Triple

T7840900
Position Surface form Disambiguated ID Type / Status
Subject Zhangjiajie E181799 entity
Predicate formerName P65 FINISHED
Object Dayong
Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
E701935 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: Dayong | Statement: [Zhangjiajie, formerName, Dayong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dayong
Context triple: [Zhangjiajie, formerName, Dayong]
  • A. Yaobang
    Yaobang is a Chinese given name most notably borne by Hu Yaobang, a reformist leader of the Chinese Communist Party in the 1980s.
  • B. Bingchang
    Bingchang is a Chinese given name, notably borne by diplomat and politician Fu Bingchang.
  • C. Yongcong
    Yongcong was a Qing dynasty imperial prince, one of the sons of the Qianlong Emperor of China.
  • D. Dunhua
    Dunhua is a county-level city in northeastern China's Jilin Province, known for its location within the Yanbian Korean Autonomous Prefecture and its mix of Han and Korean cultural influences.
  • E. Deyu
    Deyu is the courtesy name of the Hongguang Emperor, a short-lived Southern Ming ruler who attempted to restore the Ming dynasty after the fall of Beijing to the Qing.
  • 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: Dayong
Triple: [Zhangjiajie, formerName, Dayong]
Generated description
Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dayong
Target entity description: Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
  • A. Yaobang
    Yaobang is a Chinese given name most notably borne by Hu Yaobang, a reformist leader of the Chinese Communist Party in the 1980s.
  • B. Bingchang
    Bingchang is a Chinese given name, notably borne by diplomat and politician Fu Bingchang.
  • C. Yongcong
    Yongcong was a Qing dynasty imperial prince, one of the sons of the Qianlong Emperor of China.
  • D. Dunhua
    Dunhua is a county-level city in northeastern China's Jilin Province, known for its location within the Yanbian Korean Autonomous Prefecture and its mix of Han and Korean cultural influences.
  • E. Deyu
    Deyu is the courtesy name of the Hongguang Emperor, a short-lived Southern Ming ruler who attempted to restore the Ming dynasty after the fall of Beijing to the Qing.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb14c589748190b34d0911d373e194 completed March 31, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdf0394348190b5928ffb9e3df45e completed March 31, 2026, 2:49 p.m.
NEDg Description generation batch_69cbe436e20481908b297cd94eafbeec completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc0c32aac081909cdd0d69cacdd27f completed March 31, 2026, 6:02 p.m.
Created at: March 30, 2026, 4:47 p.m.