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.