Triple

T25814945
Position Surface form Disambiguated ID Type / Status
Subject administrative courts of Egypt E650222 entity
Predicate applyLaw P81698 FINISHED
Object Egyptian constitutional principles 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: Egyptian constitutional principles | Statement: [administrative courts of Egypt, applyLaw, Egyptian constitutional principles]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: applyLaw
Context triple: [administrative courts of Egypt, applyLaw, Egyptian constitutional principles]
  • A. appliesLawThrough
    Indicates that one entity enforces, implements, or carries out a law or legal rule by means of another entity or mechanism.
  • B. appliedLawFrom chosen
    Indicates that a specific law or legal provision was applied or derived from a particular source, context, or jurisdiction in a legal decision or situation.
  • C. legalCodeFocus
    Indicates that something is specifically concerned with, centered on, or primarily addressing a particular legal code or body of law.
  • D. lawLibrary
    Indicates a relationship where a location or resource functions as a library specifically dedicated to legal materials, services, or research.
  • E. haveLaw
    Indicates that a governing body or jurisdiction possesses, enforces, or is characterized by a particular law or set of laws.
  • 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_69e7ab367fcc8190a5ff1e7f3da046a4 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f600c84ac4819091492e52a5a8b873 completed May 2, 2026, 1:48 p.m.
PD Predicate disambiguation batch_69f4a0fed15881909b789251fe5d8d45 completed May 1, 2026, 12:47 p.m.
Created at: April 22, 2026, 7:25 a.m.