Triple
T25912400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Arizona School of Journalism |
E652931
|
entity |
| Predicate | usesLearningEnvironment |
P87676
|
FINISHED |
| Object | student-run news organizations |
—
|
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: student-run news organizations | Statement: [University of Arizona School of Journalism, usesLearningEnvironment, student-run news organizations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesLearningEnvironment Context triple: [University of Arizona School of Journalism, usesLearningEnvironment, student-run news organizations]
-
A.
usesLearningPlatform
Indicates that an entity makes use of a particular learning platform for educational or training purposes.
-
B.
hasEducationalEnvironment
chosen
Indicates that an entity is associated with, situated in, or provided within a particular educational setting or learning environment.
-
C.
usesLearningMechanism
Indicates that one entity employs or applies a particular learning mechanism or method in its functioning or behavior.
-
D.
educationUse
Indicates the use or application of something specifically for educational purposes or in an educational context.
-
E.
livingLearningModel
Indicates a relationship where an entity uses or embodies a model that integrates living (residential or real-life) environments with structured learning experiences.
- 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_69e7ab3e025c819086771607157f0015 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f62d89b89c8190afb372a8172111e7 |
completed | May 2, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 22, 2026, 8:30 a.m.