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.