Triple

T11959834
Position Surface form Disambiguated ID Type / Status
Subject UBM Tech E284638 entity
Predicate parentCompany P254 FINISHED
Object UBM plc E956230 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: UBM plc | Statement: [UBM Tech, parentCompany, UBM plc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UBM plc
Context triple: [UBM Tech, parentCompany, UBM plc]
  • A. United Business Media chosen
    United Business Media was a global business-to-business media and events company known for publishing, trade shows, and information services across various industry sectors.
  • B. Informa plc
    Informa plc is a British multinational publishing, business intelligence, and events company known for owning academic publisher Taylor & Francis and organizing major trade exhibitions and conferences worldwide.
  • C. Egmont Group
    Egmont Group is a Danish media conglomerate and charitable foundation that operates in publishing, film, television, and digital entertainment across multiple countries.
  • D. Egmont Group
    Egmont Group is an international network of national financial intelligence units that collaborate to combat money laundering, terrorist financing, and other financial crimes.
  • E. UBM Tech
    UBM Tech was a business-to-business media and information company focused on the technology industry, known for publishing specialized tech publications and running industry events and conferences.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9036941948190b150369094551731 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f471d625c88190baed4ea08853988a completed May 1, 2026, 9:26 a.m.
Created at: April 8, 2026, 9:45 p.m.