Triple

T15677249
Position Surface form Disambiguated ID Type / Status
Subject Polagra food and hospitality fairs E377474 entity
Predicate organizer P123 FINISHED
Object MTP Group E377471 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: MTP Group | Statement: [Polagra food and hospitality fairs, organizer, MTP Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MTP Group
Context triple: [Polagra food and hospitality fairs, organizer, MTP Group]
  • A. MTP Group chosen
    MTP Group is a major Polish trade fair and event organizing company based in Poznań, known for hosting large-scale international exhibitions, conferences, and business events.
  • B. GPT Group
    GPT Group is an Australian property investment and management company specializing in owning and operating retail shopping centres and commercial real estate.
  • C. MCH Group
    MCH Group is a Swiss-based global live marketing and events company best known for organizing major international art fairs and trade shows, including the Art Basel franchise.
  • D. M6 Group
    M6 Group is a major French media company best known for operating the popular television channel M6 and a portfolio of TV, radio, and digital media services.
  • E. West Group
    West Group was a major American legal publishing company best known for producing comprehensive case law reporters and legal research materials used by lawyers and courts.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f2e10a4819097eba1ea31e36ac2 completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ee0446881909e9c2504d51d49a3 completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:16 a.m.