Triple
T15701504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xueshan Range |
E380603
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Pintianshan
Pintianshan is a prominent mountain within Taiwan’s central highlands, known for its rugged terrain and alpine scenery.
|
E1172003
|
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: Pintianshan | Statement: [Xueshan Range, contains, Pintianshan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pintianshan Context triple: [Xueshan Range, contains, Pintianshan]
-
A.
Qianfoshan
Qianfoshan is a famous scenic mountain in Jinan, China, renowned for its numerous ancient Buddhist statues and temples.
-
B.
Hongshan
Hongshan is a mountainous area within China’s Three Parallel Rivers of Yunnan Protected Areas, noted for its dramatic high-altitude landscapes and rich biodiversity.
-
C.
Zhuzihu
Zhuzihu is a scenic valley area in Taipei’s Yangmingshan National Park, best known for its cool-climate agriculture and seasonal calla lily fields.
-
D.
Beishan site
The Beishan site is a major section of the Dazu Rock Carvings in Chongqing, China, renowned for its extensive Buddhist cliff sculptures dating mainly from the 9th to 13th centuries.
-
E.
Yishan
Yishan was a Qing dynasty military commander and noble who led Chinese forces during the First Opium War against Britain.
- 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: Pintianshan Triple: [Xueshan Range, contains, Pintianshan]
Generated description
Pintianshan is a prominent mountain within Taiwan’s central highlands, known for its rugged terrain and alpine scenery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pintianshan Target entity description: Pintianshan is a prominent mountain within Taiwan’s central highlands, known for its rugged terrain and alpine scenery.
-
A.
Qianfoshan
Qianfoshan is a famous scenic mountain in Jinan, China, renowned for its numerous ancient Buddhist statues and temples.
-
B.
Hongshan
Hongshan is a mountainous area within China’s Three Parallel Rivers of Yunnan Protected Areas, noted for its dramatic high-altitude landscapes and rich biodiversity.
-
C.
Zhuzihu
Zhuzihu is a scenic valley area in Taipei’s Yangmingshan National Park, best known for its cool-climate agriculture and seasonal calla lily fields.
-
D.
Beishan site
The Beishan site is a major section of the Dazu Rock Carvings in Chongqing, China, renowned for its extensive Buddhist cliff sculptures dating mainly from the 9th to 13th centuries.
-
E.
Yishan
Yishan was a Qing dynasty military commander and noble who led Chinese forces during the First Opium War against Britain.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f6e965881909319f85c51c6fb74 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff75756ecc8190bd2123ddfd080fd1 |
completed | May 9, 2026, 5:57 p.m. |
| NEDg | Description generation | batch_69ff763d40348190bf102da746420390 |
completed | May 9, 2026, 6 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff76ec45948190bee47609c0d2fd10 |
completed | May 9, 2026, 6:03 p.m. |
Created at: April 10, 2026, 4:45 a.m.