Triple
T22856233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Education and Human Services |
E566489
|
entity |
| Predicate | focusesOnCareerPreparationIn |
P119565
|
FINISHED |
| Object | teaching |
—
|
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: teaching | Statement: [College of Education and Human Services, focusesOnCareerPreparationIn, teaching]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnCareerPreparationIn Context triple: [College of Education and Human Services, focusesOnCareerPreparationIn, teaching]
-
A.
preparesGraduatesFor
chosen
Indicates that one entity equips or trains graduates with the knowledge, skills, or qualifications needed to succeed in another specified context, role, or activity.
-
B.
employabilityFocus
Indicates that the primary emphasis is on enhancing or assessing an entity’s capacity to gain and maintain employment.
-
C.
studCareerAt
Indicates that a student pursued or developed their academic or professional career at a particular institution or organization.
-
D.
studCareer
Indicates that a student is pursuing or associated with a particular academic or professional career path.
-
E.
collegeCareerStart
Indicates the time or event at which an individual begins their college-level academic career.
- 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17ebd7d48819085f350f2ce4144a0 |
completed | April 29, 2026, 3:45 a.m. |
| PD | Predicate disambiguation | batch_69eed2d507c08190895ed971af0fc755 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 17, 2026, 3:37 p.m.