Triple

T1592670
Position Surface form Disambiguated ID Type / Status
Subject Han Chinese E34209 entity
Predicate traditionalClothing P271 FINISHED
Object changshan
Changshan is a traditional long male robe from China, historically worn by Han Chinese men for formal and ceremonial occasions.
 E181417 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: changshan | Statement: [Han Chinese, traditionalClothing, changshan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: changshan
Context triple: [Han Chinese, traditionalClothing, changshan]
  • A. Changling
    Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
  • B. Xinjing
    Xinjing was the capital city of the Japanese puppet state of Manchukuo in northeastern China during the 1930s and early 1940s.
  • C. Xijing
    Xijing is the historical name of Xi'an, one of China’s oldest and most important ancient capitals.
  • D. Zijincheng
    Zijincheng is the Chinese name for the Forbidden City, the vast imperial palace complex in central Beijing that served as the home of emperors and the political heart of China for nearly five centuries.
  • E. Shëngjin
    Shëngjin is a coastal town and port in northwestern Albania on the Adriatic Sea, historically significant for its strategic maritime position.
  • 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: changshan
Triple: [Han Chinese, traditionalClothing, changshan]
Generated description
Changshan is a traditional long male robe from China, historically worn by Han Chinese men for formal and ceremonial occasions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: changshan
Target entity description: Changshan is a traditional long male robe from China, historically worn by Han Chinese men for formal and ceremonial occasions.
  • A. Changling
    Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
  • B. Xinjing
    Xinjing was the capital city of the Japanese puppet state of Manchukuo in northeastern China during the 1930s and early 1940s.
  • C. Xijing
    Xijing is the historical name of Xi'an, one of China’s oldest and most important ancient capitals.
  • D. Zijincheng
    Zijincheng is the Chinese name for the Forbidden City, the vast imperial palace complex in central Beijing that served as the home of emperors and the political heart of China for nearly five centuries.
  • E. Shëngjin
    Shëngjin is a coastal town and port in northwestern Albania on the Adriatic Sea, historically significant for its strategic maritime position.
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90929b32c8190be1a4b2d7b685735 completed March 5, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad46a357d48190aa4151967ce6a947 completed March 8, 2026, 9:51 a.m.
NEDg Description generation batch_69ad4941fcb08190adfba998bdadd3ef completed March 8, 2026, 10:02 a.m.
NED2 Entity disambiguation (via description) batch_69ad4a05981881908a16c126254c2050 completed March 8, 2026, 10:05 a.m.
Created at: March 4, 2026, 7:27 p.m.