Triple

T12190571
Position Surface form Disambiguated ID Type / Status
Subject Tietoevry E290449 entity
Predicate resultOfMergerOf P63354 FINISHED
Object EVRY E964473 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: EVRY | Statement: [Tietoevry, resultOfMergerOf, EVRY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EVRY
Context triple: [Tietoevry, resultOfMergerOf, EVRY]
  • A. EVRY chosen
    EVRY was a major Nordic IT services and software company that later merged with Tieto to form Tietoevry.
  • B. Evvy
    Evvy is a given name typically used as a short or affectionate form of longer names such as Evan or Evelyn.
  • C. Marmon Retail Solutions
    Marmon Retail Solutions is a business unit within the Marmon Group that provides equipment, fixtures, and integrated solutions for the retail industry.
  • D. Ventra
    Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
  • E. Geralds
    Geralds is a village on the Caribbean island of Montserrat, known for hosting the island’s main airport.
  • 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_69d93ed7251c8190b94d7cd75ad49b9c completed April 10, 2026, 6:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a8d24508190b0a60ca76d775b1e completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:50 p.m.