Triple

T15202865
Position Surface form Disambiguated ID Type / Status
Subject BT Group E363309 entity
Predicate subsidiary P258 FINISHED
Object BT Consumer E363310 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 Consumer | Statement: [BT Group, subsidiary, BT Consumer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BT Consumer
Context triple: [BT Group, subsidiary, BT Consumer]
  • A. BT Consumer chosen
    BT Consumer is the retail division of BT Group that provides broadband, mobile, landline, and TV services to residential customers in the UK.
  • B. BT
    BT is the vehicle registration code used on license plates for the city and district of Bayreuth in Upper Franconia, Germany.
  • C. BT
    BT is a peer-to-peer file sharing protocol widely used for distributing large amounts of data over the internet.
  • D. BT
    BT is the two-letter ISO 3166-1 alpha-2 country code assigned to Bhutan for international standardization purposes.
  • E. BT
    BT was the stock ticker symbol for Bankers Trust, a major American banking institution that played a significant role in investment banking and financial services before its acquisition by Deutsche Bank.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b693a48190a6230b7b52bc8cd3 completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed3390b708190b10c876c437c72c8 completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 3:10 a.m.