Triple

T18451515
Position Surface form Disambiguated ID Type / Status
Subject Changle E450792 entity
Predicate hasChineseName P4878 FINISHED
Object 昌乐
昌乐是中国山东省潍坊市下辖的一个县级行政区，以农业和宝石矿产资源（尤其是蓝宝石）而闻名。
 E1325822 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: 昌乐 | Statement: [Changle, hasChineseName, 昌乐]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 昌乐
Context triple: [Changle, hasChineseName, 昌乐]
  • A. Leland, North Carolina
    Leland, North Carolina is a rapidly growing suburban town near Wilmington known for its residential communities and role as a commercial hub in Brunswick County.
  • B. Kenly, North Carolina
    Kenly, North Carolina is a small rural town in eastern North Carolina known for its agricultural surroundings and location near major transportation routes like Interstate 95.
  • C. Leicester, North Carolina
    Leicester, North Carolina is a rural unincorporated community in western North Carolina, located just northwest of Asheville in the Blue Ridge Mountains.
  • D. Elkin, North Carolina
    Elkin, North Carolina is a small town in the foothills of the Blue Ridge Mountains known for its historic downtown, wineries, and outdoor recreation opportunities.
  • E. Kenly
    Kenly is a small town in North Carolina known for its rural character and location along major transportation routes.
  • 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: 昌乐
Triple: [Changle, hasChineseName, 昌乐]
Generated description
昌乐是中国山东省潍坊市下辖的一个县级行政区，以农业和宝石矿产资源（尤其是蓝宝石）而闻名。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 昌乐
Target entity description: 昌乐是中国山东省潍坊市下辖的一个县级行政区，以农业和宝石矿产资源（尤其是蓝宝石）而闻名。
  • A. Leland, North Carolina
    Leland, North Carolina is a rapidly growing suburban town near Wilmington known for its residential communities and role as a commercial hub in Brunswick County.
  • B. Kenly, North Carolina
    Kenly, North Carolina is a small rural town in eastern North Carolina known for its agricultural surroundings and location near major transportation routes like Interstate 95.
  • C. Leicester, North Carolina
    Leicester, North Carolina is a rural unincorporated community in western North Carolina, located just northwest of Asheville in the Blue Ridge Mountains.
  • D. Elkin, North Carolina
    Elkin, North Carolina is a small town in the foothills of the Blue Ridge Mountains known for its historic downtown, wineries, and outdoor recreation opportunities.
  • E. Kenly
    Kenly is a small town in North Carolina known for its rural character and location along major transportation routes.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52648476c8190a5d8c3297d836f62 completed April 19, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a040fe5eb1081909ecdf53f4b6b9370 completed May 13, 2026, 5:45 a.m.
NEDg Description generation batch_6a043a81cd58819089df50804870952e completed May 13, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_6a043c0580048190afd9fe46e6863918 completed May 13, 2026, 8:53 a.m.
Created at: April 10, 2026, 11:31 a.m.