Triple
T17707749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SANKEN |
E441475
|
entity |
| Predicate | hasJapaneseName |
P9882
|
FINISHED |
| Object | 大阪大学産業科学研究所 |
—
|
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: 大阪大学産業科学研究所 | Statement: [SANKEN, hasJapaneseName, 大阪大学産業科学研究所]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 大阪大学産業科学研究所 Context triple: [SANKEN, hasJapaneseName, 大阪大学産業科学研究所]
-
A.
Osaka National Research Institute
Osaka National Research Institute was a former Japanese government research institution focused on industrial science and technology that later became part of the National Institute of Advanced Industrial Science and Technology (AIST).
-
B.
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。
-
C.
大阪工業大学梅田キャンパス
大阪工業大学梅田キャンパスは、大阪市北区・梅田エリアに位置し、都市型の教育・研究拠点として先端的な学習環境と産学連携の場を備えたキャンパスである。
-
D.
Osaka University
chosen
Osaka University is a leading Japanese national research university known for its strong programs in science, engineering, and medicine and its major contributions to academic and industrial innovation.
-
E.
Osaka City University
Osaka City University is a major public research university in Osaka, Japan, known for its comprehensive programs across sciences, humanities, and professional fields.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e472990b5c81908e0414d3230f283e |
completed | April 19, 2026, 6:13 a.m. |
Created at: April 10, 2026, 10:05 a.m.