Triple

T15111361
Position Surface form Disambiguated ID Type / Status
Subject Aronoff Center for Design and Art E360918 entity
Predicate hasEducationalDiscipline P36625 FINISHED
Object architecture 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: architecture | Statement: [Aronoff Center for Design and Art, hasEducationalDiscipline, architecture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEducationalDiscipline
Context triple: [Aronoff Center for Design and Art, hasEducationalDiscipline, architecture]
  • A. hasSubjectOfStudy chosen
    Indicates that an entity (such as a person or organization) focuses on, researches, or specializes in a particular field or topic of study.
  • B. hasEducationalDesignation
    Indicates that an entity holds a specific educational title, status, or classification assigned by an educational system or institution.
  • C. hasEducationalRole
    Indicates that an entity holds a specific function, position, or responsibility within an educational context or setting.
  • D. studiedByDiscipline
    Indicates that a subject (such as a phenomenon, object, or concept) is examined, analyzed, or researched within a particular academic or professional discipline.
  • E. educationField
    Indicates the academic or professional discipline in which an entity has been educated or trained.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058c04f481909deeac0271d961b6 completed April 15, 2026, 9:39 p.m.
PD Predicate disambiguation batch_69deb96c1d9c81909351558ed97bc5b7 completed April 14, 2026, 10:02 p.m.
Created at: April 10, 2026, 3:05 a.m.