Triple
T32610060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portuguese Canadians |
E833629
|
entity |
| Predicate | primarySettlementProvince |
P79461
|
FINISHED |
| Object | Ontario |
E3554
|
NE 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: Ontario | Statement: [Portuguese Canadians, primarySettlementProvince, Ontario]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primarySettlementProvince Context triple: [Portuguese Canadians, primarySettlementProvince, Ontario]
-
A.
traditionalProvince
Indicates that an entity is located in, associated with, or belongs to a historically recognized or customary provincial region rather than a modern administrative unit.
-
B.
governingProvince
Indicates that one administrative unit or authority has official governing control over a specified province.
-
C.
baseProvince
chosen
Indicates that one administrative or territorial unit serves as the primary or originating province associated with another entity.
-
D.
centralProvince
Indicates that a province occupies a central or middle position within a larger geographic, political, or administrative region.
-
E.
formerProvince
Indicates that an entity was previously a province of another entity but no longer holds that administrative status.
- F. None of above.
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_69f3492bfa648190b6ae472074634e29 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34929988dc81908b400f69e1cd2b16 |
completed | June 19, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:06 a.m.