Triple

T2699080
Position Surface form Disambiguated ID Type / Status
Subject Treaty of Nanking E58586 entity
Predicate negotiatedBy P378 FINISHED
Object Yilibu
Yilibu was a Qing dynasty official and diplomat who played a key role in negotiating the Treaty of Nanking that ended the First Opium War between China and Britain.
 E291426 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: Yilibu | Statement: [Treaty of Nanking, negotiatedBy, Yilibu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yilibu
Context triple: [Treaty of Nanking, negotiatedBy, Yilibu]
  • A. Teisheba
    Teisheba is the Urartian storm and war god, often associated with thunder, rain, and military power in the ancient Near Eastern pantheon.
  • B. Yinjebi
    Yinjebi is an alternative name for the Nzebi people, a Bantu ethnic group primarily living in Gabon and the Republic of the Congo.
  • C. Yipunu
    Yipunu is a Bantu language spoken primarily by the Punu people of Gabon and neighboring regions in Central Africa.
  • D. Zabana
    Zabana is an Oceanic language spoken in the Solomon Islands, primarily on Santa Isabel Island.
  • E. Qibao
    Qibao is an ancient water town and popular tourist area in Shanghai, known for its historic streets, canals, and traditional architecture.
  • 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: Yilibu
Triple: [Treaty of Nanking, negotiatedBy, Yilibu]
Generated description
Yilibu was a Qing dynasty official and diplomat who played a key role in negotiating the Treaty of Nanking that ended the First Opium War between China and Britain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yilibu
Target entity description: Yilibu was a Qing dynasty official and diplomat who played a key role in negotiating the Treaty of Nanking that ended the First Opium War between China and Britain.
  • A. Teisheba
    Teisheba is the Urartian storm and war god, often associated with thunder, rain, and military power in the ancient Near Eastern pantheon.
  • B. Yinjebi
    Yinjebi is an alternative name for the Nzebi people, a Bantu ethnic group primarily living in Gabon and the Republic of the Congo.
  • C. Yipunu
    Yipunu is a Bantu language spoken primarily by the Punu people of Gabon and neighboring regions in Central Africa.
  • D. Zabana
    Zabana is an Oceanic language spoken in the Solomon Islands, primarily on Santa Isabel Island.
  • E. Qibao
    Qibao is an ancient water town and popular tourist area in Shanghai, known for its historic streets, canals, and traditional architecture.
  • 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_69ab4ac269e481909cb317d79e68b75b completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda339cf48190b9ae6b99137f005e completed March 7, 2026, 7:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf70f9088190acd4c8bd05deea47 completed March 10, 2026, 5:43 a.m.
NEDg Description generation batch_69afb045e304819080efecf2738453e6 completed March 10, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69afb0ab2a8081909e729f883a7438d7 completed March 10, 2026, 5:48 a.m.
Created at: March 6, 2026, 9:55 p.m.