Triple
T12965402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monash University Suzhou |
E321247
|
entity |
| Predicate | grantsDegrees |
P37764
|
FINISHED |
| Object | Monash University 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: Monash University degrees | Statement: [Monash University Suzhou, grantsDegrees, Monash University degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantsDegrees Context triple: [Monash University Suzhou, grantsDegrees, Monash University degrees]
-
A.
grantsDegreeIn
Indicates that an institution or authority confers an academic degree in a specified field or discipline.
-
B.
grantsDegreesFrom
Indicates that an institution has the authority to confer academic degrees originating from a specified source or program.
-
C.
grantedDegreesTo
Indicates that one entity has officially conferred academic degrees upon another entity.
-
D.
grantsDegreeThrough
Indicates that an institution confers a degree to an individual by means of a specified program, process, or pathway.
-
E.
degreeGrantingStatus
chosen
Indicates whether an institution or program has the authority to confer formal academic degrees.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97dba57988190b786ffed55687a72 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:27 p.m.