Triple

T5925531
Position Surface form Disambiguated ID Type / Status
Subject Kaifeng E131801 entity
Predicate historicalName P65 FINISHED
Object Dongjing
Dongjing is the historical name for Kaifeng when it served as the capital of the Northern Song dynasty in China.
 E559814 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: Dongjing | Statement: [Kaifeng, historicalName, Dongjing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dongjing
Context triple: [Kaifeng, historicalName, Dongjing]
  • A. Qujing
    Qujing is a major prefecture-level city in eastern Yunnan Province, China, known as an important regional transportation and industrial hub.
  • B. Da Yuan
    Da Yuan is the official Chinese name for the Yuan dynasty, the Mongol-ruled imperial dynasty that governed China from the late 13th to the mid-14th century.
  • C. Jianye
    Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • D. Xitang
    Xitang is an ancient water town in eastern China renowned for its well-preserved canals, stone bridges, and traditional architecture.
  • E. Guandu
    Guandu is a district in northern Taipei, Taiwan, known for its riverside wetlands, hot springs, and the historic Guandu Temple.
  • 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: Dongjing
Triple: [Kaifeng, historicalName, Dongjing]
Generated description
Dongjing is the historical name for Kaifeng when it served as the capital of the Northern Song dynasty in China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dongjing
Target entity description: Dongjing is the historical name for Kaifeng when it served as the capital of the Northern Song dynasty in China.
  • A. Qujing
    Qujing is a major prefecture-level city in eastern Yunnan Province, China, known as an important regional transportation and industrial hub.
  • B. Da Yuan
    Da Yuan is the official Chinese name for the Yuan dynasty, the Mongol-ruled imperial dynasty that governed China from the late 13th to the mid-14th century.
  • C. Jianye
    Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • D. Xitang
    Xitang is an ancient water town in eastern China renowned for its well-preserved canals, stone bridges, and traditional architecture.
  • E. Guandu
    Guandu is a district in northern Taipei, Taiwan, known for its riverside wetlands, hot springs, and the historic Guandu Temple.
  • 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_69c0085b75e88190a632f9691f9da48b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03852806c81908ba726c16adf3358 completed March 22, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3a9b6348190909e14e095e2eea0 completed March 23, 2026, 6:54 a.m.
NEDg Description generation batch_69c0f14baca88190a1cd552b73420cce completed March 23, 2026, 7:52 a.m.
NED2 Entity disambiguation (via description) batch_69c0f1f04af08190b0cd28811ef37cfe completed March 23, 2026, 7:55 a.m.
Created at: March 22, 2026, 4 p.m.