Triple

T37061958
Position Surface form Disambiguated ID Type / Status
Subject 大阪工業大学 E917345 entity
Predicate 大学院研究科 P39141 FINISHED
Object 工学研究科
工学研究科は、大阪工業大学において工学分野の高度な専門教育と研究を担う大学院組織です。
 E2209951 NE FINISHED

How this triple was built (3 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: 工学研究科 | Statement: [大阪工業大学, 大学院研究科, 工学研究科]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 工学研究科
Triple: [大阪工業大学, 大学院研究科, 工学研究科]
Generated description
工学研究科は、大阪工業大学において工学分野の高度な専門教育と研究を担う大学院組織です。
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: 大学院研究科
Context triple: [大阪工業大学, 大学院研究科, 工学研究科]
  • A. 大学院 chosen
    Indicates that an entity is a graduate school or pertains to graduate-level education or affiliation.
  • B. 相关学院
    Indicates a relationship where an entity is associated with, belongs to, or is administered by a particular college or faculty within an institution.
  • C. 所属大学
    Indicates that one entity is the university to which the other entity belongs or is affiliated (e.g., as a student, faculty member, or staff).
  • D. 設置大学
    Indicates establishing or setting up a university as an institution.
  • E. 著名高校
    Indicates that an entity is a well-known or prestigious higher-education institution.
  • F. None of above.

Provenance (6 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_69f76e95fa40819091e14681087ae5e4 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb34e5576881909394355c8ec6ddd2 completed May 6, 2026, 12:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e8c5715e8819082c99d589abd3baa completed June 26, 2026, 2:27 p.m.
NEDg Description generation batch_6a3e95ede37c8190976559fecd7917b3 completed June 26, 2026, 3:08 p.m.
NED2 Entity disambiguation (via description) batch_6a3e9914a3e48190bf59606bacf80c87 completed June 26, 2026, 3:21 p.m.
PD Predicate disambiguation batch_69fb2f6171e88190bf1e0ee6a644b6a9 completed May 6, 2026, 12:09 p.m.
Created at: May 3, 2026, 4:14 p.m.