Triple

T5455151
Position Surface form Disambiguated ID Type / Status
Subject St. John’s University, Shanghai E122460 entity
Predicate educationSystemInfluence P10669 FINISHED
Object American liberal arts model 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: American liberal arts model | Statement: [St. John’s University, Shanghai, educationSystemInfluence, American liberal arts model]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: educationSystemInfluence
Context triple: [St. John’s University, Shanghai, educationSystemInfluence, American liberal arts model]
  • A. educationSystem
    Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
  • B. educationalImpact chosen
    Indicates the effect or influence that one entity has on the learning, knowledge, or educational outcomes of another.
  • C. educationSystemCharacteristic
    Indicates a characteristic, feature, or attribute that describes an education system.
  • D. educationPolicy
    Indicates a relationship where an authority or entity establishes, governs, or influences rules, strategies, or frameworks guiding an education system or educational practices.
  • E. educationRight
    Indicates that an entity holds a right or entitlement to receive education or educational opportunities.
  • 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_69bd46424248819085282ddf50a565f3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd927c946c8190aef40679199fede3 completed March 20, 2026, 6:31 p.m.
PD Predicate disambiguation batch_69bd91a0d96c8190bd1299edbf764bbb completed March 20, 2026, 6:27 p.m.
Created at: March 20, 2026, 2:08 p.m.