Triple

T616364
Position Surface form Disambiguated ID Type / Status
Subject Taipei E14412 entity
Predicate isSeatOf P62 FINISHED
Object Control Yuan
The Control Yuan is one of the five branches of government in the Republic of China (Taiwan), responsible for oversight, auditing, and impeachment of public officials.
E77111 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: Control Yuan | Statement: [Taipei, isSeatOf, Control Yuan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Control Yuan
Context triple: [Taipei, isSeatOf, Control Yuan]
  • A. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • B. Pei
    Pei is the family name of I. M. Pei, the renowned Chinese-American architect known for designing landmarks such as the Louvre Pyramid in Paris.
  • C. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • D. Kun Huang
    Kun Huang was a prominent Chinese physicist and crystallographer known for his influential work in solid-state physics and lattice dynamics.
  • E. Cai Hesen
    Cai Hesen was a prominent early Chinese Communist theorist and revolutionary leader who played a key role in shaping the ideological foundations of the Chinese Communist Party.
  • 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: Control Yuan
Triple: [Taipei, isSeatOf, Control Yuan]
Generated description
The Control Yuan is one of the five branches of government in the Republic of China (Taiwan), responsible for oversight, auditing, and impeachment of public officials.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Control Yuan
Target entity description: The Control Yuan is one of the five branches of government in the Republic of China (Taiwan), responsible for oversight, auditing, and impeachment of public officials.
  • A. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • B. Pei
    Pei is the family name of I. M. Pei, the renowned Chinese-American architect known for designing landmarks such as the Louvre Pyramid in Paris.
  • C. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • D. Kun Huang
    Kun Huang was a prominent Chinese physicist and crystallographer known for his influential work in solid-state physics and lattice dynamics.
  • E. Cai Hesen
    Cai Hesen was a prominent early Chinese Communist theorist and revolutionary leader who played a key role in shaping the ideological foundations of the Chinese Communist Party.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e22f3688190a512bec3f0347814 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5554b4f888190b9b64ece37087bf4 completed March 2, 2026, 9:15 a.m.
NEDg Description generation batch_69a555ae08b88190aad64ec7923437ef completed March 2, 2026, 9:17 a.m.
NED2 Entity disambiguation (via description) batch_69a556669878819098816d2221a3fd3d completed March 2, 2026, 9:20 a.m.
Created at: March 1, 2026, 7:35 p.m.