Triple
T33713489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian energy market |
E863806
|
entity |
| Predicate | mainInterconnectors |
P124777
|
FINISHED |
| Object | NordLink |
—
|
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: NordLink | Statement: [Norwegian energy market, mainInterconnectors, NordLink]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainInterconnectors Context triple: [Norwegian energy market, mainInterconnectors, NordLink]
-
A.
hasMajorInterconnection
chosen
Indicates that there exists a significant, primary, or high-capacity connection or linkage between two entities.
-
B.
interconnectionMethodToOtherGrids
Indicates the method or mechanism by which one grid is physically or operationally interconnected to other grids.
-
C.
mainTranscontinentalConnection
Indicates that something serves as the primary route or link connecting regions or networks that span across an entire continent.
-
D.
connectsToInternationalCorridor
Indicates that an entity has a direct linkage or access to an international transportation or trade corridor.
-
E.
connectsInlandCommunitiesTo
Indicates a relationship in which something serves as a link or conduit between inland communities and another place, system, or network.
- 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_69f3498844608190bb8f9b14908d2510 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fabe07848190bd4f14ac6dfa35b6 |
completed | May 3, 2026, 7:35 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:43 a.m.