Triple

T14567939
Position Surface form Disambiguated ID Type / Status
Subject Yangquan E341834 entity
Predicate hasChineseName P4878 FINISHED
Object 阳泉市
阳泉市是位于中国山西省中部、以煤炭工业和重工业为主的地级城市。
 E1105786 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: 阳泉市 | Statement: [Yangquan, hasChineseName, 阳泉市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 阳泉市
Context triple: [Yangquan, hasChineseName, 阳泉市]
  • A. Wolverhampton
    Wolverhampton is a large industrial city in England’s West Midlands, known historically for its role in the coal, steel, and manufacturing industries.
  • B. Kent Valley
    Kent Valley is a low-lying, historically agricultural and now heavily industrial and commercial floodplain region in King County, Washington, encompassing much of the city of Kent and surrounding areas.
  • C. Yate
    Yate is a town in South Gloucestershire, England, known as a residential and commercial centre north of Bristol.
  • D. Coventry
    Coventry is a town in central Rhode Island known for its suburban communities, historic villages, and extensive outdoor recreation areas.
  • E. Coventry
    Coventry is a historic city in England, best known for its medieval cathedral destroyed in World War II and its symbolic postwar reconciliation efforts.
  • 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: 阳泉市
Triple: [Yangquan, hasChineseName, 阳泉市]
Generated description
阳泉市是位于中国山西省中部、以煤炭工业和重工业为主的地级城市。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 阳泉市
Target entity description: 阳泉市是位于中国山西省中部、以煤炭工业和重工业为主的地级城市。
  • A. Wolverhampton
    Wolverhampton is a large industrial city in England’s West Midlands, known historically for its role in the coal, steel, and manufacturing industries.
  • B. Kent Valley
    Kent Valley is a low-lying, historically agricultural and now heavily industrial and commercial floodplain region in King County, Washington, encompassing much of the city of Kent and surrounding areas.
  • C. Yate
    Yate is a town in South Gloucestershire, England, known as a residential and commercial centre north of Bristol.
  • D. Coventry
    Coventry is a town in central Rhode Island known for its suburban communities, historic villages, and extensive outdoor recreation areas.
  • E. Coventry
    Coventry is a historic city in England, best known for its medieval cathedral destroyed in World War II and its symbolic postwar reconciliation efforts.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb38d89fc819086709fd3607b835f completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ac669cc819083e05620b1e8c370 completed May 8, 2026, 7:03 a.m.
NEDg Description generation batch_69fd8c5b09448190ad084746a6dd23f5 completed May 8, 2026, 7:10 a.m.
NED2 Entity disambiguation (via description) batch_69fd8d61f1f88190848c8f6095737897 completed May 8, 2026, 7:14 a.m.
Created at: April 10, 2026, 1:23 a.m.