Triple
T23539707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 46th Canadian federal election |
E577704
|
entity |
| Predicate | willFill |
P6078
|
FINISHED |
| Object | all seats in the House of Commons of Canada |
—
|
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: all seats in the House of Commons of Canada | Statement: [46th Canadian federal election, willFill, all seats in the House of Commons of Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: willFill Context triple: [46th Canadian federal election, willFill, all seats in the House of Commons of Canada]
-
A.
wasInfilling
Indicates that one entity was in the process of filling or occupying a space, gap, or area within another entity or context.
-
B.
mayBeFilledBy
Indicates that one entity has the potential or permission to be occupied, completed, or satisfied by another entity.
-
C.
isTypicallyFilledWith
Indicates that one entity is commonly or usually occupied, loaded, or contained by another entity.
-
D.
will
chosen
Indicates that an entity is going to perform an action or be in a certain state in the future.
-
E.
wouldProvide
Indicates that one entity is willing or expected to supply or furnish something to another entity under certain conditions.
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae1a66b88190811b38523ea606fe |
completed | April 29, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69f118afabd88190bd88f49597d120e8 |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:10 p.m.