Triple

T8052508
Position Surface form Disambiguated ID Type / Status
Subject Xu Guangqi E187708 entity
Predicate givenName P17 FINISHED
Object Guangqi
Guangqi is the given name of Xu Guangqi, a prominent Ming dynasty scholar-official, scientist, and collaborator with Jesuit missionaries in introducing Western science to China.
 E715026 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: Guangqi | Statement: [Xu Guangqi, givenName, Guangqi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Guangqi
Context triple: [Xu Guangqi, givenName, Guangqi]
  • A. Guangjia
    Guangjia was a warship of China’s late 19th-century Beiyang Fleet, one of the Qing dynasty’s principal modern naval forces.
  • B. Guang
    Guang is the given name of Sima Guang, a renowned Song dynasty historian, scholar, and high-ranking official in imperial China.
  • C. Guangyi
    Guangyi was a warship that served in China's late 19th-century Beiyang Fleet, one of the Qing dynasty's principal modern naval forces.
  • D. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • E. Heqing
    Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • 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: Guangqi
Triple: [Xu Guangqi, givenName, Guangqi]
Generated description
Guangqi is the given name of Xu Guangqi, a prominent Ming dynasty scholar-official, scientist, and collaborator with Jesuit missionaries in introducing Western science to China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Guangqi
Target entity description: Guangqi is the given name of Xu Guangqi, a prominent Ming dynasty scholar-official, scientist, and collaborator with Jesuit missionaries in introducing Western science to China.
  • A. Guangjia
    Guangjia was a warship of China’s late 19th-century Beiyang Fleet, one of the Qing dynasty’s principal modern naval forces.
  • B. Guang
    Guang is the given name of Sima Guang, a renowned Song dynasty historian, scholar, and high-ranking official in imperial China.
  • C. Guangyi
    Guangyi was a warship that served in China's late 19th-century Beiyang Fleet, one of the Qing dynasty's principal modern naval forces.
  • D. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • E. Heqing
    Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • 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_69ca82b15e948190a62fd7af5218426a completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f7c425c8190aa1b2f534afeb58c completed March 31, 2026, 3:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe5c1850819097f82cfa7f582e8d completed April 1, 2026, 6:42 a.m.
NEDg Description generation batch_69ccc24a39f88190995f076d1a7ec3e7 completed April 1, 2026, 6:59 a.m.
NED2 Entity disambiguation (via description) batch_69ccc37f0ca88190b4e077f23dbbe6f8 completed April 1, 2026, 7:04 a.m.
Created at: March 30, 2026, 5:24 p.m.