Triple
T6295764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constitution of 17 May 1814 |
E141126
|
entity |
| Predicate | rankInLegalHierarchy |
P6053
|
FINISHED |
| Object | supreme law of Norway |
—
|
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: supreme law of Norway | Statement: [Constitution of 17 May 1814, rankInLegalHierarchy, supreme law of Norway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInLegalHierarchy Context triple: [Constitution of 17 May 1814, rankInLegalHierarchy, supreme law of Norway]
-
A.
legalHierarchyRank
chosen
Indicates the relative position or level of authority an entity holds within a legal or judicial hierarchy.
-
B.
courtRank
Indicates the formal hierarchical rank or status an individual holds within a court or courtly system.
-
C.
hasLegalHierarchy
Indicates that one entity holds a higher or subordinate legal status, authority, or jurisdiction in relation to another within a formal legal structure.
-
D.
hasLegalRank
Indicates that an entity holds a specific legal status, classification, or rank within a formal legal or regulatory system.
-
E.
legalAuthorityLevel
Indicates the degree or rank of formal legal power or jurisdiction an entity holds in relation to another or within a given context.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06439a6908190b0a8ebf426d3ca02 |
completed | March 22, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69c060df0d8881908215575862ef6831 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:27 p.m.