Triple

T1834696
Position Surface form Disambiguated ID Type / Status
Subject Xiaogan E41038 entity
Predicate romanization P2508 FINISHED
Object Xiàogǎn
Xiàogǎn is a prefecture-level city in central China’s Hubei province, known for its historical significance and proximity to Wuhan.
 E206626 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: Xiàogǎn | Statement: [Xiaogan, romanization, Xiàogǎn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Xiàogǎn
Context triple: [Xiaogan, romanization, Xiàogǎn]
  • A. Xiao Zisheng
    Xiao Zisheng was a Chinese educator, writer, and early associate of Mao Zedong who played a significant role in introducing Western ideas and promoting modern education in early 20th-century China.
  • B. Jia Huan Cheng
    Jia Huan Cheng is a Chinese architect best known for designing Shanghai’s iconic Oriental Pearl Tower.
  • C. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • D. Wu Tong
    Wu Tong is a Chinese musician and vocalist known for his mastery of traditional instruments like the sheng and for his collaborations in world and classical music projects.
  • E. Xue
    Xue is a Chinese surname borne by various notable historical and contemporary figures.
  • 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: Xiàogǎn
Triple: [Xiaogan, romanization, Xiàogǎn]
Generated description
Xiàogǎn is a prefecture-level city in central China’s Hubei province, known for its historical significance and proximity to Wuhan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Xiàogǎn
Target entity description: Xiàogǎn is a prefecture-level city in central China’s Hubei province, known for its historical significance and proximity to Wuhan.
  • A. Xiao Zisheng
    Xiao Zisheng was a Chinese educator, writer, and early associate of Mao Zedong who played a significant role in introducing Western ideas and promoting modern education in early 20th-century China.
  • B. Jia Huan Cheng
    Jia Huan Cheng is a Chinese architect best known for designing Shanghai’s iconic Oriental Pearl Tower.
  • C. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • D. Wu Tong
    Wu Tong is a Chinese musician and vocalist known for his mastery of traditional instruments like the sheng and for his collaborations in world and classical music projects.
  • E. Xue
    Xue is a Chinese surname borne by various notable historical and contemporary figures.
  • 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb026aa7c8190bc988d3ee0fd9f41 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9b4b4f08190a0e5ad50de5c0ba8 completed March 8, 2026, 7:10 p.m.
NEDg Description generation batch_69adcd9359b88190ad312ff0389ff1a6 completed March 8, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69adce11558c8190bd8c6341837eb792 completed March 8, 2026, 7:29 p.m.
Created at: March 4, 2026, 7:33 p.m.