Triple

T6418689
Position Surface form Disambiguated ID Type / Status
Subject Diego Forlán E127890 entity
Predicate individualAward P11 FINISHED
Object European Golden Shoe E171392 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: European Golden Shoe | Statement: [Diego Forlán, individualAward, European Golden Shoe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: European Golden Shoe
Context triple: [Diego Forlán, individualAward, European Golden Shoe]
  • A. European Golden Shoe chosen
    The European Golden Shoe is an annual football award presented to the top goal scorer in league matches across all European top-division competitions.
  • B. Belgian Golden Shoe
    The Belgian Golden Shoe is an annual football award presented to the best player in Belgium’s top division, voted on for performances over the previous calendar year.
  • C. 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.
  • D. FIFA World Cup Golden Boot
    The FIFA World Cup Golden Boot is the award given to the tournament's top goal scorer.
  • E. UEFA Club Forward of the Year
    The UEFA Club Forward of the Year was a European football award presented by UEFA to the best-performing striker in club competitions for a given season.
  • 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_69c0083815208190a9b299b8e0640218 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068eb6c988190b54de6182d0f490d completed March 22, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640d2ab64819089e91525da60392b completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:42 p.m.