Triple

T704289
Position Surface form Disambiguated ID Type / Status
Subject Equifax E14065 entity
Predicate hasSubsidiary P254 FINISHED
Object Equifax UK E14065 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: Equifax UK | Statement: [Equifax, hasSubsidiary, Equifax UK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Equifax UK
Context triple: [Equifax, hasSubsidiary, Equifax UK]
  • A. Equifax chosen
    Equifax is one of the three major U.S. credit reporting agencies, providing consumer credit information and related financial services worldwide.
  • B. Experian
    Experian is a global consumer credit reporting agency that collects and analyzes financial data to provide credit scores and related services to individuals and businesses.
  • C. TransUnion
    TransUnion is one of the three major U.S. credit reporting agencies, providing consumer credit reports, risk scores, and related financial data services to lenders and businesses worldwide.
  • D. Alliance Data Systems
    Alliance Data Systems is a U.S.-based provider of data-driven marketing, loyalty, and private-label credit card services for retailers and other consumer-facing businesses.
  • E. Capital One
    Capital One is a major American bank holding company best known for its credit card, auto loan, banking, and savings products.
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a533fa788190bba0f55655469c46 completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654dcbb688190ab997a3d31ec729a completed March 3, 2026, 3:26 a.m.
Created at: March 1, 2026, 7:36 p.m.