Triple

T11273869
Position Surface form Disambiguated ID Type / Status
Subject Crack (football) E266880 entity
Predicate precededBy P97 FINISHED
Object Top Star (football) E264886 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: Top Star (football) | Statement: [Crack (football), precededBy, Top Star (football)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Top Star (football)
Context triple: [Crack (football), precededBy, Top Star (football)]
  • A. Top Star football chosen
    The Top Star football was the official match ball used throughout the 1958 FIFA World Cup in Sweden.
  • B. Derbystar football
    Derbystar football is a high-quality professional match ball widely recognized for its use in top-tier German football competitions.
  • C. Premier Player
    Premier Player is a subscription-based sports streaming service and app from Premier Sports that provides live and on-demand coverage of various sporting events.
  • D. The FA Player
    The FA Player is a free global streaming platform run by the English Football Association that offers live and on-demand coverage of women’s football, including the FA Women’s Super League.
  • E. Topbaş
    Topbaş is a Turkish surname most notably associated with Kadir Topbaş, a prominent politician and former mayor of Istanbul.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e965c9048190804ebb48f0a4817b completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f445792c8190962d94aa71f328d9 completed April 19, 2026, 3:27 p.m.
Created at: April 8, 2026, 9:31 p.m.