Triple

T11315619
Position Surface form Disambiguated ID Type / Status
Subject Genk E267956 entity
Predicate sportsFacility P2500 FINISHED
Object Cegeka Arena E701740 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: Cegeka Arena | Statement: [Genk, sportsFacility, Cegeka Arena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cegeka Arena
Context triple: [Genk, sportsFacility, Cegeka Arena]
  • A. Cegeka Arena chosen
    Cegeka Arena is a football stadium in Genk, Belgium, best known as the home ground of Belgian professional club KRC Genk.
  • B. Ghelamco Arena
    Ghelamco Arena is a modern football stadium in Ghent, Belgium, primarily known as the home ground of Belgian club KAA Gent.
  • C. T-Com Arena
    T-Com Arena was the former sponsored name of Bratislava’s main ice hockey and multi-purpose venue now known as Ondrej Nepela Arena.
  • D. Imtech Arena
    Imtech Arena is a football stadium in Hamburg, Germany, best known as the longtime home ground of Hamburger SV and for hosting major Bundesliga and international matches.
  • E. Sazka Arena
    Sazka Arena is a major indoor ice hockey and multi-purpose arena in Prague, Czech Republic, known for hosting international sporting events and concerts.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c2c7b081909af8acebc8aa93aa completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a9e66588190b71e0f60133a8995 completed April 19, 2026, 5:02 p.m.
Created at: April 8, 2026, 9:32 p.m.