Triple
T9977205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copa Argentina |
E196361
|
entity |
| Predicate | governingBody |
P46
|
FINISHED |
| Object | AFA |
E532166
|
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: AFA | Statement: [Copa Argentina, governingBody, AFA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AFA Context triple: [Copa Argentina, governingBody, AFA]
-
A.
AFA
chosen
AFA is the Argentine Football Association, the main governing body responsible for organizing and regulating football in Argentina, including its national teams and professional leagues.
-
B.
KFA
KFA is the commonly used abbreviation for the Korea Football Association, the governing body of football in South Korea.
-
C.
FAFC
FAFC is the common abbreviation for Forfar Athletic Football Club, a Scottish professional football team based in the town of Forfar.
-
D.
AFC
The AFC (Asian Football Confederation) is the governing body for association football in Asia, overseeing international competitions and member associations across the continent.
-
E.
AFC
AFC is a mixed martial arts promotion that has hosted professional bouts featuring fighters such as Jorge Masvidal.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb84d0d3c8190b268582bb79c8973 |
completed | April 2, 2026, 12:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23de601f0819096004bf60ffa2d2c |
completed | April 5, 2026, 10:48 a.m. |
Created at: March 30, 2026, 8:48 p.m.