Triple

T17928552
Position Surface form Disambiguated ID Type / Status
Subject Chaoyang E448263 entity
Predicate hasCountyLevelCity P27799 FINISHED
Object Beipiao
Beipiao is a county-level city in western Liaoning Province, China, known for its rich fossil deposits and significant paleontological discoveries.
E1298275 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: Beipiao | Statement: [Chaoyang, hasCountyLevelCity, Beipiao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beipiao
Context triple: [Chaoyang, hasCountyLevelCity, Beipiao]
  • A. Bocheng
    Bocheng is a Chinese given name most notably borne by the prominent Communist military leader and strategist Liu Bocheng.
  • B. Yifang
    Yifang is a given name of Chinese origin used for both males and females.
  • C. Zaiyuan
    Zaiyuan was a late Qing dynasty Manchu prince and statesman who played a key role in court politics and was ultimately executed for his involvement in the failed Xinyou Coup of 1861.
  • D. Bianliang
    Bianliang is the historical name of the Chinese city that served as the capital during the Northern Song dynasty, now known as Kaifeng.
  • E. 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.
  • 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: Beipiao
Triple: [Chaoyang, hasCountyLevelCity, Beipiao]
Generated description
Beipiao is a county-level city in western Liaoning Province, China, known for its rich fossil deposits and significant paleontological discoveries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Beipiao
Target entity description: Beipiao is a county-level city in western Liaoning Province, China, known for its rich fossil deposits and significant paleontological discoveries.
  • A. Bocheng
    Bocheng is a Chinese given name most notably borne by the prominent Communist military leader and strategist Liu Bocheng.
  • B. Yifang
    Yifang is a given name of Chinese origin used for both males and females.
  • C. Zaiyuan
    Zaiyuan was a late Qing dynasty Manchu prince and statesman who played a key role in court politics and was ultimately executed for his involvement in the failed Xinyou Coup of 1861.
  • D. Bianliang
    Bianliang is the historical name of the Chinese city that served as the capital during the Northern Song dynasty, now known as Kaifeng.
  • E. 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.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a5505af88190aa7a5cfee0baa3a4 completed April 19, 2026, 9:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03290f30a88190814f4045eb31e639 completed May 12, 2026, 1:20 p.m.
NEDg Description generation batch_6a032b4780b881909f6f8038efe726ec completed May 12, 2026, 1:29 p.m.
NED2 Entity disambiguation (via description) batch_6a032c8f29848190bd3e2a8d55b558a9 completed May 12, 2026, 1:35 p.m.
Created at: April 10, 2026, 10:20 a.m.