Triple
T21629691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FNB |
E533795
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | FirstRand Group |
—
|
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: FirstRand Group | Statement: [FNB, partOf, FirstRand Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FirstRand Group Context triple: [FNB, partOf, FirstRand Group]
-
A.
FirstRand Group
chosen
FirstRand Group is one of South Africa’s largest diversified financial services groups, offering banking, insurance, and investment products across multiple African and international markets.
-
B.
Equator Bank
Equator Bank was a financial institution where future Liberian president and economist Ellen Johnson Sirleaf held a professional position during her banking career.
-
C.
Patria Group
Patria Group is a Finnish defense, security, and aviation technology company known for developing and manufacturing military vehicles, systems, and related services.
-
D.
Ferromex
Ferromex is one of Mexico’s largest freight railroad companies, operating an extensive rail network that connects key industrial and commercial regions across North America.
-
E.
BBVA USA
BBVA USA was a U.S.-based banking institution offering retail and commercial financial services as part of the global BBVA Group.
- 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.