Triple
T35136489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SEN |
E1014586
|
entity |
| Predicate | associatedCountryFIFAcode |
P191437
|
FINISHED |
| Object | SEN |
E1014586
|
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: SEN | Statement: [SEN, associatedCountryFIFAcode, SEN]
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 (4 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_69f76dd9c1848190af70d4882a2c1ad7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37d9570c3c8190908abc24d05ec126 |
completed | June 21, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:02 p.m.