Triple

T8004008
Position Surface form Disambiguated ID Type / Status
Subject Osaka Gakuin University E186318 entity
Predicate operatesInAcademicField P74482 FINISHED
Object social sciences 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: social sciences | Statement: [Osaka Gakuin University, operatesInAcademicField, social sciences]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operatesInAcademicField
Context triple: [Osaka Gakuin University, operatesInAcademicField, social sciences]
  • A. hasAcademicFunction
    Indicates that an entity serves a specific academic role, duty, or function within an educational or scholarly context.
  • B. hasAcademicComponent
    Indicates that something includes, involves, or is associated with an academic or educational element as part of its structure or content.
  • C. hasAcademicAffiliation
    Indicates that an entity is formally associated with an academic institution, such as through employment, enrollment, or official collaboration.
  • D. hasAcademicCharacter
    Indicates that something possesses qualities, standards, or attributes associated with academic or scholarly work.
  • E. regionOfAcademicInterest chosen
    Indicates that an entity has a particular academic field or subject area as its focus of interest or study.
  • 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_69ca82aaaf24819084b94d18f699ba53 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3cf443e48190ac9e83343ff4019e completed March 31, 2026, 3:18 a.m.
PD Predicate disambiguation batch_69cb0483d3b48190b250c7603d747bca completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:18 p.m.