Triple

T10034924
Position Surface form Disambiguated ID Type / Status
Subject 黄冈市 E204941 entity
Predicate 著名景区 P90521 FINISHED
Object 遗爱湖
遗爱湖是位于湖北省黄冈市的一处以湖光山色和人文景观相融合而闻名的城市生态湖泊与休闲旅游胜地。
 E836804 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: 遗爱湖 | Statement: [黄冈市, 著名景区, 遗爱湖]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 遗爱湖
Context triple: [黄冈市, 著名景区, 遗爱湖]
  • A. 北秀湖
    北秀湖 is a scenic urban lake in China known for its landscaped surroundings and recreational waterfront environment.
  • B. 西堤
    西堤是位于北京颐和园昆明湖西侧的一条仿杭州苏堤而建的长堤景观，以其连桥叠景和湖山胜色著称。
  • C. 慈湖
    慈湖 is a scenic lake in Taiwan known for its tranquil natural surroundings and historical significance as the site of the Cihu Mausoleum of former President Chiang Kai-shek.
  • D. 汉阳
    汉阳是中国湖北省武汉市的一个历史悠久的城区，位于长江与汉江交汇处，以其工业基础和文化遗产而闻名。
  • E. 晴川阁
    晴川阁是一座位于湖北武汉汉阳江畔、以优美江景和深厚历史文化底蕴著称的古典楼阁式建筑。
  • 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: 遗爱湖
Triple: [黄冈市, 著名景区, 遗爱湖]
Generated description
遗爱湖是位于湖北省黄冈市的一处以湖光山色和人文景观相融合而闻名的城市生态湖泊与休闲旅游胜地。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 遗爱湖
Target entity description: 遗爱湖是位于湖北省黄冈市的一处以湖光山色和人文景观相融合而闻名的城市生态湖泊与休闲旅游胜地。
  • A. 北秀湖
    北秀湖 is a scenic urban lake in China known for its landscaped surroundings and recreational waterfront environment.
  • B. 西堤
    西堤是位于北京颐和园昆明湖西侧的一条仿杭州苏堤而建的长堤景观，以其连桥叠景和湖山胜色著称。
  • C. 慈湖
    慈湖 is a scenic lake in Taiwan known for its tranquil natural surroundings and historical significance as the site of the Cihu Mausoleum of former President Chiang Kai-shek.
  • D. 汉阳
    汉阳是中国湖北省武汉市的一个历史悠久的城区，位于长江与汉江交汇处，以其工业基础和文化遗产而闻名。
  • E. 晴川阁
    晴川阁是一座位于湖北武汉汉阳江畔、以优美江景和深厚历史文化底蕴著称的古典楼阁式建筑。
  • 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.