Triple

T7923163
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Medicine, The University of Tokyo E183993 entity
Predicate establishedAsMedicalSchool P18666 FINISHED
Object 1877 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: 1877 | Statement: [Faculty of Medicine, The University of Tokyo, establishedAsMedicalSchool, 1877]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: establishedAsMedicalSchool
Context triple: [Faculty of Medicine, The University of Tokyo, establishedAsMedicalSchool, 1877]
  • A. medicalSchool
    Indicates that one entity serves as the medical school where the other entity received medical education or training.
  • B. establishedAsClinicalSchool
    Indicates that an institution or facility has been formally designated and recognized as a clinical school for education and training purposes.
  • C. hasMedicalCollege
    Indicates that one entity possesses, hosts, or includes a medical college as part of its organization or structure.
  • D. foundedAsMedicalSchoolOf chosen
    Indicates that an institution was originally established as the medical school component of another institution.
  • E. hasPharmacySchool
    Indicates that an institution or entity includes, operates, or is affiliated with a school or program dedicated to the study and training of pharmacy.
  • 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_69ca828fe7bc819090f52c88dcd72183 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aaadd1c8190971f2a6c7636cae4 completed March 31, 2026, 3:08 a.m.
PD Predicate disambiguation batch_69cae9316e98819080be7bf1a6ff92f1 completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 5:06 p.m.