Triple
T6162634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill C-51 (anti-terrorism legislation) |
E137476
|
entity |
| Predicate | createsOffence |
P26615
|
FINISHED |
| Object | advocating or promoting terrorism offences in general |
—
|
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: advocating or promoting terrorism offences in general | Statement: [Bill C-51 (anti-terrorism legislation), createsOffence, advocating or promoting terrorism offences in general]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createsOffence Context triple: [Bill C-51 (anti-terrorism legislation), createsOffence, advocating or promoting terrorism offences in general]
-
A.
definesOffence
chosen
Indicates that one entity specifies or establishes the nature, elements, or scope of an offence associated with another entity.
-
B.
committedCrime
Indicates that an entity has carried out or been responsible for a criminal act or offense.
-
C.
guiltyOf
Indicates that an entity has been judged or determined to have committed a particular offense, crime, or wrongful act.
-
D.
violationOf
Indicates that one entity breaches, disobeys, or infringes upon a rule, law, agreement, or right associated with another entity.
-
E.
crimeType
Indicates the specific category or nature of the crime associated with an event or entity.
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d5e8edc8190a7a394ee832bac9f |
completed | March 22, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69c055f5b81481908819515cdc334ae6 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:17 p.m.