Triple
T15884754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daisetsuzan |
E385161
|
entity |
| Predicate | hasJapaneseName |
P9882
|
FINISHED |
| Object |
大雪山
大雪山 is a vast volcanic mountain range and national park in central Hokkaido, Japan, known for its rugged peaks, alpine scenery, and rich wildlife.
|
E1181113
|
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: 大雪山 | Statement: [Daisetsuzan, hasJapaneseName, 大雪山]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 大雪山 Context triple: [Daisetsuzan, hasJapaneseName, 大雪山]
-
A.
青山
青山は、東京都港区と渋谷区にまたがる洗練された商業エリアで、高級ブティックやカフェ、ギャラリーが集まるおしゃれな街として知られています。
-
B.
长白山
长白山是一座位于中朝边界、以火山天池和丰富自然资源闻名的著名高山与风景名胜区。
-
C.
七星山
七星山 is a prominent volcanic peak in northern Taiwan, located in Yangmingshan National Park and known for its scenic hiking trails and geothermal landscapes.
-
D.
Cangshan Mountains
The Cangshan Mountains are a scenic mountain range in Yunnan, China, known for their dramatic peaks, rich biodiversity, and role as a backdrop to the historic city of Dali.
-
E.
Meili Snow Mountains
Meili Snow Mountains is a sacred, glacier-clad mountain range in northwest Yunnan, China, famed for its dramatic peaks and significance in Tibetan Buddhism.
- 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: 大雪山 Triple: [Daisetsuzan, hasJapaneseName, 大雪山]
Generated description
大雪山 is a vast volcanic mountain range and national park in central Hokkaido, Japan, known for its rugged peaks, alpine scenery, and rich wildlife.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 大雪山 Target entity description: 大雪山 is a vast volcanic mountain range and national park in central Hokkaido, Japan, known for its rugged peaks, alpine scenery, and rich wildlife.
-
A.
青山
青山は、東京都港区と渋谷区にまたがる洗練された商業エリアで、高級ブティックやカフェ、ギャラリーが集まるおしゃれな街として知られています。
-
B.
长白山
长白山是一座位于中朝边界、以火山天池和丰富自然资源闻名的著名高山与风景名胜区。
-
C.
七星山
七星山 is a prominent volcanic peak in northern Taiwan, located in Yangmingshan National Park and known for its scenic hiking trails and geothermal landscapes.
-
D.
Cangshan Mountains
The Cangshan Mountains are a scenic mountain range in Yunnan, China, known for their dramatic peaks, rich biodiversity, and role as a backdrop to the historic city of Dali.
-
E.
Meili Snow Mountains
Meili Snow Mountains is a sacred, glacier-clad mountain range in northwest Yunnan, China, famed for its dramatic peaks and significance in Tibetan Buddhism.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1561997bc8190a40e7d68defbbddd |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa95651f88190a9aac72a667b999f |
completed | May 9, 2026, 9:38 p.m. |
| NEDg | Description generation | batch_69ffaa07df788190bae67f3d9a800331 |
completed | May 9, 2026, 9:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffaaa92a648190a09829ef3197223c |
completed | May 9, 2026, 9:44 p.m. |
Created at: April 10, 2026, 4:51 a.m.