Triple

T20615964
Position Surface form Disambiguated ID Type / Status
Subject Maurage E506566 entity
Predicate subjectToRegionalLaw P16807 FINISHED
Object Walloon Region law 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: Walloon Region law | Statement: [Maurage, subjectToRegionalLaw, Walloon Region law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subjectToRegionalLaw
Context triple: [Maurage, subjectToRegionalLaw, Walloon Region law]
  • A. appliesLocalLaw
    Indicates that a legal rule, decision, or authority is governed by and enforced under the laws of a specific local jurisdiction.
  • B. legalCodeAppliesTo
    Indicates that a particular legal code or statute is applicable to, or governs, a specified subject, situation, or entity.
  • C. existsInJurisdiction chosen
    Indicates that an entity is located within, falls under, or is subject to the authority of a particular legal or administrative jurisdiction.
  • D. stateLawAppliesFrom
    Indicates that a particular state law becomes applicable starting from a specified point in time or under certain conditions.
  • E. legalJurisdiction
    Indicates the legal authority or geographic area whose laws and courts have the power to govern, regulate, or adjudicate matters involving the related entities.
  • 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aadbb3ac81908145f57fd6a94256 completed April 20, 2026, 10:38 p.m.
PD Predicate disambiguation batch_69e5a00c43308190b7ea58d559257e07 completed April 20, 2026, 3:39 a.m.
Created at: April 16, 2026, 11:41 a.m.