Triple
T25614191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dietary Supplement Health and Education Act of 1994 |
E642115
|
entity |
| Predicate | classifiesDietarySupplementsAs |
P159160
|
FINISHED |
| Object | food |
—
|
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: food | Statement: [Dietary Supplement Health and Education Act of 1994, classifiesDietarySupplementsAs, food]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classifiesDietarySupplementsAs Context triple: [Dietary Supplement Health and Education Act of 1994, classifiesDietarySupplementsAs, food]
-
A.
protectedDrugClassesInclude
Indicates that the specified set of protected drug classes includes the referenced drug class or classes.
-
B.
hasDietaryLaw
Indicates that one entity prescribes, follows, or is governed by a specific set of dietary rules or restrictions associated with another entity.
-
C.
FDAApprovalType
Indicates the specific regulatory pathway or category under which a product has been approved by the U.S. Food and Drug Administration.
-
D.
supportsClassification
Indicates that one entity provides the capability or functionality needed for another entity to perform or maintain a specific classification.
-
E.
drugClass
Indicates that one entity is classified as a particular pharmacological or therapeutic category of drugs in relation to another entity.
- 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_69e77e7a96748190b10f2699041e4e43 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5f9e57720819080092db441fd60ef |
completed | May 2, 2026, 1:19 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 21, 2026, 4:58 p.m.