Triple

T14378280
Position Surface form Disambiguated ID Type / Status
Subject MTV Oy E356530 entity
Predicate ownedBy P347 FINISHED
Object Telia Company E1095991 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: Telia Company | Statement: [MTV Oy, ownedBy, Telia Company]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Telia Company
Context triple: [MTV Oy, ownedBy, Telia Company]
  • A. Telia Company chosen
    Telia Company is a major Nordic and Baltic telecommunications provider offering mobile, broadband, and TV services across multiple countries.
  • B. Telenor
    Telenor is a major Norwegian telecommunications company that provides mobile, broadband, and digital services across Scandinavia and multiple international markets.
  • C. Deutsche Telekom
    Deutsche Telekom is a major German telecommunications company and one of the largest telecom providers in Europe, offering mobile, fixed-line, and internet services worldwide.
  • D. Ericsson
    Ericsson is a Swedish multinational telecommunications company known for providing mobile network infrastructure, services, and software to operators worldwide.
  • E. GTE Mobilnet
    GTE Mobilnet was a major U.S. cellular telephone service provider that operated mobile networks before eventually becoming part of 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900a67e08190ab1dcf36e6bb3405 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551002948190aeb93d245e1449a7 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.