Triple
T526818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prescription Drug Take Back Program |
E10936
|
entity |
| Predicate | disposalMethod |
P2360
|
FINISHED |
| Object | secure collection and destruction of returned medications |
—
|
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: secure collection and destruction of returned medications | Statement: [Prescription Drug Take Back Program, disposalMethod, secure collection and destruction of returned medications]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disposalMethod Context triple: [Prescription Drug Take Back Program, disposalMethod, secure collection and destruction of returned medications]
-
A.
removalMechanism
chosen
Indicates the method or process by which something is removed, eliminated, or taken away from a system or context.
-
B.
finalSinkingMethod
Indicates the method or process ultimately used to sink or deliberately submerge an object, typically a vessel or structure.
-
C.
consumptionMethod
Indicates the manner or process by which something is consumed, used up, or ingested.
-
D.
finalDisposition
Indicates the ultimate outcome, status, or resolution assigned to an entity after all relevant processes or decisions are complete.
-
E.
deathMethod
Indicates the specific way or means by which a death occurred.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1d0d22081908aad915482d39e74 |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f0198ecc8190883849e5a8245963 |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.