Triple

T25912401
Position Surface form Disambiguated ID Type / Status
Subject University of Arizona School of Journalism E652931 entity
Predicate usesLearningEnvironment P87676 FINISHED
Object professional 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: professional news organizations | Statement: [University of Arizona School of Journalism, usesLearningEnvironment, professional news organizations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesLearningEnvironment
Context triple: [University of Arizona School of Journalism, usesLearningEnvironment, professional 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_69f6352fdb788190b9bad30243690743 completed May 2, 2026, 5:32 p.m.
PD Predicate disambiguation batch_69f63182f1408190bddc1214fcbd6145 completed May 2, 2026, 5:16 p.m.
Created at: April 22, 2026, 8:30 a.m.