Triple
T5973076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luis Suárez |
E132920
|
entity |
| Predicate | awardReceived |
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: [Luis Suárez, awardReceived, European Golden Shoe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: European Golden Shoe Context triple: [Luis Suárez, awardReceived, 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.
Ballon d'Or
The Ballon d'Or is an annual football award presented by France Football magazine to the player judged to have been the best in the world over the previous year.
- 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_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a01dd4081909097342afff31f9b |
completed | March 22, 2026, 7:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1135b94a88190a9b8a90ecc56cee8 |
completed | March 23, 2026, 10:18 a.m. |
Created at: March 22, 2026, 4:03 p.m.