Triple
T10034928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 黄冈市 |
E204941
|
entity |
| Predicate | 著名景区 |
P90521
|
FINISHED |
| Object |
蕲春李时珍故里
蕲春李时珍故里是位于湖北省黄冈市蕲春县、以纪念明代医药学家李时珍而闻名的历史文化旅游景区。
|
E836806
|
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: 蕲春李时珍故里 | Statement: [黄冈市, 著名景区, 蕲春李时珍故里]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 蕲春李时珍故里 Context triple: [黄冈市, 著名景区, 蕲春李时珍故里]
-
A.
黄州区
黄州区 is an urban district under the jurisdiction of Huanggang City in Hubei Province, China, known as its political, economic, and cultural center.
-
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.
孝感
孝感 is a prefecture-level city in central China’s Hubei Province, known for its historical and cultural heritage and its proximity to Wuhan.
-
D.
武当山旅游集散中心
武当山旅游集散中心是位于湖北省十堰市、为前往武当山景区游客提供集散换乘、咨询服务和综合配套设施的旅游服务枢纽。
-
E.
黄冈市
黄冈市是中国湖北省东部的一座地级市,位于长江中游、与武汉相邻,以其红色革命历史和丰富的自然资源而闻名。
- 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: 蕲春李时珍故里 Triple: [黄冈市, 著名景区, 蕲春李时珍故里]
Generated description
蕲春李时珍故里是位于湖北省黄冈市蕲春县、以纪念明代医药学家李时珍而闻名的历史文化旅游景区。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 蕲春李时珍故里 Target entity description: 蕲春李时珍故里是位于湖北省黄冈市蕲春县、以纪念明代医药学家李时珍而闻名的历史文化旅游景区。
-
A.
黄州区
黄州区 is an urban district under the jurisdiction of Huanggang City in Hubei Province, China, known as its political, economic, and cultural center.
-
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.
孝感
孝感 is a prefecture-level city in central China’s Hubei Province, known for its historical and cultural heritage and its proximity to Wuhan.
-
D.
武当山旅游集散中心
武当山旅游集散中心是位于湖北省十堰市、为前往武当山景区游客提供集散换乘、咨询服务和综合配套设施的旅游服务枢纽。
-
E.
黄冈市
黄冈市是中国湖北省东部的一座地级市,位于长江中游、与武汉相邻,以其红色革命历史和丰富的自然资源而闻名。
- 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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdce4a515c8190baec86d924623b12 |
completed | April 2, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d28250be608190b7e2b809672cdd78 |
completed | April 5, 2026, 3:40 p.m. |
| NEDg | Description generation | batch_69d2834f6d488190812f91a5b4971c1e |
completed | April 5, 2026, 3:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d28432d900819091ff0d324a6bb28a |
completed | April 5, 2026, 3:48 p.m. |
Created at: March 30, 2026, 8:55 p.m.