Triple
T18213650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swiss Football Association |
E436094
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | SFV-ASF |
—
|
NE NERFINISHED |
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: SFV-ASF | Statement: [Swiss Football Association, hasAbbreviation, SFV-ASF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SFV-ASF Context triple: [Swiss Football Association, hasAbbreviation, SFV-ASF]
-
A.
SFV
chosen
SFV is the abbreviation for the Swiss Football Association, the governing body of football in Switzerland.
-
B.
SFV
SFV is the abbreviated name for the National Property Board of Sweden, the government agency responsible for managing state-owned real estate and cultural heritage properties.
-
C.
SASF
SASF is the abbreviation for the South African Special Forces Brigade, an elite special operations unit of the South African National Defence Force.
-
D.
SFS
SFS is a common abbreviation for Allianz Stadium, a major sports and entertainment venue in Sydney, Australia.
-
E.
SFS
SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e475953c81909f792793ded2057e |
completed | April 19, 2026, 2:19 p.m. |
Created at: April 10, 2026, 10:32 a.m.