Triple
T11159454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oakes test |
E263994
|
entity |
| Predicate | originCaseCitation |
P13315
|
FINISHED |
| Object | [1986] 1 SCR 103 |
—
|
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: [1986] 1 SCR 103 | Statement: [Oakes test, originCaseCitation, [1986] 1 SCR 103]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originCaseCitation Context triple: [Oakes test, originCaseCitation, [1986] 1 SCR 103]
-
A.
formerLegalCitation
Indicates that one legal citation previously referred to or governed a matter but has since been replaced, superseded, or is no longer the current controlling citation.
-
B.
legalCitationSystem
Indicates a system or convention used to reference and identify legal authorities such as cases, statutes, or regulations.
-
C.
legalCitation
Indicates that one legal document, case, or authority formally references or cites another as a source of legal support or precedent.
-
D.
legalCitationNumber
Indicates the specific identifying number assigned to a legal citation that references a law, case, or legal document.
-
E.
originalCitationForm
chosen
Indicates the relationship where one form of a cited work is the initial or primary version from which other citation forms or variants are derived.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8817a90819087820d5241c58851 |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75cec26fc8190a5497d186306f935 |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.