Triple

T10174314
Position Surface form Disambiguated ID Type / Status
Subject Emperor Xizong of Tang E235811 entity
Predicate eraName P2938 FINISHED
Object Guangqi
Guangqi was the era name used during part of Emperor Xizong of the Tang dynasty’s reign in late ninth-century China.
 E846690 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: [Emperor Xizong of Tang, eraName, Guangqi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Guangqi
Context triple: [Emperor Xizong of Tang, eraName, Guangqi]
  • A. 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.
  • B. Guangjia
    Guangjia was a warship of China’s late 19th-century Beiyang Fleet, one of the Qing dynasty’s principal modern naval forces.
  • C. Guang
    Guang is the given name of Sima Guang, a renowned Song dynasty historian, scholar, and high-ranking official in imperial China.
  • D. 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.
  • E. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • 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: [Emperor Xizong of Tang, eraName, Guangqi]
Generated description
Guangqi was the era name used during part of Emperor Xizong of the Tang dynasty’s reign in late ninth-century China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Guangqi
Target entity description: Guangqi was the era name used during part of Emperor Xizong of the Tang dynasty’s reign in late ninth-century China.
  • A. 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.
  • B. Guangjia
    Guangjia was a warship of China’s late 19th-century Beiyang Fleet, one of the Qing dynasty’s principal modern naval forces.
  • C. Guang
    Guang is the given name of Sima Guang, a renowned Song dynasty historian, scholar, and high-ranking official in imperial China.
  • D. 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.
  • E. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdeca0dc508190916f2a1bbb288192 completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3178844c48190af952ac30a4d6d97 completed April 6, 2026, 2:16 a.m.
NEDg Description generation batch_69d318fbb3048190acdb28f18c5a215a completed April 6, 2026, 2:22 a.m.
NED2 Entity disambiguation (via description) batch_69d319687fac81909f8174ebfc84e737 completed April 6, 2026, 2:24 a.m.
Created at: March 30, 2026, 9:11 p.m.