Triple

T16513580
Position Surface form Disambiguated ID Type / Status
Subject 六安 E401123 entity
Predicate hasSubdivision P747 FINISHED
Object 金安区
金安区是安徽省六安市下辖的一个市辖区，位于市区北部，是当地重要的政治、经济和文化中心之一。
 E1218406 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: 金安区 | Statement: [六安, hasSubdivision, 金安区]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 金安区
Context triple: [六安, hasSubdivision, 金安区]
  • A. 六安
    六安 is a prefecture-level city in western Anhui Province, China, known for its rich history and famous Lu'an Melon Seed tea.
  • B. Huangshan District
    Huangshan District is an administrative district in Anhui Province, China, encompassing part of the scenic Huangshan (Yellow Mountain) area and serving as a key local center for tourism and services.
  • C. Fuyang District
    Fuyang District is an administrative district of Hangzhou in Zhejiang Province, China, known for its scenic landscapes and growing urban development along the Fuchun River.
  • D. Hefei High-tech Industrial Development Zone
    Hefei High-tech Industrial Development Zone is a major national-level high-tech industrial park in Hefei, China, focused on technology innovation, advanced manufacturing, and attracting high-tech enterprises.
  • E. 马鞍山
    马鞍山是位于中国安徽省东部、长江沿岸的一座以钢铁工业和山水景观著称的地级市。
  • 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: 金安区
Triple: [六安, hasSubdivision, 金安区]
Generated description
金安区是安徽省六安市下辖的一个市辖区，位于市区北部，是当地重要的政治、经济和文化中心之一。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 金安区
Target entity description: 金安区是安徽省六安市下辖的一个市辖区，位于市区北部，是当地重要的政治、经济和文化中心之一。
  • A. 六安
    六安 is a prefecture-level city in western Anhui Province, China, known for its rich history and famous Lu'an Melon Seed tea.
  • B. Huangshan District
    Huangshan District is an administrative district in Anhui Province, China, encompassing part of the scenic Huangshan (Yellow Mountain) area and serving as a key local center for tourism and services.
  • C. Fuyang District
    Fuyang District is an administrative district of Hangzhou in Zhejiang Province, China, known for its scenic landscapes and growing urban development along the Fuchun River.
  • D. Hefei High-tech Industrial Development Zone
    Hefei High-tech Industrial Development Zone is a major national-level high-tech industrial park in Hefei, China, focused on technology innovation, advanced manufacturing, and attracting high-tech enterprises.
  • E. 马鞍山
    马鞍山是位于中国安徽省东部、长江沿岸的一座以钢铁工业和山水景观著称的地级市。
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e78d4848190a55de9902115b1b2 completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0060827d988190b2c0c075a49dfde8 completed May 10, 2026, 10:40 a.m.
NEDg Description generation batch_6a006133a9148190af5bc0cec8ad6695 completed May 10, 2026, 10:42 a.m.
NED2 Entity disambiguation (via description) batch_6a0061c85d5481909628c2fddbcf0d54 completed May 10, 2026, 10:45 a.m.
Created at: April 10, 2026, 5:14 a.m.