Triple

T1851148
Position Surface form Disambiguated ID Type / Status
Subject Huanggang E41595 entity
Predicate borders P224 FINISHED
Object Lu'an
Lu'an is a prefecture-level city in western Anhui Province, China, known for its mountainous terrain and tea production.
 E294940 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: Lu'an | Statement: [Huanggang, borders, Lu'an]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lu'an
Context triple: [Huanggang, borders, Lu'an]
  • A. Bengbu
    Bengbu is a mid-sized industrial and transportation hub city in eastern China, located in the northern part of Anhui province along the Huai River.
  • B. Putian
    Putian is a coastal prefecture-level city in southeastern China known for its manufacturing industries, especially footwear, and its historical and cultural heritage within Fujian province.
  • C. Xuancheng
    Xuancheng is a county-level city in southeastern Anhui Province, China, known for its historical heritage and traditional Chinese ink production.
  • D. Tongling
    Tongling is a prefecture-level city in eastern China known for its rich copper resources and mining industry.
  • E. Xiantao
    Xiantao is a county-level city in central China’s Hubei province, known for its location on the Jianghan Plain and its role as a regional agricultural and industrial center.
  • 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: Lu'an
Triple: [Huanggang, borders, Lu'an]
Generated description
Lu'an is a prefecture-level city in western Anhui Province, China, known for its mountainous terrain and tea production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lu'an
Target entity description: Lu'an is a prefecture-level city in western Anhui Province, China, known for its mountainous terrain and tea production.
  • A. Bengbu
    Bengbu is a mid-sized industrial and transportation hub city in eastern China, located in the northern part of Anhui province along the Huai River.
  • B. Putian
    Putian is a coastal prefecture-level city in southeastern China known for its manufacturing industries, especially footwear, and its historical and cultural heritage within Fujian province.
  • C. Xuancheng
    Xuancheng is a county-level city in southeastern Anhui Province, China, known for its historical heritage and traditional Chinese ink production.
  • D. Tongling
    Tongling is a prefecture-level city in eastern China known for its rich copper resources and mining industry.
  • E. Xiantao
    Xiantao is a county-level city in central China’s Hubei province, known for its location on the Jianghan Plain and its role as a regional agricultural and industrial center.
  • 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb06829b081908767b3df5524c7d4 completed March 7, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbba693f08190aead3b593f081c62 completed March 10, 2026, 6:35 a.m.
NEDg Description generation batch_69afbc67c39c8190b5932c0e23595f64 completed March 10, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_69afbd2d8a2c8190896a9154ebbd8bab completed March 10, 2026, 6:41 a.m.
Created at: March 4, 2026, 7:33 p.m.