Triple
T32610058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portuguese Canadians |
E833629
|
entity |
| Predicate | primarySettlementCity |
—
|
GENERATED |
| Object | Toronto |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primarySettlementCity Context triple: [Portuguese Canadians, primarySettlementCity, Toronto]
-
A.
primaryCity
Indicates that one city serves as the main or most important city associated with a given region, entity, or context.
-
B.
primaryTown
Indicates that a given town is the main or most important town associated with an entity (such as a person, organization, or region).
-
C.
primarySettlementOrigin
Indicates that one settlement is the main or original source from which another settlement was founded or developed.
-
D.
principalCityOf
Indicates that a city serves as the main or most important city (often administrative, economic, or cultural center) of a specified region or area.
-
E.
primaryLocationCity
chosen
Indicates the city that serves as the main or primary location associated with the subject.
- F. None of above.
Provenance (1 batch)
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_69f3492bfa648190b6ae472074634e29 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:06 a.m.