Triple
T21629659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FirstRand Group |
E533794
|
entity |
| Predicate | segment |
P889
|
FINISHED |
| Object | FNB retail and commercial |
—
|
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: FNB retail and commercial | Statement: [FirstRand Group, segment, FNB retail and commercial]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FNB retail and commercial Context triple: [FirstRand Group, segment, FNB retail and commercial]
-
A.
FNB
FNB is the National Rail station code for Farnborough (Main) railway station in Hampshire, England.
-
B.
FNB
chosen
FNB is a major South African financial institution offering a wide range of banking and financial services to individuals and businesses.
-
C.
Nedbank
Nedbank is one of South Africa’s major financial institutions, offering a wide range of banking and financial services to retail, business, and corporate clients.
-
D.
FNM
FNM was the former stock ticker symbol for Fannie Mae, the U.S. government-sponsored enterprise that provides liquidity and stability to the mortgage market.
-
E.
FNS
FNS is the U.S. Department of Agriculture agency that administers federal food assistance and nutrition programs such as SNAP and school meals.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5215ae3c81909e6dedba23822970 |
completed | April 27, 2026, 12:09 p.m. |
Created at: April 16, 2026, 6:34 p.m.