Triple

T5169440
Position Surface form Disambiguated ID Type / Status
Subject Malaysia Campus E116638 entity
Predicate academicStandards P38101 FINISHED
Object comparable to UK campus 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: comparable to UK campus | Statement: [Malaysia Campus, academicStandards, comparable to UK campus]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: academicStandards
Context triple: [Malaysia Campus, academicStandards, comparable to UK campus]
  • A. hasAcademicStandard chosen
    Indicates that an entity is associated with, aligned to, or governed by a specified academic or educational standard.
  • B. standardsType
    Indicates the classification or category of standards that apply to or are associated with an entity or activity.
  • C. standardizedAssessment
    Indicates that an entity is evaluated using a uniform, systematically designed assessment administered and scored in a consistent manner across all subjects or contexts.
  • D. trainingStandard
    Indicates that one entity defines or adheres to an established set of criteria, procedures, or benchmarks used for training or instruction of another entity.
  • E. academicContext
    Indicates the educational or scholarly setting, framework, or circumstances within which an activity, relationship, or piece of information takes place.
  • 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_69bd445ff97c81909a2615cc56235470 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd794dd9988190922e138f2a9a3c62 completed March 20, 2026, 4:43 p.m.
PD Predicate disambiguation batch_69bd77b36c008190b91011a9fa52b3d2 completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:45 p.m.