Triple
T4299899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seton Hill University |
E99806
|
entity |
| Predicate | sponsorsProgram |
P1807
|
FINISHED |
| Object | liberal arts education |
—
|
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: liberal arts education | Statement: [Seton Hill University, sponsorsProgram, liberal arts education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sponsorsProgram Context triple: [Seton Hill University, sponsorsProgram, liberal arts education]
-
A.
sponsoredPrograms
Indicates that an entity provides financial or resource support to specific programs or initiatives.
-
B.
agencyProgramme
Indicates that an agency is responsible for, manages, or is associated with a particular programme.
-
C.
sponsors
chosen
Indicates that one entity provides financial or material support to another, often in exchange for association, promotion, or fulfillment of certain activities or goals.
-
D.
agencyProgramName
Indicates the specific program or initiative name associated with or administered by an agency.
-
E.
logoProgram
Indicates that an entity serves as the logo or emblem used in a specific program, application, or software.
- 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_69b345528ebc8190b5abc7e95094792d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3509e8cb481909ccca7992aac31a3 |
completed | March 12, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69b347fe55a88190b77bab0c0f38e1aa |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:08 p.m.