Triple
T16043080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crown in the Canadian provinces |
E389144
|
entity |
| Predicate | representedByInOntario |
P27096
|
FINISHED |
| Object | lieutenant governor of Ontario |
—
|
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: lieutenant governor of Ontario | Statement: [Crown in the Canadian provinces, representedByInOntario, lieutenant governor of Ontario]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representedByInOntario Context triple: [Crown in the Canadian provinces, representedByInOntario, lieutenant governor of Ontario]
-
A.
representedInCanadaBy
Indicates that one entity serves as the official representative or agent of another entity specifically within the jurisdiction of Canada.
-
B.
areRepresentedBy
Indicates that one entity serves as a representation, proxy, or stand-in for another entity.
-
C.
representedInProvincialLegislatureBy
chosen
Indicates that a geographic or political area is politically represented by a specific member or body in a provincial legislature.
-
D.
provinceRepresented
Indicates that an entity (such as a person or office) serves as the official representative of a particular province.
-
E.
representedFor
Indicates that one entity has acted or served as the official representative or proxy on behalf of another entity.
- F. None of above.
Provenance (3 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1826f34c081908005bb736f1c485d |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:56 a.m.