Triple

T12975564
Position Surface form Disambiguated ID Type / Status
Subject United Kingdom law E321514 entity
Predicate hasCriminalCodeForm P107869 FINISHED
Object non‑codified criminal law (England and Wales) 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: non‑codified criminal law (England and Wales) | Statement: [United Kingdom law, hasCriminalCodeForm, non‑codified criminal law (England and Wales)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCriminalCodeForm
Context triple: [United Kingdom law, hasCriminalCodeForm, non‑codified criminal law (England and Wales)]
  • A. haveCriminalLaw
    Indicates that an entity possesses, applies, or is governed by a system or body of criminal law.
  • B. hasCrimeElement
    Indicates that a situation, action, or entity involves or contains a component that is legally recognized as part of a crime.
  • C. hasHadCriminalConviction
    Indicates that an entity has previously been found guilty of a criminal offense through a legal process.
  • D. hasCriminalJurisdictionOver
    Indicates that one authority or legal body holds the power to investigate, prosecute, and adjudicate criminal offenses committed within a specified scope or territory in relation to another entity.
  • E. hasFirstConviction
    Indicates that an entity has received its first legal conviction for an offense.
  • F. None of above. chosen

Provenance (4 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97f2a71a0819098bb6cf8a4b2208a completed April 10, 2026, 10:52 p.m.
PD Predicate disambiguation batch_69d97dbdd94c8190ac4bbecca02dc77b completed April 10, 2026, 10:46 p.m.
PDg Predicate description generation batch_69d97f1badac8190a59e60751f47b8d6 completed April 10, 2026, 10:52 p.m.
Created at: April 9, 2026, 8:37 p.m.