Triple
T5036476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paektu Mountain |
E113435
|
entity |
| Predicate | nameInChinese |
P4878
|
FINISHED |
| Object |
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。
|
E488628
|
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: 长白山 | Statement: [Paektu Mountain, nameInChinese, 长白山]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 长白山 Context triple: [Paektu Mountain, nameInChinese, 长白山]
-
A.
Qianshan Mountains
The Qianshan Mountains are a scenic mountain range in northeastern China known for their forested peaks, Buddhist and Taoist temples, and popular hiking and pilgrimage routes.
-
B.
Jiugong Mountain
Jiugong Mountain is a scenic mountainous area in Hubei Province, China, known for its natural beauty, Buddhist temples, and popular hiking routes.
-
C.
Xiaowutai Mountain
Xiaowutai Mountain is the highest peak of the Taihang mountain range in northern China, known for its rugged terrain and alpine scenery.
-
D.
Lushan Mountain
Lushan Mountain is a famous scenic and cultural mountain area in southeastern China, renowned for its dramatic cliffs, misty landscapes, and historical significance as a UNESCO World Heritage Site.
-
E.
Wuzhishan
Wuzhishan is a county-level city in central Hainan, China, known for its mountainous terrain and tropical rainforest environment.
- 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: 长白山 Triple: [Paektu Mountain, nameInChinese, 长白山]
Generated description
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。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 长白山 Target entity description: 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。
-
A.
Qianshan Mountains
The Qianshan Mountains are a scenic mountain range in northeastern China known for their forested peaks, Buddhist and Taoist temples, and popular hiking and pilgrimage routes.
-
B.
Jiugong Mountain
Jiugong Mountain is a scenic mountainous area in Hubei Province, China, known for its natural beauty, Buddhist temples, and popular hiking routes.
-
C.
Xiaowutai Mountain
Xiaowutai Mountain is the highest peak of the Taihang mountain range in northern China, known for its rugged terrain and alpine scenery.
-
D.
Lushan Mountain
Lushan Mountain is a famous scenic and cultural mountain area in southeastern China, renowned for its dramatic cliffs, misty landscapes, and historical significance as a UNESCO World Heritage Site.
-
E.
Wuzhishan
Wuzhishan is a county-level city in central Hainan, China, known for its mountainous terrain and tropical rainforest environment.
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73bb069c8190af86f1b2f95f3d95 |
completed | March 20, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c79265081908512b39cc74161f8 |
completed | March 21, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_69be9d517df88190bcd682badaca96c8 |
completed | March 21, 2026, 1:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be9dea9de48190805b1e3527b47a00 |
completed | March 21, 2026, 1:32 p.m. |
Created at: March 20, 2026, 1:37 p.m.