Triple

T8880860
Position Surface form Disambiguated ID Type / Status
Subject Dehong Dai and Jingpo Autonomous Prefecture E211405 entity
Predicate hasSettlement P1068 FINISHED
Object Lianghe
Lianghe is a town in southwestern China's Yunnan province, known as the seat of Lianghe County within the Dehong Dai and Jingpo Autonomous Prefecture.
E765340 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: Lianghe | Statement: [Dehong Dai and Jingpo Autonomous Prefecture, hasSettlement, Lianghe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lianghe
Context triple: [Dehong Dai and Jingpo Autonomous Prefecture, hasSettlement, Lianghe]
  • A. Suihua
    Suihua is a prefecture-level city in northeastern China known for its agricultural production and cold climate.
  • B. Yongcong
    Yongcong was a Qing dynasty imperial prince, one of the sons of the Qianlong Emperor of China.
  • C. Daliang
    Daliang was the principal city and political center of the ancient Chinese State of Wei during the Warring States period.
  • D. Lengshuijiang
    Lengshuijiang is a county-level city under the administration of Loudi in Hunan Province, China, known for its industrial development and mining resources.
  • E. Xiping
    Xiping was an era name used during the reign of Emperor Ling in the late Eastern Han dynasty of China.
  • 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: Lianghe
Triple: [Dehong Dai and Jingpo Autonomous Prefecture, hasSettlement, Lianghe]
Generated description
Lianghe is a town in southwestern China's Yunnan province, known as the seat of Lianghe County within the Dehong Dai and Jingpo Autonomous Prefecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lianghe
Target entity description: Lianghe is a town in southwestern China's Yunnan province, known as the seat of Lianghe County within the Dehong Dai and Jingpo Autonomous Prefecture.
  • A. Suihua
    Suihua is a prefecture-level city in northeastern China known for its agricultural production and cold climate.
  • B. Yongcong
    Yongcong was a Qing dynasty imperial prince, one of the sons of the Qianlong Emperor of China.
  • C. Daliang
    Daliang was the principal city and political center of the ancient Chinese State of Wei during the Warring States period.
  • D. Lengshuijiang
    Lengshuijiang is a county-level city under the administration of Loudi in Hunan Province, China, known for its industrial development and mining resources.
  • E. Xiping
    Xiping was an era name used during the reign of Emperor Ling in the late Eastern Han dynasty of China.
  • 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_69ca838f9e20819096ab1f236a70381a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6168e3d881908c58cf11cf5f9a0e completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabc1992481909e8a4216086d5111 completed April 3, 2026, noon
NEDg Description generation batch_69cfadbfa4888190931c76599631366a completed April 3, 2026, 12:08 p.m.
NED2 Entity disambiguation (via description) batch_69cfae3a88dc81908419c44bc83b188a completed April 3, 2026, 12:10 p.m.
Created at: March 30, 2026, 6:52 p.m.