Triple
T11367394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DCU Ryan Academy for Entrepreneurs |
E269243
|
entity |
| Predicate | typeOfProgramme |
P2192
|
FINISHED |
| Object | pre-accelerator |
—
|
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: pre-accelerator | Statement: [DCU Ryan Academy for Entrepreneurs, typeOfProgramme, pre-accelerator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfProgramme Context triple: [DCU Ryan Academy for Entrepreneurs, typeOfProgramme, pre-accelerator]
-
A.
programType
chosen
Indicates the category or kind of program to which an entity belongs or with which it is associated.
-
B.
notableProgramType
Indicates that the subject is recognized for or associated with a particular type or category of program.
-
C.
programmeName
Indicates that an entity has or is identified by a specific programme’s name.
-
D.
televisionShow
Indicates that one entity is a television show associated with, or featured in relation to, another entity.
-
E.
dramaType
Indicates the specific category or genre of drama that characterizes an entity or work.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69d7e7022d508190996f9be0847c2b41 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.