Triple
T35406158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FedRAMP High impact level |
E1023367
|
entity |
| Predicate | hasControlBaseline |
P55279
|
FINISHED |
| Object | FedRAMP High security control baseline |
E1023779
|
NE 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 High security control baseline | Statement: [FedRAMP High impact level, hasControlBaseline, FedRAMP High security control baseline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasControlBaseline Context triple: [FedRAMP High impact level, hasControlBaseline, FedRAMP High security control baseline]
-
A.
hasBaselineLength
Indicates that one entity has a specified baseline length measurement in relation to another entity or reference.
-
B.
hasControlBranch
Indicates that one entity possesses a controlling or decision-making branch or subdivision within another entity or system.
-
C.
usesBaseline
chosen
Indicates that one entity relies on or applies another entity as a reference baseline for comparison, measurement, or evaluation.
-
D.
hasControlService
Indicates that one entity provides or performs a control-related service for another entity.
-
E.
hasControlElement
Indicates that one entity includes or is associated with a component specifically intended to control, regulate, or influence its behavior or operation.
- F. None of above.
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_69f76df43ca4819098711ca4370f1bb9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a382cce7ad481908d2c71cd31a0f6c9 |
completed | June 21, 2026, 6:26 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:03 p.m.