Triple

T17825600
Position Surface form Disambiguated ID Type / Status
Subject Toyonaka Campus, Osaka University E445107 entity
Predicate hasSecondaryDisciplineCluster P55386 FINISHED
Object interdisciplinary studies 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: interdisciplinary studies | Statement: [Toyonaka Campus, Osaka University, hasSecondaryDisciplineCluster, interdisciplinary studies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSecondaryDisciplineCluster
Context triple: [Toyonaka Campus, Osaka University, hasSecondaryDisciplineCluster, interdisciplinary studies]
  • A. hasSubdiscipline
    Indicates that one discipline includes another, more specialized field of study as a subordinate branch.
  • B. secondaryDiscipline chosen
    Indicates that an entity has an additional, subordinate field of study or area of specialization associated with it, distinct from its primary discipline.
  • C. hasSecondarySubject
    Indicates that an entity is associated with an additional, non-primary subject in a given context or relationship.
  • D. hasPrimaryDisciplineStructure
    Indicates that an entity is associated with its main or principal organizational or structural form of discipline.
  • E. subDisciplineOf
    Indicates that one discipline is a more specialized or narrower field within another, broader discipline.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48914226c819083edcc78e00b2d42 completed April 19, 2026, 7:49 a.m.
PD Predicate disambiguation batch_69e3d8e266888190ae976b4b7d5b886f completed April 18, 2026, 7:17 p.m.
Created at: April 10, 2026, 10:15 a.m.