Triple
T19392598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Master of Arts (MA, undergraduate) |
E485104
|
entity |
| Predicate | degreeClassificationSystem |
P32640
|
FINISHED |
| Object | honours classification |
—
|
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: honours classification | Statement: [Master of Arts (MA, undergraduate), degreeClassificationSystem, honours classification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: degreeClassificationSystem Context triple: [Master of Arts (MA, undergraduate), degreeClassificationSystem, honours classification]
-
A.
degreeSystem
chosen
Indicates a relationship where an entity’s degree or qualification is defined, classified, or governed by a particular educational or grading system.
-
B.
degreeRecognition
Indicates that an academic degree is formally acknowledged or accepted as valid by a given authority or institution.
-
C.
degreeAbbreviation
Indicates that one term is the abbreviated form of an academic degree represented by the other term.
-
D.
educationType
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
-
E.
degreeTheme
Indicates that one entity serves as the scale, extent, or intensity parameter by which the other entity’s property, action, or state is measured or qualified.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b45caec81909dafdf66b361effd |
completed | April 20, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69e4fd602f008190aa9bc76ae17e4ce1 |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:36 p.m.