Triple

T1054879
Position Surface form Disambiguated ID Type / Status
Subject Xinjiang E22779 entity
Predicate capital P234 FINISHED
Object Ürümqi
Ürümqi is a major city in northwestern China that serves as the political, economic, and cultural center of the Xinjiang Uyghur Autonomous Region.
 E138505 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: Ürümqi | Statement: [Xinjiang, capital, Ürümqi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ürümqi
Context triple: [Xinjiang, capital, Ürümqi]
  • A. Karaganda
    Karaganda is a large industrial city in central Kazakhstan known for its coal mining industry and Soviet-era history.
  • B. Namangan
    Namangan is a major city in eastern Uzbekistan, known as an important cultural and economic center in the Fergana Valley.
  • C. Shymkent
    Shymkent is one of the largest and most populous cities in southern Kazakhstan, serving as a key industrial, commercial, and cultural center of the region.
  • D. Andijan
    Andijan is a historic city in eastern Uzbekistan, known as a major cultural and economic center of the Fergana Valley and as the birthplace of the Mughal emperor Babur.
  • E. Khiva
    Khiva is an ancient oasis city in western Uzbekistan renowned for its well-preserved walled old town, Itchan Kala, a UNESCO World Heritage Site.
  • 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: Ürümqi
Triple: [Xinjiang, capital, Ürümqi]
Generated description
Ürümqi is a major city in northwestern China that serves as the political, economic, and cultural center of the Xinjiang Uyghur Autonomous Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ürümqi
Target entity description: Ürümqi is a major city in northwestern China that serves as the political, economic, and cultural center of the Xinjiang Uyghur Autonomous Region.
  • A. Karaganda
    Karaganda is a large industrial city in central Kazakhstan known for its coal mining industry and Soviet-era history.
  • B. Namangan
    Namangan is a major city in eastern Uzbekistan, known as an important cultural and economic center in the Fergana Valley.
  • C. Shymkent
    Shymkent is one of the largest and most populous cities in southern Kazakhstan, serving as a key industrial, commercial, and cultural center of the region.
  • D. Andijan
    Andijan is a historic city in eastern Uzbekistan, known as a major cultural and economic center of the Fergana Valley and as the birthplace of the Mughal emperor Babur.
  • E. Khiva
    Khiva is an ancient oasis city in western Uzbekistan renowned for its well-preserved walled old town, Itchan Kala, a UNESCO World Heritage Site.
  • 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8d79268819080f3f3f497e91c58 completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f2b76308190a843ccad1ef95f07 completed March 7, 2026, 7:40 p.m.
NEDg Description generation batch_69ac7fba00f0819086a0fffa090c5809 completed March 7, 2026, 7:42 p.m.
NED2 Entity disambiguation (via description) batch_69ac807ead9c819088f7195aec87a538 completed March 7, 2026, 7:46 p.m.
Created at: March 1, 2026, 7:42 p.m.