Triple
T13688167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 大山巌 |
E328187
|
entity |
| Predicate | 出身地 |
P1
|
FINISHED |
| Object | 薩摩国鹿児島郡加治屋町 |
E326897
|
NE 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: 薩摩国鹿児島郡加治屋町 | Statement: [大山巌, 出身地, 薩摩国鹿児島郡加治屋町]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 薩摩国鹿児島郡加治屋町 Context triple: [大山巌, 出身地, 薩摩国鹿児島郡加治屋町]
-
A.
Kagoshima, Satsuma Domain, Japan
chosen
Kagoshima, in the former Satsuma Domain of Japan, is a historic southern city on Kyushu known for its samurai heritage and proximity to the active volcano Sakurajima.
-
B.
佐世保市
佐世保市は、長崎県北部に位置し、米海軍基地やハウステンボスなどで知られる港湾工業都市です。
-
C.
Amakusa, Kumamoto Prefecture, Japan
Amakusa, in Kumamoto Prefecture, Japan, is a remote island city known for its scenic coastal landscapes, historic Christian heritage, and role as a regional transportation hub.
-
D.
Ōmura, Nagasaki Prefecture
Ōmura is a city in Nagasaki Prefecture, Japan, known as a regional transportation hub and industrial center that hosts Nagasaki Airport.
-
E.
Setouchi, Kagoshima
Setouchi, Kagoshima is a coastal town in Japan’s Kagoshima Prefecture, known for its island-dotted seascapes, fishing industry, and role as an administrative center for nearby islands such as Ukejima.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc670968881908e2b4fdf656c7285 |
completed | April 12, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7944981ec8190be5ff39b7c2c70ab |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:53 p.m.