Triple
T37061980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 大阪工業大学 |
E917345
|
entity |
| Predicate | 知的財産学部設置目的 |
P88798
|
FINISHED |
| Object | 知的財産専門人材の育成 |
—
|
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: 知的財産専門人材の育成 | Statement: [大阪工業大学, 知的財産学部設置目的, 知的財産専門人材の育成]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 知的財産学部設置目的 Context triple: [大阪工業大学, 知的財産学部設置目的, 知的財産専門人材の育成]
-
A.
institutionalPurpose
chosen
Indicates the intended function, mission, or role that an institution is designed or established to fulfill.
-
B.
設置国立大学
Indicates establishing or designating a university as a national (state-run) university.
-
C.
ownsIntellectualProperty
Indicates that one entity holds legal ownership rights over the intellectual property created, produced, or associated with another entity.
-
D.
purposeOfIncorporation
Indicates that an entity was incorporated with the specific goal, function, or intended activity described by another entity or statement.
-
E.
主な学部
Indicates a relationship where a university or institution is associated with its primary or main academic faculty/department.
- F. None of above.
Provenance (3 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. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.