Triple
T28153993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian Armed Forces justice system |
E714693
|
entity |
| Predicate | includesOffenceCategory |
P67290
|
FINISHED |
| Object | service offences |
—
|
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: service offences | Statement: [Canadian Armed Forces justice system, includesOffenceCategory, service offences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesOffenceCategory Context triple: [Canadian Armed Forces justice system, includesOffenceCategory, service offences]
-
A.
includesOffenseType
chosen
Indicates that one entity contains, specifies, or is associated with a particular category or type of offense.
-
B.
includesDisciplineCategory
Indicates that one entity encompasses or contains a specific discipline category as part of its overall scope or classification.
-
C.
appliesToOffencesWithMaximumPenalty
Indicates that the relationship or rule is relevant only to offences whose maximum legal penalty meets a specified threshold or condition.
-
D.
definesOffence
Indicates that one entity specifies or establishes the nature, elements, or scope of an offence associated with another entity.
-
E.
containsCategory
Indicates that one entity includes or encompasses a specific category as part of its classification or organizational structure.
- 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_69fec25f0fc48190b87ab1f9cd1eb0de |
completed | May 9, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69fec079a770819098df7cc3049df954 |
completed | May 9, 2026, 5:04 a.m. |
Created at: April 27, 2026, 10:01 p.m.