Triple

T4247974
Position Surface form Disambiguated ID Type / Status
Subject Sorbonne University Abu Dhabi E95573 entity
Predicate followsAcademicModelOf P39270 FINISHED
Object French higher education system 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: French higher education system | Statement: [Sorbonne University Abu Dhabi, followsAcademicModelOf, French higher education system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: followsAcademicModelOf
Context triple: [Sorbonne University Abu Dhabi, followsAcademicModelOf, French higher education system]
  • A. hasAcademicSystem chosen
    Indicates that an entity is associated with or operates under a particular academic or educational system.
  • B. institutionalModel
    Indicates the organizational or structural framework under which an institution is designed, governed, or operates.
  • C. followsRubricsOf
    Indicates that one entity adheres to, complies with, or operates according to the rules, guidelines, or evaluation criteria defined by another entity.
  • D. studiedUnder
    Indicates that one entity received instruction, training, or mentorship from another, typically in an academic or apprenticeship context.
  • E. hasAcademicComponent
    Indicates that something includes, involves, or is associated with an academic or educational element as part of its structure or content.
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e9cb71481909b4baa370193148f completed March 12, 2026, 11:39 p.m.
PD Predicate disambiguation batch_69b347f587148190a1830503459939b6 completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:06 p.m.