Triple
T16952381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enovid |
E411214
|
entity |
| Predicate | legalStatusAtApproval |
P125368
|
FINISHED |
| Object | prescription-only medicine |
—
|
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: prescription-only medicine | Statement: [Enovid, legalStatusAtApproval, prescription-only medicine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusAtApproval Context triple: [Enovid, legalStatusAtApproval, prescription-only medicine]
-
A.
legalStatusAtIssue
Indicates that the legal status of an entity is the central subject of dispute, consideration, or determination in a legal context.
-
B.
legalStatusBefore
Indicates the legal condition or classification that applied to an entity prior to a specified event, change, or point in time.
-
C.
legalStatusClarifiedBy
Indicates that the legal status of something is defined, explained, or resolved by a specific document, decision, or authoritative act.
-
D.
usedLegalStatus
Indicates that one entity applies or relies on the legal status or classification of another entity in a given context.
-
E.
legalStatusAtArrival
Indicates the legal status or classification an entity held at the time it first arrived at a particular place or jurisdiction.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0197f308190af7185fc9cc7a6e9 |
completed | April 18, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69e32b9aa8748190b248890aca86753d |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e355722040819098830dabf207ecd6 |
completed | April 18, 2026, 9:57 a.m. |
Created at: April 10, 2026, 5:31 a.m.