Triple
T21383015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gifu Prefecture |
E527409
|
entity |
| Predicate | hasNotableOnsenArea |
P32542
|
FINISHED |
| Object | Gero Onsen |
—
|
NE NERFINISHED |
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: Gero Onsen | Statement: [Gifu Prefecture, hasNotableOnsenArea, Gero Onsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gero Onsen Context triple: [Gifu Prefecture, hasNotableOnsenArea, Gero Onsen]
-
A.
Akan Onsen
Akan Onsen is a hot spring resort area in eastern Hokkaido, Japan, known for its lakeside setting, traditional ryokan inns, and access to volcanic landscapes within Akan-Mashu National Park.
-
B.
Dake Onsen
Dake Onsen is a traditional Japanese hot spring resort town in Fukushima Prefecture, known for its scenic mountain setting and therapeutic baths.
-
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.
Oga Onsen
Oga Onsen is a coastal hot spring resort area on Japan’s Oga Peninsula, known for its traditional baths, ocean views, and connection to local Namahage folklore.
-
E.
Zao Onsen
Zao Onsen is a historic hot spring resort in Japan renowned for its sulfurous baths, ski slopes, and scenic mountain landscapes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gero Onsen Target entity description: Gero Onsen is one of Japan’s most famous hot spring resorts, renowned for its high-quality alkaline waters and traditional ryokan atmosphere in Gifu Prefecture.
-
A.
Akan Onsen
Akan Onsen is a hot spring resort area in eastern Hokkaido, Japan, known for its lakeside setting, traditional ryokan inns, and access to volcanic landscapes within Akan-Mashu National Park.
-
B.
Dake Onsen
Dake Onsen is a traditional Japanese hot spring resort town in Fukushima Prefecture, known for its scenic mountain setting and therapeutic baths.
-
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.
Oga Onsen
Oga Onsen is a coastal hot spring resort area on Japan’s Oga Peninsula, known for its traditional baths, ocean views, and connection to local Namahage folklore.
-
E.
Zao Onsen
Zao Onsen is a historic hot spring resort in Japan renowned for its sulfurous baths, ski slopes, and scenic mountain landscapes.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableOnsenArea Context triple: [Gifu Prefecture, hasNotableOnsenArea, Gero Onsen]
-
A.
nearOnsenTown
Indicates that one entity is located close to a town that has or is known for hot spring facilities.
-
B.
hasNotableScenicSpot
Indicates that an entity possesses or is associated with a particularly remarkable or well-known scenic location.
-
C.
hasHotSpring
chosen
Indicates that one entity possesses, contains, or is associated with a hot spring.
-
D.
hasNumberOfHotSprings
Indicates the quantity of hot springs associated with a given entity.
-
E.
hasNotableNatureArea
Indicates that an entity possesses or is associated with a significant or noteworthy natural area.
- F. None of above.
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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0f05278819096c511035ffc9777 |
completed | April 22, 2026, 11:28 a.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 5:12 p.m.