Triple

T7340781
Position Surface form Disambiguated ID Type / Status
Subject Guernsey law E169240 entity
Predicate primaryLegislationForm P2588 FINISHED
Object Loi 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: Loi | Statement: [Guernsey law, primaryLegislationForm, Loi]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryLegislationForm
Context triple: [Guernsey law, primaryLegislationForm, Loi]
  • A. enablingLegislationFor
    Indicates that one piece of legislation provides the legal authority, framework, or permission necessary for another law, program, or action to exist or operate.
  • B. typeOfLegislation chosen
    Indicates the specific category or kind of legislation that a given legal act or measure belongs to.
  • C. legislatedUnder
    Indicates that a law, regulation, or policy was created, enacted, or established according to the authority, framework, or provisions of a specific higher-level law or legal regime.
  • D. hasSecondaryLegislation
    Indicates that a primary law or regulation is accompanied by subordinate or implementing secondary legislation that provides additional detail or rules.
  • E. areaOfLegislation
    Indicates that one entity defines, concerns, or governs the legal domain or subject matter covered by another entity.
  • 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_69c68a57710481909f0c1f3c6ebdb6f2 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f347f25081908e6086d4073295f5 completed March 27, 2026, 9:14 p.m.
PD Predicate disambiguation batch_69c6f028fd748190b2ea5c3081958a42 completed March 27, 2026, 9:01 p.m.
Created at: March 27, 2026, 3:04 p.m.