Triple

T10405005
Position Surface form Disambiguated ID Type / Status
Subject Bell MTS E245238 entity
Predicate offersProduct P10882 FINISHED
Object Bell MTS Wireless E245238 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: Bell MTS Wireless | Statement: [Bell MTS, offersProduct, Bell MTS Wireless]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bell MTS Wireless
Context triple: [Bell MTS, offersProduct, Bell MTS Wireless]
  • A. Telus
    Telus is a major Canadian telecommunications company providing wireless, internet, television, and business communication services across Canada.
  • B. Bell MTS chosen
    Bell MTS is a Canadian telecommunications company providing wireless, internet, television, and phone services primarily in Manitoba.
  • C. Rogers Communications
    Rogers Communications is a major Canadian telecommunications and media company providing wireless, cable, internet, and broadcasting services nationwide.
  • D. Mountain Bell
    Mountain Bell was a regional Bell Operating Company that provided telephone service across several western U.S. states before being reorganized into US West.
  • E. Alltel
    Alltel was a major American wireless telecommunications company that provided mobile phone services across numerous U.S. states before being largely acquired by Verizon Wireless.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9e5fb58819081d7d3e1dc625197 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fbe721b48190a4fd0c1d839c580e completed April 9, 2026, 7:20 p.m.
Created at: April 6, 2026, 12:08 p.m.