Triple
T22518104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Alberta Hospital |
E556701
|
entity |
| Predicate | foundedAsInstitutionType |
P148697
|
FINISHED |
| Object | general hospital |
—
|
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: general hospital | Statement: [University of Alberta Hospital, foundedAsInstitutionType, general hospital]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedAsInstitutionType Context triple: [University of Alberta Hospital, foundedAsInstitutionType, general hospital]
-
A.
foundedWithInstitution
Indicates that an entity was established or created in conjunction with, or through the involvement of, a particular institution.
-
B.
foundedAtInstitution
Indicates that an entity (such as an organization, company, or group) was established or created at a particular institution.
-
C.
associatedInstitutionFounded
Indicates that the referenced institution was founded or established by, or in direct connection with, the subject entity.
-
D.
foundedOrganizationType
Indicates that an entity established or created an organization of a specified type (e.g., company, nonprofit, institution).
-
E.
establishedInstitution
Indicates that an entity founded, created, or formally set up an institution 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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15e2f5c308190a0e6755a24340917 |
completed | April 29, 2026, 1:26 a.m. |
| PD | Predicate disambiguation | batch_69ee625e3b408190a60c759fb0b28fe2 |
completed | April 26, 2026, 7:07 p.m. |
| PDg | Predicate description generation | batch_69ee8841e9cc81908d23b34215e3be71 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 16, 2026, 8:50 p.m.