Triple
T6722593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Football Association of Wales |
E153430
|
entity |
| Predicate | fifaCode |
P6278
|
FINISHED |
| Object | WAL |
E330091
|
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: WAL | Statement: [Football Association of Wales, fifaCode, WAL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WAL Context triple: [Football Association of Wales, fifaCode, WAL]
-
A.
WAL
chosen
WAL is the official FIFA country code used to represent the Wales national football team in international competitions and records.
-
B.
WAL
WAL is the National Rail station code for Walton-on-Thames railway station in Surrey, England.
-
C.
wal
"wal" is the ISO 639-2 language code for Wolaytta, an Omotic language spoken primarily in southwestern Ethiopia.
-
D.
WIL
WIL is the standard abbreviation used for the Wilmington Blue Rocks minor league baseball team.
-
E.
WIL
WIL is the IATA airport code for Wilson Airport, a busy domestic and regional airport serving Nairobi, Kenya.
- 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_69c6880afb988190ad88011b48ecfcba |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d139d50c81908b19120f139deaa5 |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c700a14ebc819092cc40f522540f1a |
completed | March 27, 2026, 10:11 p.m. |
Created at: March 27, 2026, 2:08 p.m.