Triple
T1135533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyogo Prefecture |
E23129
|
entity |
| Predicate | hasHotSpringResort |
P19664
|
FINISHED |
| Object |
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.
|
E135461
|
NE FINISHED |
How this triple was built (4 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: Kinosaki Onsen | Statement: [Hyogo Prefecture, hasHotSpringResort, Kinosaki Onsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kinosaki Onsen Context triple: [Hyogo Prefecture, hasHotSpringResort, Kinosaki Onsen]
-
A.
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.
-
B.
Takachiho
Takachiho is a town in Miyazaki Prefecture, Japan, famed in mythology as a sacred site of the Japanese creation legends and early imperial origins.
-
C.
Kumano
Kumano was a Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
-
D.
Beppu
Beppu is a famous Japanese city on the island of Kyushu renowned for its numerous hot springs and geothermal attractions.
-
E.
Niseko
Niseko is a renowned ski resort area in northern Japan famous for its abundant light powder snow, extensive slopes, and vibrant international winter sports scene.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kinosaki Onsen Triple: [Hyogo Prefecture, hasHotSpringResort, Kinosaki Onsen]
Generated description
Kinosaki Onsen is a historic Japanese hot spring town famed for its seven public bathhouses, traditional ryokan inns, and picturesque willow-lined canals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kinosaki Onsen Target entity description: Kinosaki Onsen is a historic Japanese hot spring town famed for its seven public bathhouses, traditional ryokan inns, and picturesque willow-lined canals.
-
A.
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.
-
B.
Takachiho
Takachiho is a town in Miyazaki Prefecture, Japan, famed in mythology as a sacred site of the Japanese creation legends and early imperial origins.
-
C.
Kumano
Kumano was a Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
-
D.
Beppu
Beppu is a famous Japanese city on the island of Kyushu renowned for its numerous hot springs and geothermal attractions.
-
E.
Niseko
Niseko is a renowned ski resort area in northern Japan famous for its abundant light powder snow, extensive slopes, and vibrant international winter sports scene.
- F. None of above. chosen
Provenance (5 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_69a493ec75988190b63a11bafaec29b4 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bf0ecd448190affb5c24c3520732 |
completed | March 1, 2026, 10:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac6f11a31481909e11a01b12841b3d |
completed | March 7, 2026, 6:31 p.m. |
| NEDg | Description generation | batch_69ac71788d0081909d7931319d93db36 |
completed | March 7, 2026, 6:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac71cd1f048190b8b4aa48a878d8b7 |
completed | March 7, 2026, 6:43 p.m. |
Created at: March 1, 2026, 7:44 p.m.