Triple
T28805684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Education (Albany State University) |
E727366
|
entity |
| Predicate | employerTypeOfGraduates |
P2510
|
FINISHED |
| Object | public schools |
—
|
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: public schools | Statement: [College of Education (Albany State University), employerTypeOfGraduates, public schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employerTypeOfGraduates Context triple: [College of Education (Albany State University), employerTypeOfGraduates, public schools]
-
A.
employerOfGraduates
Indicates that an entity serves as the employing organization for individuals who have graduated from a particular institution or program.
-
B.
collegeEmployer
Indicates that a college or university is the employing institution of a given person or organization.
-
C.
employerType
chosen
Indicates the classification or category of an employer in relation to the entity (e.g., public, private, nonprofit, self-employed).
-
D.
serviceBranchOfGraduates
Indicates the military or service branch in which the graduates served or are affiliated.
-
E.
graduates
Indicates that an individual successfully completes an educational program and receives a degree or qualification from an institution.
- 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_69f0319c38948190bca746ad60fd25ba |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6bbf6e33c819086e5176d64e7a614 |
completed | May 3, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
Created at: April 28, 2026, 6:29 a.m.