Triple
T23972062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Trobe Business School |
E604259
|
entity |
| Predicate | offersResearchDegree |
P24838
|
FINISHED |
| Object | Doctor of Philosophy (PhD) |
—
|
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: Doctor of Philosophy (PhD) | Statement: [La Trobe Business School, offersResearchDegree, Doctor of Philosophy (PhD)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersResearchDegree Context triple: [La Trobe Business School, offersResearchDegree, Doctor of Philosophy (PhD)]
-
A.
offersResearch
Indicates that one entity provides or makes available research opportunities, resources, or services to another entity.
-
B.
offersDegree
Indicates that an institution or program provides a specific academic degree as an available qualification.
-
C.
offersFieldOfStudy
Indicates that an institution or program provides a particular field of study as an available area of academic focus.
-
D.
offersStudyAbroad
Indicates that an institution or program provides opportunities for participants to study in a foreign country.
-
E.
offersLevelOfStudy
chosen
Indicates that an institution or program provides a particular level or type of study (e.g., undergraduate, graduate, doctoral) as an available option.
- 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.