Triple

T14017487
Position Surface form Disambiguated ID Type / Status
Subject Australia–China relations E337238 entity
Predicate educationLink P49447 FINISHED
Object university partnerships 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: university partnerships | Statement: [Australia–China relations, educationLink, university partnerships]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: educationLink
Context triple: [Australia–China relations, educationLink, university partnerships]
  • A. educationRight
    Indicates that an entity holds a right or entitlement to receive education or educational opportunities.
  • B. hasEducationalLink chosen
    Indicates that there is an educational relationship or connection between two entities, such as teaching, learning, training, or academic affiliation.
  • C. educationSystem
    Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
  • D. educationIntegration
    Indicates the incorporation or coordination of educational content, methods, or systems into a broader program, environment, or framework.
  • E. educationUse
    Indicates the use or application of something specifically for educational purposes or in an educational context.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f3b5b088190a58715779d2c46a6 completed April 14, 2026, 12:12 p.m.
PD Predicate disambiguation batch_69de05a802ac819090604025aae6a4d5 completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:19 p.m.