Triple

T4060389
Position Surface form Disambiguated ID Type / Status
Subject 颐和园 E86196 entity
Predicate 主要建筑 P1544 FINISHED
Object 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。
E410396 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: 西堤 | Statement: [颐和园, 主要建筑, 西堤]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 西堤
Context triple: [颐和园, 主要建筑, 西堤]
  • A. 外滩
    外滩是位于中国上海黄浦江西岸、以万国建筑群和城市天际线景观著称的历史性滨水区域与著名旅游地标。
  • B. 沙面岛
    沙面岛是位于中国广州珠江中的一座历史文化小岛,以其保存完好的欧陆风情建筑群和曾为多国租界的独特殖民历史而闻名。
  • C. 溪口
    溪口是位于中国浙江省奉化区的一个历史悠久的小镇,以自然风光和民俗文化闻名。
  • D. 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.
  • E. Chengmei Riverside Park
    Chengmei Riverside Park is a scenic urban green space along the Keelung River in Taipei, known for its riverside trails, recreational facilities, and views of the city skyline.
  • 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: 西堤
Triple: [颐和园, 主要建筑, 西堤]
Generated description
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。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 西堤
Target entity description: 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。
  • A. 外滩
    外滩是位于中国上海黄浦江西岸、以万国建筑群和城市天际线景观著称的历史性滨水区域与著名旅游地标。
  • B. 沙面岛
    沙面岛是位于中国广州珠江中的一座历史文化小岛,以其保存完好的欧陆风情建筑群和曾为多国租界的独特殖民历史而闻名。
  • C. 溪口
    溪口是位于中国浙江省奉化区的一个历史悠久的小镇,以自然风光和民俗文化闻名。
  • D. 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.
  • E. Chengmei Riverside Park
    Chengmei Riverside Park is a scenic urban green space along the Keelung River in Taipei, known for its riverside trails, recreational facilities, and views of the city skyline.
  • 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_69aed93c69208190a4efac0efe3cd69b completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01994b0c8190b34af36acadad5c6 completed March 9, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562a98c488190a7e77cd46ff998bc completed March 14, 2026, 1:29 p.m.
NEDg Description generation batch_69b5637e72948190989169b0a46916a8 completed March 14, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_69b563fc4cb081908ba0f1a799338a8c completed March 14, 2026, 1:34 p.m.
Created at: March 9, 2026, 3:38 p.m.