Triple
T31149824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Digital Library of Belarus |
E794039
|
entity |
| Predicate | digitalCollectionType |
P14119
|
FINISHED |
| Object | national digital collection |
—
|
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: national digital collection | Statement: [National Digital Library of Belarus, digitalCollectionType, national digital collection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: digitalCollectionType Context triple: [National Digital Library of Belarus, digitalCollectionType, national digital collection]
-
A.
digitalLibraryName
Indicates the name assigned to a digital library in which a resource or collection is managed or accessed.
-
B.
hasDigitalCollections
Indicates that an entity possesses or provides access to one or more collections of materials in digital form.
-
C.
digitizedBy
Indicates that a physical or analog item has been converted into digital form by a particular agent or organization.
-
D.
hasDigitalArchive
Indicates that an entity maintains or is associated with a collection of materials stored in a digital archive.
-
E.
libraryCollectionType
chosen
Indicates the specific category or type of collection that a library maintains or offers (e.g., reference, circulating, digital).
- 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_69f224d41bb48190a5621cd1485e3a30 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:06 p.m.