Triple
T37061979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 大阪工業大学 |
E917345
|
entity |
| Predicate | 情報科学部設置目的 |
P88798
|
FINISHED |
| Object | 情報技術者の実践的教育 |
—
|
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: 情報技術者の実践的教育 | Statement: [大阪工業大学, 情報科学部設置目的, 情報技術者の実践的教育]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 情報科学部設置目的 Context triple: [大阪工業大学, 情報科学部設置目的, 情報技術者の実践的教育]
-
A.
設置国立大学
Indicates establishing or designating a university as a national (state-run) university.
-
B.
institutionalPurpose
chosen
Indicates the intended function, mission, or role that an institution is designed or established to fulfill.
-
C.
主な学部
Indicates a relationship where a university or institution is associated with its primary or main academic faculty/department.
-
D.
universitySectionOf
Indicates that one entity is a specific section, division, or part within a larger university.
-
E.
mainCampusSetting
Indicates that an institution’s primary or central campus is used as the setting or location for the related activity or context.
- 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.