Triple
T5208005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Education at Drexel University |
E117559
|
entity |
| Predicate | preparesForCareerIn |
P37798
|
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: [School of Education at Drexel University, preparesForCareerIn, teaching]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preparesForCareerIn Context triple: [School of Education at Drexel University, preparesForCareerIn, teaching]
-
A.
studCareerBegan
Indicates that a student's professional or academic career started at a specified time or institution.
-
B.
targetCareer
chosen
Indicates that one entity is the intended or pursued career or professional goal of another entity.
-
C.
collegeCareerStart
Indicates the time or event at which an individual begins their college-level academic career.
-
D.
studCareerStart
Indicates the point in time when a student's professional or academic career begins.
-
E.
plannedCareer
Indicates that an individual has chosen and intends to pursue a specific career path.
- 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_69bd4463dd3c81909966123f20b79d57 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a6d70d081908c74e86b3bca9ba2 |
completed | March 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69bd77bb4e8c819094b5ac7cf61512f9 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:47 p.m.