Triple
T27708389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HIPAA Privacy Rule |
E698612
|
entity |
| Predicate | permitsDisclosureFor |
P163106
|
FINISHED |
| Object | public health activities |
—
|
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: public health activities | Statement: [HIPAA Privacy Rule, permitsDisclosureFor, public health activities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: permitsDisclosureFor Context triple: [HIPAA Privacy Rule, permitsDisclosureFor, public health activities]
-
A.
permitsDisclosureFor
chosen
Indicates that one party grants authorization for information to be disclosed for a specified purpose, context, or recipient.
-
B.
permitsDisclosureTo
Indicates that one party grants authorization for information to be revealed or shared with another specified party.
-
C.
disclosureLevel
Indicates the extent or degree to which information is revealed, shared, or made accessible in a given context.
-
D.
discloses
Indicates that one entity reveals, makes known, or provides previously non-public information to another entity or to the public.
-
E.
coversDisclosureOf
Indicates that one entity’s scope, terms, or provisions include and apply to the act or content of another entity’s disclosure.
- 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_69ef590f655c81909f93893b3b3219b2 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641dc8ff48190ab575d855616580c |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 3:01 p.m.