Triple
T1233545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article 32 of the Constitution of Norway |
E26495
|
entity |
| Predicate | hasTypeOfPowerRegulated |
P24779
|
FINISHED |
| Object | formal powers of the monarch |
—
|
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: formal powers of the monarch | Statement: [Article 32 of the Constitution of Norway, hasTypeOfPowerRegulated, formal powers of the monarch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfPowerRegulated Context triple: [Article 32 of the Constitution of Norway, hasTypeOfPowerRegulated, formal powers of the monarch]
-
A.
hasPower
Indicates that one entity possesses authority, control, or influence over another entity or over a particular domain or resource.
-
B.
hasNoPowerOver
Indicates that one entity lacks authority, control, or influence over another entity or situation.
-
C.
definesPoweringMode
Indicates that one entity specifies or determines the operating or powering mode used by another entity.
-
D.
hasPowerSource
Indicates that an entity derives its operational energy or functionality from a specified power source.
-
E.
powerDependsOn
Indicates that the power or effectiveness of one entity is contingent upon, or influenced by, another entity.
- 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_69a4948571c88190a9191e451e6035fd |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be5d16ec819088056167c88d3318 |
completed | March 1, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69a4bb65d61c8190bf0424ea0019a98b |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bbf83584819088c69366f58586cc |
completed | March 1, 2026, 10:21 p.m. |
Created at: March 1, 2026, 7:47 p.m.