Triple
T22717783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allegra |
E561779
|
entity |
| Predicate | isNonSedating |
P149430
|
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: [Allegra, isNonSedating, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonSedating Context triple: [Allegra, isNonSedating, true]
-
A.
isNonNarcotic
Indicates that something does not possess narcotic properties or effects.
-
B.
isNonIntoxicating
Indicates that something does not cause intoxication or impair a person's mental or physical faculties.
-
C.
isNonSteroidal
Indicates that something does not possess steroidal characteristics or is not derived from steroids.
-
D.
isNoninvasive
Indicates that an action, procedure, or method does not require entering the body or significantly disrupting the subject’s physical integrity.
-
E.
requiresSedation
Indicates that performing the associated action or procedure necessitates sedating the involved entity (typically a patient).
- 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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1790ecbc48190926d16b20b674dbd |
completed | April 29, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69ee62bd657c81909f7b01245b080a5f |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:19 p.m.