreting or deciding a legal issue.
  • D. legalElement chosen
    Indicates that something is a constituent part or component required or recognized within a legal framework, rule, or process.
  • E. legalCodeFocus
    Indicates that something is specifically concerned with, centered on, or primarily addressing a particular legal code or body of law.
  • 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_69f224cc0c5c81908404f087bff92997 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fe78e545888190a239af1a84280fa0 completed May 8, 2026, 11:59 p.m.
PD Predicate disambiguation batch_69fe7842742081908043eb950ed69f92 completed May 8, 2026, 11:56 p.m.
Created at: April 29, 2026, 9:01 p.m.