Triple

T7877870
Position Surface form Disambiguated ID Type / Status
Subject Cao Wei E182901 entity
Predicate usedCalendarEraName P36399 FINISHED
Object Qinglong
Qinglong was a historical Chinese era name used during the Three Kingdoms period under the state of Cao Wei.
E701617 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: Qinglong | Statement: [Cao Wei, usedCalendarEraName, Qinglong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qinglong
Context triple: [Cao Wei, usedCalendarEraName, Qinglong]
  • A. Luilang
    Luilang is an extinct Austronesian language once spoken by an indigenous group in northern Taiwan.
  • B. Xin Zhui
    Xin Zhui was a noblewoman of the early Western Han dynasty whose exceptionally well-preserved body and lavish burial at Mawangdui have made her one of the most famous archaeological discoveries in China.
  • C. Jianwu
    Jianwu was the era name marking the early reign of Emperor Guangwu, founder of the Eastern Han dynasty in ancient China.
  • D. Kuichong
    Kuichong is a town within Shenzhen’s Dapeng New District in Guangdong Province, China, known for its coastal scenery and proximity to popular beaches and nature reserves.
  • E. Yangluo
    Yangluo is a town in Wuhan, Hubei Province, China, known as an industrial and port area along the Yangtze River.
  • 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: Qinglong
Triple: [Cao Wei, usedCalendarEraName, Qinglong]
Generated description
Qinglong was a historical Chinese era name used during the Three Kingdoms period under the state of Cao Wei.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Qinglong
Target entity description: Qinglong was a historical Chinese era name used during the Three Kingdoms period under the state of Cao Wei.
  • A. Luilang
    Luilang is an extinct Austronesian language once spoken by an indigenous group in northern Taiwan.
  • B. Xin Zhui
    Xin Zhui was a noblewoman of the early Western Han dynasty whose exceptionally well-preserved body and lavish burial at Mawangdui have made her one of the most famous archaeological discoveries in China.
  • C. Jianwu
    Jianwu was the era name marking the early reign of Emperor Guangwu, founder of the Eastern Han dynasty in ancient China.
  • D. Kuichong
    Kuichong is a town within Shenzhen’s Dapeng New District in Guangdong Province, China, known for its coastal scenery and proximity to popular beaches and nature reserves.
  • E. Yangluo
    Yangluo is a town in Wuhan, Hubei Province, China, known as an industrial and port area along the Yangtze River.
  • 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39bd64e481909f699e7dd2818b8f completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b7fef308190bbc74e13f4205192 completed March 31, 2026, 5:28 a.m.
NEDg Description generation batch_69cb7630b8908190a0b8f4856bceea0a completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbbfb894588190971ade076acdbd5c completed March 31, 2026, 12:36 p.m.
Created at: March 30, 2026, 4:57 p.m.