Triple
T33713504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian energy market |
E863806
|
entity |
| Predicate | mainEndUseSectors |
P143750
|
FINISHED |
| Object | households |
—
|
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: households | Statement: [Norwegian energy market, mainEndUseSectors, households]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainEndUseSectors Context triple: [Norwegian energy market, mainEndUseSectors, households]
-
A.
typicalSectorUse
Indicates the type of sector in which something is most commonly or characteristically used.
-
B.
industrialUseEnd
Indicates the point in time or condition at which an industrial use or application of something is terminated or ceases.
-
C.
economicSectors
chosen
Indicates a relationship that associates entities with the economic sectors or industries in which they operate or to which they belong.
-
D.
approximateEndUse
Indicates that something is an estimated or inferred final purpose, application, or consumption context of another entity.
-
E.
typicalConstituentSector
Indicates that something is a usual or characteristic sector that forms part of a larger whole or system.
- 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.