Triple
T4578004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ICE Clear U.S. |
E101785
|
entity |
| Predicate | riskManagementFramework |
P24250
|
FINISHED |
| Object | margin models |
—
|
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: margin models | Statement: [ICE Clear U.S., riskManagementFramework, margin models]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riskManagementFramework Context triple: [ICE Clear U.S., riskManagementFramework, margin models]
-
A.
riskManagement
Indicates the implementation of strategies and actions to identify, assess, and mitigate potential risks associated with an entity or activity.
-
B.
riskManagedBy
Indicates that the potential or identified risk is controlled, mitigated, or overseen through the actions, policies, or responsibilities of a specified managing entity.
-
C.
riskBased
Indicates that something is determined, prioritized, or managed according to the level or assessment of risk involved.
-
D.
riskModel
chosen
Indicates a relationship where an entity serves as or is associated with a model used to assess, quantify, or manage risk for another entity or situation.
-
E.
riskMeasure
Indicates a quantitative assessment of the level of risk associated with an entity, event, or situation.
- 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_69bd43d4ce208190b53158c882b222e3 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd58e2a1808190be4582d5b3003d6c |
completed | March 20, 2026, 2:25 p.m. |
| PD | Predicate disambiguation | batch_69bd5228b70c8190ac48705e35a710c1 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:10 p.m.