Triple
T35406153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FedRAMP High impact level |
E1023367
|
entity |
| Predicate | hasHigherStringencyThan |
P90714
|
FINISHED |
| Object | FedRAMP Moderate impact level |
—
|
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: FedRAMP Moderate impact level | Statement: [FedRAMP High impact level, hasHigherStringencyThan, FedRAMP Moderate impact level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHigherStringencyThan Context triple: [FedRAMP High impact level, hasHigherStringencyThan, FedRAMP Moderate impact level]
-
A.
hasStricterStandardThan
chosen
Indicates that one entity’s rules, criteria, or requirements are more demanding or rigorous than those of another entity.
-
B.
requiresStricterRegulationsThan
Indicates that one entity must be governed by more stringent or demanding regulations than another entity.
-
C.
enforcementStrength
Indicates the degree or intensity with which rules, laws, or policies are applied and enforced in a given context.
-
D.
hasMoreRestrictionsThan
Indicates that one entity is subject to a greater number or stricter set of limitations, rules, or constraints than another entity.
-
E.
hasLessStrictTradeControlsThan
Indicates that one entity’s trade regulations or restrictions are more relaxed or permissive compared to those of another entity.
- 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_69f76df43ca4819098711ca4370f1bb9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff45793d5c81909dc503ad1f714ee2 |
completed | May 9, 2026, 2:32 p.m. |
| PD | Predicate disambiguation | batch_69ff41cb0e088190a6e9b03cb20e5fad |
completed | May 9, 2026, 2:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.