Triple
T30566597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Education at Salem State University |
E777996
|
entity |
| Predicate | offersCareerPreparationIn |
P42231
|
FINISHED |
| Object | K–12 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: K–12 teaching | Statement: [School of Education at Salem State University, offersCareerPreparationIn, K–12 teaching]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersCareerPreparationIn Context triple: [School of Education at Salem State University, offersCareerPreparationIn, K–12 teaching]
-
A.
offersApprenticeshipTraining
Indicates that one entity provides apprenticeship-based training opportunities or programs to another entity.
-
B.
offersEducationIn
chosen
Indicates that an entity provides or delivers educational programs, courses, or instruction in a specified field, subject, or area.
-
C.
offersEducationTo
Indicates that one entity provides educational services, instruction, or learning opportunities to another entity.
-
D.
helpsLaunchCareerOf
Indicates that one entity plays a significant role in starting, advancing, or establishing the professional career of another entity.
-
E.
offersCertificationPreparationFor
Indicates that an entity provides training or resources specifically designed to prepare individuals for obtaining a particular certification.
- 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_69f2249ed41c8190b175170ecfd6e1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd02680d948190a3463fb119ba8556 |
completed | May 7, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69fcf89c69b4819082bbc564bd15137d |
completed | May 7, 2026, 8:39 p.m. |
Created at: April 29, 2026, 8:21 p.m.