Triple
T25771394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Member of Parliament of Canada |
E649029
|
entity |
| Predicate | remunerationSource |
P51740
|
FINISHED |
| Object | federal public funds |
—
|
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: federal public funds | Statement: [Member of Parliament of Canada, remunerationSource, federal public funds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: remunerationSource Context triple: [Member of Parliament of Canada, remunerationSource, federal public funds]
-
A.
employerContributionSource
Indicates that a contribution originates from an employer as the paying or funding source.
-
B.
memberRemuneration
chosen
Indicates that a member receives payment or compensation, typically for their role, services, or participation within an organization or group.
-
C.
revenueSources
Indicates the relationship identifying where an entity’s revenue comes from or the different streams that generate its income.
-
D.
wealthSource
Indicates the relationship by which an entity obtains or derives its wealth from a particular source.
-
E.
hasNoAdditionalRemuneration
Indicates that an entity does not receive any extra payment or compensation beyond the primary agreed remuneration.
- 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_69e7ab333b508190b6d708d8d9a328ed |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fdf84fb88190b40280340332743e |
completed | May 2, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 5:30 a.m.