Triple
T13320691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thousand Buddha Mountain |
E317306
|
entity |
| Predicate | hasChineseName |
P4878
|
FINISHED |
| Object |
千佛山
千佛山 is a famous scenic and religious mountain in Jinan, Shandong Province, known for its numerous Buddhist statues, temples, and historical sites.
|
E1032919
|
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: 千佛山 | Statement: [Thousand Buddha Mountain, hasChineseName, 千佛山]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 千佛山 Context triple: [Thousand Buddha Mountain, hasChineseName, 千佛山]
-
A.
宝塔山
宝塔山是位于中国陕西省延安市的一座著名山丘与地标性景区,以山顶的古塔和其在中国革命历史中的象征意义而闻名。
-
B.
云龙山
云龙山是一座位于中国的山岳景区,以秀美的自然风光和人文景观而闻名。
-
C.
武当山
武当山是位于中国湖北省的著名道教名山和世界文化遗产,以其古建筑群和武当武术而闻名。
-
D.
王屋山
王屋山是位于中国河南省境内、以道教文化和自然风光著称的名山。
-
E.
Mount Tai scenic area
Mount Tai scenic area is a famous mountainous cultural and natural attraction in Shandong, China, renowned for its historic temples, ancient stone inscriptions, and panoramic sunrise 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: 千佛山 Triple: [Thousand Buddha Mountain, hasChineseName, 千佛山]
Generated description
千佛山 is a famous scenic and religious mountain in Jinan, Shandong Province, known for its numerous Buddhist statues, temples, and historical sites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 千佛山 Target entity description: 千佛山 is a famous scenic and religious mountain in Jinan, Shandong Province, known for its numerous Buddhist statues, temples, and historical sites.
-
A.
宝塔山
宝塔山是位于中国陕西省延安市的一座著名山丘与地标性景区,以山顶的古塔和其在中国革命历史中的象征意义而闻名。
-
B.
云龙山
云龙山是一座位于中国的山岳景区,以秀美的自然风光和人文景观而闻名。
-
C.
武当山
武当山是位于中国湖北省的著名道教名山和世界文化遗产,以其古建筑群和武当武术而闻名。
-
D.
王屋山
王屋山是位于中国河南省境内、以道教文化和自然风光著称的名山。
-
E.
Mount Tai scenic area
Mount Tai scenic area is a famous mountainous cultural and natural attraction in Shandong, China, renowned for its historic temples, ancient stone inscriptions, and panoramic sunrise 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990faa95481908a7fd297959c062e |
completed | April 11, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716ee695c81909ffeeb0901ee66c1 |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f717f4d80c8190a1a95c0f2c83c563 |
completed | May 3, 2026, 9:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f718b994188190b273cc6116919c22 |
completed | May 3, 2026, 9:43 a.m. |
Created at: April 9, 2026, 9:30 p.m.