Triple
T35136489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SEN |
E1014586
|
entity |
| Predicate | associatedCountryFIFAcode |
—
|
GENERATED |
| Object | SEN |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCountryFIFAcode Context triple: [SEN, associatedCountryFIFAcode, SEN]
-
A.
correspondingFIFACode
chosen
Indicates that one entity is associated with, or mapped to, its corresponding official FIFA code.
-
B.
fifaAffiliationCountry
Indicates that a country is affiliated with or recognized by FIFA as a member football association.
-
C.
homeCountryFIFA_code
Indicates the FIFA country code that represents the national association or home country with which an entity is affiliated.
-
D.
hasHomeCountryFootballAssociation
Indicates that an entity is affiliated with or governed by a specific national football association that serves as its home country’s official football governing body.
-
E.
countryOfStrongAssociation
Indicates a strong, notable, or primary connection between an entity and a specific country, such as origin, major activity, or significant influence.
- F. None of above.
Provenance (1 batch)
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_69f76dd9c1848190af70d4882a2c1ad7 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:02 p.m.