Triple

T11231711
Position Surface form Disambiguated ID Type / Status
Subject Grzegorz Lato E265836 entity
Predicate awardReceived P11 FINISHED
Object FIFA World Cup Golden Boot E538831 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 Golden Boot | Statement: [Grzegorz Lato, awardReceived, FIFA World Cup Golden Boot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FIFA World Cup Golden Boot
Context triple: [Grzegorz Lato, awardReceived, FIFA World Cup Golden Boot]
  • A. FIFA World Cup Golden Boot chosen
    The FIFA World Cup Golden Boot is the award given to the tournament's top goal scorer.
  • B. FIFA World Cup Silver Shoe
    The FIFA World Cup Silver Shoe is an individual football award given to the tournament’s second-highest goal scorer.
  • C. FIFA World Cup Golden Ball
    The FIFA World Cup Golden Ball is the official award given to the tournament’s best overall player, as judged by FIFA’s technical experts.
  • D. FIFA Club World Cup Golden Boot
    The FIFA Club World Cup Golden Boot is an annual football award given to the top goal scorer at the FIFA Club World Cup tournament.
  • E. European Golden Shoe
    The European Golden Shoe is an annual football award presented to the top goal scorer in league matches across all European top-division competitions.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9026e1c81909456ac946bbba972 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad49b5cc8190b99cb2cd8de72109 completed April 19, 2026, 10:24 a.m.
Created at: April 8, 2026, 9:30 p.m.