Triple

T14124384
Position Surface form Disambiguated ID Type / Status
Subject Lüliang E339988 entity
Predicate hasAdministrativeDivision P747 FINISHED
Object Xiaoyi
Xiaoyi is a county-level city in Shanxi Province, China, administered by the prefecture-level city of Lüliang.
 E1082550 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: Xiaoyi | Statement: [Lüliang, hasAdministrativeDivision, Xiaoyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Xiaoyi
Context triple: [Lüliang, hasAdministrativeDivision, Xiaoyi]
  • A. Xiaoyeliu
    Xiaoyeliu is a coastal geological area in eastern Taiwan known for its striking wave-eroded rock formations and scenic seaside landscapes.
  • B. Zimei
    Zimei is the courtesy name of Du Fu, one of China's greatest Tang dynasty poets renowned for his profound historical and social verse.
  • C. Xiaobo
    Xiaobo is the given name of Liu Xiaobo, the Chinese literary critic, human rights activist, and Nobel Peace Prize laureate.
  • D. Xia
    Xia was the legendary first dynasty in traditional Chinese historiography, traditionally dated to the early Bronze Age and often regarded as the beginning of Chinese dynastic civilization.
  • E. Shaoqi
    Shaoqi is the given name of Liu Shaoqi, a prominent Chinese revolutionary leader and former President of the People’s Republic of 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: Xiaoyi
Triple: [Lüliang, hasAdministrativeDivision, Xiaoyi]
Generated description
Xiaoyi is a county-level city in Shanxi Province, China, administered by the prefecture-level city of Lüliang.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Xiaoyi
Target entity description: Xiaoyi is a county-level city in Shanxi Province, China, administered by the prefecture-level city of Lüliang.
  • A. Xiaoyeliu
    Xiaoyeliu is a coastal geological area in eastern Taiwan known for its striking wave-eroded rock formations and scenic seaside landscapes.
  • B. Zimei
    Zimei is the courtesy name of Du Fu, one of China's greatest Tang dynasty poets renowned for his profound historical and social verse.
  • C. Xiaobo
    Xiaobo is the given name of Liu Xiaobo, the Chinese literary critic, human rights activist, and Nobel Peace Prize laureate.
  • D. Xia
    Xia was the legendary first dynasty in traditional Chinese historiography, traditionally dated to the early Bronze Age and often regarded as the beginning of Chinese dynastic civilization.
  • E. Shaoqi
    Shaoqi is the given name of Liu Shaoqi, a prominent Chinese revolutionary leader and former President of the People’s Republic of 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6096976481909dc79066c5165a50 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf0a7a7c8190860d8ce47b5f0732 completed May 7, 2026, 6:50 p.m.
NEDg Description generation batch_69fce0dec2488190be9c24d3744e7243 completed May 7, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69fce206b0588190a0f4b24231d3c365 completed May 7, 2026, 7:03 p.m.
Created at: April 9, 2026, 10:22 p.m.