Triple
T12483043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2006 FIFA World Cup Golden Boot winner |
E298358
|
entity |
| Predicate | winnerNationalityDuringTournament |
P40096
|
FINISHED |
| Object | German |
—
|
LITERAL 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: German | Statement: [2006 FIFA World Cup Golden Boot winner, winnerNationalityDuringTournament, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerNationalityDuringTournament Context triple: [2006 FIFA World Cup Golden Boot winner, winnerNationalityDuringTournament, German]
-
A.
nationalityOfWinner
chosen
Indicates the country or nationality associated with the winner of a given event or competition.
-
B.
winnerCountry
Indicates the country that achieved first place or victory in a given competition, event, or contest.
-
C.
hasCountryRepresentedByWinners
Indicates that a given country is represented by one or more winners in a particular context, such as a competition or award.
-
D.
recordWinners
Indicates that an entity documents or stores information about the winners of a particular event, contest, or competition.
-
E.
dominantProducingCountryAmongWinners
Indicates the country that most frequently appears as the producing country among a given set of winners.
- F. None of above.
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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e8a706c8190873623eab7db607d |
completed | April 10, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69d94d41f3cc8190a3331fb9a895306f |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:56 p.m.