Triple

T6109455
Position Surface form Disambiguated ID Type / Status
Subject Diaoyutai Lieyu E136197 entity
Predicate hasIsland P970 FINISHED
Object Chiwei Yu
Chiwei Yu is a small, remote islet in the East China Sea that is part of the disputed Diaoyutai/Senkaku Islands archipelago.
 E571123 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: Chiwei Yu | Statement: [Diaoyutai Lieyu, hasIsland, Chiwei Yu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chiwei Yu
Context triple: [Diaoyutai Lieyu, hasIsland, Chiwei Yu]
  • A. Jun-Yan Zhu
    Jun-Yan Zhu is a computer scientist and researcher known for his influential work in computer vision and generative models, particularly in image-to-image translation.
  • B. Yuhuai Wu
    Yuhuai Wu is an AI researcher and entrepreneur known for his work on large language models and as a member of Elon Musk’s xAI team.
  • C. Langche Zeng
    Langche Zeng is a political scientist and quantitative methodologist known for his collaborative work with Gary King on statistical methods in social science research.
  • D. Yao Chen
    Yao Chen is a prominent Chinese actress and philanthropist known for her influential social media presence and advocacy on social issues.
  • E. Xiaodong Chen
    Xiaodong Chen is a prominent materials scientist and nanotechnology researcher who serves as editor-in-chief of the journal ACS Nano.
  • 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: Chiwei Yu
Triple: [Diaoyutai Lieyu, hasIsland, Chiwei Yu]
Generated description
Chiwei Yu is a small, remote islet in the East China Sea that is part of the disputed Diaoyutai/Senkaku Islands archipelago.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chiwei Yu
Target entity description: Chiwei Yu is a small, remote islet in the East China Sea that is part of the disputed Diaoyutai/Senkaku Islands archipelago.
  • A. Jun-Yan Zhu
    Jun-Yan Zhu is a computer scientist and researcher known for his influential work in computer vision and generative models, particularly in image-to-image translation.
  • B. Yuhuai Wu
    Yuhuai Wu is an AI researcher and entrepreneur known for his work on large language models and as a member of Elon Musk’s xAI team.
  • C. Langche Zeng
    Langche Zeng is a political scientist and quantitative methodologist known for his collaborative work with Gary King on statistical methods in social science research.
  • D. Yao Chen
    Yao Chen is a prominent Chinese actress and philanthropist known for her influential social media presence and advocacy on social issues.
  • E. Xiaodong Chen
    Xiaodong Chen is a prominent materials scientist and nanotechnology researcher who serves as editor-in-chief of the journal ACS Nano.
  • 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_69c0089ea6f88190b349be53e04b4f5f completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b835ed48190971c3ba397ca329f completed March 22, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c13598c54c8190b3701de83005875c completed March 23, 2026, 12:44 p.m.
NEDg Description generation batch_69c137d902c08190a857814ff70a82eb completed March 23, 2026, 12:53 p.m.
NED2 Entity disambiguation (via description) batch_69c1389690e88190b1a9045c3a8fc892 completed March 23, 2026, 12:56 p.m.
Created at: March 22, 2026, 4:13 p.m.