Triple

T14823603
Position Surface form Disambiguated ID Type / Status
Subject Qianmen Street E348514 entity
Predicate ChineseName P744 FINISHED
Object 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.
E1122932 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: 前门大街 | Statement: [Qianmen Street, ChineseName, 前门大街]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 前门大街
Context triple: [Qianmen Street, ChineseName, 前门大街]
  • A. 王府井大街
    王府井大街 is one of Beijing’s most famous and bustling shopping streets, known for its large department stores, traditional snack stalls, and vibrant pedestrian atmosphere.
  • B. 阜成门
    阜成门是北京旧城西部的一座历史城门遗址,曾是明清时期京城重要的出入口之一。
  • C. 崇文门
    崇文门是北京明清时期内城东南部的一座重要城门遗址及地名,如今也是地铁与商业区的交通枢纽。
  • D. 菜市口
    菜市口 is a historic area and major intersection in Beijing, China, formerly known as a public execution ground during the Qing dynasty and now a busy commercial and residential district.
  • E. 春熙路
    春熙路是位于中国四川省成都市市中心的一条历史悠久且最为繁华的商业步行街,以购物、美食和城市休闲氛围闻名。
  • 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: 前门大街
Triple: [Qianmen Street, ChineseName, 前门大街]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 前门大街
Target entity description: 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.
  • A. 王府井大街
    王府井大街 is one of Beijing’s most famous and bustling shopping streets, known for its large department stores, traditional snack stalls, and vibrant pedestrian atmosphere.
  • B. 阜成门
    阜成门是北京旧城西部的一座历史城门遗址,曾是明清时期京城重要的出入口之一。
  • C. 崇文门
    崇文门是北京明清时期内城东南部的一座重要城门遗址及地名,如今也是地铁与商业区的交通枢纽。
  • D. 菜市口
    菜市口 is a historic area and major intersection in Beijing, China, formerly known as a public execution ground during the Qing dynasty and now a busy commercial and residential district.
  • E. 春熙路
    春熙路是位于中国四川省成都市市中心的一条历史悠久且最为繁华的商业步行街,以购物、美食和城市休闲氛围闻名。
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe7a8dc8190bcb5ecfa1cbf1601 completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe389d7c848190813be06bed7813d7 completed May 8, 2026, 7:25 p.m.
NEDg Description generation batch_69fe5bc7e6848190a243bcfccaea3a37 completed May 8, 2026, 9:55 p.m.
NED2 Entity disambiguation (via description) batch_69fe5c271c6c8190bb4127cdf8af6647 completed May 8, 2026, 9:56 p.m.
Created at: April 10, 2026, 1:51 a.m.