Triple
T15499486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orofure Pass |
E378911
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Noboribetsu Onsen |
E388624
|
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: Noboribetsu Onsen | Statement: [Orofure Pass, near, Noboribetsu Onsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noboribetsu Onsen Context triple: [Orofure Pass, near, Noboribetsu Onsen]
-
A.
Noboribetsu Onsen
chosen
Noboribetsu Onsen is one of Japan’s most famous hot spring resort towns, renowned for its volcanic “Hell Valley” landscapes and diverse mineral-rich baths.
-
B.
Nyuto Onsen
Nyuto Onsen is a remote hot spring village in Japan famed for its rustic, traditional ryokan inns and milky, mineral-rich baths nestled in the mountains of Akita Prefecture.
-
C.
Hyotan Onsen
Hyotan Onsen is a well-known traditional hot spring bathhouse in Beppu, Japan, famous for its variety of baths, sand baths, and authentic onsen experience.
-
D.
Ureshino Onsen
Ureshino Onsen is a historic hot spring resort town in Saga Prefecture, Japan, famed for its silky, skin-beautifying waters and nearby Ureshino tea.
-
E.
Kinugawa Onsen
Kinugawa Onsen is a famous hot spring resort area in Tochigi Prefecture, Japan, known for its riverside ryokan, scenic gorges, and easy access from Tokyo.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcb4e8c81908e4ab463e3ae252b |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3667a53c81908be789f99e580265 |
completed | May 9, 2026, 1:28 p.m. |
Created at: April 10, 2026, 3:54 a.m.