Triple

T13184340
Position Surface form Disambiguated ID Type / Status
Subject USAA E313807 entity
Predicate hasSubsidiary P254 FINISHED
Object USAA Federal Savings Bank E313807 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: USAA Federal Savings Bank | Statement: [USAA, hasSubsidiary, USAA Federal Savings Bank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: USAA Federal Savings Bank
Context triple: [USAA, hasSubsidiary, USAA Federal Savings Bank]
  • A. USAA chosen
    USAA is a U.S.-based financial services company best known for providing insurance, banking, and investment products primarily to military members and their families.
  • B. FirstBank
    FirstBank is a financial institution whose naming rights sponsorship extends to major venues such as FirstBank Stadium.
  • C. U.S. Bank
    U.S. Bank is a major American financial services company and one of the largest commercial banks in the United States.
  • D. Orange Bank
    Orange Bank is a French mobile-first digital bank offering online banking and financial services under the Orange telecommunications brand.
  • E. Comerica Bank
    Comerica Bank is a large U.S. financial services company headquartered in Dallas, Texas, known for its commercial banking, wealth management, and retail banking operations.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c4a0b0081908027bf77442ff5ff completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff1581388190824a5377b64bd0ef completed May 3, 2026, 7:53 a.m.
Created at: April 9, 2026, 9:15 p.m.