Triple
T22533636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 幣原喜重郎 |
E557104
|
entity |
| Predicate | 出生地 |
P1
|
FINISHED |
| Object | 大阪府 |
—
|
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: 大阪府 | Statement: [幣原喜重郎, 出生地, 大阪府]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 大阪府 Context triple: [幣原喜重郎, 出生地, 大阪府]
-
A.
Osaka Prefecture
chosen
Osaka Prefecture is a populous and economically vital region in Japan’s Kansai area, centered on the city of Osaka and known as a major hub of commerce, industry, and culture.
-
B.
関西広域連合
関西広域連合は、近畿地方を中心とする複数の府県・政令市などが連携し、広域的な行政課題への対応や地域振興を図るために設立された日本の広域連合体です。
-
C.
Wakayama Prefecture
Wakayama Prefecture is a coastal region in Japan’s Kansai area known for its sacred sites on the Kii Peninsula, including Mount Koya and the Kumano Kodo pilgrimage routes.
-
D.
兵庫県
兵庫県は近畿地方に位置し、日本海から瀬戸内海、日本海側の山岳地帯や都市部の神戸・姫路など多様な地形と産業を持つ日本の県である。
-
E.
Kyoto Prefecture
Kyoto Prefecture is a region in Japan’s Kansai area known for its historic capital city of Kyoto, famous temples, traditional culture, and well-preserved heritage sites.
- 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.