Triple
T2592802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puisne Justice of the Supreme Court of Canada |
E58160
|
entity |
| Predicate | totalNumberOfJudgesOnCourt |
P26911
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [Puisne Justice of the Supreme Court of Canada, totalNumberOfJudgesOnCourt, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalNumberOfJudgesOnCourt Context triple: [Puisne Justice of the Supreme Court of Canada, totalNumberOfJudgesOnCourt, 9]
-
A.
numberOfJudges
Indicates the total count of judges associated with a particular case, event, or entity.
-
B.
numberOfCourts
Indicates the quantity of courts associated with or present at a given entity or location.
-
C.
minimumNumberOfJustices
Indicates the smallest number of justices required for a court or judicial body to validly conduct its proceedings or make decisions.
-
D.
numberOfLordsJusticesOfAppeal
Indicates the quantity of individuals serving as Lords Justices of Appeal associated with a given entity or context.
-
E.
numberOfSupremeCourtJustices
chosen
Indicates the total count of individuals serving as justices on a specified Supreme Court.
- 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_69ab4ac019c8819094add11c46706e32 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd426e2d4819081a07920b4d2a1cc |
completed | March 7, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69abd0d344988190a18dd93b13e002e6 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.