Triple
T26833402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Education at Hofstra University |
E675559
|
entity |
| Predicate | offersProfessionalPreparation |
P71155
|
FINISHED |
| Object | teachers |
—
|
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: teachers | Statement: [School of Education at Hofstra University, offersProfessionalPreparation, teachers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersProfessionalPreparation Context triple: [School of Education at Hofstra University, offersProfessionalPreparation, teachers]
-
A.
offersCertificationPreparationFor
Indicates that an entity provides training or resources specifically designed to prepare individuals for obtaining a particular certification.
-
B.
offersProfessionalPrograms
chosen
Indicates that an entity provides formal, career-oriented educational or training programs to others.
-
C.
professionPreparedFor
Indicates that an entity has been trained or equipped to perform a particular profession or occupational role.
-
D.
studentPreparation
Indicates the extent and manner in which a student is made ready or equipped for a particular task, course, or learning activity.
-
E.
offersEducationMode
Indicates that an entity provides a particular mode or format in which education or instruction is delivered.
- 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_69eee9b776448190993a60b67fcc9545 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: April 27, 2026, 5:03 a.m.