Triple
T12552283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of New Zealand |
E300125
|
entity |
| Predicate | degreeTypeGranted |
P105261
|
FINISHED |
| Object | bachelor's degrees |
—
|
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: bachelor's degrees | Statement: [University of New Zealand, degreeTypeGranted, bachelor's degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: degreeTypeGranted Context triple: [University of New Zealand, degreeTypeGranted, bachelor's degrees]
-
A.
degreeGrantedBy
Indicates that a specific academic degree was officially conferred by a particular granting institution.
-
B.
academicDegree
Indicates that an entity holds or has been awarded a specific academic degree.
-
C.
degreeGrantingStatus
Indicates whether an institution or program has the authority to confer formal academic degrees.
-
D.
eligibleDegree
Indicates that an academic degree qualifies its holder to be considered eligible for a particular program, position, or requirement.
-
E.
grantsDegreeIn
chosen
Indicates that an institution or authority confers an academic degree in a specified field or discipline.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d95410d0b0819097646edd1b837104 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:58 p.m.