Triple

T20714318
Position Surface form Disambiguated ID Type / Status
Subject Leeds Arena E509128 entity
Predicate operator P179 FINISHED
Object SMG Europe NE NERFINISHED

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: SMG Europe | Statement: [Leeds Arena, operator, SMG Europe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SMG Europe
Context triple: [Leeds Arena, operator, SMG Europe]
  • A. SMG World
    SMG World is a global venue management company that operates and manages convention centers, stadiums, arenas, and other large public facilities.
  • B. SMG
    SMG is the commonly used abbreviation for Sai Masu Gida, a nickname associated with Nigerian football club Kano Pillars FC.
  • C. SMG chosen
    SMG is a private company specializing in the management and operation of public assembly facilities such as stadiums, arenas, and convention centers.
  • D. SMG
    SMG is the abbreviation for the Science Museum Group, a UK-based organization that manages several major science and technology museums.
  • E. SMC (Stadium Management Company)
    SMC (Stadium Management Company) is the organization responsible for overseeing the day-to-day operations, events, and facilities management of the KCOM Stadium in Hull, England.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c40ad88190b81f77695366d328 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1d001788190a524a17347f9de67 completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:15 p.m.