Triple

T10131848
Position Surface form Disambiguated ID Type / Status
Subject Wanzhou District E226356 entity
Predicate formerName P65 FINISHED
Object Wanxian
Wanxian was the former name of what is now Wanzhou District, an important port and commercial center along the upper Yangtze River in Chongqing, China.
E848408 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: Wanxian | Statement: [Wanzhou District, formerName, Wanxian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wanxian
Context triple: [Wanzhou District, formerName, Wanxian]
  • A. Yuanxing
    Yuanxing was the era name used by Eastern Wu emperor Sun Hao during part of his tumultuous late Three Kingdoms–period reign in China.
  • B. 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.
  • C. Qiuxian County
    Qiuxian County is an administrative county under the jurisdiction of Handan City in Hebei Province, northern China.
  • D. Linxiang
    Linxiang is a county-level city administered by Yueyang in Hunan Province, China, known for its location near the Yangtze River and its regional agricultural and industrial activities.
  • E. Xianning
    Xianning is a prefecture-level city in southeastern Hubei Province, China, known for its hot springs, karst landscapes, and historical sites.
  • 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: Wanxian
Triple: [Wanzhou District, formerName, Wanxian]
Generated description
Wanxian was the former name of what is now Wanzhou District, an important port and commercial center along the upper Yangtze River in Chongqing, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wanxian
Target entity description: Wanxian was the former name of what is now Wanzhou District, an important port and commercial center along the upper Yangtze River in Chongqing, China.
  • A. Yuanxing
    Yuanxing was the era name used by Eastern Wu emperor Sun Hao during part of his tumultuous late Three Kingdoms–period reign in China.
  • B. 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.
  • C. Qiuxian County
    Qiuxian County is an administrative county under the jurisdiction of Handan City in Hebei Province, northern China.
  • D. Linxiang
    Linxiang is a county-level city administered by Yueyang in Hunan Province, China, known for its location near the Yangtze River and its regional agricultural and industrial activities.
  • E. Xianning
    Xianning is a prefecture-level city in southeastern Hubei Province, China, known for its hot springs, karst landscapes, and historical sites.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd33557a88190b5fb1938646d8532 completed April 2, 2026, 2:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d354f0def48190bd5fcd5820459893 completed April 6, 2026, 6:38 a.m.
NEDg Description generation batch_69d35916791081908dfcd1b217390225 completed April 6, 2026, 6:56 a.m.
NED2 Entity disambiguation (via description) batch_69d3597cdf188190853d7385f22e8b26 completed April 6, 2026, 6:58 a.m.
Created at: March 30, 2026, 9:06 p.m.