Triple
T13106403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FedRAMP Moderate |
E310853
|
entity |
| Predicate | controlBaselineSize |
P108089
|
FINISHED |
| Object | more controls than FedRAMP Low |
—
|
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: more controls than FedRAMP Low | Statement: [FedRAMP Moderate, controlBaselineSize, more controls than FedRAMP Low]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controlBaselineSize Context triple: [FedRAMP Moderate, controlBaselineSize, more controls than FedRAMP Low]
-
A.
hasBaselineLength
Indicates that one entity has a specified baseline length measurement in relation to another entity or reference.
-
B.
setSize
Indicates assigning or changing the size or dimensions of an entity.
-
C.
sampleSize
Indicates the number of units, observations, or instances included in a particular study, experiment, or dataset.
-
D.
usesBaseline
Indicates that one entity relies on or applies another entity as a reference baseline for comparison, measurement, or evaluation.
-
E.
setsBaselinePeriod
Indicates that an entity establishes or defines a reference time span used as the baseline for comparison, measurement, or evaluation of subsequent periods.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98154c9f48190aeca779d97151759 |
completed | April 10, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69d98041a3548190a05ddd83dbb660fa |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d98134df64819084a5674f9475dcc2 |
completed | April 10, 2026, 11:01 p.m. |
Created at: April 9, 2026, 9:05 p.m.