Triple

T21748747
Position Surface form Disambiguated ID Type / Status
Subject 法学研究科 E536854 entity
Predicate 教育形態 P177 FINISHED
Object 通学制 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: 通学制 | Statement: [法学研究科, 教育形態, 通学制]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 教育形態
Context triple: [法学研究科, 教育形態, 通学制]
  • A. educationSystem
    Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
  • B. educationType chosen
    Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
  • C. освіта
    Indicates that one entity provides, has, or is associated with the education or educational background of another entity.
  • D. educationalSector
    Indicates a relationship in which something is part of, associated with, or operates within the education or schooling domain.
  • E. educationAndCulture
    Indicates a relationship where activities, policies, or influences connect educational processes with cultural development, preservation, or expression.
  • 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_69e0c46eab808190b848242d63a17c47 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a78bd908190b74e26ab1cc8788f completed April 28, 2026, 2:24 a.m.
PD Predicate disambiguation batch_69e6969c16fc8190b5126c169317d85d completed April 20, 2026, 9:11 p.m.
Created at: April 16, 2026, 6:50 p.m.