Triple

T15617004
Position Surface form Disambiguated ID Type / Status
Subject Niujie Subdistrict E375440 entity
Predicate hasStreetName P959 FINISHED
Object Niujie
Niujie is a historic street in Beijing known as the cultural and commercial center of the city's Muslim (Hui) community.
 E1166018 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: Niujie | Statement: [Niujie Subdistrict, hasStreetName, Niujie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Niujie
Context triple: [Niujie Subdistrict, hasStreetName, Niujie]
  • A. Jinqiao
    Jinqiao is a subdistrict in Shanghai’s Pudong New Area known for its residential communities and growing commercial and industrial zones.
  • B. Liejun
    Liejun is a Chinese given name that can be borne by various individuals, including historical and contemporary figures.
  • C. Xinzhu
    Xinzhu is a city that serves as a sister city to Bielefeld, Germany, and is likely a regional urban center with cultural and economic significance.
  • D. Nánníng
    Nánníng is the capital and largest city of China’s Guangxi Zhuang Autonomous Region, known as a major economic hub and “Green City” for its abundant subtropical vegetation.
  • E. Jianning
    Jianning was an era name used during the reign of Emperor Ling of the Eastern Han dynasty in ancient China.
  • 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: Niujie
Triple: [Niujie Subdistrict, hasStreetName, Niujie]
Generated description
Niujie is a historic street in Beijing known as the cultural and commercial center of the city's Muslim (Hui) community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Niujie
Target entity description: Niujie is a historic street in Beijing known as the cultural and commercial center of the city's Muslim (Hui) community.
  • A. Jinqiao
    Jinqiao is a subdistrict in Shanghai’s Pudong New Area known for its residential communities and growing commercial and industrial zones.
  • B. Liejun
    Liejun is a Chinese given name that can be borne by various individuals, including historical and contemporary figures.
  • C. Xinzhu
    Xinzhu is a city that serves as a sister city to Bielefeld, Germany, and is likely a regional urban center with cultural and economic significance.
  • D. Nánníng
    Nánníng is the capital and largest city of China’s Guangxi Zhuang Autonomous Region, known as a major economic hub and “Green City” for its abundant subtropical vegetation.
  • E. Jianning
    Jianning was an era name used during the reign of Emperor Ling of the Eastern Han dynasty in ancient China.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e980b748190b43c0b650bf1e629 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56dd1e4c819090bf3cd4425b39b7 completed May 9, 2026, 3:46 p.m.
NEDg Description generation batch_69ff577e0ed08190a8f10f9e57c0e967 completed May 9, 2026, 3:49 p.m.
NED2 Entity disambiguation (via description) batch_69ff584b7b28819096fd2fad58ca32d6 completed May 9, 2026, 3:52 p.m.
Created at: April 10, 2026, 4:13 a.m.