Triple

T37061971
Position Surface form Disambiguated ID Type / Status
Subject 大阪工業大学 E917345 entity
Predicate 所属法人 P145064 FINISHED
Object 常翔学園
常翔学園は、大阪工業大学などを運営する日本の学校法人で、関西地域を中心に中学・高校・大学を展開する総合学園である。
E2209952 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: 常翔学園 | Statement: [大阪工業大学, 所属法人, 常翔学園]
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: 常翔学園
Triple: [大阪工業大学, 所属法人, 常翔学園]
Generated description
常翔学園は、大阪工業大学などを運営する日本の学校法人で、関西地域を中心に中学・高校・大学を展開する総合学園である。
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 所属法人
Context triple: [大阪工業大学, 所属法人, 常翔学園]
  • A. 所属事業者 chosen
    Indicates that one entity is the business operator or company to which another entity belongs or is affiliated.
  • B. 所属組織
    Indicates that one entity belongs to, is a member of, or is organizationally affiliated with another entity.
  • C. organizationTypeOfHolder
    Indicates that a specified organization serves as the type or category of the holder in the given relationship.
  • D. ownerAffiliation
    Indicates that an entity’s owner is formally associated with, belongs to, or is aligned with another entity or organization.
  • E. organizationTypeOfOwner
    Indicates the type or category of organization that owns a given entity.
  • 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.