Triple
T4855664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France and Switzerland |
E108530
|
entity |
| Predicate | shareEnergyInfrastructure |
P43089
|
FINISHED |
| Object | electricity interconnections |
—
|
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: electricity interconnections | Statement: [France and Switzerland, shareEnergyInfrastructure, electricity interconnections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shareEnergyInfrastructure Context triple: [France and Switzerland, shareEnergyInfrastructure, electricity interconnections]
-
A.
energyType
Indicates the kind or category of energy associated with an entity or process.
-
B.
energyProjectsInclude
Indicates that a broader set of energy-related initiatives or plans contains or encompasses specific individual energy projects.
-
C.
renewableEnergyShare
Indicates the proportion of total energy consumption or production that comes from renewable energy sources.
-
D.
relatedInfrastructure
chosen
Indicates that one piece of infrastructure is connected, associated, or functionally related to another infrastructure element.
-
E.
sharesPowerWith
Indicates that two or more entities jointly hold, exercise, or distribute authority or control in a shared manner.
- 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_69bd440a89548190a5f14ba6da6b97dc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2557388190a2d15571bacd24f3 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:26 p.m.