Triple
T11115523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zyrtec |
E262874
|
entity |
| Predicate | isNonNarcotic |
P97020
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Zyrtec, isNonNarcotic, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonNarcotic Context triple: [Zyrtec, isNonNarcotic, true]
-
A.
isNonIntoxicating
Indicates that something does not cause intoxication or impair a person's mental or physical faculties.
-
B.
hasNotableDrug
Indicates that an entity is associated with a drug that is considered notable or significant in some recognized context.
-
C.
isAvailableWithoutPrescriptionIn
Indicates that a medication or product can be legally obtained in a given place without requiring a prescription.
-
D.
isNonPsychoactivePrecursorOf
Indicates that one substance is a precursor of another in a biochemical or pharmacological pathway, and that the precursor itself does not produce psychoactive effects.
-
E.
isPrescriptionOnly
Indicates that the item can only be obtained or used when authorized by a licensed prescriber, such as through a formal prescription.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79aa7254c8190abce35696ad2be03 |
completed | April 9, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69d7441cf8188190b8095f622c923156 |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750cb26f48190a134614d0aa8e283 |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:27 p.m.