Triple
T25905751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Economy of Paraguay |
E652745
|
entity |
| Predicate | electricityExportingCountry |
P175613
|
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: [Economy of Paraguay, electricityExportingCountry, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electricityExportingCountry Context triple: [Economy of Paraguay, electricityExportingCountry, true]
-
A.
energyExportDestination
Indicates the location or entity to which energy produced in one place is exported.
-
B.
hydropowerElectricityExportedTo
Indicates that electricity generated from hydropower in one entity is exported or transmitted to another entity.
-
C.
electricityExportPotential
Indicates the capacity or suitability for sending surplus generated electricity from one entity or region to another.
-
D.
countryUsesElectricityFrom
Indicates that a country obtains and utilizes electrical power supplied from a specified source or provider.
-
E.
isMajorSourceOfElectricityFor
Indicates that one entity provides the primary or dominant share of electrical power used by another entity.
- 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_69e7ab3d3f8481909bc53ed64c06af33 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d6a482fc8190b526291cd99b8696 |
completed | May 3, 2026, 5:01 a.m. |
Created at: April 22, 2026, 8:27 a.m.