Triple

T4404222
Position Surface form Disambiguated ID Type / Status
Subject Wexner Medical Center at The Ohio State University E93687 entity
Predicate isAcademicAffiliationOf P467 FINISHED
Object residency programs 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: residency programs | Statement: [Wexner Medical Center at The Ohio State University, isAcademicAffiliationOf, residency programs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isAcademicAffiliationOf
Context triple: [Wexner Medical Center at The Ohio State University, isAcademicAffiliationOf, residency programs]
  • A. hasAcademicAffiliation chosen
    Indicates that an entity is formally associated with an academic institution, such as through employment, enrollment, or official collaboration.
  • B. hasDoctoralDegreeFrom
    Indicates that an individual holds a doctoral-level academic degree that was awarded by a specified institution.
  • C. associatedInstitution
    Indicates that an entity has a formal connection or affiliation with a particular institution.
  • D. hasAcademicAssociation
    Indicates a relationship where one entity is connected to another through an academic context, such as study, research, teaching, or institutional affiliation.
  • E. roleAtInstitution
    Indicates that an entity holds or has held a specific role or position within a particular institution.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b352d1af608190ac06d50433cf24bb completed March 12, 2026, 11:57 p.m.
PD Predicate disambiguation batch_69b34f5b36a881909bf2e970aa523390 completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:28 p.m.