Triple

T704291
Position Surface form Disambiguated ID Type / Status
Subject Equifax E14065 entity
Predicate hasSubsidiary P254 FINISHED
Object Equifax Workforce Solutions 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 Workforce Solutions | Statement: [Equifax, hasSubsidiary, Equifax Workforce Solutions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Equifax Workforce Solutions
Context triple: [Equifax, hasSubsidiary, Equifax Workforce Solutions]
  • 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. 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.
  • C. ManpowerGroup
    ManpowerGroup is a global workforce solutions and staffing services company that provides recruitment, talent management, and outsourcing services to businesses worldwide.
  • D. Capital One
    Capital One is a major American bank holding company best known for its credit card, auto loan, banking, and savings products.
  • E. Groupe ADP
    Groupe ADP is a major French airport management company that owns and operates the Paris-area airports and provides aviation and related services worldwide.
  • 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_69a6666acf1081908325ae2ba74b6bae completed March 3, 2026, 4:41 a.m.
Created at: March 1, 2026, 7:36 p.m.