Triple
T25594058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Representation Act, 2011 |
E641598
|
entity |
| Predicate | chamberOfConsideration |
P82767
|
FINISHED |
| Object | Senate of Canada |
—
|
NE NERFINISHED |
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: Senate of Canada | Statement: [Representation Act, 2011, chamberOfConsideration, Senate of Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chamberOfConsideration Context triple: [Representation Act, 2011, chamberOfConsideration, Senate of Canada]
-
A.
chamberOf
Indicates that one entity is a chamber, room, or enclosed space that is part of, contained within, or assigned to another entity.
-
B.
votingSystemChamber
Indicates the specific legislative chamber in which a given voting system is used or applies.
-
C.
forChamber
Indicates that something is intended for use in, associated with, or belonging to a particular chamber.
-
D.
partOfChamber
Indicates that one entity is a component or section within a larger chamber or enclosed space.
-
E.
passedChamber
chosen
Indicates that a proposed measure or bill has been approved by a specific legislative chamber.
- 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_69e75dc60d108190b7e2419e36b0134b |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f96f9c408190a0507dc73bd69a82 |
completed | May 2, 2026, 1:17 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 4:26 p.m.