Triple
T28907711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banco de la Nación Argentina |
E733129
|
entity |
| Predicate | isNationalBankOf |
P165516
|
FINISHED |
| Object | Argentina |
—
|
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: Argentina | Statement: [Banco de la Nación Argentina, isNationalBankOf, Argentina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNationalBankOf Context triple: [Banco de la Nación Argentina, isNationalBankOf, Argentina]
-
A.
hasFederalReserveBank
Indicates that an entity possesses, is served by, or is associated with a specific Federal Reserve Bank within the Federal Reserve System.
-
B.
isOneOfLargestBanksIn
Indicates that a bank ranks among the largest financial institutions within the specified geographic or market region.
-
C.
riverBankOne
Indicates that the referenced entity is one specific side or bank of a river, typically the first or primary one in a pairwise relation.
-
D.
hasBank
Indicates that one entity possesses, is associated with, or is served by a particular bank (such as a financial institution or river bank).
-
E.
hasFinancialInstitution
Indicates that one entity is associated with or linked to a financial institution, such as a bank or similar financial service provider.
- F. None of above. chosen
Provenance (4 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_69f05b096d208190958a57d2e4b5a93a |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65adbd0c481909b11c92ac9aebea4 |
completed | May 2, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69f6576487e081908d802f1caf59c423 |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f65875030881909007c502b7dcc998 |
completed | May 2, 2026, 8:03 p.m. |
Created at: April 28, 2026, 8:08 a.m.