Triple
T33859252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King-in-Council (federal Cabinet) |
E867876
|
entity |
| Predicate | legalActsFormalizedAs |
P115909
|
FINISHED |
| Object | orders-in-council |
—
|
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: orders-in-council | Statement: [King-in-Council (federal Cabinet), legalActsFormalizedAs, orders-in-council]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalActsFormalizedAs Context triple: [King-in-Council (federal Cabinet), legalActsFormalizedAs, orders-in-council]
-
A.
legalForm
Indicates the specific legal structure or organizational type under which an entity is formally constituted and recognized by law.
-
B.
legalAct
Indicates that an entity performs, enacts, or is involved in a formal legal action, measure, or proceeding under a legal framework.
-
C.
isFormalizedBy
Indicates that something is given a defined, structured, or official form through a specific method, process, or representation.
-
D.
formulatesLaw
Indicates that an entity creates, drafts, or establishes a law or legal rule that governs others.
-
E.
formulatesLawsAs
chosen
Indicates that one entity expresses or codifies laws, rules, or principles in the form or framework represented by another 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_69f349943ccc8190a3c41a3e0ae46cbf |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff46afe7e481908f2862ed11c88db2 |
completed | May 9, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69ff45e9151881909c444a655e852165 |
completed | May 9, 2026, 2:34 p.m. |
Created at: May 1, 2026, 1:47 a.m.