Triple
T22533646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 幣原喜重郎 |
E557104
|
entity |
| Predicate | 出身校 |
P23183
|
FINISHED |
| Object | 東京帝国大学法科大学 |
—
|
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: 東京帝国大学法科大学 | Statement: [幣原喜重郎, 出身校, 東京帝国大学法科大学]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 東京帝国大学法科大学 Context triple: [幣原喜重郎, 出身校, 東京帝国大学法科大学]
-
A.
東京帝国大学
東京帝国大学は、近代日本の学術とエリート教育を担った旧制帝国大学の一つで、現在の東京大学の前身となった名門総合大学である。
-
B.
京都帝国大学
京都帝国大学 was a major prewar Japanese imperial university in Kyoto that later became Kyoto University, renowned for its research and academic excellence.
-
C.
Faculty of Law, Gakushuin University
The Faculty of Law at Gakushuin University is a leading Japanese law faculty known for its programs in legal studies and political science within the prestigious Gakushuin academic tradition.
-
D.
Faculty of Law, University of Tokyo
chosen
The Faculty of Law at the University of Tokyo is one of Japan’s most prestigious law schools, renowned for educating many of the country’s leading legal professionals, politicians, and public officials.
-
E.
Chuo University Faculty of Law
Chuo University Faculty of Law is one of Japan’s leading law schools, renowned for its long tradition of legal education and its strong influence on the country’s legal and political professions.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed88cf08190ae7e5b6bf9a80372 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 16, 2026, 8:51 p.m.