Triple
T3669376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yangmingshan |
E77839
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object |
Xiaoguanyin Mountain
Xiaoguanyin Mountain is a prominent volcanic peak within Taiwan’s Yangmingshan range, known for its rugged terrain and scenic hiking routes.
|
E383451
|
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: Xiaoguanyin Mountain | Statement: [Yangmingshan, hasPeak, Xiaoguanyin Mountain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xiaoguanyin Mountain Context triple: [Yangmingshan, hasPeak, Xiaoguanyin Mountain]
-
A.
Tianshou Mountain
Tianshou Mountain is a notable mountain in China, recognized for its scenic landscapes and cultural significance.
-
B.
Xiaowutai Mountain
Xiaowutai Mountain is the highest peak of the Taihang mountain range in northern China, known for its rugged terrain and alpine scenery.
-
C.
Yufeng Mountain
Yufeng Mountain is a scenic, historically significant mountain and popular tourist destination located near Liuzhou in China’s Guangxi region.
-
D.
Yunlong Mountain
Yunlong Mountain is a scenic and historically significant mountain area in Xuzhou, China, known for its natural beauty, temples, and cultural sites.
-
E.
Yuejing Hill
Yuejing Hill is one of the scenic hills within Guangzhou’s Yuexiu Park, known for its greenery, walking paths, and city views.
- 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: Xiaoguanyin Mountain Triple: [Yangmingshan, hasPeak, Xiaoguanyin Mountain]
Generated description
Xiaoguanyin Mountain is a prominent volcanic peak within Taiwan’s Yangmingshan range, known for its rugged terrain and scenic hiking routes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xiaoguanyin Mountain Target entity description: Xiaoguanyin Mountain is a prominent volcanic peak within Taiwan’s Yangmingshan range, known for its rugged terrain and scenic hiking routes.
-
A.
Tianshou Mountain
Tianshou Mountain is a notable mountain in China, recognized for its scenic landscapes and cultural significance.
-
B.
Xiaowutai Mountain
Xiaowutai Mountain is the highest peak of the Taihang mountain range in northern China, known for its rugged terrain and alpine scenery.
-
C.
Yufeng Mountain
Yufeng Mountain is a scenic, historically significant mountain and popular tourist destination located near Liuzhou in China’s Guangxi region.
-
D.
Yunlong Mountain
Yunlong Mountain is a scenic and historically significant mountain area in Xuzhou, China, known for its natural beauty, temples, and cultural sites.
-
E.
Yuejing Hill
Yuejing Hill is one of the scenic hills within Guangzhou’s Yuexiu Park, known for its greenery, walking paths, and city views.
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc42b3f94819091d51e488bc3f2f2 |
completed | March 8, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4dafd43b081908c7ff89e0f55bb5a |
completed | March 14, 2026, 3:50 a.m. |
| NEDg | Description generation | batch_69b4dc4ea4d8819088b5d6242220976e |
completed | March 14, 2026, 3:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4dcac6fdc81908998415ffe1aabaa |
completed | March 14, 2026, 3:57 a.m. |
Created at: March 8, 2026, 3:25 p.m.