Triple

T883955
Position Surface form Disambiguated ID Type / Status
Subject City of London E19087 entity
Predicate hasDistrict P459 FINISHED
Object Bank E69095 NE FINISHED

How this triple was built (2 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: Bank | Statement: [City of London, hasDistrict, Bank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bank
Context triple: [City of London, hasDistrict, Bank]
  • A. Bank junction chosen
    Bank junction is a major road intersection and financial hub in the City of London, surrounded by landmark institutions such as the Bank of England and the Royal Exchange.
  • B. Bank One Corporation
    Bank One Corporation was a major U.S. bank holding company that became one of the nation’s largest banks before its 2004 acquisition by JPMorgan Chase.
  • C. Washington Mutual
    Washington Mutual was a former major U.S. savings and loan association that became the largest bank failure in American history during the 2008 financial crisis.
  • D. Allfunds Bank
    Allfunds Bank is a leading global wealthtech platform that provides fund distribution and related services to financial institutions.
  • E. Chase Manhattan Bank
    Chase Manhattan Bank was a major American commercial and investment bank based in New York City that became one of the largest financial institutions in the United States before merging into JPMorgan Chase.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ace495348190aec66f35ea90bc89 completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b85a37648190b20b12c544a85bda completed March 4, 2026, 4:43 a.m.
Created at: March 1, 2026, 7:39 p.m.