Triple
T34894171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonatrach |
E1006383
|
entity |
| Predicate | isOneOfLargestEnergyProducersIn |
P33520
|
FINISHED |
| Object | Africa |
—
|
NE NERFINISHED |
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: Africa | Statement: [Sonatrach, isOneOfLargestEnergyProducersIn, Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOneOfLargestEnergyProducersIn Context triple: [Sonatrach, isOneOfLargestEnergyProducersIn, Africa]
-
A.
isMajorSourceOfElectricityFor
Indicates that one entity provides the primary or dominant share of electrical power used by another entity.
-
B.
isMajorProducerOf
chosen
Indicates that an entity plays a leading or highly significant role in producing or supplying a particular product, resource, or output.
-
C.
oneOfLargestPowerStationsIn
Indicates that a power station is among the largest power stations located within a specified area or region.
-
D.
largestPowerStationInCountry
Indicates that the subject is the power station with the greatest capacity or output within the specified country.
-
E.
emitsMostEnergyIn
Indicates that one entity produces or radiates the greatest amount of its total energy output within the specified medium, range, or region represented by the other 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_69f76dbfe5788190ad8b64f241f470c8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4 p.m.