Triple

T8969042
Position Surface form Disambiguated ID Type / Status
Subject Xinxiang E214214 entity
Predicate hasCountyLevelCity P27799 FINISHED
Object Huixian
Huixian is a county-level city administered by Xinxiang in Henan Province, China, known for its mix of urban development and surrounding rural landscapes.
 E769664 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: Huixian | Statement: [Xinxiang, hasCountyLevelCity, Huixian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Huixian
Context triple: [Xinxiang, hasCountyLevelCity, Huixian]
  • A. Huizheng
    Huizheng was the father of Empress Dowager Cixi, the powerful de facto ruler of late Qing dynasty China.
  • B. Hongxi
    Hongxi was the brief era name of a Ming dynasty emperor whose short reign marked a transitional period in early 15th-century China.
  • C. Hanchuan
    Hanchuan is a county-level city in central China's Hubei Province, known for its location within the fertile Jianghan Plain and its role in regional agriculture and industry.
  • D. 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.
  • E. Huaxiang
    Huaxiang is a subdistrict-level area within Beijing’s Fengtai District, known primarily as a residential and urban community zone.
  • 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: Huixian
Triple: [Xinxiang, hasCountyLevelCity, Huixian]
Generated description
Huixian is a county-level city administered by Xinxiang in Henan Province, China, known for its mix of urban development and surrounding rural landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Huixian
Target entity description: Huixian is a county-level city administered by Xinxiang in Henan Province, China, known for its mix of urban development and surrounding rural landscapes.
  • A. Huizheng
    Huizheng was the father of Empress Dowager Cixi, the powerful de facto ruler of late Qing dynasty China.
  • B. Hongxi
    Hongxi was the brief era name of a Ming dynasty emperor whose short reign marked a transitional period in early 15th-century China.
  • C. Hanchuan
    Hanchuan is a county-level city in central China's Hubei Province, known for its location within the fertile Jianghan Plain and its role in regional agriculture and industry.
  • D. 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.
  • E. Huaxiang
    Huaxiang is a subdistrict-level area within Beijing’s Fengtai District, known primarily as a residential and urban community zone.
  • 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_69ca839dbf608190a2f5990477115d29 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6765babc8190a4a3b79aa21047c8 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc95cbc4c8190a3ac582f735eeb35 completed April 3, 2026, 2:06 p.m.
NEDg Description generation batch_69cfca41aed08190a5107597625e4b61 completed April 3, 2026, 2:10 p.m.
NED2 Entity disambiguation (via description) batch_69cfcaba165081908c7bbfb905356942 completed April 3, 2026, 2:12 p.m.
Created at: March 30, 2026, 7:01 p.m.