Triple
T6205480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 45th Canadian federal election |
E138733
|
entity |
| Predicate | willLeadTo |
P18658
|
FINISHED |
| Object | formation of the next Canadian federal government |
—
|
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: formation of the next Canadian federal government | Statement: [45th Canadian federal election, willLeadTo, formation of the next Canadian federal government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: willLeadTo Context triple: [45th Canadian federal election, willLeadTo, formation of the next Canadian federal government]
-
A.
canLeadTo
chosen
Indicates that one entity, condition, or event has the potential to cause, result in, or bring about another.
-
B.
leadsInto
Indicates that one entity serves as an entry or transition point that directly connects or opens into another entity.
-
C.
trainingLeadsTo
Indicates that a process of training results in or brings about a particular outcome, state, or effect.
-
D.
wouldProvide
Indicates that one entity is willing or expected to supply or furnish something to another entity under certain conditions.
-
E.
launchesTo
Indicates that one entity initiates the sending or propulsion of another entity toward a specific destination or into a particular trajectory.
- 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_69c008acbea48190991c6b834bb45d65 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0626f85748190a94448117a85fd78 |
completed | March 22, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69c055fdea3c81908f5d910f0d36234a |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:20 p.m.