Triple
T15402802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kagoshima City |
E368366
|
entity |
| Predicate | hasJapaneseName |
P9882
|
FINISHED |
| Object | 鹿児島市 |
—
|
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: 鹿児島市 | Statement: [Kagoshima City, hasJapaneseName, 鹿児島市]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 鹿児島市 Context triple: [Kagoshima City, hasJapaneseName, 鹿児島市]
-
A.
Kagoshima City
chosen
Kagoshima City is a major city in southern Japan’s Kyushu region, known for its active Sakurajima volcano, scenic bay setting, and role as a historic and industrial center.
-
B.
Kumamoto
Kumamoto is a major city on Japan’s Kyushu island, known for its historic Kumamoto Castle and role as the capital of Kumamoto Prefecture.
-
C.
Tosa City
Tosa City is a coastal municipality on the island of Shikoku in Japan, known for its fishing industry and scenic Pacific shoreline.
-
D.
Kokura
Kokura is a historic district in Kitakyushu, Japan, known for its castle, commercial center, and role as a former castle town and transport hub on Kyushu.
-
E.
Nichinan City
Nichinan City is a coastal municipality in southern Miyazaki Prefecture, Japan, known for its scenic Nichinan Coast, subtropical climate, and historic sites such as Obi Castle Town.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8ea0ac8190a5c68b1951ad3db1 |
completed | April 16, 2026, 1:42 a.m. |
Created at: April 10, 2026, 3:19 a.m.