Triple

T8006844
Position Surface form Disambiguated ID Type / Status
Subject Sun Quan E186382 entity
Predicate eraName P2938 FINISHED
Object Chiwu
Chiwu was the era name used by Sun Quan, ruler of Eastern Wu during China’s Three Kingdoms period, for a specific span of his reign.
 E722420 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: Chiwu | Statement: [Sun Quan, eraName, Chiwu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chiwu
Context triple: [Sun Quan, eraName, Chiwu]
  • A. Chonchi
    Chonchi is a small historic coastal town on Chiloé Island in southern Chile, known for its traditional wooden architecture and UNESCO-listed church.
  • B. Chao
    Chao is a variant transliteration of the Chinese surname commonly rendered as Zhao in pinyin.
  • C. Chomu
    Chomu is a historic town in the Indian state of Rajasthan, known for its traditional architecture and cultural heritage.
  • D. Chabi
    Chabi was the influential empress consort of Kublai Khan, noted for her political counsel, patronage of Buddhism, and role in shaping the early Yuan dynasty.
  • E. Chorlu
    Chorlu is a historical name for the Turkish city of Çorlu, an industrial and transportation hub in the Tekirdağ Province of European Turkey.
  • 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: Chiwu
Triple: [Sun Quan, eraName, Chiwu]
Generated description
Chiwu was the era name used by Sun Quan, ruler of Eastern Wu during China’s Three Kingdoms period, for a specific span of his reign.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chiwu
Target entity description: Chiwu was the era name used by Sun Quan, ruler of Eastern Wu during China’s Three Kingdoms period, for a specific span of his reign.
  • A. Chonchi
    Chonchi is a small historic coastal town on Chiloé Island in southern Chile, known for its traditional wooden architecture and UNESCO-listed church.
  • B. Chao
    Chao is a variant transliteration of the Chinese surname commonly rendered as Zhao in pinyin.
  • C. Chomu
    Chomu is a historic town in the Indian state of Rajasthan, known for its traditional architecture and cultural heritage.
  • D. Chabi
    Chabi was the influential empress consort of Kublai Khan, noted for her political counsel, patronage of Buddhism, and role in shaping the early Yuan dynasty.
  • E. Chorlu
    Chorlu is a historical name for the Turkish city of Çorlu, an industrial and transportation hub in the Tekirdağ Province of European Turkey.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3cf8a6048190970685a83fd2f59d completed March 31, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd6744324c8190875444437d8dcc64 completed April 1, 2026, 6:43 p.m.
NEDg Description generation batch_69cd6c1f75748190b119acd0d92f2ef9 completed April 1, 2026, 7:03 p.m.
NED2 Entity disambiguation (via description) batch_69cd7da4f3a0819080eed3d03c293789 completed April 1, 2026, 8:18 p.m.
Created at: March 30, 2026, 5:18 p.m.