Triple
T6764927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilmington University |
E154693
|
entity |
| Predicate | deliveryFormat |
P10739
|
FINISHED |
| Object | hybrid courses |
—
|
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: hybrid courses | Statement: [Wilmington University, deliveryFormat, hybrid courses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deliveryFormat Context triple: [Wilmington University, deliveryFormat, hybrid courses]
-
A.
deliveryType
Indicates the method or mode by which a product, service, or item is delivered or fulfilled.
-
B.
deliveryMode
chosen
Indicates the method or channel through which something (such as a product, service, or information) is delivered or provided.
-
C.
format
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
D.
distributedFormat
Indicates that an entity is made available or disseminated in a particular format or medium.
-
E.
deliveredAs
Indicates that something is provided, transmitted, or presented in a particular form, manner, or role.
- 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_69c688109c1c8190added9a221292af0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d217bbfc81908c9e55efaf7f8594 |
completed | March 27, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69c6d094105881909c5806eb4afa6306 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:12 p.m.