Triple
T38692548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Health Sciences |
E949308
|
entity |
| Predicate | offersTypeOfProgram |
P41755
|
FINISHED |
| Object | professional program |
—
|
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: professional program | Statement: [College of Health Sciences, offersTypeOfProgram, professional program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersTypeOfProgram Context triple: [College of Health Sciences, offersTypeOfProgram, professional program]
-
A.
offersProgramsOf
Indicates that one entity provides or makes available specific programs associated with another entity.
-
B.
offersProgramFormat
chosen
Indicates that an entity provides or makes available a specific type or format of program.
-
C.
offersProgramsFor
Indicates that one entity provides or makes available specific programs or courses intended for another entity.
-
D.
offersProgramsIn
Indicates that an institution or provider makes educational or training programs available in a particular field, subject, or area.
-
E.
offeredFamilyOfPrograms
Indicates that an entity provides or makes available a specific family or group of related programs.
- 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_69f76efe16148190befd5dd59c3dfeaa |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fedec693b08190b0f8bfdb921e0766 |
completed | May 9, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69fede16c1d48190a20d8a9c5722c307 |
completed | May 9, 2026, 7:11 a.m. |
Created at: May 3, 2026, 4:33 p.m.