Triple
T25315944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Liberal Arts and Social Sciences |
E634743
|
entity |
| Predicate | commonCourseType |
P7752
|
FINISHED |
| Object | theory-based courses |
—
|
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: theory-based courses | Statement: [College of Liberal Arts and Social Sciences, commonCourseType, theory-based courses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonCourseType Context triple: [College of Liberal Arts and Social Sciences, commonCourseType, theory-based courses]
-
A.
commonCourse
Indicates that two or more entities share at least one course in common.
-
B.
courseType
chosen
Indicates the classification or category of a course based on its nature, level, or instructional format.
-
C.
typicalCourse
Indicates that one entity is a standard or commonly taken course associated with another entity, such as a program, curriculum, or field of study.
-
D.
curriculumType
Indicates the classification or category of curriculum associated with an educational program or course.
-
E.
isCourse
Indicates that an entity functions as or qualifies as a course within a given context or system.
- 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_69e75a9847c08190bb02990d06d5ffb7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 21, 2026, 1:28 p.m.