Triple
T6376599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitchener campus |
E143481
|
entity |
| Predicate | hostsProgramType |
P62094
|
FINISHED |
| Object | pharmacy programs |
—
|
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: pharmacy programs | Statement: [Kitchener campus, hostsProgramType, pharmacy programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostsProgramType Context triple: [Kitchener campus, hostsProgramType, pharmacy programs]
-
A.
hostsPrograms
chosen
Indicates that one entity provides the venue, platform, or infrastructure for programs organized, run, or presented by another entity.
-
B.
hostsTypeOfEvent
Indicates that an entity organizes or provides the venue for a particular type or category of event.
-
C.
hostType
Indicates the category or kind of host associated with or responsible for the related entity or activity.
-
D.
hostedShow
Indicates that one entity served as the host or presenter of a particular show or program involving the other entity.
-
E.
programType
Indicates the category or kind of program to which an entity belongs or with which it is associated.
- 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_69c008d9f4348190ab598a2913259a1c |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0683bfc7081908b15c3c9a3c72e7b |
completed | March 22, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69c060ee055081908c79a1d151bd74cd |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:33 p.m.