Triple

T16919126
Position Surface form Disambiguated ID Type / Status
Subject 西堤 E410396 entity
Predicate 仿建自 P104274 FINISHED
Object 杭州苏堤
杭州苏堤是位于杭州西湖上的著名堤岸景观,以春日“苏堤春晓”美景闻名于世。
E1240614 NE FINISHED

How this triple was built (5 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: 杭州苏堤 | Statement: [西堤, 仿建自, 杭州苏堤]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 杭州苏堤
Context triple: [西堤, 仿建自, 杭州苏堤]
  • A. 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。
  • B. 狮子林
    狮子林是位于中国苏州的一座以太湖石假山群和园林建筑著称的古典私家园林。
  • C. 颐和园
    颐和园是位于北京市西北部、以宏伟的皇家园林建筑和昆明湖、万寿山自然景观著称的世界文化遗产。
  • D. 春帆楼
    春帆楼 is a historic traditional Japanese restaurant and inn in Shimonoseki, Yamaguchi Prefecture, famed as the site where the Treaty of Shimonoseki was signed.
  • E. 北海公园
    北海公园是位于北京市中心、以皇家园林景观和历史文化遗迹著称的大型古典园林公园。
  • 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: 杭州苏堤
Triple: [西堤, 仿建自, 杭州苏堤]
Generated description
杭州苏堤是位于杭州西湖上的著名堤岸景观,以春日“苏堤春晓”美景闻名于世。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 杭州苏堤
Target entity description: 杭州苏堤是位于杭州西湖上的著名堤岸景观,以春日“苏堤春晓”美景闻名于世。
  • A. 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。
  • B. 狮子林
    狮子林是位于中国苏州的一座以太湖石假山群和园林建筑著称的古典私家园林。
  • C. 颐和园
    颐和园是位于北京市西北部、以宏伟的皇家园林建筑和昆明湖、万寿山自然景观著称的世界文化遗产。
  • D. 春帆楼
    春帆楼 is a historic traditional Japanese restaurant and inn in Shimonoseki, Yamaguchi Prefecture, famed as the site where the Treaty of Shimonoseki was signed.
  • E. 北海公园
    北海公园是位于北京市中心、以皇家园林景观和历史文化遗迹著称的大型古典园林公园。
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 仿建自
Context triple: [西堤, 仿建自, 杭州苏堤]
  • A. builtStructureFor
    Indicates that one entity constructed or assembled a structure specifically intended for the use, benefit, or purpose of another entity.
  • B. hasBuildingFrom
    Indicates a relationship where a location or site possesses or includes a building that originates from, or was constructed in, a specified time period, source, or context.
  • C. buildingRedesignedBy
    Indicates that a building has undergone a redesign carried out by the specified agent or designer.
  • D. buildingInspired chosen
    Indicates that one building’s design, style, or concept was influenced or derived from another building.
  • E. builtFrom
    Indicates that one entity is constructed, composed, or formed using another entity as its material, component, or source.
  • F. None of above.

Provenance (6 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cdec3d0c8190994a0fca335c65d6 completed April 18, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7c2c9cc8190b6d59d0a8edd078d completed May 10, 2026, 6 p.m.
NEDg Description generation batch_6a00c8f445248190be5f3de196e40f1f completed May 10, 2026, 6:05 p.m.
NED2 Entity disambiguation (via description) batch_6a00cd2bbd9881909f5e216cb6262a72 completed May 10, 2026, 6:23 p.m.
PD Predicate disambiguation batch_69e32b982f548190b08414d55810de19 completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:30 a.m.