Triple
T9107601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UK maritime colleges |
E218514
|
entity |
| Predicate | offerQualification |
P78552
|
FINISHED |
| Object | Certificates of Competency |
—
|
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: Certificates of Competency | Statement: [UK maritime colleges, offerQualification, Certificates of Competency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offerQualification Context triple: [UK maritime colleges, offerQualification, Certificates of Competency]
-
A.
offersQualificationType
chosen
Indicates that an entity provides or makes available a specific type or category of qualification.
-
B.
offersGrade
Indicates that one entity assigns or provides an academic grade or evaluation to another entity.
-
C.
providedQualificationFor
Indicates that one entity supplied or granted a qualification, credential, or certification that another entity possesses or uses.
-
D.
offersAccess
Indicates that one entity provides another entity with the ability or permission to use, enter, or interact with a resource, service, or location.
-
E.
conditionOfOffer
Indicates the terms, requirements, or circumstances under which an offer is valid or applies.
- 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_69ca83db7448819090d0a5de842ef2ac |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca573da0081909f4afcdb3ac99c53 |
completed | April 1, 2026, 4:56 a.m. |
| PD | Predicate disambiguation | batch_69cc65fe5be081909d4470d6317b14a6 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:16 p.m.