Triple
T3962955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BZ |
E85946
|
entity |
| Predicate | usedInFinance |
P724
|
FINISHED |
| Object | some financial and banking systems for country identification |
—
|
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: some financial and banking systems for country identification | Statement: [BZ, usedInFinance, some financial and banking systems for country identification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInFinance Context triple: [BZ, usedInFinance, some financial and banking systems for country identification]
-
A.
usedInFinancialDocuments
Indicates that something is employed or appears within financial documents or records.
-
B.
usedByFinancialMarket
chosen
Indicates that something is employed or utilized within the operations, practices, or mechanisms of a financial market.
-
C.
economicUse
Indicates that one entity utilizes another for economic purposes, such as production, trade, revenue generation, or cost-saving activities.
-
D.
usedInTaxPayments
Indicates that something is employed or applied as part of making or fulfilling tax payments.
-
E.
usedFund
Indicates that one entity expended or applied a particular fund or financial resource for some purpose.
- 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_69aed93a96908190bcbdbfa718f155bd |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefba878a48190a2e234d775215938 |
completed | March 9, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69aef8efcf3c81908ccf61d9ce26b0c0 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:31 p.m.