Triple

T3727906
Position Surface form Disambiguated ID Type / Status
Subject YouView E78992 entity
Predicate hasPartner P1136 FINISHED
Object BT E363313 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 | Statement: [YouView, hasPartner, BT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BT
Context triple: [YouView, hasPartner, BT]
  • A. BT
    BT is the two-letter ISO 3166-1 alpha-2 country code assigned to Bhutan for international standardization purposes.
  • 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 chosen
    BT is a major British telecommunications and network services company providing broadband, mobile, TV, and IT services in the UK and internationally.
  • D. BT
    BT is an American electronic music producer and composer known for pioneering trance and progressive electronic styles and for his innovative use of production techniques.
  • E. Bt
    Bt is the post-nominal abbreviation for a baronetcy title in the British honours system, indicating that the holder is a baronet.
  • 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_69ad8b0e4650819090ad7cef094285e8 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcaf921bc81908bb347d6b9204670 completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db1102a08190b5965c474dfab6db completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:34 p.m.