Triple

T6400432
Position Surface form Disambiguated ID Type / Status
Subject Taitung County E144047 entity
Predicate contains P35 FINISHED
Object Xiaoyeliu
Xiaoyeliu is a coastal geological area in eastern Taiwan known for its striking wave-eroded rock formations and scenic seaside landscapes.
 E591135 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: Xiaoyeliu | Statement: [Taitung County, contains, Xiaoyeliu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Xiaoyeliu
Context triple: [Taitung County, contains, Xiaoyeliu]
  • A. Xiaozong
    Xiaozong is the temple name of the Hongzhi Emperor, a Ming dynasty ruler noted for his relatively peaceful and reform-minded reign in late 15th-century China.
  • B. Xiaobo
    Xiaobo is the given name of Liu Xiaobo, the Chinese literary critic, human rights activist, and Nobel Peace Prize laureate.
  • C. Liù
    Liù is a gentle, self-sacrificing slave girl in Puccini’s opera "Turandot," known for her unwavering love and tragic death.
  • D. Xiao Ke
    Xiao Ke was a prominent Chinese military leader and general of the People’s Liberation Army who played key roles in the Chinese Civil War and early PRC military development.
  • E. Xiao Hua
    Xiao Hua is best known as the former wife of acclaimed Chinese film director Zhang Yimou.
  • 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: Xiaoyeliu
Triple: [Taitung County, contains, Xiaoyeliu]
Generated description
Xiaoyeliu is a coastal geological area in eastern Taiwan known for its striking wave-eroded rock formations and scenic seaside landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Xiaoyeliu
Target entity description: Xiaoyeliu is a coastal geological area in eastern Taiwan known for its striking wave-eroded rock formations and scenic seaside landscapes.
  • A. Xiaozong
    Xiaozong is the temple name of the Hongzhi Emperor, a Ming dynasty ruler noted for his relatively peaceful and reform-minded reign in late 15th-century China.
  • B. Xiaobo
    Xiaobo is the given name of Liu Xiaobo, the Chinese literary critic, human rights activist, and Nobel Peace Prize laureate.
  • C. Liù
    Liù is a gentle, self-sacrificing slave girl in Puccini’s opera "Turandot," known for her unwavering love and tragic death.
  • D. Xiao Ke
    Xiao Ke was a prominent Chinese military leader and general of the People’s Liberation Army who played key roles in the Chinese Civil War and early PRC military development.
  • E. Xiao Hua
    Xiao Hua is best known as the former wife of acclaimed Chinese film director Zhang Yimou.
  • 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_69c008dc56fc81908d43ffcc11d73bdd completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0689ae99881909ba427769fd317ae completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6389fe9608190adc68f3ad5b0471a completed March 27, 2026, 7:58 a.m.
NEDg Description generation batch_69c63a17cf44819099401c8f95af7061 completed March 27, 2026, 8:04 a.m.
NED2 Entity disambiguation (via description) batch_69c63a79df9c819088b222a73e763e82 completed March 27, 2026, 8:06 a.m.
Created at: March 22, 2026, 4:35 p.m.