Triple
T37361492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South American Footballer of the Year |
E927590
|
entity |
| Predicate | regionAwardedIn |
P146981
|
FINISHED |
| Object | CONMEBOL member countries |
—
|
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: CONMEBOL member countries | Statement: [South American Footballer of the Year, regionAwardedIn, CONMEBOL member countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionAwardedIn Context triple: [South American Footballer of the Year, regionAwardedIn, CONMEBOL member countries]
-
A.
regionOfAward
chosen
Indicates the geographic or administrative region in which an award is given or recognized.
-
B.
continentOfAwardingCountry
Indicates the continent on which the country that granted or issued the award is located.
-
C.
countryOfAwarding
Indicates the country that officially granted or conferred a particular award, honor, or recognition.
-
D.
regionWinner
Indicates that an entity is the winner of a specified region in a competition, contest, or selection process.
-
E.
awardingCity
Indicates the city in which an award is formally given or conferred.
- 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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a005be4615c8190a710ab704a46c564 |
completed | May 10, 2026, 10:20 a.m. |
| PD | Predicate disambiguation | batch_6a005b8b1cc08190850a392761b84e74 |
completed | May 10, 2026, 10:18 a.m. |
Created at: May 3, 2026, 4:16 p.m.