Triple

T15474494
Position Surface form Disambiguated ID Type / Status
Subject BT Sport Box Office E376749 entity
Predicate operator P179 FINISHED
Object BT Group E74186 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: BT Group | Statement: [BT Sport Box Office, operator, BT Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BT Group
Context triple: [BT Sport Box Office, operator, BT Group]
  • A. BT Group chosen
    BT Group is a major British telecommunications and broadband provider offering fixed-line, mobile, internet, and TV services in the UK and internationally.
  • B. Telefónica UK
    Telefónica UK is a major British telecommunications company best known for operating the O2 mobile network and providing mobile, broadband, and related digital services across the United Kingdom.
  • C. Vodafone UK
    Vodafone UK is a major British telecommunications company providing mobile, broadband, and related services across the United Kingdom.
  • D. Vodafone Group
    Vodafone Group is a British multinational telecommunications company that operates mobile and fixed networks, digital services, and enterprise solutions across numerous countries worldwide.
  • E. Carillion
    Carillion was a major British multinational facilities management and construction services company that became widely known for its high-profile projects and controversial collapse in 2018.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f6e859481909c3d08343b7ad27c completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ec4e868819092739e71118d43b0 completed May 9, 2026, 5:28 p.m.
Created at: April 10, 2026, 3:34 a.m.