Triple
T12210809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yunlong Mountain |
E290950
|
entity |
| Predicate | ChineseName |
P744
|
FINISHED |
| Object |
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。
|
E971337
|
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: 云龙山 | Statement: [Yunlong Mountain, ChineseName, 云龙山]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 云龙山 Context triple: [Yunlong Mountain, ChineseName, 云龙山]
-
A.
蛇山
蛇山 is a well-known hill in Wuhan, Hubei Province, China, noted for its scenic views over the Yangtze River and its historical and cultural significance.
-
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.
赤城山
赤城山 is a prominent volcanic mountain in Japan’s Gunma Prefecture, famed for its caldera lakes, hiking trails, and frequent appearance in Japanese folklore and popular culture.
-
D.
排云殿
排云殿是位于北京颐和园内的一组重要宫殿式建筑群,曾为清代皇室举行庆典和宴会的主要场所之一。
-
E.
青云亭
青云亭 is the Chinese name of Cheng Hoon Teng Temple, a historic and culturally significant Chinese temple located in Malacca, Malaysia.
- 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: 云龙山 Triple: [Yunlong Mountain, ChineseName, 云龙山]
Generated description
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。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 云龙山 Target entity description: 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。
-
A.
蛇山
蛇山 is a well-known hill in Wuhan, Hubei Province, China, noted for its scenic views over the Yangtze River and its historical and cultural significance.
-
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.
赤城山
赤城山 is a prominent volcanic mountain in Japan’s Gunma Prefecture, famed for its caldera lakes, hiking trails, and frequent appearance in Japanese folklore and popular culture.
-
D.
排云殿
排云殿是位于北京颐和园内的一组重要宫殿式建筑群,曾为清代皇室举行庆典和宴会的主要场所之一。
-
E.
青云亭
青云亭 is the Chinese name of Cheng Hoon Teng Temple, a historic and culturally significant Chinese temple located in Malacca, Malaysia.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c7ed4688190b0546b784e36b0ec |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a9f45108190a814cdca52e77b5e |
completed | May 2, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_69f60bdbee288190991b08ae685bb401 |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f610ba7a608190b29f25ee2752ba7e |
completed | May 2, 2026, 2:56 p.m. |
Created at: April 8, 2026, 9:51 p.m.