Triple
T16694182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beppu Bay |
E405671
|
entity |
| Predicate | tourismRelatedTo |
P33214
|
FINISHED |
| Object | Beppu onsen |
E1229841
|
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: Beppu onsen | Statement: [Beppu Bay, tourismRelatedTo, Beppu onsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beppu onsen Context triple: [Beppu Bay, tourismRelatedTo, Beppu onsen]
-
A.
Beppu Onsen
chosen
Beppu Onsen is one of Japan’s most famous hot spring resort areas, renowned for its numerous baths, steaming “hell” springs, and long-standing onsen culture.
-
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.
Ako Onsen
Ako Onsen is a coastal hot spring resort area in Ako, Hyōgo Prefecture, Japan, known for its seaside baths and views of the Seto Inland Sea.
-
D.
Shinshinotsu
Shinshinotsu is a small village in Hokkaido, Japan, known for its rural landscapes, hot springs, and agricultural character.
-
E.
Seoto-no-Yu onsen
Seoto-no-Yu onsen is a traditional Japanese hot spring facility in Akiruno, Tokyo, known for its relaxing baths set amid natural, scenic surroundings.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37eab93a081909aedc45f3f8f0e10 |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c29693dc819096993d8ba0fb3d71 |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.