Triple
T2526959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maple Leaf |
E56056
|
entity |
| Predicate | operatorStyleCanada |
P39374
|
FINISHED |
| Object | VIA Rail branding |
—
|
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: VIA Rail branding | Statement: [Maple Leaf, operatorStyleCanada, VIA Rail branding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatorStyleCanada Context triple: [Maple Leaf, operatorStyleCanada, VIA Rail branding]
-
A.
operatorStyle
Indicates the manner or approach an operator uses to perform or manage an operation, such as their method, technique, or behavioral style in carrying out tasks.
-
B.
orderPrecedenceInCanada
Indicates the relative legal or procedural priority that one item holds over another specifically within the Canadian context.
-
C.
includesCanadianClubs
Indicates that the subject entity contains, features, or incorporates one or more Canadian clubs as part of its composition or membership.
-
D.
includesCanadianTerritoryPartially
Indicates that one entity geographically encompasses part, but not all, of the territory of Canada.
-
E.
certificationCanada
Indicates that an entity holds or is associated with a certification that is recognized, issued, or valid in Canada.
- 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_69ab4a48e4f081908f1218d244608659 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd255f0d081908d20cfb812c4bfc1 |
completed | March 7, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69abd0c2e34c8190a914d5c2afba147c |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd18e72a88190bdcf12b326d42fad |
completed | March 7, 2026, 7:19 a.m. |
Created at: March 6, 2026, 9:46 p.m.