Triple
T455700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regulation D |
E7227
|
entity |
| Predicate | doesNotExemptFrom |
P4300
|
FINISHED |
| Object | anti-fraud provisions of federal securities laws |
—
|
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: anti-fraud provisions of federal securities laws | Statement: [Regulation D, doesNotExemptFrom, anti-fraud provisions of federal securities laws]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doesNotExemptFrom Context triple: [Regulation D, doesNotExemptFrom, anti-fraud provisions of federal securities laws]
-
A.
doesNot
chosen
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
-
B.
doesNotAbolish
Indicates that one entity, action, or law does not eliminate, revoke, or put an end to another.
-
C.
exemptionType
Indicates the specific category or kind of exemption that applies in a given context.
-
D.
doesNotGenerallyApplyTo
Indicates that a rule, property, or condition is typically not relevant or applicable to the referenced entity or situation in most cases.
-
E.
doesNotProtect
Indicates that an entity fails to provide protection or safeguarding to another entity or object.
- 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef9f772c8190863399c5ee1378fe |
completed | Feb. 28, 2026, 1:37 p.m. |
| PD | Predicate disambiguation | batch_69a2ede4de008190b5a6c159e741522e |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.