Triple

T12190567
Position Surface form Disambiguated ID Type / Status
Subject Tietoevry E290449 entity
Predicate formerName P65 FINISHED
Object TietoEVRY E290449 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: TietoEVRY | Statement: [Tietoevry, formerName, TietoEVRY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TietoEVRY
Context triple: [Tietoevry, formerName, TietoEVRY]
  • A. Evvy
    Evvy is a given name typically used as a short or affectionate form of longer names such as Evan or Evelyn.
  • B. Tietoevry chosen
    Tietoevry is a Nordic-based IT services and software company specializing in digital transformation, cloud, and data-driven solutions for businesses and public sector organizations.
  • C. EVS
    EVS (Enhanced Voice Services) is a modern audio codec designed to deliver high-quality, low-latency voice and audio over LTE and other IP-based communication networks.
  • D. NEV
    NEV is the IATA airport code for Vance W. Amory International Airport on the Caribbean island of Nevis in Saint Kitts and Nevis.
  • E. ENEV
    ENEV is the ICAO airport code for Harstad/Narvik Airport, Evenes in Norway.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c5340248190b79379423f3a3ca1 completed April 10, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6b240f88190af916054869c3b95 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.