Triple

T12720236
Position Surface form Disambiguated ID Type / Status
Subject Graduate School of Letters, Doshisha University E303955 entity
Predicate academicFieldCluster P778 FINISHED
Object arts and humanities 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: arts and humanities | Statement: [Graduate School of Letters, Doshisha University, academicFieldCluster, arts and humanities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: academicFieldCluster
Context triple: [Graduate School of Letters, Doshisha University, academicFieldCluster, arts and humanities]
  • A. regionOfAcademicFocus
    Indicates the academic subject area or discipline that an entity (such as a person or program) primarily concentrates on or specializes in.
  • B. academicFocus chosen
    Indicates the primary field of study, discipline, or subject area that an entity concentrates on academically.
  • C. housesAcademicDiscipline
    Indicates that an entity serves as the location or institutional home where a particular academic discipline is based, organized, or conducted.
  • D. regionOfAcademicInterest
    Indicates that an entity has a particular academic field or subject area as its focus of interest or study.
  • E. academicFieldOfAuthor
    Indicates the academic discipline or field in which an author conducts their scholarly work or produces publications.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d89ea70819098c470344f172167 completed April 10, 2026, 9:37 p.m.
PD Predicate disambiguation batch_69d96403957c81909acdee7bdae71696 completed April 10, 2026, 8:56 p.m.
Created at: April 9, 2026, 5:24 p.m.