Triple
T9209939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagasaki Prefecture |
E221086
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Unzen |
E348757
|
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: Unzen | Statement: [Nagasaki Prefecture, hasCity, Unzen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Unzen Context triple: [Nagasaki Prefecture, hasCity, Unzen]
-
A.
Unzen
chosen
Unzen is an active volcanic complex on Japan’s Kyushu Island known for its destructive eruptions and associated pyroclastic flows.
-
B.
Ibusuki
Ibusuki is a coastal city in Kagoshima Prefecture, Japan, best known for its natural hot springs and unique sand bath spas.
-
C.
Toyako Onsen
Toyako Onsen is a renowned hot spring resort town on the shores of Lake Tōya in Hokkaido, Japan, famous for its scenic lakeside views, frequent fireworks, and access to volcanic landscapes.
-
D.
Arima Onsen
Arima Onsen is one of Japan’s oldest and most famous hot spring towns, renowned for its mineral-rich “gold” and “silver” baths nestled in the mountains near Kobe.
-
E.
Kinosaki Onsen
Kinosaki Onsen is a historic Japanese hot spring town famed for its seven public bathhouses, traditional ryokan inns, and picturesque willow-lined canals.
- 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_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9b3c8c081909a688ce699928fc0 |
completed | April 1, 2026, 8:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065efcb64819097d4624bd9e423d2 |
completed | April 4, 2026, 1:14 a.m. |
Created at: March 30, 2026, 7:26 p.m.