Triple

T4329233
Position Surface form Disambiguated ID Type / Status
Subject Manx law E96707 entity
Predicate criminalLawBasedOn P52875 FINISHED
Object local statutes 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: local statutes | Statement: [Manx law, criminalLawBasedOn, local statutes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: criminalLawBasedOn
Context triple: [Manx law, criminalLawBasedOn, local statutes]
  • A. haveCriminalLaw chosen
    Indicates that an entity possesses, applies, or is governed by a system or body of criminal law.
  • B. crimeType
    Indicates the specific category or nature of the crime associated with an event or entity.
  • C. crimeListedInArticleIII
    Indicates that a particular crime is one of the offenses expressly mentioned in Article III of the relevant constitution or legal document.
  • D. committedCrime
    Indicates that an entity has carried out or been responsible for a criminal act or offense.
  • E. isCriminalizedIn
    Indicates that a specific behavior, action, or condition is prohibited and subject to legal penalties within a particular jurisdiction or legal system.
  • 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_69b34542fd908190b11b08faad8decfd completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3513545fc81909e29de7eae1829f7 completed March 12, 2026, 11:50 p.m.
PD Predicate disambiguation batch_69b34f4e13fc8190a42c519f37959d27 completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:13 p.m.