Triple

T15498367
Position Surface form Disambiguated ID Type / Status
Subject Tieling E378881 entity
Predicate hasCountyLevelCity P27799 FINISHED
Object Kaiyuan
Kaiyuan is a county-level city administered by Tieling in Liaoning Province, northeastern China, known for its mix of agriculture and light industry.
E1160069 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: Kaiyuan | Statement: [Tieling, hasCountyLevelCity, Kaiyuan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaiyuan
Context triple: [Tieling, hasCountyLevelCity, Kaiyuan]
  • A. Kaiyuan
    Kaiyuan is a county-level city in Honghe Hani and Yi Autonomous Prefecture in Yunnan Province, southwestern China.
  • B. Yuanhe
    Yuanhe was the era name used during the reign of Emperor Xianzong in the Tang dynasty, marking a specific period in Chinese imperial history.
  • C. Kaiyuan era
    The Kaiyuan era was a prosperous and culturally flourishing period during the reign of Emperor Xuanzong in the High Tang dynasty of China.
  • D. Jianyuan
    Jianyuan was the first era name used by Emperor Wu of the Western Han dynasty, marking the beginning of a new phase in his long and influential reign.
  • E. Kaihuang
    Kaihuang was the inaugural era name of Emperor Wen of the Sui dynasty, marking a period of political consolidation and major reforms in early imperial 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: Kaiyuan
Triple: [Tieling, hasCountyLevelCity, Kaiyuan]
Generated description
Kaiyuan is a county-level city administered by Tieling in Liaoning Province, northeastern China, known for its mix of agriculture and light industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kaiyuan
Target entity description: Kaiyuan is a county-level city administered by Tieling in Liaoning Province, northeastern China, known for its mix of agriculture and light industry.
  • A. Kaiyuan
    Kaiyuan is a county-level city in Honghe Hani and Yi Autonomous Prefecture in Yunnan Province, southwestern China.
  • B. Yuanhe
    Yuanhe was the era name used during the reign of Emperor Xianzong in the Tang dynasty, marking a specific period in Chinese imperial history.
  • C. Kaiyuan era
    The Kaiyuan era was a prosperous and culturally flourishing period during the reign of Emperor Xuanzong in the High Tang dynasty of China.
  • D. Jianyuan
    Jianyuan was the first era name used by Emperor Wu of the Western Han dynasty, marking the beginning of a new phase in his long and influential reign.
  • E. Kaihuang
    Kaihuang was the inaugural era name of Emperor Wen of the Sui dynasty, marking a period of political consolidation and major reforms in early imperial 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fb0aee081909db1c54349ec8492 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3667a53c81908be789f99e580265 completed May 9, 2026, 1:28 p.m.
NEDg Description generation batch_69ff3744ba8c81909989864ba107b93b completed May 9, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_69ff37ee94b081909309062b2d30ede5 completed May 9, 2026, 1:34 p.m.
Created at: April 10, 2026, 3:53 a.m.