Triple
T632423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISO 20022 |
E15950
|
entity |
| Predicate | relatedStandard |
P37
|
FINISHED |
| Object | SWIFT MT |
E2724
|
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: SWIFT MT | Statement: [ISO 20022, relatedStandard, SWIFT MT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SWIFT MT Context triple: [ISO 20022, relatedStandard, SWIFT MT]
-
A.
SWIFT
chosen
SWIFT is a global financial messaging network that enables secure, standardized communication and transaction instructions between banks and other financial institutions worldwide.
-
B.
ISO 20022
ISO 20022 is a global financial messaging standard that defines a common, structured data model for electronic payments, securities, trade, and other financial transactions.
-
C.
Western Union
Western Union is a major American financial services and communications company best known for its historic telegraph network and global money transfer services.
-
D.
ISO 15022
ISO 15022 is an international standard that defines a structured, machine-readable format for securities messaging used globally in financial markets.
-
E.
Bank junction
Bank junction is a major road intersection and financial hub in the City of London, surrounded by landmark institutions such as the Bank of England and the Royal Exchange.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ec2a4c08190bc5c6ce8a10b0967 |
completed | March 1, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a56c4efbe08190aadee9964901a368 |
completed | March 2, 2026, 10:54 a.m. |
Created at: March 1, 2026, 7:35 p.m.