Triple
T17915326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Institute of Technology at Taranaki |
E447910
|
entity |
| Predicate | typeOfProgrammes |
P2192
|
FINISHED |
| Object | certificate programmes |
—
|
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: certificate programmes | Statement: [Western Institute of Technology at Taranaki, typeOfProgrammes, certificate programmes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfProgrammes Context triple: [Western Institute of Technology at Taranaki, typeOfProgrammes, certificate programmes]
-
A.
targetAudienceOfPrograms
Indicates that a particular group or entity is the intended audience or recipient of certain programs.
-
B.
programType
chosen
Indicates the category or kind of program to which an entity belongs or with which it is associated.
-
C.
notableProgramType
Indicates that the subject is recognized for or associated with a particular type or category of program.
-
D.
offeredFamilyOfPrograms
Indicates that an entity provides or makes available a specific family or group of related programs.
-
E.
notableProgrammeStrand
Indicates that an entity is a significant or distinguished program series or strand associated with another entity (such as an organization, channel, or event).
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a3054f048190a98a3b314cd82d5c |
completed | April 19, 2026, 9:40 a.m. |
| PD | Predicate disambiguation | batch_69e3d8ec2f6881909d7f54b878cbed37 |
completed | April 18, 2026, 7:18 p.m. |
Created at: April 10, 2026, 10:20 a.m.