Triple

T8969048
Position Surface form Disambiguated ID Type / Status
Subject Xinxiang E214214 entity
Predicate hasCounty P285 FINISHED
Object Weihui
Weihui is a county-level city in northern Henan Province, China, administered by the prefecture-level city of Xinxiang.
 E771201 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: Weihui | Statement: [Xinxiang, hasCounty, Weihui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Weihui
Context triple: [Xinxiang, hasCounty, Weihui]
  • A. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • B. Heqing
    Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • C. Yuanhong
    Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
  • D. Qinghe
    Qinghe is a subdistrict in Beijing’s Haidian District, known primarily as a residential and administrative area within the city’s northwestern urban zone.
  • E. Yuxiang
    Yuxiang is a Chinese given name notably borne by the early 20th-century warlord and military leader Feng Yuxiang.
  • 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: Weihui
Triple: [Xinxiang, hasCounty, Weihui]
Generated description
Weihui is a county-level city in northern Henan Province, China, administered by the prefecture-level city of Xinxiang.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Weihui
Target entity description: Weihui is a county-level city in northern Henan Province, China, administered by the prefecture-level city of Xinxiang.
  • A. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • B. Heqing
    Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • C. Yuanhong
    Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
  • D. Qinghe
    Qinghe is a subdistrict in Beijing’s Haidian District, known primarily as a residential and administrative area within the city’s northwestern urban zone.
  • E. Yuxiang
    Yuxiang is a Chinese given name notably borne by the early 20th-century warlord and military leader Feng Yuxiang.
  • 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_69cfd0aba020819088bc6d7a461bbcdb completed April 3, 2026, 2:37 p.m.
NEDg Description generation batch_69cfd15c82208190adc11bc6ab1b959b completed April 3, 2026, 2:40 p.m.
NED2 Entity disambiguation (via description) batch_69cfd1eb7f588190a7b7a4ccb48a51d9 completed April 3, 2026, 2:42 p.m.
Created at: March 30, 2026, 7:01 p.m.