Triple

T15643879
Position Surface form Disambiguated ID Type / Status
Subject Financial Supervisory Commission (Taiwan) E376129 entity
Predicate hasDivision P35 FINISHED
Object Banking Bureau
The Banking Bureau is a regulatory authority in Taiwan responsible for overseeing and supervising the banking sector under the Financial Supervisory Commission.
E1168276 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: Banking Bureau | Statement: [Financial Supervisory Commission (Taiwan), hasDivision, Banking Bureau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banking Bureau
Context triple: [Financial Supervisory Commission (Taiwan), hasDivision, Banking Bureau]
  • A. Bank
    Bank is a major London Underground and rail interchange in the City of London, serving as a key hub for financial district commuters.
  • B. The People’s Bank
    The People’s Bank is the motto of the Bank of Guam, emphasizing its focus on serving the local community and its customers’ needs.
  • C. Banks
    Banks is a small village in Lancashire, England, known for its rural character and proximity to the town of Tarleton.
  • D. Banks
    Banks is a residential suburb in the Tuggeranong district of Canberra, Australian Capital Territory.
  • E. Banks
    Banks is a common English surname borne by numerous notable individuals across sports, politics, arts, and other fields.
  • 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: Banking Bureau
Triple: [Financial Supervisory Commission (Taiwan), hasDivision, Banking Bureau]
Generated description
The Banking Bureau is a regulatory authority in Taiwan responsible for overseeing and supervising the banking sector under the Financial Supervisory Commission.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Banking Bureau
Target entity description: The Banking Bureau is a regulatory authority in Taiwan responsible for overseeing and supervising the banking sector under the Financial Supervisory Commission.
  • A. Bank
    Bank is a major London Underground and rail interchange in the City of London, serving as a key hub for financial district commuters.
  • B. The People’s Bank
    The People’s Bank is the motto of the Bank of Guam, emphasizing its focus on serving the local community and its customers’ needs.
  • C. Banks
    Banks is a small village in Lancashire, England, known for its rural character and proximity to the town of Tarleton.
  • D. Banks
    Banks is a residential suburb in the Tuggeranong district of Canberra, Australian Capital Territory.
  • E. Banks
    Banks is a common English surname borne by numerous notable individuals across sports, politics, arts, and other fields.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed400ec8190a14a9f7cf3092865 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f4d49188190855a895c5844dee0 completed May 9, 2026, 4:22 p.m.
NEDg Description generation batch_69ff614906cc81909d978d8645045af3 completed May 9, 2026, 4:31 p.m.
NED2 Entity disambiguation (via description) batch_69ff61b3b3f08190a2a1e1010684a316 completed May 9, 2026, 4:32 p.m.
Created at: April 10, 2026, 4:15 a.m.