Triple
T23399038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Europa Player of the Year |
E559446
|
entity |
| Predicate | typicalWinnerNationality |
P40096
|
FINISHED |
| Object | European |
—
|
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: European | Statement: [Mr. Europa Player of the Year, typicalWinnerNationality, European]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalWinnerNationality Context triple: [Mr. Europa Player of the Year, typicalWinnerNationality, European]
-
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.
winnerEthnicity
Indicates the ethnic background or group to which the winner belongs.
-
D.
pennantWinnerHomeCountry
Indicates the country that is considered the home nation of the team that won a particular pennant.
-
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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4ddcb9481909881c77458c59c83 |
completed | April 29, 2026, 6:27 a.m. |
| PD | Predicate disambiguation | batch_69f061dde2e481908308952f9c0d3c2e |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:37 p.m.