Triple
T35406280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FedRAMP Low |
E1023369
|
entity |
| Predicate | relatedBaseline |
P55279
|
FINISHED |
| Object | FedRAMP Moderate |
E310853
|
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 Moderate | Statement: [FedRAMP Low, relatedBaseline, FedRAMP Moderate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedBaseline Context triple: [FedRAMP Low, relatedBaseline, FedRAMP Moderate]
-
A.
usesBaseline
chosen
Indicates that one entity relies on or applies another entity as a reference baseline for comparison, measurement, or evaluation.
-
B.
associatedBase
Indicates a relationship where one entity is linked or connected to a corresponding base entity that it depends on or is derived from.
-
C.
baselineType
Indicates the type or category of a baseline used as a reference point for comparison or evaluation.
-
D.
relatedScale
Indicates that two entities are connected through a common or comparable scale, measurement, or gradation system.
-
E.
relatedMetric
Indicates that one metric has a defined relationship or dependency with another metric.
- 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_6a3836ae29d08190bae88797e42bb45f |
completed | June 21, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:03 p.m.