Triple
T9369564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Master of Professional Studies in Design |
E225493
|
entity |
| Predicate | isSubTypeOf |
P1244
|
FINISHED |
| Object | Master of Professional Studies |
—
|
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: Master of Professional Studies | Statement: [Master of Professional Studies in Design, isSubTypeOf, Master of Professional Studies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSubTypeOf Context triple: [Master of Professional Studies in Design, isSubTypeOf, Master of Professional Studies]
-
A.
subclassOf
chosen
Indicates that one class is a more specific type of another class, inheriting its characteristics as a subset of it.
-
B.
isBaseFor
Indicates that one entity serves as the foundational support, starting point, or underlying basis upon which another entity is built, developed, or depends.
-
C.
isSubsegmentOf
Indicates that one segment is entirely contained within and forms a continuous part of another, larger segment.
-
D.
isPartOfType
Indicates that one type or category is a constituent or subset within a larger, encompassing type or category.
-
E.
isSubnetworkOf
Indicates that one network is a contained, subordinate, or component part of another, larger network.
- 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_69ca842cbddc819099d71ecec48cf9e5 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5080f55c8190bd5ca0dc0a4ea989 |
completed | April 1, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69cc7a6abb8c81908c7a2f4ee92cc949 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:43 p.m.