Triple
T24906704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1993 Canadian federal election |
E623727
|
entity |
| Predicate | totalElectorsOnLists |
P16492
|
FINISHED |
| Object | 18,422,478 |
—
|
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: 18,422,478 | Statement: [1993 Canadian federal election, totalElectorsOnLists, 18,422,478]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalElectorsOnLists Context triple: [1993 Canadian federal election, totalElectorsOnLists, 18,422,478]
-
A.
electoralList
Indicates that an entity is part of, or associated with, a specific electoral list used in an election.
-
B.
numberOfElectors
chosen
Indicates the total count of electors associated with a given entity or context.
-
C.
numberOfElectorates
Indicates the total count of electoral districts or constituencies associated with a given entity.
-
D.
totalNumberOfLegislators
Indicates the total count of legislators associated with a given political body, jurisdiction, or legislative session.
-
E.
hasElectorsFrom
Indicates that an entity possesses or is associated with electors originating from a specified source or group.
- 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_69e2fac797cc8190b30d77f4121099ac |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 5:27 a.m.