Triple

T9982140
Position Surface form Disambiguated ID Type / Status
Subject National University Corporation, The University of Tokyo E196479 entity
Predicate typeOfUniversityOperated P33435 FINISHED
Object national university 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: national university | Statement: [National University Corporation, The University of Tokyo, typeOfUniversityOperated, national university]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfUniversityOperated
Context triple: [National University Corporation, The University of Tokyo, typeOfUniversityOperated, national university]
  • A. typeOfUniversity
    Indicates the specific category or classification of a university (e.g., public, private, technical, etc.) that an institution belongs to.
  • B. typeOfInstitution
    Indicates the specific kind or category of institution that an entity belongs to or is classified as.
  • C. universityOrganizationType
    Indicates the specific organizational category or classification of a university (such as public, private, or other institutional type).
  • D. campusType
    Indicates the classification or category of a campus based on its type (e.g., main, satellite, urban, rural).
  • E. operatesInstitution chosen
    Indicates that an entity manages and runs the activities or services of an 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb8bca41081909c04fb77603403b9 completed April 2, 2026, 12:30 a.m.
PD Predicate disambiguation batch_69cd1d9daa808190b413a1b9a1e929e2 completed April 1, 2026, 1:29 p.m.
Created at: March 30, 2026, 8:49 p.m.