Triple

T28153957
Position Surface form Disambiguated ID Type / Status
Subject Canadian military law E714692 entity
Predicate includesOffences P67290 FINISHED
Object disciplinary offences specific to military service 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: disciplinary offences specific to military service | Statement: [Canadian military law, includesOffences, disciplinary offences specific to military service]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesOffences
Context triple: [Canadian military law, includesOffences, disciplinary offences specific to military service]
  • A. includesOffenseType chosen
    Indicates that one entity contains, specifies, or is associated with a particular category or type of offense.
  • B. definesOffence
    Indicates that one entity specifies or establishes the nature, elements, or scope of an offence associated with another entity.
  • C. appliesToOffencesWithMaximumPenalty
    Indicates that the relationship or rule is relevant only to offences whose maximum legal penalty meets a specified threshold or condition.
  • D. excludedCrimes
    Indicates that certain crimes are specifically omitted or not covered within a given legal, contractual, or policy context.
  • E. includesCrimesAgainstSociety
    Indicates that the referenced entity involves, encompasses, or is associated with offenses classified as crimes against society (such as public order, moral, or regulatory violations).
  • 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_69efd6b033208190bf74f80a147e2092 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69fec00f27988190955de6b6348a4d97 completed May 9, 2026, 5:03 a.m.
PD Predicate disambiguation batch_69febd52037c8190b475dbd50fdbc13e completed May 9, 2026, 4:51 a.m.
Created at: April 27, 2026, 10:01 p.m.