Triple

T2212651
Position Surface form Disambiguated ID Type / Status
Subject Beiyang Fleet E50951 entity
Predicate vessel P862 FINISHED
Object Laiyuan
Laiyuan was a late 19th-century Chinese armored cruiser of the Beiyang Fleet that fought in the First Sino-Japanese War.
 E248215 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: Laiyuan | Statement: [Beiyang Fleet, vessel, Laiyuan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laiyuan
Context triple: [Beiyang Fleet, vessel, Laiyuan]
  • A. Lincang
    Lincang is a prefecture-level city in southwestern China known for its tea production, diverse ethnic cultures, and location near the border with Myanmar.
  • B. Yuxiang
    Yuxiang is a Chinese given name notably borne by the early 20th-century warlord and military leader Feng Yuxiang.
  • C. Jiyuan
    Jiyuan was a protected cruiser of the late 19th-century Beiyang Fleet of the Qing Dynasty, notable for its role in the First Sino-Japanese War.
  • D. Changling
    Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
  • E. Kaihui
    Kaihui is a Chinese given name most notably borne by Yang Kaihui, the revolutionary and early partner of Mao Zedong.
  • 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: Laiyuan
Triple: [Beiyang Fleet, vessel, Laiyuan]
Generated description
Laiyuan was a late 19th-century Chinese armored cruiser of the Beiyang Fleet that fought in the First Sino-Japanese War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laiyuan
Target entity description: Laiyuan was a late 19th-century Chinese armored cruiser of the Beiyang Fleet that fought in the First Sino-Japanese War.
  • A. Lincang
    Lincang is a prefecture-level city in southwestern China known for its tea production, diverse ethnic cultures, and location near the border with Myanmar.
  • B. Yuxiang
    Yuxiang is a Chinese given name notably borne by the early 20th-century warlord and military leader Feng Yuxiang.
  • C. Jiyuan
    Jiyuan was a protected cruiser of the late 19th-century Beiyang Fleet of the Qing Dynasty, notable for its role in the First Sino-Japanese War.
  • D. Changling
    Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
  • E. Kaihui
    Kaihui is a Chinese given name most notably borne by Yang Kaihui, the revolutionary and early partner of Mao Zedong.
  • 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.