Triple

T19287814
Position Surface form Disambiguated ID Type / Status
Subject Deloitte E482358 entity
Predicate hasSubsidiaryBrand P25079 FINISHED
Object Deloitte Digital NE NERFINISHED

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: Deloitte Digital | Statement: [Deloitte, hasSubsidiaryBrand, Deloitte Digital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deloitte Digital
Context triple: [Deloitte, hasSubsidiaryBrand, Deloitte Digital]
  • A. Deloitte chosen
    Deloitte is one of the world’s largest professional services firms, providing audit, consulting, tax, and advisory services to clients globally.
  • B. Accenture
    Accenture is a global professional services company specializing in consulting, technology, and outsourcing solutions for businesses and governments worldwide.
  • C. DXC Technology
    DXC Technology is a global IT services and consulting company that provides technology solutions and outsourcing services to enterprises and governments worldwide.
  • D. International Digital Commerce Group
    International Digital Commerce Group is Alibaba Group’s global e-commerce division focused on operating and expanding its international online retail and wholesale platforms.
  • 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 (2 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc032f108190a89e47d1458f3f55 completed April 20, 2026, 10:12 a.m.
Created at: April 10, 2026, 1:30 p.m.