Triple
T20068484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heriot-Watt University Malaysia Campus |
E499670
|
entity |
| Predicate | awardsDegreeType |
P134801
|
FINISHED |
| Object | bachelor's degree |
—
|
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 degree | Statement: [Heriot-Watt University Malaysia Campus, awardsDegreeType, bachelor's degree]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardsDegreeType Context triple: [Heriot-Watt University Malaysia Campus, awardsDegreeType, bachelor's degree]
-
A.
grantedDegreesTo
Indicates that one entity has officially conferred academic degrees upon another entity.
-
B.
grantsDegreeIn
Indicates that an institution or authority confers an academic degree in a specified field or discipline.
-
C.
academicDegree
Indicates that an entity holds or has been awarded a specific academic degree.
-
D.
awardsDegreeInCollaborationWith
Indicates that a degree is awarded jointly by one institution or entity in partnership or collaboration with another.
-
E.
typeOfDegreeHandled
chosen
Indicates the specific academic degree type that an entity is responsible for managing or processing.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6637ac3fc8190911063b979c3afb8 |
completed | April 20, 2026, 5:33 p.m. |
| PD | Predicate disambiguation | batch_69e54cee7a5c819084ae4ff26419833f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:39 p.m.