Triple
T37061981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 大阪工業大学 |
E917345
|
entity |
| Predicate | 創立者 |
P104
|
FINISHED |
| Object |
西村貞
西村貞は、日本の工学系私立大学である大阪工業大学の創設に尽力した教育者・実業家である。
|
E2209953
|
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: 西村貞 | Statement: [大阪工業大学, 創立者, 西村貞]
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: 西村貞 Triple: [大阪工業大学, 創立者, 西村貞]
Generated description
西村貞は、日本の工学系私立大学である大阪工業大学の創設に尽力した教育者・実業家である。
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 創立者 Context triple: [大阪工業大学, 創立者, 西村貞]
-
A.
創始者俗名
Indicates that the predicate specifies the secular or common name of a founder.
-
B.
founder
chosen
Indicates that an entity established, created, or started another entity such as an organization, institution, or company.
-
C.
founderKnownFor
Indicates that a founder is particularly recognized or notable for a specific work, achievement, product, or contribution.
-
D.
築城者
Indicates the agent or person responsible for constructing or building a castle or fortress.
-
E.
founderAlsoKnownAs
Indicates that an individual who is a founder of something is also known by an alternative name or alias.
- 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.