Triple
T19392600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Master of Arts (MA, undergraduate) |
E485104
|
entity |
| Predicate | typicalStudyMode |
P136274
|
FINISHED |
| Object | full-time |
—
|
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: full-time | Statement: [Master of Arts (MA, undergraduate), typicalStudyMode, full-time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalStudyMode Context triple: [Master of Arts (MA, undergraduate), typicalStudyMode, full-time]
-
A.
studiesFor
Indicates that one entity engages in studying or academic preparation with the purpose of achieving or supporting another entity (such as a goal, exam, or qualification).
-
B.
modernDisciplineStudying
Indicates that a contemporary academic or scientific discipline is engaged in the systematic study or investigation of a given subject or phenomenon.
-
C.
oftenStudiedBetween
Indicates that something is frequently examined, researched, or analyzed in relation to two or more entities.
-
D.
isStudiedUsing
Indicates that something serves as the method, tool, or approach by which something else is examined, analyzed, or researched.
-
E.
primaryTextStudied
Indicates that a particular text is the main or principal material being studied by an entity.
- 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_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. |
| PDg | Predicate description generation | batch_69e50213571881909cd7543a43b51986 |
completed | April 19, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:36 p.m.