Triple

T12868084
Position Surface form Disambiguated ID Type / Status
Subject Mount Wangwu E307772 entity
Predicate nearCity P350 FINISHED
Object Jiyuan
Jiyuan is a county-level city in Henan Province, China, known for its proximity to the scenic and historically significant Mount Wangwu.
E1007695 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: Jiyuan | Statement: [Mount Wangwu, nearCity, Jiyuan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jiyuan
Context triple: [Mount Wangwu, nearCity, Jiyuan]
  • A. Jiyuan
    Jiyuan was a protected cruiser of the late 19th-century Beiyang Fleet of the Qing Dynasty, notable for its role in the First Sino-Japanese War.
  • B. Heqing
    Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • C. Jiongnai
    Jiongnai is a lesser-known Hmong-Mien language spoken by an ethnic minority community in southern China.
  • D. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • E. Jianyan
    Jianyan was the reign era name marking the early rule of Emperor Gaozong during the Southern Song dynasty in China.
  • 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: Jiyuan
Triple: [Mount Wangwu, nearCity, Jiyuan]
Generated description
Jiyuan is a county-level city in Henan Province, China, known for its proximity to the scenic and historically significant Mount Wangwu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jiyuan
Target entity description: Jiyuan is a county-level city in Henan Province, China, known for its proximity to the scenic and historically significant Mount Wangwu.
  • A. Jiyuan
    Jiyuan was a protected cruiser of the late 19th-century Beiyang Fleet of the Qing Dynasty, notable for its role in the First Sino-Japanese War.
  • B. Heqing
    Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • C. Jiongnai
    Jiongnai is a lesser-known Hmong-Mien language spoken by an ethnic minority community in southern China.
  • D. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • E. Jianyan
    Jianyan was the reign era name marking the early rule of Emperor Gaozong during the Southern Song dynasty in China.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708f510c8190b4c64dc340420e85 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb26eb08190912d0b44c345bf41 completed May 3, 2026, 12:49 a.m.
NEDg Description generation batch_69f69df1032881909255e506ddfd9c9f completed May 3, 2026, 12:59 a.m.
NED2 Entity disambiguation (via description) batch_69f69ea645a0819095edc112b9ed9bff completed May 3, 2026, 1:02 a.m.
Created at: April 9, 2026, 5:38 p.m.