Triple

T8795688
Position Surface form Disambiguated ID Type / Status
Subject Arena Fonte Nova E209282 entity
Predicate category P87 FINISHED
Object FIFA World Cup stadiums E568501 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: FIFA World Cup stadiums | Statement: [Arena Fonte Nova, category, FIFA World Cup stadiums]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FIFA World Cup stadiums
Context triple: [Arena Fonte Nova, category, FIFA World Cup stadiums]
  • A. FIFA World Cup stadiums chosen
    FIFA World Cup stadiums are large, internationally certified football venues selected to host matches in the FIFA World Cup tournament.
  • B. Stadion
    Stadion is a Stockholm metro station on the red line, known for its colorful rainbow-themed artwork and proximity to the Stockholm Olympic Stadium.
  • C. UEFA Elite Stadium
    A UEFA Elite Stadium is a top-tier football venue that meets the highest standards set by UEFA for hosting major international club and national team competitions.
  • D. Soevereinstadion
    Soevereinstadion is a football stadium in Lommel, Belgium, primarily used for hosting the home matches of Lommel SK.
  • E. Campo de las Naciones
    Campo de las Naciones is a Madrid Metro station serving the Campo de las Naciones business and exhibition area near IFEMA in northeastern Madrid.
  • 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_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fa24ca08190a7738a7f1c446456 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f5d655881909013ac3e2ac0cebb completed April 3, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:44 p.m.