Triple
T19604325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kashiwazaki city government |
E470564
|
entity |
| Predicate | governs |
P760
|
FINISHED |
| Object | Kashiwazaki |
—
|
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: Kashiwazaki | Statement: [Kashiwazaki city government, governs, Kashiwazaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kashiwazaki Context triple: [Kashiwazaki city government, governs, Kashiwazaki]
-
A.
Kashiwazaki
chosen
Kashiwazaki is a coastal city in Japan known for hosting one of the world’s largest nuclear power plants and for its scenic Sea of Japan shoreline.
-
B.
Itoigawa
Itoigawa is a coastal city in western Niigata Prefecture, Japan, known for its jade-rich beaches and role as a key stop along the Sea of Japan.
-
C.
Tozawa
Tozawa is a town in Yamagata Prefecture, Japan, known for its scenic location along the Mogami River and its rural, mountainous landscapes.
-
D.
Tadaka
Tadaka is a Japanese given name, often used for males and written with various kanji characters that convey different meanings.
-
E.
Ibusuki
Ibusuki is a coastal city in Kagoshima Prefecture, Japan, best known for its natural hot springs and unique sand bath spas.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64081af6c8190868b73b07c874cd5 |
completed | April 20, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.