Triple
T7828323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korea Football Association |
E181300
|
entity |
| Predicate | FIFAMemberSince |
P14831
|
FINISHED |
| Object | 1948 |
—
|
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: 1948 | Statement: [Korea Football Association, FIFAMemberSince, 1948]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FIFAMemberSince Context triple: [Korea Football Association, FIFAMemberSince, 1948]
-
A.
fifaAffiliationDate
chosen
Indicates the date on which an entity formally became affiliated with FIFA.
-
B.
fifaMembership
Indicates that an entity is a member association or organization officially affiliated with FIFA.
-
C.
typeOfMembershipInFIFA
Indicates the specific category or level of a country's affiliation or membership status within FIFA.
-
D.
FIFAentry
Indicates that an entity is officially entered or registered in a FIFA-related competition, ranking, or organizational context.
-
E.
associatedClubFounded
Indicates that there exists a club associated with an entity and specifies the date or time at which that associated club was founded.
- 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb04a97d748190b1924890b1328bf1 |
completed | March 30, 2026, 11:18 p.m. |
| PD | Predicate disambiguation | batch_69cae91ae008819098e56bbe51143b31 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:43 p.m.