Triple

T13872477
Position Surface form Disambiguated ID Type / Status
Subject Wu Bangguo E333488 entity
Predicate givenName P17 FINISHED
Object Bangguo
Bangguo is the given name of Wu Bangguo, a prominent Chinese politician who served as Chairman of the Standing Committee of the National People's Congress.
 E1065470 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: Bangguo | Statement: [Wu Bangguo, givenName, Bangguo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bangguo
Context triple: [Wu Bangguo, givenName, Bangguo]
  • A. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • B. Zhonghe
    Zhonghe was the reign era title used by Emperor Xizong during a late period of the Tang dynasty in China.
  • C. Guguan
    Guguan is an uninhabited volcanic island in the Northern Mariana Islands chain in the western Pacific Ocean.
  • D. Gao Kingdom
    The Gao Kingdom was an early West African state centered on the city of Gao that laid the foundations for the later expansion and dominance of the Songhai Empire.
  • E. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • 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: Bangguo
Triple: [Wu Bangguo, givenName, Bangguo]
Generated description
Bangguo is the given name of Wu Bangguo, a prominent Chinese politician who served as Chairman of the Standing Committee of the National People's Congress.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bangguo
Target entity description: Bangguo is the given name of Wu Bangguo, a prominent Chinese politician who served as Chairman of the Standing Committee of the National People's Congress.
  • A. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • B. Zhonghe
    Zhonghe was the reign era title used by Emperor Xizong during a late period of the Tang dynasty in China.
  • C. Guguan
    Guguan is an uninhabited volcanic island in the Northern Mariana Islands chain in the western Pacific Ocean.
  • D. Gao Kingdom
    The Gao Kingdom was an early West African state centered on the city of Gao that laid the foundations for the later expansion and dominance of the Songhai Empire.
  • E. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c638248190bbe5d19f7b88d0f9 completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c107c20c81909dff0ca4a59fcc55 completed May 3, 2026, 9:41 p.m.
NEDg Description generation batch_69f7c20da9448190b3167b091bd39b94 completed May 3, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_69f7c2cc63148190b9ca2828abe54286 completed May 3, 2026, 9:49 p.m.
Created at: April 9, 2026, 10:14 p.m.