Triple
T18600213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 大分県 |
E454597
|
entity |
| Predicate | 有名な温泉地 |
P10233
|
FINISHED |
| Object |
由布院温泉
由布院温泉は、大分県由布市の由布岳麓に広がる、自然景観とおしゃれな街並み、豊富な湯量で知られる人気の温泉観光地です。
|
E1333471
|
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: 由布院温泉 | Statement: [大分県, 有名な温泉地, 由布院温泉]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 由布院温泉 Context triple: [大分県, 有名な温泉地, 由布院温泉]
-
A.
Higashiyama Onsen
Higashiyama Onsen is a historic Japanese hot spring resort town known for its traditional ryokan inns and scenic riverside setting.
-
B.
Shirahama Onsen
Shirahama Onsen is one of Japan’s oldest and most famous hot spring resorts, known for its coastal baths, white sand beach, and long history as a healing retreat.
-
C.
Yunohama Onsen
Yunohama Onsen is a coastal hot spring resort area in Tsuruoka, Yamagata Prefecture, known for its seaside baths and scenic views of the Sea of Japan.
-
D.
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.
-
E.
Izu Nagaoka Onsen
Izu Nagaoka Onsen is a traditional Japanese hot spring resort town on the Izu Peninsula, known for its therapeutic baths, ryokan inns, and views of Mount Fuji.
- 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: 由布院温泉 Triple: [大分県, 有名な温泉地, 由布院温泉]
Generated description
由布院温泉は、大分県由布市の由布岳麓に広がる、自然景観とおしゃれな街並み、豊富な湯量で知られる人気の温泉観光地です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 由布院温泉 Target entity description: 由布院温泉は、大分県由布市の由布岳麓に広がる、自然景観とおしゃれな街並み、豊富な湯量で知られる人気の温泉観光地です。
-
A.
Higashiyama Onsen
Higashiyama Onsen is a historic Japanese hot spring resort town known for its traditional ryokan inns and scenic riverside setting.
-
B.
Shirahama Onsen
Shirahama Onsen is one of Japan’s oldest and most famous hot spring resorts, known for its coastal baths, white sand beach, and long history as a healing retreat.
-
C.
Yunohama Onsen
Yunohama Onsen is a coastal hot spring resort area in Tsuruoka, Yamagata Prefecture, known for its seaside baths and scenic views of the Sea of Japan.
-
D.
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.
-
E.
Izu Nagaoka Onsen
Izu Nagaoka Onsen is a traditional Japanese hot spring resort town on the Izu Peninsula, known for its therapeutic baths, ryokan inns, and views of Mount Fuji.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5475018548190a2f497081af7ce55 |
completed | April 19, 2026, 9:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050381bacc81909f416e8b9910f046 |
completed | May 13, 2026, 11:04 p.m. |
| NEDg | Description generation | batch_6a0504ff8c6c8190a211b3f3e30229b4 |
completed | May 13, 2026, 11:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0505606bf88190afe635b2517d170b |
completed | May 13, 2026, 11:12 p.m. |
Created at: April 10, 2026, 11:45 a.m.