Triple
T25690001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mississauga—Lakeshore |
E644171
|
entity |
| Predicate | federalRepresentationType |
P160272
|
FINISHED |
| Object | single-member district |
—
|
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: single-member district | Statement: [Mississauga—Lakeshore, federalRepresentationType, single-member district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: federalRepresentationType Context triple: [Mississauga—Lakeshore, federalRepresentationType, single-member district]
-
A.
federalRepresentationLevel
Indicates the degree or tier at which an entity is represented within a federal governmental structure or system.
-
B.
shareFederalRepresentation
Indicates that two or more entities are represented by the same federal-level representative or body within a governmental system.
-
C.
isFederalDistrictRepresentation
Indicates that one entity serves as the official representative body or delegation for a federal district within a larger governmental or legislative structure.
-
D.
federalRepresentative
Indicates that one entity serves as an official representative of another entity at the federal (national) level of government.
-
E.
numberOfRepresentatives
Indicates the quantity of representatives associated with a given entity or unit.
- F. None of above. chosen
Provenance (4 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_69e77e8046888190b07ffa58c7e2c37a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f601f106a08190ad7b4537223dbd8c |
completed | May 2, 2026, 1:53 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f600be0de88190989611e952b03117 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 21, 2026, 8:15 p.m.