Triple
T15632919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Vincent’s C.B.S., Glasnevin |
E375863
|
entity |
| Predicate | offersExamination |
P86246
|
FINISHED |
| Object | Junior Cycle examinations |
—
|
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: Junior Cycle examinations | Statement: [St. Vincent’s C.B.S., Glasnevin, offersExamination, Junior Cycle examinations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersExamination Context triple: [St. Vincent’s C.B.S., Glasnevin, offersExamination, Junior Cycle examinations]
-
A.
offersExaminations
chosen
Indicates that one entity provides or makes available examinations or tests to another entity.
-
B.
offersAccess
Indicates that one entity provides another entity with the ability or permission to use, enter, or interact with a resource, service, or location.
-
C.
offersEdition
Indicates that one entity provides or makes available a particular version or edition of another entity.
-
D.
offersViewOf
Indicates that one entity provides a vantage point from which another entity can be seen or visually appreciated.
-
E.
offersProcess
Indicates that one entity provides or makes available a particular process for use by another entity.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb7338881909f3c430bb73f91d1 |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda868d4481908f4bce1c64d2902a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:14 a.m.