Triple
T143213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norway |
E2896
|
entity |
| Predicate | energyExport |
P3592
|
FINISHED |
| Object | major oil exporter |
—
|
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: major oil exporter | Statement: [Norway, energyExport, major oil exporter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: energyExport Context triple: [Norway, energyExport, major oil exporter]
-
A.
storesEnergyAs
Indicates that one entity retains or accumulates energy in the form or medium specified by another entity.
-
B.
designEnergy
Indicates that an entity is responsible for planning, specifying, or determining the energy-related characteristics or performance of another entity.
-
C.
economicUse
chosen
Indicates that one entity utilizes another for economic purposes, such as production, trade, revenue generation, or cost-saving activities.
-
D.
electrification
Indicates the process or state of providing electrical power or converting something to operate using electricity.
-
E.
economicDamage
Indicates that one entity causes or experiences financial loss, harm, or negative economic impact as a result of another entity or event.
- 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a2580ca15481909fa3e87d804a1b23 |
completed | Feb. 28, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69a2565559ac81909e0c4e095a7dfa27 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.