Triple

T1690082
Position Surface form Disambiguated ID Type / Status
Subject Qing dynasty E36530 entity
Predicate legalSystem P605 FINISHED
Object Qing Code
Qing Code was the comprehensive legal code of imperial China under the Qing dynasty, codifying criminal, civil, and administrative laws that governed the empire.
 E190913 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: Qing Code | Statement: [Qing dynasty, legalSystem, Qing Code]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Qing Code
Context triple: [Qing dynasty, legalSystem, Qing Code]
  • A. Yingqin
    Yingqin is the given name of He Yingqin, a prominent Chinese Nationalist military leader and politician of the early 20th century.
  • B. Jing
    Jing is a common Chinese surname shared by various notable figures across fields such as entertainment, sports, and academia.
  • C. Tien Quan Ca
    Tien Quan Ca is a Vietnamese patriotic song composed by Văn Cao that later became the national anthem of Vietnam.
  • D. Jia Huan Cheng
    Jia Huan Cheng is a Chinese architect best known for designing Shanghai’s iconic Oriental Pearl Tower.
  • E. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • 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: Qing Code
Triple: [Qing dynasty, legalSystem, Qing Code]
Generated description
Qing Code was the comprehensive legal code of imperial China under the Qing dynasty, codifying criminal, civil, and administrative laws that governed the empire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Qing Code
Target entity description: Qing Code was the comprehensive legal code of imperial China under the Qing dynasty, codifying criminal, civil, and administrative laws that governed the empire.
  • A. Yingqin
    Yingqin is the given name of He Yingqin, a prominent Chinese Nationalist military leader and politician of the early 20th century.
  • B. Jing
    Jing is a common Chinese surname shared by various notable figures across fields such as entertainment, sports, and academia.
  • C. Tien Quan Ca
    Tien Quan Ca is a Vietnamese patriotic song composed by Văn Cao that later became the national anthem of Vietnam.
  • D. Jia Huan Cheng
    Jia Huan Cheng is a Chinese architect best known for designing Shanghai’s iconic Oriental Pearl Tower.
  • E. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • 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_69a886151508819084fa7f1ce6e05577 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62979da48190a64a04bf352182e0 completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad79947c908190b807205bd44c3254 completed March 8, 2026, 1:28 p.m.
NEDg Description generation batch_69ad7a1223fc8190b7d62217c17f7517 completed March 8, 2026, 1:30 p.m.
NED2 Entity disambiguation (via description) batch_69ad7b0787c88190a59a815fa808ac6b completed March 8, 2026, 1:35 p.m.
Created at: March 4, 2026, 7:29 p.m.