Triple
T17434229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valdosta State University |
E423957
|
entity |
| Predicate | hasOnlineEducation |
P2505
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Valdosta State University, hasOnlineEducation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnlineEducation Context triple: [Valdosta State University, hasOnlineEducation, yes]
-
A.
hasOnlineCampus
Indicates that an institution or organization offers a campus or learning environment that is accessible via the internet.
-
B.
hasOnlinePrograms
chosen
Indicates that an entity offers or provides programs, courses, or services that are available online.
-
C.
hasEducationServices
Indicates that one entity provides or offers educational services to another entity or within a particular context.
-
D.
hasEducationalProgram
Indicates that an entity offers, runs, or is associated with a specific educational program.
-
E.
hasEducationIn
Indicates that an entity has received education, training, or formal study in a specified field, subject, or discipline.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4490274608190a60ada9aeb246eff |
completed | April 19, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69e3b030eac481909b8402719cc3102e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:46 a.m.