Triple
T12552282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of New Zealand |
E300125
|
entity |
| Predicate | grantedDegreesTo |
P105856
|
FINISHED |
| Object | students of affiliated colleges |
—
|
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: students of affiliated colleges | Statement: [University of New Zealand, grantedDegreesTo, students of affiliated colleges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantedDegreesTo Context triple: [University of New Zealand, grantedDegreesTo, students of affiliated colleges]
-
A.
grantsDegreeIn
Indicates that an institution or authority confers an academic degree in a specified field or discipline.
-
B.
grantsDegreeThrough
Indicates that an institution confers a degree to an individual by means of a specified program, process, or pathway.
-
C.
grantsDegreesFrom
Indicates that an institution has the authority to confer academic degrees originating from a specified source or program.
-
D.
degreeGrantedBy
Indicates that a specific academic degree was officially conferred by a particular granting institution.
-
E.
degreeGrantingStatus
Indicates whether an institution or program has the authority to confer formal academic degrees.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69d95f5148948190946a575d812b329d |
completed | April 10, 2026, 8:36 p.m. |
Created at: April 8, 2026, 9:58 p.m.