Triple

T16047168
Position Surface form Disambiguated ID Type / Status
Subject Shichahai E389251 entity
Predicate ChineseName P744 FINISHED
Object 什刹海
什刹海是位于北京市西城区、由前海、后海和西海三部分组成的历史风景水域与传统胡同街区,以古迹众多和老北京风情闻名。
E1190822 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: 什刹海 | Statement: [Shichahai, ChineseName, 什刹海]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 什刹海
Context triple: [Shichahai, ChineseName, 什刹海]
  • A. 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。
  • B. 景山
    景山 is a historic artificial hill and scenic park located just north of the Forbidden City in central Beijing, China.
  • 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. 前门大街
    前门大街 is a historic commercial pedestrian street in central Beijing, known for its traditional architecture, long-standing shops, and role as a major cultural and tourist destination near Tiananmen Square.
  • E. 月坛
    月坛是位于北京市西城区、明清时期用于祭月的古代皇家祭坛遗址及现今的城市公园。
  • 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: 什刹海
Triple: [Shichahai, ChineseName, 什刹海]
Generated description
什刹海是位于北京市西城区、由前海、后海和西海三部分组成的历史风景水域与传统胡同街区,以古迹众多和老北京风情闻名。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 什刹海
Target entity description: 什刹海是位于北京市西城区、由前海、后海和西海三部分组成的历史风景水域与传统胡同街区,以古迹众多和老北京风情闻名。
  • A. 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。
  • B. 景山
    景山 is a historic artificial hill and scenic park located just north of the Forbidden City in central Beijing, China.
  • 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. 前门大街
    前门大街 is a historic commercial pedestrian street in central Beijing, known for its traditional architecture, long-standing shops, and role as a major cultural and tourist destination near Tiananmen Square.
  • E. 月坛
    月坛是位于北京市西城区、明清时期用于祭月的古代皇家祭坛遗址及现今的城市公园。
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1835eda348190aff492f0ff668cce completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbddc25481908fca660c4f14eaff completed May 10, 2026, 1:14 a.m.
NEDg Description generation batch_69ffdc915be88190a0e949fcee608242 completed May 10, 2026, 1:17 a.m.
NED2 Entity disambiguation (via description) batch_69ffdd17239c8190a3c0c4d146a279f7 completed May 10, 2026, 1:19 a.m.
Created at: April 10, 2026, 4:56 a.m.