Triple

T8202621
Position Surface form Disambiguated ID Type / Status
Subject King Zhou of Shang E191614 entity
Predicate capital P234 FINISHED
Object Zhaoge
Zhaoge was an ancient Chinese city that served as the final capital of the Shang dynasty before its fall to the Zhou.
 E726828 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: Zhaoge | Statement: [King Zhou of Shang, capital, Zhaoge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zhaoge
Context triple: [King Zhou of Shang, capital, Zhaoge]
  • A. Yizhu
    Yizhu was the personal name of the Xianfeng Emperor, a Qing dynasty ruler of China in the mid-19th century.
  • B. Zizhan
    Zizhan is the courtesy name of Su Shi, the renowned Song dynasty Chinese poet, calligrapher, and statesman also known as Su Dongpo.
  • C. Lingzhao
    Lingzhao is the given name of Zhou Lingzhao, a notable Chinese artist and designer known for his contributions to modern Chinese visual culture.
  • D. Zhenyuan
    Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
  • E. Shen
    Shen is a Chinese surname historically borne by notable figures such as the Song dynasty polymath Shen Kuo.
  • 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: Zhaoge
Triple: [King Zhou of Shang, capital, Zhaoge]
Generated description
Zhaoge was an ancient Chinese city that served as the final capital of the Shang dynasty before its fall to the Zhou.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zhaoge
Target entity description: Zhaoge was an ancient Chinese city that served as the final capital of the Shang dynasty before its fall to the Zhou.
  • A. Yizhu
    Yizhu was the personal name of the Xianfeng Emperor, a Qing dynasty ruler of China in the mid-19th century.
  • B. Zizhan
    Zizhan is the courtesy name of Su Shi, the renowned Song dynasty Chinese poet, calligrapher, and statesman also known as Su Dongpo.
  • C. Lingzhao
    Lingzhao is the given name of Zhou Lingzhao, a notable Chinese artist and designer known for his contributions to modern Chinese visual culture.
  • D. Zhenyuan
    Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
  • E. Shen
    Shen is a Chinese surname historically borne by notable figures such as the Song dynasty polymath Shen Kuo.
  • 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_69ca82c7f3e08190857bf1fc63b2a10c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb5df84b108190b4407a72a3500af9 completed March 31, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd94c7db688190a755d0143c71c2b2 completed April 1, 2026, 9:57 p.m.
NEDg Description generation batch_69cdb20cc18081908269516e49ce0fd3 completed April 2, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_69cdb44ff9a88190bbcb4a56f9b44dc1 completed April 2, 2026, 12:12 a.m.
Created at: March 30, 2026, 5:43 p.m.