Triple
T28009813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruce Power Nuclear Generating Station |
E707383
|
entity |
| Predicate | provinceSupplied |
P181738
|
FINISHED |
| Object | Ontario |
—
|
NE NERFINISHED |
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: [Bruce Power Nuclear Generating Station, provinceSupplied, Ontario]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: provinceSupplied Context triple: [Bruce Power Nuclear Generating Station, provinceSupplied, Ontario]
-
A.
provinceName
Indicates that a province entity is associated with its specific name as a textual label.
-
B.
provinceRepresents
Indicates that a province acts on behalf of, or serves as the official administrative or political representative of, another entity.
-
C.
provinceOfficial
Indicates that an individual holds an official governmental position within a specific province.
-
D.
provinceOf
Indicates that one administrative region functions as a province belonging to or governed by a larger territorial or political entity.
-
E.
provinceExistedFrom
Indicates the starting point in time from which a province began to exist or was officially established.
- 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_69ef96ba350c81908230d0b501b974c4 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f7824dc3f0819092a5102895b4a478 |
completed | May 3, 2026, 5:13 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f7817c79e081908e685c48165e086b |
completed | May 3, 2026, 5:10 p.m. |
Created at: April 27, 2026, 8:03 p.m.