Triple
T1856560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Algonquin College |
E41716
|
entity |
| Predicate | offersDistanceEducation |
P7876
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Algonquin College, offersDistanceEducation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersDistanceEducation Context triple: [Algonquin College, offersDistanceEducation, yes]
-
A.
offersEducationTo
Indicates that one entity provides educational services, instruction, or learning opportunities to another entity.
-
B.
offersContinuingEducation
Indicates that an entity provides ongoing educational or professional development opportunities to another entity.
-
C.
offersDegree
Indicates that an institution or program provides a specific academic degree as an available qualification.
-
D.
offersEducationMode
chosen
Indicates that an entity provides a particular mode or format in which education or instruction is delivered.
-
E.
offersBasicEducationComponent
Indicates that an entity provides a fundamental or introductory educational component as part of its offerings.
- 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb231de14819091da3a20ed03c430 |
completed | March 7, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69abafde4598819099d8229128348fd3 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:33 p.m.