Triple
T23971942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City campus (Melbourne CBD) |
E604256
|
entity |
| Predicate | educationTypeOffered |
P177
|
FINISHED |
| Object | professional education |
—
|
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: professional education | Statement: [City campus (Melbourne CBD), educationTypeOffered, professional education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationTypeOffered Context triple: [City campus (Melbourne CBD), educationTypeOffered, professional education]
-
A.
educationType
chosen
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
-
B.
programOffered
Indicates that a particular program is made available or provided by a given entity (such as an institution, organization, or provider).
-
C.
schoolTypeOffered
Indicates the specific type or category of school that is provided or made available by an educational institution or organization.
-
D.
offersEducationTo
Indicates that one entity provides educational services, instruction, or learning opportunities to another entity.
-
E.
offersEducationIn
Indicates that an entity provides or delivers educational programs, courses, or instruction in a specified field, subject, or area.
- 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_69e29543019c8190872462e593cc50b4 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d1dcef248190a04718f6f436dcc8 |
completed | April 29, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:25 p.m.