Triple
T20798228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article 90 of the Constitution of Norway |
E511968
|
entity |
| Predicate | isPartOfTitle |
P3254
|
FINISHED |
| Object | main body of the Constitution 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: main body of the Constitution of Norway | Statement: [Article 90 of the Constitution of Norway, isPartOfTitle, main body of the Constitution of Norway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfTitle Context triple: [Article 90 of the Constitution of Norway, isPartOfTitle, main body of the Constitution of Norway]
-
A.
partOfTitleStyle
Indicates that one style is used as a component or sub-style within another overall title style.
-
B.
titleOfPart
Indicates that one entity is the title specifically assigned to a part or section of another, larger work or resource.
-
C.
hasPlaceInTitle
Indicates that a work’s title explicitly includes the name of a place as part of the title.
-
D.
containsTitle
chosen
Indicates that one entity includes or holds another entity’s title as part of its content or metadata.
-
E.
hasTitleIn
Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
- 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2ae2c4c819087f620df31dc1aba |
completed | April 21, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c0575b1c81908d010223fcd1213e |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:39 p.m.