Triple
T14988150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Master in the Study of Law |
E373759
|
entity |
| Predicate | mayBeCompletedFullTimeIn |
P49391
|
FINISHED |
| Object | approximately one year |
—
|
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: approximately one year | Statement: [Master in the Study of Law, mayBeCompletedFullTimeIn, approximately one year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayBeCompletedFullTimeIn Context triple: [Master in the Study of Law, mayBeCompletedFullTimeIn, approximately one year]
-
A.
typicalAgeAtCompletion
Indicates the age at which an entity (such as a program, activity, or process) is typically completed.
-
B.
educationEndTime
Indicates the point in time at which an entity’s period of education or study is completed or ends.
-
C.
primaryDurationOfStudy
chosen
Indicates the main length of time allocated or required for a particular course of study or educational program.
-
D.
typicallyCompletedInYearLevel
Indicates the usual school year level in which an activity, course, or requirement is completed.
-
E.
hasModeOfStudy
Indicates the method or format by which an entity (typically a learner) undertakes their studies, such as full-time, part-time, online, or in-person.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7007588819095bb1de029a6f2eb |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:53 a.m.