Triple

T15913594
Position Surface form Disambiguated ID Type / Status
Subject Salzwedel E385908 entity
Predicate hasTwinTown P919 FINISHED
Object Cixi
Cixi is a county-level city in Zhejiang Province, eastern China, known as an important manufacturing and export hub within the Yangtze River Delta region.
E1182640 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: Cixi | Statement: [Salzwedel, hasTwinTown, Cixi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cixi
Context triple: [Salzwedel, hasTwinTown, Cixi]
  • A. Chongning
    Chongning was a Chinese imperial era name used during the reign of Emperor Huizong of the Song dynasty.
  • B. Yinzhen
    Yinzhen was the personal name of the Yongzheng Emperor, the fifth emperor of China’s Qing dynasty known for his administrative reforms and centralization of power.
  • C. Xi Anping
    Xi Anping is a member of the extended family of Chinese leader Xi Jinping and is known primarily for this familial connection.
  • D. Yuanding
    Yuanding was a regnal era of Emperor Wu of the Western Han dynasty in ancient China, used to designate a specific period of his reign.
  • E. Yixian
    Yixian is a historic county-level city in China’s Anhui province, noted for its well-preserved ancient villages and traditional Huizhou architecture.
  • 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: Cixi
Triple: [Salzwedel, hasTwinTown, Cixi]
Generated description
Cixi is a county-level city in Zhejiang Province, eastern China, known as an important manufacturing and export hub within the Yangtze River Delta region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cixi
Target entity description: Cixi is a county-level city in Zhejiang Province, eastern China, known as an important manufacturing and export hub within the Yangtze River Delta region.
  • A. Chongning
    Chongning was a Chinese imperial era name used during the reign of Emperor Huizong of the Song dynasty.
  • B. Yinzhen
    Yinzhen was the personal name of the Yongzheng Emperor, the fifth emperor of China’s Qing dynasty known for his administrative reforms and centralization of power.
  • C. Xi Anping
    Xi Anping is a member of the extended family of Chinese leader Xi Jinping and is known primarily for this familial connection.
  • D. Yuanding
    Yuanding was a regnal era of Emperor Wu of the Western Han dynasty in ancient China, used to designate a specific period of his reign.
  • E. Yixian
    Yixian is a historic county-level city in China’s Anhui province, noted for its well-preserved ancient villages and traditional Huizhou architecture.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15661046c819097a53de2a3e0443b completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb0592b5c8190a4597644864a6bcb completed May 9, 2026, 10:08 p.m.
NEDg Description generation batch_69ffb0ef7f3081908744a759bb3e4e8c completed May 9, 2026, 10:10 p.m.
NED2 Entity disambiguation (via description) batch_69ffb1dbd7d08190b84ae201e0866139 completed May 9, 2026, 10:14 p.m.
Created at: April 10, 2026, 4:52 a.m.