Triple

T24790302
Position Surface form Disambiguated ID Type / Status
Subject 東北福祉大学 E620232 entity
Predicate 著名分野 P157132 FINISHED
Object 社会福祉士養成 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: 社会福祉士養成 | Statement: [東北福祉大学, 著名分野, 社会福祉士養成]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 著名分野
Context triple: [東北福祉大学, 著名分野, 社会福祉士養成]
  • A. 参列者
    Indicates a relationship where an entity attends or is present at a ceremony, event, or formal gathering.
  • B.
    Indicates that 玉依姫 is the wife of 鵜葺草葺不合命, expressing a spousal relationship between them.
  • C. 別当寺格
    Indicates a formal relationship in which a temple holds the status or rank of a “bettō-ji,” serving as an administratively or ritually responsible temple attached to a shrine or institution.
  • D. 名物
    Indicates that something is a famous local specialty or notable product strongly associated with a particular place.
  • E. 宗派本山
    Indicates a relationship where a religious sect or school is associated with, or headquartered at, a particular main temple or principal mountain temple.
  • F. None of above. chosen

Provenance (4 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_69e2fabe77c8819085f7ce6486248139 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f41102028081909cde16f6e80bc321 completed May 1, 2026, 2:33 a.m.
PD Predicate disambiguation batch_69f40ef612c88190ab2f3f08d4a92018 completed May 1, 2026, 2:24 a.m.
PDg Predicate description generation batch_69f410a001788190a457e41f53aaf90c completed May 1, 2026, 2:32 a.m.
Created at: April 18, 2026, 4:47 a.m.