Triple
T10578233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reformers in Upper Canada |
E249664
|
entity |
| Predicate | demandedReformFrom |
P94743
|
FINISHED |
| Object | colonial governor of Upper Canada |
—
|
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: colonial governor of Upper Canada | Statement: [Reformers in Upper Canada, demandedReformFrom, colonial governor of Upper Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demandedReformFrom Context triple: [Reformers in Upper Canada, demandedReformFrom, colonial governor of Upper Canada]
-
A.
subjectToReformBy
Indicates that an entity is undergoing or designated for changes, improvements, or restructuring carried out by another entity.
-
B.
reform
Indicates bringing about significant changes to an existing system, practice, or entity in order to improve or correct it.
-
C.
seeksToReform
Indicates an entity’s intention or effort to change an existing system, practice, or condition in order to improve or correct it.
-
D.
reformInfluencedBy
Indicates that a reform was shaped, guided, or significantly affected by another person, idea, event, or reform.
-
E.
reformerOf
Indicates that one entity is the person or agent who initiated or carried out significant reforms or changes to another entity.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52756ff1c8190a85022748ca58ba5 |
completed | April 7, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69d51907b2b881908ab9a8594688ee06 |
completed | April 7, 2026, 2:47 p.m. |
| PDg | Predicate description generation | batch_69d5270eca0481908573b698390c5b08 |
completed | April 7, 2026, 3:47 p.m. |
Created at: April 6, 2026, 12:38 p.m.