Triple

T14084787
Position Surface form Disambiguated ID Type / Status
Subject Governor-General of Liangguang E338962 entity
Predicate officeHeldBy P537 FINISHED
Object Ruilin
Ruilin was a Qing dynasty official who served as a high-ranking imperial administrator and regional governor in southern China.
 E1081297 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: Ruilin | Statement: [Governor-General of Liangguang, officeHeldBy, Ruilin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ruilin
Context triple: [Governor-General of Liangguang, officeHeldBy, Ruilin]
  • A. Ronglu
    Ronglu was a high-ranking Qing dynasty general and statesman who played a key role in military and political affairs during the late imperial period, including the Boxer Rebellion.
  • B. Ruian
    Ruian is a county-level coastal city administered by Wenzhou in Zhejiang Province, China, known for its private entrepreneurship and light manufacturing industries.
  • C. Liguo
    Liguo is a Chinese given name commonly used for males and borne by various individuals across different fields.
  • D. Heqing
    Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • E. Qichao
    Qichao is the given name of Liang Qichao, a prominent late Qing and early Republican Chinese scholar, journalist, and reformist thinker.
  • 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: Ruilin
Triple: [Governor-General of Liangguang, officeHeldBy, Ruilin]
Generated description
Ruilin was a Qing dynasty official who served as a high-ranking imperial administrator and regional governor in southern China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ruilin
Target entity description: Ruilin was a Qing dynasty official who served as a high-ranking imperial administrator and regional governor in southern China.
  • A. Ronglu
    Ronglu was a high-ranking Qing dynasty general and statesman who played a key role in military and political affairs during the late imperial period, including the Boxer Rebellion.
  • B. Ruian
    Ruian is a county-level coastal city administered by Wenzhou in Zhejiang Province, China, known for its private entrepreneurship and light manufacturing industries.
  • C. Liguo
    Liguo is a Chinese given name commonly used for males and borne by various individuals across different fields.
  • D. Heqing
    Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • E. Qichao
    Qichao is the given name of Liang Qichao, a prominent late Qing and early Republican Chinese scholar, journalist, and reformist thinker.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ede40048190b465e909565730c1 completed April 14, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdefe88b481908b3dca1f019e7809 completed May 7, 2026, 6:50 p.m.
NEDg Description generation batch_69fce15e4d4c8190916ab384f37e7b11 completed May 7, 2026, 7 p.m.
NED2 Entity disambiguation (via description) batch_69fce1d5906c8190bd39e08861b9f53e completed May 7, 2026, 7:02 p.m.
Created at: April 9, 2026, 10:21 p.m.