Triple
T13666079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Wutai |
E327123
|
entity |
| Predicate | hasChineseName |
P4878
|
FINISHED |
| Object |
五台山
五台山是位于中国山西省、以文殊菩萨道场著称的佛教名山和世界文化遗产。
|
E1052313
|
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: 五台山 | Statement: [Mount Wutai, hasChineseName, 五台山]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 五台山 Context triple: [Mount Wutai, hasChineseName, 五台山]
-
A.
小五台山
小五台山是位于中国河北省境内、以原始自然风光和高山生态系统著称的山脉与自然保护区。
-
B.
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。
-
C.
北岳
北岳は山梨県に位置し、日本第二の高峰として知られる南アルプス(赤石山脈)の代表的な名山である。
-
D.
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。
-
E.
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。
- 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: 五台山 Triple: [Mount Wutai, hasChineseName, 五台山]
Generated description
五台山是位于中国山西省、以文殊菩萨道场著称的佛教名山和世界文化遗产。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 五台山 Target entity description: 五台山是位于中国山西省、以文殊菩萨道场著称的佛教名山和世界文化遗产。
-
A.
小五台山
小五台山是位于中国河北省境内、以原始自然风光和高山生态系统著称的山脉与自然保护区。
-
B.
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。
-
C.
北岳
北岳は山梨県に位置し、日本第二の高峰として知られる南アルプス(赤石山脈)の代表的な名山である。
-
D.
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。
-
E.
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。
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc623fcc88190bbad97541c040b7a |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b0cfe0c8190b0fe50931e9788cf |
completed | May 3, 2026, 5:51 p.m. |
| NEDg | Description generation | batch_69f78bd727048190a57a75294a9ab53d |
completed | May 3, 2026, 5:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78c9f543481909a0de6a0c3bb041f |
completed | May 3, 2026, 5:57 p.m. |
Created at: April 9, 2026, 9:52 p.m.