Triple
T6781524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GF |
E155692
|
entity |
| Predicate | usedInFinancialStandards |
P1587
|
FINISHED |
| Object | IBAN country identification for French Guiana |
—
|
LITERAL 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: IBAN country identification for French Guiana | Statement: [GF, usedInFinancialStandards, IBAN country identification for French Guiana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInFinancialStandards Context triple: [GF, usedInFinancialStandards, IBAN country identification for French Guiana]
-
A.
usedInFinancialDocuments
Indicates that something is employed or appears within financial documents or records.
-
B.
usedByFinancialMarket
Indicates that something is employed or utilized within the operations, practices, or mechanisms of a financial market.
-
C.
reportingStandard
Indicates that one entity uses, follows, or is governed by a particular reporting standard defined by another entity.
-
D.
usesStandard
chosen
Indicates that one entity adopts, follows, or operates according to a specified standard defined by another entity or reference.
-
E.
usedInPractice
Indicates that something is actually applied or implemented in real-world practice rather than just being theoretical or proposed.
- F. None of above.
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_69c688162bf8819088b664b5c3b5be7a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d26c621c8190a6eddc0d395e13e4 |
completed | March 27, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69c6d095dcac8190bb9b943f50a7f885 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:14 p.m.