Triple
T33188998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Liberal Arts & Sciences |
E849551
|
entity |
| Predicate | supportsProgramsIn |
P206378
|
FINISHED |
| Object | multiple Humber College 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: multiple Humber College programs | Statement: [School of Liberal Arts & Sciences, supportsProgramsIn, multiple Humber College programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsProgramsIn Context triple: [School of Liberal Arts & Sciences, supportsProgramsIn, multiple Humber College programs]
-
A.
supportsProgramOf
Indicates that one entity provides assistance, resources, or endorsement to help another entity’s program operate or succeed.
-
B.
supportsProgrammesOf
Indicates that one entity provides assistance, resources, or endorsement to help another entity’s programmes operate or succeed.
-
C.
supportsProgramType
Indicates that one entity is capable of handling, offering, or being compatible with a specified type of program.
-
D.
supportingProgram
Indicates that one program provides assistance, resources, or backing to another program or initiative.
-
E.
supportProgram
Indicates that one entity provides assistance, resources, or services through an organized program to benefit or aid another entity.
- 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_69f3495e0f108190a6a7006f79f9c2c3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f338b881908e5593e45d764f4d |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:29 a.m.