Triple
T21439698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | システム情報学研究科 |
E528904
|
entity |
| Predicate | 関連組織 |
P629
|
FINISHED |
| Object | 神戸大学工学研究科 |
—
|
NE NERFINISHED |
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: 神戸大学工学研究科 | Statement: [システム情報学研究科, 関連組織, 神戸大学工学研究科]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 神戸大学工学研究科 Context triple: [システム情報学研究科, 関連組織, 神戸大学工学研究科]
-
A.
神戸大学
chosen
神戸大学 is a national research university in Kobe, Japan, known for its comprehensive academic programs and strong emphasis on international collaboration.
-
B.
神戸大学システム情報学研究科
神戸大学システム情報学研究科は、神戸大学に設置されたシステム情報学分野の高度な教育・研究を行う大学院研究科である。
-
C.
Kyoto Institute of Technology
Kyoto Institute of Technology is a Japanese national university in Kyoto specializing in science, engineering, and design education and research.
-
D.
大阪工業大学
大阪工業大学は、大阪府を拠点とし、工学・情報科学・ロボティクスなどの分野で実践的な技術者教育と研究を行う私立大学です。
-
E.
Kyushu Institute of Technology
Kyushu Institute of Technology is a Japanese national university known for its strong engineering and technology programs, located in the Fukuoka–Kitakyushu region of Kyushu.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b6feb2e48190ba5649f16a8bbbda |
completed | April 22, 2026, 11:54 a.m. |
Created at: April 16, 2026, 6:05 p.m.