Triple

T13430575
Position Surface form Disambiguated ID Type / Status
Subject Township of Armstrong E313595 entity
Predicate appliesFederalLaw P90195 FINISHED
Object laws of Canada 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: laws of Canada | Statement: [Township of Armstrong, appliesFederalLaw, laws of Canada]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliesFederalLaw
Context triple: [Township of Armstrong, appliesFederalLaw, laws of Canada]
  • A. federalLawAppliesFrom
    Indicates that a specified federal law becomes effective or governs starting from a particular point in time or jurisdictional context.
  • B. appliedToStatesOrFederal
    Indicates that something (such as a rule, policy, or action) is applicable to either state-level entities, the federal level, or both.
  • C. appliesLawThrough
    Indicates that one entity enforces, implements, or carries out a law or legal rule by means of another entity or mechanism.
  • D. legalCodeAppliesTo chosen
    Indicates that a particular legal code or statute is applicable to, or governs, a specified subject, situation, or entity.
  • E. usedInFederalSubject
    Indicates that something (such as a law, standard, or resource) is applied, implemented, or in effect within a specific federal subject (administrative region) of a country.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaed304ac8190a8021f749de8164c completed April 12, 2026, 2:40 p.m.
PD Predicate disambiguation batch_69d9a03926188190ab3948d1f5d3941f completed April 11, 2026, 1:13 a.m.
Created at: April 9, 2026, 9:40 p.m.