Triple

T2212656
Position Surface form Disambiguated ID Type / Status
Subject Beiyang Fleet E50951 entity
Predicate vessel P862 FINISHED
Object Guangbing
Guangbing was a warship that served in China's late 19th-century Beiyang Fleet, one of the Qing dynasty's principal modern naval forces.
 E245748 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: Guangbing | Statement: [Beiyang Fleet, vessel, Guangbing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Guangbing
Context triple: [Beiyang Fleet, vessel, Guangbing]
  • A. Zongren
    Zongren is the given name of Li Zongren, a prominent Chinese military commander and political leader of the early to mid-20th century.
  • B. Bai Qi
    Bai Qi was a renowned Qin general of the Warring States period, famed for his brilliant military strategies and ruthless effectiveness on the battlefield.
  • C. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • D. Qibao
    Qibao is an ancient water town and popular tourist area in Shanghai, known for its historic streets, canals, and traditional architecture.
  • E. Le Duan
    Le Duan was a Vietnamese communist revolutionary and politician who served as the de facto top leader of North Vietnam during most of the Vietnam War and later of a reunified Vietnam.
  • 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: Guangbing
Triple: [Beiyang Fleet, vessel, Guangbing]
Generated description
Guangbing was a warship that served in China's late 19th-century Beiyang Fleet, one of the Qing dynasty's principal modern naval forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Guangbing
Target entity description: Guangbing was a warship that served in China's late 19th-century Beiyang Fleet, one of the Qing dynasty's principal modern naval forces.
  • A. Zongren
    Zongren is the given name of Li Zongren, a prominent Chinese military commander and political leader of the early to mid-20th century.
  • B. Bai Qi
    Bai Qi was a renowned Qin general of the Warring States period, famed for his brilliant military strategies and ruthless effectiveness on the battlefield.
  • C. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • D. Qibao
    Qibao is an ancient water town and popular tourist area in Shanghai, known for its historic streets, canals, and traditional architecture.
  • E. Le Duan
    Le Duan was a Vietnamese communist revolutionary and politician who served as the de facto top leader of North Vietnam during most of the Vietnam War and later of a reunified Vietnam.
  • 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_69ae655245c48190a37f4b6344a9a3dc completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae66579c008190876ce89581337293 completed March 9, 2026, 6:19 a.m.
NED2 Entity disambiguation (via description) batch_69ae668ef8bc819085ed1c83f447d396 completed March 9, 2026, 6:19 a.m.
Created at: March 4, 2026, 7:46 p.m.