Triple
T2136095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanata—Carleton |
E46656
|
entity |
| Predicate | electoralDistrictNumberingSystem |
P17877
|
FINISHED |
| Object | federal |
—
|
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 | Statement: [Kanata—Carleton, electoralDistrictNumberingSystem, federal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electoralDistrictNumberingSystem Context triple: [Kanata—Carleton, electoralDistrictNumberingSystem, federal]
-
A.
electoralDistrictType
Indicates the specific category or kind of electoral district associated with an entity (e.g., federal, state, local).
-
B.
electoralSystemContext
chosen
Indicates the electoral system or framework within which a political or electoral event, action, or relationship takes place.
-
C.
electoralSystemConcerned
Indicates that something is related to, affected by, or focused on a particular electoral system.
-
D.
electoralAreaOf
Indicates that a given electoral area (such as a district or ward) is the designated electoral division associated with a particular jurisdiction or entity.
-
E.
electoralPattern
Indicates a recurring or characteristic way in which elections or voting outcomes tend to occur or be distributed across contexts.
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbf74147c81908793c3694894f94a |
completed | March 7, 2026, 6:02 a.m. |
| PD | Predicate disambiguation | batch_69abbd96a3b0819081efbfef975e1513 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:44 p.m.