Triple
T11149107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slovenia–United States relations |
E263739
|
entity |
| Predicate | SlovenianExportsToUSInclude |
P57094
|
FINISHED |
| Object | pharmaceuticals |
—
|
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: pharmaceuticals | Statement: [Slovenia–United States relations, SlovenianExportsToUSInclude, pharmaceuticals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SlovenianExportsToUSInclude Context triple: [Slovenia–United States relations, SlovenianExportsToUSInclude, pharmaceuticals]
-
A.
purchasedByUnitedStatesIn
Indicates that something was bought or acquired by the United States during a specified time period.
-
B.
consequenceForExporters
Indicates that a situation, event, or policy results in specific outcomes or impacts for entities engaged in exporting.
-
C.
exportedGood
chosen
Indicates that a good has been sent out from one country or region to another as part of international trade.
-
D.
exportedTo
Indicates that goods, services, or resources are sent out from one entity or region to another for trade or sale.
-
E.
hasStricterTradeControlsThan
Indicates that one entity enforces more restrictive or rigorous trade regulations or controls than 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8701ea481908c86c2359f5dc957 |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75ce71944819089eee9b5c9283cbd |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.