Triple
T6208523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Sverre Magnus of Norway |
E138807
|
entity |
| Predicate | styleChangeReason |
P6009
|
FINISHED |
| Object | modernization of the Norwegian monarchy |
—
|
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: modernization of the Norwegian monarchy | Statement: [Prince Sverre Magnus of Norway, styleChangeReason, modernization of the Norwegian monarchy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: styleChangeReason Context triple: [Prince Sverre Magnus of Norway, styleChangeReason, modernization of the Norwegian monarchy]
-
A.
changeReason
Indicates the reason or justification for a modification or change made to an entity or its state.
-
B.
reasonForChange
chosen
Indicates that one entity serves as the cause, justification, or motivation for a modification or change in another entity or state.
-
C.
styleRestriction
Indicates a constraint or limitation imposed on the manner, form, or stylistic way in which something may be expressed, presented, or performed.
-
D.
styleSegment
Indicates a relationship where one segment is characterized or defined by a particular style or formatting.
-
E.
stylingFeature
Indicates a visual or design-related characteristic applied to an entity, such as formatting, layout, or aesthetic treatment.
- 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_69c008ada364819096c9e92c74d639b5 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062870d5881909b8d4e33ff31a907 |
completed | March 22, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69c055fdea3c81908f5d910f0d36234a |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:21 p.m.