Triple

T14375952
Position Surface form Disambiguated ID Type / Status
Subject Plusnet E356473 entity
Predicate partOf P40 FINISHED
Object BT Consumer division 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 division | Statement: [Plusnet, partOf, BT Consumer division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BT Consumer division
Context triple: [Plusnet, partOf, BT Consumer division]
  • 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 two-letter ISO 3166-1 alpha-2 country code assigned to Bhutan for international standardization purposes.
  • C. BT
    BT is the vehicle registration code used on license plates for the city and district of Bayreuth in Upper Franconia, Germany.
  • D. BT
    BT is a major British telecommunications and network services company providing broadband, mobile, TV, and IT services in the UK and internationally.
  • E. BT
    BT is the postcode area covering Belfast and much of Northern Ireland.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900949fc81909be0da1734c46645 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c5514688190be90776c8764d4f3 completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:16 a.m.