Triple
T25740683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Technology Management MBA |
E648206
|
entity |
| Predicate | learningOutcomesInclude |
P104565
|
FINISHED |
| Object | enhanced leadership skills |
—
|
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: enhanced leadership skills | Statement: [Technology Management MBA, learningOutcomesInclude, enhanced leadership skills]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: learningOutcomesInclude Context triple: [Technology Management MBA, learningOutcomesInclude, enhanced leadership skills]
-
A.
lessonsLearned
Indicates that certain insights, knowledge, or understanding have been gained from a prior experience, event, or process.
-
B.
courseIncludes
Indicates that a course contains or covers a particular component, such as a topic, module, lesson, or resource.
-
C.
hasCurriculumGoal
chosen
Indicates that an educational curriculum includes or is associated with a specific intended learning goal or objective.
-
D.
programOutcome
Indicates the resulting state, effect, or consequence produced by executing or completing a program.
-
E.
learnedIn
Indicates that an entity acquired knowledge, skills, or information within a particular context, environment, or source.
- 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_69e7ab306eec8190b05c312c6ab186b8 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fd1a238881909e59c4ee479f21dc |
completed | May 2, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 3:43 a.m.