Triple
T33713508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian energy market |
E863806
|
entity |
| Predicate | CO2IntensityOfPower |
P177235
|
FINISHED |
| Object | very low |
—
|
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: very low | Statement: [Norwegian energy market, CO2IntensityOfPower, very low]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CO2IntensityOfPower Context triple: [Norwegian energy market, CO2IntensityOfPower, very low]
-
A.
co2Emissions
Indicates the amount of carbon dioxide released into the atmosphere as a result of a specific activity, process, or entity.
-
B.
coalUse
Indicates the use or consumption of coal by an entity, typically as a fuel or energy source.
-
C.
electricityExportingCountry
Indicates that a country exports electricity to other countries as part of international energy trade.
-
D.
countryUsesPower
Indicates that a country employs or exercises a particular form of power (such as political, economic, or military) in some context or toward some target.
-
E.
energyCooperation
Indicates a collaborative relationship in which entities work together to share, develop, or manage energy resources, technologies, or policies.
- F. None of above. chosen
Provenance (4 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_69f6fae2a7a8819099945d1706a94bfd |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fa335b908190a20d92d5396203b5 |
completed | May 3, 2026, 7:33 a.m. |
Created at: May 1, 2026, 1:43 a.m.