Triple
T18136714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basel I Accord |
E434154
|
entity |
| Predicate | appliesRiskWeight |
P130591
|
FINISHED |
| Object | 0 percent risk weight for certain OECD government exposures |
—
|
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: 0 percent risk weight for certain OECD government exposures | Statement: [Basel I Accord, appliesRiskWeight, 0 percent risk weight for certain OECD government exposures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesRiskWeight Context triple: [Basel I Accord, appliesRiskWeight, 0 percent risk weight for certain OECD government exposures]
-
A.
riskBasis
Indicates the underlying factor, condition, or rationale that forms the basis for assessing or assigning risk in a given context.
-
B.
riskAssessmentBy
Indicates that a risk assessment is performed, evaluated, or provided by a specific agent or entity.
-
C.
riskType
Indicates the category or nature of risk associated with an entity, event, or relationship.
-
D.
riskLevel
Indicates the degree of potential harm, loss, or adverse outcome associated with a particular situation, action, or entity.
-
E.
riskBased
Indicates that something is determined, prioritized, or managed according to the level or assessment of risk involved.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de07b4b4819085fe80beb7addfd0 |
completed | April 19, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69e43317d11c81908d1dc14921566b47 |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f5ae2c8190b11dee46534fa5a9 |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:29 a.m.