Triple
T2602534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States and Canada |
E58376
|
entity |
| Predicate | hasEnergyTrade |
P12536
|
FINISHED |
| Object | significant electricity trade |
—
|
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: significant electricity trade | Statement: [United States and Canada, hasEnergyTrade, significant electricity trade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnergyTrade Context triple: [United States and Canada, hasEnergyTrade, significant electricity trade]
-
A.
hasTrade
chosen
Indicates a relationship where one entity engages in or maintains a commercial exchange or trading activity with another entity.
-
B.
storesEnergyAs
Indicates that one entity retains or accumulates energy in the form or medium specified by another entity.
-
C.
energyRegime
Indicates the specific range or mode of energy conditions under which a process, interaction, or system operates or is characterized.
-
D.
hasEnergyManagement
Indicates that an entity possesses or is associated with a system, capability, or function for monitoring, controlling, or optimizing energy use.
-
E.
emitsMoreEnergyThanItReceives
Indicates that the subject releases a greater amount of energy than it takes in from its surroundings or inputs.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd459ca6c81908505be96d097b739 |
completed | March 7, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69abd0d4e8648190b612eb09aa085451 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.