Triple
T12354122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bulgarian National Bank |
E294564
|
entity |
| Predicate | ISO4217CurrencyCode |
P208
|
FINISHED |
| Object | BGN |
E294563
|
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: BGN | Statement: [Bulgarian National Bank, ISO4217CurrencyCode, BGN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BGN Context triple: [Bulgarian National Bank, ISO4217CurrencyCode, BGN]
-
A.
BGN
BGN is the standard abbreviation for the U.S. Board on Geographic Names, the federal body that maintains uniform geographic name usage across the United States government.
-
B.
BGN
chosen
BGN is the official currency code for the Bulgarian lev, the national currency of Bulgaria.
-
C.
BGN
BGN is the National Rail station code for Bridgend railway station in South Wales, United Kingdom.
-
D.
BZG
BZG is the IATA airport code for Bydgoszcz Ignacy Jan Paderewski Airport in Bydgoszcz, Poland.
-
E.
B.G.
B.G. is an American rapper from New Orleans, best known as a former member of the Hot Boys and an early standout artist on the Cash Money Records label.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f8bc60c8190b0ceb84093e70db4 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6346faa0481909e2f8463bff88c52 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:54 p.m.