Triple
T19343634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caribbean Regional Drug Testing Laboratory |
E483817
|
entity |
| Predicate | productTested |
P24405
|
FINISHED |
| Object | pharmaceutical products |
—
|
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: pharmaceutical products | Statement: [Caribbean Regional Drug Testing Laboratory, productTested, pharmaceutical products]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productTested Context triple: [Caribbean Regional Drug Testing Laboratory, productTested, pharmaceutical products]
-
A.
usesProduct
Indicates that one entity makes use of, applies, or employs a particular product.
-
B.
productTypeEvaluated
chosen
Indicates that an entity’s product type has been assessed or judged according to certain criteria or standards.
-
C.
testedDevice
Indicates that one entity has performed a test on, or experimentally evaluated, another entity as a device.
-
D.
productCorrespondsTo
Indicates that one product is matched or associated with another product as an equivalent, related, or corresponding item.
-
E.
byProduct
Indicates that one entity is produced incidentally or as a secondary result of a process, activity, or creation involving another entity.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61858d6788190a5d63932c1dc25e6 |
completed | April 20, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69e4dd12303c8190a2027c062b2dff40 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 1:33 p.m.