Triple
T10577531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government of Upper Canada |
E249647
|
entity |
| Predicate | hadFranchiseSystem |
P94733
|
FINISHED |
| Object | property-based male suffrage |
—
|
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: property-based male suffrage | Statement: [Government of Upper Canada, hadFranchiseSystem, property-based male suffrage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadFranchiseSystem Context triple: [Government of Upper Canada, hadFranchiseSystem, property-based male suffrage]
-
A.
hadFranchise
Indicates that one entity possessed or operated a franchise right or franchise unit of another entity.
-
B.
establishedAsFranchise
Indicates that an entity has been set up or designated to operate as a franchise under a broader brand or business system.
-
C.
franchiseOf
Indicates that one entity operates as a franchise belonging to or licensed by another entity.
-
D.
hasFranchiseSlot
Indicates that an entity holds or is assigned a specific franchise position, license, or allocation within a larger franchising structure.
-
E.
hasMajorFranchise
Indicates that an entity possesses or is associated with a primary, large-scale franchise within a broader domain or organization.
- 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_69d381c8bd708190acf3d275c908251e |
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_69d51901ff6c819095e7b528170a69dc |
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.