Triple
T6146787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Five banks of Canada |
E137097
|
entity |
| Predicate | typicalOwnership |
P12230
|
FINISHED |
| Object | publicly traded companies |
—
|
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: publicly traded companies | Statement: [Big Five banks of Canada, typicalOwnership, publicly traded companies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalOwnership Context triple: [Big Five banks of Canada, typicalOwnership, publicly traded companies]
-
A.
ownershipType
Indicates the specific nature or category of the ownership relationship that one entity holds over another.
-
B.
ownershipCharacteristic
Indicates that one entity possesses a particular quality, attribute, or condition specifically in its role as an owner of another entity.
-
C.
typicalIn
chosen
Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
-
D.
ownedIn
Indicates that one entity possesses or holds legal or recognized ownership of another entity within a specific context, domain, or scope.
-
E.
typicalUnitType
Indicates that one entity is the standard or commonly used unit type associated with measuring or expressing the other 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_69c008a2c6308190a56519b22d55d083 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cdeeaa88190948d9db6eb2dbf46 |
completed | March 22, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69c055f39e0881909ae56444b1b48929 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:16 p.m.