Triple

T2212647
Position Surface form Disambiguated ID Type / Status
Subject Beiyang Fleet E50951 entity
Predicate flagship P9819 FINISHED
Object 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.
E248214 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: Zhenyuan | Statement: [Beiyang Fleet, flagship, Zhenyuan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhenyuan
Context triple: [Beiyang Fleet, flagship, Zhenyuan]
  • A. Zhenwu
    Zhenwu is a powerful Taoist deity associated with the north, martial protection, and spiritual cultivation, especially revered in Chinese religious and martial traditions.
  • B. Xue
    Xue is a Chinese surname borne by various notable historical and contemporary figures.
  • C. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • D. Zongren
    Zongren is the given name of Li Zongren, a prominent Chinese military commander and political leader of the early to mid-20th century.
  • E. He Zun
    He Zun is an ancient Western Zhou bronze ritual vessel renowned for bearing one of the earliest known inscriptions of the name “China” (Zhongguo).
  • 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: Zhenyuan
Triple: [Beiyang Fleet, flagship, Zhenyuan]
Generated description
Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zhenyuan
Target entity description: Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
  • A. Zhenwu
    Zhenwu is a powerful Taoist deity associated with the north, martial protection, and spiritual cultivation, especially revered in Chinese religious and martial traditions.
  • B. Xue
    Xue is a Chinese surname borne by various notable historical and contemporary figures.
  • C. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • D. Zongren
    Zongren is the given name of Li Zongren, a prominent Chinese military commander and political leader of the early to mid-20th century.
  • E. He Zun
    He Zun is an ancient Western Zhou bronze ritual vessel renowned for bearing one of the earliest known inscriptions of the name “China” (Zhongguo).
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfee6ae48190825ca792e8f99946 completed March 7, 2026, 6:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6afa4f4481908cd1559624805559 completed March 9, 2026, 6:38 a.m.
NEDg Description generation batch_69ae6bbba3908190b24b6e29175cc449 completed March 9, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_69ae6c5f6364819085aed383ab0ff8c5 completed March 9, 2026, 6:44 a.m.
Created at: March 4, 2026, 7:46 p.m.