Triple
T5233217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese Buddhism |
E118156
|
entity |
| Predicate | hasCenter |
P35
|
FINISHED |
| Object |
Mount Jiuhua
Mount Jiuhua is one of China’s four sacred Buddhist mountains, renowned as a major pilgrimage site associated with the bodhisattva Kṣitigarbha (Dizang).
|
E510619
|
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: Mount Jiuhua | Statement: [Chinese Buddhism, hasCenter, Mount Jiuhua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Jiuhua Context triple: [Chinese Buddhism, hasCenter, Mount Jiuhua]
-
A.
Jiugong Mountain
Jiugong Mountain is a scenic mountainous area in Hubei Province, China, known for its natural beauty, Buddhist temples, and popular hiking routes.
-
B.
Tianshou Mountain
Tianshou Mountain is a notable mountain in China, recognized for its scenic landscapes and cultural significance.
-
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.
Jiulongshan
Jiulongshan is a subway station in Beijing that serves as part of the city's extensive urban rail transit network.
-
E.
Xiaoguanyin Mountain
Xiaoguanyin Mountain is a prominent volcanic peak within Taiwan’s Yangmingshan range, known for its rugged terrain and scenic hiking routes.
- 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: Mount Jiuhua Triple: [Chinese Buddhism, hasCenter, Mount Jiuhua]
Generated description
Mount Jiuhua is one of China’s four sacred Buddhist mountains, renowned as a major pilgrimage site associated with the bodhisattva Kṣitigarbha (Dizang).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mount Jiuhua Target entity description: Mount Jiuhua is one of China’s four sacred Buddhist mountains, renowned as a major pilgrimage site associated with the bodhisattva Kṣitigarbha (Dizang).
-
A.
Jiugong Mountain
Jiugong Mountain is a scenic mountainous area in Hubei Province, China, known for its natural beauty, Buddhist temples, and popular hiking routes.
-
B.
Tianshou Mountain
Tianshou Mountain is a notable mountain in China, recognized for its scenic landscapes and cultural significance.
-
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.
Jiulongshan
Jiulongshan is a subway station in Beijing that serves as part of the city's extensive urban rail transit network.
-
E.
Xiaoguanyin Mountain
Xiaoguanyin Mountain is a prominent volcanic peak within Taiwan’s Yangmingshan range, known for its rugged terrain and scenic hiking routes.
- 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b0389048190b55b7c44fe657044 |
completed | March 20, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf10ca0a1c8190a3cc0537886281e5 |
completed | March 21, 2026, 9:42 p.m. |
| NEDg | Description generation | batch_69bf1280a8e08190a99d20e50b468afb |
completed | March 21, 2026, 9:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf12e32f248190977820dd1220db22 |
completed | March 21, 2026, 9:51 p.m. |
Created at: March 20, 2026, 1:49 p.m.