Triple
T135290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danish language |
E2734
|
entity |
| Predicate | partOfContinuum |
P5198
|
FINISHED |
| Object | Danish–Norwegian–Swedish dialect continuum |
—
|
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: Danish–Norwegian–Swedish dialect continuum | Statement: [Danish language, partOfContinuum, Danish–Norwegian–Swedish dialect continuum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfContinuum Context triple: [Danish language, partOfContinuum, Danish–Norwegian–Swedish dialect continuum]
-
A.
partOfSystem
Indicates that one entity functions as a component or subsystem within the structure or organization of another entity.
-
B.
partOfSeriesOfEvents
Indicates that an event is one element within a larger, ordered sequence of related events.
-
C.
isNotPartOf
Indicates that one entity does not belong to, is not contained within, and is not a component or member of another entity.
-
D.
partOfProcess
Indicates that one event, step, or action occurs as a component or stage within a larger overall process.
-
E.
partlyDefinedBy
Indicates that one entity’s nature, role, or characteristics are only partially determined or specified 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257a3ad908190b6a8652f09ae0cbb |
completed | Feb. 28, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69a25651b9048190a6277b7fec98c1ea |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a256c72f6c81909b619b90d829d86e |
completed | Feb. 28, 2026, 2:45 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.