Triple

T11959955
Position Surface form Disambiguated ID Type / Status
Subject Virgin Plus E284641 entity
Predicate brandFamily P11218 FINISHED
Object Virgin Group E39791 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: Virgin Group | Statement: [Virgin Plus, brandFamily, Virgin Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Virgin Group
Context triple: [Virgin Plus, brandFamily, Virgin Group]
  • A. Virgin Group chosen
    Virgin Group is a multinational British conglomerate known for its diverse portfolio of businesses spanning sectors such as travel, telecommunications, music, and financial services.
  • B. Berkeley Group
    Berkeley Group is a major British property development company known for building large-scale residential and mixed-use projects, particularly in London and the South East of England.
  • C. The Really Useful Group
    The Really Useful Group is a theatre production and licensing company founded by composer Andrew Lloyd Webber to manage and produce his stage and film musical projects.
  • D. The Very Group
    The Very Group is a major UK-based digital retail and financial services company best known for operating online retail brands such as Very and Littlewoods.
  • E. WB Group
    WB Group is a leading Polish defense technology company specializing in advanced military communications, unmanned systems, and battlefield management solutions.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9036941948190b150369094551731 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4592fa9a48190a0450e3d0c57c4d3 completed May 1, 2026, 7:41 a.m.
Created at: April 8, 2026, 9:45 p.m.